Literature DB >> 29426220

Comprehensive assessment of drought risk in the arid region of Northwest China based on the global palmer drought severity index gridded data.

Peng Yang1, Jun Xia2, Yongyong Zhang3, Chesheng Zhan3, Yunfeng Qiao4.   

Abstract

Droughts are extremely widespread natural disasters, which cause the most severe losses among natural disasters. The comprehensive drought risk in Northwest China (NWC) was evaluated based on the self-calibrating (SC) Palmer Drought Severity Index (PDSI) and copula method. The major conclusions are the following: (1) based on the rotated empirical orthogonal function (REOF), a significant consistency in the spatial distribution of the monthly averaged SC-PDSI was observed in NWC, especially in the subregions Inner Mongolia Plateau (IM), Hexi Corridor (HX), and Qiangtang Plateau (QT); (2) the largest frequency was obtained for slight drought and slight wet conditions, while extreme drought and extreme wet showed the lowest values; (3) with respect to the PDSI-th, the Clayton, Arch12, Arch12, Arch12, Arch12, and Frank played the major roles in the copula weight in the subregions IM, HX, Qinghai River Basin (QH), QT, North Xinjiang (NXJ), and South Xinjiang (SXJ), respectively. In terms of PDSI-pm, Arch12, Clayton, Gaussian, Arch12, Clayton, and Clayton dominated the weights of multi-copula functions in the regions IM, HX, QH, QT, NXJ, and SXJ, respectively; and (4) the frequency and probability of droughts in each area differed. The least drought events occurred in the QT and the most emerged in the HX for SC-PDSI.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  NWC; REOF; copula; drought duration; drought severity; probability

Year:  2018        PMID: 29426220     DOI: 10.1016/j.scitotenv.2018.01.234

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


  1 in total

1.  Quantitative assessment of the ecological effects of land use/cover change in the arid region of Northwest China.

Authors:  Baofu Li; Xun Shi; Yaning Chen; Yuqing Jiang
Journal:  Environ Monit Assess       Date:  2019-10-31       Impact factor: 2.513

  1 in total

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