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<p>The continuous accumulation of meteorological water deficit conditions such as insufficient precipitation and strong evapotranspiration can directly lead to crop water stress and ultimately develop into agricultural drought. As the main commodity grain base in China, the North China Plain (NCP) is a region with frequent drought disasters. This study uses 3D spatiotemporal clustering recognition technology to clarify the dynamic evolution process of typical drought events, and reveal the spatiotemporal response characteristics of agricultural drought to meteorological drought from a three-dimensional perspective. The results showed that: (1) the number of the most serious agricultural drought event in the NCP from 1982 to 2024 was No. A141 (2001.03–2002.10), and its severity and impact area were 4370.04 × 10<sup>3</sup>·month·km<sup>2</sup> and 486.21 × 10<sup>3</sup> km<sup>2</sup>, respectively; (2) the linear trend rate of the area affected by agricultural drought was 0.934 × 10<sup>3</sup> km<sup>2</sup>/10a, and reached its maximum value of 475.44 × 10<sup>3</sup> km<sup>2</sup> in February 2020; and (3) a total of 56 meteorological-agricultural drought events were successfully matched within the research area, and the relationships were divided into three main types: “correspondence” (18 events), “inclusion” (12 events), and “intersection” (26 events).</p>

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Dynamic Variations of Agricultural Drought and its Response to Meteorological Drought Based on a Three-Dimensional Spatiotemporal Clustering Perspective

  • 期刊论文

  • 发表日期：

    2026年5月2日

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  • Fei Wang,
  • Hexin Lai,
  • Ruyi Men,
  • Zipeng Wang,
  • Yanbin Li,
  • Yunzhong Jiang,
  • Kai Feng,
  • Wenxian Guo,
  • Qingqing Tian,
  • Yanping Qu

摘要

The continuous accumulation of meteorological water deficit conditions such as insufficient precipitation and strong evapotranspiration can directly lead to crop water stress and ultimately develop into agricultural drought. As the main commodity grain base in China, the North China Plain (NCP) is a region with frequent drought disasters. This study uses 3D spatiotemporal clustering recognition technology to clarify the dynamic evolution process of typical drought events, and reveal the spatiotemporal response characteristics of agricultural drought to meteorological drought from a three-dimensional perspective. The results showed that: (1) the number of the most serious agricultural drought event in the NCP from 1982 to 2024 was No. A141 (2001.03–2002.10), and its severity and impact area were 4370.04 × 103·month·km2 and 486.21 × 103 km2, respectively; (2) the linear trend rate of the area affected by agricultural drought was 0.934 × 103 km2/10a, and reached its maximum value of 475.44 × 103 km2 in February 2020; and (3) a total of 56 meteorological-agricultural drought events were successfully matched within the research area, and the relationships were divided into three main types: “correspondence” (18 events), “inclusion” (12 events), and “intersection” (26 events).