Duanyang Ji , Qiang Dai , Chenyue Sun , Jingxuan Zhu , Yuanyuan Xiao , Jun Zhang , Xiaoying Lai
{"title":"重塑全球降雨侵蚀率:2015 - 2022年降水相位校正研究","authors":"Duanyang Ji , Qiang Dai , Chenyue Sun , Jingxuan Zhu , Yuanyuan Xiao , Jun Zhang , Xiaoying Lai","doi":"10.1016/j.jhydrol.2025.133271","DOIUrl":null,"url":null,"abstract":"<div><div>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<sup>−1</sup>·yr<sup>−1</sup> to 5.0 MJ·ha<sup>−1</sup>·yr<sup>−1</sup>, 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.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"659 ","pages":"Article 133271"},"PeriodicalIF":6.3000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reshaping global rainfall erosivity rates: A study on precipitation phase correction from 2015 to 2022\",\"authors\":\"Duanyang Ji , Qiang Dai , Chenyue Sun , Jingxuan Zhu , Yuanyuan Xiao , Jun Zhang , Xiaoying Lai\",\"doi\":\"10.1016/j.jhydrol.2025.133271\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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<sup>−1</sup>·yr<sup>−1</sup> to 5.0 MJ·ha<sup>−1</sup>·yr<sup>−1</sup>, 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.</div></div>\",\"PeriodicalId\":362,\"journal\":{\"name\":\"Journal of Hydrology\",\"volume\":\"659 \",\"pages\":\"Article 133271\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2025-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Hydrology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022169425006092\",\"RegionNum\":1,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022169425006092","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
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.
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.