Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/458704
Title: Urban sprawl analysis using gis and multi criteria techinques for sustainable development
Researcher: Rajkumar R
Guide(s): Elangovan K
Keywords: Urban Growth
Geographic Information System
Metropolitan Development
University: Anna University
Completed Date: 2021
Abstract: Urban growth is a worldwide phenomenon and the rate of urbanization has increased day by day. A rapid increase in population, urban development, and industrial growth is the high-inference factor that a city has well developed in all aspects. It is mostly determined by disorderly extension, expanded migration as well as the quick expanding populace. In this unique circumstance, land use and land spread change are viewed as the focal sections in current methodologies for overseeing common assets and checking ecological changes. In India, metropolitan development has brought genuine misfortunes to farming areas and water bodies. Urban development is answerable for a variety of urban ecological issues like diminished air quality, extended precipitation resulting in floods, increased temperature, and crumbling of water quality in the world. newlineOne of the detailed and valuable approaches to create land use characterization maps is the utilization of geospatial methods, namely remote sensing and Geographic Information System (GIS). It immensely improves the determination of zones assigned as horticultural, modern, and additionally urban areas of a district. Concerning Tiruppur district and its environmental factors, change in land use has been watched and new turns of events (agriculture, business, modern and urban) are rising each day. Consequently, the reasoning of this investigation is to assess land use/spread changes in Tiruppur district from 1991 to 2018. Measurement of spatial and transient dynamics of land use/spread changes are accomplished by utilizing two satellite pictures, ordering them by means of administered arrangement calculation and lastly applying post-characterization change discovery procedure in GIS. The expansion was seen in an agricultural area, built-up area and water body 1991 to 2018. As a result of which, woodland and desolate region followed a declining pattern newline
Pagination: xv,145p.
URI: http://hdl.handle.net/10603/458704
Appears in Departments:Faculty of Civil Engineering

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02_prelim pages.pdf4.26 MBAdobe PDFView/Open
03_content.pdf174.61 kBAdobe PDFView/Open
04_abstract.pdf11.36 kBAdobe PDFView/Open
05_chapter 1.pdf218.98 kBAdobe PDFView/Open
06_chapter 2.pdf97.93 kBAdobe PDFView/Open
07_chapter 3.pdf437.3 kBAdobe PDFView/Open
08_chapter 4.pdf866.23 kBAdobe PDFView/Open
09_chapter 5.pdf379.81 kBAdobe PDFView/Open
10_chapter 6.pdf537.05 kBAdobe PDFView/Open
11_chapter 7.pdf409.33 kBAdobe PDFView/Open
12_chapter 8.pdf444.28 kBAdobe PDFView/Open
13_annexures.pdf155.82 kBAdobe PDFView/Open
80_recommendation.pdf78.3 kBAdobe PDFView/Open
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