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Assessment of rainfall influence over water quality effluent of an urban catchment: A data driven approach

  • S. Sandoval
  • , A. Torres
  • , M. Duarte
  • , A. Velasco

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

Experience has shown the important influence of rainstorm water in the arrival of pollutants to receiving water bodies. This paper presents an identification of rain gauge stations and rainstorm variables with influence over water quality parameters such as Temperature, Conductivity, pH and COD, measured in the effluent of an urban catchment. Fourteen rainfall events registered by eight rain gauge stations within or in the proximity of the studied catchment (El Salitre Basin, Bogotá, Colombia) were analysed by the use of correlation tests and Kernel Classificatory methods. Some sensitive water quality parameters to rainfall (maximum rainfall height, mean of height, total height; during a rainstorm event) were identified (pH, temperature, conductivity and settleable solids). Correlations were significant mainly for two rain gauge stations in the proximity (about 5 km) of the effluent and two others near the eastern mountains of the city (zone with high slopes).

Original languageEnglish
Pages (from-to)116-126
Number of pages11
JournalUrban Water Journal
Volume11
Issue number2
DOIs
StatePublished - Feb 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • classification methods
  • correlation tests
  • data driven
  • precipitation
  • urban water pollution

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