Skip to main content

Advertisement

Log in

Interactive Reservoir-Watershed Modeling Framework for Integrated Water Quality Management

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

Eutrophication is a serious water pollution problem in many lakes and reservoirs. One method of understanding the causes of eutrophication and devising strategies to address this phenomenon is watershed modeling. An integrated model is developed in this paper for simulating and evaluating the water quality protection strategies of reservoirs based on controlling the upstream point and non-point sources of pollution and also reservoir operation. To achieve this, Soil and Water Assessment Tool (SWAT) model is used for modeling of the surface runoff and transportation of pollutant load over the watershed area and then, the numerical model CE-Qual-W2 is used for simulating the reservoir water quality. These models are linked to simulate the transmission and distribution of water quality variables in the Seimare watershed-reservoir system, west part of Iran. After calibration of the models, different strategies for reduction of pollution over the watershed are simulated and ranked based on their efficiency in reducing the pollution load entering into the reservoir. Results show that completion and modernization of the sewage network and wastewater treatment plant of Kermanshah city as long as adopting some measures against the direct release of municipal wastewater into the Gharehsou River can reduce the pollution load by 40–50% as the best short term strategy. It is also found that in the long-term period, watershed management and decreasing local animal husbandry activities are the most effective measure for reducing the nutrient load entering Seimare reservoir, and thus need to be considered in the future watershed management policies and programs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Srinivasan R (2007) Modeling hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J Hydrol 333(2):413–430

    Article  Google Scholar 

  • Alexakis D, Tsihrintzis VA, Tsakiris G, Gikas GD (2016) Suitability of water quality indices for application in lakes in the Mediterranean. Water Resour Manag 30(5):1621–1633

    Article  Google Scholar 

  • Ali I, Bruen M (2016) Methodology and application of the combined SWAT-HSPF model. Environ Process. doi:10.1007/s40710-016-0167-x

    Google Scholar 

  • Arabi M, Govindaraju R, Hantush M (2006) Cost-effective allocation of watershed management practices using a genetic algorithm. Water Resour Res 42:W10429. doi:10.1029/2006WR004931

    Article  Google Scholar 

  • Arnold JG, Srinivasan R, Muttiah RS, Williams JR (1998) Large-area hydrologic modeling and assessment: part I. Model development. J American Water Resour Assoc 34(1):73–89

    Article  Google Scholar 

  • Artita KS, Kaini P, Nicklow JW, (2008) Generating alternative watershed-scale BMP designs with evolutionary algorithms. World Environmental and Water Resources Congress ASCE 2008 Ahupua'a, Hawaii

  • Barlund I, Kirkkala T, Malve O, Kämäri J (2007) Assessing SWAT model performance in the evaluation of management actions for the implementation of the water framework directive in a Finnish catchment. Environmental Modeling and Software 22(5):719–724

    Article  Google Scholar 

  • Bashiri-Atrabi H, Qaderi K, Rheinheimer DE, Sharifi E (2015) Application of harmony search algorithm to reservoir operation optimization. Water Resour Manag 29:5729. doi:10.1007/s11269-015-1143-3

    Article  Google Scholar 

  • Bathrellos GD, Gaki-Papanastassiou K, Skilodimou HD, Papanastassiou D, Chousianitis KG (2012) Potential suitability for urban planning and industry development by using natural hazard maps and geological - geomorphological parameters. Environ Earth Sci 66(2):537–548

    Article  Google Scholar 

  • Boskidis I, Gikas GD, Sylaios GK, Tsihrintzis VA (2012) Hydrologic and water quality modeling of lower Nestos River basin. Water Resour Manag 26(10):3023–3051

    Article  Google Scholar 

  • Chiu SK, Kuo JT (2006) Hsieh PH (2006) a model of optimal best management practices placement. World Environmental and Water Resource Congress, ACSE

    Google Scholar 

  • Coffey R, Benham B, Kline K, Wolfe ML, Cummins E (2015) Potential microbial load reductions required to meet existing freshwater recreational water quality standards for a selection of mid-century environmental change scenarios. Environ Process 2:609–629

    Article  Google Scholar 

  • Cole TM, Wells SA (2000) CE-QUAl-W2: a two-dimensional, laterally averaged, hydrodynamic and water quality model, version 3.0. Instruction report EL-2000, US Army engineering and research development center, Vicksburg

  • Fernandez FJ, Ponce RD, Blanco M, Rivera D, Vasquez F (2016) Water variability and the economic impacts on small-scale farmers. A farm risk-based integrated modeling approach. Water Resour Manag 30(4):1357–1373

    Article  Google Scholar 

  • Guse B, Pfannerstill M, Fohrer N (2015) Dynamic Modelling of land use change impacts on nitrate loads in rivers. Environ Process 2:575–592

    Article  Google Scholar 

  • Hsieh CD, Yang WF (2006) Study of total maximum daily load and non-point source pollution control strategies for reservoir watershed. Practice periodical of hazardous, toxic, and radioactive waste management, ASCE 10(3):134–143

    Article  Google Scholar 

  • Hsieh CD, Yang WF (2007) Optimal non-point source pollution control strategies for a reservoir watershed in Taiwan. J Environ Manag 85:908–917

