GIS and AHP Based Site Suitability for Sewage Treatment Plant in Sultanpur District, India
Ruchin Agrawal1, Amitabh Kumar Srivastava2, Anjani Kumar Nigam3
1Ruchin Agrawal, Assistant Professor, Department of Civil Engineering Bundelkhand Institute of Engineering and Technology, Jhansi, India.
2Amitabh Kumar Srivastava, Professor, Department of Civil Engineering Bundelkhand Institute of Engineering and Technology, Jhansi, India.
3Anjani Kumar Nigam, Professor, Department of Civil Engineering Bundelkhand Institute of Engineering and Technology, Jhansi, India.
Manuscript received on 10 April 2019 | Revised Manuscript received on 17 April 2019 | Manuscript Published on 26 July 2019 | PP: 961-964 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F11960486S419/19©BEIESP | DOI: 10.35940/ijitee.F1196.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Sewage generated from the urban areas is creating an unwanted burden on the environment. This makes it necessary for the urban areas to have the facility of sewage treatment plant. But where? As the STP have with them associated environmental and other risks, high cost of land and other factors making this decision a tricky one. It is at this juncture where technology in the form of GIS and AHP comes in picture to rescue the planners and decision-makers. In the present study it is shown how the GIS and AHP methods can be used to shortlist and rank the various site to be used to house a sewage treatment plant. STP site (S5) was found to be top-ranked among all other sites.
Keywords: AHP, GIS, Ranking, Site Selection, STP.
Scope of the Article: Computational Techniques in Civil Engineering