scholarly journals Groundwater pollution risk mapping using modified DRASTIC model in parts of Hail region of Saudi Arabia

2017 ◽  
Vol 23 (1) ◽  
pp. 84-91 ◽  
Author(s):  
Izrar Ahmed ◽  
Yousef Nazzal ◽  
Faisal Zaidi
2015 ◽  
Vol 74 (2) ◽  
pp. 1303-1318 ◽  
Author(s):  
Izrar Ahmed ◽  
Yousef Nazzal ◽  
Faisal K. Zaidi ◽  
Nassir S. N. Al-Arifi ◽  
Habes Ghrefat ◽  
...  

2013 ◽  
Vol 807-809 ◽  
pp. 1469-1472
Author(s):  
Li Tang Hu ◽  
Tong Gao ◽  
Jing Rui Wang

Groundwater pollution under the intense of human activities in the Quanzhou coastal area strongly threatens the supply safety of groundwater sources. Based on hydrogeological conditions and the pollution load in this field, the multi-index evaluation method of pollution sources and improved DRASTIC model were employed to assess groundwater pollution risk. The rating and weights of each important factor were determined by expert evaluation method and three-level groundwater pollution risk index were obtained using ARCGIS software. The results show that groundwater pollution risk at the industrial-intensive areas are dominant. So it is necessary for government to control the emmision of pollutant from inducstry in the Quanzhou area.


2020 ◽  
Vol 200 ◽  
pp. 02002
Author(s):  
Syampadzi Nurroh ◽  
Totok Gunawan ◽  
Andri Kurniawan

Assessment of groundwater pollution risk is purposed to be of particular value for environmental management programs development, this research estimated and calculated of groundwater pollution risk potential in Yogyakarta City using DRASTIC Model, DRASTIC parameters developed as Depth to water (D), net Recharge (R), Aquifer media (A), Soil media (S), Topography (T), Impact of vadose zone (I), and Hydraulic conductivity (C), the weights and ratings assigned in this research were similar to the typical ratings suggested in the original Methode. The result final assessment that groundwater pollution risk potential are classifies 4, 27% of the area as having very low, 15, 12% of the area as having low, 20, 17 % as having moderate, 43, 10% as having high, and 17, 34% as having very high. The model was validated using E. Coli parameters as a represent of pollution risk where the results having exceeds 85% of total samples that a value exceeds from the standard of quality > 0 MPN/100 ml. However, this research is a preliminary to be continued in the further research.


2021 ◽  
Vol 30 (2) ◽  
pp. 355-364
Author(s):  
Ingershal G. Ravindranath ◽  
Venugopal Thirukumaran

Groundwater is the principle source of drinking water and protection of groundwater quality is an important issue meets out the increasing population and agricultural practices. The present research an attempt made to develop DRASTIC model to understand the groundwater contamination risk in Ponnaiyar River Basin (PRB), Tamil Nadu, India using geographical information system (GIS). GIS have been shown to be useful tools for assessing groundwater pollution hazard. According to Central Ground Water Board reports the PRB categorized by semi-critical groundwater development. In view of the extensive reliance on this basin, contamination of PRB groundwater became an alarming issue. To assess groundwater contamination risk in the PRB the parameters such as Groundwater depth, Net recharge, Aquifer media, Soil media, Topography, Impact of vadose zone and Hydraulic conductivity were selected. Based on the importance of groundwater contamination all the parameters were assigned to rank and weights. Then all the themes were integrated and classified into five categories such as very low (9.33%), low (26.54%), moderate (34.77%), high (22.38%) and very high (6.98) risk. To validate the DRASTIC model, nitrate concentration was selected and found that it is 81.53% accurate which reflects that, DRASTIC model is appropriate to understand groundwater pollution risk assessment. In the GSB groundwater is contaminated mainly due to extensive use of groundwater extraction for agriculture purpose. Groundwater risk index assessment is an effective tool for groundwater management in the PRB.


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