Critical Zone Assessments of an Alluvial Aquifer System Using the Multi-influencing Factor (MIF) and Analytical Hierarchy Process (AHP) Models in Western Iran

Taheri, Kamal; Missimer, Thomas M.; Taheri, Milad; Moayedi, Hossein; Pour, Fathollah Mohseni

doi:10.1007/s11053-019-09516-2

Cited by 32 publications

(16 citation statements)

References 70 publications

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“…AHP is one of the techniques developed by Saaty (1977) that deals with multicriteria decision making, including complex interrelated criteria. It helps in the decisionmaking process by assigning proper weights and ratings to the various alternatives, removing the redundancy among them (Sener and Davraz 2013;Saida et al 2017;Taheri et al 2020). For this study, AHP is used to modify the weights and ratings to the DRASTIC parameters.…”

Section: Modified Drastic Methodsmentioning

confidence: 99%

“…Hence, to get more accurate and consistent results from the DRASTIC method, the weights assigned to various hydrogeological parameters should be optimized (Wu et al 2018). There are several methods adopted in different studies (Sener and Davraz 2013;Neshat et al 2014;Saida et al 2017;Taheri et al 2020) to optimize the weight assignment in the DRASTIC method. One of the methods is to use the analytical hierarchy process (AHP) as a multicriteria decision-making process (Jena et al 2020), which can help to remove the subjectivity of the DRASTIC parameters.…”

Section: Introductionmentioning

confidence: 99%

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Groundwater Vulnerability Assessment from a Drinking Water Perspective: Case Study in a Tropical Groundwater Basin in Eastern India

Thakur

Jena

Panda

et al. 2021

J. Hazard. Toxic Radioact. Waste

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This study assessed the groundwater vulnerability of the Rana groundwater basin, Odisha, India. The study attempts to optimize the DRASTIC method by modifying the weights and ratings assigned to the DRASTIC parameters using the analytical hierarchy process. Sensitivity analysis has been carried out to quantify the influence of each parameter. The groundwater vulnerability results obtained from both DRASTIC and modified DRASTIC methods were validated using the water quality index (WQI) values computed through groundwater quality data at 25 sampling locations. The results revealed that the index values generated through modified DRASTIC possessed a higher correlation with the WQI compared with the original DRASTIC method. The groundwater level and net recharge were found to be having a greater influence on groundwater vulnerability. The obtained vulnerability maps from the modified DRASTIC method revealed that about 70% of the area was under very low to low vulnerable zones, whereas 14% of the area was under high to very high vulnerable zones. It was also observed that most of the high to very high vulnerable zones were located on the agriculturally dominated areas lying in the northern part of the basin. The result obtained will play an immense role in adopting management practices to conserve the groundwater quality of the study basin.

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Section: Modified Drastic Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Groundwater Vulnerability Assessment from a Drinking Water Perspective: Case Study in a Tropical Groundwater Basin in Eastern India

Thakur

Jena

Panda

et al. 2021

J. Hazard. Toxic Radioact. Waste

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“…Günümüzde coğrafi verilerin kullanılabilirliğinin artması ve hesaplama teknolojisindeki gelişmelerle birlikte CBS, yeraltı suyu ve su kaynakları yönetimi için yaygın olarak kullanılmaktadır [10]. CBS, analiz oluşturmak ve çeşitli mekânsal verileri depolamak için kullanılmaktadır.…”

Section: Drasti̇c Model Ve Hidrojeolojik Faktörlerunclassified

“…Sulu tarım alanı), (Yerleşim alanları), (Kuru tarım alanları), (Bozkır) (Ağaçlık alan)(10),(9),(7),(5) (3) a) Depth to water (m) b) Recharge rate c) Aquifer media d) Soil media e) Topographic slope (%) f) Impact of vadose zone g) Hydraulic conductivity (m/d) h) Landuse Hidrojeolojik faktörlere göre atanmış ağırlıklandırma değerlerinin tematik haritaları Tartışma ve Sonuç Coğrafi Bilgi Sistemi yazılımlarından ArcGIS ArcMap 10.8 kullanılarak çalışma alanını oluşturan Harran Ovası serbest akiferi için ODM ve MDM olan DRASTIC mekânsal dağılım haritaları oluşturulmuştur. Günümüzde coğrafi verilerin kullanılabilirliğinin artması ve hesaplama teknolojisindeki gelişmelerle birlikte CBS, yeraltı suyu ve su kaynakları yönetimi için yaygın olarak kullanılmaktadır [10].…”

