Experimental investigation of vegetative environment buffers in reducing particulate matters emitted from ventilated poultry house

Guo, Li; Ma, Shuli; Zhao, Dongsen; Zhao, Bo; Xu, Bingfang; Wu, Jing; Jin, Tengchuan; Chen, Donghui; Ma, Yunhai; Li, Zhenjiang; Chang, Zhiyong

doi:10.1080/10962247.2019.1598518

Cited by 8 publications

(2 citation statements)

References 26 publications

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“…We included EVI, AGB, and canopy height data to capture the structure of the vegetation around the farms; however, these variables were not significant. Given the coarse spatial resolution used in this study, and the benefits of using vegetation buffers to mitigate odor and pathogen emission and introduction ( 1 , 72 , 74 ), we remark that further exploration into the use of remotely sensed data to delineate vegetation buffers is warranted since the availability of imagery from satellites with high temporal and spatial resolution continues to become more accessible. Lastly, a previous study found the slope of the terrain to be associated with lower PRRSV incidence, with an elevation of 61 meters from sea level determined to be a safe range ( 1 ).…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States

et al. 2023

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Porcine reproductive and respiratory syndrome virus (PRRSV) remains widely distributed across the U.S. swine industry. Between-farm movements of animals and transportation vehicles, along with local transmission are the primary routes by which PRRSV is spread. Given the farm-to-farm proximity in high pig production areas, local transmission is an important pathway in the spread of PRRSV; however, there is limited understanding of the role local transmission plays in the dissemination of PRRSV, specifically, the distance at which there is increased risk for transmission from infected to susceptible farms. We used a spatial and spatiotemporal kernel density approach to estimate PRRSV relative risk and utilized a Bayesian spatiotemporal hierarchical model to assess the effects of environmental variables, between-farm movement data and on-farm biosecurity features on PRRSV outbreaks. The maximum spatial distance calculated through the kernel density approach was 15.3 km in 2018, 17.6 km in 2019, and 18 km in 2020. Spatiotemporal analysis revealed greater variability throughout the study period, with significant differences between the different farm types. We found that downstream farms (i.e., finisher and nursery farms) were located in areas of significant-high relative risk of PRRSV. Factors associated with PRRSV outbreaks were farms with higher number of access points to barns, higher numbers of outgoing movements of pigs, and higher number of days where temperatures were between 4°C and 10°C. Results obtained from this study may be used to guide the reinforcement of biosecurity and surveillance strategies to farms and areas within the distance threshold of PRRSV positive farms.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States

et al. 2023

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“…Some architectural elements to mitigate air pollution are being developed, such as green wall biofilters [227], or green belts, established around industrial areas [228]. At the laboratory scale, many studies have shown that biofilters are capable of removing indoor VOCs (such as formaldehyde, toluene, ethylbenzene and xylene) [229,230].…”

Section: Removal Of Air Pollutants and The Role Of Green Architecturementioning

confidence: 99%

Plant-Bacteria Interactions for the Elimination of Atmospheric Contaminants in Cities

et al. 2021

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One of the major health risks for humans, especially for those living in large cities, is air pollution. Air pollution consists mainly of emissions of particulate matter (PM), nitrogen oxides, sulphur dioxide, ammonia and volatile organic compounds (VOCs). The organic carbon fraction of particulate matter is a mixture of hundreds of organic compounds, such as polycyclic aromatic hydrocarbons (PAHs), or polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs), some of which are mutagenic and/or carcinogenic. Because this particulate matter represents a serious threat for human health, measures to reduce emissions and to eliminate contaminants need to be strongly reinforced, with a focus on novel biotechnologies. In this review, we will explore the possibilities that bacteria associated with plants may offer the amelioration of atmospheric contaminants in cities, and we will discuss this strategy in the context of “Green Architecture”.

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Bio-inspired Design and Evaluation of Porous Fences for Mitigating Fugitive Dust

Guo

Zhao

et al. 2020

J Bionic Eng

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Experimental investigation of vegetative environment buffers in reducing particulate matters emitted from ventilated poultry house

Cited by 8 publications

References 26 publications

Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States

Spatiotemporal relative risk distribution of porcine reproductive and respiratory syndrome virus in the United States

Plant-Bacteria Interactions for the Elimination of Atmospheric Contaminants in Cities

Bio-inspired Design and Evaluation of Porous Fences for Mitigating Fugitive Dust

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