Delineation of groundwater potential zones using remote sensing, GIS, and AHP technique in Tehran–Karaj plain, Iran

Panahi, Mohammad Reza; Mousavi, Seyed Morteza; Rahimzadegan, Majid

doi:10.1007/s12665-017-7126-3

Cited by 52 publications

(19 citation statements)

References 44 publications

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“…However, similar study by Fenta et al (2014) in the same country but different study region showed slope as less effective thematic layer suggesting dependency of effective weights on local conditions and study regions. Such dependency and sensitivity variations of GWP with respect to different cases and study regions has also been highlighted by Panahi et al (2017)…”

Section: Map Removal Sensitivity Analysis Resultsmentioning

confidence: 85%

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

Anteneh¹,

Alemu²,

Bawoke³

et al. 2021

Preprint

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Ever increase in population growth and drastic climatic changes augment the demand and exploration of groundwater from time to time. An integrated approach of remote sensing (RS), geographic information system (GIS) and multicriteria decision analysis (MCDA) of analytical hierarchical process (AHP) were applied to delineate groundwater potential (GWP) zones in Andasa-Tul watershed, Upper Blue Nile Basin, Ethiopia. For this purpose, nine GWP influencing thematic layers comprising lithology, lineament density, geomorphology, slope, soil, drainage density, land use/land cover, rainfall and depth to groundwater level were used. The thematic layers and classes within them were given scale values based on literature and experts’ decision and calculated using Satty’s AHP. The thematic layers have been integrated via their weights/rates using weighted overlay spatial function tool of ArcGIS to provide GWP map. The result shows that GWP map comprises very good (13.4%), good (7%), moderate (23.6 %), poor (35.4%) and very poor (20.5%) zones. Validation of the GWP map with existing water point yields shows 84.21 % agreement indicating good accuracy of the method. The map removal sensitivity analysis result reveals that GWP is more sensitive to lithology (mean variation index, 1.92 %) and less sensitive to geomorphology (mean variation index, 0.59 %). Similarly, from the single layer sensitivity analysis, lithology and slope are found to be more effective parameters, whereas rainfall and depth to groundwater level are less effective variables.

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Section: Map Removal Sensitivity Analysis Resultsmentioning

confidence: 85%

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

Anteneh¹,

Alemu²,

Bawoke³

et al. 2021

Preprint

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show abstract

“…However, from 43 springs, only 28 springs have water discharge data to validate the results of potential groundwater analysis. Validation of the potential groundwater areas resulting from the existing observation springs is a standard method [12][31] [16]. The springs yield data was overlaid over the map result.…”

Section: Groundwater Potential Results Validationmentioning

confidence: 99%

“…The results of the straightness density are Point data that will be interpolated using the Kriging method of ordinary type with a spherical semi-variogram [12][13][14] [16]. Based on the research before, the number of interconnected and longitudinal fractures in an area determines groundwater in the area.…”

Section: Discussionmentioning

confidence: 99%

“…After determining the weight of each parameter, the maps of five parameters were overlaid using GIS software to determine the level of groundwater potential. The result was analyzed using equation 5, where GWPIAHP is the groundwater potential index of the AHP method, n is the number of parameters, Wn is the weight of each parameter, and wn is the weight of each classification on pixel i [12].…”

Section: Discussionmentioning

confidence: 99%

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Determination of Priority Areas for Groundwater Development by Using the Analytic Hierarchy Process Method in Rote Island

Syafarini

Hendrayana

Winardi

2021

IOP Conf. Ser.: Earth Environ. Sci.

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This study aims to determine other exploration targets related to priority areas for groundwater utilization development on Rote Island. In arranging priority areas for groundwater development, remote sensing data and Geographical Information Systems (GIS) are integrated with the Analytic Hierarchy Process (AHP) method. The parameters used are lineament (F), lithology (L), slope (T), drainage density (D), and rainfall (R). F, T, and D were obtained from DEM map analysis. L was obtained from regional geological maps. Moreover, R was obtained from annual rainfall data from the rain station of the study area. All parameters were overlaid using GIS and assign weights using the AHP method. The results will be compared to the locations of springs and wells scattered in the study area. There are five classifications of potential groundwater areas on Rote Island, namely very high is 34 km2 in the East part; high is 383.25 km2 in the South, East, and Northeast part; moderate is 549.50 km2 in the North and South part; low is 246.50 km2 and very low is 2.198 km2 in the West part of the research area. Considering the existing observation springs in Rote Island using average yields in each classification area confirms the correctness of the potential groundwater areas.

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“…7 shows that 32 out of 38 water points coincide with their respective potential zones making 84.21 % accuracy (agreement) signifying the reliability of the method. The validation of groundwater potential zones using water point yield data has also been employed by other researchers (Fenta et al 2014;Kumar et al 2020;Murmu et al 2019;Panahi et al 2017).…”

Section: Validation Of Groundwater Potential Mapmentioning

confidence: 99%

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

et al. 2021

View full text Add to dashboard Cite

Ever increase in population growth and drastic climatic changes augment the demand and exploration of groundwater from time to time. An integrated approach of remote sensing (RS), geographic information system (GIS) and multicriteria decision analysis (MCDA) of analytical hierarchical process (AHP) were applied to delineate groundwater potential (GWP) zones in Andasa-Tul watershed, Upper Blue Nile Basin, Ethiopia. For this purpose, nine GWP influencing thematic layers comprising lithology, lineament density, geomorphology, slope, soil, drainage density, land use/land cover, rainfall and depth to groundwater level were used. The thematic layers and classes within them were given scale values based on literature and experts' decision and calculated using Satty's AHP. The thematic layers have been integrated via their weights/rates using weighted overlay spatial function tool of ArcGIS to provide GWP map. The result shows that GWP map comprises very good (13.4%), good (7%), moderate (23.6 %), poor (35.4%) and very poor (20.5%) zones. Validation of the GWP map with existing water point yields shows 84.21 % agreement indicating good accuracy of the method. The map removal sensitivity analysis result reveals that GWP is more sensitive to lithology (mean variation index, 1.92 %) and less sensitive to geomorphology (mean variation index, 0.59 %). Similarly, from the single layer sensitivity analysis, lithology and slope are found to be more effective parameters, whereas rainfall and depth to groundwater level are less effective variables.

show abstract

Delineation of groundwater potential zones using remote sensing, GIS, and AHP technique in Tehran–Karaj plain, Iran

Cited by 52 publications

References 44 publications

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

Determination of Priority Areas for Groundwater Development by Using the Analytic Hierarchy Process Method in Rote Island

Appraising groundwater potential zones using geospatial and multi-criteria decision analysis (MCDA) techniques in Andasa-Tul watershed, Upper Blue Nile basin, Ethiopia

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