Indexing metadata

Studies on Assessment of Ground Water Pollution Vulnerability Index for CUTM Campus Paralakhemundi, Odisha through Application of “DRASTIC” Model


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Studies on Assessment of Ground Water Pollution Vulnerability Index for CUTM Campus Paralakhemundi, Odisha through Application of “DRASTIC” Model
 
2. Creator Author's name, affiliation, country Madusmita Ghadai; Department of Civil Engineering, Centurion University of Technology and Management, Odisha, India
 
2. Creator Author's name, affiliation, country Prafulla Kumar Panda; Department of Civil Engineering, Centurion University of Technology and Management, Odisha, India
 
2. Creator Author's name, affiliation, country Narasimham M. L.; Department of Civil Engineering, Centurion University of Technology and Management, Odisha, India
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijarsg.313)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) DRASTIC index, Groundwater vulnerability, GIS
 
4. Description Abstract

Nowadays, the prediction of pollution risk and the protection of groundwater is very important. The sub-surface hydro-geological environment influences the pollutant to migrate from surface to sub-surface water. So groundwater contamination can be minimized by delineating and monitoring vulnerable areas. The main objective of this paper is to find out the groundwater vulnerability index in CUTM campus, Paralakhemundi, Odisha using DRASTIC model. This model has seven hydro-geological parameters Depth of Groundwater (D), net Recharge (R), Aquifer media (A) Soil media (S) Topography (T) Impact of vadose zone (I) hydraulic Conductivity (C). Estimation of DRASTIC Index has done by multiplying each parameter weight by its rating corresponding to a particular location in the study area and summing the products of all seven parameters listed above. In order to assign the ratings, field and laboratory tests have been conducted. Based on DRASTIC index values it was observed that the vulnerability class in the study area falls between high vulnerability to very high vulnerability. The results provide important information for the local authorities and decision making personals for effective management of ground water resource. GIS software has been used for analysis and mapping the groundwater vulnerability index in the study area.

 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2017-10-10
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/809
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 6 (Year 2017)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
15. Rights Copyright and permissions

Copyright Terms & Conditions

Authors who publish with this journal agree to the following terms:

a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.

b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.

c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work

Cloud Publications reserves the right to amend/change the copyright policy; with/without notice.