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Climate Change

Vulnerability in Jakarta

Dr. Armi Susandi, MT.

Bandung Institute of

Technology

(2)

OUTLINE

Background

Objective

Basic Concept

Data and Methodology

Result

Analysis

(3)

Background

Global climate change causes many areas in

Indonesia to be vulnerable on its impacts.

Jakarta is projected to be a vulnerable

region with high magnitude as compared

with the other Indonesia regions.

Up to recent, disaster frequently occurred in

(4)

Objective

Building model to make map of vulnerable

index to climate change impacts in Jakarta.

Performing analysis regarding to Jakarta

(5)

Basic Concept

CLIMATE CHANGE

Including Variability

Human Interference

MITIGATION

Of Climate Change via GHG Sources and Sinks

Exposure Initial Impacts Of Effects Autonomous Adaptations Residual or Net Impacts Planned ADAPTATION

(6)

Vulnerability

‘The degree to which a system is susceptible to, or unable to cope with, adverse effect of climate change, including climate

variability and extremes’

Adaptive Capacity AC

‘The ability of a system to adjust to climate change to moderate potential damages, to take advantage of opportunities, or to cope

with consequences’ Potential Impacts PI

‘All impacts that may occur given a projected change in climate, without

considering adaptation’

Exposure E

‘The nature and degree to which a system is exposed to significant climatic

variations’

Sensitivity S

‘The degree to which a system is affected, either adversely or beneficially, by

climate-related stimuli.

+

-+

+

(7)

Data and Methodology

Data required:

1. Projection of rainfall, land use change, sea level

rise, subsidence, and distribution of

population.

2. Map of rivers, prosperity

Methodology:

1. Projection using Fast Fourier Transform and

Least Square Non-Linear on variable parameters.

2. Overlay and analysis using GIS software

(8)

Flow of the Work

Variable Parameters -1 Prediction Model

Model Output

Building Spatial Map

Overlay Variable Parameters -2

Variable Parameters -3

Variable Parameters -4

Variable Parameters -5

Vulnerability Index

Building map of climate change vulnerability Constant Parameters

-1

(9)

Rainfall Variable

Subsidence Variable

Land-use

Change Variable

Rivers Constant

Population

Distribution Variable Sea Level

Rise

Variable

(10)

Projection of

(11)

Projection of

Rainfall in

Jakarta

(Wet Months

2010

)

1 0 0 1 3 6 1 7 2 2 0 8 2 4 4 2 8 0 3 1 6 3 5 2 3 8 8 4 2 4 4 6 0 4 9 6 5 3 2 5 6 8 600 mm 0 100 200 300 400 500 600 700 800

(12)

Projection of

Rainfall in

Jakarta

(Wet Months

2015

)

1 0 0 1 3 6 1 7 2 2 0 8 2 4 4 2 8 0 3 1 6 3 5 2 3 8 8 4 2 4 4 6 0 4 9 6 5 3 2 5 6 8 600 mm 0 100 200 300 400 500 600 700 800

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035

(13)

Projection of

Rainfall in

Jakarta

(Wet Months

2020

)

1 0 0 1 3 6 1 7 2 2 0 8 2 4 4 2 8 0 3 1 6 3 5 2 3 8 8 4 2 4 4 6 0 4 9 6 5 3 2 5 6 8 600 mm 0 100 200 300 400 500 600 700 800

(14)

Projection of

Rainfall in

Jakarta

(Wet Months

2025

)

1 0 0 1 3 6 1 7 2 2 0 8 2 4 4 2 8 0 3 1 6 3 5 2 3 8 8 4 2 4 4 6 0 4 9 6 5 3 2 5 6 8 600 mm 0 100 200 300 400 500 600 700 800

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035

(15)

Projection of

Rainfall in

Jakarta

(Wet Months

2030

)

1 0 0 1 3 6 1 7 2 2 0 8 2 4 4 2 8 0 3 1 6 3 5 2 3 8 8 4 2 4 4 6 0 4 9 6 5 3 2 5 6 8 600 mm 0 100 200 300 400 500 600 700 800

(16)

Projection of

Rainfall in

Jakarta

(Wet Months

2035

)

1 0 0 1 3 6 1 7 2 2 0 8 2 4 4 2 8 0 3 1 6 3 5 2 3 8 8 4 2 4 4 6 0 4 9 6 5 3 2 5 6 8 600 mm 0 100 200 300 400 500 600 700 800

2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030 2031 2032 2033 2034 2035

(17)
(18)

201

0

Tanjung Priok Cilincing

North

(19)

201

5

Pademangan Tanjung

Priok Koja

Cilincing

North

(20)

202

0

Pademangan Tanjung

Priok Koja

Cilincing

North

(21)

202

5

Penjaringan Pademangan

Tanjung Priok Koja

Cilincing

North

(22)

203

0

Penjaringan Pademangan

Tanjung Priok Koja

Cilincing

Soekarno-Hatta Airport

North

(23)

203

5

Penjaringan Pademangan

Tanjung Priok Koja

Cilincing

Soekarno-Hatta Airport

North

(24)

Subsidence in 1982 - 1991

(25)

Subsidence in 1991 - 1997

(26)

