ASSET project: assessing sustainable urban drainage system (SUDS) efficiency to reduce urban runoff water contamination

Abstract. Increase of population in the current climate change scenario requires to ensure the quality of groundwater available as well as to control possible incomes of pollution into the subsurface system. The objective of this work was to evaluate the current quality of groundwater and the risk of infiltration of surface contaminants into the aquifers customizing the DRASTIC method including potential flood areas and areas with high risk of surface pollution. Hydrogeological, hydrochemical and isotopic data compiled and measured show the aquifer behavior and the main attenuation and degradation of contaminants. The vulnerability to contamination of Barcelona aquifers by direct surface contaminants is relatively low considering flood areas and traffic. However, there is a relevant area where this risk is relatively high. Nevertheless, it is required further analyses considering the drainage network of the city including as well the geometry of Sustainable Urban Drainage Systems (SUDS) already installed. The knowledge of the aquifer hydrogeological characteristics and its quality together with the identification of vulnerable to contamination areas may lead to improve the installation of SUDS, reducing the input of contaminants through these infrastructures. The implementation of this methodology aims to facilitate water users and urban managers to control their potential negative effects on the receiving water body. In addition, the outcomes of its application may be used to optimize the groundwater management in the city.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
ASSET project: assessing sustainable urban drainage system (SUDS) efficiency to reduce urban runoff water contamination ; volume:59 ; year:2022 ; pages:37-44 ; extent:8
Advances in geosciences ; 59 (2022), 37-44 (gesamt 8)

Creator
Scheiber, Laura
Teixidó, Marc
Criollo, Rotman
Labad, Francesc
Vázquez-Suñé, Enric
Izquierdo, María
Chesa Marro, María José
de Castro, Daniel

DOI
10.5194/adgeo-59-37-2022
URN
urn:nbn:de:101:1-2022112404371734040417
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:34 AM CEST

Data provider

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Associated

  • Scheiber, Laura
  • Teixidó, Marc
  • Criollo, Rotman
  • Labad, Francesc
  • Vázquez-Suñé, Enric
  • Izquierdo, María
  • Chesa Marro, María José
  • de Castro, Daniel

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