Global climate change has intensified the frequency and severity of extreme rainfall events,thereby exacerbating flood disasters.To mitigate such risks,timely and accurate rainfall measurements are essential,yet cost-...Global climate change has intensified the frequency and severity of extreme rainfall events,thereby exacerbating flood disasters.To mitigate such risks,timely and accurate rainfall measurements are essential,yet cost-effectiveness must also be considered.However,many river basins—particularly mountainous small watersheds—suffer from poorly designed rain gauge networks,limiting real-time data acquisition.Existing optimization methods are largely developed for large river basins or plains and are not directly applicable to mountainous small watersheds,where rainfall exhibits strong spatial heterogeneity and gauge networks are sparse.To address this gap,this study takes the Fuhuxi Watershed of Mount Emei in Sichuan Province,Southwest China,as a case study and develops a collaborative optimization framework integrating information entropy,the Maximum Information Minimum Redundancy(MIMR)criterion,and Long Short-Term Memory(LSTM)networks.Specifically,we quantified the information entropy matrix of seven existing rain gauge stations and applied the MIMR criterion,resulting in the retention of five key stations.The optimized network preserves 99%of the effective rainfall information from the original seven stations while significantly reducing operational and maintenance costs.Using data from nine rainfall-induced flood events between 2018 and 2023,we developed an LSTM-based runoff simulation model.The optimized network,which removes stations with low information content and high redundancy,achieved excellent flood simulation accuracy.The study demonstrates that:(1)information entropy theory effectively interprets the spatial correlation and information redundancy of rain gauge stations in mountainous small watersheds;and(2)the LSTM model validates the feasibility of using an optimized rain gauge network to support highprecision flood simulations.Finally,we propose suggestions for future research,particularly regarding the optimization of rain gauge networks to improve the understanding of optimal network design and thereby enhance the accuracy of rainfall-runoff simulations.展开更多
Flooding is a prevalent natural hazard that poses significant challenges for accurate prediction and risk assessment.Effective spatial prediction is essential for developing strategies to mitigate the impacts of flood...Flooding is a prevalent natural hazard that poses significant challenges for accurate prediction and risk assessment.Effective spatial prediction is essential for developing strategies to mitigate the impacts of floods.This study aimed to map flood susceptibility in the Ourika watershed using three machine learning algorithms:eXtreme Gradient Boosting(XGBoost),Random Forest(RF),and K-Nearest Neighbors(KNN).The analysis used 557 binary data points(1=flood zone,0=non-flood zone)to generate a flood inventory map.Fifteen potential flood-influencing factors were considered,and the most relevant and independent variables were selected through a multi-collinearity analysis.The final flood susceptibility maps revealed that 90%of the area was classified as non-flood susceptible,while the remaining 10%was identified as highly prone to flooding.The performance of the machine learning models was evaluated using training and validation tests,with the models demonstrating satisfactory results.The average area under the curve(AUC)for the receiver operating characteristic(ROC)curve was 0.89,indicating good predictive accuracy across all three algorithms.This study provides an effective approach for flood susceptibility mapping in the Ourika watershed and highlights the potential of machine learning techniques for improving flood risk management.The results can support more informed decision-making for flood mitigation strategies,helping to reduce the impact of future flood events.The developed flood susceptibility maps offer valuable insights for local authorities and stakeholders involved in flood risk management and disaster preparedness.展开更多
Soil erosion is a significant driver of land degradation in semi-arid environments.This study applied the Revised Universal Soil Loss Equation(RUSLE)integrated with GIS and remote sensing to estimate annual soil loss ...Soil erosion is a significant driver of land degradation in semi-arid environments.This study applied the Revised Universal Soil Loss Equation(RUSLE)integrated with GIS and remote sensing to estimate annual soil loss in the Duhok watershed of northern Iraq.At 12.5 m resolution,the watershed was categorized into five erosion hazard levels based on rainfall,soil,slope,land cover,and conservation practices.The results show that 44.4%of the area faces very high erosion hazard,while 3.5%faces extremely high hazard.Overlaying land use and land cover data with erosion zones revealed that agricultural,built-up,and barren lands are disproportionately exposed to high to extremely high soil loss.These findings highlight the influence of human activities such as farming,urban expansion,and damming on erosion dynamics.The study identifies priority sites for soil conservation and provides a decision-support framework for sustainable watershed management.展开更多
The geomorphic evolution of the Xindiangou small watershed on the Loess Plateau in China is influenced by many factors,resulting in very complex evolutionary characteristics of erosion,morphology,and development.Since...The geomorphic evolution of the Xindiangou small watershed on the Loess Plateau in China is influenced by many factors,resulting in very complex evolutionary characteristics of erosion,morphology,and development.Since 1952,a number of soil and water conservation projects have been implemented in the watershed,especially the largescale project of returning farmland to forest and grass since 1999,which has significant impact on the erosion characteristics of the loess.This paper takes a unique perspective of the watershed geomorphic system and its watershed geomorphic entropy(WGE)and clarifies the geomorphic erosion characteristics of the Xindiangou small watershed.The results show that in the past 45 years,the entropy change of WGE of this watershed has generally shown the characteristics of entropy decrease and local entropy increase.The watershed is dominated by erosion in general,but due to the large-scale implementation of various soil and water conservation projects,especially the Project of Returning Farmland to Forests and Grasslands(RFFG),the landform erosion intensity has been greatly reduced and local increase in the entropy change of WGE has appeared.These projects have achieved good ecological effects after 11 years of implementation.展开更多
Frequent glacier-related watershed geohazard chains are causing severe damage to life and infrastructure,reported consistently from the Eastern Himalayan Syntaxis.This paper presents a systematic method for researchin...Frequent glacier-related watershed geohazard chains are causing severe damage to life and infrastructure,reported consistently from the Eastern Himalayan Syntaxis.This paper presents a systematic method for researching geohazard,from regional to individual scale.The methodology includes the establishment of geological chain inventories,discrimination of geohazard chain modes,analyses of dynamics and dam breaches,and risk assessments.The following results were obtained:(1)In the downstream of Yarlung Zangbo River,175 sites were identified as high-risk for river blockage disasters,indicating the development of watershed geohazards.Five geohazard chain modes were summarized by incorporating geomorphological characteristics,historical events,landslide zoning,and materials.The risk areas of typical hazard were identified and assessed using InSAR data.(2)Glacier-related watershed geohazard chains are significantly different from traditional landslides.A detailed inversion analysis was conducted on the massive rock-ice avalanche in the Sedongpu gully in 2021.This particular event lasted roughly 300 seconds,with a maximum flow velocity of 77.2 m/s and a maximum flow height of 93 meters.By scrutinizing the dynamic processes and mechanical characteristics,mobility stages and phase transitions can be divided into four stages.(3)Watershed geohazard chains tend to block rivers.The peak breach discharge of the Yigong Landslide reached 12.4×104 m3/s,which is 36 times the volume of the seasonal flood discharge in the Yigong River.Megafloods caused by landslide dam breaches have significantly shaped the geomorphology.This study offers insights into disaster patterns and the multistaged movement characteristics of glacier-related watershed geohazard chains,providing a comprehensive method for investigations and assessments in glacial regions.展开更多
