during Summer and Winter Dr. TONG Shanshan Research Fellow, - PowerPoint PPT Presentation

Croucher Advanced Study Institute 2015-2016 Temperature Mapping for an Urban Area in Northern China during Summer and Winter Dr. TONG Shanshan Research Fellow, bdgtong@nus.edu.sg Department of Building, National University of Singapore

Contents Introduction Field measurement GIS analysis of urban morphology Temperature Mapping 1

Introduction Air temperature prediction “ Air temperature of a point at a certain height level is the function of the local climate characteristics , which deviates according to the surrounding urban morphology characteristics (building, pavement and greenery) at a certain radius ” . Building trees Location: 39 ° 08′N 117 ° 11′E Tianjin Urban area: 7 km 2 turfing 50m Hong Kong shrub Roads Singapore 2

Field measurement a. Weather data Temp./RH sensor • 46 weather stations covering Wind speed/direction different morphologies are selected sensor • Sensors are installed at 2-m height Solar panel • Data is recorded every 5 mins and continuously for 1 whole year Data logger b. Hourly meteorological data as reference • Air temperature, solar radiation, RH, precipitation, wind speed and direction are collected by a nearby meteorological station 3

GIS analysis of urban morphology a. 3D model is built up based on master plan Layers • buildings • roads • greenery • river… 2-D Master Plan 3-D Model in SketchUp 4

GIS analysis of urban morphology b. Urban morphology predictors are obtained based on GIS analysis, including • PAVE: percentage of pavement area over a surface area • GnPR: green plot ratio • SVF: sky view factor • HDBG: average height to building area ratio • WALL: total wall surface area • Water: percentage of water area over a surface area 5

Temperature Mapping Model development and calibration for daily temperature a. prediction  T f ( T , Solar , Wind , RH , PAVE , SVF , HBDG , WALL , GnPR , Water ...) max ref  T f ( T , Solar , Wind , RH , PAVE , SVF , HBDG , WALL , GnPR , Water ...) min ref T avg  f ( T , Solar , Wind , RH , PAVE , SVF , HBDG , WALL , GnPR , Water ...) ref Temp at weather Meteorological station Morphology predictors based on GIS data station weather data b. Temperature mapping for both summer and winter scenarios Summer Winter Temperature (  C) 25.08 -2.59 Relative humidity (%) 75.94 59.27 Wind speed (m/s) 3.09 3.22 Prevailing wind SE NW 6

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