Population in Jakarta (1972)

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(27)

Population in Jakarta (1983)

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(28)

Population in Jakarta (1993)

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(29)

Population in Jakarta (1998)

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(30)

Population in Jakarta (2002)

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(31)

Projection of Population in Jakarta

(

2010

)

Sum up of population: 8,981,200 people

Source: Bappenas, BPS,

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(32)

Sum up of population: 9,168,500 people

Projection of Population in Jakarta

(

2015

)

Source: Bappenas, BPS, UNPF, 2005

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(33)

Sum up of population: 9,262,600 people

Projection of Population in Jakarta

(

2020

)

Source: Bappenas, BPS,

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(34)

Sum up of population: 9,259,900 people

Projection of Population in Jakarta

(

2025

)

Source: Bappenas, BPS, UNPF, 2005

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(35)

Sum up of population: 9,533,550 people

Source: Bappenas, BPS,

Projection of Population in Jakarta

(

2030

)

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(36)

Projection of Population in Jakarta

(

2035

)

Sum up of population: 9,715,575 people

Source: Bappenas, BPS, UNPF, 2005

AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH

(37)

Map of Rivers in Jakarta

(38)

Map of Prosperity in Jakarta

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0%

Index of Prosperity

(39)

Result:

“Map of Climate Change

Vulnerability in Jakarta”

(40)

Climate Change Vulnerability in Southeast Asia

Flood

(41)

Map of Climate Change

Vulnerability in Jakarta

Index of Climate Change Vulnerability

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

Percentage of

Index Range:

0.0 – 0.2 = 50 %

0.2 – 0.4 = 20 %

0.4 – 0.6 = 30 %

0.6 – 0.8 = 0 %

(42)

Index of Climate Change Vulnerability

Map of Climate Change

Vulnerability in Jakarta

2015

(Susandi et. al, 2009)

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(43)

Map of Climate Change

Vulnerability in Jakarta

Index of Climate Change Vulnerability

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

Percentage of

Index Range:

0.0 – 0.2 = 0 %

0.2 – 0.4 = 20 %

0.4 – 0.6 = 40 %

0.6 – 0.8 = 40 %

(44)

Index of Climate Change Vulnerability

Map of Climate Change

Vulnerability in Jakarta

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

Percentage of

Index Range:

0.0 – 0.2 = 0 %

0.2 – 0.4 = 5 %

0.4 – 0.6 = 30 %

0.6 – 0.8 = 65 %

0.8 – 1.0 = 0 %

(Susandi et. al, 2009)
(45)

Index of Climate Change Vulnerability

Map of Climate Change

Vulnerability in Jakarta

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

Percentage of

Index Range:

0.0 – 0.2 = 0 %

0.2 – 0.4 = 0 %

0.4 – 0.6 = 10 %

0.6 – 0.8 = 70 %

(46)

Index of Climate Change Vulnerability

Map of Climate Change

Vulnerability in Jakarta

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

Percentage of

Index Range:

0.0 – 0.2 = 0 %

0.2 – 0.4 = 0 %

0.4 – 0.6 = 5 %

0.6 – 0.8 = 20 %

0.8 – 1.0 = 75 %

(Susandi et. al, 2009)
(47)
(48)

From North Area

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

(49)

Index of Climate Change Vulnerability

2015

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

From North Area

(50)

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

2020

From North Area

(51)

Index of Climate Change Vulnerability

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

2025

From North Area

(52)

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

2030

From North Area

(53)

Index of Climate Change Vulnerability

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

2035

From North Area

(54)

From South Area

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

2010

Development:

(55)

Index of Climate Change Vulnerability

2015

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

From South Area

Development:

(56)

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

2020

From South Area

Development:

(57)

Index of Climate Change Vulnerability

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

2025

From South Area

Development:

1. Water Resource

2. Water Collector

3. Polder

(58)

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

2030

From South Area

Development:

1. Water Resource

2. Water Collector

3. Polder

4. Networking Pipes

5. More Pipes &

(59)

Index of Climate Change Vulnerability

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

2035

From South Area

Development:

1. Water Resource

2. Water Collector

3. Polder

(60)

Combination From North and South

Area

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

2010

Mangrove 30 % of the distance

Development:

(61)

Index of Climate Change Vulnerability

2015

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

Mangrove 60 % of the distance

Combination From North and South

Area

Development:

(62)

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

2020

Mangrove 100 % of the distance

Combination From North and South

Area

Development:

(63)

Index of Climate Change Vulnerability

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

2025

Sea Wall 30 % of the distance

Combination From North and South

Area

Development:

1. Water Resource

2. Water Collector

3. Polder

(64)

Index of Climate Change Vulnerability

0 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

(Susandi et. al, 2009)

2030

Sea Wall 60 % of the distance

Combination From North and South

Area

Development:

1. Water Resource

2. Water Collector

3. Polder

4. Networking Pipes

5. More Pipes &

(65)

Index of Climate Change Vulnerability

0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9

1

2035

Sea Wall 100 % of the distance

Combination From North and South

Area

Development:

1. Water Resource

2. Water Collector

3. Polder

(66)

THANK YOU!

armi@geoph.itb.ac.id

(67)

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