View in EDS

Maize residue effects on PM2.5, PM10, and dust emission from agricultural land.

Saved in:
Bibliographic Details
Title: Maize residue effects on PM2.5, PM10, and dust emission from agricultural land.
Authors: Lin, Xingna1 (AUTHOR), Niu, Jianzhi1 (AUTHOR) nexk@bjfu.edu.cn, Yu, Xinxiao1 (AUTHOR), Berndtsson, Ronny2 (AUTHOR), Wu, Shanshan1 (AUTHOR), Xie, Shiyin1 (AUTHOR)
Source: Soil & Tillage Research. Jan2021, Vol. 205, pN.PAG-N.PAG. 1p.
Subjects: Crop residues, Particulate matter, Farms, Dust, Wind tunnel testing, Air quality standards, Corn
Geographic Terms: China
Abstract: • Provide an approach to estimate PM 2.5 , PM 10 and dust emission on agricultural land. • Validate Modified-WEAM using wind tunnel tests and field. • Simulate PM 2.5 , PM 10 and dust emission on the agricultural land with maize residue. • Provide ways to better management of crop residue. Atmospheric particulate matter and dust from agricultural land significantly affect air quality and human health in nearby residential areas. To quantify these air pollutants, it is important to estimate the vertical atmospheric particulate matter PM 2.5 , PM 10 , and dust flux using observations and validated models. To the authors´ knowledge, this has previously not been performed for semi-humid agricultural areas in China. For this purpose, we used wind tunnel tests together with field observations and the validated WEAM simulation model to assess vertical PM 2.5 , PM 10 , and dust flux from an experimental agricultural area. Four maize residue management procedures were included in the experiments, namely, conventional tillage (CT), remaining flat residue (FR), remaining standing stubble (MS), and a combination of flat residue and standing stubble (SR). Results showed that: (1) the modified WEAM model adequately simulated the vertical PM 10 and dust flux from agricultural land with the four residue managements and the vertical PM 2.5 flux from soils of CT and MS; (2) the vertical PM 2.5 , PM 10 , and dust flux decrease with increase of density and height of standing maize residue >10 cm, and increase with increase height of standing maize residue <10 cm; (3) the vertical PM 2.5 , PM 10 , and dust flux decrease with increase of flat residue coverage, and the threshold coverage of flat maize residue varies linearly with the wind speed; and (4) a combination of standing and flat maize residue is needed to prevent vertical PM 2.5 , PM 10 , and dust flux at wind speed 12−24 ms−1. It can be concluded that flat or standing maize residue may reduce dust emission to the National Environment Air Quality Standard when the wind speed is <16 ms−1. A combination of flat and standing maize residue (>30 cm, denser than 5 cm, and coverage >45 %) is needed for higher wind speed. The study provides an approach to control PM 2.5 , PM 10 , and dust emission from agricultural areas and ways to better manage of crop residue. [ABSTRACT FROM AUTHOR]
Copyright of Soil & Tillage Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
FullText Text:
  Availability: 0
Header DbId: egs
DbLabel: Engineering Source
An: 146655270
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Maize residue effects on PM2.5, PM10, and dust emission from agricultural land.
