Monitoring And Prediction Of Soil Erosion Based On RUSLE And CA-Markov

As a very important natural resource,soil largely supports the world economy.However,as a global environmental problem,soil erosion seriously affects the survival and development of human beings.As one of the countries with the most serious soil erosion in the world,China's ecological environment and social economy are deeply affected by it.Changting County is a typical example of soil erosion disaster in the red soil distribution zone of South China.It is necessary to make full use of remote sensing and GIS technology to dynamically monitor and analyze the soil erosion in Changting County and predict its development trend,which is of great significance to the local economic development and ecological environmental protection.This article relies on the remote sensing investigation project of the new mine restoration and control area in the northeast of the Yangtze platform,selected Changting County,Fujian Province as the research area,based on The Universal Soil Loss Equation(RUSLE),and selected the algorithm of each factor.The soil erosion modulus of the three periods of2002,2010 and 2018 in the research area is estimated,and the soil erosion in the research area during this period is also estimated.On this basis,the CA-Markov model is used to predict and analyze the evolution trend of soil erosion in Changting County,Fujian Province.The conclusions are as follows:(1)Apply the RUSLE model to quantitatively estimate the soil erosion in 2002,2010 and 2018 in Changting County,and then classify the soil erosion grade into six grades,and the distribution of soil erosion intensity in different years is obtained.The soil erosion in Changting County is mainly distributed in the hilly areas on the banks of the Tingjiang River in the central part and the southeast.The soil erosion in the north has improved significantly in 2018.The soil erosion grade is mainly micro erosion,followed by light erosion.The areas of strong erosion and extremely strong erosion is relatively small,and the proportion of severe erosion is the smallest.(2)Comprehensive analysis of the soil erosion in the third stage of Changting County,combined with the administrative boundaries of towns in the study area,found that the soil erosion in 2010 is not significantly improved compared with that in2002,and the soil erosion in 2018 is better than that in the first two stages.The overall situation of soil erosion has been greatly improved,while a small number of areas have also been intensified.From the perspective of each township,the areas with serious soil erosion are mainly in Hetian Town,Sanzhou Town,Tingzhou Town,Nanshan Town and Cewu town.(3)According to the CA Markov model,the soil erosion intensity in the study area in 2026 is still dominated by micro erosion.The area of strong erosion and extremely strong erosion is quite small,and the area of severe erosion is the smallest.Compared with 2018,the area of micro erosion and light erosion is increased,and the other erosion grades are reduced.It is predicted that the soil erosion in the study area will continue to develop in a good direction by 2026.