Abstract
Urbanization is accompanied by drastic changes in the distribution of urban green space (UGS). This study aimed to analyze the relationship between the land surface temperature difference (∆LST) and the evolution of UGSs in the main area of Fuzhou City from 1993 to 2013 using a set of remote sensing images. The results manifest that with the maximum area of UGS loss, the less UGS extension, and the less UGS exchange, the UGS area declined sharply, which results in the rise of urban thermal problem and demonstrates the negative relationship between the UGS area and its internal land surface temperature (LST). Different UGS evolution types produced a diversified temperature response pattern. According to the profile assessment, a ∆LST above 10 °C, caused by the UGS loss converted to construction land, occurred in the peak position of the online profiles. Among the UGS loss, the conversion of water had the most apparent ∆LST, followed by wetlands and forest/grass areas. The threshold value of the UGS loss area (TVoA) was quantified by analyzing the temperature change effects based on the UGS evolution temperature effect index (GETX). We concluded that the urban heat island (UHI) can be effectively alleviated by keeping the magnitude of the UGS extensions equal to the UGS loss and the UGS utilization area below 0.04 km2 in Fuzhou City. Further analysis clarified that vegetation cover changes and the evolution of UGSs were the main factors controlling the distribution of the cold/heat island.
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Abbreviations
- LULC:
-
Land use/land cover
- UGS:
-
Urban green space
- UHI:
-
Urban heat island
- UCI:
-
Urban cold island
- LST:
-
Land surface temperature
- RLST:
-
Relative land surface temperature
- GETX:
-
UGS evolution temperature changeeffectindex
- TVoA:
-
Threshold value of UGS loss area
References
Aboelata, A. E. (2017). Study the vegetation as urban strategy to mitigate urban heat island in mega City Cairo. Procedia Environmental Sciences, 37, 386–395.
Bao, T., Li, X., Zhang, J., Zhang, Y., & Tian, S. (2016). Assessing the distribution of urban green spaces and its anisotropic cooling distance on urban heat island pattern in Baotou, China. ISPRS International Journal of Geographical Information Science, 5, 12.
Barsi, J. A., Schott, J. R., Palluconi, F. D., & Hook, S. J. (2005). Validation of a web-based atmospheric correction tool for single thermal band instruments. Proceedings of SPIE - The International Society for Optical Engineering, 58820.
Bowler, D. E., Buyungali, L., Knight, T. M., et al. (2010). Urban greening to cool towns and cities: A systematic review of the empirical evidence. Landscape and Urban Planning, 97(3), 147–155.
Cai, Y. B., Zhang, H., Pan, W. B., Chen, Y. H., & Wang, X. R. (2012). Urban expansion and its influencing factors in natural wetland distribution area in Fuzhou City, China. Chinese Geographical Science, 22(5), 568–577.
Cai, Y. B., Zhang, H., Zheng, P., et al. (2016). Quantifying the impact of land use/land cover changes on the urban heat island: A case study of the natural wetlands distribution area of Fuzhou City, China. Wetlands, 36(2), 285–298.
Cai, Z., Han, G. F., & Chen, M. C. (2018). Do water bodies play an important role in the relationship between urban form and land surface temperature? Sustainable Cities Society, 39, 487–498.
Carlson, T. N., & Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing Enviroment, 62(3), 241–252.
Chander, G., & Markham, B. (2003). Revised Landsat-5 TM radiometric calibration procedures and post calibration dynamic ranges. IEEE Transactions on Geoscience and Remote Sensing, 41(11), 2674–2677.
Coutts, A. M., Daly, E., Beringer, J., & Tapper, N. J. (2013). Assessing practical measures to reduce urban heat: Green and cool roofs. Building and Environment, 70(12), 266–276.
Daniel, C., Mysore, G., & Nassir, E. (2005). Predicting river water temperatures using the equilibrium temperature concept with application on Miramichi river catchments (New Brunswick, Canada). Hydrological Processes, 19(11), 2137–2159.
Emmanuel, R., & Fernando, H. (2007). Urban heat islands in humid and arid climates: Role of urban form and thermal properties in Colombo, Sri Lanka and Phoenix, USA. Climate Research, 34(3), 241–251.
Feyisa, G. L., Meilby, H., Jenerette, G. D., et al. (2016). Locally optimized separability enhancement indices for urban land cover mapping: Exploring thermal environmental consequences of rapid urbanization in Addis Ababa, Ethiopia. Remote Sensing of Environment, 175, 14–31.
Fu, B. J., Zhao, W. W., & Chen, L. D. (2006). Progress and perspective of geographical-ecological processes. Acta Geographica Sinica, 61(11), 1123–1131 (in Chinese).
