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Sousa AC, Pastorinho MR, Masjedi MR, Urrutia-Pereira M, Arrais M, Nunes E, To T, Ferreira AJ, Robalo-Cordeiro C, Borrego C, Teixeira JP, Taborda-Barata L. Issue 1 - "Update on adverse respiratory effects of outdoor air pollution" Part 2): Outdoor air pollution and respiratory diseases: Perspectives from Angola, Brazil, Canada, Iran, Mozambique and Portugal. Pulmonology 2022; 28:376-395. [PMID: 35568650 DOI: 10.1016/j.pulmoe.2021.12.007] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 12/12/2021] [Indexed: 12/01/2022] Open
Abstract
OBJECTIVE To analyse the GARD perspective on the health effects of outdoor air pollution, and to synthesise the Portuguese epidemiological contribution to knowledge on its respiratory impact. RESULTS Ambient air pollution has deleterious respiratory effects which are more apparent in larger, densely populated and industrialised countries, such as Canada, Iran, Brazil and Portugal, but it also affects people living in low-level exposure areas. While low- and middle-income countries (LMICs), are particularly affected, evidence based on epidemiological studies from LMICs is both limited and heterogeneous. While nationally, Portugal has a relatively low level of air pollution, many major cities face with substantial air pollution problems. Time series and cross-sectional epidemiological studies have suggested increased respiratory hospital admissions, and increased risk of respiratory diseases in people who live in urban areas and are exposed to even a relatively low level of air pollution. CONCLUSIONS Adverse respiratory effects due to air pollution, even at low levels, have been confirmed by epidemiological studies. However, evidence from LMICs is heterogeneous and relatively limited. Furthermore, longitudinal cohort studies designed to study and quantify the link between exposure to air pollutants and respiratory diseases are needed. Worldwide, an integrated approach must involve multi-level stakeholders including governments (in Portugal, the Portuguese Ministry of Health, which hosts GARD-Portugal), academia, health professionals, scientific societies, patient associations and the community at large. Such an approach not only will garner a robust commitment, establish strong advocacy and clear objectives, and raise greater awareness, it will also support a strategy with adequate measures to be implemented to achieve better air quality and reduce the burden of chronic respiratory diseases (CRDs).
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Affiliation(s)
- A C Sousa
- Comprehensive Health Research Centre (CHRC) and Department of Biology, University of Évora, Pólo da Mitra, Apartado 94, Évora 7002-554, Portugal; NuESA-Health and Environment Study Unit, Faculty of Health Sciences, University of Beira Interior, Avenida Infante D. Henrique, Covilhã 6200-506, Portugal
| | - M R Pastorinho
- NuESA-Health and Environment Study Unit, Faculty of Health Sciences, University of Beira Interior, Avenida Infante D. Henrique, Covilhã 6200-506, Portugal; Comprehensive Health Research Centre (CHRC), Department of Medical and Health Sciences, University of Évora, Colégio Luís António Verney, Rua Romão Ramalho, 59, Évora 7000-671, Portugal
| | - M R Masjedi
- Department of Pulmonary Medicine, Shahid Beheshti University of Medical Sciences, 7th Floor, Bldg n 2, SBUMS, Arabi Avenue, Daneshjoo Boulevard, Velenjak, Tehran 19839-63113, Iran
| | - M Urrutia-Pereira
- Universidade Federal do Pampa, BR 472 - Km 585, Caixa Postal 118, Uruguaiana (RS) CEP 97501-970, Brazil
| | - M Arrais
- Department of Pulmonology, Military Hospital, Rua 17 de Setembro, 27/29, Cidade Alta, Luanda, Angola; Centro de Investigação em Saúde de Angola - CISA, Caxito, Bengo, Angola
| | - E Nunes
- Department of Pulmonology, Central Hospital of Maputo, Agostinho Neto, 64, Maputo 1100, Mozambique; Faculty of Medicine, Eduardo Mondlane University, Avenida Dr. Salvador Allende, Caixa Postal 257, Maputo, Mozambique
| | - T To
- The Hospital for Sick Children, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario M5G 1 × 8, Canada
| | - A J Ferreira
- Department of Pulmonology, Centro Hospitalar Universitário de Coimbra, Praceta Prof. Mota Pinto, Coimbra 3004-561, Portugal; Faculty of Medicine, University of Coimbra, Azinhaga de Santa Comba, Celas, Coimbra 3000-548, Portugal
| | - C Robalo-Cordeiro
- Department of Pulmonology, Centro Hospitalar Universitário de Coimbra, Praceta Prof. Mota Pinto, Coimbra 3004-561, Portugal; Faculty of Medicine, University of Coimbra, Azinhaga de Santa Comba, Celas, Coimbra 3000-548, Portugal
| | - C Borrego
- CESAM & Department of Environment and Planning, University of Aveiro, Aveiro 3810-193, Portugal; IDAD - Instituto do Ambiente e Desenvolvimento, Campus Universitário de Santiago, Aveiro 3810-193, Portugal
| | - J P Teixeira
- EPIUnit - Instituto de Saúde Pública, University of Porto, Rua das Taipas, 135, Porto 4050-091, Portugal; Department of Environmental Health, Portuguese National Institute of Health, Rua Alexandre Herculano, 321, Porto 4000-055, Portugal
| | - L Taborda-Barata
- NuESA-Health and Environment Study Unit, Faculty of Health Sciences, University of Beira Interior, Avenida Infante D. Henrique, Covilhã 6200-506, Portugal; UBIAir-Clinical & Experimental Lung Centre, UBIMedical, University of Beira Interior, EM506 Covilhã 6200-000, Portugal; CICS-Health Sciences Research Centre, University of Beira Interior, Avenida Infante D. Henrique, Covilhã 6200-506, Portugal.
