{"title":"模拟土壤性质、降雨和道路几何形状对未铺设道路侵蚀的影响","authors":"Esdras Ngezahayo, G. Ghataora, Michael Burrow","doi":"10.11159/IJCI.2021.015","DOIUrl":null,"url":null,"abstract":"Erosion of soils seriously challenges the sustainability and safety in unpaved roads. It leads to faster deterioration of these roads by formation of rills and gullies in the running surface. Many factors related to the soil properties, rainfall parameters, and road geometry affect erodibility of soils at the surface of unpaved roads. However, little is known about the relationships between those factors of erodibility for a single rainfall event. This paper models the contributions of soil properties, intensity and duration of the rainfall, and road’s length and gradient to the quantity of eroded soils from unpaved roads. For a 30-minute duration and two consecutive days; rainfall intensities of 30 mm/hr, 51 mm/hr and 68 mm/hr were used to test the erodibility of soils. The tested bed surfaces were set at slopes of 0% and 6%, in a small (large)-scale testing box of 0.6 m (1.2 m) x 0.3 m x 0.17 m (length x width x height). RapidMiner Studio software was used to predict quantities of eroded soils based on the measured eroded soils under the same influencing factors of erodibility. Six predictive models were developed based on the firstand second-day rainfall events. The predictive models can perform well with the Nash and Sutcliffe’s coefficients of efficiency (ME) ranging from 0.62 to 0.74. Also, clay content and mean particle size of the surface soils, rainfall intensity and slope gradient were the most contributing factors to the quantity of eroded soils from unpaved roads.","PeriodicalId":371508,"journal":{"name":"International Journal of Civil Infrastructure","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Modelling the Effects of Soil Properties, Rainfall and Road Geometry to Erosion in Unpaved Roads\",\"authors\":\"Esdras Ngezahayo, G. Ghataora, Michael Burrow\",\"doi\":\"10.11159/IJCI.2021.015\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Erosion of soils seriously challenges the sustainability and safety in unpaved roads. It leads to faster deterioration of these roads by formation of rills and gullies in the running surface. Many factors related to the soil properties, rainfall parameters, and road geometry affect erodibility of soils at the surface of unpaved roads. However, little is known about the relationships between those factors of erodibility for a single rainfall event. This paper models the contributions of soil properties, intensity and duration of the rainfall, and road’s length and gradient to the quantity of eroded soils from unpaved roads. For a 30-minute duration and two consecutive days; rainfall intensities of 30 mm/hr, 51 mm/hr and 68 mm/hr were used to test the erodibility of soils. The tested bed surfaces were set at slopes of 0% and 6%, in a small (large)-scale testing box of 0.6 m (1.2 m) x 0.3 m x 0.17 m (length x width x height). RapidMiner Studio software was used to predict quantities of eroded soils based on the measured eroded soils under the same influencing factors of erodibility. Six predictive models were developed based on the firstand second-day rainfall events. The predictive models can perform well with the Nash and Sutcliffe’s coefficients of efficiency (ME) ranging from 0.62 to 0.74. Also, clay content and mean particle size of the surface soils, rainfall intensity and slope gradient were the most contributing factors to the quantity of eroded soils from unpaved roads.\",\"PeriodicalId\":371508,\"journal\":{\"name\":\"International Journal of Civil Infrastructure\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Civil Infrastructure\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11159/IJCI.2021.015\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Civil Infrastructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11159/IJCI.2021.015","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
土壤侵蚀严重挑战了未铺设道路的可持续性和安全性。由于在跑道表面形成了小溪和沟壑,导致这些道路更快地恶化。与土壤性质、降雨参数和道路几何形状有关的许多因素影响着未铺设道路表面土壤的可蚀性。然而,对于单一降雨事件中这些可蚀性因素之间的关系知之甚少。本文模拟了土壤性质、降雨强度和持续时间、道路长度和坡度对非铺装道路侵蚀土壤数量的贡献。持续30分钟,连续两天;降雨强度分别为30 mm/hr、51 mm/hr和68 mm/hr,测定了土壤的可蚀性。试验床面设置为0%和6%的坡度,在0.6 m (1.2 m) x 0.3 m x 0.17 m(长x宽x高)的小(大)尺度试验箱中。利用RapidMiner Studio软件,在相同可蚀性影响因素下,根据实测的侵蚀土进行侵蚀土数量预测。建立了6个基于首日和次日降水事件的预测模型。预测模型的Nash和Sutcliffe效率系数(ME)在0.62 ~ 0.74之间,具有较好的预测效果。此外,土壤层粘土含量、平均粒径、降雨强度和坡度是影响土壤层侵蚀量的主要因素。
Modelling the Effects of Soil Properties, Rainfall and Road Geometry to Erosion in Unpaved Roads
Erosion of soils seriously challenges the sustainability and safety in unpaved roads. It leads to faster deterioration of these roads by formation of rills and gullies in the running surface. Many factors related to the soil properties, rainfall parameters, and road geometry affect erodibility of soils at the surface of unpaved roads. However, little is known about the relationships between those factors of erodibility for a single rainfall event. This paper models the contributions of soil properties, intensity and duration of the rainfall, and road’s length and gradient to the quantity of eroded soils from unpaved roads. For a 30-minute duration and two consecutive days; rainfall intensities of 30 mm/hr, 51 mm/hr and 68 mm/hr were used to test the erodibility of soils. The tested bed surfaces were set at slopes of 0% and 6%, in a small (large)-scale testing box of 0.6 m (1.2 m) x 0.3 m x 0.17 m (length x width x height). RapidMiner Studio software was used to predict quantities of eroded soils based on the measured eroded soils under the same influencing factors of erodibility. Six predictive models were developed based on the firstand second-day rainfall events. The predictive models can perform well with the Nash and Sutcliffe’s coefficients of efficiency (ME) ranging from 0.62 to 0.74. Also, clay content and mean particle size of the surface soils, rainfall intensity and slope gradient were the most contributing factors to the quantity of eroded soils from unpaved roads.