A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments
Publication: Research - peer-review › Journal article – Annual report year: 2011
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A source classification framework supporting pollutant source mapping, pollutant release prediction, transport and load forecasting, and source control planning for urban environments. / Lützhøft, Hans-Christian Holten; Donner, Erica; Wickman, Tonie; Eriksson, Eva; Banovec, Primož; Mikkelsen, Peter Steen; Ledin, Anna.
In: Environmental science and pollution research international, Vol. 19, No. 4, 2012, p. 1119-1130.Publication: Research - peer-review › Journal article – Annual report year: 2011
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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
AU - Lützhøft,Hans-Christian Holten
AU - Donner,Erica
AU - Wickman,Tonie
AU - Eriksson,Eva
AU - Banovec,Primož
AU - Mikkelsen,Peter Steen
AU - Ledin,Anna
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
M3 - Journal article
VL - 19
SP - 1119
EP - 1130
JO - Environmental Science and Pollution Research
T2 - Environmental Science and Pollution Research
JF - Environmental Science and Pollution Research
SN - 0944-1344
IS - 4
ER -