Spatiotemporal variation of drought characteristics in the Huang-Huai-Hai Plain, China under the climate change scenario

文献类型： 外文期刊

第一作者： Li Xiang-xiang

作者： Li Xiang-xiang;Ju Hui;Yan Chang-rong;Liu Qin;Li Xiang-xiang;Garre, Sarah;Liu Qin;Batchelor, William D.

作者机构：

关键词： climate change;drought index;drought characteristics;Huang-Huai-Hai Plain

期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：2.848； 五年影响因子：2.979 ）

ISSN： 2095-3119

年卷期： 2017 年 16 卷 10 期

页码：

收录情况： SCI

摘要： Understanding the potential drought characteristics under climate change is essential to reduce vulnerability and establish adaptation strategies, especially in the Huang-Huai-Hai Plain (3H Plain), which is a major grain production area in China. In this paper, we investigated the variations in drought characteristics (drought event frequency, duration, severity, and intensity) for the past 50 years (1961-2010) and under future scenarios (2010-2099), based on the observed meteorological data and the Representative Concentration Pathway (RCP) 8.5 scenario, respectively. First, we compared the applicability of three climatic drought indices: the standardized precipitation index (SPI), the standardized precipitation evapotranspiration index based on the Penman-Monteith equation (SPEI-PM) and the same index based on the Thornthw'aite equation (SPEI-TH) to correlate the recorded agricultural drought areas. Then, we analyzed the drought characteristics using 'run theory' for both historical and the future RCP 8.5 scenario based on the best performing index. Correlation analyses between drought indices and agricultural drought areas showed that SPEI-PM performed better than SPI and SPEI-TH in the 3H Plain. Based on the results of SPEI-PM, drought risks including duration, severity and intensity during 1961-2010 showed an decreasing trend. However, under the RCP 8.5 scenario, drought is expected to rise in frequency, duration, severity, and intensity from 2010-2099, although drought components during the 2010-2039 are predicted to be milder compared with historical conditions. This study highlights that the estimations for atmospheric evaporative demand would create differences in the prediction of long-term drought trends by different drought indices. The results of this study can help inform researchers and local policy makers to establish drought management strategies.

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