Synthetic Pollutograph by Prediction Indices: An Evaluation in Several Urban Sub-Catchments

Juan T. García, Pablo Espín-Leal, Antonio Vigueras-Rodríguez, José M. Carrillo and Luis G. Castillo
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Juan T. García: Hidr@m Group, Department of Civil Engineering, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, Spain
Pablo Espín-Leal: Hidr@m Group, Department of Civil Engineering, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, Spain
Antonio Vigueras-Rodríguez: Hidr@m Group, Department of Civil Engineering, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, Spain
José M. Carrillo: Hidr@m Group, Department of Civil Engineering, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, Spain
Luis G. Castillo: Hidr@m Group, Department of Civil Engineering, Universidad Politécnica de Cartagena, Paseo Alfonso XIII, 52, 30203 Cartagena, Spain

Sustainability, 2018, vol. 10, issue 8, 1-17

Abstract: A generalized methodology applicable to any urban sub-catchment to calculate the pollution curve due to combined sewer overflows would help to implement integrated management policies to reduce urban impacts on the environment. An existing methodology to predict the pollutographs associated to rainfall events is tested in five different sub-catchments with very different pluviometry. Ninety-three rainfall events have been considered by measuring the in-sewer turbidity along the runoff episodes. Such data is then evaluated to obtain two prediction indices: the time to peak of pollutograph I TPP , and the maximum turbidity concentration I CMAX . These indices may be used with linear regressions to calculate the characteristics of pollutographs, such as the time to the peak, TPP , the maximum concentration of turbidity, C MAXtb , and the time to descent, TDP . These parameters allow to estimate the pollutographs of a sub-catchment. The comparison between pollutographs measured in the Ensanche sub-catchment and those calculated with the methodology shows a good agreement in terms of the root mean square deviation between samples and estimated values with the model proposed. Hence, the methodology could be a key way to find synthetic pollutographs for any sub-catchment.

Keywords: combined sewer overflow (CSO); sewer system; turbidity; pollution prediction indices; synthetic pollutographs (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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