土壤2017，Vol.49Issue(4)：812-818,7.DOI:10.13758/j.cnki.tr.2017.04.025
基于GIS和RS的玛纳斯河流域土壤盐渍化敏感性动态评价
Sensitivity Evaluation of Soil Salinization in Manasi River Basin Based on GIS and RS
摘要
Abstract
The sensitivity of soil salinization can reflect the interference degree of the regional ecological environment. The dynamic monitoring of soil salinization sensitivity in 1989—2015 was analysed based on Landsat series remote sensing data by GIS and RS technology. The results indicated that: 1) The high sensitivity was mainly distributed in the desert regions and the alluvial fan margin, while the extreme sensitivity was distributed around Manasi Lake and the irrigation area; 2) The areas of moderate sensitivity changed into height and into light sensitivities were 3342.10 km2 and 1910.27 km2, respectively, and the areas of high sensitivity into moderate and extreme sensitivities were 1076.64 km2 and 1098.33 km2 from 1989 to 2000 years, respectively. The area of moderate sensitivity into light sensitivity was 1410.68 km2, and the area of high sensitivity into moderate sensitivity was 2713.74km2; 3) Soil salinization sensitivity is higher in the alluvial fan margin and the reservoir surrounding of Manasi River Valley, thus the management of water resources and salinization should be strengthened; 4) The changes of moderate sensitivity and high sensitivity into other grades were intense. Moderate sensitivity changed in a "V" pattern, and the decrease was greater than the increase; High sensitivity changed in an inverted "V" pattern, and the decrease was greater than the increase. The area of extreme sensitivity increased by 1.9%. In general, the management of soil salinization achieved certain effects, and the salinization in alluvial fan margin reduced obviously, this study is of significant in maintaining the regional safety and sustainability of soil resources.关键词
GIS/RS/土壤盐渍化/敏感性/玛纳斯河流域Key words
GIS/RS/Soil salinization/Sensitivity evaluation/Manasi River Basin分类
农业科技引用本文复制引用
张添佑,王玲,韩燕,张梅..基于GIS和RS的玛纳斯河流域土壤盐渍化敏感性动态评价[J].土壤,2017,49(4):812-818,7.基金项目
国家自然科学基金项目(41361073)资助. （41361073）
