干旱区生态环境知识资源中心(Arid): Groundwater quality for irrigation in an arid region-application of fuzzy logic techniques

Arid

DOI	10.1007/s11356-022-24334-5
	Groundwater quality for irrigation in an arid region-application of fuzzy logic techniques
	Dhaoui, Oussama; Agoubi, Belgacem; Antunes, Isabel Margarida; Tlig, Lotfi; Kharroubi, Adel
通讯作者	Dhaoui, O
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
ISSN	0944-1344
EISSN	1614-7499
出版年	2023
卷号	30 期号:11 页码:29773-29789
英文摘要	Groundwater is the main source to answer the irrigation supply in several arid and semi-arid areas. In the present work, groundwater quality for irrigation purposes in the arid region of Menzel Habib (Tunisia) for thirty-six groundwater samples is assessed considering the application of different conventional water quality indicators, particularly, electrical conductivity (EC), sodium absorption ratio (SAR), soluble sodium percentage (SSP), magnesium adsorption ratio (MAR), Kelly ratio (KR), and permeability index (PI). The results obtained indicate a variability for EC: 3.06 to 14.98 mS.cm(-1); SAR: 4.08 to 19.30; SSP: 35.78 to 71.53%; MAR: 34.19 to 56.01; PI: 38.47 to 72.74; and KR: 0.56 to 2.47. These results suggest that groundwater from Menzel Habib aquifer system is classified between excellent to unsuitable according to the applied water quality indices. Furthermore, the groundwater samples are also plotted in the Richards diagram classification system, based on the relation between SAR and EC, suggesting that almost groundwater samples present a harmful quality. Moreover, fuzzy logic model has been proposed and created to assess groundwater quality for irrigation. The membership functions are constructed for six significant parameters such as EC, SAR, SSP, MAR, KR, and PI and the rules are, then, fired to get a simple Fuzzy Irrigation Water Quality Index (FIWQI). The obtained groundwater quality results suggest that 3% of the samples from Menzel Habib region are considered as good for irrigation, 3% are classified as good to permissible, 33% with a permissible quality, 36% permissible to unsuitable, while 25% of groundwater present an unsuitable quality. Thus, the use of fuzzy logic techniques has more reliable and robust results by overcoming the uncertainties in the decision-making attributed to the conventional methods by the creation of new classes (excellent to good, good to permissible, and permissible to unsuitable) in addition to the classes proposed by Richards diagram classification (excellent, good, permissible, and unsuitable) to assess the groundwater quality suitability for irrigation purposes.
英文关键词	Menzel Habib Water quality indices Fuzzy logic Agricultural use Tunisia
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000887887300003
WOS关键词	SOUTH-EASTERN TUNISIA ; HYDROGEOCHEMICAL PROCESSES ; COASTAL AQUIFER ; RIVER-BASIN ; SALINIZATION ; VULNERABILITY ; DISTRICT ; AREA ; INTRUSION ; NORTHEAST
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/2XILL650/396250
推荐引用方式 GB/T 7714	Dhaoui, Oussama,Agoubi, Belgacem,Antunes, Isabel Margarida,et al. Groundwater quality for irrigation in an arid region-application of fuzzy logic techniques[J],2023,30(11):29773-29789.
APA	Dhaoui, Oussama,Agoubi, Belgacem,Antunes, Isabel Margarida,Tlig, Lotfi,&Kharroubi, Adel.(2023).Groundwater quality for irrigation in an arid region-application of fuzzy logic techniques.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,30(11),29773-29789.
MLA	Dhaoui, Oussama,et al."Groundwater quality for irrigation in an arid region-application of fuzzy logic techniques".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 30.11(2023):29773-29789.