PDF Download

[1]RAN Tao,DENG Wei.Spatial Differentiation of Soil Erosion Sensitivity in Ecologically Vulnerable Areas[J].Research of Soil and Water Conservation,2017,24(04):182-186,190.

Copy

Spatial Differentiation of Soil Erosion Sensitivity in Ecologically Vulnerable Areas

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 24 Number of periods: 2017 04 Page number: 182-186,190 Column: Public date: 2017-08-28

Title:: Spatial Differentiation of Soil Erosion Sensitivity in Ecologically Vulnerable Areas

Author(s):: RAN Tao¹, DENG Wei^1,2; 1. Chongqing Academy of Environmental Science, Chongqing 401147, China;
2. State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing 400044, China

Keywords:: GIS; soil erosion sensitivity; spatial differentiation; Yulin City

CLC:: X171

DOI:: -

Abstract:: Yulin City, which is located in the transition zone sandwiched between Mu Us Desert and Plateau hilly-gully region, is not only a typical ecologically vulnerable area in agro-pastoral transitional zone of North China, but also a key ecological function protection area with soil conservation and sand fixation in China. Affected by aeolian landform, arid climate, sparse vegetation and high-strength land use during recent years, soil erosion has become the main ecological disaster in Yulin. Soil erosion seriously restricts human survival and socio-economy sustainable development of the region. So many scholars have paid much attention to the soil erosion problems in the study area. Based on the Universal Soil Loss Equation theory and GIS spatial analysis function, three natural factors (precipitation, terrain and soil factors) affecting soil erosion, and other three artificial parameters (biological measures, agricultural measures and socio-economic measures factors) were collected as the evaluation indexes to make the assessment equations. Then assessment of each factor was produced and an integrated soil erosion sensitivity evaluation was examined by using GIS. Furthermore, distribution characteristics and spatial difference of sensitivity of soil erosion in the study area were also analyzed. The sensitivity of the influences was classified into four degrees. The result demonstrates that moderate sensitive is the main type of soil sensitivities in the Yulin, followed by slight sensitive and strong sensitive distribute, and the area proportion with non-sensitivity is very small. Based on the overall distribution patterns, the general trend of soil erosion sensitivity descends from the southern loess hilly-gully areas to the northern sandy marsh areas. The strong soil erosion sensitivities mainly distribute in the south of Jingbian and Dingbian Counties, the Yellow River coast area in the eastern and the part areas of six counties in the south. The evaluation results of improved soil erosion sensitivities equation were found to be consistent with the previous studies for Yulin. It fully illustrates that biological measures, agricultural measures and socio-economic measures also have the great impacts on soil erosion and human activities are the inducement of soil erosion. Especially two indicators, population density and unit land area GDP introduce into assessment could reflect the impact on soil erosion by human activities more accuracy. Therefore, irrational land use should be changed, water and soil loss prevention should be strengthened and cured urgently, and partition management for different sensitive areas should be implemented so as to prevent soil erosion aggravation. Strong sensitivity area should be delimited as the priority area for soil erosion prevention and ecological restore. While moderate sensitivity is mainly located in the area of active social and economic activities, excessive and frequent human activities causing surface environmental damage to new disaster must be avoided. Light and non-sensitivity area mainly distribute in the northern sand mars areas with the flat terrain and the abundant irrigated agriculture. Therefore, prevention awareness should be strengthened and unreasonable construction causing soil erosion should be restricted. Because light and non-sensitivity just existe in the form of relativity, irrational human activities will bring a series of ecological problems.

References:: [1] 杨强.基于遥感的榆林地区生态脆弱性研究[D].南京:南京大学,2012.
[2] 王晓峰.基于GIS和RS榆林地区生态安全动态综合评价[D].西安:陕西师范大学,2007.
[3] 刘晓琼,刘彦随.基于AHP的生态脆弱区可持续发展评价研究:以陕西省榆林市为例[J].干旱区资源与环境,2009,23(5):19-23.
[4] 卓静,郭伟,邓凤东,等.基于GIS/RS的榆林市土地利用时空格局动态分析[J].水土保持通报,2013,33(1):271-274.
[5] 贾文錦,朱全有,陈有治,等.榆林专区的土壤侵蚀及其防治(二)[J].土壤通报,1961(2):5-9.
[6] 郝慧梅,任志远.区域LUCC的土壤侵蚀响应研究:以榆林市为例[J].干旱区研究,2008,25(4):583-591.
[7] 李奎,岳大鹏,刘鹏,等.基于GIS与RUSLE的榆林市土壤侵蚀空间分布研究[J].水土保持通报,2014,34(6):172-178,371.
[8] 李柏延,任志远,易浪.2001-2010年榆林市土壤侵蚀动态变化趋势[J].干旱区研究,2015,32(5):918-925.
[9] 陈燕红,潘文斌,蔡芫镔.基于RUSLE的流域土壤侵蚀敏感性评价:以福建省吉溪流域为例[J].山地学报,2007,25(4):490-496.
[10] 王小丹,钟祥浩,范建容.西藏水土流失敏感性评价及其空间分异规律[J].地理学报,2004,59(2):183-188.
[11] 曾旭婧,张毅,黄素萍,等.定量遥感支持下的岷江上游土壤侵蚀敏感性评价[J].土壤通报,2014(4):953-960.
[12] 程先富,余芬.安徽省土壤侵蚀空间分布及其与环境因子的关系[J].地理研究,2010,29(8):1461-1470.
[13] 刘斌涛,陶和平,宋春风,等.1960-2009年中国降雨侵蚀力的时空变化趋势[J].地理研究,2013,32(2):245-256.
[14] 王万中,张宪奎.中国降雨侵蚀力R值的计算与分布(I)[J].水土保持学报,1995,9(4):7-18.
[15] 殷水清,谢云.黄土高原降雨侵蚀力时空分布[J].水土保持通报,2005,25(4):29-33.
[16] 李静,刘志红,李锐.黄土高原不同地貌类型区降雨侵蚀力时空特征研究[J].水土保持通报,2008,28(3):124-127.
[17] 程琳,杨勤科,谢红霞,等.基于GIS和CSLE的陕西省土壤侵蚀定量评价方法研究[J].水土保持学报,2009,23(5):61-66.
[18] 张科利,彭文英,杨红丽.中国土壤可蚀性值及其估算[J].土壤学报,2007,44(1):7-13.
[19] 李月臣,刘春霞,赵纯勇,等.三峡库区(重庆段)土壤侵蚀敏感性评价及其空间分异特征[J].生态学报,2009,29(2):788-796.
[20] 张科利,蔡永明,刘宝元,等.黄土高原地区土壤可蚀性及其应用研究[J].生态学报,2001,21(10):1687-1695.

Similar References:

Memo

Last Update: 1900-01-01