a score system study for land-use planning 土地利用規劃之評分系統研究

Post on 11-Jan-2016

25 Views

Category:

Documents

0 Downloads

Preview:

Click to see full reader

DESCRIPTION

A score system study for land-use planning 土地利用規劃之評分系統研究. Presenter : Song-Yi Yang Adviser : Louis L. Tsai Date : 2010/10/07. Outline. Introduction Objectives Literatures Reviews Methods Preliminary Results Conclusion Future Works. Introduction. - PowerPoint PPT Presentation

TRANSCRIPT

A score system study for land-use planning土地利用規劃之評分系統研究

Presenter : Song-Yi YangAdviser : Louis L. Tsai

Date : 2010/10/07

1

Outline

IntroductionObjectivesLiteratures ReviewsMethodsPreliminary ResultsConclusionFuture Works

2

Introduction

Environmental Impact Assessment (EIA) System

( 行政院環保署 )

Barrett et al. (2007)3

Introduction

Leopold Matrix System (Leopold, 1971)

Environmental / Social Conditions

Description

(Ai) =1~10 , (Ij) =1~10

Actions / Factors Magnitude (Ai)

Importance (Ij)

( ) i 1 ~ 1 ~i

j

Agrade index n m

I j,

Ai

Ij

4

Objectives

To establish a score system for environmental impact assessment by using Leopold matrix.

To evaluate local pollutant potential of urban and industrial area.

5

Study Area

6

Literatures Review

Environmental impact assessment (EIA) EIA factors includes natural 、 social environment 、 pollutions 、

ecology 、 economic 、 culture…, it considered by effect area Tzilivakis et al. (2005) ; Larsen et al. (2010) ; Munier (2004).

EIA Methods in Cheng (2006) mentioned that Leopold matrix can show the effect for specific factors. (Whitlatch, 1976)

Da-tan of Guan-yin area and Jong-fu of Lu-ju area were polluted by cadmium contaminant by chemical factories (Cheng et al., 1994); it could move away by river flow (Hsu and Lo, 2000) .

7

MethodsData Collection

Area Separation

EIA Factors

Statistical Analysis Preliminary EIA

Matrix

Weighting of Factors

Factor Grading

EIA Matrix and Score Area Grades

Results and Discussions

Conclusions and Future works

8

Methods

CF (Contamination Factors)We can assess heavy metal pollutions by pollution Index

such as CF (Contamination Factors)Wang et al. (2008) ; Wu and Cao (2010)

[ ]

[ ]avg

bg

CCF

C

Contamination Factor (CF)

Description

CF<1 Low

1<CF<3 Moderate

3<CF<6 Considerable

CF>6 Very High9

Methods PSI (Pollutant Standard Index)

PSI

PM10 SO2 CO O3 NO2

Unit : μg/m3 Unit :ppb

Unit : ppm Unit : ppb Unit : ppb

Good 50 50 30 4.5 60 -

Moderate 100 150 140 9 120 -

Unhealthful 200 300 350 15 200 600EPA (Air Pollution Control Act )

( )Hi Lop Lo Lo

Hi Lo

I IPSI C BP I

BP BP

Cp: Concentration of pollutantp

BPHi: Breakpoint concentration ≧ Cp , IHi: PSI corresponding to BPHi

BPLo: Breakpoint concentration C≦ p , ILo: PSI corresponding to BPLo 10

Methods

RPI (River Pollutant Index)

Unpolluted Light Medium High

DO (mg/L) >6.5 6.5~4.4 4.5~2.0 <2.0

BOD5 (mg/L) <3.0 3.0~4.9 5.0~15.0 >15

SS (mg/L) <20 20~49 50~100 >100

NH3-N (mg/L) <0.5 0.5~0.99 1.0~3.0 >3.0

Score 1 3 6 10

RPI <2.0 2.1~3.0 3.1~6.0 >6.0

EPA (Water Pollution Control Act )

4

4

ii

PRPI

11

Waste disposal (t/day person)‧ Data of ESI for Taipei-city including

waste outputs. (Lee et al., 2002)

Methods

Total Waste urban populationC

day county population

12

Preliminary Results

0102030405060708090

Jan-07

Feb-07

Mar-07

Apr-07

May-07

Jun-07

Jul-07 Aug-07

Sep-07

Oct-07

Nov-07

Dec-07

PSI

新興

觀音

蘆竹

大園

桃園

湖口

Monthly coastal air survey station PSI distribution13

0102030405060708090

Jan-08

Feb-08

Mar-08

Apr-08

May-08

Jun-08

Jul-08

Aug-08

Sep-08

Oct-08

Nov-08

Dec-08

PSI

新興

觀音

蘆竹

大園

桃園

湖口0

102030405060708090

Jan-09

Feb-09

Mar-09

Apr-09

May-09

Jun-09

Jul-09

Aug-09

Sep-09

Oct-09

Nov-09

Dec-09

PSI

新興

觀音

蘆竹

大園

桃園

湖口

Primary Results

River RPI Changed by Season14

Preliminary Results

River CF Changed by year 15

Preliminary Results

Urban Area

2007 Waste Disposal (t/day ‧

person)

2008 Waste Disposal (t/day ‧

person)

2009 Waste Disposal (t/day ‧

person)

Da-Yuan Guo-Lin 0.077 0.067 0.046

Lu-Ju Da-Ju 0.065 0.056 0.058

Da-Yuan City 0.105 0.090 0.090

Guan-Yin Tsou-Ta 0.054 0.065 0.067

Guan-Yin Shin-Po 0.047 0.047 0.048

Guan-Yin City 0.030 0.029 0.029

Shin-Wu City 0.078 0.073 0.069

Yang-Mei Fu-Gan 0.040 0.035 0.033

Annual waste collected by urban plan area

16

Preliminary Results

MatrixFactors Actions & Points

River

CF CF<2 2<CF<3 3<CF<4 4<CF<5 5<CF<6

6<CF<10

CF>10

10 9 7 5 4 3 1

RPIRPI<2 2<RPI<3

3<RPI< 3.5

3.5<RPI<4

4<RPI< 4.5

4.5<RPI<5

5<RPI<6

RPI>6

10 9 7 6 5 4 2 1

Air PSIPSI<40

40<PSI<45

46<PSI<50

51<PSI<55

56<PSI<60

61<PSI<70

71<PSI<80

PSI> 80

10 9 8 6 4 3 2 1

WasteWaste

Disposal (t/ day‧person)

C<0.030.03<C<0.05

C<0.07 C<0.09 C>0.09

8 6 5 4 2

17

0

5

10

15

20

25

大園果林

蘆竹鄉大竹

大園都市計畫區

觀音鄉草漯區

觀音鄉新坡區

觀音都市計畫區

新屋都市計畫區

楊梅富岡區

CF(Total Metal)

Waste disposal

RPI

PSI

Preliminary Results

18

Conclusion

CF, PSI, RPI and Waste disposal can be combined to assess local environmental impact.

Tsou-Ta urban area exhibits higher environmental impact; whereas Fu-gang urban area exhibits lower environmental impact.

19

Future Works

Finding more factors for the matrix in this study.

Using statistical analysis to infer weighting of factors.

Plotting time-space distribution graph and evaluate pollutant potential for urban and industrial areas.

20

Thanks for your attention!!

21

top related