Estimating population served by sewage treatment works from readily available GIS data

Keller, V.; Fox, K.; Rees, H. G. ORCID: https://orcid.org/0000-0003-3300-0472; Young, A. R.. 2006 Estimating population served by sewage treatment works from readily available GIS data. Science of the Total Environment, 360 (1-3). 319-327. https://doi.org/10.1016/j.scitotenv.2005.08.043

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Abstract/Summary

Environmental risk assessment of household chemicals at the catchment scale requires an estimate of the load at individual Sewage Treatment Works (STWs). This can be achieved based upon population served and market consumption data. Although the population served is difficult to obtain, this paper shows that reasonable estimates can be made using readily available spatially referenced data. A new method is developed using STW data from the Exe and the Aire and Calder catchments and validated using 193 STWs within the Environment Agency's Anglian region. The estimated populations served were compared with available estimates of Population Equivalents (PEs). The population estimates were broadly similar to PEs for small works but agreement was lower for larger plants. The discrepancy for larger works is consistent with trade influent inclusion in the PE. The method is suitable for application to both rural areas and large urbanised areas, although the interpretation of corroborating data becomes increasingly difficult in very large urban areas serving more than one STW.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.1016/j.scitotenv.2005.08.043
Programmes:	CEH Programmes pre-2009 publications > Water
UKCEH and CEH Sections/Science Areas:	_ Hydrological Risks & Resources
ISSN:	0048-9697
Format Availability:	Electronic, Print
Additional Keywords:	Sewage treatment works, Population served, Urban coverage, Census coverage, Population equivalents, Water quality, Exe, Aire, Calder, Anglian
NORA Subject Terms:	Hydrology Data and Information
Date made live:	02 Jul 2007 08:45 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/381

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