Land use and precipitation are two major factors affecting phosphorus(P)pollution of watershed runoff.However,molecular characterization of dissolved organic phosphorus(DOP)in runoff under the joint influences of land...Land use and precipitation are two major factors affecting phosphorus(P)pollution of watershed runoff.However,molecular characterization of dissolved organic phosphorus(DOP)in runoff under the joint influences of land use and precipitation remains limited.This study used Fourier transform ion cyclotron resonance mass spectrometry(FT-ICR-MS)to study the molecular characteristics of DOP in a typical P-polluted watershed with spatially variable land use and precipitation.The results showed that low precipitation and intense human activity,including phosphate mining and associated industries,resulted in the accumulation of aliphatic DOP compounds in the upper reaches,characterized by low aromaticity and low biological stability.Higher precipitation and widespread agriculture in the middle and lower reaches resulted in highly unsaturated DOP compounds with high biological stability constituting a higher proportion,compared to in the upper reaches.While,under similar precipitation,more aliphatic DOP compounds characterized by lower aromaticity and higher saturation were enriched in the lower reaches due to more influence from urban runoff relative to the middle reaches.Photochemical and/or microbial processes did result in changes in the characteristics of DOP compounds during runoff processes due to the prevalence of low molecular weight and low O/C bioavailable aliphatic DOP molecules in the upper reaches,which were increasingly transformed into refractory compounds from the upper tomiddle reaches.The results of this study can increase the understanding of the joint impacts of land use and precipitation on DOP compounds in watershed runoff.展开更多
Under the current global climate change background,the response of soil heavy metals in the Qinghai Tibet Plateau basin to the intensification of climate change is still unclear,leading to the intensification of heavy...Under the current global climate change background,the response of soil heavy metals in the Qinghai Tibet Plateau basin to the intensification of climate change is still unclear,leading to the intensification of heavy metal migration in the watershed.We selected cadmium(Cd)in soils of the Taohe River Basin on the Tibetan Plateau as the study object,and established a heavy metal migration simulation model based on the Soil and Water Assessment Tool(SWAT)to estimate the impact of climate change on Cd migration in the basin.The results indicated that the drought indexes and precipitation were the main determinants of the changes in Cd migration in the basin.The multi–scale drought indexes indicated that the optimal time scale for evaluating the effect of drought on Cd migration in the watershed was 3 months.Higher migration rates were apparent in summer and autumn(wet season)than in winter and spring(dry season).Spring precipitation was significantly and positively correlated with the migration of elemental Cd,and the Standardized Precipitation Index(SPI)3 drought index was significantly and positively correlated with Cd migration in summer,autumn,and winter.For every 5%increase in precipitation,Cd migration rates increased by 3.55%,0.46%,0.15%,and 0.12%in spring,summer,autumn,and winter,respectively.For every 5%decrease in precipitation,Cd migration rates decreased by 0.11%,0.12%,0.14%,and 0.13%in spring,summer,autumn,and winter,respectively.The risk of Cd transport in soil continues to increase under future climate change scenarios.展开更多
Pingquan City,the origin of five rivers,serves as the core water conservation zone for the Beijing-Tianjin-Hebei region and exemplifies the characteristics of small watersheds in hilly areas.In recent years,excessive ...Pingquan City,the origin of five rivers,serves as the core water conservation zone for the Beijing-Tianjin-Hebei region and exemplifies the characteristics of small watersheds in hilly areas.In recent years,excessive mining and intensified human activities have severely disrupted the local ecosystem,creating an urgent need for ecological vulnerability assessment to enhance water conservation functions.This study employed the sensitivity-resilience-pressure model,integrating various data sources,including regional background,hydro-meteorological data,field investigations,remote sensing analysis,and socio-economic data.The weights of the model indices were determined using an entropy weighting model that combines principal component analysis and the analytic hierarchy process.Using the ArcGIS platform,the spatial distribution and driving forces of ecological vulnerability in 2020 were analyzed,providing valuable insights for regional ecological restoration.The results indicated that the overall Ecological Vulnerability Index(EVI)was 0.389,signifying moderate ecological vulnerability,with significant variation between watersheds.The Daling River Basin had a high EVI,with ecological vulnerability primarily in levels IV and V,indicating high ecological pressure,whereas the Laoniu River Basin had a low EVI,reflecting minimal ecological pressure.Soil type was identified as the primary driving factor,followed by elevation,temperature,and soil erosion as secondary factors.It is recommended to focus on key regions and critical factors while conducting comprehensive monitoring and assessment to ensure the long-term success of ecological management efforts.展开更多
Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact ...Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact on the change of ecosystem.The primary goal of this study is to determine the impacts of LULC changes on ecosystem service values(ESVs)in the upper Gilgel Abbay watershed,Ethiopia.Changes in LULC types were studied using three Landsat images representing 1986,2003,and 2021.The Landsat images were classified using a supervised image classification technique in Earth Resources Data Analysis System(ERDAS)Imagine 2014.We classified ESs in this study into four categories(including provisioning,regulating,supporting,and cultural services)based on global ES classification scheme.The adjusted ESV coefficient benefit approach was employed to measure the impacts of LULC changes on ESVs.Five LULC types were identified in this study,including cultivated land,forest,shrubland,grassland,and water body.The result revealed that the area of cultivated land accounted for 64.50%,71.50%,and 61.50%of the total area in 1986,2003,and 2021,respectively.The percentage of the total area covered by forest was 9.50%,5.90%,and 14.80%in 1986,2003,and 2021,respectively.Result revealed that the total ESV decreased from 7.42×107 to 6.44×107 USD between 1986 and 2003.This is due to the expansion of cultivated land at the expense of forest and shrubland.However,the total ESV increased from 6.44×107 to 7.76×107 USD during 2003-2021,because of the increment of forest and shrubland.The expansion of cultivated land and the reductions of forest and shrubland reduced most individual ESs during 1986-2003.Nevertheless,the increase in forest and shrubland at the expense of cultivated land enhanced many ESs during 2003-2021.Therefore,the findings suggest that appropriate land use practices should be scaled-up to sustainably maintain ESs.展开更多
Understanding the active tectonic processes in the Nandakini Watershed is imperative for evaluating geological hazards and seismic risks,as well as for informing land-use planning and natural resource management strat...Understanding the active tectonic processes in the Nandakini Watershed is imperative for evaluating geological hazards and seismic risks,as well as for informing land-use planning and natural resource management strategies in the region.Tectonic geomorphology serves as a vital tool for characterizing recent tectonic movements.This research employs GIS techniques to elucidate tectonic activity and its influence on drainage patterns in the Nandakini Watershed,utilizing morphometric parameters derived from SRTM DEM data.Morphometric indices are employed to assess the tectonic movement within drainage basins,capturing both areal and linear factors such as drainage density,texture,circulatory and bifurcation ratios,and stream length ratios.The linear and areal morphometric indices are categorized into three classes representing varying degrees of active tectonic activity.These classifications are then utilized to compute the relative active tectonic index(IRAT).In addition,geomorphic parameters include hypsometric integral,stream length-gradient index,normalized steepness index,chi gradient index,and swath profiles.The majority of the studied region is in an extremely high to moderately active tectonic zone.Large-scale faults and thrusts within the basins are closely correlated with these zones that have been identified.The integrated methodology of GIS-based morphometric analysis and geomorphic study enables the identification of deformed landforms associated with ongoing tectonic activity.Furthermore,these results offer valuable insights for informing watershed management strategies and promoting sustainable land use planning initiatives.展开更多
