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屋顶绿化对城市降温效应的模拟分析——以南京市为例

沈滢洁 王成刚 曹乐 郜海阳 王咏薇

气象2017,Vol.43Issue(5):610-619,10.
气象2017,Vol.43Issue(5):610-619,10.DOI:10.7519/j.issn.1000-0526.2017.05.010

屋顶绿化对城市降温效应的模拟分析——以南京市为例

A Case Study of Simulated Cooling Effect of Roof Greening in Urban Area of Nanjing

沈滢洁 1王成刚 1曹乐 1郜海阳 1王咏薇1

作者信息

  • 1. 南京信息工程大学大气物理学院,南京210044
  • 折叠

摘要

Abstract

In the present study,the WRF model with the incorporation of a Single Layer Urban Canopy Model is used to investigate the cooling effect of roof greening in Nanjing.Sensitivity tests of albedo,heat capacity,thermal conductivity and humidity are conducted for the time period from 28 to 29 July 2013.The simulation results show that:(1) the albedo of roofs is reduced to approximately 0.15 after greening,which is smaller than the albedo values of the roofs built with cement or other reflective materials.This result may lead to the increase of city temperature by 0.2℃ in daytime.(2) The heat capacity of roofs increases significantly after greening,leading to the decline of temperature by 0.33℃ in daytime while the temperature at night increases by about 0.21℃.(3) Due to the existence of vegetation and soil layer,the thermal conductivity of roofs is weakened.As a result,the net radiation on roofs is more easily converted to sensible heat rather than being transferred downwards,warming the overlying ambient air.(4) The change of soil humidity enhances the release of latent heat from the net radiation on roofs.Therefore,temperatures in daytime and nighttime are reduced by about 1.23℃ and 0.44℃,respectively.In addition,the statistical analysis of the simulation results for different seasons shows that the reduction of temperature by roof greening is the strongest in summer,which can reach 1.22℃.In comparison,the temperature decreases by about 0.96℃ in spring,0.75℃ in autumn and only 0.38℃ in winter.

关键词

城市热岛/屋顶绿化/城市下垫面/数值模拟

Key words

urban heat island/roof greening/city underlying surface/numerical simulation

分类

天文与地球科学

引用本文复制引用

沈滢洁,王成刚,曹乐,郜海阳,王咏薇..屋顶绿化对城市降温效应的模拟分析——以南京市为例[J].气象,2017,43(5):610-619,10.

基金项目

中国气象局气候变化专项(CCSF201618)、教育部留学回国人员科研启动基金和国家自然科学基金项目(41675016)共同资助 (CCSF201618)

气象

OA北大核心CSCDCSTPCD

1000-0526

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