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DKI JAKARTA AIR QUALITY MONITORING AND CURRENT PRIORITIES BAQ CONFERENCE 2016 BUSAN, SOUTH KOREA 29 th August 2016

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DKI JAKARTA

AIR QUALITY MONITORING

AND

CURRENT PRIORITIES

BAQ CONFERENCE 2016

BUSAN, SOUTH KOREA

29th August 2016

JAKARTA Total Area : 661,52 km2

Total Population:

- Noon : app. 12 million people

- Evening : app. 10.5 million people

Population Density :

- Noon : 13.000 – 15.000 people/km2

In some areas : 20.000 – 30.000 people/km2

Industrial activity in DKI Jakarta = 1242 (2013)

(source: BPS)

Vehicles (source: BPS)

Type of Vehicle Total (2014)

Motorcycle 13.084.372

Car 3.266.009

Truck 673.661

Bus 362.066

Total 17.386.108

AIR POLLUTION SOURCES

Natural Sources:

- Volcanic Activities

- Forests fires, etc.

Anthropogenic Sources:

- Stationery sources:

1. Point sources

2. Area sources

- Mobile sources

ANTHROPOGENIC SOURCES

DKI JAKARTA’S

AIR QUALITY MONITORING

POLICY AND PROGRAMS

Policy:

Local Regulation No. 2 Year 2005 about Air Pollution Management

Program:

Bus Way and MRT (on progress)

Car Free Day

Emission Test

No Smoking Area

Supervisory of fixed emission sources

Odd-Even Car Plate Number

TARGET

1. Provide an integrated database consist of air quality data,

emission sources from industries, transportation and houses.

2. Provide online information system for public which provide the

latest updated data (locations and parameters).

3. Formulate policy environmental impact assessment, industrial

permit, transportation, etc.

4. Provide a simulation model to forecast air quality parameters in

small - large scale, short - long term period.

5. Provide real time air quality information at high risk location as a

base in managing the pollutant by related agencies.

6. Mapping pollutant load that classified as high and moderate which

include the industrial activities, transportation and settlement.

FRAMEWORK

LAW

ENFORCEMENTMEASUREMENT LABORATORY

MONITORING AND

EVALUATION DIVISION

SUPERVISION AND

CONTROLLING DIVISION

AIR QUALITY MONITORING

METHOD

1. Automatic Method/AQMS

2. Active Manual Method

3. Passive Sampler Method

4. Gent Sampler Method

5. Laser/ Grimm Analyser Method

1. AUTOMATIC METHOD (CONTINUOUS) 5 units of Fixed Station for ambient air in 5 areas of DKI Jakarta

Bundaran HI, Central Jakarta (Road Side)

Kepala Gading, North Jakarta (Settelement)

Lubang Buaya, East Jakarta (Settlement)

Jagakarsa, South Jakarta (Settlement)

Kebun Jeruk, West Jakarta (Settlement)

Mobile Station/ Car Free Day/ Industry/Riset

Parameters:

PM-10, SO2, NO2, NO, NOx, CO, OZON, THC (Central, South and West

Jakarta Fixed Station)

PM-10, SO2, NO2, NO, NOx, CO, OZON, THC, (Roadside)

PM-10, SO2, NO2, NO, NOx, CO, OZON, THC, NH3 and H2S ( Mobil Station)

Meteorological Data (Wind Speed, Wind direction, Temperature, Humidity,

Global Radiation)

AQMS NETWORKING SYSTEM

CENTRAL DATA

DISPLAY BOARD

BUNDERAN HI

(DKI1)

With Display

Data

KELAPA GADING

(DKI2)

JAGAKARSA

(DKI3)

LUBANG BUAYA

(DKI4)

KEBON JERUK

(DKI5)

MOBILE STATION

(JMS1)

JAKARTA MOBILE STATION (JMS1)

2. ACTIVE MANUAL METHOD

Off in 2016

No. Location Activity Parameter

1 Kantor BPLHD Kuningan, Jaksel Office TSP, NO2, SO2, Pb

2 Masjid Al - Ijtihad Tebet Jaksel Settlement TSP, NO2, SO2, Pb

3SDN Kramat Pela 12 Jakarta Selatan Settlement TSP, NO2, SO2, Pb

4 JIEP Jakarta Timur Industry TSP, NO2, SO2, Pb

5 Dinas Sosial Ciracas, Jakarta Timur Settlement TSP, NO2, SO2, Pb

6 KBN Cilincing Jakarta Utara Industry TSP, NO2, SO2, Pb

7 DUFAN Ancol, Jakarta Utara Tourism TSP, NO2, SO2, Pb

8Pegadungan Kalideres Jakarta Barat Settlement TSP, NO2, SO2, Pb

9 Masjid Istiqlal Jakarta Pusat Service and trading TSP, NO2, SO2, Pb

3. PASSIVE SAMPLER METHOD

In cooperation with PUSARPEDAL Serpong

Parameter : SO2, NO2, Ozone

Target : Transportation, Industry, Settlement and Office

By 5 administrative area in Jakarta

Sampling frequency: 4 times /year

4. GENT SAMPLER METHOD

In cooperation with Batan, Bandung

Parameter: PM-10, PM-2,5, black carbon and heavy

metal parameter

Sampling period: once a week

5. OPTICAL LASER/GRIMM METHOD

Measuring PM-10, PM-2,5 and

TSP simultaneously, completed

with meteorological data: wind

direction and speed, temperature,

humidity and rainfall

Laser Method (US EPA Approved

– 2011)

