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Assessment of urban heat islands for land use based on urban planning: a case study in the main urban area of Xuzhou City, China

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Abstract

The urban heat island (UHI) effect is an important issue in urban planning. In this study, the framework of the land surface temperature (LST) and UHIindex for urban development land (UDL) based on urban planning in China was proposed to examine the spatiotemporal evolution of the LST and the UHIindex for the whole city as well as the LST and the UHIindex of UDL at four node stages (1995, 2003, 2014 and 2019), reflecting the process of urbanization. The results demonstrate that the UHIindex showed an overall trend of first decreasing and then increasing in the process of urbanization over 2 decades. The UHI is characterized by the evolution of spatial distribution from a local point-like aggregation (1995) to a linear expansion along the urban construction land (2003), then to patchy areas tending towards overall homogeneous coverage gradually expanding (2019). The LST increased yearly, but the UHIindex first decreased and then increased, while the average UHIindex and the LST of UDL in the overall relationship maintained good consistency each year. The industrial and logistics concentration area with railway marshalling yard as the core area is the most important patch to maintain the urban thermal pattern. The results provide a quantitative basis for the thermal environmental planning of UDL and a reference for research on UHI under different land planning and management systems in other countries and regions of the world.

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References

  • Ahmed B, Kamruzzaman M, Zhu X, Rahman MS, Choi K (2013) Simulating land cover changes and their impacts on land surface temperature in Dhaka, Bangladesh. Remote Sens 5(11):5969–5998

    Google Scholar 

  • Alphan H (2003) Land-use change and urbanization of Adana, Turkey. Land Degrad Dev 14(6):575–586

    Google Scholar 

  • Babu YCPR, Doondi BS, Krishna NMVV, Prasanthi K (2013) White cement in sustainable development. Int J Eng Sci Technol 5(4):861

    Google Scholar 

  • Baik JJ, Kim YH, Chun HY (2001) Dry and moist convection forced by an urban heat island. J Appl Meteorol 40(8):1462–1475

    Google Scholar 

  • Bossard M, Feranec J, Otahel J (2000) CORINE land cover technical guide—Addendum 2000. Young 9(1):633–638

    Google Scholar 

  • Buyantuyev A, Wu J (2010) Urban heat islands and landscape heterogeneity: linking spatiotemporal variations in surface temperatures to land-cover and socioeconomic patterns. Landsc Ecol 25(1):17–33. https://doi.org/10.1007/s10980-009-9402-4

    Article  Google Scholar 

  • Chandler SGTJ (1976) The climate of the British Isles. Addison-Wesley Educational Publishers Inc, London

    Google Scholar 

  • Changdong YE, Zheng Y, Zhang Y (2013) Comparison analysis of the present and past land use classification systems for land use planning and urban planning. Trop Geogr 3:276–281

    Google Scholar 

  • Chen XL, Zhao HM, Li PX, Yin ZY (2006) Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sens Environ 104(2):133–146

    Google Scholar 

  • Chen F, Zeng Y, Liang S (2013) Relationship between specific surface parameters and brightness temperature in metropolitan area. In: Paper presented at the' International conference on remote sensing, environment and transportation engineering (RSETE), Nanjing, People’s R China (2013-08-26)

  • Deilami K, Kamruzzaman M, Hayes JF (2016) Correlation or causality between land cover patterns and the urban heat island effect? Evidence from Brisbane, Australia. Remote Sens 8(9):716

    Google Scholar 

  • Dewan AM, Corner RJ (2012) The impact of land use and land cover changes on land surface temperature in a rapidly urbanizing megacity. In: 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012-01-01, pp 6337–6339 (201222–27 July 2012)

  • Dissanayake D, Morimoto T, Ranagalage M (2019) Land-use/land-cover changes and their impact on surface urban heat islands: case study of Kandy City, Sri Lanka. Climate. https://doi.org/10.3390/cli7080099

    Article  Google Scholar 

  • Doan VQ, Kusaka H, Nguyen TM (2019) Roles of past, present, and future land use and anthropogenic heat release changes on urban heat island effects in Hanoi, Vietnam: numerical experiments with a regional climate model. Sustain Cities Soc 47:101479. https://doi.org/10.1016/j.scs.2019.101479

