Economic and environmental benefits of optimized waste transportation routes in Khulna

Q2 Environmental Science Environmental Challenges Pub Date : 2024-09-27 DOI:10.1016/j.envc.2024.101023
{"title":"Economic and environmental benefits of optimized waste transportation routes in Khulna","authors":"","doi":"10.1016/j.envc.2024.101023","DOIUrl":null,"url":null,"abstract":"<div><div>Urban transportation is a big source of pollution and greenhouse gas emissions. Khulna City handles the waste of 1.23 million people daily, using Heavy Duty Diesel Vehicles (HDDV) that release major environmental pollutants. The current waste transportation routes lack proper planning, leading to extra fuel consumption and pollutant emissions. This study aims to reduce fuel consumption and socio-environmental costs by improving waste transportation routes. Present collection routes, collecting points, and the speed of 30 waste collector vehicles were tracked using GPS devices for ten months between July 2023 and April 2024. The network dataset was modified according to four types of waste collector vehicles. ArcGIS Pro was used to find the optimal paths and their lengths. Fuel usage and prices were estimated using simple fuel consumption rate calculations. The lengths of current and optimal routes were used in COPERT to measure pollutant emissions. The results show that improved routes lower fuel consumption costs by approximately USD 55.39 per day and CO2 emissions by about 38.242 tonnes per year. Reductions in CO, CH<sub>4</sub>, NMVOC, NO<sub>2</sub>, PM<sub>10</sub>, and PM<sub>2.5</sub> were roughly 9.3%, 9.53%, 9.21%, 9.29%, 9.35%, and 9.3%, respectively. This study demonstrates a comprehensive approach for improving solid waste management covering both financial efficiency and environmental effects.</div></div>","PeriodicalId":34794,"journal":{"name":"Environmental Challenges","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environmental Challenges","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667010024001896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0

Abstract

Urban transportation is a big source of pollution and greenhouse gas emissions. Khulna City handles the waste of 1.23 million people daily, using Heavy Duty Diesel Vehicles (HDDV) that release major environmental pollutants. The current waste transportation routes lack proper planning, leading to extra fuel consumption and pollutant emissions. This study aims to reduce fuel consumption and socio-environmental costs by improving waste transportation routes. Present collection routes, collecting points, and the speed of 30 waste collector vehicles were tracked using GPS devices for ten months between July 2023 and April 2024. The network dataset was modified according to four types of waste collector vehicles. ArcGIS Pro was used to find the optimal paths and their lengths. Fuel usage and prices were estimated using simple fuel consumption rate calculations. The lengths of current and optimal routes were used in COPERT to measure pollutant emissions. The results show that improved routes lower fuel consumption costs by approximately USD 55.39 per day and CO2 emissions by about 38.242 tonnes per year. Reductions in CO, CH4, NMVOC, NO2, PM10, and PM2.5 were roughly 9.3%, 9.53%, 9.21%, 9.29%, 9.35%, and 9.3%, respectively. This study demonstrates a comprehensive approach for improving solid waste management covering both financial efficiency and environmental effects.
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
库尔纳优化废物运输路线的经济和环境效益
城市交通是污染和温室气体排放的一大来源。库尔纳市每天要处理 123 万人的垃圾,使用的重型柴油车(HDDV)会释放出大量的环境污染物。目前的垃圾运输路线缺乏合理规划,导致额外的燃料消耗和污染物排放。本研究旨在通过改善垃圾运输路线,减少燃料消耗和社会环境成本。在 2023 年 7 月至 2024 年 4 月的 10 个月期间,使用 GPS 设备对目前的收集路线、收集点和 30 辆垃圾收集车的速度进行了跟踪。根据四种类型的垃圾收集车修改了网络数据集。使用 ArcGIS Pro 找到最佳路径及其长度。使用简单的燃料消耗率计算方法估算了燃料用量和价格。COPERT 使用当前路线和最优路线的长度来测量污染物排放量。结果显示,改进后的路线每天可降低燃料消耗成本约 55.39 美元,每年可减少二氧化碳排放量约 38.242 吨。CO、CH4、NMVOC、NO2、PM10 和 PM2.5 的减排量分别约为 9.3%、9.53%、9.21%、9.29%、9.35% 和 9.3%。这项研究展示了一种改善固体废物管理的综合方法,既能提高经济效益,又能改善环境影响。
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
Environmental Challenges
Environmental Challenges Environmental Science-Environmental Engineering
CiteScore
8.00
自引率
0.00%
发文量
249
审稿时长
8 weeks
期刊最新文献
Long-term monitoring, predicting and connection between built-up land and urban heat island patterns based on remote sensing data Overcoming barriers to proactive plastic recycling toward a sustainable future Development of a brand value measurement model with a corporate social responsibility perspective. A comparative analysis of consumer perception of energy providers in Spain and Colombia Application of meta-heuristic hybrid models in estimating the average air temperature of Caspian sea coast of Iran Global change drives potential niche contraction and range shift of globally threatened African vulture
×
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