全球降雨侵蚀性数据库 (GloREDa) 和每月的R因子数据在1公里的空间分辨率
Panos Panagos1, Tomislav Hengl2, Ichsani Wheeler2
1European Commission, Joint Research Centre (JRC), Ispra, 21027, Italy.
Data in brief
|August 28, 2023
概括
全球降雨侵蚀性数据库 (GloREDa) 提供了近4000个全球站点的降雨侵蚀性数据的开放访问. 这种资源有助于土壤侵蚀预测和气候变化评估.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 土壤科学 土壤科学
背景情况:
- 土壤侵蚀是一个重要的环境挑战,由降雨强度驱动.
- 现有的降雨侵蚀性数据往往局部化,缺乏全球覆盖.
- 准确的降雨侵蚀性数据对于有效的土壤保护和土地管理至关重要.
研究的目的:
- 引入和发布全球降雨侵蚀性数据库 (GloREDa),这是一个全面的全球数据集.
- 为全球的研究人员和政策制定者提供雨水侵蚀性 (R-因子) 数据的开放访问.
- 使用机器学习以1公里分辨率生成全球月度侵蚀性数据集.
主要方法:
- 来自65个国家的近4000个站点的降雨侵蚀性值的汇编.
- 使用小时和小时降雨记录来计算R因子.
- 应用整体机器学习方法 (R中的mlr包) 来预测全球月度侵蚀性.
主要成果:
- 建立了 GloREDa,这是首个开放式的全球降雨侵蚀性数据库.
- 包含大量站点的年度和平均月度侵蚀性数据.
- 在1公里分辨率下生成全球月度侵蚀性光数据集.
结论:
- GloREDa为全球土壤侵蚀研究和环境建模提供了至关重要的资源.
- 每月生成的侵蚀性数据集可以支持气候变化影响评估和灾害管理.
- 对此类数据的开放访问有助于进一步研究和开发可持续的土地管理实践.
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