    Article  Google Scholar 

  • Du P, Xia J, Du Q, Luo Y, Tan K (2013) Evaluation of the spatio-temporal pattern of urban ecological security using remote sensing and GIS. Int J Remote Sens 34(3):848–863

    Google Scholar 

  • Du C, Ren H, Qin Q, Meng J, Zhao S (2015) A Practical split-window algorithm for estimating land surface temperature from Landsat 8 Data. Remote Sens 7(1):647–665

    Google Scholar 

  • Du H, Song X, Jiang H, Kan Z, Wang Z, Cai Y (2016a) Research on the cooling island effects of water body: a case study of Shanghai, China. Ecol Indic 67:31–38. https://doi.org/10.1016/j.ecolind.2016.02.040

    Article  Google Scholar 

  • Du H, Wang D, Wang Y, Zhao X, Qin F, Jiang H, Cai Y (2016b) Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration. Sci Total Environ 571:461–470. https://doi.org/10.1016/j.scitotenv.2016.07.012

    Article  Google Scholar 

  • Du H, Zhou F, Li C, Cai W, Jiang H, Cai Y (2020) Analysis of the impact of land use on spatiotemporal patterns of surface urban heat island in rapid urbanization, a case study of Shanghai, China. Sustainability 12:1171

    Google Scholar 

  • Echevarría Icaza L, van den Dobbelsteen A, van der Hoeven F (2016) Integrating urban heat assessment in urban plans. Sustainability. https://doi.org/10.3390/su8040320

    Article  Google Scholar 

  • Fan C, Myint SW, Zheng B (2015a) Measuring the spatial arrangement of urban vegetation and its impacts on seasonal surface temperatures. Progr Phys Geogr Earth Environ 39(2):199–219. https://doi.org/10.1177/0309133314567583

    Article  Google Scholar 

  • Fan X, Tang BH, Hua W, Yan G, Li ZL (2015b) Daytime land surface temperature extraction from MODIS thermal infrared data under cirrus clouds. Sensors 15(5):9942

    Google Scholar 

  • Fengjun Z (2011) The planning index effectiveness research about intensity of urban industrial land development. Xi`an University of Architecture and Technology, Xi`an

  • Grigoraș G, Urițescu B (2019) Land use/land cover changes dynamics and their effects on surface urban heat island in Bucharest, Romania. Int J Appl Earth Obs 80:115–126. https://doi.org/10.1016/j.jag.2019.03.009

    Article  Google Scholar 

  • Gunawardena KR, Wells MJ, Kershaw T (2017) Utilising green and bluespace to mitigate urban heat island intensity. Sci Total Environ 584–585:1040–1055. https://doi.org/10.1016/j.scitotenv.2017.01.158

    Article  Google Scholar 

  • Haiyan X, Wangfeng Z, Huailu C, Shouqian C (2015) Comparative analysis of new and old “Code for Classification of Urban Land Use and Planning Standards of Development Land.” Mod Urban Res 11:69–75

    Google Scholar 

  • Hamoodi MN, Corner R, Dewan A (2019) Thermophysical behaviour of LULC surfaces and their effect on the urban thermal environment. J Spat Sci 64(1):111–130. https://doi.org/10.1080/14498596.2017.1386598

    Article  Google Scholar 

  • He JF, Liu JY, Zhuang DF, Zhang W, Liu ML (2007) Assessing the effect of land use/land cover change on the change of urban heat island intensity. Theor Appl Climatol 90(3):217–226. https://doi.org/10.1007/s00704-006-0273-1

    Article  Google Scholar 

  • Holec J, Feranec J, Astn P, Szatmári D, Garaj M (2020) Evolution and assessment of urban heat island between the years 1998 and 2016: case study of the cities Bratislava and Trnava in western Slovakia. Theor Appl Climatol 141:979–997

    Google Scholar 

  • Hu YH, Jia GS (2010) Influence of land use change on urban heat island derived from multi-sensor data. Int J Climatol 30(9):1382–1395

    Google Scholar 

  • Jiahong LI (2012) Study of relation between land cover conditions and temperature based on Landsat/TM Data. Remote Sens Technol Appl 13(1):18–28

