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Content Provider | IEEE Xplore Digital Library |
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Author | Pathak, D.R. Hiratsuka, A. Awata, I. Luonan Chen |
Copyright Year | 2008 |
Description | Author affiliation: Grad. Sch. of Eng., Osaka Sangyo Univ., Osaka (Pathak, D.R.; Hiratsuka, A.; Awata, I.; Luonan Chen) |
Abstract | Recognition of groundwater vulnerability to pollution will help in protection groundwater sources and managing groundwater quality conflicts. The DRASTIC model has been used as a valuable tool for assessing groundwater vulnerability over the large geographical areas involving a variety of hydrogeological settings. DRASTIC index uses linear model to calculate the final vulnerability index and the factor that influence the groundwater vulnerability must be divided into ranges and then be given ratings. This system is unable to describe a continuous transition from the easiest to be polluted to the most difficult to be polluted that is fuzzy nature of the groundwater vulnerability to pollution. In this paper, GIS based fuzzy optimization model has been presented to evaluate the groundwater vulnerability to pollution by taking the fuzziness into consideration. Finally, the result is compared with DRASTIC method in a case study of Kathmandu Valley basin, Nepal. It is shown that the fuzzy optimization method incorporates more efficiently the fuzzy nature of the groundwater vulnerability to pollution and is more applicable in reality. |
Starting Page | 2716 |
Ending Page | 2719 |
File Size | 323121 |
Page Count | 4 |
File Format | |
ISBN | 9781424417476 |
DOI | 10.1109/ICBBE.2008.1011 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-05-16 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Fuzzy logic Geographic Information Systems Optimization methods Water pollution Fuzzy set theory Pattern recognition Protection Water resources Fuzzy systems Quality management |
Content Type | Text |
Resource Type | Article |
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