Abstract
Design of treatment strategy considering the behavior of pollutant with respect to runoff hydrograph is important for effective management of storm runoff. In this study, a mathematical model for storm runoff management was developed. The model determines the storm runoff management strategy and the associated probability under the constraint of regulatory discharge limit, and can quantify the volume or fraction of a storm runoff that should be treated. The model application was demonstrated for total suspended solids (TSS) and benzo(a)pyrene (BaP) in urban storm runoff. The samples were collected from 15 storm runoff events in six impervious sites in Beijing urban area, and. For TSS, the probability that the whole runoff can be discharged without treatment was 46 %, and the whole runoff should be intercepted for treatment was 31 %. While under the constraint of the discharge limit for BaP, the dominant strategy was that the whole runoff should be intercepted for treatment, with a probability of 88 %. Compared with the treatment strategies, it was noted that the need for runoff treatment was more for BaP than TSS. This was because the pollution level of TSS was lower than BaP from the aspect of compliance with discharge limit. Because the most seriously contaminated and toxic pollutant should be taken as the primary indicator for runoff treatment, the treatment option for the study area should follow the strategies for BaP. This methodology may be applied for other pollutants in different watersheds.
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References
Abushandi E, Merkel B (2013) Modelling rainfall runoff relations using HEC-HMS and IHACRES for a single rain event in an arid region of Jordan. Water Resources Management 27:2391–2409
Ahlfeld DP, Minihane M (2004) Storm flow from first flush precipitation in storm water design. Journal of Irrigation and Drainage Engineering 130:269–276
Alva JAV, Estrada EG (2009) A generalization of Shapiro-Wilk’s test for multivariate normality. Communication Statistics Theory Methods 38:1870–1883
Athanasiadis K, Horn H, Helmreich B (2010) A field study on the first flush effect of copper roof runoff. Corrosion Science 52:21–29
Barrett ME, Irish LB, Malina JF, Charbeneau RJ (1998) Characterization of highway runoff in Austin, Texas area. Journal of Environmental Engineering 124:131–137
Bertrand-Krajewski JL, Chebbo G, Saget A (1998) Distribution of pollutant mass vs volume in stormwater discharges and the first flush phenomenon. Water Research 32:2341–2356
Bhattacharjya RK, Chaurasia S (2013) Geomorphology based semi-distributed approach for modelling rainfall-runoff process. Water Resources Management 27:567–579
Cantone J, Schmidt A (2011) Improved understanding and prediction of the hydrologic response of highly urbanized catchments through development of the Illinois Urban Hydrologic Model. Water Resources Research 47, W08538. doi:10.1029/2010WR009330
Chen CN, Tsai CH, Tsai CT (2011) Simulation of runoff and suspended sediment transport rate in a basin with multiple watersheds. Water Resources Management 25:793–816
Chen JY, Adams BJ (2007) A derived probability distribution approach to stormwater quality modeling. Advances in Water Resources 30:80–100
Cherif R, Bargaoui Z (2013) Regionalization of maximum annual runoff using hierarchical and trellis methods with topographic information. Water Resources Management 27:2947–2963
China EPA (1989) Water quality-determination of suspended substance (GB 11901-89). http://www.sepa.gov.cn/image20010518/3723.pdf, accessed Nov. 26, 2013.
Chow MF, Yusop Z, Mohamed M (2011) Quality and first flush analysis of stormwater runoff from a tropical commercial catchment. Water Science and Technology 63:1211–1216
Dutta D, Welsh WD, Vaze J, Kim SSH, Nicholls D (2012) A comparative evaluation of short-term stream flow forecasting using time series analysis and rainfall-runoff models in eWater Source. Water Resources Management 26:4397–4415
Ellouze-Gargouri E, Bargaoui Z (2012) Runoff estimation for an ungauged catchment using geomorphological instantaneous unit hydrograph (GIUH) and copulas. Water Resources Management 26:1615–1638
Hathaway JM, Hunt WF (2011) Evaluation of first flush for indicator bacteria and total suspended solids in urban stormwater runoff. Water, Air, and Soil Pollution 217:135–147
Hathaway JM, Tucker RS, Spooner JM, Hunt WF (2012) A traditional analysis of the first flush effect for nutrients in stormwater runoff from two small urban catchments. Water, Air, and Soil Pollution 223:5903–5915
Kayhanian M, Fruchtman BD, Gulliver JS, Montanaro C, Ranieri E, Wuertz S (2012) Review of highway runoff characteristics: comparative analysis and universal implications. Water Research 46:6609–6624