    Google Scholar 

  • Jian C (1996) Statistical yearbook of Xuzhou. China Statistics Press, Beijing

    Google Scholar 

  • Jie B, Shaomin L, Guang H (2008) Inversion and verification of land surface temperature with remote sensing TM/ETM~+ data. Trans Chin Soc Agric Eng 9:148–154

    Google Scholar 

  • Jimenez-Munoz JC, Sobrino JA (2007) Feasibility of retrieving land-surface temperature from ASTER TIR bands using two-channel algorithms: a case study of agricultural areas. IEEE Geosci Remote Sens Lett 4(1):60–64

    Google Scholar 

  • Kamruzzaman M, Deilami K, Tan Y (2018) Investigating the urban heat island effect of transit oriented development in Brisbane. J Transp Geogr 66:116–124

    Google Scholar 

  • Kato S, Yamaguchi Y (2005) Analysis of urban heat-island effect using ASTER and ETM+ Data: separation of anthropogenic heat discharge and natural heat radiation from sensible heat flux. Remote Sens Environ 99(1):44–54. https://doi.org/10.1016/j.rse.2005.04.026

    Article  Google Scholar 

  • KIM, Y.H. (2002) Maximum urban heat island intensity in Seoul. J Appl Meteorol 41(6):132–135

    Google Scholar 

  • Le W (2015) Land Surface Temperature Inversion of Xi'an and the urban thermal environment research based on RS. Chang'an University, Xi’an

  • Lemonsu A, Leroux A, Bélair S, Trudel S, Mailhot J (2006) A general methodology of urban cover classification for atmospheric modeling. In: Paper presented at the' The 86th American Meteorological Society Annual Meeting (Sixth Symposium on the Urban Environment), Atlanta, Georgia (2006–01–28)

  • Leo ND, Escobedo FJ, Dubbeling M (2016) The role of urban green infrastructure in mitigating land surface temperature in Bobo-Dioulasso, Burkina. Faso Environ Dev Sustain 18(2):373–392

    Google Scholar 

  • Liu P, Du P, Cao W, Xia J (2009) Evaluation of urban heat environment using multi-algorithm and multi-scale images2009 joint urban remote sensing event, vol 1–3. Shanghai, Peoples R China, pp 1–9 (2009-05-22)

  • Liu G, Zhang Q, Li G, Doronzo DM (2016) Response of land cover types to land surface temperature derived from Landsat-5 TM in Nanjing Metropolitan Region, China. Environ Earth Sci 75(20):1386. https://doi.org/10.1007/s12665-016-6202-4

    Article  Google Scholar 

  • Liu W, Hughes AC, Bai Y, Li Z, Mei C, Ma Y (2020) Using landscape connectivity tools to identify conservation priorities in forested areas and potential restoration priorities in rubber plantation in Xishuangbanna, Southwest China. Landsc Ecol 35(2):389–402

    Google Scholar 

  • Lo CP, Quattrochi DA, Luvall JC (1997) Application of high-resolution thermal infrared remote sensing and GIS to assess the urban heat island effect. Int J Remote Sens 18(2):287–304

    Google Scholar 

  • López E, Bocco G, Mendoza M, Duhau E (2001) Predicting land-cover and land-use change in the urban fringe : A case in Morelia city, Mexico. Landsc Urban Plan 55(4):271–285

    Google Scholar 

  • Maimaitiyiming M, Ghulam A, Tiyip T, Pla F, Latorre Carmona P, Halik Ü, Sawut M, Caetano M (2014) Effects of green space spatial pattern on land surface temperature: Implications for sustainable urban planning and climate change adaptation. ISPRS J Photogramm Remote Sens 89(3):59–66

    Google Scholar 

  • Man SW, Yang J, Nichol J, Weng Q, Menenti M, Chan PW (2015) Modeling of anthropogenic heat flux using HJ-1B Chinese small satellite image: a study of heterogeneous urbanized areas in Hong Kong. IEEE Geosci Remote Sens Lett 12(7):1466–1470

