从地中海地区的粗时间分辨率降水数据来估计降雨侵蚀性的实证方法
Surafel M Woldegebrael1, Nunzio Romano1, Dario Pumo2
1Department of Agricultural Sciences, University of Naples Federico II, Portici, Napoli, Italy.
The Science of the total environment
|July 29, 2025
概括
新的模型使用每日数据准确估计降雨侵蚀性,优于现有方法. 这有助于在具有有限高分辨率降雨数据的地区更好地预测土壤损失.
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:
- 准确的降雨侵蚀性评估对于预测土壤损失至关重要,但通常受到数据可用性的限制.
- 现有的模型经常依赖于粗略分辨率的降雨数据,影响其精度.
研究的目的:
- 开发和验证用于估计年平均降雨侵蚀性的简化实证模型.
- 将新的每日分辨率模型的性能与现有的粗度分辨率方法进行比较.
主要方法:
- 利用了意大利南部335个测量器的20年10分钟降雨数据数据集.
- 开发了两种新的经验模型,使用每日降雨数据,结合气象,地理和地形预测器.
- 使用RMSE,调整R2和Kling-Gupta效率等指标比较模型性能.
主要成果:
- 这两种新开发的模型的性能明显优于现有的十种重新校准的模型.
- 使用新模型,绝对百分比误差降低了27%至18%.
- 由于广泛的数据集,模型显示了更好的准确性和稳定性.
结论:
- 简化的每日分辨率模型可以有效地估计降雨侵蚀性,在高分辨率数据稀缺的情况下提供可行的替代方案.
- 开发的模型提高了降雨侵蚀性的估计,有助于更准确的土壤损失建模.
- 结果支持综合建模方法,以改善数据有限地区的可转移性.
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