scholarly journals A GIS-based Assessment of the Vulnerability to Potential Pollution of the Alluvial Aquifer of Aousja-Ghar El Melh (North-East of Tunisia) Using the Parametric Method DRASTIC

2021 ◽  
Vol 6 (2) ◽  
pp. 81-87
Author(s):  
Sarra Ouerghi
Keyword(s):  
Parametric Method ◽  
Groundwater Vulnerability ◽  
Alluvial Aquifer ◽  
Chemical Fertilizers ◽  
Domestic Consumption ◽  
North East ◽  
Economic Weight ◽  
Drastic Method ◽  
Industrial Zones ◽  
Potential Pollution

The phreatic aquifer of Aousja-Ghar El Melh (governorate of Bizerta, northeast of Tunisia), has a great economic weight as it is tightly linked to irrigation and domestic consumption. The aquifer area is found mostly in agricultural zones where more and more chemical fertilizers are being used. Such chemical fertilizers, alongside industrial zones discharges appearing for the last 25 years, put at risk ground waters quality. The DRASTIC method has been applied to study the extent to which the aquifer has been affected by generic pollutants. This method hinges on GIS techniques. The result suggests a map with evidence for three degrees of vulnerability: low, moderate, and high. Evidence shows the predominance of moderate vulnerability in most of Aousja-Ghar El Melh aquifer, which occupies an area of 45%. Low and high groundwater vulnerability occupy 28% and 27% of the total surface of the studied area, respectively.

scholarly journals GROUNDWATER VULNERABILITY ASSESSMENT USING DRASTIC MODEL OF UP AL-KHASSA DAM SUB-BASIN, KIRKUK, NE IRAQ

2020 ◽  
Vol 53 (2E) ◽  
pp. 12-24
Author(s):  
Madyan Al-Gburi
Keyword(s):  
Vulnerability Assessment ◽  
Groundwater Vulnerability ◽  
Aquifer Vulnerability ◽  
Drastic Model ◽  
Drastic Method ◽  
Groundwater Vulnerability Assessment ◽  
Arc Gis ◽  
Vulnerability Map ◽  
Gis Software ◽  
Program Version

Several studies and assessments have been conducted of areas exposed to pollution, especially areas that contain aquifer. The final extraction of the vulnerability map of the groundwater was constructed through the use of the DRASTIC method by applying the linear equation of the seven coefficients in the Arc GIS software program (Version 10.4). The aim of the study to assess aquifer vulnerability to pollution. Results, vulnerability map range between 75-126 (very low, low, and medium), the study area consists of very low and low vulnerability, except some areas medium vulnerability close to the center of the sub-basin in the standard vulnerability map (s) and 91-149 (very low, low, and medium) for the agriculture or pesticide vulnerability map (p), the medium vulnerability occupies a greater area the center of the sub-basin.

scholarly journals Groundwater vulnerability assessment to pollution in Kasihan, Bantul Regency: A comparative method study (GOD, SINTACS and DRASTIC)

2020 ◽  
Vol 200 ◽  
pp. 02012
Author(s):  
Ignasius Loyola Setyawan Purnama ◽  
Vincentia Anindha Primacintya
Keyword(s):  
Groundwater Level ◽  
Vulnerability Assessment ◽  
Rock Type ◽  
Comparative Method ◽  
Groundwater Vulnerability ◽  
Vulnerability Index ◽  
Vulnerability Assessments ◽  
Drastic Method ◽  
Groundwater Vulnerability Assessment ◽  
Aquifer Type

Groundwater vulnerability to pollution refers to the ease with which pollutants reach groundwater, in other words indicating the level of ease of an area to experience pollution. At present, the theme is one of the themes that attracts many researchers because pollution is more frequent in an area. The purpose of this study is to assess groundwater vulnerability in the study area for pollution using the GOD method and conduct a study of 3 groundwater vulnerability assessments, to determine the most appropriate assessment to be applied in the study area. The method used to determine groundwater vulnerability to pollution is GOD, which uses three parameters to assess the vulnerability of groundwater, namely aquifer type, rock type above aquifer and groundwater level. Furthermore, the results of the vulnerability assessment using the GOD method are compared with the vulnerability assessment according to the SINTACS and DRASTIC methods that have been carried out before in this area. The results showed that the variation of groundwater vulnerability index values in the study area according to the GOD method was from 0.35 to 0.63. Locations that are classified as medium vulnerability are generally located in the limestone Sentolo Formation, while locations that are classified as high vulnerability class are located in the volcanic rock of Yogyakarta Formation. Noting the results of determining groundwater vulnerability from the three methods, it can be said that the three methods are suitable for assessing groundwater vulnerability in the study area. However, looking at the distribution pattern of the level of pollution, the DRASTIC method can provide more detailed results related to the level of vulnerability.