Gao, Y., Xie, M. M., Fu, M. C., et al. (2014). Pattern dynamics of vegetation coverage of Plateau Valley-City in the Western China: A case study in Xining. Acta Ecologica Sinica, 34(5), 1094–1104.
Garuma, G. F., Blanchet, J.-P., Girard, É., & Leduc, M. (2018). Urban surface effects on current and future climate. Urban Climate, 24, 121–138.
Heinrichs, H. U., & Markewitz, P. (2017). Long-term impacts of a coal phase-out in Germany as part of a greenhouse gas mitigation strategy. Applied Energy, 192, 234–246.
Jacobs, A. F. G., Jetten, T. H., Lucassen, D., Heusinkveld, B. G., & Joost P., N. (1997). Diurnal temperature fluctuations in a natural shallow water body. Agricultural and Forest Meteorology, 88(1–4), 269–277.
Jaganmohan, M., Knapp, S., Buchmann, C. M., & Schwarz, N. (2016). The bigger, the better? The influence of urban green space design on cooling effects for residential areas. Journal of Environmental Quality, 45, 134–145.
Jin, X. B., Long, Y., Sun, W., et al. (2017). Evaluating cities' vitality and identifying ghost cities in China with emerging geographical data. Cities, 63, 98–109.
Knox, J. C. (2001). Agricultural influence on landscape sensitivity in the upper Mississippi River valley. Catena, 42(2–4), 193–224.
Lahmer, W., Pfützner, B., & Becker, A. (2001). Assessment of land use and climate change impacts on the mesoscale. Physics and Chemistry of the Earth Part B: Hydrology, Oceans and Atmosphre, 26(7), 565–575.
Lazzarini, M., Marpu, P. R., & Ghedira, H. (2013). Temperature-land cover interactions: The inversion of urban heat island phenomenon in desert city areas. Remote Sensing of Environment, 130(4), 136–152.
Li, S. C., Zhao, Z. Q., & Wang, Y. L. (2009). Urbanization process and effects of natural resource and environment in China: Research trends and future directions. Progress in Geography, 28(1), 63–70 (in Chinese).
Li, X., Zhou, W., Ouyang, Z., Xu, W., & Zheng, H. (2012). Spatial pattern of green space affects land surface temperature: Evidence from the heavily urbanized Beijing metropolitan area, China. Landscape Ecology, 27(6), 887–898.
Li, G. D., Zhang, X., Mirzaei, A. P., et al. (2018). There is considerable correlation between comprehensive urbanization index and UHI. Sustain Cities Soc, 38, 736–745.
Matthew, M., Aaron, G., Allen, L., et al. (2014). Stray light artifacts in imagery from the Landsat 8 thermal infrared sensor. Remote Sensing, 6(11), 10435–10456.
Meerow, S., Newell, J. P., & Stults, M. (2016). Defining urban resilience: A review. Landscape and Urban Planning, 147, 38–49.
Monteiro, M. V., Doick, K. J., Handley, P., & Peace, A. (2016). The impact of green space size on the extent of local nocturnal air temperature cooling in London. Urban Forestry & Urban Greening, 16, 160–169.
Moonen, P., Defraeye, T., Dorer, V., Blocken, B., & Carmeliet, J. (2012). Urban physics: Effect of the microclimate on comfort, health and energy demand. Frontiers of Architectural Research, 1(3), 197–228.
National Bureau of Statistics of China, (2015). China statistical yearbook. Beijing: China Statistical Publishing House.
Ngom, R., Gosselin, P., & Blais, C. (2016). Reduction of disparities in access to green spaces: Their geographic insertion and recreational functions matter. Applied Geography, 66, 35–51.
Noro, M., Busato, F., & Lazzarin, R. (2015). Urban heat island in Padua, Italy: Experimental and theoretical analysis. Indoor and Built Environment, 24(4), 514–533.
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, 2186–2194.
Peng, J., Xie, P., Liu, Y., & Ma, J. (2016). Urban thermal environment dynamics and associated landscape pattern factors: A case study in the Beijing metropolitan region. Remote Sensing of Environment, 173, 145–155.
Peterson, T. C., & Owen, T. W. (2005). Urban heat island assessment: Metadata are important. Journal of Climate, 18(14), 2637–2646.
Qin, Z. H., Zhang, M. H., et al. (2001). Mono-window algorithm for retrieving land surface temperature from Landsat TM6 data. Acta Geo Sinorama, 56(4), 456–466 (in Chinese).
Qin, Z., Li, W., Zhang, M., Karnieli, A., & Berliner, P. (2003). Estimating of the essential atmospheric parameters of mono-window algorithm for land surface temperature retrieval from Landsat TM 6. Remote Sensing for Land & Resources, 15(2), 37–43 (in Chinese).