    Google Scholar 

  • Manley G (1958) On the frequency of snowfall in metropolitan England. Q J R Meteor Soc 84:70–72

    Google Scholar 

  • Mathew A, Khandelwal S, Kaul N (2017) Investigating spatial and seasonal variations of urban heat island effect over Jaipur city and its relationship with vegetation, urbanization and elevation parameters. Sustain Cities Soc 35:157–177. https://doi.org/10.1016/j.scs.2017.07.013

    Article  Google Scholar 

  • Mestel R (1995) White paint on a hot tin roof. New Sci 145(1970):34–37

    Google Scholar 

  • Miaofen H, Xufeng X, Peijuan W, Changzuo W (2006) Comparison between three different methods of retrieving surface temperature from Landsat TM thermal infrared band. Arid Land Geogr 1:132–137

    Google Scholar 

  • Mohamed AA, Odindi J, Mutanga O (2017) Land surface temperature and emissivity estimation for Urban Heat Island assessment using medium- and low-resolution space-borne sensors: a review. Geocarto Int 32(4):455–470. https://doi.org/10.1080/10106049.2016.1155657

    Article  Google Scholar 

  • Naserikia M, Asadi Shamsabadi E, Rafieian M, Leal Filho W (2019) The urban heat island in an urban context: a case study of Mashhad. Iran Int J Env Res Public Health 16(3):313. https://doi.org/10.3390/ijerph16030313

    Article  Google Scholar 

  • Niculae M, Avram S, Vanau G, Patroescu M (2017) Effectiveness of Natura 2000 network in Romanian Alpine Biogeographical Region: An assessment based on forest landscape connectivity. Ann For Res. https://doi.org/10.15287/afr.2016.793

    Article  Google Scholar 

  • Oke TR (1973) City size and the urban heat island. Atmos Environ 7(8):769–779

    Google Scholar 

  • Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteor Soc 108(455):1–24

    Google Scholar 

  • Oláh AB (2012) The possibilities of decreasing the urban heat Island. Appl Ecol Environ Res 10(2):173–183

    Google Scholar 

  • Pingping C, Wei S, Shuai M (2008) Analysis of the relationship between urbanization and industrialization of Xuzhou. Tianjin Sci Technol 12:11–12

    Google Scholar 

  • Qin Z, Karnieli A, Berliner P (2001) A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. Int J Remote Sens 22(18):3719–3746. https://doi.org/10.1080/01431160010006971

    Article  Google Scholar 

  • Qing X (2004) Xuzhou Statistical yearbook (《徐州统计年鉴》(2004卷)编辑委员会). China Statistics Press, Beijing

    Google Scholar 

  • Qiu, C.J., Zhai, L., Sang, H.Y., Zhang, X.H. (2013) Monitoring, Measuring and Analysis on Urban Heat Island Effect in Resources Type Urban Transformation Process. Coal Engineering(08), 106–109

  • Rao PK (1972) Remote sensing of urban heat islands from an environmental satellite. B Am Meteorol Soc 53:647–648

    Google Scholar 

  • Ricotta C, Stanisci A, Avena G, Blasi C (2000) Quantifying the network connectivity of landscape mosaics: a graph-theoretical approach. Community Ecol 1:89–94. https://doi.org/10.1556/ComEc.1.2000.1.12

    Article  Google Scholar 

  • Rozenstein O, Qin Z, Derimian Y, Karnieli A (2014) Derivation of land surface temperature for Landsat-8 TIRS using a split window algorithm. Sensors 14(4):5768–5780

    Google Scholar 

  • Santamouris M (2014) Cooling the cities—a review of reflective and green roof mitigation technologies to fight heat island and improve comfort in urban environments. Sol Energy 103:682–703. https://doi.org/10.1016/j.solener.2012.07.003

    Article  Google Scholar 

  • Saura S, Torne J (2009) Conefor Sensinode 2.2: a software package for quantifying the importance of habitat patches for landscape connectivity. Environ Modell Softw 24(1):135–139

    Google Scholar 

  • Schwarz N, Manceur AM (2015) Analyzing the influence of urban forms on surface urban heat islands in Europe. J Urban Plan Dev 141(3):A4014003

