Numerical Analysis about Urban Climate Change by Urbanization in Shanghai

Similar documents
DYNAMIC CHANGE OF LAND USE STRUCTURE IN HAIKOU BY REMOTE SENSING AND GIS *

Supporting Information

LIFE CYCLE ENVIRONMENTAL IMPACTS ASSESSMENT FOR RESIDENTIAL BUILDINGS IN CHINA

An Analytical Model for Atmospheric Distribution. and Transport of Pollutants from Area Source

Heat Transfer Model of Casted Heat Exchanger in Summer Condition Yu Jie 1,2,a, Ni Weichen 1,2,b and You Shijun 3,c

Numerical Flow Analysis of an Axial Flow Pump

Calculation and Prediction of Energy Consumption for Highway Transportation

Spatial difference of regional carbon emissions in China

MODELING OF RIVER ICE BREAKUP DATE AND THICKNESS IN THE LENA RIVER

6.4 PASSIVE TRACER DISPERSION OVER A REGULAR ARRAY OF CUBES USING CFD SIMULATIONS

EVALUATION METHODOLOGY OF BUS RAPID TRANSIT (BRT) OPERATION

Extended Abstract for WISE 2005: Workshop on Information Systems and Economics

Driving Factors of SO 2 Emissions in 13 Cities, Jiangsu, China

THE HEAT AND FLUID FLOW ANALYSIS FOR WATER HEATER

THE STUDY OF GLOBAL LAND SUITABILITY EVALUATION: A CASE OF POTENTIAL PRODUCTIVITY ESTIMATION FOR WHEAT

Evaluating The Performance Of Refrigerant Flow Distributors

COMPARISON ANALYSIS AMONG DIFFERENT CALCULATION METHODS FOR THE STATIC STABILITY EVALUATION OF TAILING DAM

An Analysis on Stability of Competitive Contractual Strategic Alliance Based on the Modified Lotka-Voterra Model

RECEIVING WATER HYDRAULICS ASSIGNMENT 2

A Two-Echelon Inventory Model for Single-Vender and Multi-Buyer System Through Common Replenishment Epochs

Elastic Lateral Features of a New Glass Fiber Reinforced Gypsum Wall

Experiments with Protocols for Service Negotiation

Research on the Process of Runoff and Sediment-production in the Shunjiagou Small Watershed by Applying Automatic Measurement System

Beijing energy consumption carbon emission characteristics and cause analysis

Building Energy Consumption and CO 2 Emissions in China

Experimental Validation of a Suspension Rig for Analyzing Road-induced Noise

LIFE CYCLE GREEN COST ASSESSMENT METHOD FOR GREEN BUILDING DESIGN. Lijing Gu1, Daojin Gu1, Borong Lin1, Mingxing Huang2, Jiazi Gai3, Yingxin Zhu1

Potentials for energy savings and long term energy demands for Croatian households sector Pukšec, Tomislav ; Mathiesen, Brian Vad; Duic, Neven

Optimal Issuing Policies for Substitutable Fresh Agricultural Products under Equal Ordering Policy

Construction of Control Chart Based on Six Sigma Initiatives for Regression

FIN DESIGN FOR FIN-AND-TUBE HEAT EXCHANGER WITH MICROGROOVE SMALL DIAMETER TUBES FOR AIR CONDITIONER

Simulation of Steady-State and Dynamic Behaviour of a Plate Heat Exchanger

Thermodynamic Analysis of Compressed Air Energy Storage under. Various Ambient Temperature

Volume 30, Issue 4. Who likes circus animals?

1 Basic concepts for quantitative policy analysis

MECeANfCAi ANAiYSfS clo efstlofcai MASlNoY taiis SToENdTeENEa BY oefnclocea ClNCoETE iayeo ANa STEEi coames

The ranks of Indonesian and Japanese industrial sectors: A further study

Evaluating the statistical power of goodness-of-fit tests for health and medicine survey data

RULEBOOK on the manner of determining environmental flow of surface water

A Numerical Study on the Estimation of Heat Release Rate Based on the Flow Field through the Doorway

A SIMULATION STUDY OF QUALITY INDEX IN MACHINE-COMPONF~T GROUPING

Consumption capability analysis for Micro-blog users based on data mining

Modeling and Simulation for a Fossil Power Plant

Application of Ant colony Algorithm in Cloud Resource Scheduling Based on Three Constraint Conditions