Water scarcity and environment deterioration have become main constraints to sustainable economic and social development.Scientifically assessing Water Resources Carrying Capacity(WRCC)is essential for the optimal all...Water scarcity and environment deterioration have become main constraints to sustainable economic and social development.Scientifically assessing Water Resources Carrying Capacity(WRCC)is essential for the optimal allocation of regional water resources.The hilly area at the northern foot of Yanshan Mountains is a key water conservation zone and an important water source for Beijing,Tianjin and Hebei.Grasping the current status and temporal trends of water quality and WRCC in representative small watersheds within this region is crucial for supporting rational water resources allocation and environment protection efforts.This study focuses on Pingquan City,a typical watershed in northern Hebei Province.Firstly,evaluation index systems for surface water quality,groundwater quality and WRCC were estab-lished based on the Pressure-State-Response(PSR)framework.Then,comprehensive evaluations of water quality and WRCC at the sub-watershed scale were conducted using the Varying Fuzzy Pattern Recogni-tion(VFPR)model.Finally,the rationality of the evaluation results was verified,and future scenarios were projected.Results showed that:(1)The average comprehensive evaluation scores for surface water and groundwater quality in the sub-watersheds were 1.44 and 1.46,respectively,indicating that both met the national Class II water quality standard and reflected a high-quality water environment.(2)From 2010 to 2020,the region's WRCC steadily improved,with scores rising from 2.99 to 2.83 and an average of 2.90,suggesting effective water resources management in Pingquan City.(3)According to scenario-based predic-tion,WRCC may slightly decline between 2025 and 2030,reaching 2.92 and 2.94,respectively,relative to 2020 levels.Therefore,future efforts should focus on strengthening scientific management and promoting the efficient use of water resources.Proactive measures are necessary to mitigate emerging contradiction and ensure the long-term stability and sustainability of the water resources system in the region.The evalua-tion system and spatiotemporal evolution patterns proposed in this study can provide a scientific basis for refined water resource management and ecological conservation in similar hilly areas.展开更多
Watershed ecological stability has multi-dimensional complexity and multi-perspective ambiguity,which is mainly reflected in the interaction between wetland and non-wetland ecosystems,large-scale spatial heterogeneity...Watershed ecological stability has multi-dimensional complexity and multi-perspective ambiguity,which is mainly reflected in the interaction between wetland and non-wetland ecosystems,large-scale spatial heterogeneity and dynamic coupling of elements.This paper synthesizes 2600 publications in the fields of watershed ecological variability,resistance,and recovery,and selects 189 highly cited studies for systematic review.Based on this,it constructs an analytical framework for watershed ecological stability,revealing the intrinsic relationships among ecological variability,resistance,and recovery.The ecological stability of watersheds is driven by environmental externalities(e.g.,climate change and human activities)that affect ecological functioning through a process of stress-structural-functional variability.Resistance delays ecological degradation through biological adaptation,environmental buffering and connectivity sharing,while recovery relies on elemental reorganization,structural repair and functional synergy to promote system regeneration.Future research needs to break through the quantification of multiscale nonlinear feedback mechanisms,the development of stability prediction models,and the construction of adaptive management paradigms across administrative boundaries.The theoretical framework proposed in this paper provides a scientific basis for the recovery enhancement and sustainable management of global watershed systems.展开更多
This study evaluates pesticide contamination in groundwater downstream of the Kaddoussa Dam(Guir watershed,Morocco)and investigates the influence of agricultural activities on water quality.Nine sampling stations were...This study evaluates pesticide contamination in groundwater downstream of the Kaddoussa Dam(Guir watershed,Morocco)and investigates the influence of agricultural activities on water quality.Nine sampling stations were strategicallyselected during November 2023(post-agricultural season)to analyze spatial patterns of 18 pesticide residues:7 organophosphorusand 11 organochlorines.Identification and quantification were performed via gas chromatography method,targetingboth compound classes.Key findings reveal moderate yet localized contamination.The total concentration of organophosphoruspesticides(ΣPOPs)ranged from 0μg/L(S8)to 0.191μg/L(S4),with peak concentrations at stations S3(0.190μg/L)and S4(0.191μg/L),correlating spatially with intensive agricultural zones.Otherwise,the total concentration oforganochlorine pesticides(ΣPOCs)showed lower levels(0-0.060μg/L),with maxima at S4 linked to endosulfan and HCHisomers.Notably,none of the detected organochlorine concentrations exceeded 0.06μg/L,indicating relatively low levels ofcontamination.Central stations(S2-S6)exhibited co-occurrence of both pesticide groups,dominated by organophosphoruspesticides(0.135-0.191μg/L),while peripheral sites(S1,S7,S8,S9)displayed negligible or undetectable residues.Despitesub-regulatory thresholds,the persistent detection of pesticides underscores ecological and public health risks,particularlyin arid regions with heightened vulnerability due to limited healthcare access and water scarcity.Even at low concentrations,organophosphorus and organochlorine pesticides pose significant threats to aquatic ecosystems through bioaccumulation,while also presenting acute health risks to farmworkers and local communities dependent on contaminated groundwater.This study highlights the urgent need for integrated pesticide management strategies to mitigate long-term environmentaland socio-economic impacts in agriculturally intensive,water-stressed regions.展开更多
Soil erosion in the Hare watershed led to significant land degradation,water pollution,and reduced agricultural productivity.Despite its effects,very few researchers have used combined morphometric and RUSLE model tec...Soil erosion in the Hare watershed led to significant land degradation,water pollution,and reduced agricultural productivity.Despite its effects,very few researchers have used combined morphometric and RUSLE model techniques to quantify soil erosion and thereby prioritize impacted areas.This work used an automated GIS-based tool(SWPT)to prioritize crucial areas based on topohydrological and morphometric factors and predict soil loss in sub-watersheds using the RUSLE model.Land use/cover data were obtained from Landsat imagery,while slope and morphometric information were extracted from digital elevation data with a resolution of 12.5 m.Soil erodibility was determined using Ethiopian soil maps,and rainfall erosivity was computed using meteorological data.An average annual soil loss of 49 t ha-1 yr-1 was observed in the Hare watershed.Sub-watershed 11 was found to be the most affected,with an average annual soil loss of 85.12 t ha-1 yr-1and a compound parameter value(CPV)of 0.059.Subwatershed 17 has the least amount of soil loss,with 3.67t ha-1 yr-1 and a CPV of 1.32.The study emphasizes the usefulness of integrating RUSLE and morphometric analysis for soil and water conservation planning,suggesting a variety of modeling tools in data-sparse locations to quantify and prioritize erosion-prone areas.展开更多
Accurate measurement of bean particle size is essential for automated grading and quality control in agricultural processing.However,existing image segmentation methods often suffer from low efficiency,over-segmentati...Accurate measurement of bean particle size is essential for automated grading and quality control in agricultural processing.However,existing image segmentation methods often suffer from low efficiency,over-segmentation,and high computational cost.We proposed a distancegradient dual constrained watershed algorithm for precise segmentation and measurement of bean particles.The method integrated distance transform-based seed extraction with gradient-constrained flooding,effectively suppressing noise-induced region fragmentation and improving the separation of adherent particles.An experimental platform was constructed using an industrial camera and an image-processing pipeline to evaluate performance.Compared with the conventional watershed algorithm,the proposed method improves segmentation accuracy by 7.2%and reduces the mean particle size error by 27.8%(0.13 mm,representing a relative error of 2.4%).Validation on three soybean varieties confirmed the robustness and generalizability of the approach.The results indicated that the proposed algorithm provided an efficient and accurate technique for agricultural particle size analysis,offering potential for integration into practical low-cost inspection systems.展开更多
