Bioclimatic comfort Effect of Different Land Use: The Case of Bingöl Province

Artan nüfus ve kentleşme, insan sağlığı üzerindeki baskıları tetiklemektedir. Bu baskılardan kurtulmak için insanoğlu çevresini değiştirmekte ve yeni yaşam alanları aramaktadır. Çalışma alanı olarak 1790 km2 büyüklüğündeki Bingöl ili ele alınmıştır. Çalışmada Landsat 5 TM uydusuna ait görüntüler elde edilerek, uzaktan algılama yöntemleriyle kontrollü sınıflama yapılmıştır. Mevcut arazi kullanım şekli, şehir yapısı, tarımsal alan, sulak alanlar, ormanlar ve  çıplak yüzeyler olarak 5 kategoriye ayrılmıştır. Sınıflandırılmış olan mevcut arazi örtüsü haritaları ile bulunduğu mevsimi temsil eden Ocak, Nisan, Temmuz ve Ekim aylarına ait Modis uydusuna ait termal görüntüler Arc-GIS programı ile çakıştırılmıştır. İstatiksel olarak mevcut arazi kullanım şekli ile biyoklimatik konfor arasında bir bağ aranmıştır. Çıkan sonuçlara göre orman örtüsünün ve sulak alanların yaz aylarında daha konforlu olduğu kış aylarında ise şehir yapısının daha konforlu olduğu belirlenmiştir.
Anahtar Kelimeler:

remote sensing, Arc-GIS

Bioclimatic Conservation Impact of Different Field Usage: Bingöl Province Case

Increasing population and urbanization are triggering pressures on human health. In order to get rid of these pressures, mankind is changing its enviroment and searching new life space. Bingöl province with a size of 1790 km2 was considered as a study area. In the study, images of Landsat 5 TM satellite were obtained and controlled classification was made by remote sensing methods. The current land use pattern was divided into 5 categories as urban structure, agricultural area, wetlands, forests and bare surfaces.The classified existing land cover maps and thermal images of the Modis satellites belong to the months in January, April, July and October in which represent the season was superposed by the Arc-GIS program. The link between bioclimatic comfort and existing land use patterns was searched statistically. According to the results, it was determined that forest cover and wetlands was more comfortable in the summer months and the city structure was more comfortable in the winter months.

