Arid Zone Research ›› 2015, Vol. 32 ›› Issue (5): 918-925.doi: 10.13866/j.azr.2015.05.13

• Soil and Soil Conservation • Previous Articles     Next Articles

Study on Changing Trend of Soil Erosion in Yulin City from 2001 to 2010

LI Bo-yan, REN Zhi-yuan, YI Lang   

  1. College of Tourism and Environmental Sciences, Shaanxi Normal University, Xi’an 710062, Shaanxi, China
  • Received:2014-01-15 Revised:2014-05-12 Online:2015-09-15 Published:2015-10-14

Abstract: With the development of global social economy,the unreasonable development and utilization of natural resources of human lead to serious soil erosion and soil erosion has become one of the world's focus on environmental issues. Soil erosion plays an important role in soil water conservation,desertification control,is of the great significance in regional soil and water resources development,protection and utilization. Using the universal soil loss equation as the tool,by the grid technology,spatial interpolation and analysis,linear regression techniques,we conduct sample,reclassification,and spatial statistical analysis of raster data; analyze soil erosion dynamic changes and its distribution of Yulin city for 10 years,and predict soil erosion trend in future. Research shows that: ① The soil erosion average module is generally smooth in Yulin city from 2001 to 2010,but there are jumpy inflection points in 2003 and 2009,the minimum value in 2003 and the maximum value in 2009; ② The total soil erosion area is increasing year by year in Yulin City,the mild,moderate soil erosion area proportion in increasing,especially the moderate erosion above percent 21.68 of the total area,the light soil erosion area accounting for percent 37.91 of the total area;③ The soil erosion of industrial land and energy development zone is more serious; ④ In the next few years soil erosion would mainly occur in most parts of Fugu,in the central part of Shenmu and Dingbian,part of energy zone and its surrounding,etc.Through the calculation of the amount of soil erosion,the soil erosion prediction will provide the scientific basis and decision support for the prevention and protection of soil and water loss.

Key words: soil erosion, erosion modules, erosion area, dynamic change, prediction, Yulin city