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Publication type:	Working paper – expertise – study
Title:	Validierung der Schweizer Ammoniak-Immissionskarte 2010
Authors:	Locher, René
DOI:	10.21256/zhaw-125
Extent:	33
Issue Date:	2014
Series:	IDP Environmetrics
Series volume:	5
Publisher / Ed. Institution:	ZHAW Zürcher Hochschule für Angewandte Wissenschaften
Publisher / Ed. Institution:	Winterthur
ISBN:	978-3-905745-75-7
Language:	German
Subjects:	Immissionskarte; Luftqualität; Robuste Regression; Meteobereinigung; Adjusting for meteorological effects; Air quality; Map of air pollution; Robust regression
Subject (DDC):	363: Environmental and security problems
Abstract:	The efficacy of actions taken in order to reduce the ammonia emissions is monitored by measuring ambient concentrations of ammonia. Since 1999, the Federal Office of Environment (FOEN) and the Cantons have been funding a program for measuring ambient ammonia concentrations using passive samplers. Simultaneously, Meteotest has been mandated by FOEN to map periodically the ammonia concentration in Switzerland using physical models. The aim of this project was to compare the map 2010 of ambient ammonia concentrations with the annual mean values of the meteorologically adjusted measured concentrations of 2010. This task has been carried out in two steps: Statistical model I adjusts the ambient ammonia concentrations for weather conditions. Statistical model II models the systematic deviation of the map value from the corresponding adjusted measured concentration as a function of different local properties: elevation, standard deviation of elevation within a perimeter of 300 meters, original concentration on the map and region. This model was then used to correct the map for these systematic errors. However, choosing measurement locations which are more representative with respect to elevation and region could further improve model II. Immissionsmessungen von Ammoniak sind ein wichtiges Instrument für die Erfolgskontrolle der getroffenen Massnahmen zur Reduktion der Ammoniak-Emissionen. Seit Mitte 1999 finanzieren deshalb das Bundesamt für Umwelt (BAFU) und die Kantone Ammoniak-Messungen mittels Passivsammlern. Gleichzeitig beauftragte das BAFU Meteotest, mittels physikalischen Modellen regelmässig Karten über die Ammoniakkonzentration in der Schweiz zu berechnen. Ziel dieses Projekts war ein Vergleich der Konzentrationen gemäss Ammoniak-Karte 2010 mit den Jahresmitteln 2010 der meteobereinigten Messungen. Die Analyse wurde zweistufig durchgeführt. Das statistische Modell I beschreibt wie die Immissionen von der Witterung abhängen, so dass meteobereinigte Jahresmittelwerte berechnet werden konnten. Im statistischen Modell II wurde anschliessend die systematische Abweichung der Kartenkonzentration vom meteobereinigten Jahresmittelwert der gemessenen Konzentration als Funktion weiterer Einflussgrössen modelliert: Höhe über Meer, Standardabweichung der Höhen im Umkreis von 300m, Kartenkonzentrationen, Region. Mit diesem Modell konnte anschliessend die Karte korrigiert werden. Allerdings würde eine repräsentativere Auswahl der Standorte der Messungen in Bezug auf die Höhe über Meer und der Regionen die statistische Korrektur mittels Modell II noch weiter verbessern. The efficacy of actions taken in order to reduce the ammonia emissions is monitored by measuring ambient concentrations of ammonia. Since 1999, the Federal Office of Environment (FOEN) and the Cantons have been funding a program for measuring ambient ammonia concentrations using passive samplers. Simultaneously, Meteotest has been mandated by FOEN to map periodically the ammonia concentration in Switzerland using physical models. The aim of this project was to compare the map 2010 of ambient ammonia concentrations with the annual mean values of the meteorologically adjusted measured concentrations of 2010. This task has been carried out in two steps: Statistical model I adjusts the ambient ammonia concentrations for weather conditions. Statistical model II models the systematic deviation of the map value from the corresponding adjusted measured concentration as a function of different local properties: elevation, standard deviation of elevation within a perimeter of 300 meters, original concentration on the map and region. This model was then used to correct the map for these systematic errors. However, choosing measurement locations which are more representative with respect to elevation and region could further improve model II.
URI:	https://digitalcollection.zhaw.ch/handle/11475/125
Departement:	School of Engineering
Organisational Unit:	Institute of Data Analysis and Process Design (IDP)
Appears in collections:	IDP Environmetrics

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