Integrating GIS and DSS for identification of suitable areas for artificial recharge, case study Meimeh Basin, Isfahan, Iran

Ghayoumian, J; Ghermezcheshme, B.; Feiznia, Sadat; Noroozi, Ali Akbar

doi:10.1007/s00254-004-1169-y

Cited by 91 publications

(39 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The application was performed in a fissured rock aquifer in India, and remote sensing was used to map lineaments and link them with fault zones. Ghayoumian et al [16] also considered characteristics of the aquifer itself such as thickness, transmissivity, and groundwater quality to localize zones for flood spreading using a Decision Support System (DSS). In the porous aquifer studied, the DSS was used to evaluate the contribution of each parameter present in the optimal location for MAR application.…”

Section: Literature Reviewmentioning

confidence: 99%

Delineation of Suitable Zones for the Application of Managed Aquifer Recharge (MAR) in Coastal Aquifers Using Quantitative Parameters and the Analytical Hierarchy Process

Kazakis

2018

Water

View full text Add to dashboard Cite

Abstract:Coastal aquifer salinization is usually related to groundwater overexploitation and water table decline. Managed Aquifer Recharge (MAR) can be applied as a measure to reverse and prevent this phenomenon. A detailed literature review was performed to identify the various methods and parameters commonly used to determine suitable sites of MAR application. Based on the review results, a new multi-criteria index (SuSAM) that is compatible to coastal aquifers was developed to delineate suitable zones for MAR application. New parameters were introduced into the index, such as distance from the shore and hydraulic resistance of the vadose zone, while factor weights were determined using the Analytical Hierarchy Process (AHP) and single sensitivity analysis. The applicability of the new index was examined in the coastal aquifer of the Anthemountas basin located in northern Greece. The most suitable areas for MAR application cover 28% of the aquifer's surface area, while 16% of the area was characterized as non-suitable for MAR application. The new method constitutes the first step of the managed aquifer recharge concept for the delineation of MAR-suitable zones in coastal aquifers.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Delineation of Suitable Zones for the Application of Managed Aquifer Recharge (MAR) in Coastal Aquifers Using Quantitative Parameters and the Analytical Hierarchy Process

Kazakis

2018

Water

View full text Add to dashboard Cite

show abstract

“…While, in the Boolean technique [4,[16][17][18][19][20], the variables are either true or false. This technique provides site selection of a project based on using either the OR (UN-ION) or the AND (INTERSECTION) operations.…”

Section: Introductionmentioning

confidence: 99%

“…[3][4][5][6][7][8]). In these researches, GIS was used in selecting the optimum sites for groundwater recharge projects at various parts of the world.…”

Section: Introductionmentioning

confidence: 99%

The Use of GIS and Google Earth for Preliminary Site Selection of Groundwater Recharge in the Azraq Oasis Area—Jordan

Al‐Adamat¹

2012

JWARP

View full text Add to dashboard Cite

Groundwater is considered to be the major water resource for many areas and the only source of water in some areas in Jordan. Some of Jordan groundwater resources are presently exploited at maximum capacity and in some cases are exploited beyond there safe yield. One of the efficient ways to fight the deficit in groundwater resources is through recharging the water tables naturally or artificially. This research aimed to select the optimum sites for groundwater recharge in the Azraq Oasis area/Jordan through the use of GIS techniques. The selection criteria were based on slope, drainage density, lineament density within the study area. The adopted selection technique was the Boolean techniques (Multiplication) within a Raster GIS. Thirty five sites were selected within the study area with areas vary between 5.2 ha to 273.5 ha. The total area that has the potential for groundwater recharge is 1659.5 ha which represents ca. 3.55% of the study area.

show abstract

“…Artificial recharge is needed to ch allen ge th e water sh or tage issues in Ir an (Khairkhah, 2005). Spreading floodwater can also decrease the damage that the episodic flows cause to h uman life, settlements and agricultur e (Ghayoumian et al, 2005). Geospatial information systems (GIS) can be effectively used in the gathering, weighting, analyzing, presenting spatial and attribute information to facilitate any location endeavor (Alesheikh et al, 2005;Longley et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Land assessment for flood spreading site selection using geospatial information system

Alesheikh

Soltani

Nouri

et al. 2008

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

AB STRA CT: Irregular patterns of precipitations from temporal as well as spatial perspectives not only cause destructions but also waste surface water resources. Hence, controlling surface water and leading the flood to underground stores improve the efficiency of water usage. Selecting appropriate sites for optimal use of water floods is one of the most important factors in recharging underground water tables in dry lands where the agricultural and rangelands are vulnerable. Traditional methods of site selections are, however, time consuming and error prone. This paper attempts to; analyze existing schemes of site selection; introduces an appropriate method of locating flood-spreading sites using Geospatial Information System; implements the strategy in a case study; and scientifically assesses its results. The study area of this research is Samal sub-basin covering 31571.7 ha of Ahrom basin in Boushehr province. In the present research, factors pertain to earth sciences (quaternary units, slope and landuse) and hydrology (runoff infiltration rate and aquifers' depth) are considered. Information layers are weighted, classified and integrated through several models such as boolean logics, index overlay and fuzzy logics. The results are then checked against the existing sites to estimate their accuracy. The results of this research demonstrated that fuzzy logic operators including gamma=0.1, gamma=0.2 and products of fuzzy logics yield the best when compared to control fields and therefore, the models are introduced as the most suitable site selection strategies for flood spreading.

show abstract

Integrating GIS and DSS for identification of suitable areas for artificial recharge, case study Meimeh Basin, Isfahan, Iran

Cited by 91 publications

References 9 publications

Delineation of Suitable Zones for the Application of Managed Aquifer Recharge (MAR) in Coastal Aquifers Using Quantitative Parameters and the Analytical Hierarchy Process

Delineation of Suitable Zones for the Application of Managed Aquifer Recharge (MAR) in Coastal Aquifers Using Quantitative Parameters and the Analytical Hierarchy Process

The Use of GIS and Google Earth for Preliminary Site Selection of Groundwater Recharge in the Azraq Oasis Area—Jordan

Land assessment for flood spreading site selection using geospatial information system

Contact Info

Product

Resources

About