重塑全球降雨侵蚀率:2015 - 2022年降水相位校正研究

IF 6.3 1区 地球科学 Q1 ENGINEERING, CIVIL
Duanyang Ji , Qiang Dai , Chenyue Sun , Jingxuan Zhu , Yuanyuan Xiao , Jun Zhang , Xiaoying Lai
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引用次数: 0

摘要

降水动能(PKE)是降水侵蚀力的驱动因子,用于量化降雨对土壤颗粒的冲刷能力。传统的方法往往忽略了相的区别,错误地将降水能量单独归因于液相,特别是在将降雪错误地分类为降雨时。本研究开发了网格化、单位面积、单位时间降水强度(KE-I)的多相(即降雨和降雪)动能数据集,实现了2015 - 2022年全球多相降水动能(PKE)和降雨侵蚀力因子(R)的精细估算。结果表明,传统方法往往会高估降雪能量,而网格化的多相KE-I数据集具有更好的拟合效果,提高了PKE估计的精度。这种改进修正了以前夸大的降雪能量估计,将其从62.7 MJ·ha - 1·yr - 1减少到5.0 MJ·ha - 1·yr - 1,将R的平均年误差减少了21.1%,在雪相贡献占主导地位的地区,改进尤其显著。该研究为多相PKE计算提供了一个全面而准确的框架,解决了传统方法中的关键空白,并为未来与降水相关的侵蚀力研究奠定了更可靠的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reshaping global rainfall erosivity rates: A study on precipitation phase correction from 2015 to 2022
Precipitation kinetic energy (PKE) is a driving factor of precipitation erosivity, quantifying the capacity for rainfall to dislodge soil particles. Traditional methods often overlook phase distinctions, mistakenly attributing precipitation energy to liquid phase alone, particularly evident in misclassifying snowfall as rainfall. This study develops gridded, multiphase (i.e., rainfall and snowfall) kinetic energy per unit area per unit time-precipitation intensity (KE-I) datasets, enabling refined estimations of global multiphase precipitation kinetic energy (PKE) and rainfall erosivity factor (R) from 2015 to 2022. Results indicate that traditional methods tend to overestimate snowfall energy, whereas the gridded multiphase KE-I datasets demonstrate a better fit, enhancing the accuracy of PKE estimations. This refinement corrects the previously inflated estimates of snowfall energy, reducing it by tenfold from 62.7 MJ·ha−1·yr−1 to 5.0 MJ·ha−1·yr−1, and reduces the average annual error in R by 21.1%, with particularly notable improvements in regions where snow-phase contributions dominate. This study provides a comprehensive and accurate framework for multiphase PKE calculation, addressing critical gaps in traditional methodologies and establishing a more reliable foundation for future precipitation-related erosivity research.
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来源期刊
Journal of Hydrology
Journal of Hydrology 地学-地球科学综合
CiteScore
11.00
自引率
12.50%
发文量
1309
审稿时长
7.5 months
期刊介绍: The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.
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