title: Mathematical model of sediment and solute transport along slope land in different rainfall pattern conditions.
abstract: Rainfall erosion is a major cause of inducing soil degradation, and rainfall patterns have a significant influence on the process of sediment yield and nutrient loss. The mathematical models developed in this study were used to simulate the sediment and nutrient loss in surface runoff. Four rainfall patterns, each with a different rainfall intensity variation, were applied during the simulated rainfall experiments. These patterns were designated as: uniform-type, increasing-type, increasing- decreasing -type and decreasing-type. The results revealed that changes in the rainfall intensity can have an appreciable impact on the process of runoff generation, but only a slight effect on the total amount of runoff generated. Variations in the rainfall intensity in a rainfall event not only had a significant effect on the process of sediment yield and nutrient loss, but also the total amount of sediment and nutrient produced, and early high rainfall intensity may lead to the most severe erosion and nutrient loss. In this study, the calculated data concur with the measured values. The model can be used to predict the process of surface runoff, sediment transport and nutrient loss associated with different rainfall patterns.
authors.affiliation: State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area (Xi'an University of Technology), Xi'an, 710048, China.
authors.forename: Wanghai
authors.initials: W
authors.lastname: Tao
authors.affiliation: State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area (Xi'an University of Technology), Xi'an, 710048, China.
authors.forename: Junhu
authors.initials: J
authors.lastname: Wu
authors.affiliation: State Key Laboratory Base of Eco-hydraulic Engineering in Arid Area (Xi'an University of Technology), Xi'an, 710048, China.|State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Xi'an, 712100, China.
authors.forename: Quanjiu
authors.initials: Q
authors.lastname: Wang