Araştırma Makalesi
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The Evaluation of the Impact of Urbanisation on Urban Thermal Environment in the Case of Aydın

Yıl 2019, Cilt: 2 Sayı: 1, 1 - 13, 29.07.2019

Öz

In cities, factors like the increase of the density
of the buildings together with the decrease of the vegetation surfaces form the
urban heat islands and cause negative effects on the urban thermal environment.
In this context, this study examines the relationship between land surface
temperature (LST), normalized difference vegetation index (NDVI) and building
density between the years 2005-2015 and evaluates their effects on urban
thermal environment in the case of neighborhoods of Efeler and İncirliova
districts of Aydın province, which are exposed to the rapid migration and
urbanization recently. In the study, Landsat TM5 dated 24 July 2005 and Landsat
8 dated 20 July 2015 satellite images were used in the calculation of LST and
NDVI values (USGS, 2018a). In addition, Imperviousness degree / building
density maps (Imperviousness degree-IMD) for 2006 and 2015, obtained from the
website of Copernicus Land Observation Services (Copernicus Land Monitoring
Service-CLMS, 2018), were also used. In the study, surface temperature models
were produced from the thermal bands of Landsat satellite images of July, which
is the hottest and driest of Aydın province, and the relationships between
these models and the values of NDVI and IMD were analysed. It was found that
the increase in the density of the building areas and the decreasing vegetation
surface ratio between the years of 2005 and 2015 caused an increase of 3.19℃ in
the land surface temperature in Efeler and İncirliova districts of Aydın
province. Also, it was found that whilst the correlation between land surface
temperature and NDVI was negative, the correlation between land surface
temperature and IMD was positive. As a consequence, this study has made
suggestions to prevent urban heat island (UHI) effect and to mitigate its
negative influences on urban thermal environments in Efeler and İncirliova
districts of Aydın province.