Multi-Modular Coordination Control of HTR-PM600 Plant

Regression model for heat consumption monitoring and forecasting

Fast Algorithm for Prediction of Airfoil Anti-icing Heat Load *

Study on Solar-Assisted Cascade Refrigeration System

WREF 2012 THE USE OF PCM FOR AMELIORATING THERMAL PERFORMANCE OF VEHICLE CABIN. Presenter: N. V. Lan

Modeling of joint water-supply scheduling with multi-source in Beijing under uncertain conditions

Prediction algorithm for users Retweet Times

NBER WORKING PAPER SERIES HOW LARGE ARE THE IMPACTS OF CARBON MOTIVATED BORDER TAX ADJUSTMENTS. Yan Dong John Whalley

The study on the changing characteristics and their Countermeasures for China's carbon emissions in

A QUANTITATIVE APPROACH FOR CUSTOMER SATISFACTION MEASUREMENT OF REAL ESTATE DEVELOPMENT ENTERPRISE

A Study on the Reduction Strategies of Stack Effect in High-rise Residential Buildings

A Scenario-Based Objective Function for an M/M/K Queuing Model with Priority (A Case Study in the Gear Box Production Factory)

of 10 mmol O 2 /g-dry wt-h are to be cultured. The critical

OPTIMAL PHASE CHANGE TEMPERATURE FOR BCHP SYSTEM WITH PCM-TES BASED ON ENERGY STORAGE EFFECTIVENESS

Study on the Coupling Development between Urbanization and Ecosystem-- The Comparative Analysis Based on Guizhou, Yunnan, Hunan and Zhejiang Province

PASSIVE VIBRATION-CONTROL CONCEPT FOR TRUSS FRAME STRUCTURES

MODULE - 8 LECTURE NOTES 6 URBAN STORMWATER MANAGEMENT

International Trade and California Employment: Some Statistical Tests

AIR POLLUTION BY EMISSIONS OF HEAT SOURCES

A method for delineating restricted hazard areas due to debris flows

Development and production of an Aggregated SPPI. Final Technical Implementation Report

Hourly electricity consumption by households and the peak demand Frits Møller Andersen

Growth Pattern of China Cities since 1950* 1. United Nations Population Division. 2 China People s Public Security University

Analysis Online Shopping Behavior of Consumer Using Decision Tree Leiyue Yao 1, a, Jianying Xiong 2,b

Zhenhong Wang, 1 Yi Liu, 1,2 Guoxin Zhang, 1,2 and Shuping Yu 1,3. 1. Introduction

The research on the fairness of carbon emissions for China s energy based on GIS

An Empirical Study about the Marketization Degree of Labor Market from the Perspective of Wage Determination Mechanism

Analysis of Soil Pollution Degree and Causes Based on Mathematical Model

A Longer Tail?: Estimating The Shape of Amazon s Sales Distribution Curve in Erik Brynjolfsson, Yu (Jeffrey) Hu, Michael D.

FATIGUE SAFETY MONITORING AND ASSESSMENT OF SHORT AND MEDIUM SPAN CONCRETE GIRDER BRIDGES

Characteristics of Cascade and C3MR Cycle on Natural Gas Liquefaction Process

Characteristics of Cascade and C3MR Cycle on Natural Gas Liquefaction Process

Mathematical models of air-cooled condensers for thermoelectric units

Assignment II Design of Wastewater Discharge from the City of Gothenburg. Design of a Wastewater Discharge from the City of Gothenburg

EXPERIMENTAL DETERMINATION OF THERMAL CHARACTERISTICS OF MUNICIPAL SOLID WASTE

Empirical Study on Effect of Industrial Structure Change on Regional Economic Growth of Beijing-Tianjin-Hebei Metropolitan Region

Colour in artificial lighting

Wind power potential and characteristic analysis of Chiang Mai, Thailand

3D CFD Simulation of Combustion in a 150 MWe Circulating Fluidized Bed Boiler

Selected Economic Aspects of Water Quality Trading

Indicators of carbon emission intensity from commercial energy use in India

Introduction : Urban Heat Island

emissions in the Indonesian manufacturing sector Rislima F. Sitompul and Anthony D. Owen

