论文

基于遥感的渭干河-库车河三角洲绿洲土地盐渍化监测及成因分析

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  • 1. 新疆大学资源与环境科学学院, 新疆 乌鲁木齐 830046;
    2. 新疆大学绿洲生态教育部重点实验室, 新疆 乌鲁木齐 830046;
    3. 九州大学理学研究院地球惑星教室, 日本 福冈 812-8581

收稿日期: 2010-09-06

  修回日期: 2011-01-22

  网络出版日期: 1997-08-20

基金资助

国家自然科学基金项目(40901163,40961025)、资源与环境信息系统国家重点实验室项目(NO.2010kf0003sa)资助。

The Remote Sensing Investigation and Causal Analysis of Salt-affected Soils in the Weigan-Kuqa Reiver Delta

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  • 1. College of Resource and Environment Sciences, Xinjiang University, Urumqi, Xinjiang 830046, China;
    2. Key Laboratory of Oasis Ecology of Ministry of Education, Urumqi, Xinjiang 830046, China;
    3. Department of Earth and Planetary Sciences, Kyushu University, Fukuoka, Japan 812-8581

Received date: 2010-09-06

  Revised date: 2011-01-22

  Online published: 1997-08-20

摘要

选用高分辩率ALOS遥感影像,在实地调查基础上,分析研究区域盐渍地现状及成因。结果表明,该方法对盐渍地的提取精度达到91.356%;盐渍地主要分布在渭干河和库车河的下游,塔里木河北部,渭干河-库车河绿洲西南、南、东和东南部地区;渭库绿洲的盐渍面积较大,其中库车县最多,其次为沙雅县,新和县最小;干旱的气候,丰富的盐分来源,水化学环境变化,相对封闭的自然地理环境以及人类不合理活动是引起该区域土壤盐盐渍化最主要原因。

本文引用格式

买买提·沙吾提, 塔西甫拉提·特依拜, 丁建丽, 鹿島薫 . 基于遥感的渭干河-库车河三角洲绿洲土地盐渍化监测及成因分析[J]. 地理科学, 2011 , 31(8) : 976 -981 . DOI: 10.13249/j.cnki.sgs.2011.08.976

Abstract

In this paper, the Decision Tree method was used to classification of salt affected soil in Weigan-kuqa river delta oasis with the integration of high spatial resolution ALOS image and the ancillary data such as geologic maps, soil maps, groundwater table and quality data, based on their characteristic.The amount, spatial distribution, extent and center of salt affected soils in the study area was indicated, and the causal analysis of the salinization was discussed. The result showed that the total accuracy of Decision Tree classification is 91.3569%, testifying it is a very useful method for monitoring soil salinization in the arid area. The salt affected soils are mostly distributed the lower reaches of Weigan river and Kuqa river d, the north of the Tarim river and the southeast, south, east and southeast of the Weigan-Kuqa river oasis. The proportion of the salt affected soils in the study area is very high, among them Kuqa County is severely salinized, Shaya County is moderately salinized, Xinhe County is slightely salinized. The salinization in the study area was mainly due to the drought climatic conditions, rich salt origins, enclosed basin, fragile water cycle system and unreasonable human activities.

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