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@article{f6580022d0f34976b7b78024cc5e8444,
title = "A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments",
publisher = "Springer",
author = "Lützhøft, {Hans-Christian Holten} and Erica Donner and Tonie Wickman and Eva Eriksson and Primož Banovec and Mikkelsen, {Peter Steen} and Anna Ledin",
year = "2012",
doi = "10.1007/s11356-011-0627-9",
volume = "19",
number = "4",
pages = "1119--1130",
journal = "Environmental science and pollution research international",
issn = "0944-1344",

}

RIS

TY - JOUR

T1 - A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments

A1 - Lützhøft,Hans-Christian Holten

A1 - Donner,Erica

A1 - Wickman,Tonie

A1 - Eriksson,Eva

A1 - Banovec,Primož

A1 - Mikkelsen,Peter Steen

A1 - Ledin,Anna

AU - Lützhøft,Hans-Christian Holten

AU - Donner,Erica

AU - Wickman,Tonie

AU - Eriksson,Eva

AU - Banovec,Primož

AU - Mikkelsen,Peter Steen

AU - Ledin,Anna

PB - Springer

PY - 2012

Y1 - 2012

N2 - Purpose Implementation of current European environmental legislation such as the Water Framework Directive requires access to comprehensive, well-structured pollutant source and release inventories. The aim of this work was to develop a Source Classification Framework (SCF) ideally suited for this purpose. Methods Existing source classification systems were examined by a multidisciplinary research team, and an optimised SCF was developed. The performance and usability of the SCF were tested using a selection of 25 chemicals listed as priority pollutants in Europe. Results The SCF is structured in the form of a relational database and incorporates both qualitative and quantitative source classification and release data. The system supports a wide range of pollution monitoring and management applications. The SCF functioned well in the performance test, which also revealed important gaps in priority pollutant release data. Conclusions The SCF provides a well-structured approach for European pollutant source and release classification and management. With further optimisation and demonstration testing, the SCF has the potential to be fully implemented throughout Europe.

AB - Purpose Implementation of current European environmental legislation such as the Water Framework Directive requires access to comprehensive, well-structured pollutant source and release inventories. The aim of this work was to develop a Source Classification Framework (SCF) ideally suited for this purpose. Methods Existing source classification systems were examined by a multidisciplinary research team, and an optimised SCF was developed. The performance and usability of the SCF were tested using a selection of 25 chemicals listed as priority pollutants in Europe. Results The SCF is structured in the form of a relational database and incorporates both qualitative and quantitative source classification and release data. The system supports a wide range of pollution monitoring and management applications. The SCF functioned well in the performance test, which also revealed important gaps in priority pollutant release data. Conclusions The SCF provides a well-structured approach for European pollutant source and release classification and management. With further optimisation and demonstration testing, the SCF has the potential to be fully implemented throughout Europe.

U2 - 10.1007/s11356-011-0627-9

DO - 10.1007/s11356-011-0627-9

JO - Environmental science and pollution research international

JF - Environmental science and pollution research international

SN - 0944-1344

IS - 4

VL - 19

SP - 1119

EP - 1130

ER -