Development trajectory of energy consumption and carbon emissions in developing countries

ScienceDirect. Influence of outdoor air conditions on the air source heat pumps performance. Pamela Vocale a, *, Gian Luca Morini b, Marco Spiga a

EVALUATING THE PERFORMANCE OF SUPPLY CHAIN SIMULATIONS WITH TRADEOFFS BETWEEN MULITPLE OBJECTIVES. Pattita Suwanruji S. T. Enns

Ahmed E. Aljuaidi David E. Rosenbergg Jagath J. Kaluarachchi. AWRA Climate Change Conference Anchorage, Alaska

Thermodynamics Analysis of Cascade Reserviors Filling Process of Natural Gas Vehicle Cylinders

The Spatial-Temporal Distribution of the Coupling between Urbanization and Farmland Resources in the Mainland of China

A Numerical Study on Metallic Powder Flow in Coaxial Laser Cladding

Fiber length of pulp and paper by automated optical analyzer using polarized light

A Co-Integration Analysis Between Electricity Consumption and Economic Development in Hebei Province

A STUDY ON PROPERTIES OF WATER SUBSTITUTE SOLID PHANTOM USING EGS CODE

WEB-BASED SIMULATION TOOL FOR COMPLIANCE WITH 2013 ENERGY EFFICIENCY STANDARD FOR COMMERCIAL BUILDINGS IN JAPAN

Analysis on the Regional Disparity in China and the Influential Factors

Using Multiple Index Comprehensive Method to Assess Urban Rainstorm Disasters Risk in Jiangsu Province, China

Transcription:

Numercal Analyss about Urban Clmate Change by Urbanzaton n Shangha Hafeng L 1, Wejun Gao 2 and Tosho Ojma 3 1 Research Assocate, School of Scence and Engneerng, Waseda Unversty, Japan 2 Assocate Professor, Faculty of Envronment Engneerng, The Unversty of Ktakyushu, Japan 3 Professor, Department of Archtecture, School of Scence and Engneerng, Waseda Unversty, Japan Abstract After the ndustral revoluton, megalopols beyond the populaton of 10,000,000 appears one after another, and makes bg mpact to the earth envronment. The urbanzaton n Asan developng countres s tremendous. Especally the rapd urban sprawl and the change of land use are brngng urban clmate changng such as heat sland phenomenon n Chna Shangha n recent years. To evaluate heat sland phenomenon n Shangha by urbanzaton, ths study constructed a land use database usng land use map of Shangha. Usng a numercal analyss method, the nfluence on urban clmate wth the urban sprawl and the change of land use of Shangha was evaluated from 1845 to 1995. As a result, analyzed the nfluence on the urban clmate affect by the urbanzaton of 25kmx19km range, the maxmum temperature and average temperature rose by about 1.7 because of the rapd sprawl of urban area and the changes of land use for ths 150 years n Shangha. Keywords: Shangha; urban clmate; urbanzaton; heat sland; numercal analyss 1. Introducton After the ndustral revoluton, megalopols beyond the populaton of 10 mllon appears one after another, and makes bg mpact to the earth envronment. The urbanzaton n Asan developng countres s tremendous. Especally the rapd urban sprawl and the change of land use are brngng urban clmate changng such as heat sland phenomenon n Shangha, Chna n recent years. Now, the heat sland phenomenon of Shangha s collectng a lot of attenton, and a large-scale temperature observaton s gong ahead. To evaluate heat sland phenomenon n Shangha by urbanzaton, ths study construct a land use database usng land use map of Shangha. Usng a numercal analyss method, the nfluence on urban clmate wth the urban sprawl and the change of land use of Shangha was evaluated from 1845 to 1995. 2. The Urbanzaton n Shangha After the ndustral revoluton, accompanyng the rapd growth of urban populaton n an earth scale, varous urban problems were brought about n the metropols n the 20th century. In London, the growth of metropols was controlled by the greenbelt polcy. But n Japan, metropolses lke Tokyo were formed wth hgh economc Contact Author: Hafeng L, Research Assocate, School of Scence and Engneerng, Waseda Unversty 3-4-1 Okubo, Shnjuku-ku, Tokyo, 169-8555 Japan Tel: +81-3-5286-3281 Fax: +81-3-3207-0254 e-mal: hafeng@ojma.arch.waseda.ac.jp (Receved May 8, 2002; accepted August 19, 2002) growth postwar. From the second half of the 20th century, urban populaton ncreases explosvely n Asan developng countres at the speed that has not been experenced n advanced naton. Many Asan metropolses are faced wth very serous envronmental problems. Fgure 1 shows the urban area changes n 50km range of fve megalopolses n the past 100 years. The urban area of New York, London, and Tokyo has already been over the range of 50km, but the Asan developng countres, such as Shangha and Bangkok, kept n the range of 30km n the 1990's. When seen from the urban zone and the populaton of central area of each metropols, Asan developng countres, such as Shangha and Bangkok, had already reached the almost same level as London, New York, and Tokyo (Fgure 2) 1). Compared wth the metropols of advanced countres, the metropolses of Asan developng countres are holdng large populaton n the small urban area can be consdered. Shangha was establshed n 1292, and the total area was about 2,000km 2. In1997, t has already exceeded 6,341km 2, and the urban area and the constructon dstrct area have reached to 2,057km 2 and 412km 2. The changes of the urban area and the populaton n Shangha are shown n Fgure 3 2). Compared wth 1845, the urban area ncreased more than 10 tmes and the populaton also to about 40 tmes for the 150 years. 3. Constructon of Urban Thermal Envronment Evaluaton Database by Usng Land Use Map 3.1 Outlne of Thermal Envronment Evaluaton Database Constructon System In Japan, many dgtal databases, such as remote Journal of Asan Archtecture and Buldng Engneerng/November 2002/148 143

