Einzeltreffer — DigiBib

This paper examines whether multiple regression analysis and neural network models can be applied successfully for the indirect prediction of the runoff treatment performance with water quality indicator variables in an experimental storm water detention system rig. Five biologically mature experimental storm water detention systems with different designs treating concentrated gully pot liquor (spiked with dog droppings) were assessed. The systems were located on The King's Buildings campus at The University of Edinburgh and were monitored for a period of 18 months. Multiple regression analyses indicated a relatively successful prediction of the biochemical oxygen demand and total suspended solids for most systems, but due to a relatively weak correlation between the predictors and both microbial indicators, multiple regression analyses were not applied for the prediction of intestinal enterococci and total coliform colony-forming units. However, artificial neural network models predicted microbial counts relatively well for most detention systems.

Titel:	Assessing Storm Water Detention Systems Treating Road Runoff with an Artificial Neural Network Predicting Fecal Indicator Organisms
Autor/in / Beteiligte Person:	KAZEMI YAZDI, S ; SCHOLZ, M
Link:	Volltext (PDF) View record from PASCAL Archive
Zeitschrift:	Water, air and soil pollution, Jg. 206 (2010), Heft 1-4, S. 35-47
Veröffentlichung:	Dordrecht: Springer, 2010
Medientyp:	academicJournal
Umfang:	print, 1 p
ISSN:	0049-6979 (print)
Schlagwort:	Europe Europa Grande Bretagne Great Britain Gran Bretaña Royaume-Uni United Kingdom Reino Unido Ecosse Scotland Escocia Agronomy, agriculture, phytopathology Agronomie, agriculture, phytopathologie Ecotoxicology Ecotoxicologie Environment Environnement Pollution Soil science, pedology Science du sol, pédologie Sciences exactes et technologie Exact sciences and technology Sciences appliquees Applied sciences Traitement et pollution des eaux Water treatment and pollution Pollution des eaux naturelles Natural water pollution Eaux de pluie, ruissellement et autres Rainwaters, run off water and others Eaux usées Wastewaters Eaux usées de toute autre origine Other wastewaters Sciences biologiques et medicales Biological and medical sciences Sciences biologiques fondamentales et appliquees. Psychologie Fundamental and applied biological sciences. Psychology Biotechnologie Biotechnology Applications et implications industrielles. Aspects économiques Industrial applications and implications. Economical aspects Environnement et pollution Environment and pollution Epuration biologique des eaux Biological treatment of waters Code bonne pratique Code of practice Coliforme Coliforms Contamination biologique Biological contamination Contaminación biológica DBO Biological oxygen demand Eau ruissellement Runoff water Escorrentía Epuration biologique Biological purification Depuración biológica Epuration eau usée Waste water purification Depuración aguas servidas Microbiologie Microbiology Microbiología Modèle prévision Forecast model Modelo previsión Modèle statistique Statistical model Modelo estadístico Pathogène Pathogenic Patógeno Performance Rendimiento Qualité eau Water quality Calidad agua Régression multiple Multiple regression Regresión múltiple Réseau neuronal Neural network Red neuronal Surverse orage Storm water Agua lluvia Zone urbaine Urban area Zona urbana Artificial neural network Best management practice Biochemical oxygen demand Multiple regression analyses Runoff Total coli forms Subject Geographic: Europe Europa Grande Bretagne Great Britain Gran Bretaña Royaume-Uni United Kingdom Reino Unido Ecosse Scotland Escocia
Sonstiges:	Nachgewiesen in: PASCAL Archive Sprachen: English Original Material: INIST-CNRS Document Type: Article File Description: text Language: English Author Affiliations: Institute for Infrastructure and Environment, School of Engineering, The University of Edinburgh, William Rankine Building, The King's Buildings, Edinburgh EH9 3JL Scotland, United Kingdom Rights: Copyright 2015 INIST-CNRS ; CC BY 4.0 ; Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS Notes: Biotechnology ; Pollution

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Assessing Storm Water Detention Systems Treating Road Runoff with an Artificial Neural Network Predicting Fecal Indicator Organisms