Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

Rahmati, Omid; Samani, Aliakbar Nazari; Mahdavi, Mohammad; Pourghasemi, Hamid Reza; Zeinivand, Hossein

doi:10.1007/s12517-014-1668-4

Cited by 488 publications

(242 citation statements)

References 69 publications

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“…Determining criteria weights. MCDA is an approach that allows map layers to be weighted in order to reflect their relative influences (Adiate et al 2012;Rahmati et al 2014). In this case, AHP was chosen over a variety of MCDA techniques to determine the weights of the factors/criteria.…”

Section: Methodsmentioning

confidence: 99%

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Rahmati

Zeinivand

Besharat

2015

Geomatics, Natural Hazards and Risk

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338

136

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Flood is considered to be the most common natural disaster worldwide during the last decades. Flood hazard potential mapping is required for management and mitigation of flood. The present research was aimed to assess the efficiency of analytical hierarchical process (AHP) to identify potential flood hazard zones by comparing with the results of a hydraulic model. Initially, four parameters via distance to river, land use, elevation and land slope were used in some part of the Yasooj River, Iran. In order to determine the weight of each effective factor, questionnaires of comparison ratings on the Saaty's scale were prepared and distributed to eight experts. The normalized weights of criteria/parameters were determined based on Saaty's nine-point scale and its importance in specifying flood hazard potential zones using the AHP and eigenvector methods. The set of criteria were integrated by weighted linear combination method using ArcGIS 10.2 software to generate flood hazard prediction map. The inundation simulation (extent and depth of flood) was conducted using hydrodynamic program HEC-RAS for 50-and 100-year interval floods. The validation of the flood hazard prediction map was conducted based on flood extent and depth maps. The results showed that the AHP technique is promising of making accurate and reliable prediction for flood extent. Therefore, the AHP and geographic information system (GIS) techniques are suggested for assessment of the flood hazard potential, specifically in no-data regions.

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Section: Methodsmentioning

confidence: 99%

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Rahmati

Zeinivand

Besharat

2015

Geomatics, Natural Hazards and Risk

Self Cite

338

136

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“…Las variables fueron pre-procesadas de acuerdo a su naturaleza y sobre ellas se aplicó el método MCDA mediante AHP, cuya aplicación a este tipo de estudios es explicada de forma clara por Rahmati et al (2015). El mapa resultante es realizado a partir de la obtención del Índice de Potencialidad de Aguas Subterráneas (GWPI, por sus siglas en inglés).…”

Section: Datos Y Métodosunclassified

Potencial para la exploración de aguas subterráneas en la Demarcación Hidrográfica Puyango Catamayo, Ecuador, utilizando un proceso de análisis jerárquico basado en SIG y teledetección

Macas-Espinosa¹,

López-Escobar²

2018

Rev. Teledetec.

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<p>The objective of this study is to apply geographic information systems and remote sensing techniques to map potential areas for groundwater exploration in the Puyango Catamayo hydrographic demarcation, based on free input data. The research’s primary data are a digital elevation model, satellite images, regional geology and rainfall. From the methodological point of view, Multi-Criteria Decision Analysis is applied, using an Analytic Hierarchy Process, which takes as thematic layers the rock permeability, the rainfall, the drainage density, the terrain slope, and the normalized difference vegetation index. Thus, the Groundwater Potential Index is obtained, which is used to map potential areas for groundwater exploration. The resulting map is compared with the existing data of the water point inventory, generated by the Ecuador’s National Institute of Meteorology and Hydrology. Data validation by this method shows that 30% of the water points are located in areas not suitable for groundwater exploration, while 70% are in favorable areas.</p>

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“…The database includes extensive information on features such as borehole yield, average depth, success rate, static groundwater level and electrical conductivity [3]. Although the value of this kind of information has been referred to in the past [6], our approach represents a methodological novelty in groundwater mapping because (1) borehole data has seldom (if ever) been used in practice with the degree of detail presented in this research; and (2) most of the existing literature relies on the inference of groundwater potential from indirect parameters such as lineament density, slope, geomorphological features, rainfall distribution, soil moisture and lithology [15][16][17][18]. Also, outcomes are presented at the commune scale, thus providing an overview of groundwater potential that is relevant at both national and local scales.…”

Section: Introductionmentioning

confidence: 99%

A Commune-Level Groundwater Potential Map for the Republic of Mali

Díaz-Alcaide

Martínez‐Santos

Villarroya

2017

Water

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Abstract:Groundwater represents an essential resource in sub-Saharan Africa, where several hundred million people rely on aquifers for domestic supply. This paper presents a method to map groundwater potential in the Republic of Mali based on a spatially-distributed database of 26,040 boreholes. The database includes exhaustive information on key parameters such as borehole location, success rate of borehole production, depth, yield, static groundwater level or water quality. Representative variables were classified and interpreted jointly to develop a groundwater potential index for each of the 703 communes in Mali. This provides a methodological novelty because groundwater potential studies typically rely on indirect indicators such as lineaments, slope, soil moisture and landforms. Also, such large borehole databases have seldom been used to estimate groundwater potential. The highest indexes were obtained for the areas in and around the River Niger's Inner Delta, including southern Tombouctou and the central parts of the Ségou and Mopti Regions. The lower Precambrian formations, which include the country's thoroughly populated southern plateau, had moderate scores. The lowest groundwater potential was found in the northern part of the Kayes and Koulikoro Regions, as well as in the entire region of Kidal. By providing results at the commune scale, these outcomes show that groundwater potential across the country's geological and hydrogeological units can be highly variable, and that local and regional-scale information may be useful for groundwater management purposes. These results are policy-relevant in a context of rapid change and population growth, where groundwater resources can be expected to be increasingly relied upon in the coming years.

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Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

Cited by 488 publications

References 69 publications

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Potencial para la exploración de aguas subterráneas en la Demarcación Hidrográfica Puyango Catamayo, Ecuador, utilizando un proceso de análisis jerárquico basado en SIG y teledetección

A Commune-Level Groundwater Potential Map for the Republic of Mali

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