References
- 1. Ahmed, S., 2018, Assessment of urban heat islands and impact of climate change on socioeconomic over Suez Governorate using remote sensing and GIS techniques: Egyptian Journal of Remote Sensing and Space Sciences, v. 21, no. 1, p. 15-25.
- Akbari, H., Cartalis, C., Kolokotsa, D., Muscio, A., Pisello, A. L., Rossi, F., ... & Zinzi, M. 2016, Local climate change and urban heat island mitigation techniquesthe state of the art. Journal of Civil Engineering and Management, 22(1), 1-16.
- Bornstein, R. D., 1968, Observations of the urban heat island effect in New York City: Journal of Applied Meteorology and Climatology, v. 7, no. 4, p. 575-582.
- Butler, C. D., 2012, Infectious disease emergence and global change: thinking systemically in a shrinking world: Infectious Diseases of Poverty, v. 1, no. 1, p. 1-17.
- Chander, G., and Groeneveld, D. P., 2009, Intra-annual NDVI validation of the Landsat 5 TM radiometric calibration: International Journal of Remote Sensing, v. 30, no. 6, p. 1621-1628.
- Chander, G., and Markham, B., 2003, Revised Landsat-5 TM radiometric calibration procedures and postcalibration dynamic ranges: Ieee Transactions on Geoscience and Remote Sensing, v. 41, no. 11, p. 2674-2677.
- Chen, T. L., Li, X., Zhao, J., and Zhang, K., 2017, Impacts of cold weather on all-cause and cause-specific mortality in Texas, 1990-2011: Environmental Pollution, v. 225, p. 244-251.
- Childs, C., 2004, Interpolating surfaces in ArcGIS spatial analyst: ArcUser, July-September, v. 3235, no. 569, p. 32-35.
- Chow, F. K., De Wekker, S. F., and Snyder, B. J., 2013, Mountain weather research and forecasting: recent progress and current challenges, Springer.
- Connolly, A., Chow, F. K., and Hoch, S. W., 2021, Nested Large-Eddy Simulations of the Displacement of a Cold-Air Pool by Lee Vortices: Boundary-Layer Meteorology, v. 178, no. 1, p. 91-118.
- Daily, G. C., and Ehrlich, P. R., 1996, Global change and human susceptibility to disease: Annual Review of Energy and the Environment, v. 21, no. 1, p. 125-144.
- Dewan, A., Kiselev, G., Botje, D., Mahmud, G. I., Bhuian, M. H., and Hassan, Q. K., 2021, Surface urban heat island intensity in five major cities of Bangladesh: Patterns, drivers and trends: Sustainable Cities and Society, v. 71, p. 102926.
- ESRI, 2020, ArcGIS Pro Desktop. Release 2.5. 0, Environmental Systems Research Institute Redlands, CA, USA.
- Gintamo, T. T., Mengistu, H., and Kanyerere, T., 2021, GIS-based modelling of climate variability impacts on groundwater quality: Cape Flats aquifer, Cape Town, South Africa: Groundwater for Sustainable Development, v. 15.
- Goldblatt, R., Addas, A., Crull, D., Maghrabi, A., Levin, G. G., and Rubinyi, S., 2021, Remotely sensed derived land surface temperature (LST) as a proxy for air temperature and thermal comfort at a small geographical scale: Land, v. 10, no. 4, p. 410.
- Gonçalves, A., Ornellas, G., Castro Ribeiro, A., Maia, F., Rocha, A., and Feliciano, M., 2018, Urban cold and heat island in the city of Bragança (Portugal): Climate, v. 6, no. 3, p. 70.
- Hatfield, J., Kanemasu, E., Asrar, G., Jackson, R., Pinter Jr, P., Reginato, R., and Idso, S., 1985, Leaf-area estimates from spectral measurements over various planting dates of wheat: International Journal of Remote Sensing, v. 6, no. 1, p. 167-175.
- Heinl, M., Hammerle, A., Tappeiner, U., and Leitinger, G., 2015, Determinants of urban-rural land surface temperature differences - A landscape scale perspective: Landscape and Urban Planning, v. 134, p. 33-42.
- Huang, X., and Wang, Y., 2019, Investigating the effects of 3D urban morphology on the surface urban heat island effect in urban functional zones by using high-resolution remote sensing data: A case study of Wuhan, Central China: Isprs Journal of Photogrammetry and Remote Sensing, v. 152, p. 119-131.