Awareness of the impact of climate change,urbanization,population growth,and anthropogenic pressure on surface waters has led to the need for specialized studies on groundwater potential.Groundwater is an important so...Awareness of the impact of climate change,urbanization,population growth,and anthropogenic pressure on surface waters has led to the need for specialized studies on groundwater potential.Groundwater is an important source of freshwater,particularly in regions where surface water is scarce.With climate change,the need to rely on these waters to cope with water shortages and rising demand is becoming increasingly apparent.Remote sensing,the Analytic Hierarchy Process(AHP),and the Geographic Information System(GIS)are advanced spatial tools used in this study to assess groundwater potential in the Oued Lakhdar watershed,which covers an area of 1638 km2.Seven explanatory factors were selected:rainfall,lithology,soil type,slope,land use,drainage density,and lineament density.The map obtained was validated based on the receiver operating characteristic(ROC)curve and area under the curve(AUC),giving an efficiency of 70.20%.Five classes were defined for the groundwater potential map in this basin:12.28% of the basin area was classified as very favorable,25.68% as favorable,17.71% as average,26.23% as low,and 18.09% as very low.The Regional Directorate of Agriculture in Azilal and the Oum El Rabia Water Basin Agency in Beni Mellal should use these findings to inform decision-making in land use planning and groundwater management in the Oued Lakhdar watershed.展开更多
The grid drop concept is introduced and used to develop a micromechanism-based methodology for calculating watershed flow concentration. The flow path and distance traveled by a grid drop to the outlet of the watershe...The grid drop concept is introduced and used to develop a micromechanism-based methodology for calculating watershed flow concentration. The flow path and distance traveled by a grid drop to the outlet of the watershed are obtained using a digital elevation model (DEM). Regarding the slope as an uneven carpet through which the grid drop passes, a formula for overland flow velocity differing from Manning's formula for stream flow as welt as Darcy's formula for pore flow is proposed. Compared with the commonly used unit hydrograph and isochronal methods, this new methodology has outstanding advantages in that it considers the influences of the slope velocity field and the heterogeneity of spatial distribution of rainfall on the flow concentration process, and includes only one parameter that needs to be calibrated. This method can also be effectively applied to the prediction of hydrologic processes in un-gauged basins.展开更多
This study employed the Contingent Valuation Method to assess the willingness to pay of water users, as a source of financing for the sustainable development of Barobbob Watershed. The WTP study was conducted among 34...This study employed the Contingent Valuation Method to assess the willingness to pay of water users, as a source of financing for the sustainable development of Barobbob Watershed. The WTP study was conducted among 345 waters users in 19 barangays in the municipalities of Solano and Bayombong. Uncensored data revealed that 63.8% (58.84% for the adjusted) of the respondents revealed willingness to pay for improved watershed management. The mean WTP amount, estimated through a logit model, Turnbull Distributor-Free Estimator and Lower Bound Estimate, is found to be PhP39.35, PhP27.80 and PhP25.90/month/household, respectively. Respondents WTP is influenced by bid amount, age, membership in environmental organization, experience with water-related problems, civil status, house ownership, and awareness on the concept of watershed. Respondents were willing to pay because they wanted a sustainable water supply for the present and future generations. A payment scheme is possible and it could provide a sustainable flow of fund, however, the willingness percentages still needed to be increased. Community education and public awareness (CEPA) campaign is necessary to enhance the water users’ knowledge and understand about the importance and values of watersheds. Ultimately, WTP percentage and WTP amounts would increase.展开更多
Developing regional models using physiographic, climatic, and hydrologic variables is an approach to estimating suspended load yield(SLY)in ungauged watersheds. However, using all the variables might reduce the applic...Developing regional models using physiographic, climatic, and hydrologic variables is an approach to estimating suspended load yield(SLY)in ungauged watersheds. However, using all the variables might reduce the applicability of these models. Therefore, data reduction techniques(DRTs), e.g., principal component analysis(PCA), Gamma test(GT), and stepwise regression(SR), have been used to select the most effective variables. The artificial neural network(ANN) and multiple linear regression(MLR) are also common tools for SLY modeling. We conducted this study(1) to obtain the most effective variables influencing SLY through DRTs including PCA, GT, and SR, and then, to use them as input data for ANN and MLR; and(2) to provide the best SLY models. Accordingly, we used 14 physiographic, climatic, and hydrologic parameters from 42 watersheds in the Hyrcanian forest region(in northern Iran). The most effective variables as determined through DRTs as well as the original data sets were used as the input data for ANN and MLR in order to provide an SLY model. The results indicated that the SLY models provided by ANN performed much better than the MLR models, and the GT-ANN model was the best. The determination of coefficient,relative error, root mean square error, and bias were 99.9%, 26%, 323 t/year, and 6 t/year in the calibration period, and 70%, 43%, 456 t/year, and 407 t/year in the validation period, respectively. Overall, selecting the main factors that influence SLY and using artificial intelligence tools can be useful for water resources managers to quickly determine the behavior of SLY in ungauged watersheds.展开更多
Mountains in western China, hosted rich biodiversity and millions of people and inhabitant with vital ecosystem services, had experienced the most serious biodiversity loss with fragile ecological problems. Even thoug...Mountains in western China, hosted rich biodiversity and millions of people and inhabitant with vital ecosystem services, had experienced the most serious biodiversity loss with fragile ecological problems. Even though increasing attentions had been paid to this issue, we still lacked efficient methods to assess the change of plant biodiversity at medium/large scale due to the poor data and co-existing multiple habitat types. This study proposed an integrated method combining InVEST-habitat quality model, NPP and landscape pattern indexes to analyze the spatial heterogeneity of plant biodiversity and its spatiotemporal change on raster cell scale. The results indicated that plant biodiversity service was high in Bailongjiang watershed with obvious spatial pattern variations. The land area containing higher plant biodiversity were 3161 km2, which mainly distributed in the National Nature Reserve and forestry area. While the areas with lower plant biodiversity accounted for 37.67% and mainly distributed in the valleys between Zhouqu-Wudu-Wenxian County, the valley of Minjiang in Tanchang County and alpine mountain snow-covered regions. During 1990–2010, plant biodiversity level tended to increase and the higher plant biodiversity area increased from 14.13% to 17.15% due to ecological restoration and afforestation, while plant biodiversity decreased in the area with intensive human activities, such as cultivated land, urban and rural land. The results showed that combining InVEST-habitat quality model, NPP and landscape pattern indexes can effective reveal mountain plant biodiversity change. The study was useful for plant biodiversity conservation policy-making and human activity management for the disaster-impacted mountainous areas in China.展开更多
基金supported by Natural Science Research Project of Anhui Educational Committee(2023AH030041)National Natural Science Foundation of China(Grant Nos.42422704,42277136 and 52379109)+2 种基金Anhui Province Young and Middleaged Teacher Training Action Project(DTR2023018)Natural Science Foundation of Sichuan Province(2024NSFSC0832)China Railway Major Project(2023-Special-05).
