Index-based groundwater vulnerability mapping using quantitative parameters

Dhar, Anirban; Kar, Amlanjyoti; Chakraborty, Durjoy

doi:10.1007/s12665-016-5395-x

Cited by 45 publications

(12 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the identification and calculation of the infiltration potential zoning index was very important in this study. The internal scores were evaluated using fieldwork data and the identification of the relative weight and score for each factor was achieved using the Analytical Hierarchy Process (AHP) method to ensure objective weight assignment [24,26,49]. The grid data structure consists of a pixel of 1 m × 1 m.…”

Section: Methodsmentioning

confidence: 99%

Delineating Groundwater Vulnerability and Protection Zone Mapping in Fractured Rock Masses: Focus on the DISCO Index

Meerkhan

Teixeira

Marques

et al. 2016

Water

View full text Add to dashboard Cite

Hard-rock catchments are considered to be source of valuable water resources for water supply to inhabitants and ecosystems. The present work aims to develop a groundwater vulnerability approach in the Caldas da Cavaca hydromineral system (Aguiar da Beira, Central Portugal) in order to improve the hydrogeological conceptual site model. Different types of information were overlaid, generating several thematic maps to achieve an integrated framework of key sectors in the study site. Thus, a multi-technical approach was used, encompassing field and laboratory techniques, whereby different types of data were collected from fields such as geology, hydrogeology, applied geomorphology and geophysics and hydrogeomechanics, with the fundamental aim of applying the so-called DISCO index method. All of these techniques were successfully performed and an intrinsic groundwater vulnerability to contamination assessment, based on the multicriteria methodology of GOD-S, DRASTIC-Fm, SINTACS, SI and DISCO indexes, was delineated. Geographic Information Systems (GIS) provided the basis on which to organize and integrate the databases and to produce all the thematic maps. This multi-technical approach highlights the importance of groundwater vulnerability to contamination mapping as a tool to support hydrogeological conceptualization, contributing to improving the decision-making process regarding water resources management and sustainability.

show abstract

Section: Methodsmentioning

confidence: 99%

Delineating Groundwater Vulnerability and Protection Zone Mapping in Fractured Rock Masses: Focus on the DISCO Index

Meerkhan

Teixeira

Marques

et al. 2016

Water

View full text Add to dashboard Cite

show abstract

“…3 themes are qualitatively reported in Table 2. The hydrologic significance and the contributions of these PPCFs parameters in groundwater vulnerability modeling/analysis have been scientifically established (Anirban et al 2016;Pradhan et al 2013). Nobre et al 2007Doumouya et al 2012Samake et al 2011).…”

Section: The Data Types Processing and Pollution Potential Conditionimentioning

confidence: 99%

“…This is because, the DRASTIC model often assumes that the contaminant has the mobility of water particularly the nitrate which is a highly mobile contaminant that originates from a variety of point and nonpoint sources such as nitrogenous fertilizers that usually increase nitrate contamination of groundwater resources especially in an extensive cultivated agricultural site (Qi and Gurdak 2006). However, it is not only nitrate compound that degrades groundwater quality, other physio-chemical parameters and heavy metals elements that derived their sources from other environmental activities including anthropogenic activities and weathering of source rocks and recharge from water bodies are also culprit to groundwater contamination (Singh et al 2015;De Vries and Simmer 2002;Anirban et al 2016). The consumption of such other chemical elements that are readily soluble in water is inimical to the body system.…”

Section: Model Validationmentioning

confidence: 99%

“…A close examination and identification of spatial mapping of these possible vulnerable zones to contamination via developing vulnerability predictive model are vital means of getting continuous supply of quality water even at regional scale. According to Anirban et al (2016), the subscribing to vulnerability assessment is an important yardstick for groundwater resources management particularly to monitor and control the future adverse effect of the unavoidable anthropogenic activities at/or near the earth's surface. For accurate assessment of groundwater vulnerability, several methods have been investigated including the process-based method, the statistical methods and the overlay and index methods.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of vulnerability modeling techniques in groundwater resources management: a comparative study

