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Multi-scale meteorological and hydrological drought severity in a high-altitude Himalayan basin:An intensity-duration-frequency approach using SPI and SSI(1970-2016) 认领 引用
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作者 Nuaman EJAZ Muhammad RASHID +2 位作者 Muhammad Waqar SALEEM Amro ELFEKI SHANG Songhao 《Journal of Mountain Science》 SCIE CSCD 2026年第6期2570-2589,共20页
In high-altitude basins,snow and glaciers influence precipitation effectiveness by storing winter snowfall and regulate streamflow through delayed meltwater release,leading to distinct seasonal and hydrological drough... In high-altitude basins,snow and glaciers influence precipitation effectiveness by storing winter snowfall and regulate streamflow through delayed meltwater release,leading to distinct seasonal and hydrological drought responses.This study applies an Intensity–Duration–Frequency(IDF)framework to quantify meteorological and hydrological droughts in the Astore Basin,Pakistan using long-term precipitation and streamflow data(1970–2016).The Standardized Precipitation Index(SPI)and Standardized Streamflow Index(SSI)were calculated at 1-,3-,6-,and 12-month time scales to characterize drought severity,duration,and frequency.Frequency analysis was conducted to estimate precipitation and streamflow deficits for return periods ranging from 2 to 100 years and drought durations between 1 and 11 months.Results show that drought severity and duration increase systematically with both time scale and return period.For short-term droughts(SPI-1/SSI-1),deficits are confined to 3 months for a 2-year return period and increase to 5 months for return periods of 5-100 years,with precipitation deficits reaching~66 mm and streamflow deficits~330 m3/sec for extreme events.Medium-term droughts(SPI-3/SSI-3 and SPI-6/SSI-6)exhibit longer durations of 7-9 months for 50-100 year return periods,with cumulative precipitation deficits of~188 mm(SPI-3)and~564 mm(SPI-6),and corresponding streamflow deficits of~1256 m3/sec(SSI-3)and~907 m3/sec(SSI-6).Long-term droughts(SPI-12/SSI-12)represent persistent basin-scale water stress,with durations extending up to 11 months and maximum deficits of~443 mm for precipitation and~1623 m3/sec for streamflow at the 100-year return period.Across all time scales,the highest drought severity occurs during pre-monsoon and winter seasons,reflecting limited precipitation,high agricultural water demand,and delayed hydrological response.These results demonstrate the importance of multi-scale deficit-based IDF analysis for quantifying drought risk in snow-and glacier-fed basins and supporting long-term water resource management. 展开更多
关键词 Drought severity Intensity-duration-frequency curve Precipitation deficits Streamflow deficits Return period
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Modeling Rainfall Intensity-Duration-Frequency (IDF) and Establishing Climate Change Existence in Uyo-Nigeria Using Non-Stationary Approach 认领 引用
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作者 Masi G. Sam Ify L. Nwaogazie +2 位作者 Chiedozie Ikebude Ubong J. Inyang Jonathan O. Irokwe 《Journal of Water Resource and Protection》 CAS 2023年第5期194-214,共21页
This study aims at establishing if climate change exists in the Niger Delta environment using non-stationary rainfall Intensity-Duration-Frequency (IDF) modelling incorporating time-variant parameters. To compute the ... This study aims at establishing if climate change exists in the Niger Delta environment using non-stationary rainfall Intensity-Duration-Frequency (IDF) modelling incorporating time-variant parameters. To compute the intensity levels, the open-access R-studio software was used based on the General Extreme Value (GEV) distribution function. Among the four linear parameter models adopted for integrating time as a covariate, the fourth linear model incorporating scale and location with the shape function constant produced the least corrected Akaike Information Criteria (AICc), varying between 306.191 to 101.497 for 15 and 1440 minutes, respectively, selected for calibration of the GEV distribution equation. The non-stationary intensities yielded higher values above those of stationary models, proving that the assumption of stationary IDF models underestimated extreme events. The difference of 13.71 mm/hr (22.71%) to 14.26 mm/hr (17.0%) intensities implies an underestimation of the peak flood from a stationary IDF curve. The statistical difference at a 95% confidence level between stationary and non-stationary models was significant, confirming evidence of climatic change influenced by time-variant parameters. Consequently, emphasis should be on applying shorter-duration storms for design purposes occurring with higher intensities to help reduce the flood risk and resultant infrastructural failures. 展开更多
关键词 Precipitation Annual Maximum Series Stationary Non-Stationary Intensity-Duration-Frequency Models Trends
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Analysis of Storm Pattern for Design Urban Drainage System in the Monsoon Areas of Vietnam 认领 引用
3
作者 Bui Thi Thu Trang Nguyen Thi Hong Hanh +1 位作者 Nguyen Thi Hoai Thuong Nguyen Van Thuan 《Journal of Environmental Science and Engineering(A)》 CAS 2018年第2期49-68,共20页
In Vietnam,rainfall data usually received using daily rainfall at all hydrology stations with higher time resolution are scarce.However,its analyses to achieve IDF(Intensity-Duration-Frequency)curves are often require... In Vietnam,rainfall data usually received using daily rainfall at all hydrology stations with higher time resolution are scarce.However,its analyses to achieve IDF(Intensity-Duration-Frequency)curves are often required at a finer scale such as hourly.Therefore,it needs to develop and apply methods to derive the IDF characteristics of short-duration events from daily rainfall statistics in Vietnam.In recent years,the need for new insights into the rainfall process leading to new approaches to model the distribution of rainfall intensities in time and space was recognized.This research aims to establish IDF curves for monsoon climate area in Vietnam based on scaling method.Scaling properties of extreme rainfall are examined in the Red River Delta of Vietnam in order to establish scaling behavior of statistical moments over different durations.Such scaling or scale-invariant models enable us to scale data from one temporal resolution to another,and thus,help to overcome the lack of the extreme rainfall data of sub-daily durations.The disaggregation or downscaling techniques are used to obtain sub-daily rainfall data from daily rainfall data for the derivation of scaled IDF curves.Research results show that most of rainfall amount(approximately 70%)received from rains occurring between 6:0 pm to 6:0 am of the day after that,the daytime usually less rainfall occurrence with only 30%.The peak rainfall is usually occurred during 0:0 am to 4:0 am having approximately 42.98%of rainfall amount over a day.The peak rainfall likely happen earlier in the recent year(36%rainfall amount over a day occurrence from 6:00 pm to 10:00 pm in 2008).The analysis also illustrated that approximately 40%of rainfall events have duration less than 60 minutes.In contrast,only approximately 9%of rainfall events have duration more than 6 hours but total rainfall depths of these events is approximately. 展开更多
关键词 IDF(Intensity-Duration-Frequency)curves design rainfall for urban design rainfall in the Monsoon areas
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