Abstract
Based on the statistical data from National Bureau of Statistical of China, this paper shows the correlationship between the energy consumption of the provinces and temperature of corresponding capitals. After that Shanghai is researched as an example, and an forecast of Shanghai’s temperature after 20 years is draw out on condition that the energy consumption of this city keeps the same increasing rate as the average value of the last 6 years up to 2008. And then it is shown that industry and traffic make up the main part of Shanghai’s energy consumption. Thus, it is educed as a conclusion that the future achievement on the recycle of industrial residual heat and energy and on the control of traffic energy consumption will be the effective approach to slow the total energy use increment and thus slow the temperature ascent.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Broecker, W.S.: Global warming: to move or to wait? Chinese Science Bulletin 51, 13 (2006)
Crowley, T.J.: Causes of climate change over the past 1000 years. Science 289(5477), 270 (2000)
Gu, Z.: The effects of climate warming and human turbulence on the permafrost in the northward slope of MT.DA hinggan ling-take a sample from amur area. Acta Geographica Sinica 49(002), 182–187 (1994)
Huang, Q., Shao, X.: The influence of climate warming on infection. Chinese Journal of Pest Control 16(002), 110–112 (2000)
Lai, Y.M.: The cooling effect of the qingzang railway embankment under the climate warming background. Chinese Science Bulletin 48(003), 292–297 (2003)
Xu, X., Tian, H., Wan, S.: Climate warming inpacts on carbon cycling in terrestrial ecosystems. Journal of Plant Ecology 31(002), 175–188 (2007)
Zheng, Y., et al.: Climatic warming and its impact on Chinese agriculture. Journal of Anhui Agricultural Sciences 36(010), 4193–4195 (2008)
Chamberlin, T.C.: An attempt to frame a working hypothesis of the cause of glacial periods on an atmospheric basis. The Journal of Geology 7(6), 545–584 (1899)
Petit, J.R., et al.: Climate and atmospheric history of the past 420,000 years from the Vostok ice core, Antarctica. Nature 399(6735), 429–436 (1999)
Li, H.: Quantitative analyses of global warming and prediction for global mean temperature change. Master (2007)
Niu, Q., et al.: Correlation study between the energy consumption of provinces of China and the annual mean temperature of their capitals. Energy of China (2010)
Niu, Q., et al.: Comparison study between the energy consumption of provinces of China and the temperature variety of their capitals. China Energy Forum (2010)
CICERO Report 2000:1 - Climate change. Scientific background and process, p. 23 (2002)
Guang hui liu shi zai 1949 2009 shanghai li shi zi liao tong ji hui bian. Shanghai Bureau of Statistics. China Statistics Press (2009)
China economic census yearbook 2008. National Bureau of Statistic of China (2008)
Yuan, z.: Energy production, consumption and utilization of Shanghai 2009. Zhejiang Statistics (2010)
Quan guo di mian qi hou zi liao 1961-1990 tong ji fang fa. China meteorological center (1990)
Di mian qi xiang gui fan. China meteorological administration (1979)
Wen, Y.: Present and future propects of Chinese iron and steel industry energy conservation. China Energy Forum, 896–902 (2010)
Jiang, Y.: Chong fen li yong ge zhong gong ye yu re jie jue bei fang cheng shi gong re xu qiu. China Energy Forum, 881–884 (2010)
Song, W., et al.: New technology for centralized cooling system—latent heat transportation using TBAB clathrate hydrate slurry. China Energy Forum, 914–921 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Niu, Q., Lin, F., Nie, C., Li, L. (2011). Forecast Study of Temperature of Shanghai Base on Energy Consuming Analysis. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23753-9_72
Download citation
DOI: https://doi.org/10.1007/978-3-642-23753-9_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23752-2
Online ISBN: 978-3-642-23753-9
eBook Packages: EngineeringEngineering (R0)