1900 s New York London 1990 s Megalopols (Tokyo+Satama+et al.) Shangha Bangkok Fg.1. Comparson of Urban Area Changes n the 50km s Area of Megalopolses (the nner sde s the rad of 10km outsde s the rad of 20km) Shangha London New York Megalopols (Tokyo+Satama+et al.) urban area (km 2 ) urban zone central area 0 5 10 15 20 25 30 35 mllon Fg.2. Comparson of Megalopolses Populaton n 1990s 450 12 400 urban populaton 10 350 300 urban area 8 250 200 6 150 4 100 50 2 0 0 1830 1850 1870 1890 1910 1930 1950 1970 1990 2010 year urban populaton (mllon) Fg.3. The Change of Urban Area and Populaton n Shangha sensng and GIS data, are used well n urban thermal envronmental evaluate smulaton. However, n Asan developng countres, there are few such databases and the constructon of database requred for evaluaton smulaton takes much tme. Snce urban land use maps are easy to come to hand n Asan ctes, ths study created a database constructon system for evaluatng urban thermal envronment by usng land use map (Fgure 4) 3). The system flow s shown n Fgure 4. Frst, resoluton s set up and land use maps can be downloaded from scanner to personal computer. It s panted over wth the color decded as every classfcaton of each type of land use such as green etc., and the colors wll be corrected to enhance color dstncton precson. Then the maps can be taken n the specal software (color of pxels can be changed nto numbers), and the mesh data based on the color numbers of pxels are outputted to a text fle. Furthermore, mesh sze necessary for the thermal envronmental evaluate smulaton s set up, and by the mesh converson program, land use database for performng thermal envronment evaluaton can be created automatcally. Ths system can create the mesh data of varous mesh szes by the settlement of the take-n resoluton of scanner. 3.2 Create the Land Use Database of Shangha Usng the database constructon system, the land use database for analyzng urban temperature by usng land use map of Shangha from 1845 to 1995 was created The layer attrbute of land use mesh data s set up wth water, green, road, nakedness area, and buldng. The mesh sze s set up wth 500m, and the evaluaton area s 25kmx19km range. 4. Thermal Envronmental Smulaton 4.1 Thermal Envronment Evaluaton Smulaton Model 4) In order to observe urban heat sland phenomenon, a three dmensons model has been used n ths study. The conservaton equaton for momentum, mass, and energy can be generally descrbed as below, Energy Formula dt T Q D dt x x C p 144 JAABE vol.1 no.2 November 2002 Hafeng L