    Article  Google Scholar 

  • Kaini P, Artita K, Nicklow JW (2008) Designing BMPs at a watershed-scale using SWAT and a genetic algorithm, World environmental and water resources Congress ASCE 2008. Ahupua'a, Hawaii

    Google Scholar 

  • Koch S, Bauwe A, Lennartz B (2013) Application of the SWAT model for a tile-drained lowland catchment in north-eastern Germany on Subbasin scale. Water Resour Manag 27(3):791–805

    Article  Google Scholar 

  • Kovács Á (2004) Modeling non-point phosphorus pollution with various methods. 8th international conference on diffuse/nonpoint pollution (ICDP), Kyoto. Japan 24:2004–2029

    Google Scholar 

  • Kuo JT, Wang YY, Lung WS (2006) A hybrid neural–genetic algorithm for reservoir water quality management. Water Res 40(7):1367–1376

  • Kuo JT, Hsieh MH, Lung WS, She N (2007) Using artificial neural network for reservoir eutrophication prediction. Ecol Model 200(1):171–177

    Article  Google Scholar 

  • Maier N, Dietrich J (2016) Using SWAT for strategic planning of basin scale irrigation control policies: a case study from a humid region in northern Germany. Water Resour Manag 30(9):3285–3298

    Article  Google Scholar 

  • Mankin KR, Wang SH, Koelliker JK, Huggins DG, deNoyelles FJ (2003) Watershed-lake quality modeling: verification and application. J Soil Water Conserv 58:188–197

    Google Scholar 

  • Maringanti C, Chaubey I, Popp J (2009) Development of a multiobjective optimization tool for the selection and placement of best management practices for nonpoint source pollution control. Water Resour Res 45(6)

  • Narsimlu B, Gosain AK, Chahar BR, Singh SK (2015) Srivastava PK (2016) SWAT model calibration and uncertainty analysis for Streamflow prediction in the Kunwari River basin, India. Using Sequential Uncertainty Fitting Environ Process 2:79–95

    Google Scholar 

  • Nash JE, Sutcliffe JV (1970a) River flow forecasting through conceptual models part I—A discussion of principles. J Hydrol 10(3):282–290

    Article  Google Scholar 

  • Nikolic VV, Simonovic SP (2015) Multi-method modeling framework for support of integrated water resources management. Environ Process 2:461–483

    Article  Google Scholar 

  • Panagopoulos GP, Bathrellos GD, Skilodimou HD, Martsouka FA (2012) Mapping urban water demands using multi-criteria analysis and GIS. Water Resour Manag 26(5):1347–1363

    Article  Google Scholar 

  • Pohlert T, Huisman JA, Breuer L, Frede HG (2005) Modelling of point and non-point source pollution of nitrate with SWAT in the river dill, Germany. Adv Geosci 5:7–12

    Article  Google Scholar 

  • Qi J, Li S, Li Q, Xing Z, Bourque CPA, Meng FR (2016) Assessing an enhanced version of SWAT on water quantity and quality simulation in regions with seasonal snow cover. Water Resour Manag 30(14):5021–5037

    Google Scholar 

  • Talebizadeh M, Morid S, Ayyoubzadeh SA, Ghasemzadeh M (2010) Uncertainty analysis in sediment load modeling using ANN and SWAT model. Water Resour Manag 24(9):1747–1761

    Article  Google Scholar 

  • Wang S, Huggins D, Frees L, Volkman C, Lim N, Baker D, Smith V (2005) Denoyelles F (2005) an integrated modeling approach to total watershed management: water quality and watershed assessment of Cheney reservoir. Kansas, USA, Water, Air, and Soil Pollution 164:1–19

    Article  Google Scholar 

  • Woodbury J, Shoemaker C, Cowan D, Easton Z (2009) A comparison of a SWAT model for the Cannonsville watershed with and without variable source area hydrology. World Environmental and Water Resources Congress 2009:1–5

    Google Scholar 

  • Wu J, Yu S, Zou R (2006) A water quality-based approach for watershed wide BMP strategies. Journal of the American Water Resources Association (JAWRA) 42(5):1193–1204

    Article  Google Scholar 

  • Yen H, Su YW, Wolfe JE, Chen ST, Hsu YC, Tseng WH, Brady DM, Jeong J, Arnold JG (2015a) Assessment of input uncertainty by seasonally categorized latent variables using SWAT. J Hydrol 531:685–695

    Article  Google Scholar 

  • Yen H, Jeong J, Feng Q, Deb D (2015b) Assessment of input uncertainty in SWAT using latent variables. Water Resour Manag 29(4):1137–1153

    Article  Google Scholar 

Download references

Acknowledgements

This research has been supported by the research grant No. 600/842, funded by Shahid Beheshti University, Tehran, Iran.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A . Moridi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yazdi, J., Moridi, A... Interactive Reservoir-Watershed Modeling Framework for Integrated Water Quality Management. Water Resour Manage 31, 2105–2125 (2017). https://doi.org/10.1007/s11269-017-1627-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-017-1627-4

Keywords

Navigation