Analysis of the Spatial Variation of Soil Salinity and Its Causal Factors in China's Minqin Oasis. (15th March 2017)

• Record Type: Journal Article
• Authors: Qian, Tana; Tsunekawa, Atsushi; Masunaga, Tsugiyuki; Wang, Tao
• Other Names: Seya Hajime Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2017(2017)
• Publication Date: 2017-03-15
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2017/9745264
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : 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.