干旱区生态环境知识资源中心(Arid): GROUNDWATER LEVEL PREDICTION THROUGH GMS SOFTWARE

Arid

DOI	10.2478/quageo-2020-0028
	GROUNDWATER LEVEL PREDICTION THROUGH GMS SOFTWARE - CASE STUDY OF KARVAN AREA, IRAN
	Bayat, Mandana; Eslamian, Saeid; Shams, Gholamreza; Hajiannia, Alborz
通讯作者	Eslamian, S (corresponding author), Islamic Azad Univ, Dept Civil Engn, Najafabad Branch, Najafabad, Iran. ; Eslamian, S (corresponding author), Isfahan Univ Technol, Esfahan, Iran.
来源期刊	QUAESTIONES GEOGRAPHICAE
ISSN	0137-477X
EISSN	2081-6383
出版年	2020
卷号	39 期号:3 页码:139-145
英文摘要	Iran, being located in arid and semi-arid regions, faces an increase in human demand for water, and the global climate change has led to the excessive use of groundwater. China, India and Iran were ranked from first to third, respectively, in excessive groundwater consumption in 2005. The effects of effective parameters on groundwater recharge such as precipitation, surface recharge and well water harvesting in the Karvan aquifer are assessed. Groundwater flow models have typically been and are being adopted since the beginning of this millennium to better manage groundwater resources. The decrease in groundwater level and the potential environmental hazards thereof have made the researchers here to apply the Groundwater Modelling System (GMS software) in 3D in the subject area. This modelling is calibrated and validated for 86 months at steady and unsteady states. In this study, six scenarios are defined as both an increase and a decrease of 30% in precipitation, both an increase and a decrease of 30% in surface recharge, an increase of 10% in well water harvesting and a decrease of 30% in well water harvesting. The best scenario is selected for the subject area water management.
英文关键词	groundwater level MODFLOW model GMS software Karvan aquifer
类型	Article
语种	英语
开放获取类型	DOAJ Gold, Green Published
收录类别	ESCI
WOS记录号	WOS:000612703500009
WOS关键词	RECHARGE ; SIMULATION ; FLOW
WOS类目	Geography
WOS研究方向	Geography
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352667
作者单位	[Bayat, Mandana; Eslamian, Saeid; Hajiannia, Alborz] Islamic Azad Univ, Dept Civil Engn, Najafabad Branch, Najafabad, Iran; [Eslamian, Saeid] Isfahan Univ Technol, Esfahan, Iran; [Shams, Gholamreza] Shahrekord Univ, Dept Civil Engn, Shahrekord, Iran
推荐引用方式 GB/T 7714	Bayat, Mandana,Eslamian, Saeid,Shams, Gholamreza,et al. GROUNDWATER LEVEL PREDICTION THROUGH GMS SOFTWARE - CASE STUDY OF KARVAN AREA, IRAN[J],2020,39(3):139-145.
APA	Bayat, Mandana,Eslamian, Saeid,Shams, Gholamreza,&Hajiannia, Alborz.(2020).GROUNDWATER LEVEL PREDICTION THROUGH GMS SOFTWARE - CASE STUDY OF KARVAN AREA, IRAN.QUAESTIONES GEOGRAPHICAE,39(3),139-145.
MLA	Bayat, Mandana,et al."GROUNDWATER LEVEL PREDICTION THROUGH GMS SOFTWARE - CASE STUDY OF KARVAN AREA, IRAN".QUAESTIONES GEOGRAPHICAE 39.3(2020):139-145.