Kaynakça

  • Aygün, C., Sever, A. L., İsmail, K. A. R. A., Erdoğdu, İ., & Atalay, A. K. (2016). Eskişehir Meralarında Otlatmanın Planlamasında NDVI Verilerinin Kullanılması. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, 25(1).
  • Cao, X., Onishi, A., Chen, J., & Imura, H. (2010). Quantifying the cool island intensity of urban parks using ASTER and IKONOS data. Landscape and urban planning, 96(4), 224-231.
  • Chander, G., Markham, B. L., & Barsi, J. A. (2007). Revised Landsat-5 thematic mapper radiometric calibration. IEEE Geoscience and remote sensing letters, 4(3), 490-494. Chen, A., Yao, X. A., Sun, R., & Chen, L. (2014). Effect of urban green patterns on surface urban cool islands and its seasonal variations. Urban forestry & urban greening, 13(4), 646-654.
  • Chen, X. L., Zhao, H. M., Li, P. X., & Yin, Z. Y. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote sensing of environment, 104(2), 133-146.
  • Chudnovsky, A., Ben-Dor, E., & Saaroni, H. (2004). Diurnal thermal behavior of selected urban objects using remote sensing measurements. Energy and Buildings, 36(11), 1063-1074.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. 2nd. Copernicus Land Monitoring Service (CLMS). (2018). Imperviousness. https://land.copernicus.eu/pan-european/high-resolution-layers/imperviousness/status-maps adresinden erişildi.
  • Cui, Y. Y., & De Foy, B. (2012). Seasonal variations of the urban heat island at the surface and the near-surface and reductions due to urban vegetation in Mexico City. Journal of Applied Meteorology and Climatology, 51(5), 855-868.
  • Deniz, B., Tunçay, H. E., Küçükerbaş, E. V. (2005). Determination of the Land Use Change Pattern: The Case of City of Aydin, Turkey. X. European Ecological Congress, Kuşadası, Türkiye, 08/11/2005.
  • Du, H., Wang, D., Wang, Y., Zhao, X., Qin, F., Jiang, H., & Cai, Y. (2016). Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration. Science of the Total Environment, 571, 461-470.
  • Frumkin, H., & McMichael, A. J. (2008). Climate change and public health: thinking, communicating, acting. American journal of preventive medicine, 35(5), 403-410.
  • Inc, S. P. S. S. Released 2007. SPSS for Windows, version 16.0. Chicago, SPSS inc.
  • Jennings, D. B., Jarnagin, S. T., & Ebert, D. W. (2004). A modeling approach for estimating watershed impervious surface area from National Land Cover Data 92.
  • Photogrammetric Engineering & Remote Sensing, 70(11), 1295-1307.
  • Jin, M. S., Kessomkiat, W., & Pereira, G. (2011). Satellite-observed urbanization characters in Shanghai, China: aerosols, urban heat island effect, and land–atmosphere interactions. Remote Sensing, 3(1), 83-99.
  • Julien, Y., Sobrino, J. A., & Verhoef, W. (2006). Changes in land surface temperatures and NDVI values over Europe between 1982 and 1999. Remote Sensing of Environment, 103(1), 43-55.
  • Kaplan, G., Avdan, U., & Avdan, Z. Y. (2018, March). Urban Heat Island Analysis Using the Landsat 8 Satellite Data: A Case Study in Skopje, Macedonia. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 2, No. 7, p. 358).
  • Karnieli, A., Agam, N., Pinker, R. T., Anderson, M., Imhoff, M. L., Gutman, G. G., ... & Goldberg, A. (2010). Use of NDVI and land surface temperature for drought assessment: Merits and limitations. Journal of climate, 23(3), 618-633.
  • Kesgin, B., & Nurlu, E. (2009). Land cover changes on the coastal zone of Candarli Bay, Turkey using remotely sensed data. Environmental monitoring and assessment, 157(1-4), 89-96.
  • Kiziroğlu, A. M. (2017). Türkiye'nin Nüfus Değişimine Göre İl Bazında Kentleşmesine Bir Bakış (1965-2014). Karadeniz Sosyal Bilimler Dergisi, 9(16), 153-183.
  • Klein, P. M., & Coffman, R. (2015). Establishment and performance of an experimental green roof under extreme climatic conditions. Science of the Total Environment, 512, 82-93.
  • Lee, S. H., Song, C. K., Baik, J. J., & Park, S. U. (2009). Estimation of anthropogenic heat emission in the Gyeong-In region of Korea. Theoretical and Applied Climatology, 96(3-4), 291-303.
  • Montávez, J. P., Rodríguez, A., & Jiménez, J. I. (2000). A study of the urban heat island of Granada. International journal of climatology, 20(8), 899-911.
