Marco Polo A. Ibañez , Generich H. Capuli , Alvin G. Pura , Marcelino Q. Villafuerte II
{"title":"利用雨滴大小分布(DSD)测量在黎刹省塔内山区建立土壤侵蚀研究的动能-降雨强度(KE-I)关系","authors":"Marco Polo A. Ibañez , Generich H. Capuli , Alvin G. Pura , Marcelino Q. Villafuerte II","doi":"10.1016/j.geomorph.2025.109968","DOIUrl":null,"url":null,"abstract":"<div><div>Rainfall kinetic energy (<em>KE</em>) is an important parameter in soil erosion modeling, yet direct measurements are rare in meteorological observations. To improve <em>KE</em> estimation, this study develops kinetic energy–rainfall intensity (<em>KE–I</em>) relations using raindrop size distribution (DSD) and rainfall intensity measurements from an OTT Parsivel<sup>2</sup> disdrometer deployed in the mountainous region of Tanay, Rizal, Philippines. A total of 41 rainfall events, recorded between 30 January 2023 and 31 December 2024, were analyzed to derive <em>KE-I</em> relations for two rainfall erosivity indicators: kinetic energy expenditure (<em>KE</em><sub><em>exp</em></sub>, J m<sup>−2</sup> h<sup>−1</sup>) and kinetic energy content (<em>KE</em><sub><em>con</em></sub>, J m⁻<sup>2</sup> mm⁻<sup>1</sup>). The results show that a power-law model effectively describes the <em>KE</em><sub><em>exp</em></sub><em>–I</em> relation, and an exponential model provides the best fit for the <em>KE</em><sub><em>con</em></sub><em>–I</em> relation. <em>KE</em><sub><em>con</em></sub> generally increases with rainfall intensity, but greater variability was observed during low-intensity events. The <em>KE</em><sub><em>con</em></sub> model performed better for high rainfall intensity events, with accuracy improving by 26.4 % after excluding rainfall rates <1.7 mm h<sup>−1</sup>. Additionally, the results also revealed that variations in rainfall microphysics across different rainfall regimes significantly influence the <em>KE-I</em> relationships. The maximum observed <em>KE</em><sub><em>con</em></sub> in this study is found to be within the range of the global average values (28.3 ± 2.9 J m<sup>−2</sup> mm<sup>−1</sup>), but differs from other regions like Cebu, Taiwan, and Hong Kong due to differences in rainfall microphysics, meteorological conditions, and experimental setup. These findings highlight the importance of developing localized <em>KE-I</em> models to achieve more accurate rainfall <em>KE</em> estimates essential for soil erosion studies and hydrological applications.</div></div>","PeriodicalId":55115,"journal":{"name":"Geomorphology","volume":"488 ","pages":"Article 109968"},"PeriodicalIF":3.1000,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishment of kinetic energy – Rainfall intensity (KE-I) relationships for soil erosion studies using raindrop size distribution (DSD) measurements in the mountainous region of Tanay, Rizal\",\"authors\":\"Marco Polo A. Ibañez , Generich H. Capuli , Alvin G. Pura , Marcelino Q. Villafuerte II\",\"doi\":\"10.1016/j.geomorph.2025.109968\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Rainfall kinetic energy (<em>KE</em>) is an important parameter in soil erosion modeling, yet direct measurements are rare in meteorological observations. To improve <em>KE</em> estimation, this study develops kinetic energy–rainfall intensity (<em>KE–I</em>) relations using raindrop size distribution (DSD) and rainfall intensity measurements from an OTT Parsivel<sup>2</sup> disdrometer deployed in the mountainous region of Tanay, Rizal, Philippines. A total of 41 rainfall events, recorded between 30 January 2023 and 31 December 2024, were analyzed to derive <em>KE-I</em> relations for two rainfall erosivity indicators: kinetic energy expenditure (<em>KE</em><sub><em>exp</em></sub>, J m<sup>−2</sup> h<sup>−1</sup>) and kinetic energy content (<em>KE</em><sub><em>con</em></sub>, J m⁻<sup>2</sup> mm⁻<sup>1</sup>). The results show that a power-law model effectively describes the <em>KE</em><sub><em>exp</em></sub><em>–I</em> relation, and an exponential model provides the best fit for the <em>KE</em><sub><em>con</em></sub><em>–I</em> relation. <em>KE</em><sub><em>con</em></sub> generally