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在地中海地区使用不同的时间分辨率计算降雨侵蚀性的影响

Marco Piccarreta¹, Maurizio Lazzari², Mario Bentivenga³

¹Ministro dell'Istruzione e del Merito, Rome, Italy.

The Science of the total environment

|September 28, 2023

概括

准确的降雨侵蚀性 (EI30) 计算需要高时间分辨率的数据. 使用超过30分钟的间隔显著低估了侵蚀性,特别是峰值降雨强度 (I30). 最佳估计需要时间间隔小于10分钟的数据.

科学领域:

水文学的水文学
土壤科学土壤科学
环境科学环境科学

背景情况:

降雨侵蚀性 (EI30) 是土壤侵蚀的一个关键因素,直接受到风暴强度的影响.
计算EI30对降雨数据的时间分辨率敏感,较长的间隔导致低估.
现有的方法经常使用固定时间间隔 (ΔΤ) 汇总的数据,可能导致不准确的侵蚀评估.

研究的目的:

通过使用各种时间分辨率 (ΔΤ) 调查EI30计算中的差异和相关性.
量化降雨侵蚀性参数 (I30,KE,EI30) 在不同 ΔΤ.的低估值.
为了确定降雨数据的最佳时间间隔,准确估计EI30.

主要方法:

从意大利巴西利卡塔的6个站点收集了一分钟的降雨数据 (2006-2022年).
使用1分钟数据计算的参考EI30,最大30分钟降雨强度 (I30) 和风暴运动能 (KE).
将数据汇总为5,10,15,30和60分钟的间隔,以评估低估效应.

主要成果:

使用 ΔΤ ≤ 15 分钟,动能 (KE) 是低估的主要来源.
对于 ΔΤ > 30 分钟,最大 30 分钟降雨强度 (I30) 主要导致 EI30 低估.
大致时间分辨率 (>30分钟) 导致侵蚀性事件的损失>5%,EI30的低估>30%.

结论:

高时间分辨率 (≤10分钟) 对于准确的降雨侵蚀性估计至关重要.
低估是由KE在更精细的分辨率和I30在更粗的分辨率驱动的.
使用较长时间间隔的现行做法大大损害了土壤侵蚀风险评估的准确性.

关键词:

强度/持续时间降雨的侵蚀性降雨的侵蚀性时间间隔时间间隔低估低估低估低估

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