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Mathematical Problems in Engineering Volume 2017 ,2017-03-15
Analysis of the Spatial Variation of Soil Salinity and Its Causal Factors in China’s Minqin Oasis
Research Article
Tana Qian 1 Atsushi Tsunekawa 1 Tsugiyuki Masunaga 2 Tao Wang 3
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DOI:10.1155/2017/9745264
Received 2016-11-30, accepted for publication 2017-01-26, Published 2017-01-26
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摘要

Land salinization and water resource deterioration negatively affect irrigated agriculture in arid and semiarid areas by limiting the area of arable land and reducing crop yields. The spatial variation of soil salinity is affected by many factors, and their interactions are complex. In this study, we utilized grey relational analysis to evaluate the factors that affect soil salinity in China’s Minqin Oasis and the interactions among them and then ranked the significance of their impacts on soil salinity for different land use and cover types. The data used in this study include data obtained from soil chemical analyses based on field sampling in 2015 and hydrological data obtained from local government agencies. We found that the main factors that affect soil salinity in the region’s sparse grassland are groundwater salinity and vegetation cover; the least important factor was the distance to the nearest irrigation canal. For cropland, the most important factors were the distance to irrigation canals and hydrological factors. By accounting for these factors, it should be possible to manage the region’s limited natural water and soil resources more efficiently, while allowing remediation of existing salinized land and helping to maintain sustainable agriculture in this arid land.

授权许可

Copyright © 2017 Tana Qian et al. 2017
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

图表

The location of the study area (the Huqu region) within Shi Yang River Basin. (b) Locations of the 94 soil samples analyzed in the present study.

Histograms of EC1 : 5 values for samples from (a) cropland (n=21) and (b) all other land types (n=73) and their associated descriptive statistics.

Map of the distribution of EC1 : 5 values for the 94 soil samples.

通讯作者

Tana Qian.Arid Land Research Center, Tottori University, 1390 Hamasaka, Tottori City 680-0001, Japan, tottori-u.ac.jp.qian.tana@gmail.com

推荐引用方式

Tana Qian,Atsushi Tsunekawa,Tsugiyuki Masunaga,Tao Wang. Analysis of the Spatial Variation of Soil Salinity and Its Causal Factors in China’s Minqin Oasis. Mathematical Problems in Engineering ,Vol.2017(2017)

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