A distributed model for quantifying temporal-spatial patterns of anthropogenic heat based on energy consumption

Abstract Although energy-induced anthropogenic heat emissions form localized hotspots, they can influence the variability of urban climate. A lack of anthropogenic heat quantification in different locations and times has created a barrier in current research on urban climate. This study presented a distributed model of anthropogenic heat (DMA) that can be used for quantifying the temporal-spatial patterns of anthropogenic heat. The intensity of anthropogenic heat was estimated by separately considering the major sources of waste heat generated in urban environments from vehicular traffic, buildings, industry, and human metabolism individually. The contribution of anthropogenic heat to urban environments was assessed by the ratio of anthropogenic heat intensity to solar radiation (δ). The DMA was implemented inside the 5th ring-road of Beijing based on 6941 urban functional zone polygons which were attributed to seven zone types including agricultural, campus, commercial, industrial, preservation, public, and residential. Results showed that: (1) the total anthropogenic heat in Beijing reached 1.11 × 10 18  J per year. Buildings occupied 45% of the total anthropogenic heat fluxes, followed by traffic (30%), industrial (20%), and human metabolism sources (5%); (2) the mean intensity of anthropogenic heat peaked at 135 Wm −2 in winter, 84 Wm −2 in autumn, 82 Wm −2 in summer, and 77 Wm −2 in spring; (3) the contribution of anthropogenic heat to urban climate decreased in the order of commercial (δ = 0.5), industrial (0.47), campus (0.33), residential (0.32), public (0.32), preservation (0.09), and agricultural zones (0.07). This study indicates that a greater focus on energy reduction would be most effective in mitigating the effects of anthropogenic heat in commercial and industrial zones and in winter. The DMA is a feasible tool that can be used to quantify the temporal and spatial variations of anthropogenic heat based on energy consumption data in other urban regions.

[1]  R. McDonald,et al.  Planting healthy air: a global analysis of the role of urban trees in addressing particulate matter pollution and extreme heat. , 2016 .

[2]  A. Pitman,et al.  The impact of an urban canopy and anthropogenic heat fluxes on Sydney's climate , 2017 .

[3]  C. Grimmond,et al.  Investigation of the impact of anthropogenic heat flux within an urban land surface model and PILPS-urban , 2016, Theoretical and Applied Climatology.

[4]  Qihao Weng,et al.  Consistent land surface temperature data generation from irregularly spaced Landsat imagery , 2016 .

[5]  D. Sailor.  A review of methods for estimating anthropogenic heat and moisture emissions in the urban environment , 2011 .

[6]  Sanda Lenzholzer,et al.  Climate-responsive landscape architecture design education , 2013 .

[7]  Vijay Modi,et al.  Spatial distribution of urban building energy consumption by end use , 2012 .

[8]  Jianguo Wu,et al.  Spatial pattern of urban functions in the Beijing metropolitan region , 2010 .

[9]  David J. Sailor,et al.  Correcting aggregate energy consumption data to account for variability in local weather , 2006, Environ. Model. Softw..

[10]  C. Grimmond,et al.  Understanding and reducing the anthropogenic heat emission , 2016 .

[11]  Geoff Levermore,et al.  Estimating spatial and temporal patterns of urban anthropogenic heat fluxes for UK cities: the case of Manchester , 2009 .

[12]  C. S. B. Grimmond,et al.  Heat storage and anthropogenic heat flux in relation to the energy balance of a central European city centre , 2005 .

[13]  Shuguang Liu,et al.  Prevalent vegetation growth enhancement in urban environment , 2016, Proceedings of the National Academy of Sciences.

[14]  Aixue Hu,et al.  Energy consumption and the unexplained winter warming over northern Asia and North America , 2013 .

[15]  Canbing Li,et al.  Interaction between urban microclimate and electric air-conditioning energy consumption during high temperature season , 2014 .

[16]  V. Masson,et al.  Anthropogenic heat release in an old European agglomeration (Toulouse, France) , 2007 .

[17]  M. Roth,et al.  Diurnal and weekly variation of anthropogenic heat emissions in a tropical city, Singapore , 2012 .

[18]  C. Grimmond.  The suburban energy balance: Methodological considerations and results for a mid-latitude west coast city under winter and spring conditions , 1992 .

