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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) : 658-671    https://doi.org/10.1007/s11783-012-0446-3
RESEARCH ARTICLE
An approach to calculating allowable watershed pollutant loads
Yu GUO1,2, Haifeng JIA1()
1. School of Environment, Tsinghua University, Beijing 100084, China; 2. Shanghai Urban Planning and Design Research Institute, Shanghai 200040, China
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Abstract

To improve the management of discharge pollutants loads in the reservoirs’ watershed, an approach of the allowable pollutants loads calculation and its allocation, based on the water environment model, was proposed. Establishment of the approach framework was described at first. Under the guidance of this framework, two major steps were as follows: modeling and scenario analysis were involved and should be applied to support the decision of discharge loads management; Environmental Fluid Dynamic Code (EFDC) model was selected as the kernel model in this framework. In modeling step, spatial discretization for establishing cell map in model, data preprocessing, parameter calibration and uncertainty analysis (which is considered as the significantly relevant factor of the margin of safety (MOS)), were conducted. As a result of the research, the model-based approach presented as a combination of estimation and precise calculation, which contributed to scenario analysis step. Some integrated modules, such as scenario simulation, result analysis and plan optimization were implemented as cycles in the scenario analysis. Finally, allowable pollutant loads under various conditions were calculated. The Chaihe Reservoir in Liaoning Province, China was used as a case study for an application of the approach described above. Results of the Chaihe reservoir water quality simulation, show good agreement with field data and demonstrated that the approach used in the present study provide an efficient and appropriate methodology for pollutant load allocation.

Keywords Source water protection      watershed management      pollutants load allocation      Environmental Fluid Dynamic Code (EFDC) modeling      margin of safety      statistical analysis     
Corresponding Author(s): JIA Haifeng,Email:jhf@tsinghua.edu.cn   
Issue Date: 01 October 2012
 Cite this article:   
Yu GUO,Haifeng JIA. An approach to calculating allowable watershed pollutant loads[J]. Front Envir Sci Eng, 2012, 6(5): 658-671.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-012-0446-3
https://academic.hep.com.cn/fese/EN/Y2012/V6/I5/658
Fig.1  Modeling process flow chart
Fig.2  Land uses in the Chaihe Reservoir watershed
Fig.3  The Chaihe Reservoir watershed
Fig.4  The stage-volume relationship of Chaihe Reservoir
Fig.5  The inflow rate of reservoir from Chaihe River
Fig.6  Discretization of Chaihe reservoir system for the EFDC model
Fig.7  Simulation results of hydrodynamic parameter calibration
parameterdescriptionvalueSi
rNitMmaximum nitrification rate/(gN·m-3·d-1)0.86.76%
KNit1suboptimal temperature effect constant for nitrification0.05915.64%
KNit2superoptimal temperature effect constant for nitrification0.0030.114%
KDNminimum hydrolysis rate (1/day) of DON0.0416.83%
KHNitDOnitrification half-sat. constant for DO10.582%
KDRNDON Percentage of TON0.5834.50%
Tab.1  Sensitivity analysis of significant parameters
Fig.8  Results of water quality parameter calibration and validation
areasindicesCalibrationvalidation
upstream of reservoirNH3-N7.3%15.1%
TN6.8%7.8%
TP30.1%25.2%
middle of reservoirNH3-N43.4%27.5%
TN15.6%11.6%
TP34.0%37.8%
before damNH3-N50.2%21.0%
TN35.4%21.1%
TP27.8%19.7%
Tab.2  Error analysis of calibration and validation
Fig.9  Concentration of NH-N (a)and TP (b) at the evaluation point in the initial scenario simulated by EFDC model
Fig.10  The spatial distribution of ammonia in the simulation of the scenario configured by the monitoring data of 2005
IDNH3-NTP
concentration of inflow/(mg·L-1)concentration of end point/(mg·L-1)concentration of inflow/ (mg·L-1)concentration of end point/(mg·L-1)
10.800.6760.0440.0192
20.700.6180.0500.0208
30.650.5880.0600.0233
40.400.4460.0700.0288
50.600.5590.0800.0326
60.550.5310.0650.0272
70.500.5010.0550.0225
Tab.3  The cause-and-effect relationship
ParameterCVSi
rNitM25%6.76%
KNit15%15.64%
KNit25%0.114%
KDN25%16.8%
KHNitDO25%0.582%
KDRN30%34.50%
CVYCVY=i=1p(CVxi)2?Si211.33%
Tab.4  Coefficient of variation
Fig.11  Allowable allocation loads of NH-N
water environmental carrying capacity/(t·month-1)MOS/(t·month-1))allowable loads/(t·month-1)
NH3-N142.7814.53128.25
TP17.530.8816.65
Tab.5  The result of allowable loads
Fig.12  The simulation result of Chl-a, (a) is for 238th day, concentration of Chl-a: 7.9 μg·L; (b) is for 247th day, concentration of Chl-a: 11.3 μg·L
Fig.13  The towns in the Chaihe Reservoir watershed
towncontributing weightammoniaTP
current load/(t·month-1)allowable discharge load/(t·month-1)reduction/(t·month-1)current load/(t·month-1)allowable discharge load/(t·month-1)reduction/(t·month-1)
Qingyuan0.6105.2074.5330.6719.597.4512.14