    Google Scholar 

  • Sobrino JA, Jiménez-Muñoz JC, Paolini L (2004) Land surface temperature retrieval from LANDSAT TM 5. Remote Sens Environ 90(4):434–440

    Google Scholar 

  • Son N, Chen C, Chen C, Thanh B, Vuong T (2017) Assessment of urbanization and urban heat islands in Ho Chi Minh City, Vietnam using Landsat data. Sustain Cities Soc 30:150–161. https://doi.org/10.1016/j.scs.2017.01.009

    Article  Google Scholar 

  • Su W, Gu C, Yang G (2010) Assessing the impact of land use/land cover on urban heat island pattern in Nanjing City, China. J Urban Plan Dev 136(4):365–372. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000033

    Article  Google Scholar 

  • Takebayashi H, Moriyama M (2007) Surface heat budget on green roof and high reflection roof for mitigation of urban heat island. Build Environ 42(8):2971–2979. https://doi.org/10.1016/j.buildenv.2006.06.017

    Article  Google Scholar 

  • Tang J, Di L, Xiao J, Lu D, Zhou Y (2017) Impacts of land use and socioeconomic patterns on urban heat Island. Int J Remote Sens 38(11):3445–3465. https://doi.org/10.1080/01431161.2017.1295485

    Article  Google Scholar 

  • Tereshchenko IE, Filonov AE (2001) Air temperature fluctuation in Guadalajara, Mexico from 1926 to 1994 in relation to urban growth. Int J Climatol 21(4):483–494

    Google Scholar 

  • Vahmani P, Sun F, Hall A, Banweiss G (2016) Investigating the climate impacts of urbanization and the potential for cool roofs to counter future climate change in Southern California. Environ Res Lett 11(12):124027

    Google Scholar 

  • Wang C, Wang ZH (2017) Projecting population growth as a dynamic measure of regional urban warming. Sustain Urban Areas 32:357–365

    Google Scholar 

  • Wang M, Zhang Z, He G, Wang G, Long T, Peng Y (2016) An enhanced single—channel algorithm for retrieving land surface temperature from Landsat series data. J Geophys Res 121(19):11–712

    Google Scholar 

  • Weng Q (2003) Fractal analysis of satellite-detected urban heat island effect. Photogramm Eng Remote Sens 69(5):555–566

    Google Scholar 

  • Weng Q (2009) Thermal infrared remote sensing for urban climate and environmental studies: methods, applications, and trends. ISPRS J Photogramm 64(4):335–344. https://doi.org/10.1016/j.isprsjprs.2009.03.007

    Article  Google Scholar 

  • Wu W, Ren H, Yu M, Wang Z (2018) Distinct influences of urban villages on urban heat islands: a case study in the Pearl River Delta, China. Int J Environ Res Public Health 15(8):1666. https://doi.org/10.3390/ijerph15081666

    Article  Google Scholar 

  • 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 Sens Environ 104(2):147–156. https://doi.org/10.1016/j.rse.2005.09.023

    Article  Google Scholar 

  • Xiang-Jun O, Chen L, Li-wei L, Feng-ping X, Yi H, Xiao-pei X, Fu-ju C (2010) Level prediction of urbanization of population in Xuzhou city. In: 青岛科技大学学报(社会科学版), pp 19–23

  • Xianhong M, Shihua L, Yu Z, Tangtang Z (2005) Retrieving of land surface temperature over Jinta area using LANDSAT-5 TM data. Plateau Meteorol 5:721–726

    Google Scholar 

  • Xiuchen L (2020) Reflections on Urban greenland rate and critical point. Urban Planning Newsreport 9(9)

  • Xuzhou Municipal Bureau of Statistics (2015) National Bureau of Statistics Xuzhou Investigation Team: XUZHOU Statistical Yearbook (《徐州年鉴》(2015卷)编纂人员 《徐州年鉴》(2015卷)编纂人员). China Statistics Press, Beijing

    Google Scholar 

  • Yan Y (2014) Research on hydrological effects of urbanization in Xuzhou. 硕士, China University of Mining and Technology

  • Yang X, Chen Z, Cai H, Ma L (2014) A framework for assessment of the influence of China’s urban underground space developments on the urban microclimate. Sustainability, vol. 6

