Spatiotemporal characteristics of rainfall erosivity based on multi-source precipitation merged data in Jiangsu Province

Ju Yan; Yang Xing; Qi Fei; Xia Qibing; Zhang Wenye

doi:10.13961/j.cnki.stbctb.2025.02.025

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Spatiotemporal characteristics of rainfall erosivity based on multi-source precipitation merged data in Jiangsu Province

- Spatiotemporal characteristics of rainfall erosivity based on multi-source precipitation merged data in Jiangsu Province
- Bulletin of Soiland Water Conservation Vol. 45, Issue 2, Pages: 241-250(2025)
- 作者机构：
  
  1. 江苏省水利科学研究院,江苏,南京,210017
  2. 南京市高淳区水务局,江苏,南京,211300
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2025.02.025
  CLC： S157.1
- Online First：16 May 2025，
  
  Published：2025
- 稿件说明：
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Ju Yan, Yang Xing, Qi Fei, et al. Spatiotemporal characteristics of rainfall erosivity based on multi-source precipitation merged data in Jiangsu Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 241-250.
DOI：

Ju Yan, Yang Xing, Qi Fei, et al. Spatiotemporal characteristics of rainfall erosivity based on multi-source precipitation merged data in Jiangsu Province[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 241-250. DOI： 10.13961/j.cnki.stbctb.2025.02.025.

摘要

[目的

]

研究江苏省不同的时间和空间尺度的降雨侵蚀力及其侵蚀密度特征，为区域降雨侵蚀力预测和土壤侵蚀控制的重要参考。[方法

]

基于江苏省96个气象观测站点的降雨数据和GPM IMERG，ERA5降水产品，研发了一种基于站点—卫星降水融合的降雨侵蚀力计算方法，重建了江苏省2001—2023年降雨侵蚀力，并进一步研究其侵蚀密度及易发区划分。[结果

]

①该方法具有一定的可靠性，融合降雨侵蚀力相较于卫星降雨侵蚀力和站点降雨侵蚀力，具有较高的相关系数、较小的偏差和均方根误差，能有效捕捉降雨侵蚀力的高值，减少不确定性和误差。②2001—2023年江苏省多年平均降雨侵蚀力为4 709.39 MJ·mm/(hm

·h·a)，空间分布为北低南高，季节差异明显，夏季多冬季少。③2001—2023年江苏省年降雨侵蚀力呈增加趋势，气候倾向率季节存在差异，春季、夏季和秋季研究区南部呈显著的增加趋势，北部呈不显著的下降趋势，冬季反之。④江苏省年侵蚀密度为4.96 MJ/(hm

·h)，空间分布呈北高南低，降雨侵蚀最易发区为徐州市东部、连云港市北部和镇江市西部、南京市北部零星地区，不易受侵蚀的区域为扬州市和泰州市地区。[结论

]

基于站点—卫星降水融合方法估算区域降雨侵蚀力较为可靠，减少不确定性和误差，提高了卫星遥感反演降水在土壤水蚀领域的应用精度。

Abstract

[Objective] Integrated rainfall erosivity in Jiangsu Province was evaluated at different temporal and spatial scales

and the erosion density characteristics in Jiangsu Province were explored to provide an important reference for regional rainfall erosivity prediction and soil erosion control. [Methods] This study developed a station-satellite merged calculation method for rainfall erosivity based on rainfall data from 96 meteorological stations and precipitation products of GPM IMERG and ERA5. The rainfall erosivity of Jiangsu Province from 2001 to 2023 was reconstructed

and its erosivity density and prone area division were studied . [Results] ① Method reliability was confirmed because the fusion rainfall erosivity had a higher correlation coefficient

lower deviation

and lower root mean square error than did the rainfall erosivity calculated by satellites and stations. This method captures high values of rainfall erosivity and reduces uncertainty and error. ② The mean annual rainfall erosivity in Jiangsu Province from 2001 to 2023 was 4 709.39 MJ·mm/(hm2·h·yr); the spatial distribution was 'low in the north

high in the south’. Seasonal rainfall erosivity showed a pattern of 'more in summer

less in winter’. ③ Annual rainfall erosivity in Jiangsu Province showed an increasing trend from 2001 to 2023. The climate tendency rate showed a significant increasing trend in the south of Jiangsu Province in spring

summer

and autumn

and an insignificant decreasing trend in the north

which was the opposite in winter. ④ The annual erosivity density of Jiangsu Province was 4.96 MJ/(hm2·h)

and the spatial distribution was 'high in the north

low in the south’. The areas most vulnerable to rainfall erosivity were east of Xuzhou

north of Lianyungang

west of Zhenjiang

and the northern part of Nanjing City. The less vulnerable areas were Yangzhou City and Taizhou City. [Conclusion] The estimation of regional rainfall erosivity based on site-satellite precipitation merged data is reliable

reduces uncertainty and error

and improves the accuracy of satellite remote sensing applied in the field of soil erosion.

关键词

Keywords

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