Rana, M. M. P. (2011). Urbanization and sustainability: Challenges and strategies for sustainable urban development in Bangladesh. Environment, Development and Sustainability, 13(1), 237–256.
Ren, Y., Deng, L. Y., Zuo, S. D., Song, X. D., Liao, Y. L., Xu, C. D., Chen, Q., Hua, L. Z., & Li, Z. W. (2016). Quantifying the influences of various ecological factors on land surface temperature of urban forests. Environmental Pollution, 216(216), 519–529.
Sobrino, J. A., Caselles, V., & Becker, F. (1990). Significance of the remotely sensed thermal infrared measurements obtained over a citrus orchard. ISPRS Journal of Photogrammetry and Remote Sensing, 44(6), 343–354.
Sun, R., Chen, A., Chen, L., & Lü, Y. (2012). Cooling effects of wetlands in an urban region: The case of Beijing. Ecological Indicators, 20(9), 57–64.
Sun, R., Chen, L., & Braat, L. C. (2017). Effects of green space dynamics on urban heat islands: Mitigation and diversification. Ecosystem Services, 23, 38–46.
Turner, M. G. (2005). Landscape ecology North America: Past, present, and future. Ecology, 86(8), 1967–1974.
Van, N. O., Kawamura, K., Trong, D. P., et al. (2015). Temporal change and its spatial variety on land surface temperature and land use changes in the red River Delta, Vietnam, using MODIS time-series imagery. Environmental Monitoring and Assessment, 187(7), 1–11.
Viegas, C. V., Saldanha, D. L., Bond, A., Ribeiro, J. L. D., & Selig, P. M. (2013). Urban land planning: The role of a master plan in influencing local temperatures. Cities, 35(35), 1–13.
Wu, L. N., Yang, S. T., Liu, X. Y., et al. (2014). Response analysis of land use change to the degree of human activities in Beiluo River basin since 1976. Acta Geo Sinorama, 69(1), 54–63 (in Chinese).
Xu, H. Q. (2009). Quantitative analysis on the relationship of urban impervious surface with other components of the urban ecosystem. Acta Ecologica Sinica, 29(5), 2456–2462 (in Chinese).
Yang, J., Sun, J., Ge, Q. S., & Li, X. M. (2017). Assessing the impacts of urbanization-associated green space on urban land surface temperature: A case study of Dalian, China. Urban Forestry & Urban Greening, 22, 1–10.
Yu, Z. W., Guo, Q. H., & Sun, R. H. (2015). Impact of urban cooling effect based on landscape scale: A review. Chinese Journal of Applied Ecology, 26, 636–642.
Yu, Z., Guo, X., Jørgensen, G., & Vejre, H. (2017). How can urban green spaces be planned for climate adaptation in subtropical cities? Ecological Indicators, 82, 152–162.
Yu, Z. W., Guo, X. Y., Zeng, Y. X., et al. (2018). Variations in land surface temperature and cooling efficiency of green space in rapid urbanization: The case of Fuzhou City, China. Urban for. Urban Gree., 29, 113–121.
Zhang, H., Jing, X. M., Chen, J. Y., Li, J. J., & Schwegler, B. (2016). Characterizing urban fabric properties and their thermal effect using quickbird image and Landsat 8 thermal infrared (TIR) data: The case of downtown Shanghai, China. Remote Sensing, 8, 541–561.
Žuvela-Aloise, M., Koch R., Buchholz S., et al., 2016. Modelling the potential of green and blue infrastructure to reduce urban heat load in the city of Vienna. Clim. Change (135): 1–14.
Acknowledgments
Many thanks to Chinese Academy of Sciences for their data sharing platforms known as Geographic Space Cloud (http://www.gscloud.cn/) and the Open Spatial Data Sharing Project (http://ids.ceode.ac.cn/).
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This study is supported by the Social Science Planning Project of Fujian (No. FJ2016C033).
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Tong Chuan designed the overall ideas for this study. Chen Yanhong and Cai Yuanbin performed the data analysis. Chen Yanhong wrote this manuscript and all the authors got involved in discussion of improving the quality of this manuscript. Tong Chuan was responsible for the academic opinion of this manuscript.
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Chen, Y., Cai, Y. & Tong, C. Quantitative analysis of urban cold island effects on the evolution of green spaces in a coastal city: a case study of Fuzhou, China. Environ Monit Assess 191, 121 (2019). https://doi.org/10.1007/s10661-019-7213-x
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DOI: https://doi.org/10.1007/s10661-019-7213-x