摘要Global climate change has intensified the frequency and severity of extreme rainfall events,thereby exacerbating flood disasters.To mitigate such risks,timely and accurate rainfall measurements are essential,yet cost-effectiveness must also be considered.However,many river basins—particularly mountainous small watersheds—suffer from poorly designed rain gauge networks,limiting real-time data acquisition.Existing optimization methods are largely developed for large river basins or plains and are not directly applicable to mountainous small watersheds,where rainfall exhibits strong spatial heterogeneity and gauge networks are sparse.To address this gap,this study takes the Fuhuxi Watershed of Mount Emei in Sichuan Province,Southwest China,as a case study and develops a collaborative optimization framework integrating information entropy,the Maximum Information Minimum Redundancy(MIMR)criterion,and Long Short-Term Memory(LSTM)networks.Specifically,we quantified the information entropy matrix of seven existing rain gauge stations and applied the MIMR criterion,resulting in the retention of five key stations.The optimized network preserves 99%of the effective rainfall information from the original seven stations while significantly reducing operational and maintenance costs.Using data from nine rainfall-induced flood events between 2018 and 2023,we developed an LSTM-based runoff simulation model.The optimized network,which removes stations with low information content and high redundancy,achieved excellent flood simulation accuracy.The study demonstrates that:(1)information entropy theory effectively interprets the spatial correlation and information redundancy of rain gauge stations in mountainous small watersheds;and(2)the LSTM model validates the feasibility of using an optimized rain gauge network to support highprecision flood simulations.Finally,we propose suggestions for future research,particularly regarding the optimization of rain gauge networks to improve the understanding of optimal network design and thereby enhance the accuracy of rainfall-runoff simulations.
摘要Flooding is a prevalent natural hazard that poses significant challenges for accurate prediction and risk assessment.Effective spatial prediction is essential for developing strategies to mitigate the impacts of floods.This study aimed to map flood susceptibility in the Ourika watershed using three machine learning algorithms:eXtreme Gradient Boosting(XGBoost),Random Forest(RF),and K-Nearest Neighbors(KNN).The analysis used 557 binary data points(1=flood zone,0=non-flood zone)to generate a flood inventory map.Fifteen potential flood-influencing factors were considered,and the most relevant and independent variables were selected through a multi-collinearity analysis.The final flood susceptibility maps revealed that 90%of the area was classified as non-flood susceptible,while the remaining 10%was identified as highly prone to flooding.The performance of the machine learning models was evaluated using training and validation tests,with the models demonstrating satisfactory results.The average area under the curve(AUC)for the receiver operating characteristic(ROC)curve was 0.89,indicating good predictive accuracy across all three algorithms.This study provides an effective approach for flood susceptibility mapping in the Ourika watershed and highlights the potential of machine learning techniques for improving flood risk management.The results can support more informed decision-making for flood mitigation strategies,helping to reduce the impact of future flood events.The developed flood susceptibility maps offer valuable insights for local authorities and stakeholders involved in flood risk management and disaster preparedness.
摘要Soil erosion is a significant driver of land degradation in semi-arid environments.This study applied the Revised Universal Soil Loss Equation(RUSLE)integrated with GIS and remote sensing to estimate annual soil loss in the Duhok watershed of northern Iraq.At 12.5 m resolution,the watershed was categorized into five erosion hazard levels based on rainfall,soil,slope,land cover,and conservation practices.The results show that 44.4%of the area faces very high erosion hazard,while 3.5%faces extremely high hazard.Overlaying land use and land cover data with erosion zones revealed that agricultural,built-up,and barren lands are disproportionately exposed to high to extremely high soil loss.These findings highlight the influence of human activities such as farming,urban expansion,and damming on erosion dynamics.The study identifies priority sites for soil conservation and provides a decision-support framework for sustainable watershed management.
基金funded by the National Natural Science Foundation of China(Grant No.42271417)the financial support from the National Natural Science Foundation of China。
摘要The geomorphic evolution of the Xindiangou small watershed on the Loess Plateau in China is influenced by many factors,resulting in very complex evolutionary characteristics of erosion,morphology,and development.Since 1952,a number of soil and water conservation projects have been implemented in the watershed,especially the largescale project of returning farmland to forest and grass since 1999,which has significant impact on the erosion characteristics of the loess.This paper takes a unique perspective of the watershed geomorphic system and its watershed geomorphic entropy(WGE)and clarifies the geomorphic erosion characteristics of the Xindiangou small watershed.The results show that in the past 45 years,the entropy change of WGE of this watershed has generally shown the characteristics of entropy decrease and local entropy increase.The watershed is dominated by erosion in general,but due to the large-scale implementation of various soil and water conservation projects,especially the Project of Returning Farmland to Forests and Grasslands(RFFG),the landform erosion intensity has been greatly reduced and local increase in the entropy change of WGE has appeared.These projects have achieved good ecological effects after 11 years of implementation.
基金supported by the National Natural Science Foundation of China(Nos.U2244227,U2244226,42177172)the National Key R&D Program of China(No.2022YFC3004301)China Geological Survey Project(No.DD20230538)。
摘要Frequent glacier-related watershed geohazard chains are causing severe damage to life and infrastructure,reported consistently from the Eastern Himalayan Syntaxis.This paper presents a systematic method for researching geohazard,from regional to individual scale.The methodology includes the establishment of geological chain inventories,discrimination of geohazard chain modes,analyses of dynamics and dam breaches,and risk assessments.The following results were obtained:(1)In the downstream of Yarlung Zangbo River,175 sites were identified as high-risk for river blockage disasters,indicating the development of watershed geohazards.Five geohazard chain modes were summarized by incorporating geomorphological characteristics,historical events,landslide zoning,and materials.The risk areas of typical hazard were identified and assessed using InSAR data.(2)Glacier-related watershed geohazard chains are significantly different from traditional landslides.A detailed inversion analysis was conducted on the massive rock-ice avalanche in the Sedongpu gully in 2021.This particular event lasted roughly 300 seconds,with a maximum flow velocity of 77.2 m/s and a maximum flow height of 93 meters.By scrutinizing the dynamic processes and mechanical characteristics,mobility stages and phase transitions can be divided into four stages.(3)Watershed geohazard chains tend to block rivers.The peak breach discharge of the Yigong Landslide reached 12.4×104 m3/s,which is 36 times the volume of the seasonal flood discharge in the Yigong River.Megafloods caused by landslide dam breaches have significantly shaped the geomorphology.This study offers insights into disaster patterns and the multistaged movement characteristics of glacier-related watershed geohazard chains,providing a comprehensive method for investigations and assessments in glacial regions.
