Recharge Wells Site Selection for Artificial Groundwater Recharge in an Urban Area Using Fuzzy Logic Technique

Ghazavi, Reza; Babaei, Sahar; Erfanian, Mahdi

doi:10.1007/s11269-018-2020-7

Cited by 24 publications

(7 citation statements)

References 25 publications

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“…This method was introduced by Ebrahim Mamdani in 1975 and is also known as the Max-Min method (Banjarnahor, 2012). Mamdani is one of the control systems built using fuzzy set theory and one of the commonly used fuzzy methods (Ghazavi, 2018). This method consists of four processes: fuzzification, interference/rules determination, rules composition (aggregator), and defuzzification.…”

Section: Trapezoidmentioning

confidence: 99%

“…In general, DRASTIC parameters are divided into two to four classes. Ghazavi (2018) stated that the lower the groundwater level, then the deeper the artificial recharge construction, and it will affect high costs. On the other hand, shallow groundwater levels can also potentially accelerate the aquifer's saturation level so that it can not absorb water and turns into surface runoff.…”

Section: Drastic Clusteringmentioning

confidence: 99%

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Site selection for artificial recharge in Cisangkuy sub-watershed, West Java, using combined fuzzy logic and genetic algorithm

Ghiffari¹,

Widodo

2022

Ris.Geo.Tam

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The Cisangkuy sub-watershed is part of the Citarum watershed with ±300 km of river length. The total area is in line with the potential of water resources which is quite good, but over time the hydrological condition of the site has decreased. Decreasing the hydrological state is due to changes in land use and land cover from year to year and is indicated by high discharge and flooding in the rainy season. This study aims to find the optimal location of artificial recharge to maintain water balance in the Cisangkuy sub-watershed. Fuzzy logic is used for determining the location of artificial recharge by considering the input variable DRASTIC in the form of depth to groundwater level, net recharge, aquifer media, soil type, slope, vadose zone, and hydraulic conductivity. In addition, subtractive clustering is performed to obtain the class of each DRASTIC parameter. Furthermore, a genetic algorithm is carried out to get the optimal location of the artificial recharge zone. The priority zone is indicated by the high class of each DRASTIC parameter input. Combined fuzzy logic and genetic algorithm show that the optimal location for artificial recharge is in the northern part of the Cisangkuy sub-watershed, precisely in the Banjaran area.

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Section: Trapezoidmentioning

confidence: 99%

Section: Drastic Clusteringmentioning

confidence: 99%

Site selection for artificial recharge in Cisangkuy sub-watershed, West Java, using combined fuzzy logic and genetic algorithm

Ghiffari¹,

Widodo

2022

Ris.Geo.Tam

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“…Duhalde et al (2018) realizaram uma avaliação de base fuzzy da vulnerabilidade intrínseca da água subterrânea no Chile. Ghazavi et al (2018) selecionou locais para poços de recarga artificiais em uma área urbana no Irã usando técnicas de lógica fuzzy. Nadiri et al (2019) aplicou a lógica fuzzy para modelar as variações do nível do lençol freático na província do Azerbaijão Oriental, Irã.…”

Section: Artigosunclassified

Modelagem da favorabilidade à recarga das águas subterrâneas pelo paradigma da lógica difusa

2021

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As informações geográficas são imprecisas, o que significa que os limites entre fenômenos diferentes são confusos ou há heterogeneidade dentro de uma classe, devido a diferenças entre feições geológicas, pedológicas, geomorfológicas, vegetais e assim por diante. Métodos baseados em inteligência artificial (IA) fornecem soluções sensíveis à natureza imprecisa (fuzzy) do mundo real baseados em regras definidas por especialistas. A natureza incerta dos processos que controlam a recarga das águas subterrâneas em bacias hidrográficas permite que esses métodos possam ser aplicados na gestão das águas subterrâneas, auxiliando no planejamento e na tomada de decisão quanto ao uso da água e proteção de áreas vulneráveis. O objetivo deste trabalho foi definir áreas favoráveis para recarga das águas subterrâneas a partir de variáveis relacionadas amostradas próximas a poços de monitoramento em uma bacia hidrográfica em área de afloramento do Sistema Aquífero Guarani (SAG). Para isso, utilizou-se da lógica fuzzy para definir um sistema de inferência capaz de extrapolar espacialmente os dados amostrados pontualmente para toda a bacia hidrográfica, resultando em um mapa de favorabilidade à recarga baseado em variáveis relacionadas à textura e manejo do solo, feições de terreno e vegetação. O mapa síntese auxilia tanto o planejamento quanto a tomada de decisão do uso da terra considerando os processos hidrológicos em suas interfaces de superfície e subsuperfície. A partir dos resultados alcançados, estende-se a discussão sobre a importância das escolhas éticas nos processos de tomada de decisão em hidrogeologia relacionadas ao uso de métodos baseados em IA

