Arid
DOI10.3390/rs12152405
Quantitative Evaluation of Spatial and Temporal Variation of Soil Salinization Risk Using GIS-Based Geostatistical Method
Wang, Zheng; Zhang, Fei; Zhang, Xianlong; Chan, Ngai Weng; Kung, Hsiang-te; Zhou, Xiaohong; Wang, Yishan
通讯作者Zhang, F
来源期刊REMOTE SENSING
EISSN2072-4292
出版年2020
卷号12期号:15
英文摘要Soil salinization is one of the environmental threats affecting the sustainable development of arid oases in the northwest of China. Thus, it is necessary to assess the risk of soil salinity and analyze spatial and temporal changes. The objective of this paper is to develop a temporal and spatial soil salinity risk assessment method based on an integrated scoring method by combining the advantages of remote sensing and GIS technology. Based on correlation coefficient analysis to determine the weights of risk evaluation factors, a comprehensive scoring system for the risk of salinity in the dry and wet seasons was constructed for the Ebinur Lake Wetland National Nature Reserve (ELWNNR), and the risk of spatial variation of soil salinity in the study area was analyzed in the dry and wet seasons. The results show the following: (1) The risk of soil salinity during the wet season is mainly influenced by the plant senescence reflectance index (PSRI), deep soil water content (D_wat), and the effect of shallow soil salinity (SH_sal). The risk of soil salinity during the dry season is mainly influenced by shallow soil salinity (SH_sal), land use and land cover change (LUCC), and deep soil moisture content (D_wat). (2) The wet season was found to have a high risk of salinization, which is mainly characterized by moderate, high, and very high risks. However, in the dry season, the risk of salinity is mainly characterized by low and moderate risk of salinity. (3) In the ELWNNR, as the wet season changes to dry season (from May to August), moderate-risk area in the wet season easily shifts to low risk and risk-free, and the area of high risk in the wet season easily shifts to moderate risk. In general, the overall change in salinity risk of the ELWNNR showed a significant relationship with changes in lake water volume, indicating that changes in water volume play an important role in the risk of soil salinity occurrence. Ideally, the quantitative analysis of salinity risk proposed in this study, which takes into account temporal and spatial variations, can help decision makers to propose more targeted soil management options.
英文关键词remote sensing soil salinization risk plant senescence reflectance index kriging eco-environment
类型Article
语种英语
开放获取类型DOAJ Gold
收录类别SCI-E
WOS记录号WOS:000559119100001
WOS关键词EBINUR LAKE ; POTENTIAL RISK ; LAND-USE ; AREA ; SALINITY ; NORTHWESTERN ; REFLECTANCE ; XINJIANG ; MODEL
WOS类目Remote Sensing
WOS研究方向Remote Sensing
来源机构新疆大学 ; Commonwealth Scientific and Industrial Research Organisation
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/325594
作者单位[Wang, Zheng; Zhang, Fei; Zhang, Xianlong; Zhou, Xiaohong; Wang, Yishan] Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Wisdom City & Environm Modeling, Higher Educ Inst, Urumqi 830046, Peoples R China; [Wang, Zheng; Zhang, Fei; Zhang, Xianlong; Zhou, Xiaohong; Wang, Yishan] Xinjiang Univ, Key Lab Oasis Ecol, Urumqi 830046, Peoples R China; [Zhang, Fei] Commonwealth Sci & Ind Res Org Land & Water, Canberra, ACT 2601, Australia; [Chan, Ngai Weng] Univ Sains Malaysia, Sch Humanities, George Town 11800, Penang, Malaysia; [Kung, Hsiang-te] Univ Memphis, Dept Earth Sci, Memphis, TN 38152 USA
推荐引用方式
GB/T 7714
Wang, Zheng,Zhang, Fei,Zhang, Xianlong,et al. Quantitative Evaluation of Spatial and Temporal Variation of Soil Salinization Risk Using GIS-Based Geostatistical Method[J]. 新疆大学, Commonwealth Scientific and Industrial Research Organisation,2020,12(15).
APA Wang, Zheng.,Zhang, Fei.,Zhang, Xianlong.,Chan, Ngai Weng.,Kung, Hsiang-te.,...&Wang, Yishan.(2020).Quantitative Evaluation of Spatial and Temporal Variation of Soil Salinization Risk Using GIS-Based Geostatistical Method.REMOTE SENSING,12(15).
MLA Wang, Zheng,et al."Quantitative Evaluation of Spatial and Temporal Variation of Soil Salinization Risk Using GIS-Based Geostatistical Method".REMOTE SENSING 12.15(2020).
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