Combining Rule-Based Fuzzy Model with GIS to Predict Groundwater Vulnerability to Contamination

Pathak, Dhundi Raj; Hiratsuka, Akira; Awata, Isao; Chen, Luonan

doi:10.1061/41036(342)173

Cited by 4 publications

(3 citation statements)

References 13 publications

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“…Such activities are mainly concentrated in Tarai or Kathmandu valley using field survey (Pandey et al 2010; http:// www.gwrdb.gov.np/publications.php). Some studies using GIS and RS have assessed the groundwater potential in Kathmandu valley using GIS and RS (Pathak et al 2009;Pandey et al 2013). Reviewing the methods from the above studies applied to groundwater potential mapping, the current study will use GIS-based statistical model, i.e., 'Weight of Evidence' by assessing the association of the occurrence of the groundwater springs with in situ parameters that influence groundwater in the High Mountain Region of Central Nepal.…”

Section: Past Studiesmentioning

confidence: 99%

Mapping of groundwater spring potential zone using geospatial techniques in the Central Nepal Himalayas: A case example of Melamchi–Larke area

2019

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Studies assessing the groundwater spring potential in the Himalayan mountain slopes are very important for sustainable water resources management and build climate resilience in mountains, but such studies are few in the Himalayas. Hence, this paper attempts to identify the groundwater spring potential zone in the Central Himalayas of Nepal. About 412 groundwater springs were surveyed, which were mainly originated from the weathered, jointed or fractured rock aquifers in the high-grade metamorphosed rocks. Eleven influencing factors, viz., altitude, slope gradient, slope shape, relative relief, flow accumulation, drainage density, geology, lineament density, land use and vegetation density were considered in assessing the groundwater spring potential using the weight of evidence method. Weight indicating the probability of groundwater spring occurrence on multiple classes of each factor was calculated and finally summed up to determine the groundwater spring potential. Gentle slope, low relative relief, high flow accumulation, north-and east-facing slopes, denser lineament density, altitude class of 1500-2500 m, high vegetation density, and forest demonstrated a higher likelihood of spring occurrence. Validation of the groundwater spring potential map was successful, which implies the method can be replicated in a similar biophysical environment, where the hydrogeological or geophysical surveyed data is not available.

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Section: Past Studiesmentioning

confidence: 99%

Mapping of groundwater spring potential zone using geospatial techniques in the Central Nepal Himalayas: A case example of Melamchi–Larke area

2019

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“…Remote sensing (RS) and GIS have become popular among the scientific community due to their time and cost-effectiveness, particularly in regional-scale studies. Having started with applications in groundwater exploration, assessment, monitoring and recharge, now these techniques are even being used for predicting groundwater contamination (Babiker et al 2005;Rahman 2008;Chitsazan and Akhtari 2009;Pathak et al 2009;Saidi et al 2010). More recently Thapa et al (2017) have demonstrated the applicability of the geospatial modelling technique in the delineating the fluoride-contaminated zones.…”

Section: Introductionmentioning

confidence: 99%

GIS-based prediction of groundwater fluoride contamination zones in Telangana, India

et al. 2019

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Groundwater is the only perennial water resource available to rural communities, especially in semi-arid regions. This study aims to provide an overview of fluoride-contaminated groundwater in the Telangana, India, by predicting potentially affected areas. The prevalence of endemic fluorosis in different parts of Telangana has been widely reported. Therefore, it is necessary to demarcate the fluoride-affected areas to adopt the remedial measures. In this context, the available information on related environmental variables such as geological settings, hydro-morphological inputs, climatic information and soil properties have been integrated as thematic layers in an ArcGIS environment. The thematic layers and their features were assigned with suitable weights, which were normalised using the analytic hierarchy process to obtain final ranks and the weighted overlay analysis method was carried out to delineate the potential fluoride contamination (PFC) zones. The entire state was classified into four broad categories, i.e., very high (17.6%), high (15.8%), medium (32.7%) and low (33.9%), in terms of groundwater fluoride enrichment. A comparison of the output map and the reported data indicates that the PFC zone model could explain 68.7% of fluoride variation. This study is the first such attempt to offer a regional-scale PFC zone for an entire state and offers a first-hand insight into the severity of fluoride contamination.

