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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    2013, Vol. 7 Issue (5) : 735-745    https://doi.org/10.1007/s11783-013-0560-x
RESEARCH ARTICLE
A modeling system for drinking water sources and its application to Jiangdong Reservoir in Xiamen city
Pengfei DU1(), Zhiyi LI1, Jinliang HUANG2
1. State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; 2. Coastal & Ocean Management Institute, Xiamen University, Xiamen 361005, China
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Abstract

Drinking water sources are highly valued by authorities for safeguarding the life of a city. Models are widely applied as important and effective tools in the management of water sources. However, it is difficult to apply models in water source management because water managers are often not equipped with the professional knowledge and operational skills necessary for making use of the models. This paper introduces a drinking water source simulation and prediction system that consists of a watershed model, a hydrological model and a water quality model. This system provides methods and technical guidance for the conventional management of water sources and emergency water event response. In this study, the sub-models of the system were developed based on the data of the Jiangdong Reservoir in Xiamen, and the model validation was based on local monitoring data. The hydrological model and water quality model were integrated by computer programming, and the watershed model was indirectly integrated into the system through a network platform. Furthermore, three applications for Jiangdong Reservoir water protection utilizing the system were introduced in this paper, including a conventional simulation, an emergency simulation, and an emergency measures evaluation.

Keywords water source      integrated modeling system      prediction      Jiulong River     
Corresponding Author(s): DU Pengfei,Email:dupf@tsinghua.edu.cn   
Issue Date: 01 October 2013
 Cite this article:   
Pengfei DU,Zhiyi LI,Jinliang HUANG. A modeling system for drinking water sources and its application to Jiangdong Reservoir in Xiamen city[J]. Front Envir Sci Eng, 2013, 7(5): 735-745.
 URL:  
https://academic.hep.com.cn/fese/EN/10.1007/s11783-013-0560-x
https://academic.hep.com.cn/fese/EN/Y2013/V7/I5/735
Fig.1  Study area
Fig.2  Method of building the system
workdata
detail of datacheck datayears
watershed model calibrationhydrological data and water quality data in Jiangdong stationwater flow, TP, ammonia2001-2003
watershed model validationhydrological data and water quality data in Jiangdong stationwater flow, TP, ammonia2004-2007
hydrological model calibrationhydrological data in Punan station, Longjin stream, Mayang stream and Jiangdong stationwater flow, water level2006, 2007
hydrological model validationhydrological data in Punan station, Longjin stream, Mayang stream and Jiangdong stationwater flow, water level2008, 2010
water quality model calibrationwater quality data in Jiangdong ReservoirDO, TP, ammonia, CHLa2006-2008
water quality model validationwater quality data in Jiangdong ReservoirDO, TP, ammonia, CHLa2010
Tab.1  Data used in modeling
Fig.3  Segmentation of the Jiulong River basin
evaluation factorflow (monthly)flow (daily)ammoniaTP
NSE0.860.600.570.49
R20.950.640.610.63
RE0.420.490.160.26
Tab.2  Validation results of SWAT
validation stationevaluation factorflowwater levelDONHTPCHLa
Tieluqiao stationME--0.1630.9890.3280.607
RE--0.2160.7420.3650.671
Main riverME--0.1730.3790.7560.179
RE--0.1630.4710.4700.196
Infall of MayangME--–0.3111.3850.321-
RE--0.2880.7890.367-
Jiangdong stationME0.498-0.1610.5090.2650.413
RE0.304-0.1770.4250.2800.393
Punan stationME0.2140.068----
RE0.1930.020----
Tab.3  Validation results of EFDC and WASP
Fig.4  Water quality model simulation results: (a) reservoir river inlet simulation; (b) drinking water intake simulation
siteflow /(m3·s-1)ammonia /(mg·L-1)TP /(mg·L-1)DO /(mg·L-1)CHLa /(μg·L-1)
Lishui station2850.210.13102/500(the fifth day)
Punan station3170.150.12102
Longjin station380.600.17102
Mayang station100.620.40102
Tab.4  Emergency pollution source simulation
Fig.5  Water quality model simulation results
Fig.6  Water quality model simulation results
Fig.7  Water quality model simulation results
Fig.8  Water quality model simulation results
emergencydilution treatmentlocal intercept treatment
peak value /ppbtime of concentration exceeds 30 ppb /hpeak value /ppbtime of concentration exceeds 30 ppb /hpeak value /ppbtime of concentration exceeds 30 ppb /h
riservoir inlet90.01844.71548.612
drinking water intake39.21230.3322.90
Tab.5  Emergency pollution source simulation
1 Qu J H, Yin C Q, Yang M, Liu H J. Development and application of innovative technologies for drinking water quality assurance in China. Frontiers of Environmental Science & Engineering in China , 2007, 1(3): 257–269
doi: 10.1007/s11783-007-0044-y
2 Jia H F, Wang S, Wei M J, Zhang Y S. Scenario analysis of water pollution control in the typical peri-urban river using a coupled hydrodynamic-water quality model. Frontiers of Environmental Science & Engineering in China , 2011, 5(2): 255–265
doi: 10.1007/s11783-010-0279-x
3 Liu L, Ma X M. Integrated river basin management in rapidly urbanizing areas: a case of Shenzhen, China. Frontiers of Environmental Science & Engineering in China , 2011, 5(2): 243–254
