Relationship between Chinese WeiHai Urbanization and Climate Change

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Abstract:

Because of speediness urbanization, the numerous greenhouse gas is being let because of human activity. The impact of the associated factors on the metropolitan area is the hot research area. This paper focuses on the numerical simulation of weihais meteorological parameters, including atmosphere temperature and rainfall, trying to find establish a method to research the relationship between the urbanization and the climate change.

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386-389

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] National Bureau of Statistics, China Statistical Yearbook 2010, Beijing: China Statistics Press, (2010).

Google Scholar

[2] Howard L. the climate of London. London: W Phillips, 1818.

Google Scholar

[3] Manley G. On the frequency of snowfall in metropolitan England. Quart J Roy Meteor Soc, 1958, 84(59): 70~72.

Google Scholar

[4] Rajagopalan P, Wong N H, Cheong K W D. Microclimatic modeling of the urban thermal environment of Singapore to mitigate urban heat island. Solar Energy, 2008, 82(8): 727~745.

DOI: 10.1016/j.solener.2008.02.008

Google Scholar

[5] Wu P. Study on urban heat island and its infiuence in Beijing city base on TM images: [Beijing: Beijing Forest University, (2010).

Google Scholar

[6] Zhang L, Xu Z, Ruan B. Effect of urban heat island on the air temperature and precipitation in Beijing region. Journal of natural resources, 2006, 21(5): 746~755.

Google Scholar

[7] Myrup L O. A numerical model of the urban heat island. journal of applied meteorology, 1969, 8: 908~918.

DOI: 10.1175/1520-0450(1969)008<0908:anmotu>2.0.co;2

Google Scholar

[8] Hu X, Liu S, Liang F, et al. Numerical Simulation of Features of Surface Boundary-Layer over Beijing Area. Acta Scientiarum Naturalium Universitatis Pekinensis, 2005, 41(4): 514~522.

Google Scholar

[9] Peng J, Liu W, Long B, et al. A study of the urban heat island of beijing based on remote sensing images. process in geophysics, 2007, 22(6): 1942~(1947).

Google Scholar

[10] Weng Q. Fractal analysis of satellite-detected urban heat island effect. Photogrammetric Engineering and Remote Sensing, 2003, 69(5): 555~566.

DOI: 10.14358/pers.69.5.555

Google Scholar

[11] Natual environment. http: /www. whsq. gov. cn/default. asp?id=349569: 2011- 6-29.

Google Scholar

[12] Cressie N. Kriging nonstationary data. Journal of the American Statistical Association, 1986, 81(4): 625~634.

DOI: 10.1080/01621459.1986.10478315

Google Scholar

[13] Yang G, Zhang G, Li S. Application of universal Kriging interpolation in geomagnetic map. Journal of Chinese Inertial Technology, 2008, 16(2): 162~166.

Google Scholar

[14] Carlson T N, Riziley D A. On the Relation between NDVI, Fractional Vegetation Cover, and Leaf Area Index. Remote Sensing of Environment, 1997, 62(3): 241~252.

DOI: 10.1016/s0034-4257(97)00104-1

Google Scholar

[15] Gao B. NDWI—A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 1996, 58(3): 257~266.

DOI: 10.1016/s0034-4257(96)00067-3

Google Scholar

[16] Zha Y, Ni S X, Yang S. An Effective Approach to Automatically Extract Urban Land-use from TM lmagery. JOURNAL OF REMOTE SENSING, 2003, 7(1): 37~41.

Google Scholar