Inter-/intra-zonal seasonal variability of the surface urban heat island based on local climate zones in three central European cities
Tài liệu tham khảo
Antrop, 2004, Landscape change and the urbanization process in Europe, Landsc. Urban Plann., 67, 9, 10.1016/S0169-2046(03)00026-4
European Space agency (ESA), 2014
Schmidt, 2014, Effects of urban structure on plant species richness in a large European city, Urban Ecosyst., 17, 427, 10.1007/s11252-013-0319-y
Čepelová, 2017, Effects of settlement size, urban heat island and habitat type on urban plant biodiversity, Landsc. Urban Plann., 159, 15, 10.1016/j.landurbplan.2016.11.004
Kovats, 2008, Heat stress and public health: a critical review, Annu. Rev. Public Health, 29, 41, 10.1146/annurev.publhealth.29.020907.090843
Tan, 2010, The urban heat island and its impact on heat waves and human health in Shanghai, Int. J. Biometeorol., 54, 75, 10.1007/s00484-009-0256-x
Gabriel, 2011, Urban and rural mortality rates during heat waves in Berlin and Brandenburg, Germany, Environ. Pollut., 159, 2044, 10.1016/j.envpol.2011.01.016
Savić, 2018, Heat wave risk assessment and mapping in urban areas: case study for a midsized Central European city, Novi Sad (Serbia), Nat. Hazards, 91, 891, 10.1007/s11069-017-3160-4
Grimmond, 2010, Climate and more sustainable cities: climate information for improved planning and management of cities (producers/capabilities perspective), Proc. Environ. Sci., 1, 247, 10.1016/j.proenv.2010.09.016
Huang, 2018, Urban heat island research from 1991 to 2015: a bibliometric analysis, Theor. Appl. Climatol., 131, 1055, 10.1007/s00704-016-2025-1
Lélovićs, 2016, Intra-urban temperature observations in two Central European cities: a summer study, Idojaras, 120, 283
Štěpánek, 2016, Projection of drought-inducing climate conditions in the Czech Republic according to Euro-CORDEX models, Clim. Res., 70, 179, 10.3354/cr01424
Skarbit, 2017, Employing an urban meteorological network to monitor air temperature conditions in the ‘local climate zones’ of Szeged, Hungary, Int. J. Climatol., 37, 582, 10.1002/joc.5023
Lhotka, 2018, Climate change scenarios of heat waves in Central Europe and their uncertainties, Theor. Appl. Climatol., 131, 1043, 10.1007/s00704-016-2031-3
Geletič, 2019, Spatial modeling of summer climate indices based on local climate zones: expected changes in the future climate of Brno, Czech Republic, Clim. Change, 10.1007/s10584-018-2353-5
Oke, 1982, The energetic basis of the urban heat island, Q. J. Roy. Meteorol. Soc., 108, 1
Roth, 1989, Satellite-derived urban heat islands from three coastal cities and the utilization of such data in urban climatology, Int. J. Remote Sens., 10, 1699, 10.1080/01431168908904002
Voogt, 2003, Thermal remote sensing of urban climates, Remote Sens. Environ., 86, 370, 10.1016/S0034-4257(03)00079-8
Peng, 2012, Surface urban heat island across 419 global big cities, Environ. Sci. Technol., 46, 696, 10.1021/es2030438
Schwarz, 2012, Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators - an application for the city of Leipzig (Germany), Ecol. Indicat., 18, 693, 10.1016/j.ecolind.2012.01.001
Majkowska, 2017, The urban heat island in the city of Poznań as derived from Landsat 5 TM, Theor. Appl. Climatol., 128, 769, 10.1007/s00704-016-1737-6
Zhou, 2017, The role of city size and urban form in the surface urban heat island, Sci. Rep-UK, 7, 4791, 10.1038/s41598-017-04242-2
European Environment Agency (EEA), 2018
Friedl, 2010
Pengra, 2015, A global reference database from very high resolution commercial satellite data and methodology for application to Landsat derived 30m continuous field tree cover data, Remote Sens. Environ., 165, 234, 10.1016/j.rse.2015.01.018
Chen, 2014, China: open access to Earth land-cover map, Nature, 514, 434, 10.1038/514434c
Copernicus, 2018
Stewart, 2012, Local Climate Zones for urban temperature studies, Bull. Am. Meteorol. Soc., 93, 1879, 10.1175/BAMS-D-11-00019.1
Skarbit, 2015, Airborne surface temperature differences of the different local climate zones in the urban area of a medium sized city, 1
Geletič, 2016, Land surface temperature differences within local climate zones, based on two central European cities, Remote Sens-BASEL, 8, 788, 10.3390/rs8100788
Wang, 2017, Impact of urban climate landscape patterns on land surface temperature in Wuhan, China, Sustainability-BASEL, 9, 1700, 10.3390/su9101700
Müller, 2014, Counteracting urban climate change: adaptation measures and their effect on thermal comfort, Theor. Appl. Climatol., 115, 243, 10.1007/s00704-013-0890-4
Quanz, 2018, Micro-scale variability of air temperature within a local climate zone in Berlin, Germany, during summer, Climate, 6, 5, 10.3390/cli6010005
C. Wang, S.W. Myint, A. Middel, S. Kaplan, A. Brazel, J. Lukasczyk, Assessing local climate zones in arid cities: the case of Phoenix, Arizona and Las Vegas, Nevada, AGG Annual Meeting 2018 - New Orleans, USA, April 10-14, 2018.
