Drought analysis in the Tons River Basin, India during 1969-2008

Abstract. In this study, a framework to project the potential future climate change impacts on extreme hydrological drought events in the Weihe River basin in North China is presented. This framework includes a large-scale hydrological model driven by climate outputs from a regional climate model for historical streamflow simulations and future streamflow projections, and models for univariate drought assessment and copula-based bivariate drought analysis. It is projected by the univariate drought analysis that future climate change would lead to increased frequencies of extreme hydrological drought events with higher severity. The bivariate drought assessment using copula shows that future droughts in the same return periods as historical droughts would be potentially longer and more severe, in terms of drought duration and severity. This trend would deteriorate the hydrological drought situation in the Weihe River basin. In addition, the uncertainties associated with climate models, hydrological models, and univariate and bivariate drought analysis should be quantified in the future research to improve the reliability of this study.

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Drought analysis using multi-scale standardized precipitation index in the Han River Basin, China

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.a1000450 ◽

2011 ◽

Vol 12 (6) ◽

pp. 483-494 ◽

Cited By ~ 7

Author(s):

Yue-ping Xu ◽

Sheng-ji Lin ◽

Yan Huang ◽

Qin-qing Zhang ◽

Qi-hua Ran

Keyword(s):

River Basin ◽

Standardized Precipitation Index ◽

Precipitation Index ◽

Drought Analysis ◽

Multi Scale ◽

Han River ◽

Han River Basin

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Investigating the effects of precipitation on drought in the Hanjiang River Basin using SPI

Journal of Water and Climate Change ◽

10.2166/wcc.2018.102 ◽

2018 ◽

Vol 10 (4) ◽

pp. 977-992 ◽

Cited By ~ 2

Author(s):

Hai Liu ◽

Jing Wu ◽

Yanqing Xu

Keyword(s):

River Basin ◽

Water Source ◽

Upstream Region ◽

Cumulative Probability ◽

Spatial Difference ◽

Water Delivery ◽

Drought Analysis ◽

North Water ◽

Hanjiang River ◽

Autumn And Winter

Abstract The Hanjiang River Basin serves as the water source for the Middle Route South-to-North Water Delivery Project. Droughts are not uncommon in this region and have affected the water supply directly. This study is designed to gain more in-depth knowledge of spatial and temporal drought variations in the Hanjiang River Basin, and the synchronization of drought variations in upstream and downstream regions of the Danjiangkou Dam. Compared with drought analysis in the upstream or the downstream, respectively, research shows the spatial difference between the upstream and the downstream clearly. The following conclusions can be drawn: Standardized Precipitation Indexes in the Hanjiang River Basin did not significantly decrease; droughts considered moderate or worse occurred most frequently in autumn and winter, but most rarely in summer; the cumulative probability of moderate to severe droughts was highest in October and December. Drought conditions in the upstream region varied in a fluctuating way. The upstream region has become increasingly wet since the turn of the 21st century, while the downstream region has become increasingly dry since the 1990s. The probability of synchronous droughts both upstream and downstream was only 9.8%.

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Drought Analysis of the Haihe River Basin Based on GRACE Terrestrial Water Storage

The Scientific World JOURNAL ◽

10.1155/2014/578372 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10 ◽

Cited By ~ 8

Author(s):

Jianhua Wang ◽

Dong Jiang ◽

Yaohuan Huang ◽

Hao Wang

Keyword(s):

River Basin ◽

Water Storage ◽

Spatiotemporal Variability ◽

Haihe River Basin ◽

Terrestrial Water Storage ◽

Haihe River ◽

Drought Analysis ◽

Terrestrial Water ◽

The Haihe River Basin ◽

Anomaly Index

The Haihe river basin (HRB) in the North China has been experiencing prolonged, severe droughts in recent years that are accompanied by precipitation deficits and vegetation wilting. This paper analyzed the water deficits related to spatiotemporal variability of three variables of the gravity recovery and climate experiment (GRACE) derived terrestrial water storage (TWS) data, precipitation, and EVI in the HRB from January 2003 to January 2013. The corresponding drought indices of TWS anomaly index (TWSI), precipitation anomaly index (PAI), and vegetation anomaly index (AVI) were also compared for drought analysis. Our observations showed that the GRACE-TWS was more suitable for detecting prolonged and severe droughts in the HRB because it can represent loss of deep soil water and ground water. The multiyear droughts, of which the HRB has sustained for more than 5 years, began in mid-2007. Extreme drought events were detected in four periods at the end of 2007, the end of 2009, the end of 2010, and in the middle of 2012. Spatial analysis of drought risk from the end of 2011 to the beginning of 2012 showed that human activities played an important role in the extent of drought hazards in the HRB.

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