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February 11, 2026Transactions in GIS0 citationsOpen Access

A Precipitation Simulation Method Considering Spatial Decay of Geographical Phenomena and Integrating Terrain Light Propagation

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HZHongchun ZhuZZZhuosi ZhangXXXiaobin Xu

Key Points

  • The study aims to improve precipitation simulation accuracy by incorporating terrain factors and spatial decay effects.
  • Developed an improved kernel function using the ACE index for spatial diffusion.
  • Included terrain features such as slope and undulation in the precipitation model.
  • Applied the model to autumn precipitation data in Zhejiang Province.
  • Conducted random validation to assess model performance at optimal bandwidths.
  • The model increased R2 by 13.8% with the inclusion of the principal wind direction coefficient.
  • Coastal precipitation was significantly influenced by land-sea distribution.
  • Inland precipitation mainly correlated with elevation, indicating spatial heterogeneity.
  • The model exhibited strong transferability across different terrain scenarios.

Abstract

ABSTRACT The spatial attenuation effect, a core expression of Tobler's First Law of Geography, strongly shapes the distribution of precipitation. Traditional models use kernel functions to capture spatial association but often ignore terrain's three‐dimensional influence, limiting accuracy in complex areas. This study proposes an improved kernel function incorporating the ACE index between point pairs to better simulate spatial diffusion. Applied to autumn precipitation in Zhejiang Province, China, the model includes slope, terrain undulation, coastal distance, and the principal wind direction coefficient (PWEI), with PWEI increasing R 2 by 13.8%. Random validation confirms superior performance at optimal bandwidths. Standardized regression coefficients show coastal precipitation is driven by land‐sea distribution, while inland areas are mainly influenced by elevation, reflecting clear spatial heterogeneity. Terrain sub‐scenario tests further demonstrate the model's strong transferability. Embedding surface morphology as a continuous factor enhances simulation accuracy and offers a novel framework for spatial modeling in geography.

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Cite This Study

Zhu et al. (2026) studied this question.

synapsesocial.com/papers/698c1bb8267fb587c655d964https://doi.org/10.1111/tgis.70187
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