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“…These are generally for the purpose of supporting decision-making and improving the uptake of information by synthesizing data to key points. Fuzzy logic applications for groundwater management have also been described, primarily for water quality-related issues such as drinking water protection (Singh et al 2008, Jinturkar et al 2010, aquifer vulnerability characterization (Gemitzi et al 2006, Nobre et al 2007, Pathak et al 2009, Masoumi and Kerachian 2010, human health risk assessment (Li et al 2007), hydrochemical characterization (Şen 2009) and groundwater remediation (Nasiri et al 2007). Much more broadly, fuzzy rule-based modelling for quantitative prediction of geophysical, biological and engineering systems has also been reported for quite some time (e.g.…”

Section: Introductionmentioning

confidence: 99%

The unbearable fuzziness of being sustainable: an integrated, fuzzy logic-based aquifer health index

Fleming

Wong

Graham

2014

Hydrological Sciences Journal

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We introduce a groundwater sustainability index offering a novel combination of features. It is holistic in the sense that it incorporates both water quantity and water quality indicators. The former employs the signalto-noise ratio of long-term trends estimated via robust regression; the latter uses concentration of the primary contaminant of concern. A fuzzy inference system integrates these unlike metrics. The system also explicitly encodes expert knowledge and stakeholder values, and directly acknowledges subjectivity in environmental condition "grading," through the use of linguistic rules and fuzzy sets, respectively. The fuzzy rule base is constructed such that poor environmental conditions captured by one measure are not hidden by good performance in another. A standard Mamdani (max-min) inference engine is used with centroid defuzzification. The outcome is an intuitively accessible index ranging from 0 to 100. The method is demonstrated using examples from the Abbotsford-Sumas aquifer, an important and managerially challenging transboundary (Canada-US) water resource.Key words environmental index; groundwater; applied fuzzy logic; water resource management; hydrogeology; transboundary L'insupportable flou de la durabilité : un indice intégré de la santé d'un aquifère basé sur la logique floue Résumé Nous présentons un indice de durabilité des eaux souterraines offrant une combinaison inédite de caractéristiques. Il est holistique dans le sens où il incorpore à la fois des indicateurs de quantité et de qualité de l'eau. Le premier indicateur emploie le rapport signal -bruit de tendances à long terme estimé par une régression robuste ; le second utilise la concentration du principal polluant incriminé. Un système d'inférence floue intègre ces différentes métriques. Le système code également explicitement les connaissances d'experts et les valeurs des intervenants et reconnaît directement la subjectivité de la classification de l'état de l'environnement par l'utilisation respective de règles linguistiques et d'ensembles flous. La base de règles floues est construite de telle sorte que de médiocres conditions environnementales indiquées par une mesure ne soient pas cachées par la bonne performance d'une autre. Un moteur d'inférence de Mamdani (max-min) standard a été utilisé avec concrétisation centroïde. Le résultat est un index intuitivement accessible allant de 0 à 100. La méthode est illustrée par des exemples de l'aquifère d'Abbotsford-Sumas, une importante ressource en eau transfrontière (Canada-États-Unis) dont la gestion est délicate.Mots clefs indice environnemental ; eaux souterraines ; application de la logique floue ; gestion des ressources en eau ; hydrogéologie ; aquifère transfrontalier

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Combining Rule-Based Fuzzy Model with GIS to Predict Groundwater Vulnerability to Contamination

Cited by 4 publications

References 13 publications

Mapping of groundwater spring potential zone using geospatial techniques in the Central Nepal Himalayas: A case example of Melamchi–Larke area

Mapping of groundwater spring potential zone using geospatial techniques in the Central Nepal Himalayas: A case example of Melamchi–Larke area

GIS-based prediction of groundwater fluoride contamination zones in Telangana, India

The unbearable fuzziness of being sustainable: an integrated, fuzzy logic-based aquifer health index

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