Gémes, 2016, Satellite based analysis of surface urban heat island intensity, J. Environ. Geogr., 9, 23, 10.1515/jengeo-2016-0004
Ziaul, 2018, Analyzing control of respiratory particulate matter on Land Surface Temperature in local climate zones of English Bazar Municipality and Surroundings, Urban Climate, 24, 34, 10.1016/j.uclim.2018.01.006
Schwarz, 2011, Exploring indicators for quantifying surface urban heat islands of European cities with MODIS land surface temperatures, Remote Sens. Environ., 115, 3175, 10.1016/j.rse.2011.07.003
Cui, 2012, Seasonal variation of the urban heat island at the surface and the near-surface and reduction due to urban vegetation in Mexico city, J. Appl. Meteorol. Clim., 51, 855, 10.1175/JAMC-D-11-0104.1
Lazzarini, 2013, Temperature-land cover interactions: the inversion of urban heat island phenomenon in desert city areas, Remote Sens. Environ., 130, 136, 10.1016/j.rse.2012.11.007
Wang, 2015, Future urban climatic map development based on spatiotemporal image fusion for monitoring the seasonal response of urban heat islands to land use/cover
Haashemi, 2016, Seasonal variations of the surface urban heat island in a semi-arid city, Remote Sens-BASEL, 8, 352, 10.3390/rs8040352
Benas, 2017, Trend of urban surface temperature and heat island characteristics in the Mediterranean, Theor. Appl. Climatol., 130, 807, 10.1007/s00704-016-1905-8
Miles, 2017, Seasonal and spatial characteristics of urban heat islands (UHIs) in northern west siberian cities, Remote Sens-BASEL, 9, 989, 10.3390/rs9100989
Yuan, 2017, Seasonal variations of the urban thermal environment effect in a tropical coastal city, Adv. Meteorol., 10.1155/2017/8917310
Kottek, 2006, World Map of the Koppen-Geiger climate classification updated, Meteorol. Z., 15, 259, 10.1127/0941-2948/2006/0130
Leconte, 2015, Using Local Climate Zone scheme for UHI assessment: evaluation of the method using mobile measurements, Build. Environ., 83, 39, 10.1016/j.buildenv.2014.05.005
Geletič, 2016, GIS-based delineation of local climate zones: the case of medium-sized Central European cities, Morav. Geogr. Rep., 24, 2
Zheng, 2018, GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong, Urban Climate, 24, 419, 10.1016/j.uclim.2017.05.008
Bechtel, 2012, Classification of local climate zones based on multiple earth observation data, IEEE J-STARS, 5, 1191
Lélovićs, 2014, Design of an urban monitoring network based on Local Climate Zone mapping and temperature pattern modelling, Clim. Res., 60, 51, 10.3354/cr01220
Gál, 2015, Comparison of two different Local Climate Zone mapping methods
U.S. Geological Survey (USGS), 2016
U.S. Geological Survey (USGS), 2018
Rozenstein, 2014, Derivation of land surface temperature for Landsat-8 TIRS using a split window algorithm, Sensors-BASEL, 14, 5768, 10.3390/s140405768
Livezey, 1995, Field intercomparison
Vázquez-Jiménez, 2017, Topographic correction to Landsat imagery through slope classification by applying the SCS + C method in mountainous forest areas, ISPRS Int. J. Geo-Inf., 6, 287, 10.3390/ijgi6090287
Rogan, 2013, The impact of tree cover loss on land surface temperature: a case study of central Massachusetts using Landsat Thematic Mapper thermal data, Appl. Geogr., 45, 49, 10.1016/j.apgeog.2013.07.004
Krayenhoff, 2016, Daytime thermal anisotropy of urban neighbourhoods: morphological causation, Remote Sens-BASEL, 8, 108, 10.3390/rs8020108
Hu, 2013, The impact of temporal aggregation of land surface temperature data for surface urban heat island (SUHI) monitoring, Remote Sens. Environ., 134, 162, 10.1016/j.rse.2013.02.022