  • Yang C, Wang R, Zhang S, Ji C, Fu X (2019) Characterizing the hourly variation of urban heat islands in a snowy climate city during summer. Int J Environ Res Public Health 16(14):2467. https://doi.org/10.3390/ijerph16142467

    Article  Google Scholar 

  • Yujiao D, Haibin S, Minda H (2012) Geographical division of land surface temperature in Dongguan City based on Landsat/TM data. Res Soil Water Conserv 2:62–65

    Google Scholar 

  • Zhang R (2020) Support of new code for classification of urban land use and planning standards of development land for urban planning: from public policy viewpoint. Planners 2:17–22

    Google Scholar 

  • Zhang H, Du P, Luo Y, Liu P (2008) Analysis of relationship between urban thermal pattern and land use/land cover-taking Xuzhou city as an example. In: Paper presented at the' 2008 Proceedings of Information Technology and Environmental System Sciences: Itess 2008, vol 3. Beijing (2008–01–01)

  • Zhang H, Qi Z, Ye X, Cai Y, Ma W, Chen M (2013) Analysis of land use/land cover change, population shift, and their effects on spatiotemporal patterns of urban heat islands in metropolitan Shanghai, China. Appl Geogr 44:121–133. https://doi.org/10.1016/j.apgeog.2013.07.021

    Article  Google Scholar 

  • Zhang L, Meng Q, Sun Z, Sun Y (2017) Spatial and temporal analysis of the mitigating effects of industrial relocation on the surface urban heat island over China. ISPRS Int J Geo Inf 6(121):121

    Google Scholar 

  • Zhao P (2012) Reading new code for classification of urban land use and planning standards of development land: its application and prospects. Planners 2:10–16

    Google Scholar 

  • Zhao M, Cai H, Qiao Z, Xu X (2016) Influence of urban expansion on the urban heat island effect in Shanghai. Int J Geogr Inf Sci 30(12):2421–2441. https://doi.org/10.1080/13658816.2016.1178389

    Article  Google Scholar 

  • Zhao J, Wang R, Luo P, Xing L, Sun T (2017) Visual ecology: exploring the relationships between ecological quality and aesthetic preference. Landsc Ecol Eng 13(1):107–118. https://doi.org/10.1007/s11355-016-0306-6

    Article  Google Scholar 

  • Zhihao Q, Wenjuan LI, Minghua Z, Karnieli A, Berliner P (2003) Estimating of the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from Landsat TM6. Remote Sens Land Resour 2:37–43

    Google Scholar 

  • Zhou L, Dickinson RE, Tian Y, Fang J, Li Q, Kaufmann RK et al (2004) Evidence for a significant urbanization effect on climate in china. Proc Nat Acad Sci USA 101(26):9540–9544

    Google Scholar 

  • Zhou W, Qian Y, Li X, Li W, Han L (2014) Relationships between land cover and the surface urban heat island: seasonal variability and effects of spatial and thematic resolution of land cover data on predicting land surface temperatures. Lands Ecol 29(1):153–167

    Google Scholar 

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Acknowledgements

This research was financially supported by the Fundamental Research Funds for the Central Universities (No.2014ZDPY30), for which we are very grateful. We also express our thanks to the reviewers for their innovative and supportive comments. This research was financially supported by the National Natural Science Foundation of China (Grant No. 51778611), the Scientific Research Foundation for the Introduction of Talent of Anhui University of Science and Technology (ZRC2014466) and the second batch of open funds from Jiangsu Collaborative Innovation Center for Building Energy Saving and Construction Technology (SJXTQ1616) as well as data support from the China Meteorological Administration, the Chinese Academy of Sciences Computer Network Information Center and the Xuzhou Urban Planning Bureau, for which we are very grateful. We also express our thanks to the editors and the reviewers for their innovative and supportive comments in various stages.

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Liang, X., Ji, X., Guo, N. et al. Assessment of urban heat islands for land use based on urban planning: a case study in the main urban area of Xuzhou City, China. Environ Earth Sci 80, 308 (2021). https://doi.org/10.1007/s12665-021-09588-5

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