increases with rainfall intensity, but greater variability was observed during low-intensity events. The <em>KE</em><sub><em>con</em></sub> model performed better for high rainfall intensity events, with accuracy improving by 26.4 % after excluding rainfall rates <1.7 mm h<sup>−1</sup>. Additionally, the results also revealed that variations in rainfall microphysics across different rainfall regimes significantly influence the <em>KE-I</em> relationships. The maximum observed <em>KE</em><sub><em>con</em></sub> in this study is found to be within the range of the global average values (28.3 ± 2.9 J m<sup>−2</sup> mm<sup>−1</sup>), but differs from other regions like Cebu, Taiwan, and Hong Kong due to differences in rainfall microphysics, meteorological conditions, and experimental setup. These findings highlight the importance of developing localized <em>KE-I</em> models to achieve more accurate rainfall <em>KE</em> estimates essential for soil erosion studies and hydrological applications.</div></div>\",\"PeriodicalId\":55115,\"journal\":{\"name\":\"Geomorphology\",\"volume\":\"488 \",\"pages\":\"Article 109968\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-08-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geomorphology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0169555X25003782\",\"RegionNum\":2,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geomorphology","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0169555X25003782","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
Establishment of kinetic energy – Rainfall intensity (KE-I) relationships for soil erosion studies using raindrop size distribution (DSD) measurements in the mountainous region of Tanay, Rizal
Rainfall kinetic energy (KE) is an important parameter in soil erosion modeling, yet direct measurements are rare in meteorological observations. To improve KE estimation, this study develops kinetic energy–rainfall intensity (KE–I) relations using raindrop size distribution (DSD) and rainfall intensity measurements from an OTT Parsivel2 disdrometer deployed in the mountainous region of Tanay, Rizal, Philippines. A total of 41 rainfall events, recorded between 30 January 2023 and 31 December 2024, were analyzed to derive KE-I relations for two rainfall erosivity indicators: kinetic energy expenditure (KEexp, J m−2 h−1) and kinetic energy content (KEcon, J m⁻2 mm⁻1). The results show that a power-law model effectively describes the KEexp–I relation, and an exponential model provides the best fit for the KEcon–I relation. KEcon generally increases with rainfall intensity, but greater variability was observed during low-intensity events. The KEcon model performed better for high rainfall intensity events, with accuracy improving by 26.4 % after excluding rainfall rates <1.7 mm h−1. Additionally, the results also revealed that variations in rainfall microphysics across different rainfall regimes significantly influence the KE-I relationships. The maximum observed KEcon in this study is found to be within the range of the global average values (28.3 ± 2.9 J m−2 mm−1), but differs from other regions like Cebu, Taiwan, and Hong Kong due to differences in rainfall microphysics, meteorological conditions, and experimental setup. These findings highlight the importance of developing localized KE-I models to achieve more accurate rainfall KE estimates essential for soil erosion studies and hydrological applications.
期刊介绍:
Our journal''s scope includes geomorphic themes of: tectonics and regional structure; glacial processes and landforms; fluvial sequences, Quaternary environmental change and dating; fluvial processes and landforms; mass movement, slopes and periglacial processes; hillslopes and soil erosion; weathering, karst and soils; aeolian processes and landforms, coastal dunes and arid environments; coastal and marine processes, estuaries and lakes; modelling, theoretical and quantitative geomorphology; DEM, GIS and remote sensing methods and applications; hazards, applied and planetary geomorphology; and volcanics.