REPORTING

Pollutant Standard Index (PSI)

Data concentration (daily, monthly,

annualy)

Display Board

Website

DKI 1 (Bunderan HI)

DKI 2 (Kelapa Gading)

JAKARTA’S AIR QUALITY

CATEGORY

TOTAL (day)

2011 2012 2013 2014 2015

GOOD 92 12 14 35 74

MODERATE 194 133 231 297 286

UNHEALTHY 76 106 94 33 0

VERY UNHEALTHY 3 113 26 0 0

DANGEROUS 0 1 0 0 0

NO DATA 0 0 0 0 5

TOTAL 365 365 365 365 365

PARAMETER TOTAL (day)

PM10 278

SO2 3

CO 7

O3 72

NO2 0

NO DATA 5

TOTAL 365

2015

CATEGORY

TOTAL (day)

2011 2012 2013 2014 2015

GOOD 94 52 73 94 85

MODERATE 193 223 241 250 259

UNHEALTHY 76 87 51 21 15

VERY UNHEALTHY 2 3 0 0 0

DANGEROUS 0 0 0 0 0

NO DATA 0 0 0 0 6

TOTAL 365 365 365 365 365

2015PARAMETER TOTAL (day)

PM10 209

SO2 0

CO 15

O3 135

NO2 0

NO DATA 6

TOTAL 365

DKI 3 (Jagakarsa)

DKI 4 (Lubang Buaya)

JAKARTA’S AIR QUALITY

CATEGORY

TOTAL (day)

2011 2012 2013 2014 2015

GOOD 102 81 40 112 86

MODERATE 242 236 244 234 245

UNHEALTHY 21 47 81 16 33

VERY UNHEALTHY 0 1 0 3 0

DANGEROUS 0 0 0 0 0

NO DATA 0 0 0 0 1

TOTAL 365 365 365 365 365

PARAMETER TOTAL (day)

PM10 7

SO2 0

CO 48

O3 309

NO2 0

NO DATA 1

TOTAL 365

2015

CATEGORY

TOTAL (day)

2011 2012 2013 2014 2015

GOOD 35 13 37 35 62

MODERATE 259 260 270 270 258

UNHEALTHY 71 92 57 55 25

VERY UNHEALTHY 0 0 1 5 0

DANGEROUS 0 0 0 0 0

NO DATA 0 0 0 0 20

TOTAL 365 365 365 365 365

2015PARAMETER TOTAL (day)

PM10 257

SO2 4

CO 7

O3 77

NO2 0

NO DATA 20

TOTAL 365

DKI 5 (Kebon Jeruk)

DKI JAKARTA (2015)

JAKARTA’S AIR QUALITY

CATEGORY

TOTAL (day)

2011 2012 2013 2014 2015

GOOD 0 0 67 63 106

MODERATE 0 0 227 240 248

UNHEALTHY 0 0 50 54 7

VERY UNHEALTHY 0 0 1 5 0

DANGEROUS 0 0 0 0 0

NO DATA 0 0 0 0 4

TOTAL 0 0 365 365 365

PARAMETER TOTAL (day)

PM10 210

SO2 0

CO 5

O3 141

NO2 5

NO DATA 4

TOTAL 365

2015

CATEGORY TOTAL (day)

GOOD 43

MODERATE 258

UNHEALTHY 64

VERY UNHEALTHY 0

DANGEROUS 0

NO DATA 0

TOTAL 365

PARAMETER TOTAL (day)

PM10 166

SO2 0

CO 10

O3 188

NO2 1

NO DATA 0

TOTAL 365

PM10 (e.g : DKI1)

JAKARTA’S AIR QUALITY (2015)

0.00

20.00

40.00

60.00

80.00

100.00

120.00

140.00

160.00

1 3 5 7 9 11 13 15 17 19 21 23 25 27 29 31 33 35 37 39 41 43 45 47

19/07

20/07

21/07

BM PM10

SO2

JAKARTA’S AIR QUALITY (2015)

0.00

10.00

20.00

30.00

40.00

50.00

60.00

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46

19/07

20/07

21/07

0.00

0.50

1.00

1.50

2.00

2.50

3.00

3.50

4.00

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46

19/07

20/07

21/07

CO

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

90.00

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46

19/07

20/07

21/07

O3 NO2

0.00

5.00

10.00

15.00

20.00

25.00

30.00

35.00

1 4 7 10 13 16 19 22 25 28 31 34 37 40 43 46

19/07

20/07

21/07

ONLINE INFORMATIONWebsite:

www.llhd.jakarta.go.id or http://smartcity.jakarta.go.id

ONLINE INFORMATION

Update : daily (24 hours)

CURRENT ACTION

Completing and updating emission inventory data

Since 2014, have been developing an air pollution

control information system (SIPPU) a webbase

application, base on online and offline data

Online system provide data for public

Offline system provide data for related divisions

and agencies (still on progress)

CURRENT PRIORITIES

Completing the development of online public

information system.

Environmental Inspection/Supervision to Industrial

Activity, which consist Air Pollution control from

stationery sources and mobile sources and also gather

emission data from each industry to complete emission

inventory data from industrial activity.

Increase people awareness in improving air quality by

encourage people implementing PROKLIM program.

FUTURE ACTIONS

Improve data quality by:

a. Add 5 to 6 Air Quality Monitoring Station, started in

2018

b. Improve and develop existing method in calculating

air quality monitoring data forecast air quality.