Determining the Carbon Pollution in a City by Monitoring Traffic Flows Using Machine Vision DOI
Evgeniy Kozin,

Dmitry Vohmin

2022 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), Год журнала: 2024, Номер unknown, С. 870 - 874

Опубликована: Май 20, 2024

The article discusses a method for determining the level of carbon pollution in city from automobile emissions relation to current degree congestion section road network. Information about traffic jams is taken online street surveillance cameras and processed by yolov5 object detector, trained on generated labeled dataset, including movement cars roads. detector model makes it possible determine with high accuracy coordinates bounding boxes most road, thereby recording fact their movement, as well average speed. This information used calculate intensity density vehicle over certain time selected four-lane road. Certain flow indicators are amount dioxide engine power specific fuel consumption at corresponding speed resulting values then converted into units displayed real digital map city. unit can subsequently include layers industrial enterprises, agricultural facilities other production be justify make management decisions reduce load environment region.

Язык: Английский

Spatio-temporal evolution characteristics of carbon emissions from road transportation in the mainland of China from 2006 to 2021 DOI
Lanyi Zhang,

Dawei Weng,

Yinuo Xu

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 917, С. 170430 - 170430

Опубликована: Янв. 27, 2024

Язык: Английский

Процитировано

28

Study on factors influencing carbon dioxide emissions and carbon peak heterogenous pathways in Chinese provinces DOI

Runpu Liu,

Yanru Fang,

Shuan Peng

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 365, С. 121667 - 121667

Опубликована: Июль 2, 2024

Язык: Английский

Процитировано

14

Energy-related carbon emission reduction pathways in Northwest China towards carbon neutrality goal DOI
Meng Xu, Silu Zhang,

P Li

и другие.

Applied Energy, Год журнала: 2024, Номер 358, С. 122547 - 122547

Опубликована: Янв. 8, 2024

Язык: Английский

Процитировано

12

Evaluation of Multidimensional Carbon Neutrality Policies in Transportation Using a Novel Quantum Picture Fuzzy Rough Modeling DOI Creative Commons
Gang Kou, Dragan Pamučar, Serhat Yüksel

и другие.

IEEE Transactions on Engineering Management, Год журнала: 2024, Номер 71, С. 7681 - 7700

Опубликована: Янв. 1, 2024

Carbon neutrality policies are of great importance for the transportation sector. Thus, some issues need to be taken into consideration increase effectiveness carbon in this However, biggest disadvantage these improvements is that they costs. Instead improving a large number factors, it more financially feasible take action on ones important. Nevertheless, there limited studies which priority analysis made factors affecting process. Therefore, main missing part literature new study should weights variables determined. The purpose evaluate industry with novel decision-making model. First, selected indicators evaluated by quantum picture fuzzy row sets-based multi-step wise weight assessment ratio (M-SWARA) technique. Secondly, alternatives ranked. For purpose, multi-objective optimization basis (MOORA) methodology considered sets. motivation making and comprehensive reason behind situation most existing models could not consider causal directions among indicators. Due situation, proposed model created using causality relationships between industry. contribution integrating theory rough This has positive make sensitive evaluations. Additionally, approach criteria so relationship determinants can findings demonstrate infrastructure development important factor effective Cost another critical indicator respect. On other hand, according ranking results, determined reducing traditional fuels zero-carbon essential alternative transportation. It would appropriate companies attach use electric vehicles. In context, government incentives vehicles offered. example, tax reduction may as will provide significant cost advantage.

Язык: Английский

Процитировано

12

Heterogeneity analysis of CO2 emissions driving features on road transport: New perspective from interpretive machine learning DOI

Xing Wang,

Yikun Su,

Zhizhe Zheng

и другие.

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144726 - 144726

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Assessment of decarbonization pathway for Chinese road transport sector based on transportation-energy integration systems framework DOI

Tianyi Wan,

Hao Fu, Xiaoshan Li

и другие.

