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DOI	10.1016/j.envres.2021.111778
	Identifying influencing groundwater parameter on human health associate with irrigation indices using the Automatic Linear Model (ALM) in a semi-arid region in India
	Panneerselvam, Balamurugan; Muniraj, Kirubakaran; Thomas, Maciej; Ravichandran, Nagavinothini; Bidorn, Butsawan
通讯作者	Panneerselvam, B (corresponding author), M Kumarasamy Coll Engn, Dept Civil Engn, Karur, Tamil Nadu, India.
来源期刊	ENVIRONMENTAL RESEARCH
ISSN	0013-9351
EISSN	1096-0953
出版年	2021
卷号	202
英文摘要	Quality of water for the purposes of irrigation is a serious threat to the sustainable development of the agriculture sector. The main objective of this study is to evaluate the suitability of groundwater for irrigation purposes using various irrigation indices such as: Sodium Absorption Ratio (SAR), Residual Sodium Carbonate (RSC), Percentage Sodium (%Na), Magnesium Hazards (MH), Permeability Index (PI), Potential Salinity (PS), Residual Sodium Bicarbonate (RBSC), Kelly's Ratio (KR), Synthetic Harmful Coefficient (K), and Exchangeable Sodium Percentage (ESP). A total of 30 samples were collected from the bore well of agricultural farmland and analysed for cations and anions. MH reveal that 53.33 % of samples exceed the permissible level. PS shows that 43.33 % of samples are marginally affected and 33.33 % of samples are unsuitable for use in irrigation. About 76 % of the groundwater samples were suitable for irrigation and the remainder require treatment before use. Automatic Linear Modelling (ALM) is used to predict the major influence parameter for MH and PS are RBSC, RSC and K value of groundwater. ALM shows that excess magnesium concentration and salinity are the primary factors that affect the suitability of groundwater for irrigation use. This integrated technique showed that water from approximately 25 % of the sample locations would require treatment before use. This study will improve the pattern of irrigation, identify sources of contamination and highlight the importance of organic fertilizers to develop and enhance the sustainable practices in the study region.
英文关键词	Irrigation water quality Automatic Linear Modelling (ALM) Irrigation indices Integrated method Groundwater contamination
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000703536100006
WOS关键词	WATER-QUALITY INDEX ; RISK-ASSESSMENT ; TAMIL-NADU ; DISTRICT ; DRINKING ; POLLUTION ; IMPACT ; BASIN ; GIS ; SUITABILITY
WOS类目	Environmental Sciences ; Public, Environmental & Occupational Health
WOS研究方向	Environmental Sciences & Ecology ; Public, Environmental & Occupational Health
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363146
作者单位	[Panneerselvam, Balamurugan] M Kumarasamy Coll Engn, Dept Civil Engn, Karur, Tamil Nadu, India; [Muniraj, Kirubakaran] United Engineers, Erode, Tamil Nadu, India; [Thomas, Maciej] Chemiqua Water & Wastewater Co Krakow, Krakow, Poland; [Ravichandran, Nagavinothini] Univ Naples Federico II, Dept Struct Engn & Architecture, Naples, Italy; [Bidorn, Butsawan] Chulalongkorn Univ, Dept Water Resources Engn, Bangkok, Thailand
推荐引用方式 GB/T 7714	Panneerselvam, Balamurugan,Muniraj, Kirubakaran,Thomas, Maciej,et al. Identifying influencing groundwater parameter on human health associate with irrigation indices using the Automatic Linear Model (ALM) in a semi-arid region in India[J],2021,202.
APA	Panneerselvam, Balamurugan,Muniraj, Kirubakaran,Thomas, Maciej,Ravichandran, Nagavinothini,&Bidorn, Butsawan.(2021).Identifying influencing groundwater parameter on human health associate with irrigation indices using the Automatic Linear Model (ALM) in a semi-arid region in India.ENVIRONMENTAL RESEARCH,202.
MLA	Panneerselvam, Balamurugan,et al."Identifying influencing groundwater parameter on human health associate with irrigation indices using the Automatic Linear Model (ALM) in a semi-arid region in India".ENVIRONMENTAL RESEARCH 202(2021).