Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan

Arshad, Arfan; Zhang, Zhijie; Zhang, Wanchang; Dilawar, Adil

doi:10.1016/j.gsf.2019.12.013

Cited by 136 publications

(60 citation statements)

References 39 publications

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“…In other words, the low weights suggest low groundwater potentials, while the high weights imply high groundwater potentiality [104]. Similar to [72,76,[88][89][90], we assigned the significance of the thematic layers (and later the rank to their feature classes) based on extensive literature reviews (e.g., Table 2) and experts knowledge as explained below. Table 3.…”

Section: Pairwise Comparison Matrixmentioning

confidence: 99%

“…In the present study, AHP is integrated with RS-GIS techniques for the identification of GWPZs in the Shatt Al-Arab basin. Similar to [72,76,[88][89][90], weights are allocated to the different parameters and their feature classes based on extensive literature reviews and expert knowledge using the AHP method. The integration of RS-GIS with AHP results in the conversion of data to obtain valuable information for managers and policymakers [91].…”

Section: Introductionmentioning

confidence: 99%

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Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin

2020

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Rapid population growth has raised the groundwater resources demand for socio-economic development in the Shatt Al-Arab basin. The sustainable management of groundwater resources requires precise quantitative evaluation, which can be achieved by applying scientific principles and modern techniques. An integrated concept has been used in the current study to identify the groundwater potential zones (GWPZs) in the Shatt Al-Arab basin using remote sensing (RS), geographic information system (GIS), and analytic hierarchy process (AHP). For this purpose, nine groundwater occurrence and movement controlling parameters (i.e., lithology, rainfall, geomorphology, slope, drainage density, soil, land use/land cover, distance to river, and lineament density) were prepared and transformed into raster data using ArcGIS software. These nine parameters (thematic layers) were allocated weights proportional to their importance. Furthermore, the hierarchical ranking was conducted using a pairwise comparison matrix of the AHP in order to estimate the final normalized weights of these layers. We used the overlay weighted sum technique to integrate the layers for the creation of the GWPZs map of the study area. The map has been categorized into five zones (viz., very good, good, moderate, poor, and very poor) representing 4, 51, 35, 9, and 1% of the study area, respectively. Finally, for assessing the effectiveness of the model, the GWPZs map was validated using depth to groundwater data for 99 wells distributed over the basin. The validation results confirm that the applied approach provides significantly solid results that can help in perspective planning and sustainable utilization of the groundwater resources in this water-stressed region.

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Section: Pairwise Comparison Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin

2020

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“…Geographic information system (GIS) and Remote Sensing (RS) techniques facilitate estimating surface and subsurface water over large areas [15,18,[20][21][22][23]. A variety of methods have been implemented for groundwater recharge zone mapping worldwide [24][25][26][27] such as frequency ratio (FR), certainty factor (CF), weights-of-evidence (WOE), fuzzy logic index models, analytical hierarchy process (AHP) and multi-influencing factors (MIF). In particular, the AHP and MIF techniques have gained attention as useful approaches for groundwater prediction for rapid, precise and cost-effective assessment of groundwater recharge potential [28][29][30][31][32][33] by significantly reducing the mathematical complexity of decision-making based on systematic expert judgment.…”

Section: Introductionmentioning

confidence: 99%

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

Zghibi

Mirchi

Msaddek

et al. 2020

Water

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Mapping groundwater recharge zones (GWRZs) is essential for planning artificial recharge programs to mitigate groundwater decline and saltwater intrusion into coastal aquifers. We applied two multi-criteria decision-making approaches, namely the analytical hierarchy process (AHP) and the multi-influencing factors (MIF), to map GWRZs in the Korba aquifer in northeastern Tunisia. GWRZ results from the AHP indicate that the majority (69%) of the area can be classified as very good and good for groundwater recharge. The MIF results suggest larger (80.7%) very good and good GWRZs. The GWRZ maps improve groundwater balance calculations by providing estimates of recharge-precipitation ratios to quantify percolation. Lithology, land use/cover and slope were the most sensitive parameters followed by geomorphology, lineament density, rainfall, drainage density and soil type. The AHP approach produced relatively more accurate results than the MIF technique based on correlation of the obtained GWRZs with groundwater well discharge data from 20 wells across the study area. The accuracy of the approaches ultimately depends on the classification criteria, mean rating score and weights assigned to the thematic layers. Nonetheless, the GWRZ maps suggest that there is ample opportunity to implement aquifer recharge programs to reduce groundwater stress in the Korba aquifer.