- Huang, Y., Lei, C., Liu, C.-H., Perez, P., Forehead, H., Kong, S., Zhou, J. L., 2021, A review of strategies for mitigating roadside air pollution in urban street canyons, Environmental Pollution 280:116971.
- IPCC, C. C., 2014, Synthesis Report, Contribution of Working Groups I, and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, RK Pachauri and LA Meyer: IPCC, Geneva, Switzerland, v. 2014, p. 540.
- Irish, R., 1998, Landsat 7 Science Data Users Handbook: Chapter 11, Data Products: URL: http://ltpwww. gsfc. nasa. gov/IAS/handbook/handbook_toc. html (last date accessed: 13 February 2008).
- Jia, W., and Zhao, S., 2020, Trends and drivers of land surface temperature along the urban-rural gradients in the largest urban agglomeration of China: Science of the Total Environment, v. 711, p. 134579.
- Jimenez-Munoz, J. C., Sobrino, J. A., Skokovic, D., Mattar, C., and Cristobal, J., 2014, Land Surface Temperature Retrieval Methods From Landsat-8 Thermal Infrared Sensor Data: Ieee Geoscience and Remote Sensing Letters, v. 11, no. 10, p. 1840-1843.
- Johnson, C. D., Nandi, A., Joyner, T. A., and Luffman, I., 2018, Iron and manganese in groundwater: Using Kriging and GIS to locate high concentrations in Buncombe County, North Carolina: Groundwater, v. 56, no. 1, p. 87-95.
- Johnston, K., 2004, ArcGIS 9: using ArcGIS geostatistical analyst, Esri Press.
- Johnston, K., Ver Hoef, J. M., Krivoruchko, K., and Lucas, N., 2001, Using ArcGIS geostatistical analyst, Esri Redlands.
- Karthick, S., Kermanshachi, S., Pamidimukkala, A., and Namian, M., 2022, A review of construction workforce health challenges and strategies in extreme weather conditions: International journal of occupational safety and ergonomics, no. just-accepted, p. 1-35.
- Kim, H. H., 1992, Urban heat island: International Journal of Remote Sensing, v. 13, no. 12, p. 2319-2336.
- Kim, S. W., and Brown, R. D., 2021, Urban heat island (UHI) intensity and magnitude estimations: A systematic literature review: Science of The Total Environment, v. 779, p. 146389.
- Koc, A., Karahan, A., and BINGÜL, M., 2019, Determination of relationship between land surface temperature and different land use by chaid analysis: Appl Ecol Environ Res, v. 17, no. 3, p. 6051-6067.
- Koç, A., Caf, A., Koç, C., and Kejanli, D. T., 2022, Examining the temporal and spatial distribution of potential urban heat island formations: Environmental Science and Pollution Research, v. 29, no. 8, p. 11455-11468.
- Koç, A., Yilmaz, S., and Mutlu, E., 2016, Erzurum Kent Merkezinde Kitle Yesil Alanlarin Hava Kalitesine Etkisi: Igdir University Journal of the Institute of Science and Technology, v. 6, no. 4, p. 109-112.
- Landsat, N., Science data users handbook: Availabe online http//landsathandbook. gsfc. nasa. gov/inst_cal/prog_sect8_2. html (7)(accessed 11 March 2011), 7AD.
- Liu, L., and Zhang, Y. Z., 2011, Urban Heat Island Analysis Using the Landsat TM Data and ASTER Data: A Case Study in Hong Kong: Remote Sensing, v. 3, no. 7, p. 1535-1552.
- Luan, X., Yu, Z., Zhang, Y., Wei, S., Miao, X., Huang, Z. Y., Teng, S. N., and Xu, C., 2020, Remote sensing and social sensing data reveal scale-dependent and system-specific strengths of urban heat island determinants: Remote Sensing, v. 12, no. 3, p. 391.
- Mahato, S., and Pal, S., 2019, Influence of land surface parameters on the spatio-seasonal land surface temperature regime in rural West Bengal, India: Advances in Space Research, v. 63, no. 1, p. 172-189.
- Marno, P., Bryden, C., Bird, W., and Watkin, H., 2006, How different measures of cold weather affect chronic obstructive pulmonary disease (COPD) hospital admissions in London: European Respiratory Review, v. 15, no. 101, p. 185-186.
