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cje ›› 2012, Vol. 31 ›› Issue (06): 1541-1547.

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Potential effects of urban planning on local climate in Binhai New Area of Tianjin City, North China.

LI Ming-cai1**, XIONG Ming-ming1, HUANG He2, REN Yu1, ZHANG Hao2   

  1. (1 Tianjin Climate Center, Tianjin 300074, China; 2 Tianjin Institute of Meteorology, Tianjin 300074, China)
  • Online:2012-06-09 Published:2012-06-09

Abstract: In order to understand the potential effects of urban planning on local climate, the Nangang industrial area in the south Binhai New Area of Tianjin was taken as a case, and a boundary layer model was applied to simulate the variations of climatic environmental elements before and after urban planning, with the possible effects on the petrochemical industry in this area analyzed. The results showed that urban planning had obvious effects on the air temperature in all four seasons. After the planning, the air temperature in spring mostly showed decrease, with the largest decrement of 0.6 ℃ at 1:00 pm, and the air temperature in winter, summer, and autumn showed a pattern of apparent decrease at daytime and the largest increase at night. The variation range of the air temperature was larger in winter than in summer and autumn. Urban planning had obvious effects on the enhancement of wind speed in winter, spring, and autumn, with the amplitude of 0.6 m·s-1, 0.4 m·s-1, and 0.6 m·s-1, respectively. The wind speed in summer after urban planning only had a weak enhancement (0.2 m·s-1). The variation of air temperature and the enhancement of wind speed would benefit the petrochemical industry in this area, because the temperature decrease at daytime, especially in summer, would increase the human comfort and reduce the risks of petrochemical industry, and the enhancement of wind speed would be favorable to the diffusion of pollutants. Overall, urban planning made the local climatic environmental elements have a great change, which would be beneficial to the production of petrochemical industry.

Key words: region, paddy field, reactive N loss, N application rate, field management measure, yield, partial factor productivity.