[1]WANG Wen-yong,GAO Pei-ling,LANG Xin-zhu,et al.Relationship of the Spatial-temporal Dynamic Change between Groundwater Level Depth and Land Salinization Based on 3S -A Case Study of Qihe County in Dezhou City, Shandong Province[J].Research of Soil and Water Conservation,2011,18(06):157-161,166.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
18
Number of periods:
2011 06
Page number:
157-161,166
Column:
Public date:
2011-12-20
- Title:
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Relationship of the Spatial-temporal Dynamic Change between Groundwater Level Depth and Land Salinization Based on 3S -A Case Study of Qihe County in Dezhou City, Shandong Province
- Author(s):
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WANG Wen-yong1, GAO Pei-ling1,2, LANG Xin-zhu1, CHEN Fei1, LIU Xian-wei3
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1. School of Agricultural and Food Engineering, Shandong University of Technology, Zibo, Shandong 255049, China;
2. State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Institute of Soil and Water Conservation, Chinese Academy of Sciences and Ministry of Water Resources, Yangling, Shaanxi 712100, China;
3. Dezhou Water Conservance Bureau, Dezhou, Shandong 253000, China
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- Keywords:
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salinized land; groundwater level depth; transfer matrix; spatial-temporal dynamic
- CLC:
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P332.3;S156.4+4
- DOI:
-
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- Abstract:
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The objective of this study was to characterize the causes, spatial distribution and trend of land salinization in Dezhou of Shandong Province, and to provide some suggestions on optimizing and allocating water resources and improving salinized land and land use status of farmland. The rule of the spatial-temporal change in this area was studied by using spatial analysis module of ArcGIS and analyzing groundwater level depth data from 2000 to 2009 and during seedtime around in 2009. Utilizing ERDAS to process TM remote sensing image of October 2002, October 2006, October 2009 and April, 2003, information on land use as salinized land was extracted. the source, target, change rate and causes of the salinized land in the targeted area were examined by generating transfer matrix of land use during 2002-2006, 2006-2009, and October 2002-April 2003 under ArcGIS. Groundwater level depth and spatial-temporal distribution of salinized land in this area were analyzed to learn the variation tendency and leading factors of salinization by using neighborhood statistics and classification area statistics of ArcGIS. Results show that the annual and seasonal differences are significant in terms of the spatial-temporal distribution of salinized land in the area. The county-wide underground water level is shallow and about 2 m in most of the areas, and up to annual maximum depth of 5 m in few areas. Salinized land shares much distribution in relatively shallow buried areas or areas that suffer stronger fluctuating change in buried depth. Buried depth is the main factor for the salinized land change in the area.