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Abstract:
Droughts have posed large threats to crop growth and economic development in the crucial grain-producing region, such as the North China Plain (Huang-Huai-Hai Plain). It is crucial to fully understand the drought characteristics for national food security. Previous studies have relied primarily on the single drought index rather than the multiple drought indices. The single drought index makes it relatively difficult to provide comprehensive and consistent information, compared with the multiple drought indices. However, drought monitoring often varies significantly, because the multiple factors are considered by different drought indices. In this study, four drought indices were utilized to evaluate the spatiotemporal variation of drought in the Huang-Huai-Hai Plain from 1970 to 2020. These indices included the standardized precipitation index (SPI), standardized precipitation evapotranspiration index (SPEI), self-calibrating Palmer drought severity index (scPDSI), and aridity index (AI). Drought events were fully examined from four aspects: intensity, area ratio, frequency, and duration of drought. Data resources were obtained from 564 meteorological stations in the National Meteorological Information Center, including the average, minimum, and maximum temperature, precipitation, wind speed, relative humidity, and sunshine hours. The effective soil water content was collected from the Chinese soil dataset using the World Soil Database provided by the National Tibetan Plateau Research Center. The research results indicate that the better consistency of four drought indices was achieved to characterize the drought intensity and area. The overall drought intensity shared a decreasing trend from 1970 to 2020. The downward trend was ranked in the order of the SPI © 2023 Chinese Society of Agricultural Engineering. All rights reserved.
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Transactions of the Chinese Society of Agricultural Engineering
ISSN: 1002-6819
CN: 11-2047/S
Year: 2023
Issue: 19
Volume: 39
Page: 85-92
Cited Count:
SCOPUS Cited Count: 4
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 13
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