USING MCDA AND GIS FOR LANDFILL SITE SELECTION: CENTRAL DISTRICTS OF ANTALYA PROVINCE

The aim of this study is to select new landfill sites in Antalya, Turkey which is the fifth biggest city according to the population, approximately 1.2 million. It is the first rank according to the population growth rate in Turkey. The city of Antalya is the touristic places and its climate is Medi...

Full description

Bibliographic Details
Main Authors: E. Aksoy, B. T. San
Format: Article
Language:English
Published: Copernicus Publications 2016-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/151/2016/isprs-archives-XLI-B2-151-2016.pdf
_version_ 1811324702912675840
author E. Aksoy
B. T. San
B. T. San
author_facet E. Aksoy
B. T. San
B. T. San
author_sort E. Aksoy
collection DOAJ
description The aim of this study is to select new landfill sites in Antalya, Turkey which is the fifth biggest city according to the population, approximately 1.2 million. It is the first rank according to the population growth rate in Turkey. The city of Antalya is the touristic places and its climate is Mediterranean climate. Therefore, choosing landfill site is very crucial and it affects the future of the city. Existing landfill site will not be sufficient in near future. The study was implemented in the Aksu, Dosemealti, Kepez, Konyaalti, and Muratpasa districts in Antalya. The study area has almost 1980 km-square. Twelve parameters which are geology, fault lines, landslides, river, lake, elevation, slope, aspect, population, rain, road network, and temperature data were determined. These parameters were assessed using Analytical Hierarchy Process (AHP) method and the weights of criteria layers were computed. Then, the computed weights were checked by the consistency index and consistency ratio which were found as 0.12 and 8.5%, respectively. The consistency index for 12 parameters should be lower than 1.48 and the consistency ratio should be less than 10%. This means that the constructed AHP matrix is suitable for analysis. Finally, the most suitable areas for landfill were computed according to the weights achieved from AHP matrix. The results were obtained in a range between 0.39 and 0.90. When the obtained results were compared with the existing landfill site called Kizilli area, the AHP score was found as 0.62. Therefore, new landfill area(s) should be selected from the determined results.
first_indexed 2024-04-13T14:20:11Z
format Article
id doaj.art-c893d5d4f4504d96b5530889b10f8f5e
institution Directory Open Access Journal
issn 1682-1750
2194-9034
language English
last_indexed 2024-04-13T14:20:11Z
publishDate 2016-06-01
publisher Copernicus Publications
record_format Article
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj.art-c893d5d4f4504d96b5530889b10f8f5e2022-12-22T02:43:32ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B215115710.5194/isprs-archives-XLI-B2-151-2016USING MCDA AND GIS FOR LANDFILL SITE SELECTION: CENTRAL DISTRICTS OF ANTALYA PROVINCEE. Aksoy0B. T. San1B. T. San2Akdeniz University, Vocational School of Tech. Sci., Dumlupinar Blv., 07058, Antalya, TurkeyAkdeniz University, Dept. of Geological Engineering, Dumlupinar Blv., 07058, Antalya, TurkeyAkdeniz University, Remote Sensing Research and Application Center, 07058, Antalya, TurkeyThe aim of this study is to select new landfill sites in Antalya, Turkey which is the fifth biggest city according to the population, approximately 1.2 million. It is the first rank according to the population growth rate in Turkey. The city of Antalya is the touristic places and its climate is Mediterranean climate. Therefore, choosing landfill site is very crucial and it affects the future of the city. Existing landfill site will not be sufficient in near future. The study was implemented in the Aksu, Dosemealti, Kepez, Konyaalti, and Muratpasa districts in Antalya. The study area has almost 1980 km-square. Twelve parameters which are geology, fault lines, landslides, river, lake, elevation, slope, aspect, population, rain, road network, and temperature data were determined. These parameters were assessed using Analytical Hierarchy Process (AHP) method and the weights of criteria layers were computed. Then, the computed weights were checked by the consistency index and consistency ratio which were found as 0.12 and 8.5%, respectively. The consistency index for 12 parameters should be lower than 1.48 and the consistency ratio should be less than 10%. This means that the constructed AHP matrix is suitable for analysis. Finally, the most suitable areas for landfill were computed according to the weights achieved from AHP matrix. The results were obtained in a range between 0.39 and 0.90. When the obtained results were compared with the existing landfill site called Kizilli area, the AHP score was found as 0.62. Therefore, new landfill area(s) should be selected from the determined results.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/151/2016/isprs-archives-XLI-B2-151-2016.pdf
spellingShingle E. Aksoy
B. T. San
B. T. San
USING MCDA AND GIS FOR LANDFILL SITE SELECTION: CENTRAL DISTRICTS OF ANTALYA PROVINCE
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title USING MCDA AND GIS FOR LANDFILL SITE SELECTION: CENTRAL DISTRICTS OF ANTALYA PROVINCE
title_full USING MCDA AND GIS FOR LANDFILL SITE SELECTION: CENTRAL DISTRICTS OF ANTALYA PROVINCE
title_fullStr USING MCDA AND GIS FOR LANDFILL SITE SELECTION: CENTRAL DISTRICTS OF ANTALYA PROVINCE
title_full_unstemmed USING MCDA AND GIS FOR LANDFILL SITE SELECTION: CENTRAL DISTRICTS OF ANTALYA PROVINCE
title_short USING MCDA AND GIS FOR LANDFILL SITE SELECTION: CENTRAL DISTRICTS OF ANTALYA PROVINCE
title_sort using mcda and gis for landfill site selection central districts of antalya province
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B2/151/2016/isprs-archives-XLI-B2-151-2016.pdf
work_keys_str_mv AT eaksoy usingmcdaandgisforlandfillsiteselectioncentraldistrictsofantalyaprovince
AT btsan usingmcdaandgisforlandfillsiteselectioncentraldistrictsofantalyaprovince
AT btsan usingmcdaandgisforlandfillsiteselectioncentraldistrictsofantalyaprovince