Mogaji

2018

Appl Water Sci

View full text Add to dashboard Cite

The sustainability management of groundwater resource globally is challenged by its vulnerability to pollution resulting from anthropogenic activities. In order to address this problem, the DRASTIC index model (DIM) method among the existing vulnerability modeling techniques is commonly used. OWA-DRASTIC index model (ODIM) technique is another recently developed method for the same task. This study investigated the application of these vulnerability-biased modeling methods in a multi-faceted geologic setting at Perak Province, Malaysia with the view of establishing their efficiencies. The models considered seven pollution potential conditioning factors (PPCFs) obtained from difference data sources. Applying the GIS-based multi-criterial algorithm of these models, the PPCFs were related for developing multi-parameters-based vulnerability index model equations. Groundwater vulnerability to pollution index (GVPI) maps was produced from the synthesized estimated results of the applied multi-parameters-based vulnerability index model equations. The reliability of the produced GVPI maps was established using analyzed groundwater quality data results. The obtained prediction accuracy results for the ODIM-based GVPI map and DIM-based GVPI map are 85.71 and 64.29%, respectively. Besides, the regression coefficient results obtained from the spatially estimate from the DIM and ODIM' vulnerability index's values relationship with the pH and manganese concentrations give 83 and 85% for the ODIM technique and 68 and 63% for the DIM technique, respectively. The overall results indicated that the applied ODIM method in the area is a better alternative to the conventional DIM method. The produced GVPI maps can be useful to regional planners and environmental managers entrusted with the protection of groundwater resource.

show abstract

“…For example, membership expresses the relations between two given parameters and also the degree of truth or falseness of these relations (Pacheco et al, 2015;Madhumita et al, 2016). This technique has been used by many authors -such as Pacheco et al (2015), Madhumita et al (2016), Pathak et al (2009), Sahoo et al (2016a, Saidi et al (2011) and Sener et al (2013) -but most of these studies assessed pollution risk Van der Weijden, 2011, 2012) and did not compare intrinsic with specific vulnerability or different types of sensitivity analyses with memberships to identify parameter impact on groundwater vulnerability to pollution.…”

mentioning

confidence: 99%

A novel method of sensitivity analysis testing by applying the DRASTIC and fuzzy optimization methods to assess groundwater vulnerability to pollution: the case of the Senegal River basin in Mali

Keita

Tang

2017

Nat. Hazards Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Vulnerability to groundwater pollution in the Senegal River basin was studied by two different but complementary methods: the DRASTIC method (which evaluates the intrinsic vulnerability) and the fuzzy method (which assesses the specific vulnerability by taking into account the continuity of the parameters). The validation of this application has been tested by comparing the connection in groundwater and distribution of different established classes of vulnerabilities as well as the nitrate distribution in the study area. Three vulnerability classes (low, medium and high) have been identified by both the DRASTIC method and the fuzzy method (between which the normalized model was used). An integrated analysis reveals that high classes with 14.64 % (for the DRASTIC method), 21.68 % (for the normalized DRAS-TIC method) and 18.92 % (for the fuzzy method) are not the most dominant. In addition, a new method for sensitivity analysis was used to identify (and confirm) the main parameters which impact the vulnerability to pollution with fuzzy membership. The results showed that the vadose zone is the main parameter which impacts groundwater vulnerability to pollution while net recharge contributes least to pollution in the study area. It was also found that the fuzzy method better assesses the vulnerability to pollution with a coincidence rate of 81.13 % versus that of 77.35 % for the DRASTIC method. These results serve as a guide for policymakers to identify areas sensitive to pollution before such sites are used for socioeconomic infrastructures.

show abstract

Index-based groundwater vulnerability mapping using quantitative parameters

Cited by 45 publications

References 41 publications

Delineating Groundwater Vulnerability and Protection Zone Mapping in Fractured Rock Masses: Focus on the DISCO Index

Delineating Groundwater Vulnerability and Protection Zone Mapping in Fractured Rock Masses: Focus on the DISCO Index

Application of vulnerability modeling techniques in groundwater resources management: a comparative study

A novel method of sensitivity analysis testing by applying the DRASTIC and fuzzy optimization methods to assess groundwater vulnerability to pollution: the case of the Senegal River basin in Mali

Contact Info

Product

Resources

About