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Methodology for Measurement of Ammonia Emissions from Intensive Pig Farming

Author

Listed:
  • Pavel Kriz

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic
    Department of Applied Physics and Technology, Faculty of Education, University of South Bohemia, Jeronymova 10, 371 15 Ceske Budejovice, Czech Republic)

  • Radim Kunes

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic)

  • Lubos Smutny

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic)

  • Pavel Cerny

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic
    Department of Applied Physics and Technology, Faculty of Education, University of South Bohemia, Jeronymova 10, 371 15 Ceske Budejovice, Czech Republic)

  • Zbynek Havelka

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic)

  • Pavel Olsan

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic)

  • Maohua Xiao

    (College of Engineering, Nanjing Agricultural University, Nanjing 210031, China)

  • Radim Stehlik

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic)

  • Antonin Dolan

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic)

  • Petr Bartos

    (Department of Agricultural Machinery and Services, Faculty of Agriculture, University of South Bohemia, Studentska 1668, 370 05 Ceske Budejovice, Czech Republic
    Department of Applied Physics and Technology, Faculty of Education, University of South Bohemia, Jeronymova 10, 371 15 Ceske Budejovice, Czech Republic)

Abstract

Determination of ammonia (NH 3 ) emissions for intensive livestock facilities (pork, poultry) is important from both a regulatory and a research point of view. Buildings housing livestock are a large source of ammonia emissions from the agriculture sector. However, measurements to determine emissions can be time-consuming and costly. Therefore, it is essential to find a suitable methodology for monitoring NH 3 . The methodology for determining NH 3 emissions is legislatively unified in terms of sampling methodology, including sampling time (24 h), sampling points (input/output), number of sampling days, and their distribution during the year, and to determine only a general calculation of the annual average NH 3 emissions. For this reason, the researchers chose different approaches for the calculation of NH 3 emissions, and these approaches are not unified. Based on accurate monitoring and created models, the authors proposed a methodology for calculation of NH 3 emissions, which divides the 24 h measurement into time windows (30 min), from which the arithmetic mean and standard deviation are determined, and the total emissions for one year is determined. The chosen time windows for the partial calculation are important from the point of view of reflecting the microclimatic conditions inside the stable and the device limits for sampling the NH 3 concentration and airflow.

Suggested Citation

  • Pavel Kriz & Radim Kunes & Lubos Smutny & Pavel Cerny & Zbynek Havelka & Pavel Olsan & Maohua Xiao & Radim Stehlik & Antonin Dolan & Petr Bartos, 2021. "Methodology for Measurement of Ammonia Emissions from Intensive Pig Farming," Agriculture, MDPI, vol. 11(11), pages 1-15, October.
  • Handle: RePEc:gam:jagris:v:11:y:2021:i:11:p:1073-:d:669082
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