doi: 10.1007/s11783-010-0276-0
4 Jia H F, Dong N, Ma H T. Evaluation of aquatic rehabilitation technologies for polluted urban rivers and the case study of the Foshan Channel. Frontiers of Environmental Science & Engineering in China , 2010, 4(2): 213–220
doi: 10.1007/s11783-010-0023-6
5 Jia H F, Cheng S T. Spatial and dynamic simulation for Miyun Reservoirwaters in Beijing. Water Science and Technology , 2002, 46(11-12): 473–479
6 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
7 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
8 Jia H F, Kong M M, Guo Y, Zhao Q F. Water quality models for the Miyun reservoir in the EDSS framework. Journal of Tsinghua University Science and Technology , 2010, 50(9): 1383–1386
9 Hao T, Du P F, Gao Y. Water environment security indicator system for urban water management. Frontiers of Environmental Science & Engineering in China , 2012, 6(5): 678–691
10 Gao H S, Zhang Y Z. Water quality assessment and change analysis for main control sections of Jiulong River. Journal of Subtropical Resources and Environment , 2011, 6(2): 42–48 (in Chinese)
11 Chen N W, Hong H S, Zhang L P. Preliminary results concerning the spatiotem poralpattern and mechanism of nitrogen sources and exports in the Jiulong River watershed. Acta Scientiae Circumstantiae , 2009, 29(4): 830–839 (in Chinese)
12 Cao W, Hong H, Yue S. Modelling agricultural nitrogen contributions to the Jiulong River estuary and coastal water. Global and Planetary Change , 2005, 47(2): 111–121
13 Schuol J, Abbaspour K C. Using monthly weather statistics to generate daily data in a SWAT model application to West Africa. Ecological Modelling , 2007, 201(3): 301–311
14 Olivera F, Valenzuela M, Srinivasan R, Choi J, Cho H, Koka S, Agrawal A. ARCGIS‐SWAT: A geodata model and GIS interface for SWAT1. JAWRA Journal of the American Water Resources Association , 2006, 42(2): 295–309
15 Shen Z, Liao Q, Hong Q, Gong Y. An overview of research on agricultural non-point source pollution modelling in China. Separation and Purification Technology , 2012, 84(SI): 104–111
16 Grizzetti B, Bouraoui F, Granlund K, Rekolainen S, Bidoglio G. Modelling diffuse emission and retention of nutrients in the Vantaanjoki watershed (Finland) using the SWAT model. Ecological Modelling , 2003, 169(1): 25–38
17 Huang Z, Xue B, Pang Y. Simulation on stream flow and nutrient loadings in Gucheng Lake, Low Yangtze River Basin, based on SWAT model. Quaternary International , 2009, 208(1): 109–115
18 Bouraoui F, Benabdallah S, Jrad A, Bidoglio G. Application of the SWAT model on the Medjerda river basin (Tunisia). Physics and Chemistry of the Earth , Parts A/B/C, 2005, 30(8-10): 497–507
doi: 10.1016/j.pce.2005.07.004
19 Green C H, Van Griensven A. Auto calibration in hydrologic modeling: using SWAT2005 in small-scale watersheds. Environmental Modelling & Software , 2008, 23(4): 422–434
doi: 10.1016/j.envsoft.2007.06.002
20 Singh J, Knapp H V, Arnorld J G, Demissie M. Hydrological modeling of the Iroquois River Watershed using HSPF and SWAT. Water Resource Association , 2005, 41(2): 343–360
doi: 10.1111/j.1752-1688.2005.tb03740.x
21 Kim N W, Chung I M, Won Y S, Arnold J G. Development and application of the integrated SWAT-MODFLOW model. Journal of Hydrology (Amsterdam) , 2008, 356(1): 1–16
doi: 10.1016/j.jhydrol.2008.02.024
22 Hamrick J M. A Three-Dimensional Environmental Fluid Dynamics Computer Code: Theoretical and Computational Aspects. Gloucester, Massachusetts: Virginia Institute of Marine Science, the College of William and Mary , 1992, 1–63
23 Hamrick J M, Wu T S. Computational design and optimization of the EFDC /HEM3D surface water hydrodynamic and eutrophication models. In: Delic G, Wheller M F, eds. Next Generation Environmental Models and Computational Methods . hiladelphia: Society for Industrial and Applied Mathematics (SIAM), 1997, 143–156
24 Jin K R, Hamrick J H, Tisdale T. Application of three-dimensional hydrodynamic model for Lake Okeechobee. Journal of Hydraulic Engineering , 2000, 126(10): 758–771
doi: 10.1061/(ASCE)0733-9429(2000)126:10(758)
25 Johnson B H, Kim K W, Heath R E, Hsieh B B, Butler H L. Validation of three dimensional hydrodynamic model of Chesapeake Bay. Journal of Hydraulic Engineering , 1993, 119(1): 2–20
doi: 10.1061/(ASCE)0733-9429(1993)119:1(2)
26 Ambrose R B, Wool T A, Martin J L, Connolly J P, Schanz R W. WASP5.x, A Hydrodynamic and Water Quality Model Model Theory, User’s Manual, and Programmer’s Guide. Draft: Environmental Research Laboratory, US Environmental Protection Agency , 1993
27 Bierman V J, DePinto J V, Young T C, Rodgers P W, Martin S C, Raghunathan R, Hinz S C. Development and Validation of An Integrated Exposure Model for Toxic Chemicals in Green Bay, Lake Michigan. Michigan: the US Environmental Protection Agency , 1992
28 Huang J L, Zhou P, Zhou Z R, Huang Y L. Assessing the influence of land use and land cover datasets with different points in time and levels of detail on watershed modeling in the North River Watershed, China. International Journal of Environmental Research and Public Health , 2013, 10(1): 144–157
doi: 10.3390/ijerph10010144 pmid:23271303
29 Li Z Y, Du P F, Huang J L. Integrated Ecological-hydrodynamic Model for the Jiangdong Reservoir in Jiulong River. In: Biomedical Engineering and Biotechnology (iCBEB), 2012, Macao. Piscataway: IEEE Computer Society , 2012, 1534–1537
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