Evaluation of groundwater vulnerability to pesticides: A comparison between the pesticide drastic index and the PRZM leaching quantities

1989 ◽  
Vol 4 (3) ◽  
pp. 285-296 ◽  
Author(s):  
Olivier Banton ◽  
Jean-Pierre Villeneuve
Keyword(s):  
Groundwater Vulnerability ◽  
Drastic Index

scholarly journals Assessment and Estimating Groundwater Vulnerability to Pollution Using a Modified DRASTIC and GODS Models (Case Study: Malayer Plain of Iran)

2018 ◽  
Vol 4 (2) ◽  
pp. 433 ◽  
Author(s):  
Maryam Hosseini ◽  
Ali Saremi
Keyword(s):  
Nitrate Concentration ◽  
Groundwater Vulnerability ◽  
Drastic Model ◽  
Drastic Index ◽  
Parameters Uncertainty ◽  
Modified Drastic ◽  
Hamedan Province ◽  
Very High ◽  
Better Than

This study deals with the intrinsic vulnerability of groundwater reservoirs to pollution, by the use of two models DRASTIC and GODS, this study is done by taking samples from 17 water resources of Malayer plain Aquifer area of southern Hamedan Province, Iran. 30 physicochemical parameters and heavy metals have been studied and vulnerability of this aquifer to the nitrate concentration, was determined. The study showed that results from DRASTIC were better than GODS in Assessment and Estimating groundwater vulnerability to pollution, also DRASTIC model has been corrected, and compared the ability of these two models in vulnerability zoning has been evaluated. According to high correlation between DRASTIC index and nitrate concentration, ranking and weighting of nitrate pollutant is inserted in the DRASTIC equation, and zoning map of DRASTIC method has been calibrated by nitrate concentration. By this method, vulnerability zoning is determined between very low to very high, which shows the increase of DRASTIC index by nitrate concentration. DRASTIC parameters uncertainty has affected the zoning results in this method, but its calibration with nitrate concentration, gives more accurate vulnerability results.

scholarly journals Analisis Kerentanan Pencemaran Air Tanah di Kota Batu Menggunakan Analisis Multikriteria Spasial dengan Indeks DRASTIC

2019 ◽  
Vol 7 (2) ◽  
pp. 90-104 ◽  
Author(s):  
Luhur Akbar Devianto ◽  
Novia Lusiana ◽  
Fatwa Ramdani
Keyword(s):  
Surface Water ◽  
Multicriteria Analysis ◽  
Water Source ◽  
Groundwater Vulnerability ◽  
Clean Water ◽  
Factors Affecting ◽  
Groundwater Levels ◽  
Drastic Index ◽  
Geological Conditions ◽  
High Level

Groundwater and surface water are important sources of clean water which require an effective management. The use of groundwater and spring as exemplified by Batu City case – as part of Brantas watershed upstream – serves as raw water as well as clean water source for Batu City and Malang City population. Contamination of surface water and groundwater affects clean water supply as indicated by increasing nitrate, TDS, and E. Coli concentration. The study aims to analyze the vulnerability level of groundwater contamination by using spatial multicriteria analysis with DRASTIC index. The DRASTIC index is measured from some parameters such as surface water depth to water table, net recharge, aquifer media, soil media, topography, impact of vadose zone, and hydraulic conductivity to evaluate groundwater vulnerability. The results show that Batu City performs low vulnerability (86.93%) and medium vulnerability (13.07%) levels. The dominant factors affecting the level of vulnerability are groundwater levels, slope, and geological conditions across regions. Even though the DRASTIC modelling cannot specify the contamination levels of the different sources, this method is useful to identifying high-level contaminated land uses, managing water resources, and conserving groundwater sources.

Groundwater vulnerability and risk mapping of the Angad transboundary aquifer using DRASTIC index method in GIS environment

2009 ◽  
Vol 3 (2) ◽  
pp. 207-220 ◽  
Author(s):  
Mimoun Boughriba ◽  
Alae-eddine Barkaoui ◽  
Yassine Zarhloule ◽  
Zakariae Lahmer ◽  
Boubker El Houadi ◽  
...  
Keyword(s):  
Groundwater Vulnerability ◽  
Risk Mapping ◽  
Index Method ◽  
Transboundary Aquifer ◽  
Drastic Index ◽  
Gis Environment

scholarly journals Incorporating Remote Sensing Techniques To The DRASTIC Index To Assess Groundwater Vulnerability In The Mining Area of the Rio Sonora Aquifer in Northwestern Mexico

2021 ◽  
Author(s):  
DENISSE Archundia ◽  
Victor Vidaña-Guillen ◽  
Juan Valenzuela-Munguia ◽  
Francisco elizandro Molina Freaner
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Mining Industry ◽  
Groundwater Vulnerability ◽  
Mining Area ◽  
Aquifer Vulnerability ◽  
Modified Method ◽  
Drastic Index ◽  
Northwestern Mexico ◽  
Remote Sensing Techniques

Abstract Groundwater metal pollution is a major concern for societies, especially in areas where the mining industry is important. Index-based techniques, as the DRASTIC index, are often used to assess the intrinsic groundwater vulnerability and could be modified to evaluate the aquifer vulnerability to specific contaminants. Mines, mining wastes and related features are detectable with remote sensing techniques. In this work we evaluate the vulnerability of the Rio Sonora Aquifer to metallic pollution by the traditional DRASTIC method and by the addition of a land use (Lu) parameter in which possible sources of metals (detected by remote sensing) were considered (DRASTIC+Lu). The methodology allowed us to locate possible sources of metallic contamination. The Sonora River channel showed the higher vulnerability in both calculated vulnerability indices (DRASTIC and DRASTIC+Lu). Generally, the addition of the land use parameter caused a decrease in vulnerability but also a local increase where possible sources of metals were found. Thus, the modified method facilitated the identification of highly vulnerable areas which is relevant to better protect the studied aquifer.

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