Water quality modeling to assess Ciliwung River pollution in Jakarta, Indonesia. Ram Krishna REGMI (UNU-IAS Postdoctoral Fellow)

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1 Water quality modeling to assess Ciliwung River pollution in Jakarta, Indonesia Ram Krishna REGMI (UNU-IAS Postdoctoral Fellow) March 1, 1 1

2 Background Sources of pollution of surface water crossing Jakarta: Water from households, commercial buildings Discharges from industries Pesticide and fertilizer run-off from agricultural land Solid waste Fecal matter from overflowing or leaking septic tanks Ciliwung River catchment is the biggest river intersecting the Jakarta Province. This research work was focused on Ciliwung River catchment in Jakarta to study the current trend of changes in the level of water quality parameters along the river using WEAP (Water Evaluation And Planning) model.

3 Background Highly flexible hydrologic-water quality model and largely used for integrated water resources planning and management. GIS-based, graphical drag & drop interface Mass balance equations are the foundation of WEAP model Scenario management capabilities 3

4 Study Area Jakarta City River Catchments in the Jabodetabek Region

5 Study Area! Sebelum Pintu Air Manggarai WQ Stn WWTP covered area =13.93km Intake PAM Condet WQ Stn 73.km Sugutamu Gauging Stn Kp Kelapa Gauging Stn 5.9km 5.9km Total: 39.77km Katulampa Gauging Stn.75km 15.3km Ciliwung River Catchment 5

6 Population Study Area CA CA3 CA5! Population 1 1 CA CA Year Year CA1 CA CA3 CA CA5 17,1 31,593,51 31,7 937,9 7 1,37 91,3 99,155 9,7 9, ,39 719,9 3,79 5,9 1,,1 15 3,3 93,731 19,7 5,57 1,373,71 7,59 1,1,199 9,13 71,519 1,7, ,79 1,35,1 1,1,1 73,17 1,7,95

7 Meteorological Data Average Temperature ( C) Temp ( C) RH(%) Average Relative Humidity (%).5 Max =.3% Min = 9.71% Max = 7.3 C Min = 5. C 7

8 WEAP interface Discharge/ Water Quality station Water Source Water demand site Wastewater treatment

9 Flow (m 3 /s) ly Average Discharge Head In-flow Conditions Max =.9 m 3 /s Min =. m 3 /s DO (mg/l) 1 ly Average DO Max =. mg/l Min =.7 mg/l COD (mg/l) 1 1 ly Average COD Max = 1.7 mg/l Min =.3 mg/l BOD (mg/l) 3 1 ly Average BOD Max =.3 mg/l Min = 1. mg/l WQ parameters were approximated as per the data presented in 9

10 Rainfall Conditions Rainfall (mm) Max = 33 mm Min = 7 mm Max = 3 mm Min = 17 mm 1 1

11 Results Average monthly discharge at Kp Kelapa station (-7)! Max = 33. m 3 /s Min =. m 3 /s Max =. m 3 /s Min = 5.7 m 3 /s Simulation Measurement Flow (m 3 /s)

12 7 Results Discharge at different stations (simulation) Kp Kelapa Sugutamu IP Condet PA Maggarai! Flow (CMS) Flow (CMS) Kp Kelapa Sugutamu IP Condet PA Maggarai 3 1 1

13 9 7 Water quality parameters at Intake PAM Condet (-1) DO Results Simulation Measurement! DO (mg/l) Simulation Measurement COD BOD (mg/l) Simulation Measurement BOD COD (mg/l)

14 Water quality parameters at Sebelum Pintu Air Manggarai (-1) 9 7 DO Results Simulation Measurement! DO (mg/l) Simulation Measurement COD BOD (mg/l) BOD Simulation Measurement COD (mg/l)

15 Results DO at different stations (simulation) Kp Kelapa Sugutamu IP Condet PA Maggarai! 7 DO (mg/l) Kp Kelapa Sugutamu IP Condet PA Maggarai 7 DO (mg/l) 5 3 DO < 5mg/l considered as not suitable for aquatic life 1 15

16 1 15 Results BOD at different stations (simulation) Kp Kelapa Sugutamu IP Condet PA Maggarai! 1 BOD (mg/l) 1 3 Kp Kelapa Sugutamu IP Condet PA Maggarai 1 BOD (mg/l) BOD > 7mg/l considered as not suitable for aquatic life 1

17 Results COD at different stations (simulation) Kp Kelapa Sugutamu IP Condet PA Maggarai! COD (mg/l) Kp Kelapa Sugutamu IP Condet PA Maggarai COD (mg/l)

18 Conclusions The simulation results show that the pollution level of the Ciliwung River is high and not suitable for aquatic life. Alternative baseline scenarios can examine vulnerability of water qualities to different demographic, technological, & climatological/hydrological futures. 1

19 THANK YOU VERY MUCH FOR YOUR KIND ATTENTION! 19

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