Recent Advances in Air Quality Monitoring, Mitigation, and Modeling for Agricultural Environments

A special issue of AgriEngineering (ISSN 2624-7402).

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 2899

Special Issue Editors


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Guest Editor
Professor, Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD 57007, USA
Interests: livestock environment; air quality; ventilation; algae; light frame structure
Department of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD 57007, USA
Interests: air quality; livestock environment; environmental engineering; waste management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In many countries, including the United States, agricultural activities are largely exempt from air quality laws and regulations. However, such exemptions will likely be removed given the growing public scrutiny regarding the impact of agriculture on air environments. Although numerous efforts have been made to monitor and mitigate air pollutants from agricultural activities, several gaps and challenges still exist. They include but are not limited to (i) limited data availability concerning air pollutant concentrations and emissions, (ii) lack of affordable mitigation technologies widely accepted by agricultural producers, (iii) disconnects between the reality and the public perception of agricultural air quality issues, and (iv) lack of systemic analysis (e.g., life cycle assessment) concerning aerial emissions and mitigation technologies. A compilation of recent research advances in this area is therefore of great importance.

This Special Issue aims to provide a timely platform for researchers to share recent developments in agricultural air quality monitoring, mitigation, and modeling. Any agricultural environments (e.g., animal facilities, grasslands, croplands, forests, and food processing units) will fit the scope of the Issue. Specifically, we invite studies on the following themes:

  • New air quality monitoring data that fill the knowledge gap;
  • Regional and national air emission inventories;
  • Novel air monitoring technologies or systems for agricultural environments;
  • Innovative air mitigation technologies for animal facilities and food processing units;
  • Application of the Internet of Things, edge computing, and big data analytics (e.g., machine learning) for agricultural air quality management;
  • Producer-friendly modeling tools and information systems;
  • Systemic analysis (e.g., life cycle assessment and industrial ecology) of agricultural production systems regarding their impacts on air environments;
  • Efforts to bridge the disconnects between reality and public perception.

Dr. Gary A. Anderson
Dr. Xufei Yang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AgriEngineering is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Agricultural environment
  • Air quality
  • Monitoring
  • Mitigation
  • Modeling
  • Systemic analysis

Published Papers (1 paper)

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Research

11 pages, 1040 KiB  
Article
Distribution of Airflow and Media Moisture Content across Two Vertical Bed Biofilters
by Augustina Osabutey, Brady Cromer, Alexander Davids, Logan Prouty, Noor Haleem, Robert Thaler, Richard Nicolai and Xufei Yang
AgriEngineering 2022, 4(1), 179-189; https://doi.org/10.3390/agriengineering4010013 - 24 Feb 2022
Cited by 1 | Viewed by 2384
Abstract
For its small square footage, a vertical bed biofilter was developed for odor emission mitigation for livestock facilities with limited area available for biofilter installation. However, a concern about the design is that airflow and moisture may be poorly distributed across the biofilter [...] Read more.
For its small square footage, a vertical bed biofilter was developed for odor emission mitigation for livestock facilities with limited area available for biofilter installation. However, a concern about the design is that airflow and moisture may be poorly distributed across the biofilter due to the effects of gravity. Relevant data are sporadic in the literature. To fill the knowledge gap, two vertical bed biofilters were constructed at a university swine facility and monitored for two months. The monitoring was taken at 27 grid points on each biofilter per field visit. Results revealed that both the airflow and medium moisture content were unevenly distributed. The sun-facing side of the biofilters had significantly lower medium moisture content (p < 0.01) due to solar-induced water evaporation. The side directly facing the barn exhaust had the highest airflow. Airflows varied along the height of the biofilters, but no significant difference was noted. The uniformity of airflow and moisture content, characterized by coefficient of variance (CV) and distribution uniformity (DU) respectively, were examined over the monitoring campaign. Possible reasons for uneven distribution were explored and recommendations are made to address the uniformity issue. The findings from the study are expected to further the development and implementation of biofiltration technology for livestock odor control. Full article
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