2021
DOI: 10.3390/atmos12101249
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Characteristics of Agricultural Droughts and Spatial Stratified Heterogeneity and Dependence of Dominant Factors in Inner Mongolia Autonomous Region, China

Abstract: Droughts have significantly damaged the environment of the Inner Mongolia Autonomous Region, China. In this study, the region was divided into two subregions. Soil moisture was used as the basic parameter to analyze the characteristics of agricultural droughts. Based on a geographical detector, the spatial stratified heterogeneity in different seasons was discussed. Moreover, the copula joint functions of characteristics and dominant factors of agricultural droughts were constructed. Based on the Soil Moisture… Show more

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Cited by 3 publications
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“…Subsequently, numerous scholars have employed this model to investigate spatial heterogeneity and changes in the driving factors of surface SM. For example, Yang et al [21], Xu et al [22], and Yang et al [23] used the GD model to assess the spatiotemporal patterns of SM on the Inner Mongolian Plateau, the Ili River Basin, and the Shiyang River Basin, respectively, offering a novel research perspective for the analysis of the spatiotemporal patterns of SM. Due to the sensitivity of the GD model relative to spatial discretization methods and the number of strata, determining both can be relatively complex.…”
Section: Introductionmentioning
confidence: 99%
“…Subsequently, numerous scholars have employed this model to investigate spatial heterogeneity and changes in the driving factors of surface SM. For example, Yang et al [21], Xu et al [22], and Yang et al [23] used the GD model to assess the spatiotemporal patterns of SM on the Inner Mongolian Plateau, the Ili River Basin, and the Shiyang River Basin, respectively, offering a novel research perspective for the analysis of the spatiotemporal patterns of SM. Due to the sensitivity of the GD model relative to spatial discretization methods and the number of strata, determining both can be relatively complex.…”
Section: Introductionmentioning
confidence: 99%