  • Ng, E., Chen, L., Wang, Y., & Yuan, C. (2012). A study on the cooling effects of greening in a high-density city: An experience from Hong Kong. Building and Environment, 47, 256-271.
  • Oke, T. R. (1973). City size and the urban heat island. Atmospheric Environment (1967), 7(8), 769-779.
  • Oliveira, S., Andrade, H., & Vaz, T. (2011). The cooling effect of green spaces as a contribution to the mitigation of urban heat: A case study in Lisbon. Building and Environment, 46(11), 2186-2194.
  • Reçber, N., & Şengül, H. (2018). Türkiye'de Hızlı Kentleşen 10 İlin Kentleşme Seviyesi Tespiti Çalışması. Sosyoekonomi, 26.
  • Saaroni, H., & Ziv, B. (2003). The impact of a small lake on heat stress in a Mediterranean urban park: the case of Tel Aviv, Israel. International journal of Biometeorology, 47(3), 156-165.
  • Sobrino, J. A., Jimenez-Munoz, J. C., & Paolini, L. (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of environment, 90(4), 434-440.
  • Streiling, S., & Matzarakis, A. (2003). Influence of single and small clusters of trees on the bioclimate of a city: a case study. Journal of Arboriculture, 29(6), 309-316.
  • Streutker, D. R. (2003). A study of the urban heat island of Houston, Texas (Doctoral dissertation, Rice University).
  • The United States Geological Survey (USGS). (2018a). EarthExplorer – Home. https://earthexplorer.usgs.gov/ adresinden erişildi.
  • The United States Geological Survey (USGS). (2018b). Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges.
  • https://landsat.usgs.gov/sites/default/files/documents/L5_TM_Cal_2003.pdf adresinden erişildi.
  • The United States Geological Survey (USGS). (2018c). Landsat 8 Data Users Handbook - Section 5. https://landsat.usgs.gov/landsat-8-l8-data-users-handbook-section-5 adresinden erişildi.
  • The United States Geological Survey (USGS). (2018d). What are the band designations for the Landsat satellites? Retrieved July 7, 2018, USGS (2018d) https://landsat.usgs.gov/what-are-band-designations-landsat-satellites adresinden erişildi.
  • Tomlinson, C. J., Chapman, L., Thornes, J. E., & Baker, C. J. (2011). Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK. International journal of health geographics, 10(1), 42.
  • Türkeş, M. (2008). Küresel iklim değişikliği nedir? Temel kavramlar, nedenleri, gözlenen ve öngörülen değişiklikler. İklim Değişikliği ve Çevre, 1(1), 26-37.
  • Türkeş, M., Sümer, U. M., Demı̇r, İ. (2002). Re‐evaluation of trends and changes in mean, maximum and minimum temperatures of Turkey for the period 1929–1999. International Journal of Climatology, 22(8), 947-977.
  • Türkiye İstatistik Kurumu (TÜİK). (2019). İstatistik Göstergeler. İl Göstergeleri, Toplam Nüfus. 2017 yılı İl ve İlçe Nüfusları. https://biruni.tuik.gov.tr/ilgosterge/?locale=tr adresinden erişildi.
  • Weng, Q., Lu, D., & Schubring, J. (2004). Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote sensing of Environment, 89(4), 467-483.
  • Xian, G., & Crane, M. (2006). An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data. Remote Sensing of environment, 104(2), 147-156.
  • Xiao, R. B., Ouyang, Z. Y., Zheng, H., Li, W. F., Schienke, E. W., & Wang, X. K. (2007). Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China. Journal of Environmental Sciences, 19(2), 250-256.
  • Yang, G., Bowling, L. C., Cherkauer, K. A., Pijanowski, B. C., & Niyogi, D. (2010). Hydroclimatic response of watersheds to urban intensity: an observational and modeling-based analysis for the White River Basin, Indiana. Journal of Hydrometeorology, 11(1), 122-138.
  • Yang, X., Hou, Y., Chen, B. (2011). Observed surface warming induced by urbanization in east China. Journal of Geophysical Research: Atmospheres, 116(D14), 1-12.
  • Yue, W., Xu, J., Tan, W., & Xu, L. (2007). The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data. International Journal of Remote Sensing, 28(15), 3205-3226.
  • Zhao, W., Li, A. N., & Zheng, J. (2016). A study on land surface temperature terrain effect over mountainous area based on Landsat 8 thermal infrared data. Remote Sensing Technology and Application, 31(1), 63-73.