Shangfeidi0.627.7719.538.245.174.121.05
Xiafeidi0.830.3023.406.905.643.961.68
Huangqizhai0.847.1337.699.448.783.964.82
Kaoshan0.823.3520.043.324.352.601.75
Chaihe1.016.838.548.293.131.541.59
Dadianzi1.026.095.3420.754.860.694.17
total276.68189.0787.6051.5224.3327.19
Tab.6  The loads allocation in watershed management of Chaihe Reservoir
1 Cheng S. Environmental capacity and permissible discharge of rivers. Water Resource Protection , 2003, 19(2): 8-10 (in Chinese)
2 Meng W, Liu Z, Zhang N, Hu L. The study on technique of basin water quality target management II: water environmental criteria, standard and total amount control. Research of Environmental Sciences , 2008, 21(1): 1-8 (in Chinese)
3 Hamrick J M. A three-dimensional environmental fluid dynamics computer code: theoretical and computational aspects. The College of William and Mary, Virginia Institute of Marine Science. Special Report 317 , 1992
4 U.S. Environmental Protection Agency Office of Wetlands, Oceans & Watersheds. Handbook for Developing Watershed TMDLs , 2008
5 Elshorbagy A, Teegavarapu R S V, Ormsbee L. Total maximum daily load (TMDL) approach to surface water quality management: concept, issues, and applications. Canadian Journal of Civil Engineering , 2005, 32(2): 442-448
doi: 10.1139/l04-107
6 New Jersey Department of Environmental Protection. Total Maximum Daily Load Report for the non-Tidal Passaic River Basin Addressing Phosphorus Impairments. Trenton, New Jersey, USA , 2007
7 Jia H, Cheng S. Spatial and dynamic simulation for Miyun Reservoir waters in Beijing. Water Science and Technology , 2002, 46(11-12): 473-479
pmid:12523796
8 Zou R, Lung W S, Wu J.Multiple-parttern parameter identification and uncertainty analysis approach for water quality modeling. Ecological Modelling , 2009, 220: 621-629
9 USEPA. Guidance for water quality-based decisions: The TMDL process. EPA 440/4-91-001, Washington DC , 1991
10 Armstrong N E. Water quality modeling and total maximum daily loads. Water Environment Research , 2001, 73(2): 131
pmid:11563371
11 Dilks D W, Freedman P L. Improved consideration of the margin of safety in total maximum daily load development. Journal of Environmental Engineering , 2004, 130(6): 690-694
doi: 10.1061/(ASCE)0733-9372(2004)130:6(690)
12 Zhang H X, Yu S L. Appling the first-order error analysis in determining the margin of safety for total maximum daily load computations. Journal of Environmental Engineering , 2004, 130(6): 664-673
doi: 10.1061/(ASCE)0733-9372(2004)130:6(664)
13 Melching C S, Yoon C G. Key source of uncertainty in QUAL2E model of Passaic River. Journal of Water Resources Planning and Management , 1996, 112(2): 105-113
doi: 10.1061/(ASCE)0733-9496(1996)122:2(105)
14 Wang J P, Su B L, Jia H F, Cheng S T, Yang Z S, Wu D W, Sun F. Scenario analysis of integrated model of nutrients in the Miyun Reservoir and its watershed. Environmental Sciences , 2006, 27(8): 1544-1548 (in Chinese)
pmid:17111608
15 Havens K E, Schelske C L. The importance of considering biological processes when setting total maximum daily loads (TMDL) for phosphorus in shallow lakes and reservoirs. Environmental Pollution , 2001, 113(1): 1-9
doi: 10.1016/S0269-7491(00)00235-9 pmid:11351756
16 Jia H, Zhang Y, Guo Y. The development of a multi-species algal ecodynamic model for urban surface water systems and its application. Ecological Modelling , 2010, 221(15): 1831-1838
doi: 10.1016/j.ecolmodel.2010.04.009
17 Brown L C. Modeling uncertainty—QUAL2E-UNCAS: A case study. In: Proceedings of Water Environment Federation—National TMDL Science Issues Conference, St. Louis, USA, 2001
18 Brown L C, Barnwell T O. The enhanced stream water quality models QUAL2E and QUAL2E-UNCASE: Document and user manual. Report No. EPA 600/3-87/007, Athens, Greece , 1987
19 [] Wang J, Cheng S, Jia H.Water quality changing trends of the Miyun Reservoir. Journal of Southeast University . 2005, 21(2): 215-219
20 Yuan J. Non-point source pollution simulation study on the Chaihe Reservoir basin. Disseration for the Master Degree , Beijing: Beijing Normal University, 2010
21 Yan F. The study on water capacity of Ningbo City. Disseration for the Master Degree . Beijing: Tsinghua University, 2005
22 DePinto J V, Freedman P L, Dilks D M, Larson W M. Models quantify the total maximum daily load process. Journal of Environmental Engineering , 2004, 130(6): 703-713
doi: 10.1061/(ASCE)0733-9372(2004)130:6(703)
23 New Jersey Department of Environmental Protection. Total Maximum Daily Loads for Pathogens to Address 25 Lakes in the Northeast Water Region. New Jersey Department of Environmental Protection , 2007
24 USEPA. National strategy for the development of regional nutrient criteria. Washington DC: USEPA, 1998
25 USEPA. National recommended water quality criteria: 2004. Washington DC: Office of Science and Technology, 2004
26 Wang J P, Cheng S T, Jia H F. Markov Chain Monte Carlo scheme for parameter uncertainty analysis in water quality model. Environmental Sciences , 2006, 27(1): 24-30 (in Chinese)
pmid:16599115
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