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

• Dr. TONG Shanshan

Research Fellow, bdgtong@nus.edu.sg

Department of Building, National University of Singapore

Temperature Mapping for an Urban Area in Northern China

during Summer and Winter

Croucher Advanced Study Institute 2015-2016

Introduction Field measurement GIS analysis of urban morphology Temperature Mapping

Contents

1

“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”.

Introduction

Air temperature prediction

2

50m

trees shrub turfing Building Roads Singapore Hong Kong Tianjin Location: 39°08′N 117°11′E Urban area: 7 km2

• 46 weather stations covering

different morphologies are selected

• Sensors are installed at 2-m height
• Data is recorded every 5 mins and

continuously for 1 whole year

• a. Weather data

3

Field measurement

b. Hourly meteorological data as reference

• Air temperature, solar radiation, RH, precipitation, wind speed and

direction are collected by a nearby meteorological station

Wind speed/direction sensor Solar panel Data logger Temp./RH sensor

a. 3D model is built up based on master plan

2-D Master Plan 3-D Model in SketchUp

4

GIS analysis of urban morphology

Layers

• buildings
• roads
• greenery
• river…

• 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

GIS analysis of urban morphology

...) , , , , , , , , , (

ref max

Water GnPR WALL HBDG SVF PAVE RH Wind Solar T f T  ...) , , , , , , , , , (

ref min

Water GnPR WALL HBDG SVF PAVE RH Wind Solar T f T  ...) , , , , , , , , , (

ref

Water GnPR WALL HBDG SVF PAVE RH Wind Solar T f Tavg 

Temp at weather station Meteorological station weather data Morphology predictors based on GIS data

a. Model development and calibration for daily temperature prediction

Temperature Mapping

• b. Temperature mapping for both summer

and winter scenarios

6

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

Thank you

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Contact us

International Conference on Countermeasure to Urban Heat Islands 2016

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