– Name: Author
  Label: Authors
  Group: Au
  Data: &lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Lin%2C+Xingna%22&quot;&gt;Lin, Xingna&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Niu%2C+Jianzhi%22&quot;&gt;Niu, Jianzhi&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;i&gt; nexk@bjfu.edu.cn&lt;/i&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Yu%2C+Xinxiao%22&quot;&gt;Yu, Xinxiao&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Berndtsson%2C+Ronny%22&quot;&gt;Berndtsson, Ronny&lt;/searchLink&gt;&lt;relatesTo&gt;2&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Wu%2C+Shanshan%22&quot;&gt;Wu, Shanshan&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)&lt;br /&gt;&lt;searchLink fieldCode=&quot;AR&quot; term=&quot;%22Xie%2C+Shiyin%22&quot;&gt;Xie, Shiyin&lt;/searchLink&gt;&lt;relatesTo&gt;1&lt;/relatesTo&gt; (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: &lt;searchLink fieldCode=&quot;JN&quot; term=&quot;%22Soil+%26+Tillage+Research%22&quot;&gt;Soil &amp; Tillage Research&lt;/searchLink&gt;. Jan2021, Vol. 205, pN.PAG-N.PAG. 1p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Crop+residues%22&quot;&gt;Crop residues&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Particulate+matter%22&quot;&gt;Particulate matter&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Farms%22&quot;&gt;Farms&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Dust%22&quot;&gt;Dust&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Wind+tunnel+testing%22&quot;&gt;Wind tunnel testing&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Air+quality+standards%22&quot;&gt;Air quality standards&lt;/searchLink&gt;&lt;br /&gt;&lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22Corn%22&quot;&gt;Corn&lt;/searchLink&gt;
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: &lt;searchLink fieldCode=&quot;DE&quot; term=&quot;%22China%22&quot;&gt;China&lt;/searchLink&gt;
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: • Provide an approach to estimate PM 2.5 , PM 10 and dust emission on agricultural land. • Validate Modified-WEAM using wind tunnel tests and field. • Simulate PM 2.5 , PM 10 and dust emission on the agricultural land with maize residue. • Provide ways to better management of crop residue. Atmospheric particulate matter and dust from agricultural land significantly affect air quality and human health in nearby residential areas. To quantify these air pollutants, it is important to estimate the vertical atmospheric particulate matter PM 2.5 , PM 10 , and dust flux using observations and validated models. To the authors&#180; knowledge, this has previously not been performed for semi-humid agricultural areas in China. For this purpose, we used wind tunnel tests together with field observations and the validated WEAM simulation model to assess vertical PM 2.5 , PM 10 , and dust flux from an experimental agricultural area. Four maize residue management procedures were included in the experiments, namely, conventional tillage (CT), remaining flat residue (FR), remaining standing stubble (MS), and a combination of flat residue and standing stubble (SR). Results showed that: (1) the modified WEAM model adequately simulated the vertical PM 10 and dust flux from agricultural land with the four residue managements and the vertical PM 2.5 flux from soils of CT and MS; (2) the vertical PM 2.5 , PM 10 , and dust flux decrease with increase of density and height of standing maize residue &gt;10 cm, and increase with increase height of standing maize residue &lt;10 cm; (3) the vertical PM 2.5 , PM 10 , and dust flux decrease with increase of flat residue coverage, and the threshold coverage of flat maize residue varies linearly with the wind speed; and (4) a combination of standing and flat maize residue is needed to prevent vertical PM 2.5 , PM 10 , and dust flux at wind speed 12−24 ms−1. It can be concluded that flat or standing maize residue may reduce dust emission to the National Environment Air Quality Standard when the wind speed is &lt;16 ms−1. A combination of flat and standing maize residue (&gt;30 cm, denser than 5 cm, and coverage &gt;45 %) is needed for higher wind speed. The study provides an approach to control PM 2.5 , PM 10 , and dust emission from agricultural areas and ways to better manage of crop residue. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: &lt;i&gt;Copyright of Soil &amp; Tillage Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=146655270
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.still.2020.104738
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 1
        StartPage: N.PAG
    Subjects:
      – SubjectFull: Crop residues
        Type: general
      – SubjectFull: Particulate matter
        Type: general
      – SubjectFull: Farms
        Type: general
      – SubjectFull: Dust
        Type: general
      – SubjectFull: Wind tunnel testing
        Type: general
      – SubjectFull: Air quality standards
        Type: general
      – SubjectFull: Corn
        Type: general
      – SubjectFull: China
        Type: general
    Titles:
      – TitleFull: Maize residue effects on PM2.5, PM10, and dust emission from agricultural land.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lin, Xingna
      – PersonEntity:
          Name:
            NameFull: Niu, Jianzhi
      – PersonEntity:
          Name:
            NameFull: Yu, Xinxiao
      – PersonEntity:
          Name:
            NameFull: Berndtsson, Ronny
      – PersonEntity:
          Name:
            NameFull: Wu, Shanshan
      – PersonEntity:
          Name:
            NameFull: Xie, Shiyin
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Text: Jan2021
              Type: published
              Y: 2021
          Identifiers:
            – Type: issn-print
              Value: 01671987
          Numbering:
            – Type: volume
              Value: 205
          Titles:
            – TitleFull: Soil & Tillage Research
              Type: main
ResultId 1