Jönsson, 2018, A method for robust estimation of vegetation seasonality from Landsat and sentinel-2 time series data, Remote Sens-BASEL, 10, 635, 10.3390/rs10040635
Hu, 2018, Feature extraction and selection of sentinel-1 dual-pol data for global-scale local climate zone classification, ISPRS Int. J. Geo-Inf., 7, 379, 10.3390/ijgi7090379
Chunping, 2018, 1
Dobrovolný, 2013, The surface urban heat island in the city of Brno (Czech Republic) derived from land surface temperatures and selected reasons for its spatial variability, Theor. Appl. Climatol., 112, 89, 10.1007/s00704-012-0717-8
Cai, 2018, Investigating the relationship between local climate zone and land surface temperature using an improved WUDAPT methodology - a case study of Yangtze River Delta, China, Urban Climate, 24, 485, 10.1016/j.uclim.2017.05.010
Sheng, 2017, Comparison of the urban heat island intensity quantified by using air temperature and Landsat land surface temperature in Hangzhou, China, Ecol. Indicat., 72, 738, 10.1016/j.ecolind.2016.09.009
Liu, 2017, Seasonal and diurnal characteristics of land surface temperature and major explanatory factors in Harris County, Texas, Sustainability-BASEL, 9, 2324, 10.3390/su9122324
Yang, 2015, The impact analysis of water body landscape pattern on urban heat island: a case study of Wuhan city, Adv. Meteorol., 10.1155/2015/416728
Wood, 2013, Wind observations above an urban river using a new lidar technique, scintillometry and anemometry, Sci. Total Environ., 442, 527, 10.1016/j.scitotenv.2012.10.061
Desplat, 2010, EPICEA, la meteorologie urbaine au service de al Ville de Paris, Meteorol. Mag., 9, 13
Mancebo, 2018, Gardening the city: addressing sustainability and adapting to global warming through urban agriculture, Environments, 5, 38, 10.3390/environments5030038
Ward, 2016, Heat waves and urban heat islands in Europe: a review of relevant drivers, Sci. Total Environ., 569, 527, 10.1016/j.scitotenv.2016.06.119
Imhoff, 2010, Remote sensing of the urban heat island effect across biomes in the continental USA, Remote Sens. Environ., 114, 504, 10.1016/j.rse.2009.10.008
Akbari, 1997, Peak power and cooling energy savings of shade trees, Energy Build., 25, 139, 10.1016/S0378-7788(96)01003-1
Gulyás, 2006, Assessment of the microclimatic and human comfort conditions in a complex urban environment: modelling and measurements, Build. Environ., 41, 1713, 10.1016/j.buildenv.2005.07.001
Gillner, 2015, Role of street trees in mitigating effects of heat and drought at highly sealed urban sites, Landsc. Urban Plann., 143, 33, 10.1016/j.landurbplan.2015.06.005
Klemm, 2015, Street greenery and its physical and psychological impact on thermal comfort, Landsc. Urban Plann., 138, 87, 10.1016/j.landurbplan.2015.02.009
Mullaney, 2015, A review of benefits and challenges in growing street trees in paved urban environments, Landsc. Urban Plann., 134, 157, 10.1016/j.landurbplan.2014.10.013
Hart, 2009, Quantifying the influence of land-use and surface characteristics on spatial variability in the urban heat island, Theor. Appl. Climatol., 95, 397, 10.1007/s00704-008-0017-5
Bowler, 2010, Urban greening to cool towns and cities: a systematic review of the empirical evidence, Landsc. Urban Plann., 97, 147, 10.1016/j.landurbplan.2010.05.006
Dugord, 2014, Land use patterns, temperature distribution, and potential heat stress risk - the case study Berlin, Germany, Comput. Environ. Urban Syst., 48, 86, 10.1016/j.compenvurbsys.2014.07.005
Maimaitiyiming, 2014, Effects of green space spatial pattern on land surface temperature: implications for sustainable urban planning and climate change adaptation, ISPRS J. Photogramm., 89, 59, 10.1016/j.isprsjprs.2013.12.010
