在西藏高原评估降雨侵蚀性,通过整合高时空分辨率格式降雨和标尺数据来评估降雨侵蚀性
Bing Yin1, Yun Xie2, Chong Yao3
1School of Soil and Water Conservation, Nanchang Institute of Technology, Nanchang 330099, China; Institute of Soil and Water Conservation, Northwest A&F University, Yangling, Shaanxi 712100, China.
The Science of the total environment
|July 2, 2024
概括
在西藏高原 (TP) 上准确地绘制降雨侵蚀性地图,对于了解土壤侵蚀至关重要. 使用高分辨率数据的修订模型改善了侵蚀性计算,揭示了趋势的增加和侵蚀风险的增加.
科学领域:
- 环境科学 环境科学
- 水文学的水文学
- 地质科学是地球科学.
背景情况:
- 高精度的降雨侵蚀性测绘对于评估西藏高原 (TP) 的土壤侵蚀,特别是随着气候变化,至关重要.
- 由于空间异质性和时间细粒度,现有的网格式降水数据可能导致侵蚀性计算中的错误.
研究的目的:
- 用高分辨率的每小时降水数据开发一个修订后的模型来计算降雨侵蚀性.
- 为了提高降雨侵蚀性测绘在TP的准确性.
主要方法:
- 建立了场地规模的转换系数,以协调每分钟和每小时降雨侵蚀性数据.
- 使用第三极格式降水数据集 (TPHiPr) 进行修订的侵蚀性计算.
- 使用Nash-Sutcliffe效率和百分比偏差等统计指标验证了修订后的模型.
主要成果:
- 修订后的模型显著提高了准确性,纳什-萨克利夫效率从-0.39增加到0.80,百分比偏差从-63.95%变为0.37%.
- TPHiPr数据集准确地描绘了空间降雨侵蚀性模式,包括雨影和高侵蚀性区域.
- 从1981年到2020年,在整个TP地区观察到降雨侵蚀性的总体上升趋势,超过65%的地区显示增加.
结论:
- 修订后的模型提供了一种更准确的方法,用于在TP上绘制降雨侵蚀性地图.
- 这些发现表明,由于降雨侵蚀性增加,水侵蚀的风险加剧.
- 40年高分辨率数据集为了解和管理TP的土壤侵蚀提供了关键数据.
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