根据IMERG数据估算的动态降雨侵蚀力

IF 5.7 1区 地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY
Robert A. Emberson
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引用次数: 0

摘要

摘要土壤退化对世界各地的农业和粮食安全构成严重威胁。了解驱动土壤侵蚀的过程对于支持可持续管理实践和减少肥料径流造成的水系统富营养化是必要的。降水的侵蚀力是土壤侵蚀速率的主要控制因素,但要计算侵蚀力,需要高频降水数据。先前的全球尺度分析几乎完全使用地面雨量计来计算侵蚀力,但高频卫星降雨数据的出现提供了使用全球一致网格卫星降雨来估计侵蚀力的机会。在本研究中,我测试了使用IMERG(全球降水任务综合多卫星检索)降雨数据来计算全球降雨侵蚀力。我测试了三种不同的方法来评估IMERG数据的简化是否允许对侵蚀力进行可靠的计算,发现需要最高频率的30分钟数据才能最好地复制基于测量的估计。我还发现,在地面测量仪稀少的地区,IMERG得出的估算结果与地面测量仪得出的结果之间存在更大的差异,这表明IMERG可能会改善数据贫乏地区的侵蚀力估算。IMERG数据的全球范围和可访问性允许在每月的时间框架内定期计算侵蚀力,从而可以近实时地改进全球降雨侵蚀力的动态特征。这些结果证明了卫星数据在评估降雨对土壤侵蚀的影响方面的价值,并可能使可持续土地管理规划的实践者受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic rainfall erosivity estimates derived from IMERG data
Abstract. Soil degradation is a critical threat to agriculture and food security around the world. Understanding the processes that drive soil erosion is necessary to support sustainable management practices and to reduce eutrophication of water systems from fertilizer runoff. The erosivity of precipitation is a primary control on the rate of soil erosion, but to calculate erosivity high-frequency precipitation data are required. Prior global-scale analysis has almost exclusively used ground-based rainfall gauges to calculate erosivity, but the advent of high-frequency satellite rainfall data provides an opportunity to estimate erosivity using globally consistent gridded satellite rainfall. In this study, I have tested the use of IMERG (Integrated Multi-satellitE Retrievals for GPM, Global Precipitation Mission) rainfall data to calculate global rainfall erosivity. I have tested three different approaches to assess whether simplification of IMERG data allows for robust calculation of erosivity, finding that the highest-frequency 30 min data are needed to best replicate gauge-based estimates. I also find that in areas where ground-based gauges are sparse, there is more disparity between the IMERG-derived estimates and the ground-based results, suggesting that IMERG may allow for improved erosivity estimates in data-poor areas. The global extent and accessibility of IMERG data allow for regular calculation of erosivity in a month-to-month time frame, permitting improved dynamic characterization of rainfall erosivity across the world in near-real time. These results demonstrate the value of satellite data to assess the impact of rainfall on soil erosion and may benefit practitioners of sustainable land management planning.
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来源期刊
Hydrology and Earth System Sciences
Hydrology and Earth System Sciences 地学-地球科学综合
CiteScore
10.10
自引率
7.90%
发文量
273
审稿时长
15 months
期刊介绍: Hydrology and Earth System Sciences (HESS) is a not-for-profit international two-stage open-access journal for the publication of original research in hydrology. HESS encourages and supports fundamental and applied research that advances the understanding of hydrological systems, their role in providing water for ecosystems and society, and the role of the water cycle in the functioning of the Earth system. A multi-disciplinary approach is encouraged that broadens the hydrological perspective and the advancement of hydrological science through integration with other cognate sciences and cross-fertilization across disciplinary boundaries.
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