Climate Change
Vulnerability in Jakarta
Dr. Armi Susandi, MT.
Bandung Institute of
Technology
OUTLINE
Background
Objective
Basic Concept
Data and Methodology
Result
Analysis
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
Objective
Building model to make map of vulnerable
index to climate change impacts in Jakarta.
Performing analysis regarding to Jakarta
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
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.
+
-+
+
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
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
Rainfall Variable
Subsidence Variable
Land-use
Change Variable
Rivers Constant
Population
Distribution Variable Sea Level
Rise
Variable
Projection of
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
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
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
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
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
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
201
0
Tanjung Priok Cilincing
North
201
5
Pademangan Tanjung
Priok Koja
Cilincing
North
202
0
Pademangan Tanjung
Priok Koja
Cilincing
North
202
5
Penjaringan Pademangan
Tanjung Priok Koja
Cilincing
North
203
0
Penjaringan Pademangan
Tanjung Priok Koja
Cilincing
Soekarno-Hatta Airport
North
203
5
Penjaringan Pademangan
Tanjung Priok Koja
Cilincing
Soekarno-Hatta Airport
North
Subsidence in 1982 - 1991
Subsidence in 1991 - 1997
Population in Jakarta (1972)
AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH
Population in Jakarta (1983)
AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH
Population in Jakarta (1993)
AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH
Population in Jakarta (1998)
AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH
Population in Jakarta (2002)
AIR/SUNGAI FASILITAS UMUM LAHAN TERBUKA PEMUKIMAN RAWA, TAMBAK, LAUT SAWAH
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
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
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
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
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
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
Map of Rivers in Jakarta
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
Result:
“Map of Climate Change
Vulnerability in Jakarta”
Climate Change Vulnerability in Southeast Asia
Flood
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 %
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
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 %
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)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 %
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)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)
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
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
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
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
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
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:
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:
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:
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
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 &
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
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 distanceDevelopment:
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:
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 distanceCombination From North and South
Area
Development:
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 distanceCombination From North and South
Area
Development:
1. Water Resource
2. Water Collector
3. Polder
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 distanceCombination From North and South
Area
Development:
1. Water Resource
2. Water Collector
3. Polder
4. Networking Pipes
5. More Pipes &
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 distanceCombination From North and South
Area
Development:
1. Water Resource
2. Water Collector
3. Polder
THANK YOU!
armi@geoph.itb.ac.id