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Guo J, Dong H, Farzaneh H, Geng Y, Reddington CL. Uncovering the overcapacity feature of China's industry and the environmental & health co-benefits from de-capacity. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 308:114645. [PMID: 35131707 DOI: 10.1016/j.jenvman.2022.114645] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/26/2022] [Accepted: 01/31/2022] [Indexed: 06/14/2023]
Abstract
Overcapacity is regarded as an inevitable problem for rapid economic developing countries like China, which also causes serious adverse impacts on the environment and public health. However, few studies have quantified the overcapacity feature and corresponding co-benefit from de-capacity policy. To fill such research gaps, this study constructed a comprehensive assessment model by combining the Data Envelopment Analysis (DEA) model, the GAINS-China (Greenhouse gas - Air pollution Interactions and Synergies) model, and a meta-analysis and health impact assessment module, to measure the capacity utilization rate of 41 industrial sectors in 31 Chinese provinces and forecast the environmental and health co-benefits from de-capacity policy in 2050. Results showed that the capacity utilization rate of China's industry is 64.13% in 2018, which is much lower than the threshold value of 75%, indicating serious overcapacity in China's industry. Capacity utilization rates of light industries are higher (around 70%) than heavy industries (50%-60%), and the capacity utilization rate in East and South-Central China is higher (70%-96%) than West China (below 40%). Under a de-capacity scenario in 2050, China's CO2 and PM2.5 emissions are reduced by 1.05 billion tons (9.6%) and 57.8 kilotons (5.8%), respectively. This reduction in PM2.5 emissions results in a substantial health co-benefit, reducing national premature mortality cases by approximately 792,100 (1.6%). Finally, it is recommended that de-capacity priority be given to industries with low capacity utilization rate, as well as regions with intensive heavy industry or high levels of greenhouse gas emissions, severe air pollution, and dense population.
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Affiliation(s)
- Jiawen Guo
- China-UK Low Carbon College, Shanghai Jiao Tong University, Shanghai, 201306, China; Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka, Japan
| | - Huijuan Dong
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; SJTU-UNIDO Joint Institute of Inclusive and Sustainable Industrial Development, Shanghai Jiao Tong University, Shanghai, 200030, China.