Kentleşmenin Kentsel Termal Çevre Üzerindeki Etkisinin Değerlendirilmesi, Efeler ve İncirliova (Aydın) Örneği

Yıl 2019, Cilt: 2 Sayı: 1, 1 - 13, 29.07.2019

Öz

Kentlerde zaman içinde yapı yoğunluğunun artması ve bitki
yüzeyinin azalması gibi etmenler, kentsel ısı adalarını oluşturmakta ve kentsel
termal çevre üzerinde olumsuz etkiler yaratmaktadır. Bu kapsamda bu çalışma ile
son zamanlarda hızla göç alan ve kentleşmenin yoğun olarak yaşandığı kentlerden
biri olan Aydın ili, Efeler ve İncirliova ilçelerinde yapılaşmaya en çok maruz
kalan merkez mahallelerde, 2005-2015 yılları arasında arazi yüzeyi sıcaklığı
(LST), normalize edilmiş farksal bitki indeksi (NDVI) ve yapı yoğunluğu
arasındaki ilişkiler incelenerek kentleşmenin kentsel termal çevre üzerindeki
etkileri değerlendirilmiştir. Çalışmada LST ve NDVI değerlerinin
hesaplanmasında 24 Temmuz 2005 yılına ait Landsat TM5 ve 20 Temmuz 2015 yılına
ait Landsat 8 uydu görüntüleri kullanılmıştır (USGS, 2018a). Ayrıca, Copernicus
Arazi Gözlem Hizmetlerinin (Copernicus Land Monitoring Service-CLMS, 2018) web
sitesinden elde edilen 2006 ve 2015 yıllarına ait geçirimsizlik derecesi / yapı
yoğunluğu (Imperviousness degree-IMD) haritalarından da yararlanılmıştır. Çalışmada,
Aydın ilinin en sıcak ve kurak olduğu Temmuz ayına ait Landsat uydu
görüntülerinin termal bantlarından yüzey sıcaklık modelleri üretilmiş ve bunlar
ile NDVI ve yapı yoğunluğu değerleri arasındaki ilişkiler analiz edilmiştir. Aydın
ili, Efeler ve İncirliova ilçelerinin merkez mahallelerinde 2005-2015 yılları
arasında yapı alanları ile yoğunluğundaki artış ve sağlıklı bitki yüzey oranının
azalması, arazi yüzey sıcaklığında 3.19℃ artışa neden olduğu tespit edilmiştir.
Yüzey sıcaklıkları ile NDVI ve IMD değerleri arasındaki ilişkilerin de
incelendiği çalışmada, yüzey sıcaklıkları ile NDVI değerleri arasındaki
korelasyonun negatif, IMD ile ise pozitif olduğu saptanmıştır. Sonuç olarak, Efeler
ve İncirliova ilçeleri merkez mahalleleri örneğinde kentsel ısı adası (UHI) etkisinin
oluşumunun engellenmesi ve kentsel termal çevre üzerinde oluşturduğu olumsuz
etkilerin azaltılabilmesine yönelik önlemler ortaya konulmuştur.

