干旱区生态环境知识资源中心(Arid): Space-time modelling of groundwater level and salinity

Arid

DOI	10.1016/j.scitotenv.2021.145865
	Space-time modelling of groundwater level and salinity
	Akter, Farzina; Bishop, Thomas F. A.; Vervoort, Willem
通讯作者	Akter, F (corresponding author), Univ Sydney, Sydney Inst Agr, Sch Life & Environm Sci, Sydney, NSW 2006, Australia.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2021
卷号	776
英文摘要	Soil salinization resulting from shallow saline groundwater is a major global environmental issue causing land degradation, especially in semi-arid regions such as Australia. The adverse impact of shallow saline groundwater on soil salinization varies in space and time due to the variation in groundwater levels and salt concentration. Understanding the spatio-temporal variation is therefore vital to develop an effective salinity management strategy. In New South Wales, Australia, a hydrogeological landscape unit approach is generally applied, based on spatial information and expert operators, classifying the landscape in relation to landscape and climate. In this paper, a data science approach (random forest model) is introduced, based on historical groundwater quality and quantity data providing predictions in a 4-dimensional space. As a case study, we demonstrate the spatio-temporal factors impacting standing water levels (SWL) and associated salinity and predict the spatial and temporal variability in the Muttama catchment (1059 km(2)), in NSW, south eastern Australia. The random forest model explains 77% of the variance in the groundwater salinity (electrical conductivity) and 65% of the SWL. Spatial factors were the most significant variables determining the space-time variation in groundwater salinity and the occurrence of groundwater at the surface. Drilled piezometer depth and elevation are dominant factors controlling SWL, while salinity is mainly determined by underlying geology. The methodology in this study predicts salinity and SWL in the landscape at fine scales, through time, improving options for salinity management. (C) 2021 Elsevier B.V. All rights reserved.
英文关键词	Random forests modelling South East Australia Landscape model Variability
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000647608700011
WOS关键词	RANDOM FORESTS ; DRYLAND SALINITY ; WATER-USE ; IRRIGATION ; SALINIZATION ; REGRESSION ; MANAGEMENT ; RECHARGE ; DRAINAGE ; QUALITY
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/2XILL650/351658
作者单位	[Akter, Farzina; Bishop, Thomas F. A.; Vervoort, Willem] Univ Sydney, Sydney Inst Agr, Sch Life & Environm Sci, Sydney, NSW 2006, Australia
推荐引用方式 GB/T 7714	Akter, Farzina,Bishop, Thomas F. A.,Vervoort, Willem. Space-time modelling of groundwater level and salinity[J],2021,776.
APA	Akter, Farzina,Bishop, Thomas F. A.,&Vervoort, Willem.(2021).Space-time modelling of groundwater level and salinity.SCIENCE OF THE TOTAL ENVIRONMENT,776.
MLA	Akter, Farzina,et al."Space-time modelling of groundwater level and salinity".SCIENCE OF THE TOTAL ENVIRONMENT 776(2021).