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CBS Kullanılarak Yeraltı Suyu Kirlilik Hassasiyetinin Değerlendirilmesi: Harran Ovası Örneği

Karabulut¹,

Yeşilnacar²

2022

acperpro

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Yağış rejimini etkileyen önemli etkenlerden biri de küresel ölçekteki iklim değişimidir. Bundan dolayı, hidrolojik döngünün en önemli bileşenlerinden biri olan yeraltı suyunun miktar bakımından azalmasına neden olmuştur. Bunun yanı sıra, kentleşme, nüfus artışı, tarımsal ve endüstriyel faaliyetlerin artması yeraltı suyu kalitesini olumsuz etkilemiştir. Dolayısıyla, kirlenmenin olası etkilerini tahmin etmek ve buna göre koruma tedbirlerini almak için etkin bir yeraltı suyu etkilenebilirlik analizi yapılmalıdır. Bu analizin gerçekleştirilmesi için yaygın olarak kullanılan modellerden biri olan DRASTIC modeli bu çalışmada benimsenmiştir.Bu çalışmada, etkilenebilirlik analizi için DRASTIC modelinin alt türlerinden Original Drastic Model (ODM) ve Modified Drastic Model (MDM) test edilmiştir. Buna göre, çalışma alanının yarısına yakın bir bölgede etkilenebilir olduğu tespit edilmiştir. Bu alanların özellikle, yerleşim birimlerin yakın olduğu saptanmıştır.

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“…The GIS technique provides a simple and IOP Publishing doi:10.1088/1755-1315/1084/1/012047 2 easy method for the assessment of drought zones compared to conventional methods with its capability to integrate and analyse different data sources, including RS datasets [10]. Integration of GIS with different multi-criteria decision-making methods such as Analytic Hierarchy Process (AHP) and Multi-influencing Factor (MIF) methods was used for the identification or mapping of drought zones and groundwater potential studies were conducted [11][12][13][14][15][16][17][18][19][20]. Studies utilising both the AHP & MIF methods in drought assessment are very rare.…”

Section: Introductionmentioning

confidence: 99%

Assessment and Identification of drought prone zone in a Low Laying Area by AHP and MIF method: A GIS based study

Singh

Devi

2022

IOP Conf. Ser.: Earth Environ. Sci.

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The study location, the Imphal West district of Manipur state, is known for its flood-prone character due to its low-lying topography in India’s north-eastern region. Unexpectedly, in the year 2019, a drought-like scenario with extremely limited available surface water arose, severely affecting agricultural activity in the region, which is primarily covered by agricultural land. Drought-prone zones for 2019 were discovered using GIS (Geographical Information System) tools and satellite data, employing both the AHP (Analytic Hierarchy Process) and MIF (Multi Influencing Factor) methods. Seven parameters (rainfall, temperature, slope, drainage density, soil, landuse/landcover, and groundwater yield) were taken as input parameters. Drought zones were simulated and classified as mild (22.82% according to AHP and 39.42% according to MIF), moderate (60.10% and 54.71%), severe (16.16% and 5.55%), and extreme (0.92% and 0.32%). Drought data (ground data) from the State Government Department (2019) shows that 43.71% of drought zones are mild, while 51.32% are moderate, indicating that the MIF approach can more accurately simulate the drought region than the AHP method.

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Critical Zone Assessments of an Alluvial Aquifer System Using the Multi-influencing Factor (MIF) and Analytical Hierarchy Process (AHP) Models in Western Iran

Cited by 32 publications

References 70 publications

Groundwater Vulnerability Assessment from a Drinking Water Perspective: Case Study in a Tropical Groundwater Basin in Eastern India

Groundwater Vulnerability Assessment from a Drinking Water Perspective: Case Study in a Tropical Groundwater Basin in Eastern India

CBS Kullanılarak Yeraltı Suyu Kirlilik Hassasiyetinin Değerlendirilmesi: Harran Ovası Örneği

Assessment and Identification of drought prone zone in a Low Laying Area by AHP and MIF method: A GIS based study

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