Journal of Food, Agriculture and Environment




Vol 11, Issue 2,2013
Online ISSN: 1459-0263
Print ISSN: 1459-0255


Modeling of soil and water loss process at regional scale based on GIS


Author(s):

Zhihong Yao 1, Hongming Zang 2, Qinke Yang 3*, Rui Li 4

Recieved Date: 2013-02-02, Accepted Date: 2013-04-20

Abstract:

Study of the dynamic process of soil and water loss at regional scale was of great importance to understand the effects of soil erosion on environmental factors and the relationship between global change and regional soil erosion. The objectives of this study were to develop a GIS-based model for simulating soil and water loss process at a regional scale. Processes incorporated in the model are rainfall, interception, surface storage in micro-depressions, infiltration, overland flow, runoff, transport capacity of the flow, detachment by runoff, deposition and accumulation and transmission of runoff and sediment. A set of algorithms for cell models were designed, with which the related process of runoff, erosion and sediment yield were calculated. The model was applied in Yanhe River basin and regional soil and water loess process was simulated. The results showed that all of the modules designed can function well. The output maps could characterize the soil erosion in Yanhe River properly; the spatial pattern and structure depicted by the map were accordant with the practical situation. The soil erosion in Yanhe River was mainly influenced by land using and climatic factors at macro scale, and by terrain micro relief at micro scale. The simulation results were comparatively accordant with the practical situation. It shows that the estimated result can be used to assess soil and water loss process at a regional scale for the decision making of erosion control and sediment treatment. 

Keywords:

Regional soil and water loss, runoff, erosion and sediment yield, algorithms, GIS


Journal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 2
Category: Environment
Pages: 1169-1173


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