干旱区生态环境知识资源中心(Arid): Characterising dryland salinity in three dimensions

Arid

DOI	10.1016/j.scitotenv.2019.05.037
	Characterising dryland salinity in three dimensions
	Jiang, Qingsong 1,2; Peng, Jie 1,3; Biswas, Asim 4; Hu, Jie 1; Zhao, Ruiying 1; He, Kang 1; Shi, Zhou 1
通讯作者	Shi, Zhou
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2019
卷号	682 页码:190-199
英文摘要	Due to frequent salt migration and large spatial variability within soil profiles, salinity characterisation by traditional drilling sampling methods is time-consuming and labour-intensive. Thus, it is necessary to develop monitoring technology and three-dimensional (3D) characterisation methods for rapid, non-invasive, and accurate soil salinity measurement. This study presents a new framework combining sensor technology and an inversion algorithm to characterise 3D soil salinity. Four typical land-use types (natural desert, natural vegetation, apple orchard, and winter wheat farmland) in the Aksu region of southern Xinjiang were surveyed and apparent conductivity (ECa) data were recorded at depths of 0.75 m and 1.50 m. ECa data were converted to electrical conductivity and salinity characterisation was conducted following US. Salinity Laboratory recommendations. Ordinary Kriging interpolation was used to map the spatial distribution and an iterative inversion model was used to map the vertical distribution of soil salinity. Model parameters were adjusted several times and the accuracy of different inversion algorithms was compared to obtain the best inversion effect. As a result, the Multilevel Orthogonal Inversion model was developed to characterise 3D soil salinity for different land-use types. Due to crop activities including irrigation, managed land use types (apple orchard and winter wheat plots) typically exhibited weaker salinity than natural systems (desert and vegetation plots) but greater spatial variability overall. The proposed framework combining EM (electromagnetic) sensing and the 3D inversion algorithm can effectively characterise and visualise soil salinity for the entire soil profile, which is important for land evaluation and improvement. (C) 2019 Elsevier B.V. All rights reserved.
英文关键词	Digital soil mapping Electromagnetic induction Electrical conductivity Soil salinity Three-dimensional inversion
类型	Article
语种	英语
国家	Peoples R China ; Canada
收录类别	SCI-E
WOS记录号	WOS:000471888900016
WOS关键词	MAPPING SOIL-SALINITY ; ELECTRICAL-CONDUCTIVITY ; JOINT-INVERSION ; FIELD ; DUALEM-421 ; DYNAMICS ; DEPTH
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218706
作者单位	1.Zhejiang Univ, Inst Agr Remote Sensing & Informat Technol Applic, Coll Environm & Resource Sci, Hangzhou 310058, Zhejiang, Peoples R China; 2.Tarim Univ, Coll Informat Engn, Alar 843300, Xinjiang, Peoples R China; 3.Tarim Univ, Coll Plant Sci, Alar 843300, Xinjiang, Peoples R China; 4.Univ Guelph, Sch Environm Sci, 50 Stone Rd East, Guelph, ON N1G 2W1, Canada
推荐引用方式 GB/T 7714	Jiang, Qingsong,Peng, Jie,Biswas, Asim,et al. Characterising dryland salinity in three dimensions[J],2019,682:190-199.
APA	Jiang, Qingsong.,Peng, Jie.,Biswas, Asim.,Hu, Jie.,Zhao, Ruiying.,...&Shi, Zhou.(2019).Characterising dryland salinity in three dimensions.SCIENCE OF THE TOTAL ENVIRONMENT,682,190-199.
MLA	Jiang, Qingsong,et al."Characterising dryland salinity in three dimensions".SCIENCE OF THE TOTAL ENVIRONMENT 682(2019):190-199.