| GIS技术支持下的土地盐碱化敏感性评价 |
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| 引用本文： | 汤洁,赵凤琴,李昭阳,王晨野.GIS技术支持下的土地盐碱化敏感性评价[J].吉林大学学报(地球科学版),2006,36(5):841-846. |
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| 作者姓名： | 汤洁 赵凤琴 李昭阳 王晨野 |
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| 作者单位： | 1.吉林大学 环境与资源学院，长春 130026;2.辽宁师范大学 生命科学学院，辽宁 大连 116029 |
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| 基金项目： | 国家自然科学基金项目(40572170)，高等学校博士学科点专项科研基金项目(20050183056) |
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| 摘 要： | 在生态环境较脆弱的吉林省西部地区，应用GIS多边形叠置分析技术划分了6 395个评价单元，选取了6项土地盐碱化敏感性指标，将土地盐碱化的敏感程度分为非敏感、轻度敏感、中度敏感和极敏感4级。采用层次分析和二级模糊综合评判相结合的方法进行敏感性评价，并通过GIS技术实现评价结果的分区和可视化。结果表明,采用的评价方法能够有效提高评价精度。研究区土地盐碱化以中度敏感为主，轻度敏感和非敏感次之，极敏感地区占土地总面积的份额最小。
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| 关 键 词： | GIS 土地盐碱化敏感性 层次分析法 模糊综合评判 可视化 |
| 文章编号： | 1671-5888(2006)05-0841-06 |
| 收稿时间： | 2006-03-24 |
| 修稿时间： | 2006年3月24日 |
Evaluation of Sensitivity to Alkali-saline Land Supported by GIS |
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| TANG Jie,ZHAO Feng-qin,LI Zhao-yang,WANG Chen-ye.Evaluation of Sensitivity to Alkali-saline Land Supported by GIS[J].Journal of Jilin Unviersity:Earth Science Edition,2006,36(5):841-846. |
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| Authors: | TANG Jie ZHAO Feng-qin LI Zhao-yang WANG Chen-ye |
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| Institution: | 1.College of Environment and Resources, Jilin University, Changchun 130026,China;2.College of Life Sciences, Liaoning Normal University, Dalian,Liaoning 116029, China |
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| Abstract: | In order to evaluate the sensitivity to alkali-saline land in the West of Jilin Province with the fragile eco-environmental problems, 6 395 cells had been divided with the help of the polygon over- laying method of GIS and 6 indexes were chosen. The degree of sensitivity had been divided into non-sensitivity, low-sensitivity, high-sensitivity and the highest-sensitivity. The AHP model was used to ascertain the weight of evaluating indexes, and the Fuzzy model was used to evaluate the level of sensitivity to alkali-saline land,which could supply the useful basis to the division of the sub areas and visualization of result by GIS technology. The result showed that the above methods could improve the precision of evaluation. The alkali-saline land in the West of Jilin Province is dominated by high-sensitivity. The low-sensitivity and the non-sensitivity were take second place, and the highest-sensitivity was the least. |
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| Keywords: | GIS sensitivity to alkali-saline land AHP Fuzzy visualization |
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