中文
Cite this article: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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DOI:
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