The Use of University Biosystem Environmental Protection Platform to Prevent a New Outbreak of the COVID-19 Pandemic

IF 1.3 Q2 AGRICULTURE, MULTIDISCIPLINARY Acta Technologica Agriculturae Pub Date : 2022-03-01 DOI:10.2478/ata-2022-0008
V. Shcherbak, L. Ganushchak-Yefimenko, O. Nifatova, J. Kosiba, T. Holota, V. Yatsenko
{"title":"The Use of University Biosystem Environmental Protection Platform to Prevent a New Outbreak of the COVID-19 Pandemic","authors":"V. Shcherbak, L. Ganushchak-Yefimenko, O. Nifatova, J. Kosiba, T. Holota, V. Yatsenko","doi":"10.2478/ata-2022-0008","DOIUrl":null,"url":null,"abstract":"Abstract The purpose of this study was to determine the possibility of practical use of the Hackathon Platform for ecological protection of the university biosystem to prevent a new outbreak of the COVID-19 pandemic. The COVID-19 pandemic significantly affects companies and population’s behaviour. The most significant change occurred in the attitude of companies to the environment from technical and technological points of view. To increase their production sustainability, these companies are looking at the possibilities of waste recovery through sustainable recycling, or recovery of waste as a source of secondary raw material. One of the simplest ways is to use agricultural waste for energy purposes, bringing bioenergy to the forefront as a new area of Industry 4.0. The ALARA model was used to assess the quality of six biosystem components (atmospheric air, water resources, soil layer, the level of land pollution with chemicals and littering by the unauthorized dumps; sufficient volume of green planting on the territory). This allowed the development of management decisions and environmental protection measures based on the system of calculated indicators of potential environmental damage for each of six biosystem components. The forecast of plan implementation: the quality of four from among six biosystem components (atmospheric air, water resources, soil layer, sufficient volume of green planting on the territory) will increase on average by 30–40%. A minor improvement in the quality of the other biosystem components (approx. by 10%) raises concerns about the high probability of a new outbreak of the COVID-19 pandemic.","PeriodicalId":43089,"journal":{"name":"Acta Technologica Agriculturae","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Technologica Agriculturae","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ata-2022-0008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract The purpose of this study was to determine the possibility of practical use of the Hackathon Platform for ecological protection of the university biosystem to prevent a new outbreak of the COVID-19 pandemic. The COVID-19 pandemic significantly affects companies and population’s behaviour. The most significant change occurred in the attitude of companies to the environment from technical and technological points of view. To increase their production sustainability, these companies are looking at the possibilities of waste recovery through sustainable recycling, or recovery of waste as a source of secondary raw material. One of the simplest ways is to use agricultural waste for energy purposes, bringing bioenergy to the forefront as a new area of Industry 4.0. The ALARA model was used to assess the quality of six biosystem components (atmospheric air, water resources, soil layer, the level of land pollution with chemicals and littering by the unauthorized dumps; sufficient volume of green planting on the territory). This allowed the development of management decisions and environmental protection measures based on the system of calculated indicators of potential environmental damage for each of six biosystem components. The forecast of plan implementation: the quality of four from among six biosystem components (atmospheric air, water resources, soil layer, sufficient volume of green planting on the territory) will increase on average by 30–40%. A minor improvement in the quality of the other biosystem components (approx. by 10%) raises concerns about the high probability of a new outbreak of the COVID-19 pandemic.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用高校生物系统环保平台防范新冠肺炎疫情爆发
摘要本研究的目的是确定实际使用黑客马拉松平台对大学生物系统进行生态保护的可能性,以防止新冠肺炎大流行的新爆发。新冠肺炎大流行对公司和民众的行为产生重大影响。从技术和技术角度来看,公司对环境的态度发生了最显著的变化。为了提高生产的可持续性,这些公司正在研究通过可持续回收或将废物回收作为二次原材料来源来回收废物的可能性。最简单的方法之一是将农业废弃物用于能源目的,将生物能源作为工业4.0的一个新领域推向前沿。ALARA模型用于评估六个生物系统组成部分的质量(大气、水资源、土层、化学品对土地的污染程度和未经授权的垃圾场的乱扔垃圾;领土上足够的绿色种植量)。这使得管理决策和环境保护措施的制定能够基于六个生物系统组成部分中每一个的潜在环境损害的计算指标体系。计划实施预测:六个生物系统组成部分中的四个(大气、水资源、土层、领土上足够的绿色种植量)的质量将平均提高30-40%。其他生物系统组件的质量略有改善(约10%),这引发了人们对新冠肺炎大流行新爆发可能性高的担忧。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Acta Technologica Agriculturae
Acta Technologica Agriculturae AGRICULTURE, MULTIDISCIPLINARY-
CiteScore
2.50
自引率
28.60%
发文量
32
审稿时长
18 weeks
期刊介绍: Acta Technologica Agriculturae is an international scientific double-blind peer reviewed journal focused on agricultural engineering. The journal is multidisciplinary and publishes original research and review papers in engineering, agricultural and biological sciences, and materials science. Aims and Scope Areas of interest include but are not limited to: agricultural and biosystems engineering; machines and mechanization of agricultural production; information and electrical technologies; agro-product and food processing engineering; physical, chemical and biological changes in the soil caused by tillage and field traffic, soil working machinery and terramechanics; renewable energy sources and bioenergy; rural buildings; related issues from applied physics and chemistry, ecology, economy and energy.
期刊最新文献
Sustainable Bioproduct Production via Anaerobic Bioconversion by Landfill Soil Inoculum in Various Carbohydrate Wastes Impact of Machinery Passages on Soil Compaction in Field Conditions Identification of Armyworm-Infected Leaves in Corn by Image Processing and Deep Learning Evaluation of Service Brake Braking of Selected Group of Vehicles Depending on Wear of Brake System‘s Parts Optimisation and Modelling of Soil Pulverisation Index Using Response Surface Methodology for Disk Harrow Under Different Operational Conditions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1