基金supported by the Three Gorges Corporation (No.HBHB2023018)the Project of Hubei Provincial Key Research and Development (No.2022BCA074)the National Key Research and Development Program of China (No.2022YFC3705002).
摘要Land use and precipitation are two major factors affecting phosphorus(P)pollution of watershed runoff.However,molecular characterization of dissolved organic phosphorus(DOP)in runoff under the joint influences of land use and precipitation remains limited.This study used Fourier transform ion cyclotron resonance mass spectrometry(FT-ICR-MS)to study the molecular characteristics of DOP in a typical P-polluted watershed with spatially variable land use and precipitation.The results showed that low precipitation and intense human activity,including phosphate mining and associated industries,resulted in the accumulation of aliphatic DOP compounds in the upper reaches,characterized by low aromaticity and low biological stability.Higher precipitation and widespread agriculture in the middle and lower reaches resulted in highly unsaturated DOP compounds with high biological stability constituting a higher proportion,compared to in the upper reaches.While,under similar precipitation,more aliphatic DOP compounds characterized by lower aromaticity and higher saturation were enriched in the lower reaches due to more influence from urban runoff relative to the middle reaches.Photochemical and/or microbial processes did result in changes in the characteristics of DOP compounds during runoff processes due to the prevalence of low molecular weight and low O/C bioavailable aliphatic DOP molecules in the upper reaches,which were increasingly transformed into refractory compounds from the upper tomiddle reaches.The results of this study can increase the understanding of the joint impacts of land use and precipitation on DOP compounds in watershed runoff.
基金supported by Gansu Provincial Youth Science and Technology Fund Program(No.21JR7RA701)the Second Tibetan Plateau Scientific Expedition and Research Program(STEP)(No.2019QZKK0605).
摘要Under the current global climate change background,the response of soil heavy metals in the Qinghai Tibet Plateau basin to the intensification of climate change is still unclear,leading to the intensification of heavy metal migration in the watershed.We selected cadmium(Cd)in soils of the Taohe River Basin on the Tibetan Plateau as the study object,and established a heavy metal migration simulation model based on the Soil and Water Assessment Tool(SWAT)to estimate the impact of climate change on Cd migration in the basin.The results indicated that the drought indexes and precipitation were the main determinants of the changes in Cd migration in the basin.The multi–scale drought indexes indicated that the optimal time scale for evaluating the effect of drought on Cd migration in the watershed was 3 months.Higher migration rates were apparent in summer and autumn(wet season)than in winter and spring(dry season).Spring precipitation was significantly and positively correlated with the migration of elemental Cd,and the Standardized Precipitation Index(SPI)3 drought index was significantly and positively correlated with Cd migration in summer,autumn,and winter.For every 5%increase in precipitation,Cd migration rates increased by 3.55%,0.46%,0.15%,and 0.12%in spring,summer,autumn,and winter,respectively.For every 5%decrease in precipitation,Cd migration rates decreased by 0.11%,0.12%,0.14%,and 0.13%in spring,summer,autumn,and winter,respectively.The risk of Cd transport in soil continues to increase under future climate change scenarios.
基金supported by the project of China Geological Survey(No.DD20220954)Open Funding Project of the Key Laboratory of Groundwater Sciences and Engineering,Ministry of Natural Resources(No.SK202301-4)+1 种基金Open Foundation of the Key Laboratory of Coupling Process and Effect of Natural Resources Elements(No.2022KFKTC009)Yanzhao Shanshui Science and Innovation Fund of Langfang Integrated Natural Resources Survey Center,China Geological Survey(No.YZSSJJ202401-001).
摘要Pingquan City,the origin of five rivers,serves as the core water conservation zone for the Beijing-Tianjin-Hebei region and exemplifies the characteristics of small watersheds in hilly areas.In recent years,excessive mining and intensified human activities have severely disrupted the local ecosystem,creating an urgent need for ecological vulnerability assessment to enhance water conservation functions.This study employed the sensitivity-resilience-pressure model,integrating various data sources,including regional background,hydro-meteorological data,field investigations,remote sensing analysis,and socio-economic data.The weights of the model indices were determined using an entropy weighting model that combines principal component analysis and the analytic hierarchy process.Using the ArcGIS platform,the spatial distribution and driving forces of ecological vulnerability in 2020 were analyzed,providing valuable insights for regional ecological restoration.The results indicated that the overall Ecological Vulnerability Index(EVI)was 0.389,signifying moderate ecological vulnerability,with significant variation between watersheds.The Daling River Basin had a high EVI,with ecological vulnerability primarily in levels IV and V,indicating high ecological pressure,whereas the Laoniu River Basin had a low EVI,reflecting minimal ecological pressure.Soil type was identified as the primary driving factor,followed by elevation,temperature,and soil erosion as secondary factors.It is recommended to focus on key regions and critical factors while conducting comprehensive monitoring and assessment to ensure the long-term success of ecological management efforts.
摘要Human well-being and livelihoods depend on natural ecosystem services(ESs).Following the increment of population,ESs have been deteriorated over time.Ultimately,land use/land cover(LULC)changes have a profound impact on the change of ecosystem.The primary goal of this study is to determine the impacts of LULC changes on ecosystem service values(ESVs)in the upper Gilgel Abbay watershed,Ethiopia.Changes in LULC types were studied using three Landsat images representing 1986,2003,and 2021.The Landsat images were classified using a supervised image classification technique in Earth Resources Data Analysis System(ERDAS)Imagine 2014.We classified ESs in this study into four categories(including provisioning,regulating,supporting,and cultural services)based on global ES classification scheme.The adjusted ESV coefficient benefit approach was employed to measure the impacts of LULC changes on ESVs.Five LULC types were identified in this study,including cultivated land,forest,shrubland,grassland,and water body.The result revealed that the area of cultivated land accounted for 64.50%,71.50%,and 61.50%of the total area in 1986,2003,and 2021,respectively.The percentage of the total area covered by forest was 9.50%,5.90%,and 14.80%in 1986,2003,and 2021,respectively.Result revealed that the total ESV decreased from 7.42×107 to 6.44×107 USD between 1986 and 2003.This is due to the expansion of cultivated land at the expense of forest and shrubland.However,the total ESV increased from 6.44×107 to 7.76×107 USD during 2003-2021,because of the increment of forest and shrubland.The expansion of cultivated land and the reductions of forest and shrubland reduced most individual ESs during 1986-2003.Nevertheless,the increase in forest and shrubland at the expense of cultivated land enhanced many ESs during 2003-2021.Therefore,the findings suggest that appropriate land use practices should be scaled-up to sustainably maintain ESs.
摘要Understanding the active tectonic processes in the Nandakini Watershed is imperative for evaluating geological hazards and seismic risks,as well as for informing land-use planning and natural resource management strategies in the region.Tectonic geomorphology serves as a vital tool for characterizing recent tectonic movements.This research employs GIS techniques to elucidate tectonic activity and its influence on drainage patterns in the Nandakini Watershed,utilizing morphometric parameters derived from SRTM DEM data.Morphometric indices are employed to assess the tectonic movement within drainage basins,capturing both areal and linear factors such as drainage density,texture,circulatory and bifurcation ratios,and stream length ratios.The linear and areal morphometric indices are categorized into three classes representing varying degrees of active tectonic activity.These classifications are then utilized to compute the relative active tectonic index(IRAT).In addition,geomorphic parameters include hypsometric integral,stream length-gradient index,normalized steepness index,chi gradient index,and swath profiles.The majority of the studied region is in an extremely high to moderately active tectonic zone.Large-scale faults and thrusts within the basins are closely correlated with these zones that have been identified.The integrated methodology of GIS-based morphometric analysis and geomorphic study enables the identification of deformed landforms associated with ongoing tectonic activity.Furthermore,these results offer valuable insights for informing watershed management strategies and promoting sustainable land use planning initiatives.