Energy, Год журнала: 2025, Номер unknown, С. 134727 - 134727

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Uncovering the differentiated impacts of carbon neutrality and clean air policies in multi-provinces of China DOI Creative Commons
Meng Xu, Minghao Wang,

Mengdan Zhao

и другие.

iScience, Год журнала: 2024, Номер 27(6), С. 109966 - 109966

Опубликована: Май 11, 2024

Ambitious action plans have been launched to address climate change and air pollution. Through coupling the IMED|CGE, GAINS, IMED|HEL models, this study investigate impacts of implementing carbon neutrality clean policies on energy-environment-health-economy chain in Beijing-Tianjin-Hebei-Henan-Shandong-Shanxi region China. Results show that Shandong holds largest reduction energy consumption emissions toward 1.5°C target. Shandong, Henan, Hebei are particularly prominent pollutant potential. Synergistic effects decreasing PM

Язык: Английский

Процитировано

3

Resource and environmental impacts of carbon emission reduction in China’s iron and steel sector under the carbon neutrality goal DOI Creative Commons
Xu Tian, Zhaoling Li, Yong Geng

и другие.

资源科学, Год журнала: 2024, Номер 46(4), С. 700 - 716

Опубликована: Янв. 1, 2024

【目的】钢铁行业是能源终端消费领域碳排放最大的行业,其碳减排与区域的经济社会发展息息相关。识别碳减排措施产生的资源环境影响并揭示区域差异性可为中国钢铁行业实现高质量绿色低碳转型提供支撑。【方法】本文基于自下而上的Asian-Pacific Integrated Model (AIM)/Enduse模型建立了反映资源环境经济关联的工厂级中国钢铁行业综合评估模型,预测了2060年不同经济社会发展路径下粗钢需求,重点识别了生产结构调整、减排技术普及、碳政策以及碳中和技术措施产生的资源影响(燃料、焦炭、电力、氢能、废能废热、铁矿石和废钢)和环境影响(CO2、十种大气污染物以及汞),揭示了典型环境排放(CO2、甲烷和汞)的区域差异性及空间格局。【结果】①随着可回收废钢存量增加,短流程的粗钢产量占比将由2020年的10.6%提高到2060年的70%;②在多种减排措施协同作用下,相较于2020年,2060年中国钢铁行业的总能耗将下降70%~76%,燃料消耗减少92%(其中煤炭占比将下降为0,生物质能占比将上升69%,具有还原剂属性的焦炭消耗量将下降90%),CO2排放量将减少89%~91%,但甲烷、有机碳和汞排放增加需引起关注;③在多种减排措施协同作用下,不同粗钢需求路径下钢铁行业省级碳减排差异明显,高粗钢需求情景下呈汞排放增加趋势的省份数量较多。【结论】中国钢铁行业碳减排应加强系统筹划,警惕减排措施产生的环境排放要素间"抵消"影响;钢铁行业高质量绿色低碳转型应充分考虑地区经济社会差异以及资源禀赋承载力。

Процитировано

2

Nanoarchitectonics for Biomedical Research: Post‐Nanotechnology Materials Approach for Bio‐Active Application DOI Creative Commons
Katsuhiko Ariga

Advanced NanoBiomed Research, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 1, 2024

Nanoarchitectonics, as a post‐nanotechnology concept, represents methodology for the construction of functional materials employing atoms, molecules, and nanomaterials essential components. The overarching objective nanoarchitectonics is to develop systems comprising multiple units assembled in hierarchical manner, observed biological systems. Nevertheless, such challenging endeavor. It would be prudent, therefore, initially focus on development that interact with complex structures living organisms. Accordingly, this review article addresses topic nanoarchitecture it pertains biomedical applications. This examines current trends research presents examples studies support concept its applications fields. presented are follows: i) molecular developments, which mainly based design assembly; ii) material examples, using components; iii) porous materials, will summarized under heading pore‐engineered due their special structure. Finally, provides an overview these discusses future prospects.

Язык: Английский

Процитировано

2

Industrial agglomeration, FDI, and carbon emissions: new evidence from China’s service industry DOI
WU Xiao-li,

Mengjie Zhu,

An Pan

и другие.

Environmental Science and Pollution Research, Год журнала: 2023, Номер 31(3), С. 4946 - 4969

Опубликована: Дек. 18, 2023

Язык: Английский

Процитировано

4