Effects of farmyard manure application on dust emissions from arable soils

Münch, Steffen; Papke, Natalie; Thiel, Nadine; Nübel, Ulrich; Siller, Paul; Roesler, Uwe; Biniasch, Oliver; Funk, Roger; Amon, Thomas

doi:10.1016/j.apr.2020.06.007

Cited by 10 publications

(11 citation statements)

References 49 publications

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“…E. coli and S. aureus of poultry origin were found to be above background levels on the leaves of trees 35 m, but not 120 m, from occupied poultry houses (Theofel et al., 2020). Dust contaminated by ARB is also created after spreading of poultry litter and manure on land, with the resulting small soil particles travelling longer distances than regular soil in windy conditions (Münch et al., 2020; Thiel et al., 2020), similar to the dust‐borne spread of MDR monophasic Salmonella Typhimurium from outdoor pig ranges to enclosed poultry farms observed in UK after prolonged dry weather (APHA/Defra, 2019, 2020).…”

Section: Assessmentmentioning

confidence: 99%

Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain

Koutsoumanis¹,

Allende²,

Álvarez‐Ordóñez³

et al. 2021

EFS2

115

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The role of food-producing environments in the emergence and spread of antimicrobial resistance (AMR) in EU plant-based food production, terrestrial animals (poultry, cattle and pigs) and aquaculture was assessed. Among the various sources and transmission routes identified, fertilisers of faecal origin, irrigation and surface water for plant-based food and water for aquaculture were considered of major importance. For terrestrial animal production, potential sources consist of feed, humans, water, air/dust, soil, wildlife, rodents, arthropods and equipment. Among those, evidence was found for introduction with feed and humans, for the other sources, the importance could not be assessed. Several ARB of highest priority for public health, such as carbapenem or extended-spectrum cephalosporin and/or fluoroquinolone-resistant Enterobacterales (including Salmonella enterica), fluoroquinolone-resistant Campylobacter spp., methicillin-resistant Staphylococcus aureus and glycopeptide-resistant Enterococcus faecium and E. faecalis were identified. Among highest priority ARGs bla CTX-M , bla VIM , bla NDM , bla OXA-48like , bla OXA-23 , mcr, armA, vanA, cfr and optrA were reported. These highest priority bacteria and genes were identified in different sources, at primary and post-harvest level, particularly faeces/manure, soil and water. For all sectors, reducing the occurrence of faecal microbial contamination of fertilisers, water, feed and the production environment and minimising persistence/recycling of ARB within animal production facilities is a priority. Proper implementation of good hygiene practices, biosecurity and food safety management systems is very important. Potential AMR-specific interventions are in the early stages of development. Many data gaps relating to sources and relevance of transmission routes, diversity of ARB and ARGs, effectiveness of mitigation measures were identified. Representative epidemiological and attribution studies on AMR and its effective control in food production environments at EU level, linked to One Health and environmental initiatives, are urgently required.

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Section: Assessmentmentioning

confidence: 99%

Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain

Koutsoumanis¹,

Allende²,

Álvarez‐Ordóñez³

et al. 2021

EFS2

115

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“…Here, we use Itpas to examine the role of the diurnal ABL development in the dispersion of soil dust and organic manure dust particles, which were emitted mechanically during typical field work: the application of dry fertiliser with a spreader and the subsequent incorporation of the fertiliser with a cultivator. The field work was carried out in the framework of the SOARiAL (Spread of antibiotics resistance in an agrarian landscape) project (Thiel et al, 2020), during which airborne particle concentrations were measured as described by Münch et al (2020).…”

