Literature DB >> 29107781

Drought evolution, severity and trends in mainland China over 1961-2013.

Ning Yao1, Yi Li2, Tianjie Lei3, Lingling Peng1.   

Abstract

Droughts have destructive impacts on crop yields and water supplies, and researching droughts is vital for societal stability and human life. This work aimed to assess the spatiotemporal evolution of droughts in mainland China over 1961-2013 using four drought indices. These indices were the percentage of precipitation anomaly (Pa), standard precipitation index (SPI), standard precipitation evapotranspiration index (SPEI) and evaporative demand drought index (EDDI) at multiple timescales ranging from 1-week to 24-month. The variations of the SPI, SPEI and EDDI were compared with historical severe or extreme droughts. The general increases of the Pa, SPI and SPEI, and general decrease of the EDDI, consistently implied an overall relief of drought conditions over 1961-2013. The different drought indices revealed historical drought conditions, including the national extreme droughts in 1961, 1965, 1972, 1978, 1986, 1988, 1992, 1994, 1997, 1999 and 2000, but various drought severity levels were classified for each drought event since the classification standards differed. Although the SPI and SPEI performed better than the EDDI and there were higher correlations between the SPI and the SPEI, all the indices were regional- or station-specific and have identified historical severe or extreme drought events. At shorter timescales, the EDDI revealed earlier onsets and ends of flash droughts, unlike those indicated by the SPI and SPEI. The comparison of the different indices based on the historical drought events confirmed the uses of the Pa, SPI and SPEI for determining continuous droughts and that of the EDDI for identifying flash droughts.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Drought index; Historical extreme drought event; Timescale; Trend test

Year:  2017        PMID: 29107781     DOI: 10.1016/j.scitotenv.2017.10.327

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Drought evolution indicated by meteorological and remote-sensing drought indices under different land cover types in China.

Authors:  Tehseen Javed; Ning Yao; Xinguo Chen; Sovannaka Suon; Yi Li
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-11       Impact factor: 4.223

2.  Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration.

Authors:  Lifeng Wu; Junliang Fan
Journal:  PLoS One       Date:  2019-05-31       Impact factor: 3.240

3.  Assessment of vegetation growth and drought conditions using satellite-based vegetation health indices in Jing-Jin-Ji region of China.

Authors:  Rengui Jiang; Jichao Liang; Yong Zhao; Hao Wang; Jiancang Xie; Xixi Lu; Fawen Li
Journal:  Sci Rep       Date:  2021-07-02       Impact factor: 4.379

4.  A comparative study on the leaf anatomical structure of Camellia oleifera in a low-hot valley area in Guizhou Province, China.

Authors:  Yang Hu; Lu Yang; Chao Gao; Desheng Liao; Li Long; Jie Qiu; Hongli Wei; Quanen Deng; Yunchao Zhou
Journal:  PLoS One       Date:  2022-01-20       Impact factor: 3.240

  4 in total

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