Determination of a Mathematical Model of Erosion Taking into Account the Intensity of Rainfall and Soil Slopes from the Global MNT Model

作     者：Eric Flavien Mbiakouo-Djomo Timothée Thierry Odi-Enyegue André Abanda Gilbert Tchemou Ulrich Florin Djiofack-Tiagho Denis Tcheukam-Toko Ngouffo Koukougnang Réné Didier Fokwa Ebénézer Njeugna Eric Flavien Mbiakouo-Djomo;Timothée Thierry Odi-Enyegue;André Abanda;Gilbert Tchemou;Ulrich Florin Djiofack-Tiagho;Denis Tcheukam-Toko;Ngouffo Koukougnang Réné;Didier Fokwa;Ebénézer Njeugna

作者机构：Department of Rural Engineering FASA University of Dschang Dschang Cameroon Department of Civil Engineering ENSPD University of Douala Douala Cameroon Department of Mechanical Engineering College of Technology University of Buea Buea Cameroon Department of Civil Engineering ENSET Douala Cameroon Laboratory of Mechanics and Modeling of Physical Systems University of Dschang Dschang Cameroon 

出 版 物：《Engineering（科研）》 (工程（英文）（1947-3931）)

年 卷 期：2022年第14卷第7期

页      面：274-284页

学科分类：09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学] 

主　　题：Erosion Erosion Potential Mathematical Model Rainfall Intensity Soil Slope 

摘      要：Our study is being carried out in the Wouri Estuary more precisely in the Nylon area, Douala. This area is influenced by abundant rainfall which promotes the phenomenon of rain erosion. This erosion contributes to the degradation of structures and soils. To better understand and predict this phenomenon of rainfall erosion, we set out to establish a mathematical model that takes into account precipitation and topography. To this end, the data collected in the field and in the laboratory made it possible. First, we graphically modeled the variation of the potential as a function of the intensity of rainfall and the slope of the ground. Next, we identified a mathematical model from cubic spline surface interpolation. Finally, we obtained the mathematical model which makes it possible to evaluate and predict the erosion potential. The results obtained allowed to have an erosion potential of 153.67 t/ha/year with field data and 153.94 t/ha/year with laboratory data. We compared the results obtained with those existing in the literature on the same study site. This comparison made it possible to validate the established mathematical model. This mathematical model is a decision support tool and can predict problems related to water, erosion and the environment.