基金financially supported by China Geological Survey Project(No.DD20220954)Open Funding Project of the Key Laboratory of Groundwater Sciences and Engineering,Ministry of Natural Resources(No.SK202301-4)+2 种基金Science and Technology Innovation Foundation of Comprehensive Survey&Command Center for Natural Resources(No.KC20240003)Yanzhao Shanshui Science and Innovation Fund of Langfang Integrated Natural Resources Survey Center,China Geological Survey(No.YZSSJJ202401-001)Open Foundation of the Key Laboratory of Coupling Process and Effect of Natural Resources Elements(No.2022KFKTC009).
摘要Water scarcity and environment deterioration have become main constraints to sustainable economic and social development.Scientifically assessing Water Resources Carrying Capacity(WRCC)is essential for the optimal allocation of regional water resources.The hilly area at the northern foot of Yanshan Mountains is a key water conservation zone and an important water source for Beijing,Tianjin and Hebei.Grasping the current status and temporal trends of water quality and WRCC in representative small watersheds within this region is crucial for supporting rational water resources allocation and environment protection efforts.This study focuses on Pingquan City,a typical watershed in northern Hebei Province.Firstly,evaluation index systems for surface water quality,groundwater quality and WRCC were estab-lished based on the Pressure-State-Response(PSR)framework.Then,comprehensive evaluations of water quality and WRCC at the sub-watershed scale were conducted using the Varying Fuzzy Pattern Recogni-tion(VFPR)model.Finally,the rationality of the evaluation results was verified,and future scenarios were projected.Results showed that:(1)The average comprehensive evaluation scores for surface water and groundwater quality in the sub-watersheds were 1.44 and 1.46,respectively,indicating that both met the national Class II water quality standard and reflected a high-quality water environment.(2)From 2010 to 2020,the region's WRCC steadily improved,with scores rising from 2.99 to 2.83 and an average of 2.90,suggesting effective water resources management in Pingquan City.(3)According to scenario-based predic-tion,WRCC may slightly decline between 2025 and 2030,reaching 2.92 and 2.94,respectively,relative to 2020 levels.Therefore,future efforts should focus on strengthening scientific management and promoting the efficient use of water resources.Proactive measures are necessary to mitigate emerging contradiction and ensure the long-term stability and sustainability of the water resources system in the region.The evalua-tion system and spatiotemporal evolution patterns proposed in this study can provide a scientific basis for refined water resource management and ecological conservation in similar hilly areas.
基金funded by Key Technologies Research and Development Program,grant number 2022YFF1303203.
摘要Watershed ecological stability has multi-dimensional complexity and multi-perspective ambiguity,which is mainly reflected in the interaction between wetland and non-wetland ecosystems,large-scale spatial heterogeneity and dynamic coupling of elements.This paper synthesizes 2600 publications in the fields of watershed ecological variability,resistance,and recovery,and selects 189 highly cited studies for systematic review.Based on this,it constructs an analytical framework for watershed ecological stability,revealing the intrinsic relationships among ecological variability,resistance,and recovery.The ecological stability of watersheds is driven by environmental externalities(e.g.,climate change and human activities)that affect ecological functioning through a process of stress-structural-functional variability.Resistance delays ecological degradation through biological adaptation,environmental buffering and connectivity sharing,while recovery relies on elemental reorganization,structural repair and functional synergy to promote system regeneration.Future research needs to break through the quantification of multiscale nonlinear feedback mechanisms,the development of stability prediction models,and the construction of adaptive management paradigms across administrative boundaries.The theoretical framework proposed in this paper provides a scientific basis for the recovery enhancement and sustainable management of global watershed systems.
摘要This study evaluates pesticide contamination in groundwater downstream of the Kaddoussa Dam(Guir watershed,Morocco)and investigates the influence of agricultural activities on water quality.Nine sampling stations were strategicallyselected during November 2023(post-agricultural season)to analyze spatial patterns of 18 pesticide residues:7 organophosphorusand 11 organochlorines.Identification and quantification were performed via gas chromatography method,targetingboth compound classes.Key findings reveal moderate yet localized contamination.The total concentration of organophosphoruspesticides(ΣPOPs)ranged from 0μg/L(S8)to 0.191μg/L(S4),with peak concentrations at stations S3(0.190μg/L)and S4(0.191μg/L),correlating spatially with intensive agricultural zones.Otherwise,the total concentration oforganochlorine pesticides(ΣPOCs)showed lower levels(0-0.060μg/L),with maxima at S4 linked to endosulfan and HCHisomers.Notably,none of the detected organochlorine concentrations exceeded 0.06μg/L,indicating relatively low levels ofcontamination.Central stations(S2-S6)exhibited co-occurrence of both pesticide groups,dominated by organophosphoruspesticides(0.135-0.191μg/L),while peripheral sites(S1,S7,S8,S9)displayed negligible or undetectable residues.Despitesub-regulatory thresholds,the persistent detection of pesticides underscores ecological and public health risks,particularlyin arid regions with heightened vulnerability due to limited healthcare access and water scarcity.Even at low concentrations,organophosphorus and organochlorine pesticides pose significant threats to aquatic ecosystems through bioaccumulation,while also presenting acute health risks to farmworkers and local communities dependent on contaminated groundwater.This study highlights the urgent need for integrated pesticide management strategies to mitigate long-term environmentaland socio-economic impacts in agriculturally intensive,water-stressed regions.
摘要Soil erosion in the Hare watershed led to significant land degradation,water pollution,and reduced agricultural productivity.Despite its effects,very few researchers have used combined morphometric and RUSLE model techniques to quantify soil erosion and thereby prioritize impacted areas.This work used an automated GIS-based tool(SWPT)to prioritize crucial areas based on topohydrological and morphometric factors and predict soil loss in sub-watersheds using the RUSLE model.Land use/cover data were obtained from Landsat imagery,while slope and morphometric information were extracted from digital elevation data with a resolution of 12.5 m.Soil erodibility was determined using Ethiopian soil maps,and rainfall erosivity was computed using meteorological data.An average annual soil loss of 49 t ha-1 yr-1 was observed in the Hare watershed.Sub-watershed 11 was found to be the most affected,with an average annual soil loss of 85.12 t ha-1 yr-1and a compound parameter value(CPV)of 0.059.Subwatershed 17 has the least amount of soil loss,with 3.67t ha-1 yr-1 and a CPV of 1.32.The study emphasizes the usefulness of integrating RUSLE and morphometric analysis for soil and water conservation planning,suggesting a variety of modeling tools in data-sparse locations to quantify and prioritize erosion-prone areas.
