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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

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2018 Impact Factor: 3.883

Front Envir Sci Eng    2012, Vol. 6 Issue (5) : 612-619    https://doi.org/10.1007/s11783-012-0448-1
RESEARCH ARTICLE
Flow and mass balance analysis of eco-bio infiltration system
Marla C. MANIQUIZ, Lee-Hyung KIM(), Soyoung LEE, Jiyeon CHOI
Department of Civil and Environmental Engineering, Kongju National University, 275 Budaedong, Seobuk-gu, Cheonan City, Chungnam-do, 330-717, R. O. Korea
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Abstract

A structured stormwater infiltration system was developed and constructed at a university campus and monitoring of storm events was performed during a one-year operation period. The flow and pollutant mass balances were analyzed and the overall efficiency of the system was assessed. While significant positive correlations were observed among rainfall, runoff and discharge volume (R2= 0.93-0.99; p<0.05), there was no significant correlations existed between rainfall, runoff, discharge volume and pollutant load. The system was more effective in reducing the runoff volume by more than 50% for small storm events but the difference between the runoff and discharge volume was significant even with rainfall greater than 10 mm. Results showed that the pollutant reduction rates were higher compared to the runoff volume reduction. Average pollutant reduction rates were in the range of 72% to 90% with coefficient of variation between 0.10 and 0.46. Comparable with runoff reduction, the system was more effective in reducing the pollutant load for small storm events, in the range of 80% to 100% for rainfall between 0 and 10 mm; while 65% to 80% for rainfall between 10 and 20 mm. Among the pollutant parameters, particulate matters was highly reduced by the system achieving only a maximum of 25% discharge load even after the entire runoff was completely discharged. The findings have proven the capability of the system as a tool in stormwater management achieving both flow reduction and water quality improvement.

Keywords best management practice      flow balance      low impact development      mass balance      nonpoint source      stormwater runoff     
Corresponding Author(s): KIM Lee-Hyung,Email:leehyung@kongju.ac.kr   
Issue Date: 01 October 2012
 Cite this article:   
Marla C. MANIQUIZ,Lee-Hyung KIM,Soyoung LEE, et al. Flow and mass balance analysis of eco-bio infiltration system[J]. Front Envir Sci Eng, 2012, 6(5): 612-619.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-012-0448-1
https://academic.hep.com.cn/fese/EN/Y2012/V6/I5/612
Fig.1  Schematic of the EBF treatment system
Fig.2  Conceptual flow (a) and mass (b) balance for the EBF treatment system
parameterunitminmaxmedianmeanSEa)SDb)
ADDd2.434.24.58.63.310
total rainfallmm1.522.54.57.12.36.8
total rainfall durationh0.876.753.43.40.61.8
total runoff durationh162.022.70.51.6
time before runoff startsh0.1520.70.80.20.7
hydraulic retention timeh02.70.51.10.41.15
average inflow rateM3·h-10.254.80.50.970.481.4
average outflow rateM3·h-102.10.550.60.20.65
peak inflowM3·h-10.9214.32.23.91.44.3
peak outflowM3·h-105.922.30.72.2
runoff coefficient-0.130.910.760.640.0940.28
Tab.1  Summary of monitored storm event data
parameterrainfallrunoffdischarge
total rainfall-0.93*0.93*
total runoff0.93*-0.99*
total discharge0.93*0.99*-
ADD-0.18-0.27-0.29
total rainfall duration0.10-0.07-0.09
total runoff duration0.310.120.14
time before runoff starts-0.45-0.44-0.50
hydraulic retention time-0.03-0.05-0.08
average inflow rate0.840.96*0.95*
average outflow rate0.780.93*0.92*
peak inflow0.96*0.95*0.93*
peak outflow0.820.780.76
runoff coefficient0.030.320.32
Tab.2  Pearson correlation () matrix of total rainfall, runoff, and discharge with storm event variables
pollutantrainfallrunoffdischarge
total suspended solids (TSS)0.260.280.49
chemical oxygen demand (COD-Cr)0.910.720.71
dissolved organic carbon (DOC)0.510.830.62
biological oxygen demand (BOD)0.890.940.96
total nitrogen (TN)0.300.720.56
total phosphorus (TP)0.670.730.84
total-Zn0.460.550.73
total-Pb0.160.620.62
Tab.3  Pearson correlation () matrix of total rainfall, runoff and discharge with pollutant load
ParameterunitminimummaximummedianmeanSESDCVa)
total runoff volumem3·(storm event)-10.39.641.412.370.962.871.21
total discharge volumem3·(storm event)-10 (0)6.21 (81)1.15 (46)1.32 (38)0.65 (11)1.95 (33)1.48
total reduced volumem3·(storm event)-10.26 (19)3.44 (100)0.68 (55)1.05 (62)0.32 (11)0.97 (33)0.93
Tab.4  Statistical summary of flow balance in the system with percentages inside the parenthesis
Fig.3  Polynomial plots of reduced and discharged volume with respect to runoff volume
Fig.4  Logarithmic regression (a) and polynomial regression (b) plots showing the relationship of runoff, discharge and reduced volume with rainfall
pollutanttotal runoff load/(10-3 kg·(storm event)-1)total discharge load/(10-3 kg·(storm event)-1)total reduced load/(10-3 kg·(storm event)-1)
TSS609±54881±106 (10±9)528±462 (90±9)
BOD35±1511±18 (21±31)25±10 (79±31)
COD-Cr425±31568±75 (13±13)358±251 (87±13)
DOC42±2514±19 (28±33)28±23 (72±33)
TN20±175.6±5.9 (23±22)14±13 (77±22)
TP1.8±1.20.35±0.37 (15±14)1.46±0.86 (85±14)
total-Zn1.23±0.840.20±0.19 (13±13)1.03±0.68 (87±13)
total-Pb0.32±0.240.06±0.07 (17±21)0.22±0.21 (83±21)
Tab.5  Average pollutant mass balance (mean±SD) in the system with percentages inside the parenthesis
Fig.5  Logarithmic regression (a) and linear regression (b) plots showing the relationship of runoff, discharge and reduced pollutant load with rainfall
Fig.6  Normalized ratio of discharge pollutant mass load and volume for particulate, organics and nutrients (a), and heavy metal (b) constituents
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