Using the top-down energy inventory method and considering the energy consumption from industry, transportation, buildings and human metabolism, total anthropogenic heat emissions from the 68 counties of Zhejiang Province in 2010 were calculated. The DMSP/OLS nighttime light data and the thresholding method were used to extract the main emission areas of anthropogenic heat and to reduce the overglow effect. High-resolution enhanced vegetation index (EVI) data were integrated with DMSP/OLS data to generate a human settlement index (HSI). Using the significant correlation between total anthropogenic heat emissions and cumulative HIS, the model for anthropogenic heat flux estimation was developed and implemented in Zhejiang Province. A gridded anthropogenic heat flux map was generated at a resolution of 250m×250m. The results show that the mean flux in the study area was 5.5W/m2 with the high values between 10W/m2 and 40W/m2 in most urban areas. The gridded anthropogenic heat data can be served as an input in the simulation of urban climate and environment.
马盼盼, 吾娟佳, 杨续超, 齐家国. 基于多源遥感信息的人为热排放量空间化——以浙江省为例[J]. 中国环境科学, 2016, 36(1): 314-320.
MA Pan-pan, WU Juan-jia, YANG Xu-chao, QI Jia-guo. Spatialization of anthropogenic heat using multi-sensor remote sensing data: a case study of Zhejiang Province, East China. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(1): 314-320.
Fan H, Sailor D J. Modeling the impacts of anthropogenic heating on the urban climate of Philadelphia:a comparison of implementations in two PBL schemes[J]. Atmospheric Environment, 2005,39(1):73-84.
Makar P, Gravel S, Chirkov V, et al. Heat flux, urban properties, and regional weather[J]. Atmospheric Environment, 2006,40(15):2750-2766.
[9]
Zhang Ning, Wang Xuemei, Chen Yan, et al. Numerical simulations on influence of urban land cover expansion and anthropogenic heat release on urban meteorological environment in Pearl River Delta[J]. Theoretical and Applied Climatology, 2015.
[10]
Yu M, Carmichael G R, Zhu T, et al. Sensitivity of predicted pollutant levels to anthropogenic heat emissions in Beijing[J]. Atmospheric Environment, 2014,89(2):169-178.
[11]
Sailor D J, Georgescu M, Milne J M et al. Development of a national anthropogenic heating database with an extrapolation for international cities[J]. Atmospheric Environment, 2015,118:7-18.
[12]
Smith C, Lindley S, Levermore G. Estimating spatial and temporal patterns of urban anthropogenic heat fluxes for UK cities:the case of Manchester[J]. Theoretical and Applied Climatology, 2009,98(1/2):19-35.
[13]
Sailor D J, Brooks A, Hart M, et al. A bottom-up approach for estimating latent and sensible heat emissions from anthropogenic sources[J]. Seventh Symposium on the Urban Environment, 2007.
[14]
Flanner M G. Integrating anthropogenic heat flux with global climate models[J]. Geophysical Research Letters, 2009,36(2).
[15]
Ichinose T, Shimodozono K, Hanaki K. Impact of anthropogenic heat on urban climate in Tokyo[J]. Atmospheric Environment, 1999,33(24):3897-3909.
[16]
Elvidge C D, Baugh K E, Kihn E A, et al. Mapping city lights with nighttime data from the DMSP Operational Linescan System[J]. Photogrammetric Engineering and Remote Sensing, 1997, 63(6):727-734.
[17]
Chen B, Shi G, Wang B, et al. Estimation of the anthropogenic heat release distribution in China from 1992 to 2009[J]. Acta Meteorologica Sinica, 2012,26:507-515.
Letu H, Hara M, Yagi H, et al. Estimating energy consumption from night-time DMPS/OLS imagery after correcting for saturation effects[J]. International Journal of Remote Sensing, 2010,31(16):4443-4458.
[20]
Lu D, Tian H, Zhou G, et al. Regional mapping of human settlements in southeastern China with multisensor remotely sensed data[J]. Remote Sensing of Environment, 2008,112(9):3668-3679.
[21]
Weng Q, Lu D, Schubring J. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies[J]. Remote sensing of Environment, 2004,89(4):467-483.
Grimmond C S B, Oke T R. Heat storage in urban areas:Local-scale observations and evaluation of a simple model[J]. Journal of applied meteorology, 1999,38(7):922-940.
[27]
Quah A K L, Roth M. Diurnal and weekly variation of anthropogenic heat emissions in a tropical city, Singapore[J]. Atmospheric Environment, 2012,46:92-103.
[28]
Zhao N, Ghosh T, Samson E L. Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery[J]. International journal of remote sensing, 2012,33(20):6304-6320.
[29]
Yang W, Chen B, Cui X. High-resolution mapping of anthropogenic heat in China from 1992 to 2010[J]. International journal of environmental research and public health, 2014,11(4):4066-4077.
[30]
Yue W, Gao J, Yang X. Estimation of gross domestic product using multi-sensor remote sensing data:A case study in Zhejiang Province, East China[J]. Remote Sensing, 2014,6(8):7260-7275.
[31]
Pigeon G, Legain D, Durand P, et al. Anthropogenic heat release in an old European agglomeration (Toulouse, France)[J]. International Journal of Climatology, 2007,27(14):1969-1981.
Oke T R. The urban energy balance[J]. Progress in Physical geography, 1988,12(4):471-508.
[38]
Lee S H, Kim S T. Estimation of anthropogenic heat emission over South Korea using a statistical regression method[J]. Asia-Pacific Journal of Atmospheric Sciences, 2015,51:1-10.
[39]
Lindberg F, Grimmond C S B, Yogeswaran N, et al. Impact of city changes and weather on anthropogenic heat flux in Europe 1995-2015[J]. Urban Climate, 2013,4:1-15.
[40]
Lee S H, Song C K, Baik J J, et al. Estimation of anthropogenic heat emission in the Gyeong-In region of Korea[J]. Theoretical and Applied Climatology, 2009,96(3/4):291-303.
Yue T X, Wang Y A, Chen S P, et al. Numerical simulation of population distribution in China[J]. Population and Environment, 2003,25(2):141-163.
[43]
Christopher D E, Kimberly E B, Mikhail Zhizhin, et al. Why VIIRS data are superior to DMSP for mapping nighttime lights[J]. Proceedings of the Asia-Pacific Advanced Network, 2013,35:62-69.