- Morakinyo, T. E., and Lam, Y. F. 2016, Simulation study on the impact of tree-configuration, planting pattern and wind condition on street-canyon's micro-climate and thermal comfort. Building and environment, 103, 262-275.
- Mayhorn, C. B., and McLaughlin, A. C., 2014, Warning the world of extreme events: A global perspective on risk communication for natural and technological disaster: Safety science, v. 61, p. 43-50.
- McFeeters, S. K., 1996, The use of the normalized difference water index (NDWI) in the delineation of open water features: International Journal of Remote Sensing, v. 17, no. 7, p. 1425-1432.
- Mercer, J. B., 2003, Coldan underrated risk factor for health: Environmental Research, v. 92, no. 1, p. 8-13.
- Montávez, J. P., Rodríguez, A., and Jiménez, J. I., 2000, A study of the urban heat island of Granada: International Journal of Climatology: A Journal of the Royal Meteorological Society, v. 20, no. 8, p. 899-911.
- Oke, T. R., 1973, City size and the urban heat island: Atmospheric Environment (1967), v. 7, no. 8, p. 769-779.
- Park, C. Y., Lee, D. K., Asawa, T., Murakami, A., Kim, H. G., Lee, M. K., & Lee, H. S. 2019, Influence of urban form on the cooling effect of a small urban river. Landscape and urban planning, 183, 26-35.
- Peeters, A., 2016, A GIS-based method for modeling urban-climate parameters using automated recognition of shadows cast by buildings: Computers Environment and Urban Systems, v. 59, p. 107-115.
- Pólrolniczak, M., Kolendowicz, L., Majkowska, A., and Czernecki, B., 2017, The influence of atmospheric circulation on the intensity of urban heat island and urban cold island in Poznan, Poland: Theoretical and Applied Climatology, v. 127, no. 3, p. 611-625.
- Rozenstein, O., Qin, Z. H., Derimian, Y., and Karnieli, A., 2014, Derivation of Land Surface Temperature for Landsat-8 TIRS Using a Split Window Algorithm (vol 14, pg 5768, 2014): Sensors, v. 14, no. 6, p. 11277-11277.
- Santamouris, M. 2018. Minimizing energy consumption, energy poverty and global and local climate change in the built environment: innovating to zero: causalities and impacts in a zero concept world. Elsevier.
- Scovronick, N., Sera, F., Acquaotta, F., Garzena, D., Fratianni, S., Wright, C. Y., and Gasparrini, A., 2018, The association between ambient temperature and mortality in South Africa: A time-series analysis: Environmental Research, v. 161, p. 229-235.
- Sensoy, S., Demircan, M., Ulupinar, U., and Balta, I., 2008, Türkiye iklimi: Turkish State Meteorological Service (DMI), Ankara.
- Sharma, R., Pradhan, L., Kumari, M., and Bhattacharya, P., 2021, Assessing urban heat islands and thermal comfort in Noida City using geospatial technology: Urban Climate, v. 35, p. 100751.
- Shirani-Bidabadi, N., Nasrabadi, T., Faryadi, S., Larijani, A., and Roodposhti, M. S., 2019, Evaluating the spatial distribution and the intensity of urban heat island using remote sensing, case study of Isfahan city in Iran: Sustainable cities and society, v. 45, p. 686-692.
- Stewart, I. D., 2011, A systematic review and scientific critique of methodology in modern urban heat island literature: International Journal of Climatology, v. 31, no. 2, p. 200-217.
- TKTB 2020, Türkiye Turizm Bakanligi. https://erzurum.ktb.gov.tr/TR-56063/cografya.html.
- Tian, P., Li, J., Pu, R., Cao, L., Liu, Y., & Zhang, H. 2023, Assessing the cold island effect of urban parks in metropolitan cores: a case study of Hangzhou, China. Environmental Science and Pollution Research, 30(33), 80931-80944.
- Toy, S., Yilmaz, S., and Yilmaz, H., 2007, Determination of bioclimatic comfort in three different land uses in the city of Erzurum, Turkey: Building and Environment, v. 42, no. 3, p. 1315-1318.