Land use map setup of takng-n resoluton of the land use map Scanner take nto a personal computer Personal computer rasng color dscernment accuracy Color compensaton creatng mesh-data automatcally by land use color Mesh-data of land use automatc creaton Mesh converson program setup of the output mesh sze setup of the color recognton number by land use Urban thermal envronmental smulaton evaluaton change the color of pxels nto numbers Fg.4. Thermal Envronmental Evaluaton Database Constructon System by Usng Land Use Map Contnuaton Formula du 0 dx Momentum Formula du P U D g dt x x x Where, T : ar temperature ( ) U: (U, V, W): average wnd veloctes at X, Y, Z drectons (m/s) D (DX, DY, DZ): dsperson coeffcents of X, Y, Z drectons (m 2 /s) Q: nternal heat source (kw/m 3 ) P: ar pressure (N/m 2 ) ρ: the densty of the ar (kg/m 3 ) C p: ar specfc heat (kj/kg ): g: ar gravty (m/s 2 ) In ths model, the followng assumpton has been used to smple the above equaton as below, 1) Ar flow s unform wth a constant ar gravty and thermal capacty. 2) Turbulent eddy dffusve for energy and momentum are equvalent. 3) The effect of thermal capacty of buldngs s neglected. 4) The ar flow s dvded nto two parts. One s the general current and the natural current defned as follows, U U u P P p 5) The vortctes are defned as follows, U U j x j x 6) The natural current flow (a, b) s generally smaller than the general current flow (A, B). Therefore, the follow assumpton can be assumed. AB ( A a)( B b) AB ab Ab ab AB ab Ab The calculated area has been selected n ths study shown n fgure 5. Lx, Ly, Lz are the length of X, Y, Z drecton. The urban has been assumed to be contnuous. The boundary condton above the Z drecton has been assumed to the same clmate condton, whch s a general weather condton recorded n the weather staton, and the wnd pattern n Z drecton s stable where there s no turbulence. So the boundary condton can be descrbed by fgure 5. In the ground surface, the heat balance can be wrtten by the followng equaton, Q Q s cv Q rd Q vp Q cd Where Qs=solar radaton absorbed by the ground surface (kj/m 2 h) Qcv=convecton heat flow (kj/m 2 h) Qrd=long-wave radaton heat flow (kj/m 2 h) Qvp=evaporaton heat flow (kj/m 2 h) Qcd=heat conducton of the walls(kj/m 2 h) Although the ar temperature and wnd dstrbuton should be ganed through solvng the above equaton together wth the energy and momentum equaton, the JAABE vol.1 no.2 November 2002 Hafeng L 145

separate step has been appled that the surface temperature dstrbuton frstly s determned by assumng the ar temperature s known and then the ar temperature and wnd dstrbuton can be calculated usng the surface temperature dstrbuton. T y 0 T y L y Qs u y 0 u y L x v v y 0 y L x L z Z T y 0 u y 0 v y 0 w y 0 T x 0 u x 0 v x 0 w x 0 T z L z T a u z L z 0 v z L z 0 w z L z 0 Q artfcal heat release w y 0 w y L x T x 0 T x L x u x 0 u x L x v x 0 v x L x Y Fg.6. The Buldngs Densty Dstrbuton Map of Shangha w x 0 w x L x L x L y X Fg.5. Thermal Envronment Smulaton Model 4.2 Thermal Envronment Evaluaton of Shangha Frstly, a thermal envronment evaluaton of Shangha was performed to confrm the valdty of the system. Mesh sze s set up wth 500m, and the range of the area for evaluaton s 25kmX19km. In order to rase the accuracy of mesh data, the buldngs densty dstrbuton map (Fgure 6, to calculate the rate of buldngs) and the populaton densty dstrbuton map (Fgure 7, to calculate artfcal heat release) were also used except for the land use map of Shangha. Furthermore, the populaton mesh data, created from Fgure 7, multply the amount of Shangha 1 person per energy consumpton 5) to calculate the artfcal heat release. Smulaton was started from 13:00 n typcal summer day. The other ntal condtons are shown n Fgure 8. Fgure 9 showed the temperature dstrbuton by land use data only smulaton and Fgure.10 showed the temperature dstrbuton by land use + artfcal heat release smulaton. In heght of 1.5m above ground level, the maxmum temperature of 34.7 and 35.5 s shown respectvely. It s found that because there are few bg green lands, the cool sland s hard to form snce the bgger heat sland n the center of Shangha s beng formed. And, the coolng effect by the rver was confrmed, too. In Table 1, the case of only land use smulaton showed that the dfference between mnmum temperature and maxmum temperature s 3.1. But n the case of land use + artfcal heat release smulaton, the dfference went up to 3.8, and the Fg.7. The Populaton Densty Dstrbuton Map of Shangha ntal temperature temperature : 31 buldng: 47.5 road : 47.5 nakedness area : 47.5 green : 29.5 water : 26.4 Fg.8. The Intal Condtons of Smulaton temperature rse by artfcal heat release reaches 0.7. It s predcted that ncrease of the energy consumpton accompaned by the rapd economc development n Shangha from now on wll has bg nfluence on the urban temperature. In Shangha, there are many hgh temperature days of 35 or more n July and August, and the maxmum temperature dfference between the urban area and the suburbs reaches 4.8 n recent years. The smulaton 146 JAABE vol.1 no.2 November 2002 Hafeng L

