This paper chose the Ebinur lake region as the study area, and used the Landsat TM remote sensing data in 2007 and support vector machine (SVM) to classify land use types and saline soils. Then, we used the ArcGIS to calculate sensitivity index of soil salinization and built the sensitivity model of regional soil salinization by using sensitivity index of soil salinization and proportion of different land use types. We also used the Ordinary Kriging to get a spatial distribution map of sensitivity degree of regional soil salinization. The following results are obtained. (1) The sensitivity index of soil salinization for different types of land use: unused land > urban and rural construction sites>water>grassland>forest land>farmland. (2) Extremely sensitive lands are mainly distributed in the northwest and the southeast of the Ebinur lake swampland and part of the Ebinur Lake Wetland Nature Reserve. Highly sensitive lands are distributed around the Ebinur Lake and the northeastern and southeastern parts of the desert near the edge of the Ebinur Lake, and most of these areas are unused with the extremely sparse vegetation cover. Moderately sensitive lands are mainly distributed in the Ebinur Lake surface, oasis - desert ecotone and unused areas land of the inner oasis with mostly sparse grasses and unused lands. Slightly sensitive lands are distributed near the lake center and the transitional zone between the oasis and the Ebinur Lake, which is a transitional zone between the soil salinization sensitive areas and non-sensitive areas. The rests of the study areas, which are mainly distributed on the west side of the inner oasis of the Ebinur Lake, are not sensitive in general.
WANG Hong, TASHPOLAT Tiyip, XIE Xia, FAN Yahui, ZHANG Fei, MAMAT Sawut
. Assessment of Soil Salinization Sensitivity for Different Types of Land Use in the Ebinur Lake Region in Xinjiang[J]. PROGRESS IN GEOGRAPHY, 2011
, 30(5)
: 593
-599
.
DOI: 10.11820/dlkxjz.2011.05.011
[1] 张飞, 塔西甫拉提.特依拜, 丁建丽, 等. 干旱区土壤盐渍化及其对生态环境的损害评估: 以新疆沙雅县为例. 自然灾害学报, 2009, 18(4): 55-62.
[2] 马传明, 靳孟贵. 西北地区盐渍化土地开发中存在问题及防治对策. 水文, 2007, 27(1): 78-81.
[3] 刘春卿, 杨劲松, 陈小兵, 等. 滴灌流量对土壤水盐运移及再分布的作用规律研究. 土壤学报, 2007, 44(6):1016-1021.
[4] 刘强, 何岩, 邓伟, 等. 变化环境中土壤盐渍化过程研究:以洮儿河中下游地区为例. 干旱区资源与环境, 2005,11(6): 113-117.
[5] 刘金荣, 谢晓蓉, 金自学, 等. 河西走廊干旱荒漠区盐碱化土地修复与调控研究: 以黑河灌区为例. 中国地质灾害与防治学报, 2005, 16(3): 79-89.
[6] 塔西买买提·阿布拉. 新疆艾比湖湿地自然保护区建设及效益分析. 干旱环境监测, 2007, 21(6): 114-115.
[7] 刘月兰. 新疆艾比湖干缩的生态响应. 资源调查与环境, 2008, 29(3): 128-129.
[8] 江红南, 丁建丽, 塔西甫拉提·特依拜, 等. 基于ETM +数据的干旱区盐渍化土壤信息提取研究. 土壤学报,2008, 45(2): 222-228.
[9] Chazal J D, Quetier F, Lavorel S. Including multiple differingstakeholder values into vulnerability assessmentsof socio-ecological systems. Global Environmentalchange, 2008, 18(3): 508-520.
[10] 万忠成, 王治江, 董丽新, 等. 辽宁省生态系统敏感性评价. 生态学杂志, 2006, 25(6): 677-681.
[11] Brandley M P, Smith E R. Using science to assess environmentalvulnerabilities. Environmental Monitoring andAssessment, 2004, 94: 1-7.
[12] 於琍, 曹明奎, 李克让. 全球气候变化背景下生态系统的脆弱性评价. 地理科学进展, 2005, 24(1): 61-69.
[13] 邱彭华, 徐颂军, 谢跟踪, 等. 基于景观格局和生态敏感性的海南西部地区生态脆弱性分析. 生态学报, 2007,27(4): 1257-1264.
[14] 王瑞燕, 赵庚星, 周伟, 等. 县域生态环境脆弱性评价及其动态分析: 以黄河三角洲垦利县为例. 生态学报,2009, 29(7): 3790-3799.
[15] 李阳兵, 邵景安, 王世杰, 等. 岩溶生态系统脆弱性研究. 地理科学进展, 2006, 25(5): 2-9.
[16] Sinha P C, Guliani P, Jena G K, et al. A breadth averagednumerical model for suspended sediment transport inHooghly Estuary east coast of India. Natural Hazards,2004, 32: 239-255.
[17] Verchot L V, Davidson E A, Cattanio J H, et al. Land-usechange and biogeochemical controls of methane fluxes in soils of eastern Amazonia. Ecosystems, 2000, 3: 41-56.
[18] Vapnik V N. The Nature of Statistical Learning Theory. 2Edition, New York: Springer, 2000: 15-20.
[19] Cortes C, Vapnik V N. Support Vector Networks. MachineLearning, 1995, 20: 273-297.
[20] Vapnik V N. Statistical learning theory. New York: WileyPublishers Science, 1998, 16: 60-68.
[21] Muller K R.An Introduction to Kernel-Based Learning Algo-rithms. IEEE Transactions on Neural Networks, 2001,12(2): 181-201.
[22] Kerrthi S S, Lin C J. Asymptotic behaviors of supportvector machines with gaussian kernel. Neural Computation,2003, 15(7): 1667-1689.
[23] 徐建华. 现代地理学中的数学方法. 北京: 高等教育出版社, 1996: 224-229.
[24] Lucas I F, Frans J M, Wei V D. Accuracy assessment ofsatellite derived landcover data: A review. PhotogrammetricEngineering & Remote Sensing, 1994, 60(4):410-432.
[25] 江红南, 丁建丽, 塔西甫拉提·特依拜, 等. 基于ETM+数据的干旱区盐渍化土壤信息提取研究. 土壤学报, 2008,45(2): 222-228.