- TUIK, 2021, Nüfus ve Demografi Meta Verisi. Erisim: https://data.tuik.gov.tr/tr/main-category
- Turk, S., Koc, A., and Sahin, G., 2021, Multi-criteria of PV solar site selection problem using GIS-intuitionistic fuzzy based approach in Erzurum province/Turkey: Scientific Reports, v. 11, no. 1.
- Urban, A., and Kysely, J., 2018, Application of spatial synoptic classification in evaluating links between heat stress and cardiovascular mortality and morbidity in Prague, Czech Republic: International Journal of Biometeorology, v. 62, no. 1, p. 85-96.
- Vasconcelos, J., Freire, E., Almendra, R., Silva, G. L., and Santana, P., 2013, The impact of winter cold weather on acute myocardial infarctions in Portugal: Environmental pollution, v. 183, p. 14-18.
- Wang, R., Ren, C., Xu, Y., Lau, K. K. L., and Shi, Y., 2018, Mapping the local climate zones of urban areas by GIS-based and WUDAPT methods: A case study of Hong Kong: Urban Climate, v. 24, p. 567-576.
- Wang, W., Liu, K., Tang, R., and Wang, S., 2019, Remote sensing image-based analysis of the urban heat island effect in Shenzhen, China: Physics and Chemistry of the Earth, Parts A/B/C, v. 110, p. 168-175.
- Wang, X., Jiang, D., and Lang, X., 2017, Future extreme climate changes linked to global warming intensity: Science Bulletin, v. 62, no. 24, p. 1673-1680.
- Weilnhammer, V., Schmid, J., Mittermeier, I., Schreiber, F., Jiang, L., Pastuhovic, V., Herr, C., and Heinze, S., 2021, Extreme weather events in europe and their health consequencesA systematic review: International Journal of Hygiene and Environmental Health, v. 233, p. 113688.
- Wicki, A., 2018, The urban climate of Basel/Switzerland: analysis, investigation and perspectives using remote sensing and GIS techniques: analysis, investigation and perspectives using remote sensing and GIS techniques: University_of_Basel.
- Wu, J. S., Hu, Z. Q., Gu, Y., Li, L. T., and Zhu, H. Z., 2022, A multi-segmented human bioheat model for cold and extremely cold exposures: International Journal of Thermal Sciences, v. 173.
- Xiao, Y., Gu, X., Yin, S., Shao, J., Cui, Y., Zhang, Q., and Niu, Y., 2016, Geostatistical interpolation model selection based on ArcGIS and spatio-temporal variability analysis of groundwater level in piedmont plains, northwest China: SpringerPlus, v. 5, no. 1, p. 1-15.
- Yilmaz, S., Koc, A., Mutlu, E., and Demircioglu Yildiz, N., 2016, Integration of Thermal Comfort Information with Spatial Modelling in Erzurum City Center: Fourth International Conference on Countermeasures to Urban Heat Island, (Uhi 2016), v. 169, p. 80-87.
- Yilmaz, S., Yilmaz, H., Irmak, M. A., Kuzulugil, A. C., and Koc, A., 2018, Effects of urban Pinus sylvestris (L.) plantation sites on thermal comfort: International Symposium on Greener Cities for More Efficient Ecosystem Services in a Climate Changing World, v. 1215, p. 39-43.
- Zanter, K., Landsat 8 (L8) data users handbook. Landsat Science Official Website. 2016.
- Landsat 8 (L8) data users handbook. Landsat Science Official Website. Available online.
- Zardi, D., and Whiteman, C. D., 2013, Diurnal mountain wind systems: Mountain weather research and forecasting, p. 35-119.
- Zhang, J. Q., Wang, Y. P., and Li, Y., 2006, A C++ program for retrieving land surface temperature from the data of Landsat TM/ETM+ band6: Computers & Geosciences, v. 32, no. 10, p. 1796-1805.
- Zheng, Y., Ren, C., Xu, Y., Wang, R., Ho, J., Lau, K., and Ng, E., 2018, GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong: Urban climate, v. 24, p. 419-448.
- Zhou, D., Bonafoni, S., Zhang, L., and Wang, R., 2018, Remote sensing of the urban heat island effect in a highly populated urban agglomeration area in East China: Science of the Total Environment, v. 628, p. 415-429.
- Zlatar, T., Torres Costa, J., Vaz, M., and Santos Baptista, J., 2019, Influence of severe cold thermal environment on core and skin temperatures: A systematic review: Work, v. 62, no. 2, p. 337-352.
|