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雷达遥感显示全球尺度上降雨侵蚀力可能被低估。

Radar remote sensing reveals potential underestimation of rainfall erosivity at the global scale.

作者信息

Dai Qiang, Zhu Jingxuan, Lv Guonian, Kalin Latif, Yao Yuanzhi, Zhang Jun, Han Dawei

机构信息

Key Laboratory of VGE of Ministry of Education, Nanjing Normal University, Nanjing, China.

Department of Civil Engineering, University of Bristol, Bristol, UK.

出版信息

Sci Adv. 2023 Aug 9;9(32):eadg5551. doi: 10.1126/sciadv.adg5551.

Abstract

Rainfall kinetic energy (RKE) constitutes one of the most critical factors that drive rainfall erosivity on surface soil. Direct measurements of RKE are limited, relying instead on the empirical relations between kinetic energy and rainfall intensity ( relation), which have not been well regionalized for data-scarce regions. Here, we present the first global rainfall microphysics-based RKE () flux retrieved from radar reflectivity at different frequencies. The results suggest that flux outperforms the estimates derived from a widely used empirical relation () validated using ground disdrometers. We found a potentially widespread underestimation of , which is especially prominent in some low-income countries with ~20% underestimation of RKE and the resultant rainfall erosivity. Given the evidence that these countries are subject to greater rainfall-induced soil erosion, these underestimations would mislead conservation practices for sustainable development of terrestrial ecosystems.

摘要

降雨动能(RKE)是驱动地表土壤降雨侵蚀力的最关键因素之一。对RKE的直接测量有限,而是依赖于动能与降雨强度之间的经验关系(关系),而这些关系在数据稀缺地区尚未得到很好的区域化。在此,我们展示了首个基于全球降雨微物理的RKE()通量,它是从不同频率的雷达反射率中检索出来的。结果表明,通量优于使用地面雨滴谱仪验证的广泛使用的经验关系()得出的估计值。我们发现RKE可能普遍被低估,这在一些低收入国家尤为突出,RKE被低估约20%,以及由此产生的降雨侵蚀力。鉴于有证据表明这些国家遭受更大的降雨引发的土壤侵蚀,这些低估会误导陆地生态系统可持续发展的保护措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ead2/10411884/3b86d80cb0d6/sciadv.adg5551-f1.jpg

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