Ecosystem-based management of a Mediterranean urban wastewater system: A sensitivity analysis of the operational degrees of freedom.
Urban wastewater systems discharge organic matter, nutrients and other pollutants (including toxic substances) to receiving waters, even after removing more than 90% of incoming pollutants from human activities. Understanding their interactions with the receiving water bodies is essential for the im...
| Publicado en: | Journal of Environmental Management Vol. 143; pp. 80 - 88 |
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| Autores principales: | , |
| Formato: | Artículo |
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Academic Press Inc.
Oct2014
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=96582691&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 96582691 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 03014797 EMJ jtl: Journal of Environmental Management issn: 03014797 maglogo: N pubinfo: dt: Oct2014 vid: 143 pid: 735 pub: Academic Press Inc. artinfo: ui: 96582691 10.1016/j.jenvman.2014.04.021 ppf: 80 ppct: 8 formats: tig: atl: Ecosystem-based management of a Mediterranean urban wastewater system: A sensitivity analysis of the operational degrees of freedom. aug: au: Corominas, Lluís Neumann, Marc B. affil: Catalan Institute for Water Research (ICRA), Parc científic i tecnològic de la UdG, Edifici H2O, Emili Grahit 101, 17003 Girona, Spain Basque Centre for Climate Change, Alameda Urquijo, 4 - 4, 48008 Bilbao, Spain IKERBASQUE, Basque Foundation for Science, 48011 Bilbao, Spain su: Spain Water pollution Pollution Water quality management Sewage disposal plants Wastewater treatment Sewage purification Management sug: subj: Water pollution Pollution Spain Sewage Treatment Facilities Waste treatment and disposal Water and Sewer Line and Related Structures Construction Solid Waste Landfill Administration of Air and Water Resource and Solid Waste Management Programs Water quality management Sewage disposal plants Wastewater treatment Sewage purification Management keyword: Activated sludge model (ASM) Consorci per a la Defensa de la Conca del Riu Besòs (CDCRB) Continuously Stirred Tank Reactor (CSTR) Dissolved Oxygen (DO) Integrated water management Maximum ammonium concentration (NH4 + max) Minimum dissolved oxygen concentration (DOmin) Morris screening Operational variables (X) Probability density function (PDF) River River section (Riv) River Water Quality Model (RWQM) Standardized Regression Coefficient (SRC) Standardized Regression Coefficients Urban wastewater systems (UWWS) Wastewater treatment plant Wastewater treatment plant (WWTP) Water quality variable (Y) Activated sludge model (ASM) Consorci per a la Defensa de la Conca del Riu Besòs (CDCRB) Continuously Stirred Tank Reactor (CSTR) Dissolved Oxygen (DO) Integrated water management Maximum ammonium concentration (NH4 + max) Minimum dissolved oxygen concentration (DOmin) Morris screening Operational variables (X) Probability density function (PDF) River River section (Riv) River Water Quality Model (RWQM) Standardized Regression Coefficient (SRC) Standardized Regression Coefficients Urban wastewater systems (UWWS) Wastewater treatment plant Wastewater treatment plant (WWTP) Water quality variable (Y) ab: Urban wastewater systems discharge organic matter, nutrients and other pollutants (including toxic substances) to receiving waters, even after removing more than 90% of incoming pollutants from human activities. Understanding their interactions with the receiving water bodies is essential for the implementation of ecosystem-based management strategies. Using mathematical modeling and sensitivity analysis we quantified how 19 operational variables of an urban wastewater system affect river water quality. The mathematical model of the Congost system (in the Besòs catchment, Spain) characterizes the dynamic interactions between sewers, storage tanks, wastewater treatment plants and the river. The sensitivity analysis shows that the use of storage tanks for peak shaving and the use of a connection between two neighboring wastewater treatment plants are the most important factors influencing river water quality. We study how the sensitivity of the water quality variables towards changes in the operational variables varies along the river due to discharge locations and river self-purification processes. We demonstrate how to use the approach to identify interactions and how to discard non-influential operational variables. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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