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Identifying a suitable location for a faecal sludge treatment plant with population distribution in Tiruchirappalli District, Tamil Nadu, India | |
Author | Sayoji, Doddaka |
Call Number | AIT Thesis no.RS-17-22 |
Subject(s) | Sewage--Purification--Location--India--Tamil Nadu |
Note | A thesis report submitted in partial fulfillment of the requirements for the degree of Masters of Engineering in Remote Sensing and Geographic Information Systems |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. RS-17-22 |
Abstract | The importance of sludge treatment plant is increasing day by day with this there is a need to identify suitable location for constructing a treatment plant to keep the surroundings hygiene. In this study, Tiruchirappalli is selected be cause existing plant is discharging the faucal sludge into the U yyankondan River which is worst affected in causing health hazards to surrounding people as the river is passing in the middle of the city. Geographic information system GIS is a powerful tool for making decision for the use of natural resources. The main factor we considered is population as there is rapid growth in these days this should be taken into consideration. In this study, at first land use land cover classification is done classifying into built up and non - built up areas. The accuracy obtained from this classification is 86%. From this land use map percentage of built up is considered along with the reflectance’s and the census data and were undergone regression, thus population is estimated which shows an error of percentage 0.69%. The population data from census is projected into built up areas per pixel and then these populated pixels are grouped into various clusters based on distance. Then the centroid of each clusters are taken and is processed through a gravity model to obtain the suitable location for treatment plant. From this 10 suitable locations were obtained for the entire district and t he obtained location is checked with flood prone areas and also a service area is generated in order to obtain the appropriate location and to estimate the capacity of a treatment plant. Thus the final obtained location is safe and serves maximum number of population in t his district. Finally, suitable FSTP locations for Wards 43, 50, 53, 57, 60 were identified. The result showed that two suitable locations for the placement of FSTP plant. These two locations were served by the nearby wards. When compared with the proposed site which 113 kilometer far away these were very near and are safe from floods. |
Year | 2017 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. RS-17-22 |
Type | Thesis |
School | School of Engineering and Technology |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Remote Sensing (RS) |
Chairperson(s) | Sarawut Ninsawat |
Examination Committee(s) | Tripathi, Nitin Kumar;Shiro Ochi |
Scholarship Donor(s) | AIT Fellowship |
Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2017 |