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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front Envir Sci Eng Chin    2011, Vol. 5 Issue (2) : 255-265    https://doi.org/10.1007/s11783-010-0279-x
RESEARCH ARTICLE
Scenario analysis of water pollution control in the typical peri-urban river using a coupled hydrodynamic-water quality model
Haifeng JIA1(), Shuo WANG1, Mingjie WEI2, Yansong ZHANG1
1. Department of Environmental Science and Engineering, Tsinghua University, Beijing 100084, China; 2. Beijing Municipal Urban Planning and Design Institute, Beijing 100045, China
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Abstract

The water quality pollution and ecological deterioration in peri-urban rivers are usually serious under rapid urbanization and economic growth. In the study, a typical peri-urban river, Nansha River, was selected as a case study to discuss the scheme of peri-urban river rehabilitation. Located in the north part of the Beijing central region, the Nansha River watershed has been designated as an ecologically friendly garden-style area with high-tech industry parks and upscale residential zones. However, the Nansha River is currently seriously contaminated by urban and rural pollutants from both nonpoint sources (NPS) and point sources (PS). In this study, the pollutant loads from point sources and nonpoint sources in the Nansha River watershed were first assessed. A coupled model, derived from the Environmental Fluid Dynamics Code and Water Quality Analysis Simulation Program, was developed to simulate the hydrodynamics and water quality in the Nansha River. According to the characteristics of the typical peri-urban river, three different PS and NPS control scenarios were designed and examined by modeling analyses. Based on the results of the scenario analysis, a river rehabilitation scheme was recommended for implementation.

Keywords peri-urban river      coupled hydrodynamic-water quality modeling      scenario analysis      river rehabilitation     
Corresponding Author(s): JIA Haifeng,Email:jhf@tsinghua.edu.cn   
Issue Date: 05 June 2011
 Cite this article:   
Haifeng JIA,Shuo WANG,Mingjie WEI, et al. Scenario analysis of water pollution control in the typical peri-urban river using a coupled hydrodynamic-water quality model[J]. Front Envir Sci Eng Chin, 2011, 5(2): 255-265.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-010-0279-x
https://academic.hep.com.cn/fese/EN/Y2011/V5/I2/255
Fig.1  Location of Nansha River watershed and its river system
Fig.2  Waste dumping and wastewater discharge in an uncontrolled manner
Fig.3  Technical approach for developing the plan
Fig.4  WASP/EUTRO state variable interactions []
Fig.5  Spatial conceptualization scheme for the Nansha River
Fig.6  Computational cells for the Nansha River
Fig.7  Calibration and verification results of the model. (a) Calibration; (b) verification
indexcalibration statisticsverification statistics
meanmean square deviationmedian errors/%meanmean square deviationmedian errors/%
DO14.257.2536.3113.956.2232.52
BOD57.325.4743.076.283.6021.95
NH3-N1.360.9652.090.130.0736.31
TP0.340.3033.900.140.1526.10
Tab.1  Statistics of calibration and verification
Fig.8  Spatial distributions of WWPTs and wetland
time periodpollutant loads /(kg·d-1)R1R2R3R4R5R6R7R8R9R10R11
Jun.-Sept. NH3-N27.3050.4432.135.164.4344.6354.736.64196.942.95145.74
OP-P0.004.374.910.000.005.2512.430.0014.600.0022.30
PO4-P0.001.872.110.000.002.255.330.006.260.009.56
DO0.0031.2035.100.000.0037.5088.750.00197.120.00159.30
BOD572.33146.07100.3113.2910.95132.87182.1917.59590.798.21452.32
other NH3-N1.5220.4921.680.290.2523.7353.330.37192.760.1698.38
OP-P0.004.374.910.000.005.2512.430.0014.600.0022.30
PO4-P0.001.872.110.000.002.255.330.006.260.009.56
DO0.0031.2035.100.000.0037.5088.750.00197.120.00159.30
BOD54.0367.0771.880.740.6178.23177.760.98580.450.46326.06
Tab.2  Pollutant loads from point sources and nonpoint source under scenario 1
Fig.9  Simulation results for cell 12 in a wet year under scenario 1
time periodpollutant loads /(kg·d-1)R1R2R3R4R5R6R7R8R9R10R11
Jun.-Sept. NH3-N27.3037.9618.095.164.4344.6319.236.64196.942.95132.11
OP-P0.000.870.980.000.005.252.490.0014.600.0018.21
PO4-P0.000.370.420.000.002.251.070.006.260.007.81
DO0.0031.2035.100.000.0037.5088.750.00197.120.00169.02
BOD572.33108.6358.1913.2910.95132.8775.6917.59590.798.21413.35
other NH3-N1.528.017.640.290.2523.7317.830.37192.760.1684.74
OP-P0.000.870.980.000.005.252.490.0014.600.0018.21
PO4-P0.000.370.420.000.002.251.070.006.260.007.81
DO0.0031.2035.100.000.0037.5088.750.00197.120.00169.02
BOD54.0329.6329.760.740.6178.2371.260.98580.450.46287.09
Tab.3  Pollutant loads from Point sources and nonpoint sources under scenario 2