Section: Model Physicsmentioning

confidence: 99%

A new Lagrangian in-time particle simulation module (Itpas v1) for atmospheric particle dispersion

et al. 2021

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Abstract. Trajectory models are intuitive tools for airflow studies. But in general, they are limited to non-turbulent, i.e. laminar flow, conditions. Therefore, trajectory models are not particularly suitable for investigating airflow within the turbulent atmospheric boundary layer. To overcome this, a common approach is handling the turbulent uncertainty as a random deviation from a mean path in order to create a statistic of possible solutions which envelops the mean path. This is well known as the Lagrangian particle dispersion model (LPDM). However, the decisive factor is the representation of turbulence in the model, for which widely used models such as FLEXPART and HYSPLIT use an approximation. A conceivable improvement could be the use of a turbulence parameterisation approach based on the turbulent kinetic energy (TKE) at high temporal resolution. Here, we elaborated this approach and developed the LPDM Itpas, which is coupled online to the German Weather Service's mesoscale weather forecast model COSMO. It benefits from the prognostically calculated TKE as well as from the high-frequency wind information. We demonstrate the model's applicability for a case study on agricultural particle emission in eastern Germany. The results obtained are discussed with regard to the model's ability to describe particle transport within a turbulent boundary layer. Ultimately, the simulations performed suggest that the newly introduced method based on prognostic TKE sufficiently represents the particle transport.

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“…Here, we use Itpas to examine the role of the diurnal ABL development to the dispersion of soil dust and organic manure dust particles, which were emitted mechanically during typical field work: The application of dry fertiliser with a spreader and the subsequent incorporation of the fertiliser with a cultivator. The field work was carried out in the framework of the SOARiAL (Spread of antibiotics resistance in an agrarian landscape) project (Thiel et al, 2020), during which airborne particle concentrations were measured as described by Münch et al (2020).…”

Section: Model Physicsmentioning

confidence: 99%

“…The experiment took place at an agricultural field near Müncheberg, Germany approximately 50 km east of Berlin, on 31 May 2017 (Münch et al, 2020;Thiel et al, 2020). During this day, the weather over east Germany and west Poland was dry with some shallow cumulus clouds.…”

Section: Field Experimentsmentioning

confidence: 99%

“…Our approach makes use of the three-dimensional TKE-based turbulence scheme (Doms et al, 2011), which provides the prognostic TKE, and the horizontal and vertical diffusion coefficient of momentum. We further developed a dust emission scheme accounting for mechanical dust emission in agriculture based on measurement data (Münch et al, 2020) and implemented a probabilistic dry deposition scheme (Panitz et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

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A new Lagrangian in-time particle simulation module (Itpas v1) for atmospheric particle dispersion

Faust¹,

Wolke²,

Münch³

et al. 2020

Preprint

Self Cite

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Abstract. Trajectory models are intuitive tools for airflow studies. But in general, they are limited to non-turbulent, i.e. laminar flow conditions. Therefore, trajectory models are not particularly suitable for investigating airflow within the turbulent atmospheric boundary layer. To overcome this, a common approach is handling the turbulent uncertainty as a random deviation from a mean path in order to create a statistic of possible solutions which envelops the mean path. This is well known as Lagrangian particle dispersion model (LPDM). However, the decisive factor is the representation of turbulence in the model, for which widely used models such as FLEXPART and HYSPLIT use an approximation. A conceivable improvement can be using a turbulence parameterisation approach based on the turbulent kinetic energy (TKE) on high temporal resolution. Here, we elaborated this approach and developed the LPDM Itpas, which is online coupled to the German Weather Service's mesoscale weather forecast model COSMO. It allows for benefiting from the prognostically calculated TKE as well as from the high-frequent wind information. We exemplary demonstrate the model's applicability for a case study on agricultural particle emission in Eastern Germany. The results obtained are discussed with regard to the model's ability to describe particle transport within a turbulent boundary layer. Ultimately, the simulations performed suggest that the newly introduced method based on prognostic TKE sufficiently represents the particle transport.

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Effects of farmyard manure application on dust emissions from arable soils

Cited by 10 publications

References 49 publications

Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain

Role played by the environment in the emergence and spread of antimicrobial resistance (AMR) through the food chain

A new Lagrangian in-time particle simulation module (Itpas v1) for atmospheric particle dispersion

A new Lagrangian in-time particle simulation module (Itpas v1) for atmospheric particle dispersion

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