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author:

Qu, Yanping (Qu, Yanping.) [1] | Wang, Qianfeng (Wang, Qianfeng.) [2] (Scholars:王前锋) | Li, Zhe (Li, Zhe.) [3] | Zhang, Rongrong (Zhang, Rongrong.) [4] | Zeng, Jingyu (Zeng, Jingyu.) [5] | Song, Yanling (Song, Yanling.) [6] | Yang, Xiaojing (Yang, Xiaojing.) [7] | Lv, Juan (Lv, Juan.) [8]

Indexed by:

SCIE

Abstract:

Climate change is one of the main reasons for frequent severe droughts in many areas of China. At present, there is a lack of research on the occurrence and impact of large-scale and long-lasting extreme drought events in the historical period. This study utilized the 'Yu-Xue-Fen-Cun' (rain and snow record) data from the Qing Palace Archives for the Qing Dynasty and records from modern meteorological stations as data sources, combined with key parameters of the study area obtained by field experiments. The improved Green-Ampt infiltration model was used to convert historical data into precipitation data, and the precipitation anomaly percentage (PA) was calculated as a meteorological drought indicator. The spatial distribution and evolution of historical extreme drought events in Shanxi Province were studied and are discussed. The results show a severe shortage of rainfall followed by severe drought events between 1875 and 1879 in Shanxi Province. The shortage level reached its peak in 1877. Extreme drought events occurred from 1875 to 1877 when the whole province was heavily drought-stricken, with annual PA values of -65%, -64%, and -70%, respectively. Reconstructing extreme historical droughts has an important practical significance in coping with drought catastrophes that may occur now or in the future and contributes to the development of disaster prevention and preparedness strategies, disaster reduction policies, and risk prevention and control.

Keyword:

Historical extreme drought events Improved Green-Ampt Precipitation anomaly percentage Rainfall infiltration Reconstruction of snowfall

Community:

  • [ 1 ] [Qu, Yanping]China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
  • [ 2 ] [Li, Zhe]China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
  • [ 3 ] [Yang, Xiaojing]China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
  • [ 4 ] [Lv, Juan]China Inst Water Resources & Hydropower Res, Res Ctr Flood & Drought Disaster Reduct, Beijing 100038, Peoples R China
  • [ 5 ] [Wang, Qianfeng]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 6 ] [Zhang, Rongrong]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 7 ] [Zeng, Jingyu]Fuzhou Univ, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Coll Environm & Safety Engn, Fuzhou 350116, Peoples R China
  • [ 8 ] [Song, Yanling]China Meteorol Adm, Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China

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Source :

CLIMATE RESEARCH

ISSN: 0936-577X

Year: 2022

Volume: 87

Page: 183-197

1 . 1

JCR@2022

1 . 2 0 0

JCR@2023

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:64

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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