___

  • • Alexander, L. V., Zhang, X., Peterson, T. C., Caesar, J., Gleason, B., Tank, A. M. G. K.,Vazquez-Aguirre, J. L. (2006). Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research-Atmospheres, 111(D5). doi:Artn D05109
  • • Arnfield, A. J. (2003). Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology, 23(1), 1-26. doi:10.1002/joc.859
  • • Becker, A., Inoue, S., Fischer, M., & Schwegler, B. (2012). Climate change impacts on international seaports: knowledge, perceptions, and planning efforts among port administrators. Climatic Change, 110(1-2), 5-29. doi:10.1007/s10584-011-0043-7
  • • Cetin, M. (2016). Determination of bioclimatic comfort areas in landscape planning: A case study of Cide Coastline. Turkish Journal of Agriculture-Food Science and Technology, 4(9), 800-804.
  • • Chen, Y. H., Zhan, W. F., Quan, J. L., Zhou, J., Zhu, X. L., & Sun, H. (2014). Disaggregation of Remotely Sensed Land Surface Temperature: A Generalized Paradigm. Ieee Transactions on Geoscience and Remote Sensing, 52(9), 5952-5965. doi:10.1109/Tgrs.2013.2294031
  • • Cho, K., Kim, Y., & Kim, Y. (2018). Disaggregation of Landsat-8 Thermal Data Using Guided SWIR Imagery on the Scene of a Wildfire. Remote Sensing, 10(1). doi:ARTN 105-10.3390/rs10010105
  • • Chrysoulakis, N., Lopes, M., San Jose, R., Grimmond, C. S. B., Jones, M. B., Magliulo, V., . . . Cartalis, C. (2013). Sustainable urban metabolism as a link between bio-physical sciences and urban planning: The BRIDGE project. Landscape and Urban Planning, 112, 100-117. doi:10.1016/j.landurbplan.2012.12.005
  • • El-Khoury, A., Seidou, O., Lapen, D. R., Que, Z., Mohammadian, M., Sunohara, M., & Bahram, D. (2015). Combined impacts of future climate and land use changes on discharge, nitrogen and phosphorus loads for a Canadian river basin. Journal of Environmental Management, 151, 76-86. doi:10.1016/j.jenvman.2014.12.012
  • • Eastman, J. (2001). IDRISI 32 release 2, guide to GIS and image processing volumes 1 and 2. Clark Labs, Clark University, Worcester.
  • • Fearnside, P. M. (2015). Emissions from tropical hydropower and the IPCC. Environmental Science & Policy, 50, 225-239. doi:10.1016/j.envsci.2015.03.002
  • • Felzer, B. S. (2012). Carbon, nitrogen, and water response to climate and land use changes in Pennsylvania during the 20th and 21st centuries. Ecological Modelling, 240, 49-63. doi:10.1016/j.ecolmodel.2012.05.00
  • • Gonzalez, A., Donnelly, A., Jones, M., Chrysoulakis, N., & Lopes, M. (2013). A decision-support system for sustainable urban metabolism in Europe. Environmental Impact Assessment Review, 38, 109-119. doi:10.1016/j.eiar.2012.06.007
  • • Gümüş, A. (2012). Ankara ili biyoiklimsel konfor analizi. Turkish Journal of Forestry, 13(1), 48-56.
  • • Rajczak, J., & Schar, C. (2017). Projections of Future Precipitation Extremes Over Europe: A Multimodel Assessment of Climate Simulations. Journal of Geophysical Research
  • • Seung-Hwan, Y., Jin-Yong, C., Sang-Hyun, L., Yun-Gyeong, O., & Koun, Y. D. (2013). Climate change impacts on water storage requirements of an agricultural reservoir considering changes in land use and rice growing season in Korea. Agricultural Water Management, 117, 43-54. doi:10.1016/j.agwat.2012.10.023
  • • Montvay, I., & Pietarinen, E. (1982). The Stefan Boltzmann Law at High-Temperature for the Gluon Gas. Physics Letters B, 110(2), 148-154. doi:Doi 10.1016/0370-2693(82)91024-3
  • • Tong, S. T. Y., Sun, Y., Ranatunga, T., He, J., & Yang, Y. J. (2012). Predicting plausible impacts of sets of climate and land use change scenarios on water resources. Applied Geography, 32(2), 477-489. doi:10.1016/j.apgeog.2011.06.014
  • • Toy, S., & Yılmaz, S. (2010). Peyzaj Tasarımında Biyoklimatik Konfor ve Yaşam Mekanları İçin Önemi. Atatürk Üniversitesi Ziraat Fakültesi Dergisi, 40(1), 133-139.
  • • van der Knaap, Y. A., Bakker, M. M., Alam, S. J., Witte, J.-P. M., Aerts, R., van Ek, R., & van Bodegom, P. M. (2018). Projected vegetation changes are amplified by the combination of climate change, socio-economic changes and hydrological climate adaptation measures. Land Use Policy, 72, 547-562.
  • • van Haren, R., van Oldenborgh, G. J., Lenderink, G., Collins, M., & Hazeleger, W. (2013). SST and circulation trend biases cause an underestimation of European precipitation trends. Climate Dynamics, 40(1-2), 1-20. doi:10.1007/s00382-012-1401-5
  • • Wu, L., Long, T. Y., Liu, X., & Guo, J. S. (2012). Impacts of climate and land-use changes on the migration of non-point source nitrogen and phosphorus during rainfall-runoff in the Jialing River Watershed, China. Journal of Hydrology, 475, 26-41. doi:10.1016/j.jhydrol.2012.08.022
  • • Zhan, W. F., Chen, Y. H., Zhou, J., Li, J., & Liu, W. Y. (2011). Sharpening Thermal Imageries: A Generalized Theoretical Framework From an Assimilation Perspective. Ieee Transactions on Geoscience and Remote Sensing, 49(2), 773-789. doi:10.1109/Tgrs.2010.2060342