Kaynakça

  • Aygün, C., Sever, A. L., İsmail, K. A. R. A., Erdoğdu, İ., & Atalay, A. K. (2016). Eskişehir Meralarında Otlatmanın Planlamasında NDVI Verilerinin Kullanılması. Tarla Bitkileri Merkez Araştırma Enstitüsü Dergisi, 25(1).
  • Cao, X., Onishi, A., Chen, J., & Imura, H. (2010). Quantifying the cool island intensity of urban parks using ASTER and IKONOS data. Landscape and urban planning, 96(4), 224-231.
  • Chander, G., Markham, B. L., & Barsi, J. A. (2007). Revised Landsat-5 thematic mapper radiometric calibration. IEEE Geoscience and remote sensing letters, 4(3), 490-494. Chen, A., Yao, X. A., Sun, R., & Chen, L. (2014). Effect of urban green patterns on surface urban cool islands and its seasonal variations. Urban forestry & urban greening, 13(4), 646-654.
  • Chen, X. L., Zhao, H. M., Li, P. X., & Yin, Z. Y. (2006). Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote sensing of environment, 104(2), 133-146.
  • Chudnovsky, A., Ben-Dor, E., & Saaroni, H. (2004). Diurnal thermal behavior of selected urban objects using remote sensing measurements. Energy and Buildings, 36(11), 1063-1074.
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. 2nd. Copernicus Land Monitoring Service (CLMS). (2018). Imperviousness. https://land.copernicus.eu/pan-european/high-resolution-layers/imperviousness/status-maps adresinden erişildi.
  • Cui, Y. Y., & De Foy, B. (2012). Seasonal variations of the urban heat island at the surface and the near-surface and reductions due to urban vegetation in Mexico City. Journal of Applied Meteorology and Climatology, 51(5), 855-868.
  • Deniz, B., Tunçay, H. E., Küçükerbaş, E. V. (2005). Determination of the Land Use Change Pattern: The Case of City of Aydin, Turkey. X. European Ecological Congress, Kuşadası, Türkiye, 08/11/2005.
  • Du, H., Wang, D., Wang, Y., Zhao, X., Qin, F., Jiang, H., & Cai, Y. (2016). Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration. Science of the Total Environment, 571, 461-470.
  • Frumkin, H., & McMichael, A. J. (2008). Climate change and public health: thinking, communicating, acting. American journal of preventive medicine, 35(5), 403-410.
  • Inc, S. P. S. S. Released 2007. SPSS for Windows, version 16.0. Chicago, SPSS inc.
  • Jennings, D. B., Jarnagin, S. T., & Ebert, D. W. (2004). A modeling approach for estimating watershed impervious surface area from National Land Cover Data 92.
  • Photogrammetric Engineering & Remote Sensing, 70(11), 1295-1307.
  • Jin, M. S., Kessomkiat, W., & Pereira, G. (2011). Satellite-observed urbanization characters in Shanghai, China: aerosols, urban heat island effect, and land–atmosphere interactions. Remote Sensing, 3(1), 83-99.
  • Julien, Y., Sobrino, J. A., & Verhoef, W. (2006). Changes in land surface temperatures and NDVI values over Europe between 1982 and 1999. Remote Sensing of Environment, 103(1), 43-55.
  • Kaplan, G., Avdan, U., & Avdan, Z. Y. (2018, March). Urban Heat Island Analysis Using the Landsat 8 Satellite Data: A Case Study in Skopje, Macedonia. In Multidisciplinary Digital Publishing Institute Proceedings (Vol. 2, No. 7, p. 358).
  • Karnieli, A., Agam, N., Pinker, R. T., Anderson, M., Imhoff, M. L., Gutman, G. G., ... & Goldberg, A. (2010). Use of NDVI and land surface temperature for drought assessment: Merits and limitations. Journal of climate, 23(3), 618-633.
  • Kesgin, B., & Nurlu, E. (2009). Land cover changes on the coastal zone of Candarli Bay, Turkey using remotely sensed data. Environmental monitoring and assessment, 157(1-4), 89-96.
  • Kiziroğlu, A. M. (2017). Türkiye'nin Nüfus Değişimine Göre İl Bazında Kentleşmesine Bir Bakış (1965-2014). Karadeniz Sosyal Bilimler Dergisi, 9(16), 153-183.
  • Klein, P. M., & Coffman, R. (2015). Establishment and performance of an experimental green roof under extreme climatic conditions. Science of the Total Environment, 512, 82-93.
  • Lee, S. H., Song, C. K., Baik, J. J., & Park, S. U. (2009). Estimation of anthropogenic heat emission in the Gyeong-In region of Korea. Theoretical and Applied Climatology, 96(3-4), 291-303.
  • Montávez, J. P., Rodríguez, A., & Jiménez, J. I. (2000). A study of the urban heat island of Granada. International journal of climatology, 20(8), 899-911.
  • Ng, E., Chen, L., Wang, Y., & Yuan, C. (2012). A study on the cooling effects of greening in a high-density city: An experience from Hong Kong. Building and Environment, 47, 256-271.
