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author:

Zeng, Jingyu (Zeng, Jingyu.) [1] | Zhang, Rongrong (Zhang, Rongrong.) [2] | Lin, Yuehuan (Lin, Yuehuan.) [3] | Wu, Xiaoping (Wu, Xiaoping.) [4] | Tang, Jia (Tang, Jia.) [5] | Guo, Pengcheng (Guo, Pengcheng.) [6] | Li, Jinghan (Li, Jinghan.) [7] | Wang, Qianfeng (Wang, Qianfeng.) [8] (Scholars:王前锋)

Indexed by:

SSCI Scopus SCIE

Abstract:

Droughts-major natural disasters with a complex development and evolution process-cause enormous losses for society, especially in the agriculture sector. We analyzed the spatiotemporal evolution of drought frequency in China at grid level during 1981-2019 with the nonparametric Mann-Kendall trend method, using a high temporal resolution vegetation health index dataset at week-scale. Results suggest the that (1) after entering the 21st century, China's drought-affected area has declined, with Northeast China being the least affected region and Northwest China being the most severely affected; (2) the spatial pattern of drought characteristics in China is polarized, and the frequency of droughts has generally declined, with the most prominent intensity and frequency observed in some urbanized and economically developed regions; and (3) although the changes to the drought characteristics and frequency in China provide a generally optimistic picture, drought intensity and frequency in some developed regions have increased significantly, and the future trend predictions for these areas are less positive. This study, focusing on the spatiotemporal characteristics and evolution of drought patterns, with the aim of raising awareness of drought disasters, can help mitigate and prevent the damage caused by droughts to society, and can provide a scientific basis for drought early-warning systems and risk management in China going forward.

Keyword:

Change trend China Drought frequency Drought intensity Spatiotemporal patterns Vegetation health index VHI

Community:

  • [ 1 ] [Zeng, Jingyu]Fuzhou Univ, Coll Environm & Resource, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Fuzhou 350116, Peoples R China
  • [ 2 ] [Zhang, Rongrong]Fuzhou Univ, Coll Environm & Resource, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Fuzhou 350116, Peoples R China
  • [ 3 ] [Lin, Yuehuan]Fuzhou Univ, Coll Environm & Resource, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Fuzhou 350116, Peoples R China
  • [ 4 ] [Wu, Xiaoping]Fuzhou Univ, Coll Environm & Resource, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Fuzhou 350116, Peoples R China
  • [ 5 ] [Tang, Jia]Fuzhou Univ, Coll Environm & Resource, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Fuzhou 350116, Peoples R China
  • [ 6 ] [Wang, Qianfeng]Fuzhou Univ, Coll Environm & Resource, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Fuzhou 350116, Peoples R China
  • [ 7 ] [Zeng, Jingyu]Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China
  • [ 8 ] [Zhang, Rongrong]Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China
  • [ 9 ] [Lin, Yuehuan]Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China
  • [ 10 ] [Wu, Xiaoping]Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China
  • [ 11 ] [Tang, Jia]Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China
  • [ 12 ] [Wang, Qianfeng]Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China
  • [ 13 ] [Guo, Pengcheng]Hainan Univ, Sch Ecol & Environm, Haikou 570000, Hainan, Peoples R China
  • [ 14 ] [Li, Jinghan]Anhui Normal Univ, Coll Geog & Tourism, Wuhu 241000, Peoples R China
  • [ 15 ] [Wang, Qianfeng]Univ Maryland, Joint Global Change Res Inst, College Pk, MD 20740 USA
  • [ 16 ] [Wang, Qianfeng]Univ Maryland, Pacific Northwest Natl Lab, College Pk, MD 20740 USA

Reprint 's Address:

  • 王前锋

    [Wang, Qianfeng]Fuzhou Univ, Coll Environm & Resource, Fujian Prov Key Lab Remote Sensing Soil Eros & Di, Fuzhou 350116, Peoples R China;;[Wang, Qianfeng]Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China;;[Wang, Qianfeng]Univ Maryland, Joint Global Change Res Inst, College Pk, MD 20740 USA;;[Wang, Qianfeng]Univ Maryland, Pacific Northwest Natl Lab, College Pk, MD 20740 USA

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Source :

CLIMATE RESEARCH

ISSN: 0936-577X

Year: 2020

Volume: 81

Page: 131-147

1 . 9 7 2

JCR@2020

1 . 2 0 0

JCR@2023

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:159

JCR Journal Grade:4

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 19

SCOPUS Cited Count: 19

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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