[19]  Keisuke Hanaki,et al.  Impact of anthropogenic heat on urban climate in Tokyo , 1999 .

[20]  Pak Wai Chan,et al.  Modeling of Anthropogenic Heat Flux Using HJ-1B Chinese Small Satellite Image: A Study of Heterogeneous Urbanized Areas in Hong Kong , 2015, IEEE Geoscience and Remote Sensing Letters.

[21]  P. Morefield,et al.  Urban adaptation can roll back warming of emerging megapolitan regions , 2014, Proceedings of the National Academy of Sciences.

[22]  Giorgos Theodosiou,et al.  Integration of the environmental management aspect in the optimization of the design and planning of energy systems , 2015 .

[23]  R. Sun,et al.  Effects of green space dynamics on urban heat islands: Mitigation and diversification , 2017 .

[24]  Philippe Ciais,et al.  The contribution of China’s emissions to global climate forcing , 2016, Nature.

[25]  Chun-Ming Hsieh,et al.  Mitigating urban heat islands: A method to identify potential wind corridor for cooling and ventilation , 2016, Comput. Environ. Urban Syst..

[26]  Christopher S. Galletti,et al.  Landscape configuration and urban heat island effects: assessing the relationship between landscape characteristics and land surface temperature in Phoenix, Arizona , 2013, Landscape Ecology.

[27]  Yasushi Yamaguchi,et al.  Analysis of urban heat-island effect using ASTER and ETM+ Data: Separation of anthropogenic heat discharge and natural heat radiation from sensible heat flux , 2005 .

[28]  Weimin Ju,et al.  Temporal upscaling of surface urban heat island by incorporating an annual temperature cycle model: A tale of two cities , 2016 .

[29]  Shem Heiple,et al.  Using building energy simulation and geospatial modeling techniques to determine high resolution building sector energy consumption profiles , 2008 .

[30]  M. Georgescu,et al.  A multi-method and multi-scale approach for estimating city-wide anthropogenic heat fluxes , 2014 .

[31]  Sean Beevers,et al.  High‐resolution (space, time) anthropogenic heat emissions: London 1970–2025 , 2012 .

[32]  Yongli Cai,et al.  Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration. , 2016, The Science of the total environment.

[33]  Nina Schwarz,et al.  Relationship of land surface and air temperatures and its implications for quantifying urban heat island indicators—An application for the city of Leipzig (Germany) , 2012 .

[34]  Y. Lü,et al.  Assessing the stability of annual temperatures for different urban functional zones , 2013 .

[35]  Yuyu Zhou,et al.  Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use , 2012 .

[36]  Ting Sun,et al.  Spatiotemporal characteristics of anthropogenic heat in an urban environment: A case study of Tsinghua Campus , 2014 .

[37]  S. Dhakal.  Urban energy use and carbon emissions from cities in China and policy implications , 2009 .

[38]  Kathrin Menberg,et al.  Long-term evolution of anthropogenic heat fluxes into a subsurface urban heat island. , 2013, Environmental science & technology.

[39]  Stephen Pullen,et al.  Impacts of heat waves and corresponding measures: a review , 2015 .

[40]  S. Belcher,et al.  Impact of anthropogenic heat emissions on London's temperatures , 2014 .

[41]  Y. Yamaguchi,et al.  Estimation of storage heat flux in an urban area using ASTER data , 2007 .

[42]  Keisuke Hanaki,et al.  Managing heat rejected from air conditioning systems to save energy and improve the microclimates of residential buildings , 2011, Comput. Environ. Urban Syst..

[43]  Ranhao Sun,et al.  How can urban water bodies be designed for climate adaptation , 2012 .

[44]  M. Flanner,et al.  Integrating anthropogenic heat flux with global climate models , 2009 .

[45]  K. Kłysik.  Spatial and seasonal distribution of anthropogenic heat emissions in Lodz, Poland , 1996 .

[46]  D. Sailor,et al.  Comparative estimates of anthropogenic heat emission in relation to surface energy balance of a subtropical urban neighborhood , 2016 .

[47]  Jong-Jin Baik,et al.  Estimation of anthropogenic heat emission in the Gyeong-In region of Korea , 2009 .