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

Author

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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)

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.

Suggested Citation

  • Juan T. García & Pablo Espín-Leal & Antonio Vigueras-Rodríguez & José M. Carrillo & Luis G. Castillo, 2018. "Synthetic Pollutograph by Prediction Indices: An Evaluation in Several Urban Sub-Catchments," Sustainability, MDPI, vol. 10(8), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:8:p:2634-:d:160190
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    References listed on IDEAS

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    1. Maria Di Modugno & Andrea Gioia & Angela Gorgoglione & Vito Iacobellis & Giovanni La Forgia & Alberto F. Piccinni & Ezio Ranieri, 2015. "Build-Up/Wash-Off Monitoring and Assessment for Sustainable Management of First Flush in an Urban Area," Sustainability, MDPI, vol. 7(5), pages 1-21, April.
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    Cited by:

    1. Juan T. García & Juan M. García-Guerrero & José M. Carrillo & Álvaro Sordo-Ward & Luis Altarejos-García & Pedro D. Martínez-Solano & Francisco-Javier Pérez de la Cruz & Antonio Vigueras-Rodriguez & Lu, 2020. "Sanitation Network Sulfide Modeling as a Tool for Asset Management. The Case of the City of Murcia (Spain)," Sustainability, MDPI, vol. 12(18), pages 1-19, September.

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