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“…Moreover, recent attempts in the topic include the combination of multi-MCDA methods for the development of MAR suitability maps (Kamangar et al 2019 ; Kharazi et al 2019 ; Rajasekhar et al 2021 ; Hussaini et al 2021 ). Although the GIS-MCDA has extensively been adopted in order for examining the MAR technologies’ some variants, namely infiltration basins (Bonilla Valverde et al 2016 ; Tsangaratos et al 2017 ; Kazakis 2018 ; Zhang et al 2019 ; Papadopoulos et al 2022 ; Soliman et al 2022 ), subsurface dams (Chezgi et al 2016 ; Kharazi et al 2019 ), rainwater harvesting (Singh et al 2017 ; Chowdhury and Paul 2021 ; Tahvili et al 2021 ), and injection wells (Ahani Amineh et al 2017 ; Ghazavi et al 2018 ; Sandoval and Tiburan 2019 ; Aju et al 2021 ; Phankamolsil et al 2022 ), however, to the best of the authors’ knowledge, there have been no attempts so far regarding their utilization for VZR wells suitability mapping, except the work of Mouhoumed et al ( 2023 ).…”

Section: Introductionmentioning

confidence: 99%

An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey

Mouhoumed,

Ekmekcioğlu,

Özger

2024

Environ Sci Pollut Res

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Groundwater resources worldwide face significant challenges that require urgent implementation of sustainable measures for effective long-term management. Managed aquifer recharge (MAR) is regarded as one of the most promising management technologies to address the degradation of groundwater resources. However, in urban aquifers, locating suitable areas that are least vulnerable to contamination for MAR implementation is complex and challenging. Hence, the present study proposes a framework encapsulating the combined assessment of groundwater vulnerability and MAR site suitability analysis to pinpoint the most featured areas for installing drywells in Kayseri, Turkey. To extrapolate the vulnerable zones, not only the original DRASTIC but also its multi-criteria decision-making (MCDA)–based modified variants were evaluated with regard to different hydrochemical parameters using the area under the receiver operating characteristic (ROC) curve (AUC). Besides, the fuzzy analytical hierarchy process (FAHP) rationale was adopted to signify the importance level of criteria and the robustness of the framework was highlighted with sensitivity analysis. In addition, the decision layers and the attained vulnerability layer were combined using the weighted overlay (WOA). The findings indicate that the DRASTIC-SWARA correlates well with the arsenic (AUC = 0.856) and chloride (AUC = 0.648) and was adopted as the vulnerability model. Groundwater quality parameters such as chloride and sodium adsorption ratio, as well as the vadose zone thickness, were found to be the most significant decision parameters with importance levels of 16.75%, 14.51%, and 15.73%, respectively. Overall, 28.24% of the study area was unsuitable for recharge activities with high to very high vulnerability, while the remaining part was further prioritized into low to high suitability classes for MAR application. The proposed framework offers valuable tool to decision-makers for the delineation of favorable MAR sites with minimized susceptibility to contamination.

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Recharge Wells Site Selection for Artificial Groundwater Recharge in an Urban Area Using Fuzzy Logic Technique

Cited by 24 publications

References 25 publications

Site selection for artificial recharge in Cisangkuy sub-watershed, West Java, using combined fuzzy logic and genetic algorithm

Site selection for artificial recharge in Cisangkuy sub-watershed, West Java, using combined fuzzy logic and genetic algorithm

Modelagem da favorabilidade à recarga das águas subterrâneas pelo paradigma da lógica difusa

An integrated groundwater vulnerability and artificial recharge site suitability assessment using GIS multi-criteria decision making approach in Kayseri region, Turkey

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