基金supported by National Natural Science Foundation of China(No.62006092)University Synergy Innovation Program of Anhui Province(No.GXXT-2023-108)Excellent Youth Project of Natural Science Research in Anhui Province(No.2023AH030081).
摘要Accurate measurement of bean particle size is essential for automated grading and quality control in agricultural processing.However,existing image segmentation methods often suffer from low efficiency,over-segmentation,and high computational cost.We proposed a distancegradient dual constrained watershed algorithm for precise segmentation and measurement of bean particles.The method integrated distance transform-based seed extraction with gradient-constrained flooding,effectively suppressing noise-induced region fragmentation and improving the separation of adherent particles.An experimental platform was constructed using an industrial camera and an image-processing pipeline to evaluate performance.Compared with the conventional watershed algorithm,the proposed method improves segmentation accuracy by 7.2%and reduces the mean particle size error by 27.8%(0.13 mm,representing a relative error of 2.4%).Validation on three soybean varieties confirmed the robustness and generalizability of the approach.The results indicated that the proposed algorithm provided an efficient and accurate technique for agricultural particle size analysis,offering potential for integration into practical low-cost inspection systems.
摘要Awareness of the impact of climate change,urbanization,population growth,and anthropogenic pressure on surface waters has led to the need for specialized studies on groundwater potential.Groundwater is an important source of freshwater,particularly in regions where surface water is scarce.With climate change,the need to rely on these waters to cope with water shortages and rising demand is becoming increasingly apparent.Remote sensing,the Analytic Hierarchy Process(AHP),and the Geographic Information System(GIS)are advanced spatial tools used in this study to assess groundwater potential in the Oued Lakhdar watershed,which covers an area of 1638 km2.Seven explanatory factors were selected:rainfall,lithology,soil type,slope,land use,drainage density,and lineament density.The map obtained was validated based on the receiver operating characteristic(ROC)curve and area under the curve(AUC),giving an efficiency of 70.20%.Five classes were defined for the groundwater potential map in this basin:12.28% of the basin area was classified as very favorable,25.68% as favorable,17.71% as average,26.23% as low,and 18.09% as very low.The Regional Directorate of Agriculture in Azilal and the Oum El Rabia Water Basin Agency in Beni Mellal should use these findings to inform decision-making in land use planning and groundwater management in the Oued Lakhdar watershed.
基金supported by the National Nature Science Foundation of China(Grant No.50609005)the Fok Ying-Tong Education Foundation for Young Teachers in the Higher Education Institutions of China(Grant No.101075)
摘要The grid drop concept is introduced and used to develop a micromechanism-based methodology for calculating watershed flow concentration. The flow path and distance traveled by a grid drop to the outlet of the watershed are obtained using a digital elevation model (DEM). Regarding the slope as an uneven carpet through which the grid drop passes, a formula for overland flow velocity differing from Manning's formula for stream flow as welt as Darcy's formula for pore flow is proposed. Compared with the commonly used unit hydrograph and isochronal methods, this new methodology has outstanding advantages in that it considers the influences of the slope velocity field and the heterogeneity of spatial distribution of rainfall on the flow concentration process, and includes only one parameter that needs to be calibrated. This method can also be effectively applied to the prediction of hydrologic processes in un-gauged basins.
摘要This study employed the Contingent Valuation Method to assess the willingness to pay of water users, as a source of financing for the sustainable development of Barobbob Watershed. The WTP study was conducted among 345 waters users in 19 barangays in the municipalities of Solano and Bayombong. Uncensored data revealed that 63.8% (58.84% for the adjusted) of the respondents revealed willingness to pay for improved watershed management. The mean WTP amount, estimated through a logit model, Turnbull Distributor-Free Estimator and Lower Bound Estimate, is found to be PhP39.35, PhP27.80 and PhP25.90/month/household, respectively. Respondents WTP is influenced by bid amount, age, membership in environmental organization, experience with water-related problems, civil status, house ownership, and awareness on the concept of watershed. Respondents were willing to pay because they wanted a sustainable water supply for the present and future generations. A payment scheme is possible and it could provide a sustainable flow of fund, however, the willingness percentages still needed to be increased. Community education and public awareness (CEPA) campaign is necessary to enhance the water users’ knowledge and understand about the importance and values of watersheds. Ultimately, WTP percentage and WTP amounts would increase.
基金supported by the Department of Environmental Science,Urmia Lake Research Institute,Urmia University
摘要Developing regional models using physiographic, climatic, and hydrologic variables is an approach to estimating suspended load yield(SLY)in ungauged watersheds. However, using all the variables might reduce the applicability of these models. Therefore, data reduction techniques(DRTs), e.g., principal component analysis(PCA), Gamma test(GT), and stepwise regression(SR), have been used to select the most effective variables. The artificial neural network(ANN) and multiple linear regression(MLR) are also common tools for SLY modeling. We conducted this study(1) to obtain the most effective variables influencing SLY through DRTs including PCA, GT, and SR, and then, to use them as input data for ANN and MLR; and(2) to provide the best SLY models. Accordingly, we used 14 physiographic, climatic, and hydrologic parameters from 42 watersheds in the Hyrcanian forest region(in northern Iran). The most effective variables as determined through DRTs as well as the original data sets were used as the input data for ANN and MLR in order to provide an SLY model. The results indicated that the SLY models provided by ANN performed much better than the MLR models, and the GT-ANN model was the best. The determination of coefficient,relative error, root mean square error, and bias were 99.9%, 26%, 323 t/year, and 6 t/year in the calibration period, and 70%, 43%, 456 t/year, and 407 t/year in the validation period, respectively. Overall, selecting the main factors that influence SLY and using artificial intelligence tools can be useful for water resources managers to quickly determine the behavior of SLY in ungauged watersheds.
基金National Natural Science Foundation of China,No.41771196,No.41761039,No.41271199
摘要Mountains in western China, hosted rich biodiversity and millions of people and inhabitant with vital ecosystem services, had experienced the most serious biodiversity loss with fragile ecological problems. Even though increasing attentions had been paid to this issue, we still lacked efficient methods to assess the change of plant biodiversity at medium/large scale due to the poor data and co-existing multiple habitat types. This study proposed an integrated method combining InVEST-habitat quality model, NPP and landscape pattern indexes to analyze the spatial heterogeneity of plant biodiversity and its spatiotemporal change on raster cell scale. The results indicated that plant biodiversity service was high in Bailongjiang watershed with obvious spatial pattern variations. The land area containing higher plant biodiversity were 3161 km2, which mainly distributed in the National Nature Reserve and forestry area. While the areas with lower plant biodiversity accounted for 37.67% and mainly distributed in the valleys between Zhouqu-Wudu-Wenxian County, the valley of Minjiang in Tanchang County and alpine mountain snow-covered regions. During 1990–2010, plant biodiversity level tended to increase and the higher plant biodiversity area increased from 14.13% to 17.15% due to ecological restoration and afforestation, while plant biodiversity decreased in the area with intensive human activities, such as cultivated land, urban and rural land. The results showed that combining InVEST-habitat quality model, NPP and landscape pattern indexes can effective reveal mountain plant biodiversity change. The study was useful for plant biodiversity conservation policy-making and human activity management for the disaster-impacted mountainous areas in China.