基于遥感模型SDI的土壤盐渍化临界水位研究

王庆明; 张  越; 郑荣伟; 李恩冲

引用本文:	王庆明,张越,郑荣伟,等.基于遥感模型SDI的土壤盐渍化临界水位研究[J].灌溉排水学报,0,():-.
	WANG Qing-ming,ZHANG Yue,Zheng Rongwei,et al.基于遥感模型SDI的土壤盐渍化临界水位研究[J].灌溉排水学报,0,():-.

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基于遥感模型SDI的土壤盐渍化临界水位研究
王庆明¹, 张越², 郑荣伟³, 李恩冲⁴
1.河海大学水文水资源与水利工程科学国家重点实验室;2.水利部水利水电规划设计总院;3.浙江同济科技职业学院;4.中国水利水电科学研究院

摘要:

【目的】如何基于遥感模型快速识别大尺度空间土壤盐渍化程度并及时预警，以防止土壤盐渍化发展是当前亟待解决的技术问题。【方法】本文通过分析归一化植被指数（NDVI）、盐分指数（SI）和地下水埋深之间的响应关系，探讨了一种基于遥感模型SDI（Salinization Detection Index）的土壤盐渍化临界水位确定方法，并应用于民勤绿洲区。【结果】（1）植被NDVI与土壤盐渍化程度具有指数关系，盐渍化遥感监测指数SDI可以综合反映区域植被长势和土壤盐渍化程度。（2）SDI和地下水埋深在空间分布上呈现显著反相关关系，说明SDI能够较好的反应土壤盐渍化程度。【结论】民勤绿洲区轻度盐渍化、中度盐渍化和重度盐渍化对应的地下水埋深分别为4.7、3.2、1.8 m。

关键词: 土壤盐渍化；民勤绿洲；遥感模型；地下水

DOI：

分类号:TV62；TV882.1

基金项目:

Determination of the Critical Groundwater Table of Soil Salinization Based on SDI of Remote Sensing Model

WANG Qing-ming¹, ZHANG Yue², Zheng Rongwei³, LI Enchong⁴

1.State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering,Hohai University,Jiangsu Nanjing;2.General Institute of Water Conservancy and Hydropower Planning and Design,Ministry of Water Resources;3.Zhejiang Tongji Vocational College of Science And Technology,Zhejiang Hangzhou;4.China Institute of Water Resources and Hydropower Research

Abstract:

Abstract:【Objective】Soil salinization is one of the main threats to the ecological health of oasis area in northwest China. In recent years, with the ecological restoration and the rise of groundwater level in oasis area, soil salinization in some areas has once again been concerned. While how to quickly identify the degree of soil salinization to prevent the development of soil salinization is an urgent technical problem to be solved.【Method】By analyzing the response relationship between Normalized Difference Vegetation Index (NDVI), Soil Salinization Index (SI) and groundwater depth, this study discusses a method based on Salinization Detection Index (SDI) to determine the critical groundwater depth of soil salinization and applies the method to Minqin oasis area.【Result】The results show that :(1) there is an exponential function relationship between NDVI and SI, while the SDI can comprehensively reflect the relationship between regional vegetation quality and soil salinization.(2) The spatial distribution of SDI and groundwater depth showed a significant inverse correlation, indicating that SDI can better reflect the degree of soil salinization.【Conclusion】The groundwater depth corresponding to mild, moderate and severe salinization in Minqin oasis area are 4.7m, 3.2m and 1.8m respectively.

Key words: Soil salinization; Minqin oasis; Remote sensing model; Groundwater