Spatial and temporal dynamics and identification of hotspots of soil erosion in China

Authors: Jialei Li*, , Sun Ranhao, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences
Topics: Geographic Information Science and Systems
Keywords: Soil erosion, RUSLE model, GIS
Session Type: Poster
Day: 4/4/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Lincoln 2, Marriott, Exhibition Level
Presentation File: Download


China is one of the countries with serious soil erosion, which has become one of the important factors restricting the sustainable development of China's economy and society. Based on the GIS platform, this study uses the RUSLE model to quantify the water erosion in China from 2000 to 2015. Compared with previous studies which use RUSLE model in China, we choose the appropriate algorithm to calculate R, C and P factors in RUSLE model and introduce updated, high-resolution input data to improve the quality of estimation. The results show that the mean soil erosion in China was 45.35 t/ha·a-1 in 2000, 47.73 t/ha·a-1 in 2005, 52.32 t/ha·a-1 in 2010 and 46.80 t/ha·a-1 in 2015. Although soil erosion has increased in China since 2000, it has declined in recent years as a result of a series of national protection measures. The main erosion hotspots are located in hilly area of southern China and Loess Plateau. Because only considering water erosion in this model, the soil erosion in northwest China is underestimated and in southern hilly areas soil erosion is overestimated. This study can provide reference for the subsequent quantitative calculation of soil erosion in large-scale.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login