scispace - formally typeset
Open Access

Assessment of the relative vulnerability of groundwater to pollution: a review and background paper for the conference workshop on vulnerability assessment

C Barber, +3 more
- Vol. 14, Iss: 23, pp 1147-1154
Reads0
Chats0
TLDR
In this paper, the authors present a review of existing approaches and discuss their merits and drawbacks in relation to attempts to validate the procedures and the overall aim is to produce, eventually, a method of vulnerability assessment applicable at regional (and in simplified form at State or National) scale.
Abstract
deterministic techniques are more appropriate for sub-regional predictive (quantitative) assessment and are tied to specific perceived processes. Probabilistic techniques are data intensive and involve groundwater numerical modelling as they are thus inappropriate for broad, regional vulnerability assessments based on readily available spatial variables. It is concluded that stochastic techniques offer more promise than other techniques involving weights-of-evidence modelling; new work in this area is described. We review here available approaches and discuss their merits and drawbacks in relation to attempts to validate the procedures. The overall aim is to produce, eventually, a method of vulnerability assessment applicable at regional (and in simplified form at State or National) scale, using information which is readily available from existing or planned databases. We regard data availability as essential in development of these models/assessment procedures, and below we evaluate the different methods against this constrain t. Assessment procedures

read more

Citations
More filters
Journal ArticleDOI

A GIS-based DRASTIC model for assessing aquifer vulnerability in Kakamigahara Heights, Gifu Prefecture, central Japan

TL;DR: Sensitivity analyses indicated that the removal of net recharge, soil media and topography causes large variation in vulnerability index, and net recharge and hydraulic conductivity were found to be more effective in assessing aquifer vulnerability than assumed by the DRASTIC model.
Journal ArticleDOI

A GIS based DRASTIC model for assessing groundwater vulnerability in shallow aquifer in Aligarh, India

TL;DR: In this article, the authors used the DRASTIC model in a Geographical Information System (GIS) environment to find out the groundwater vulnerable zones in shallow aquifers in Aligarh and its surrounding areas, which is one of the fastest growing big cities of north India.
Journal ArticleDOI

Assessing groundwater quality using GIS

TL;DR: In this paper, a GIS-based groundwater quality index (GQI) was proposed, which synthesizes different available water quality data (e.g., Cl−, Na+, Ca2+) by indexing them numerically relative to the WHO standards.
Journal ArticleDOI

A modified-DRASTIC model (DRASTICA) for assessment of groundwater vulnerability to pollution in an urbanized environment in Lucknow, India

TL;DR: In this article, a modified DRASTIC model named as DRASTICA was used, by including anthropogenic influence as a model parameter and the results were validated using nitrate concentration in ground water.
Journal ArticleDOI

The multivariate statistical structure of DRASTIC model

TL;DR: In this article, an assessment of aquifer intrinsic vulnerability was conducted in the Sordo river basin, a small watershed located in the Northeast of Portugal that drains to a lake used as public resource of drinking water.
References
More filters
Journal ArticleDOI

Evaluating Ground‐Water Vulnerability to Pesticides

TL;DR: In this paper, a methodology was developed to rank the relative vulnerability of ground-water areas to contamination by agriculturally applied pesticides by using the advectiondispersion equation for chemical transport in soils to develop the leaching potential index (LPI), which is an indicator of the relative susceptibility of each area.
Journal ArticleDOI

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

TL;DR: In this paper, the authors compared two simulation models, namely, the PRZM model and the DRASTIC index, to evaluate the potential for contamination of groundwater by agricultural chemicals.
Journal ArticleDOI

Assessing Pesticide Contamination to Ground Water: A Rapid Approach

TL;DR: In this article, a methodology has been developed for identifying hazardous pesticides/site combinations threatening ground-water contamination using a hazard to ground water hydrogeological screening model (DRASTIC) and employs a one-dimensional pesticide transport model (CMLS).
Related Papers (5)