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Executive Gommittee

FURUMAI Hiroaki HU Hong-ying ITO Mitsuaki JUNG Jinyoung MATSUlYoshihiko NlSHlJlMAWataru ONO Yoshiro SHI Jianghong YEDLA Sudhakar

Scientific

Committee

WET2017 Committees

Hokkaido University Hokkaido University Kitasato University

National Institute of Public Health Kantogakuin University

Pusan National University

Center for Environmental Science in Saitama Hiroshima University

The University of Tokyo Kyoto University Tohoku University Ehime University

Niigata Univ. of Pharmacy and Applied Life Sci.

The University of Tokyo Tshinghua University IDEA Consultants lnc.

Yeungnam University Hokkaido University Hiroshima University

Kyoto Institute of Technology

South Univ. of Sci. & Technol. of China Indira Gandhi Inst. of Develop. Res The University of Tokyo

The University of Tokyo Azabu University University of Malaya lbaraki University

U n iversity of Wol longong

Kyoto University

Nagaoka University of Technology Kyoto University

Kanazawa University Osaka University Hokkaido University Gunma University Hanyang University

National Institute of Health Sciences United Nations University

National lnstitute of Technology, Gunma college Chalmers University of Technology

National Institute of Technology, Ube College Yokohama National University

Kindai University

National Institute of Public Health lwate University

Organizing committee Chair

Vice Chair Committee member

Secretary Vice Secretary

Chief Secretary

Committee member

SATOH Hisashi MATSUlYoshihiko SEI Kazunari ECHIGO Shinya KAMATA Motoyuki LEE Taeho MISHIMA lori NAKAI Satoshi NAKAJIMA Fumiyuki NISHIMURA Fumitake SANO Daisuke WATANABE Kozo lGUCHlAkinori

SATOH Hiroyasu NAKAJIMA Fumiyuki OHKOUCHlYumiko CHUAAdeline Seak Mav FUJITA Masafumi HAI Faisal lbney HARADA Hidenori HATAMOTO Masashi HlDAKATaira

HONDA Ryo INOUE Daisuke ITO Ryusei ITO Tsukasa KIM Jong-Oh

KOBAYASHI Norihiro MASAGO Yoshifumi MIYMATO Naoki MODIN Oskar NAKANO Yoichi N|TTAMlTadashi OGATA Fumihiko SAGEHASHI Masaki TERASAKI Masanori

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lssued on 22th July 2017

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Abstract

Green Plaza

Fukagawatokiwa

201 2-9-7

Tokiwa Koto 135-0006 Tokyo, Japan +81-3-3632-5351

2-7-11 Kiyosumi Koto

135-0024

Tokyo,

Japan +81-3-3642-6045

Kinetics of Aerobic Sequencing Batch Reactor after Dissolved Air Flotation for Slaughterhouse Wastewater Treatment in Bandung, Indonesia

Dyah Asri Handayani TAROEPRATJEKA*, Mindriany SYAFILA **, Tsuyoshi IMAI*

*Division of Environmental Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, Yamaguchi 755-8611 Japan

**Department of Environmental Engineering, Faculty of Civil and Environmental Engineering, Institut Teknologi Bandung, Jawa Barat 40132 Indonesia

1. Introduction 2. Material and Methods

3. Results

Objectives:

to study the effects of low load (1,500 mg/L COD) and high load (3,500 mg/L COD) organic loadings and reaction to stabilization time to Sequencing Batch Reactor efficiencies and kinetics.

Ciroyom Slaughterhouse Wastewater Characteristics

No. Parameter

1. Nitrite – N (NO ₂ ) mg/l 1.609 2. Nitrate – N (NO ₃ ) mg/l 2.663 3. Ammonium – N (NH ₄ ) mg/l 47.833 4. Total Suspended Solid mg/l 152 5. Total Dissolved Solid mg/l 15,330

6. Total Solid mg/l 15,555

7. Nitrogen Kjeldahl (NTK) mg/l 306.3

8. Total COD mg/l 3,118.95

9. Dissolved COD mg/l 3,013.23

10. Total P mg/l 52.43

11. BOD ₅ mg/l 1,712.84

Sequencing Batch Reactor (SBR):

Has relatively simple installation design,

intermittent time of operation  suitable for the condition of slaughterhouse, with 13 hours of

working time per day.

Exceeds the Indonesian

Government standard for COD in slaughterhouse wastewater (200 mg/L), so treatment is

needed.