  • Oke, T. R. (1973). City size and the urban heat island. Atmospheric Environment (1967), 7(8), 769-779.
  • Oliveira, S., Andrade, H., & Vaz, T. (2011). The cooling effect of green spaces as a contribution to the mitigation of urban heat: A case study in Lisbon. Building and Environment, 46(11), 2186-2194.
  • Reçber, N., & Şengül, H. (2018). Türkiye'de Hızlı Kentleşen 10 İlin Kentleşme Seviyesi Tespiti Çalışması. Sosyoekonomi, 26.
  • Saaroni, H., & Ziv, B. (2003). The impact of a small lake on heat stress in a Mediterranean urban park: the case of Tel Aviv, Israel. International journal of Biometeorology, 47(3), 156-165.
  • Sobrino, J. A., Jimenez-Munoz, J. C., & Paolini, L. (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of environment, 90(4), 434-440.
  • Streiling, S., & Matzarakis, A. (2003). Influence of single and small clusters of trees on the bioclimate of a city: a case study. Journal of Arboriculture, 29(6), 309-316.
  • Streutker, D. R. (2003). A study of the urban heat island of Houston, Texas (Doctoral dissertation, Rice University).
  • The United States Geological Survey (USGS). (2018a). EarthExplorer – Home. https://earthexplorer.usgs.gov/ adresinden erişildi.
  • The United States Geological Survey (USGS). (2018b). Revised Landsat-5 TM Radiometric Calibration Procedures and Postcalibration Dynamic Ranges.
  • https://landsat.usgs.gov/sites/default/files/documents/L5_TM_Cal_2003.pdf adresinden erişildi.
  • The United States Geological Survey (USGS). (2018c). Landsat 8 Data Users Handbook - Section 5. https://landsat.usgs.gov/landsat-8-l8-data-users-handbook-section-5 adresinden erişildi.
  • The United States Geological Survey (USGS). (2018d). What are the band designations for the Landsat satellites? Retrieved July 7, 2018, USGS (2018d) https://landsat.usgs.gov/what-are-band-designations-landsat-satellites adresinden erişildi.
  • Tomlinson, C. J., Chapman, L., Thornes, J. E., & Baker, C. J. (2011). Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK. International journal of health geographics, 10(1), 42.
  • Türkeş, M. (2008). Küresel iklim değişikliği nedir? Temel kavramlar, nedenleri, gözlenen ve öngörülen değişiklikler. İklim Değişikliği ve Çevre, 1(1), 26-37.
  • Türkeş, M., Sümer, U. M., Demı̇r, İ. (2002). Re‐evaluation of trends and changes in mean, maximum and minimum temperatures of Turkey for the period 1929–1999. International Journal of Climatology, 22(8), 947-977.
  • Türkiye İstatistik Kurumu (TÜİK). (2019). İstatistik Göstergeler. İl Göstergeleri, Toplam Nüfus. 2017 yılı İl ve İlçe Nüfusları. https://biruni.tuik.gov.tr/ilgosterge/?locale=tr adresinden erişildi.
  • Weng, Q., Lu, D., & Schubring, J. (2004). Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote sensing of Environment, 89(4), 467-483.
  • Xian, G., & Crane, M. (2006). An analysis of urban thermal characteristics and associated land cover in Tampa Bay and Las Vegas using Landsat satellite data. Remote Sensing of environment, 104(2), 147-156.
  • Xiao, R. B., Ouyang, Z. Y., Zheng, H., Li, W. F., Schienke, E. W., & Wang, X. K. (2007). Spatial pattern of impervious surfaces and their impacts on land surface temperature in Beijing, China. Journal of Environmental Sciences, 19(2), 250-256.
  • Yang, G., Bowling, L. C., Cherkauer, K. A., Pijanowski, B. C., & Niyogi, D. (2010). Hydroclimatic response of watersheds to urban intensity: an observational and modeling-based analysis for the White River Basin, Indiana. Journal of Hydrometeorology, 11(1), 122-138.
  • Yang, X., Hou, Y., Chen, B. (2011). Observed surface warming induced by urbanization in east China. Journal of Geophysical Research: Atmospheres, 116(D14), 1-12.
  • Yue, W., Xu, J., Tan, W., & Xu, L. (2007). The relationship between land surface temperature and NDVI with remote sensing: application to Shanghai Landsat 7 ETM+ data. International Journal of Remote Sensing, 28(15), 3205-3226.
  • Zhao, W., Li, A. N., & Zheng, J. (2016). A study on land surface temperature terrain effect over mountainous area based on Landsat 8 thermal infrared data. Remote Sensing Technology and Application, 31(1), 63-73.
Toplam 46 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Ebru Ersoy Tonyaloğlu 0000-0002-2945-3885

Yayımlanma Tarihi 29 Temmuz 2019
Yayımlandığı Sayı Yıl 2019 Cilt: 2 Sayı: 1

Kaynak Göster

APA Ersoy Tonyaloğlu, E. (2019). Kentleşmenin Kentsel Termal Çevre Üzerindeki Etkisinin Değerlendirilmesi, Efeler ve İncirliova (Aydın) Örneği. Türkiye Peyzaj Araştırmaları Dergisi, 2(1), 1-13.