Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 498564
Title Evaluation of sampling strategies for estimating ammonia emission factors for pig fattening facilities
Author(s) Ulens, Tim; Daelman, Matthijs R.J.; Mosquera Losada, Julio; Millet, Sam; Loosdrecht, Mark C.M. van; Volcke, Eveline I.P.; Langenhove, Herman Van; Demeyer, Peter
Source Biosystems Engineering 140 (2015). - ISSN 1537-5110 - p. 79 - 90.
DOI http://dx.doi.org/10.1016/j.biosystemseng.2015.09.009
Department(s) LR - Veehouderij en omgeving
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) Ammonia - Animal housing - Emission factor - Monitoring - Pig husbandry - Sampling strategy
Abstract

Determining ammonia emission factors (EF) for fattening pig facilities is important from both a regulatory and a research point of view. However, measurements to determine an EF can be time consuming and costly. Several reduced sampling strategies were developed in the past to reduce the costs and measuring time, by taking into account parameters that influence NH3 emissions. A methodology to evaluate the precision and accuracy of estimated EFs solely as a function of the sampling frequency and strategy is demonstrated. This evaluation was done by using two long-term, high frequency datasets which both contained measurements during two consecutive pig fattening periods. These datasets were subjected to simulated sampling strategies. Long-term, low-frequency grab sampling proved to be more accurate than short-term monitoring. Repetitive short-term sampling events result in increased precision, but as this entails higher investment in time and money it is imperative to strike the balance between desired precision and available resources. A method to help as set guidelines to decide upon the number of short-term sampling events or the length of a long-term, low-frequency monitoring strategy is presented.

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