Flowmeter Flow Pump meter Pressure

tank

Recirculation tank

Flotation Tank Valve

SBR Feeding Tank

Compressor Feed

Peristaltic pump

Compressor

Circulating Batch Reactor working volume: 10 L

Effluent

DAF

SEQUENCING BATCH REACTOR

Fill 1 hour

React 4 hours/

2 hours

Settle &

Decant 3 hours

Stabilization 4 hours/

6 hours

1 2 3 4 5

7 8

6 DAF effluent Sludge at

beginning of Fill

End of fill End of react

DAF influent End of stabilization

Supernatant Sludge at end of

Settle & decant sparger Sampling ports

1500 mg/L COD load

3500 mg/L COD load 4 h react & 4 h stabilization time ○ ○

2 h react & 6 h stabilization time x ○

Organic Carbon Removal Efficiency

1500 mg/L COD Loading 3500 mg/L COD Loading

Cycle 1st run 2nd run 1st run 2nd run 3rd run 4 h react,

4 h

stabilization

4 h react, 4 h

stabilization

4 h react, 4 h

stabilization

4 h react, 4 h

stabilization

2 h react, 6 h

stabilization

1 52.86% 89.22% 84.54% 86.36% 71.19%

2 72.46% 81.63% 89.76% 90.82% 80.88%

3 84.46% 79.83% 85.48% 94.20% 68.17%

average 69.93% 83.56% 86.59% 90.46% 73.41%

Run COD Loading Cycle

Y (mg VSS/

mg COD) q (hour ^-1 ) µ (hour ^-1 )

2 (4 h react, 4 h

stabilization)

1500

1 0.3243 0.0122 0.0031

2 -0.021 0.0123 -0.0084 3 -0.8449 0.0102 -0.0097 average -0.1805 0.0116 -0.0050

3500

1 0.1612 0.0181 0.0049

2 -0.4108 0.0174 -0.0146

3 0.4489 0.0205 0.0154

average 0.0664 0.0187 0.0019 3 (2 h react, 6

h

stabilization)

3500

1 0.7332 0.0258 0.0101

2 0.2122 0.0327 0.0052

3 0.1459 0.0165 0.0058

average 0.3638 0.025 0.0070

Kinetics Results

Negative Y value might be caused by insufficient substrate and oxygen during the settle & decant period, because the reactor was not aerated during that period.

4. Conclusion

• Best efficiency for organic C removal was 90.46% at 3500 mg/L COD loading and 4 hours react and 4 hours stabilization time.

• Highest overall cycle kinetics for carbon removal was achieved at 3500 mg/L COD loading with 2 hours react and 6 hours stabilization time with Y, q, and μ of 0.3638 mg VSS/ mg COD, 0.025 hour ^-1 , and 0.007 hours ^-1 , respectively.

y = -0.7332x + 7112.4 R² = 0.6639

y = -0.2266x + 6698 R² = 0.6003

y = -0.1459x + 6295.1 R² = 0.1069 5400

5600 5800 6000 6200 6400 6600 6800

0 500 1000 1500 2000 2500

X ( mg /L )

S (mg/L)

Y 3rd Run 3500 mg/L COD loading (2 h react & 6 h stabilization)

1st cycle 2nd cycle 3rd cycle

Linear (1st cycle) Linear (2nd cycle) Linear (3rd cycle)

y = 0.0101x + 8.6862 R² = 0.1339

y = 0.0052x + 8.7534 R² = 0.2074

y = 0.0058x + 8.7031 R² = 0.3348 8.62

8.64 8.66 8.68 8.7 8.72 8.74 8.76 8.78 8.8 8.82 8.84

0 1 2 3 4 5 6 7

lnX

t (hour)

µ 3rd Run 3500 mg/L COD loading (2 h react & 6 h stabilization)

1st cycle 2nd cycle 3 rd cycle

Linear (1st cycle) Linear (2nd cycle) Linear (3 rd cycle) y = -0.0258x + 1802.2

R² = 0.6756

y = -0.0327x + 1767.5 R² = 0.6983

y = -0.0165x + 1519.9 R² = 0.5751 0

500 1000 1500 2000 2500

0 5000 10000 15000 20000 25000 30000 35000 40000 45000

S (mg /L )

Xt (mg/L hour)

q 3rd Run 3500 mg/L COD loading (2 h react & 6 h stabilization)

1st cycle 2nd cycle 3rd cycle

Linear (1st cycle) Linear (2nd cycle) Linear (3rd cycle)