{"title":"衡量中国城市群空气污染与二氧化碳排放的协同效应：从总体影响和相关性角度进行评估","authors":"","doi":"10.1007/s00477-024-02705-3","DOIUrl":null,"url":null,"abstract":"<h3>Abstract</h3> <p>Synergizing air pollution control and carbon emission reduction has been widely proposed and highlighted. Evaluating the synergy of air pollution and carbon emissions has been the primary concern and essential support for synergistic control. Current research and works have attempted to assess synergy from multiple perspectives, but the informativeness and comprehensiveness of the synergy of air pollution and carbon emissions have been limited. This study develops a framework evaluating the synergy of PM<sub>2.5</sub>, ozone, and CO<sub>2</sub> emission from the correlation and aggregate perspectives based on the large-scale and deep exploitation of the correlation and additivity of the data samples. A case study on the monthly synergy of air pollution and CO<sub>2</sub> emission has been performed in major Chinese urban agglomerations at the city level. The results informatively present the seasonal and city-level characteristics and heterogeneity of synergy for PM<sub>2.5</sub>-ozone-CO<sub>2</sub> while providing partitioned and classified recommendations for synergistic control. A comprehensive synergy typology of synergy, bare, aggregate, and correlation for air pollution and CO<sub>2</sub> emission provides a reference for planning short-period synergistic control strategies.</p>","PeriodicalId":21987,"journal":{"name":"Stochastic Environmental Research and Risk Assessment","volume":"293 1","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measuring the synergy of air pollution and CO2 emission in Chinese urban agglomerations: an evaluation from the aggregate impact and correlation perspectives\",\"authors\":\"\",\"doi\":\"10.1007/s00477-024-02705-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Abstract</h3> <p>Synergizing air pollution control and carbon emission reduction has been widely proposed and highlighted. Evaluating the synergy of air pollution and carbon emissions has been the primary concern and essential support for synergistic control. Current research and works have attempted to assess synergy from multiple perspectives, but the informativeness and comprehensiveness of the synergy of air pollution and carbon emissions have been limited. This study develops a framework evaluating the synergy of PM<sub>2.5</sub>, ozone, and CO<sub>2</sub> emission from the correlation and aggregate perspectives based on the large-scale and deep exploitation of the correlation and additivity of the data samples. A case study on the monthly synergy of air pollution and CO<sub>2</sub> emission has been performed in major Chinese urban agglomerations at the city level. The results informatively present the seasonal and city-level characteristics and heterogeneity of synergy for PM<sub>2.5</sub>-ozone-CO<sub>2</sub> while providing partitioned and classified recommendations for synergistic control. A comprehensive synergy typology of synergy, bare, aggregate, and correlation for air pollution and CO<sub>2</sub> emission provides a reference for planning short-period synergistic control strategies.</p>\",\"PeriodicalId\":21987,\"journal\":{\"name\":\"Stochastic Environmental Research and Risk Assessment\",\"volume\":\"293 1\",\"pages\":\"\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2024-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stochastic Environmental Research and Risk Assessment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1007/s00477-024-02705-3\",\"RegionNum\":3,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, CIVIL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastic Environmental Research and Risk Assessment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1007/s00477-024-02705-3","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
Measuring the synergy of air pollution and CO2 emission in Chinese urban agglomerations: an evaluation from the aggregate impact and correlation perspectives
Abstract
Synergizing air pollution control and carbon emission reduction has been widely proposed and highlighted. Evaluating the synergy of air pollution and carbon emissions has been the primary concern and essential support for synergistic control. Current research and works have attempted to assess synergy from multiple perspectives, but the informativeness and comprehensiveness of the synergy of air pollution and carbon emissions have been limited. This study develops a framework evaluating the synergy of PM2.5, ozone, and CO2 emission from the correlation and aggregate perspectives based on the large-scale and deep exploitation of the correlation and additivity of the data samples. A case study on the monthly synergy of air pollution and CO2 emission has been performed in major Chinese urban agglomerations at the city level. The results informatively present the seasonal and city-level characteristics and heterogeneity of synergy for PM2.5-ozone-CO2 while providing partitioned and classified recommendations for synergistic control. A comprehensive synergy typology of synergy, bare, aggregate, and correlation for air pollution and CO2 emission provides a reference for planning short-period synergistic control strategies.
期刊介绍：
Stochastic Environmental Research and Risk Assessment (SERRA) will publish research papers, reviews and technical notes on stochastic and probabilistic approaches to environmental sciences and engineering, including interactions of earth and atmospheric environments with people and ecosystems. The basic idea is to bring together research papers on stochastic modelling in various fields of environmental sciences and to provide an interdisciplinary forum for the exchange of ideas, for communicating on issues that cut across disciplinary barriers, and for the dissemination of stochastic techniques used in different fields to the community of interested researchers. Original contributions will be considered dealing with modelling (theoretical and computational), measurements and instrumentation in one or more of the following topical areas:
- Spatiotemporal analysis and mapping of natural processes.
- Enviroinformatics.
- Environmental risk assessment, reliability analysis and decision making.
- Surface and subsurface hydrology and hydraulics.
- Multiphase porous media domains and contaminant transport modelling.
- Hazardous waste site characterization.
- Stochastic turbulence and random hydrodynamic fields.
- Chaotic and fractal systems.
- Random waves and seafloor morphology.
- Stochastic atmospheric and climate processes.
- Air pollution and quality assessment research.
- Modern geostatistics.
- Mechanisms of pollutant formation, emission, exposure and absorption.
- Physical, chemical and biological analysis of human exposure from single and multiple media and routes; control and protection.
- Bioinformatics.
- Probabilistic methods in ecology and population biology.
- Epidemiological investigations.
- Models using stochastic differential equations stochastic or partial differential equations.
- Hazardous waste site characterization.
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