Groundwater vulnerability map for the Ebro alluvial aquifer between Jalón and Ginel tributaries (Spain)

2007 ◽  
Vol 53 (4) ◽  
pp. 861-878 ◽  
Author(s):  
M. T. Lamelas ◽  
O. Marinoni ◽  
A. Hoppe ◽  
J. de la Riva
Keyword(s):  
Groundwater Vulnerability ◽  
Alluvial Aquifer ◽  
Vulnerability Map

scholarly journals 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

2017 ◽  
Vol 17 (8) ◽  
pp. 1375-1392 ◽  
Author(s):  
Keita Souleymane ◽  
Tang Zhonghua
Keyword(s):  
Sensitivity Analysis ◽  
River Basin ◽  
Fuzzy Optimization ◽  
Groundwater Vulnerability ◽  
Optimization Methods ◽  
Integrated Analysis ◽  
Fuzzy Method ◽  
Senegal River ◽  
Drastic Method ◽  
Senegal River Basin

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 DRASTIC 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.

scholarly journals Evaluation of Groundwater Vulnerability with Improved DRASTIC Method

2011 ◽  
Vol 10 ◽  
pp. 2690-2695 ◽  
Author(s):  
You-Hailin ◽  
Xu-Ligang ◽  
Ye-Chang ◽  
Xu-Jiaxing
Keyword(s):  
Groundwater Vulnerability ◽  
Drastic Method

scholarly journals DRASTIC and GOD vulnerability maps of the Cabril River Basin, Portugal

2014 ◽  
Vol 67 (2) ◽  
pp. 133-142 ◽  
Author(s):  
Luís Filipe Sanches Fernandes ◽  
Leila Vanessa Rodrigues Queirós Cardoso ◽  
Fernando António Leal Pacheco ◽  
Sérgio Leitão ◽  
Joao Paulo Moura
Keyword(s):  
Rating Scale ◽  
Research Work ◽  
Groundwater Vulnerability ◽  
Physical Methods ◽  
Low Degree ◽  
Drastic Method ◽  
Vulnerability Maps ◽  
Mapping Techniques ◽  
The Town ◽  
High Depth

The main purpose of this study is to compare two methodologies, DRASTIC and GOD, applied to the basin of the Cabril River in determining groundwater vulnerability to pollution. The justification for the research work in this area relates to the fact that we are facing a basin adjoining the town of Vila Real (Portugal), with a propensity to expand into this area, and where there are many springs, both near the base of the basin and in hillside areas. As a result of the application, the GOD and DRASTIC maps were obtained. To better com-pare these final vulnerability maps, the conversion of the ranges of DRASTIC indices to a normal-ized scale from 0.0 to 1.0 value was performed, staying in the same rating scale as the GOD meth-od. It was observed, through the GOD method, that the area of the basin has mostly low or negligi-ble vulnerability, related to the high depth of the groundwater level and also to the low degree of confinement. Moreover, the results of the DRASTIC method indicate that most of the basin pre-sents medium to low vulnerability, especially in areas of higher altitude. However, both methods make high vulnerability correspond to areas covered by alluvium. It may be concluded from this study that the production of results using different methods of analysis, although with similar objectives, may differ in certain locations. Thus, the outlook for the future is that the vulnerability mapping techniques ought to include physical methods, improving the credibility of these studies.

scholarly journals A novel method of sensitivity analysis testing by applying drastic method and fuzzy optimization method to assess Groundwater vulnerability to pollution, case of Senegal River basin in Mali

2017 ◽  
Author(s):  
Keita Souleymane ◽  
Tang Zhonghua
Keyword(s):  
Sensitivity Analysis ◽  
Fuzzy Optimization ◽  
Groundwater Vulnerability ◽  
Optimization Method ◽  
Integrated Analysis ◽  
Fuzzy Method ◽  
Senegal River ◽  
Drastic Method ◽  
Senegal River Basin ◽  
Nitrate Distribution

Abstract. Vulnerability to groundwater pollution from Senegal 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 taking into account continuity of the parameters). The validation of this application has been tested by comparing the membership in groundwater and distribution of different classes of vulnerabilities established 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 by fuzzy method (passing by normalized model). An integrated analysis reveals that high class with 14.64 % (for the DRASTIC method), 21.68 % (for normalized DRASTIC method) and the very high grade 18.92 % (for that of fuzzy) are not the most dominant. In addition, a new method for sensitivity analysis was used to identify (and confirm) the main parameters which impact de vulnerability to pollution with fuzzy membership. And the results showed that vadose is the main parameter which impacts groundwater vulnerability to pollution while net recharge has the least contribution to pollution in the study area. It was found also that Fuzzy method better assesses the vulnerability to pollution with a coincidence rate of 81.13 % against 77.35 % for the DRASTIC method. These results are a guide for policy makers on protection areas sensitive to pollution and identification of the sites before later hosting the socio-economic infrastructures.

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