Kim LH, Kayhanian M, Zoh KD, Stenstrom MK (2005) Modeling of highway stormwater runoff. The Science of the Total Environment 348:1–18
Kostarelos K, Khan E, Callipo N, Velasquez J, Graves D (2011) Field study of catch basin inserts for the removal of pollutants from urban runoff. Water Resources Management 25:1205–1217
Krein A, Schorer M (2000) Road runoff pollution by polycyclic aromatic hydrocarbons and its contribution to river sediments. Water Research 34:4110–4115
Lee JH, Bang KW, Ketchum LH, Choe JS, Yu MJ (2002) First flush analysis of urban storm runoff. The Science of the Total Environment 293:163–175
Massoudieh A, Abrishamchi A, Kayhanian M (2008) Mathematical modeling of first flush in highway storm runoff using genetic algorithm. The Science of the Total Environment 398:107–121
Murakami M, Nakajima F, Furumai H (2004) Modelling of runoff behavior of particle-bound polycyclic aromatic hydrocarbons (PAHs) from roads and roofs. Water Research 38:4475–4483
Ouyang W, Guo B, Hao F, Huang H, Li J, Gong Y (2012) Modeling urban storm rainfall runoff from diverse underlying surfaces and application for control design in Beijing. Journal of Environmental Management 113:467–473
Ragas AMJ, Scheren PAGM, Konterman HI, Leuven RSEW, Vugteveen P, Lubberding HJ et al (2005) Effluent standards for developing countries: combining the technology- and water quality-based approach. Water Science and Technology 52:133–144
Roesner LA, Rowney AC (1996) National storm water quality regulations and standards. Journal of Hydraulic Research 34:841–856
Saget A, Chebbo C, Betrand JL (1996) The first flush in sewer systems. Water Science and Technology 33:101–108
Schriewer A, Horn H, Helmreich B (2008) Time focused measurements of roof runoff quality. Corrosion Science 50:384–391
Sharifi S, Massoudieh A, Kayhanian M (2011) A stochastic storm-water quality volume sizing method with first flush emphasis. Water Environment Research 83:2025–2035
Taebi A, Droste RL (2004) First flush pollution load of urban stormwater runoff. Journal of Environmental Engineering and Science 3:301–309
Teemusk A, Mander U (2011) The influence of green roofs on runoff water quality: a case study from Estonia. Water Resources Management 25:3699–3713
Vialle C, Sablayrolles C, Lovera M, Huau MC, Jacob S, Montrejaud-Vignoles M (2012) Water quality monitoring and hydraulic evaluation of a household roof runoff harvesting system in France. Water Resources Management 26:2233–2241
Wah BW, Wang T (1999) Efficient and adaptive Lagrange-multiplier methods for nonlinear continuous global optimization. Journal of Global Optimization 14:1–25
Walters SP, Thebo AL, Boehm AB (2011) Impact of urbanization and agriculture on the occurrence of bacterial pathogens and stx genes in coastal water bodies of central California. Water Research 45:1752–1762
Zhang W, Keller A, Wang XJ (2009a) Analytical modeling of polycyclic aromatic hydrocarbon loading and transport via road runoff in an urban region of Beijing, China. Water Resources Research 45, W01423. doi:10.1029/2008WR007004
Zhang W, Keller A, Yue DP, Wang XJ (2009b) Management of urban road runoff containing PAHs: probabilistic modeling and its application in Beijing, China. Journal of the American Water Resources Association 45:1009–1018
Zhang W, Ye YB, Tong YD, Ou LB, Hu D, Wang XJ (2011) Modeling time-dependent toxicity to aquatic organisms from pulsed exposure of PAHs in urban road runoff. Environmental Pollution 159:503–508
Zhao H, Li X, Wang X (2011) Heavy metal contents of road-deposited sediment along the urban-rural gradient around Beijing and its potential contribution to runoff pollution. Environmental Science and Technology 45:7120–7127
Zhu LZ, Chen BL, Wang J, Shen HX (2004) Pollution survey of polycyclic aromatic hydrocarbons in surface water of Hangzhou, China. Chemosphere 54:1085–1095
Acknowledgments
This study was supported by the Fundamental Research Funds for the Central Universities, and the Research Funds of Renmin University of China (13XNF028). The authors gratefully acknowledge Dr. Youbin Ye, Mr. Dapan Yue, Mr. Shucai Zhang, Miss Yating Shen and Dr. Jundong Hu for their great help on the field sampling and laboratory analysis.
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Information on the sampling sites and the hydrologic data for each sampled runoff event are provided in the Supplementary Material. (DOC 168 kb)
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Zhang, W., Zhu, Y. & Wang, X. A Modeling Method to Evaluate the Management Strategy of Urban Storm Runoff. Water Resour Manage 28, 541–552 (2014). https://doi.org/10.1007/s11269-013-0501-2
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DOI: https://doi.org/10.1007/s11269-013-0501-2