Estimation of the Distribution of Global Anthropogenic Heat Flux

Abstract The radiance lights data in 2006 from the National Oceanic and Atmospheric Administration Air Force Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS) and authoritative energy data distributed by the United State Energy Information Administration were applied to estimate the global distribution of anthropogenic heat flux. A strong linear relationship was found to exist between the anthropogenic heat flux and the DMSP/OLS radiance data. On a global scale, the average value of anthropogenic heat flux is approximately 0.03 W m–2 and 0.10 W m–2 for global land area. The results indicate that global anthropogenic heat flux was geographically concentrated and distributed, fundamentally correlating to the economical activities. The anthropogenic heat flux concentrated in the economically developed areas including East Asia, Europe, and eastern North America. The anthropogenic heat flux in the concentrated regions, including the northeastern United States, Central Europe, United Kingdom, Japan, India, and East and South China is much larger than global average level, reaching a large enough value that could affect regional climate. In the center of the concentrated area, the anthropogenic heat flux density may exceed 100 W m–2, according to the results of the model. In developing areas, including South America, Central and North China, India, East Europe, and Middle East, the anthropogenic heat flux can reach a level of more than 10 W m–2; however, the anthropogenic heat flux in a vast area, including Africa, Central and North Asia, and South America, is low. With the development of global economy and urban agglomerations, the effect on climate of anthropogenic heat is essential for the research of climate change.

[1]  Yang Su Climate Forcing due to Anthropogenic Heat Release over China , 2011 .

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

[3]  C. Elvidge,et al.  Methods Used For the 2006 Radiance Lights , 2010 .

[4]  C. Elvidge,et al.  Spatial analysis of global urban extent from DMSP-OLS night lights , 2005 .

[5]  S. Solomon The Physical Science Basis : Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change , 2007 .

[6]  Paul A. Makar,et al.  Heat flux, urban properties, and regional weather , 2006 .

[7]  M. Davies,et al.  The significance of the anthropogenic heat emissions of London's buildings: A comparison against captured shortwave solar radiation , 2009 .

[8]  C. Elvidge,et al.  Relation between satellite observed visible-near infrared emissions, population, economic activity and electric power consumption , 1997 .

[9]  Boulder,et al.  The first World Atlas of the artificial night sky brightness , 2001, astro-ph/0108052.

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

[11]  G. Tana,et al.  Estimating energy consumption from night-time DMPS/OLS imagery after correcting for saturation effects , 2010 .

[12]  David J. Sailor,et al.  Modeling the impacts of anthropogenic heating on the urban climate of Philadelphia: a comparison of implementations in two PBL schemes , 2005 .

[13]  P. Sutton,et al.  Radiance Calibration of DMSP-OLS Low-Light Imaging Data of Human Settlements , 1999 .

[14]  Christopher D. Elvidge,et al.  Estimation of Mexico's Informal Economy and Remittances Using Nighttime Imagery , 2009, Remote. Sens..

[15]  J. Muller,et al.  Night-time Imagery as a Tool for Global Mapping of Socioeconomic Parameters and Greenhouse Gas Emissions , 2000 .

[16]  Klaus Keuler,et al.  Impacts of anthropogenic heat on regional climate patterns , 2004 .

[17]  Shamil Maksyutov,et al.  A very high-resolution (1 km×1 km) global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights , 2011 .

[18]  J. A. Quintanilha,et al.  DMSP/OLS night‐time light imagery for urban population estimates in the Brazilian Amazon , 2006 .

[19]  R. Betts,et al.  Climate change in cities due to global warming and urban effects , 2010 .