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“…Pengelolaan air tanah dengan wawasan lingkungan akan memberikan keuntungan dalam pengelolaan jangka panjang, salah satunya adalah dengan mengetahui zona potensi kerentanan air tanah (Abuduwaili et al, 2019;Aller et al, 1987;Arshad et al, 2020;Gaikwad et al, 2020;Marfai et al, 2019;Putranto et al, 2019;Hailin et al, 2011). Zona kerentanan air tanah dapat diketahui dengan pendekatan DRASTIC, dengan parameter yang digunakan didasarkan karakteristik hidrogeologi (Aller et al, 1987;Devianto et al, 2019;Gaikwad et al, 2020;Jena et al, 2020;Lathamani et al, 2015.…”

Section: Gambar 1 Geologi Regional DI Kecamatan Tanjungbumiunclassified

“…Smith et al (2020) menyebutkan, dengan mengetahui informasi zona kerentanan air tanah dapat memberikan solusi dalam pengelolaan air tanah, terlebih zona rentan terhadap pencemaran air tanah. Penentuan wilayah atau zona terhadap suatu kerentanan secara keruangan (spasial) atau peta tematik memiliki beberapa kelebihan, yaitu lebih mudah dikenali wilayahnya dan keterkaitan antar lokasi (Arshad et al, 2020).…”

Section: Gambar 1 Geologi Regional DI Kecamatan Tanjungbumiunclassified

Kajian Spasial Multi Kriteria DRASTIC Kerentanan Air tanah Pesisir Akuifer Batugamping di Tanjungbumi Madura

et al. 2020

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Air tanah di daerah pesisir memiliki kerentanan air tanah terhadap pencemaran tinggi, hal tersebut dipengaruhi oleh penyusun batuan bersifat porus. Selain faktor porusnya sifat batuan melolosakan air tanah, batugamping juga memiliki potensi kerentanan tinggi dengan media celah dalam menyimpan dan melolosakan air tanah dengan percepatan pergerakan air tanah yang tinggi. Kecamatan Tanjungbumi berada dipesisir dengan batuan penysun didominasi oleh pasiran dan batugamping (Formasi Madura). Secara litologi akuifer, terdiri atas 70,3 % akuifer batugamping dan 29,7 % akuiufer pasiran. Tujuan dari penelitian ini adalah untuk menentukan daerah dengan kerentanan air tanah terhadap pencemaran pada akuifer pesisir dengan penyusun batuan dengan dominan batugamping. Untuk mencapai tujuan tersebut, maka dilakukan analisis spasial multi kriteria dengan pendekatan DRASTIC. Metode DRASTIC dapat merepresentarikan kerentanan air tanah dengan pendekatan hidrogeologi. Parameter yang digunakan mempunyai pengaruh dalam menentukan kerentanan yang dibedakan dengan nilai dan nilai bobot. Pendekatan parameter bobot tinggi memberikan informasi faktor yang paling berpengaruh mempengaruhi kerentanan air tanah. Perhitungan hasil skor total diperoleh dari perhitungan linier seluruh parameter, kemudian klasifikasikan kelas kerentanan air tanah terhadap pencemaran. Hasil penelitian menunjukkan kerentanan air tanah multikriteria menghasilkan lima tingkat kerentanan air tanah terhadap pencemaran. Kerentanan sangat rendah 2,18 km2 (3,20 %), kerentanan rendah seluas 10,01 km2 (14,69 %), kerentanan sedang seluas 45,74 km2 (67,11 %), kerentanan tinggi seluas 7,22 km2 (10,59 %), dan kerentanan sangat tinggi dengan luas 3 km2 (4,40%) dari luas kecamatan Tanjungbumi.

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Mapping favorable groundwater potential recharge zones using a GIS-based analytical hierarchical process and probability frequency ratio model: A case study from an agro-urban region of Pakistan

Cited by 136 publications

References 39 publications

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin

Identification of Groundwater Potential Zones Using Remote Sensing and GIS Techniques: A Case Study of the Shatt Al-Arab Basin

Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer

Kajian Spasial Multi Kriteria DRASTIC Kerentanan Air tanah Pesisir Akuifer Batugamping di Tanjungbumi Madura

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