water quality indexcell 29 (upper section)cell 12 (middle section)cell 62 (down section)
DO
BOD5×
NH3-N××
TP×
Tab.4  Comparison of simulated results and the grade IV of GB3838-2002 in wet year
Fig.10  Simulation results for cell 12 in wet year under scenario 2
time periodpollutant loads /(kg·d-1)R1R2R3R4R5R6R7R8R9R10R11
Jun.-Sept. NH3-N27.318.989.042.582.2114.829.613.3220.772.9641.01
OP-P0.000.440.490.000.000.531.250.002.600.002.23
PO4-P0.000.190.210.000.000.230.540.001.120.000.96
DO0.0015.6017.550.000.0018.7544.380.0092.800.0079.65
BOD572.354.3229.096.655.4743.9337.858.8079.718.22130.58
Dec.-Feb. NH3-N1.528.017.640.290.258.7317.830.3737.370.1634.66
OP-P0.000.870.980.000.001.052.490.005.200.004.46
PO4-P0.000.370.420.000.000.451.070.002.230.001.91
DO0.0031.2035.100.000.0037.5088.750.00185.600.00159.30
BOD54.0329.6329.760.740.6133.2371.260.98149.090.46134.90
other NH3-N1.524.003.820.140.124.378.920.1918.680.1617.33
OP-P0.000.440.490.000.000.531.250.002.600.002.23
PO4-P0.000.090.110.000.000.110.270.000.560.000.48
DO0.007.808.780.000.009.3822.190.0046.400.0039.83
BOD54.0314.8114.880.370.3116.6135.630.4974.550.4667.45
Tab.5  Pollutant loads from Point sources and nonpoint source under scenario 3
Fig.11  Simulation results for cell 12 in wet year under scenario 3
1 Eden S, Tunstall S. Ecological versus social restoration? How urban river restoration challenges but also fails to challenge the science – policy nexus in the United Kingdom. Environment and Planning. C: Government & Policy , 2006, 24(5): 661–680
doi: 10.1068/c0608j
2 Wang P F, Wang C. Study on integrated environment construction mode of urban river ecosystem. Journal of Hohai University (Natural Sciences) , 2005, 33(1): 68–71 (in Chinese)
3 Beijing Municipal Government. Beijing City Master Plan (2004–2020). Beijing , 2005 (in Chinese)
4 State Environmental Protection Administration, General Administration of Quality Supervision, Inspection and Quarantine. Environmental quality standards for surface water (GB 3838-2002). Beijing, 2002 (in Chinese)
5 Hamrick J M. User’s Manual for the Environmental Fluid Dynamics Computer Code. VA: Department of Physical Sciences School of Marine Science, VIMS, VA. 1996
6 Park K, Jung H S, Kim H S, Ahn S M. Three-dimensional hydrodynamic-eutrophication model (HEM-3D): application to Kwang-Yang Bay, Korea. Marine Environmental Research , 2005, 60(2): 171–193
doi: 10.1016/j.marenvres.2004.10.003 pmid:15757748
7 Wang J P, Cheng S T, Jia H F. Water quality changing trends of the miyun reservoir. Journal of southeast university, 2005, 21(2):215–219
8 Wang J P, Su B L, Jia H F, Cheng S T, Yang Z S, Wu D W, Sun F. Integrated model of nutrients for the Miyun Reservoir and its watershed. Environmental Sciences , 2006, 27(7): 1286–1291 (in Chinese)
pmid:16881296
9 Ambrose R B, Wool T A, Martin J L. The Water Quality Analysis Simulation Program, WASP5 Model Documentation and User Manual. Athens, Georgia: Environment Research Lab. U.S.EPA. 1993
10 Jia H F. GIS enhanced water quality simulation and its application in Miyun Reservoir. Dissertation for the Doctoral Degree. Beijing: Tsinghua University. 1999 (in Chinese)
11 Jia H F, Cheng S T, Du W T. Integration of GIS with the surface water quality model WASP5. Journal of Tsinghua University , 2001, 41(8): 125–128 (in Chinese)
12 Jia H F, Cheng S T. Spatial and dynamic simulation for Miyun Reservoir waters in Beijing. Water Sci Technol , 2002, 46(11–12): 473–479
pmid:12523796
13 Xie Y, Jia H F. The development of hydraulic–ecological model for Beijing typical urban rive. Research report by Department of Environmental Science and Engineering, Tsinghua University, 2006 (in Chinese)
14 Zhang Y S. The development of multi-species ecodynamic model in Beijing typical urban rivers. Dissertation for the Doctoral Degree. Beijing: Tsinghua University, 2007 (in Chinese)
15 Wan C. Study on the simulation of the non-point source pollution in the upstream watershed of the Panjiakou Reservoir. Dissertation for the Doctoral Degree. Beijing: Tsinghua University, 2002 (in Chinese)
16 Dong N, Su B L. The development of water quality model for Nansha River. Research report by Department of Environmental Science and Engineering, Tsinghua University, 2005 (in Chinese)
17 Johnes P J. Evaluation and management of the impact of land use change on the nitrogen and phosphorus load delivered to surface waters: the export coefficient modeling approach. Journal of Hydrology (Amsterdam) , 1996, 183(3–4): 323–349
doi: 10.1016/0022-1694(95)02951-6
18 The Chinese Academy for Environmental Planning. National Water Environment Capacity Technical Guide. Beijing, 2003
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