result s close to t havng been observed. Table 1. Comparson of the Ar Temperature n 13:00 Land use only Land use + artfcal smulaton heat release smulaton Max value of temperature( ) 34.7 35.5 Average value of temperature( ) 33.3 33.5 Mn value of temperature( ) 31.6 31.7 5. Numercal Analyss about Urban Clmate Change of Shangha by Urbanzaton By analyzng the nfluence on the urban clmate due to the urbanzaton, the central area of 25kmx19km range n 1845, 1911, 1978 and 1995 of Shangha was selected. The numercal smulaton result showed n Fgure 11. In 1845, the urban area s 38km 2, the average temperature and the maxmum temperature s 31.7 and 33.8. In 1995, the urban area expanded to about 400km 2, the average temperature and the maxmum temperature rose to 33.5 and 35.5. The maxmum temperature and average temperature of Shangha rose by about 1.7 compared wth 150 years ago. 31.6 31.7 34.7 Rver 35.5 Rver Rver Rver Fg.9. The Temperature Dstrbuton by Land Use Data Only Smulaton(1.5m heght above ground level) Fg.10. The Temperature Dstrbuton by Land Use + Artfcal Heat Release Smulaton(1.5m heght above ground level) the change of urban area n Shangha(25km 19km range) 1845 1911 1978 1995 33.8 34.2 34.8 35.5 31.0 35.5 the rse of urban temperature n Shangha(1.5m heght above ground level ) Fg.11. The Urban Clmate Changes Due to the Urbanzaton n Shangha JAABE vol.1 no.2 November 2002 Hafeng L 147

6. Concluson In ths study, a database constructon system for the thermal envronment evaluaton by usng urban land use map of Shangha was presented. Usng ths system, wthout the exstng dgtal mesh databases, we can also create mesh data from the urban land use map easly and apply to thermal envronment evaluaton. It expects greatly beng used for the thermal envronment evaluaton n Asan developng countres. By usng the land use map of 1845,1911,1978,1995 of Shangha, we analyzed the nfluence on the urban clmate affect by the urbanzaton of 25kmx19km range. As a result, the maxmum temperature and average temperature rose by about 1.7 because of the rapd expanson of urban area and the changes of land coverng for ths 150 years followng wth urbanzaton of Shangha. In ths tme, the nfluence on the urban clmate due to the sprawl of urban area and the changes of land use was studed. The analyss wth consderng the artfcal heat release of Shangha wll be studed by future study. Acknowledgments A part of ths study was supported by the Mtsubsh Foundaton Natural Scence Research Grant. References 1) Tokyo Metropols (1996) Tokyo Metropols Whte Paper. 2) Chna Natonal Statstcs Bureau (1996) Shangha Statstcal Yearbook. 3) HaFeng L, Wejun Gao and Tosho Ojma (2000) Research about urban thermal envronment evaluaton method by usng land use map--a case study n 50km bloc of metropols. Journal of Archtecture, Plannng and Envronmental Engneerng of AIJ, No. 530. 4) Hafeng L, Wejun Gao and Tosho Ojma (1999) Thermal envronment evaluaton of cty area by usng geographc nformaton system. Journal of Archtecture Plannng and Envronmental Engneerng of AIJ, No518, pp. 67-73. 5) Shangha Map Edt Commttee (1997) Collecton of Shangha Maps. 148 JAABE vol.1 no.2 November 2002 Hafeng L