Assessing the Effects of Wheat Planting on Groundwater Under Climate Change: A Quantitative Adaptive Sliding Window Detection Strategy

文献类型： 外文期刊

第一作者： Fan, Lingling

作者： Fan, Lingling;Fan, Lingling;Xia, Lang;Zha, Yan;Yang, Peng;Fan, Lingling;Xia, Lang;Zha, Yan;Yang, Peng;Chen, Shi

作者机构：

关键词： wheat area; groundwater storage; effect assessment; spatiotemporal variation; climate change

期刊名称：ATMOSPHERE （ 影响因子：2.3； 五年影响因子：2.5 ）

ISSN：

年卷期： 2024 年 15 卷 12 期

页码：

收录情况： SCI

摘要： Climate change has led to changes in precipitation patterns, exacerbating the overextraction of groundwater for wheat irrigation. Although many studies have examined the effects of wheat cultivation on groundwater storage (GWS), few studies have directly assessed the effects of wheat planting on GWS. We proposed a wheat subsiding effect detection (WSED) strategy using time-series remote sensing image to assess the effect of wheat area on GWS across China. The subsiding magnitude of the WSED is calculated as the GWS difference between the wheat area and adjacent nonwheat area in the self-adaptive moving window (the size and position of the sliding window can be automatically adjusted based on the characteristics of the data at the central pixel location). The effects of the wheat area on groundwater storage differ greatly among the change types of wheat area and planting regionalization, characterized by the strong subsiding effect in the wheat stable area, gain area, and Huanghuaihai zone (HWW, the most important wheat-producing region in China mainly includes the provinces and municipalities of Beijing, Tianjin, Henan, Hebei, Shandong, Anhui, and Jiangsu). Nearly 80% of the wheat area in the stable and gain regions had lower groundwater depth than nonwheat areas with significant differences (p < 0.05), resulting in a clear declining groundwater trend of approximately -1 cm/year. This study provides quantitative evidence for the effects of wheat planting on GWS regarding agricultural production and climate change adaptations.

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