| | - Hooman Farzaneh
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University, Fukuoka, Japan
| | - Yong Geng
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; SJTU-UNIDO Joint Institute of Inclusive and Sustainable Industrial Development, Shanghai Jiao Tong University, Shanghai, 200030, China; School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Carly L Reddington
- Institute for Climate & Atmospheric Science, School of Earth and Environment, University of Leeds, Leeds, UK
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Moradi M, Mokhtari A, Mohammadi MJ, Hadei M, Vosoughi M. Estimation of long-term and short-term health effects attributed to PM 2.5 standard pollutants in the air of Ardabil (using Air Q + model). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:21508-21516. [PMID: 34761318 DOI: 10.1007/s11356-021-17303-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
Clean air is considered as a basic need for human health. However, air pollution is a significant threat to health in developed and developing countries. The aim of this study was to estimate the health effects attributed to PM2.5 pollutants in the air of Ardabil in 2018 (using Air Q + model). Raw data related to particles were collected from the Department of Environment and processed in Excel software and converted into an input file of the Air Q + model, and in the final stage, by considering appropriate epidemiological parameters and combining these data with air quality data, it was possible to estimate the health effects of air pollution. The results showed that the average annual concentrations of PM2.5 and PM10 were 15.47 and 30.94 in the study year, respectively. The total number of deaths due to ALRI, COPD, lung cancer, IHD, and stroke deaths on average during the study period were estimated to be 73, 11, 7, 15, and 14 deaths, respectively, which include 14.62, 15.78, 4.9, 12.43, and 11.6% of deaths due to ALRI, COPD, lung cancer, IHD, and stroke deaths, respectively. In conditions of concentration above 5 µg/m3, attributed proportion, total number of attributed cases and number of attributed cases per 100,000 population (with moderate relative risk and confidence interval of 95%) for cardiovascular diseases have been estimated to be 0.95% 103 people and 42.19 people. Also, the attributed proportion, the total number of attributable cases, and the number of attributable cases per 100,000 population (with moderate relative risk and confidence of 95%) for the admission of respiratory diseases have been estimated at 97.1%, 68 persons and 3 persons, respectively. Our results suggest that particle exposure even at low concentrations is associated with an increased risk of overall mortality and specific cause mortality and hospital admissions for respiratory and cardiovascular diseases.
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Affiliation(s)
- Mina Moradi
- Students Research Committee, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Ahmad Mokhtari
- Department of Environmental Health Engineering, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Mohammad Javad Mohammadi
- Department of Environmental Health Engineering, School of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Mostafa Hadei
- Department of Environmental Health Engineering, School of Health, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehdi Vosoughi
- Department of Environmental Health Engineering, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
- Social Determinants of Health Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
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Carnegie ER, Inglis G, Taylor A, Bak-Klimek A, Okoye O. Is Population Density Associated with Non-Communicable Disease in Western Developed Countries? A Systematic Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19052638. [PMID: 35270337 PMCID: PMC8910328 DOI: 10.3390/ijerph19052638] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/19/2022] [Accepted: 02/22/2022] [Indexed: 02/04/2023]
Abstract
Over the last three decades, researchers have investigated population density and health outcomes at differing scale. There has not been a systematic review conducted in order to synthesise this evidence. Following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, we systematically reviewed quantitative evidence published since 1990 on population density and non-communicable disease (NCD) within Westernised countries. Fifty-four studies met the inclusion criteria and were evaluated utilising a quality assessment tool for ecological studies. High population density appears to be associated with higher mortality rates of a range of cancers, cardiovascular disease and COPD, and a higher incidence of a range of cancers, asthma and club foot. In contrast, diabetes incidence was found to be associated with low population density. High and low population density are therefore risk markers for a range of NCDs, indicating that there are unidentified factors and mechanisms underlying aetiology. On closer examination, our synthesis revealed important and complex relationships between population density, the built environment, the nature of greenspace and man-made exposures. In light of increasing rates of morbidity and mortality, future research is required to investigate these associations in order to establish causative agents for each NCD.
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Affiliation(s)
- Elaine Ruth Carnegie
- School of Health and Social Care, Edinburgh Napier University, Sighthill Court, Edinburgh EH114BN, UK; (A.T.); (A.B.-K.); (O.O.)
- Correspondence:
| | - Greig Inglis
- School of Education and Social Sciences, Paisley Campus, University of the West of Scotland, Paisley PA12BE, UK;
| | - Annie Taylor
- School of Health and Social Care, Edinburgh Napier University, Sighthill Court, Edinburgh EH114BN, UK; (A.T.); (A.B.-K.); (O.O.)
| | - Anna Bak-Klimek
- School of Health and Social Care, Edinburgh Napier University, Sighthill Court, Edinburgh EH114BN, UK; (A.T.); (A.B.-K.); (O.O.)
| | - Ogochukwu Okoye
- School of Health and Social Care, Edinburgh Napier University, Sighthill Court, Edinburgh EH114BN, UK; (A.T.); (A.B.-K.); (O.O.)
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The Impact of Air Quality on Effective Labor Supply: Based on the Survey Data of Zhejiang Province in China. SUSTAINABILITY 2021. [DOI: 10.3390/su13074012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
Labor is one of the most important factors of production and the basis for the development of social productivity. China’s aging population problem is serious, and the study of the labor supply is of great importance in order to achieve its second centenary goal regarding social development. In this study, four stage mixed sampling was used to conduct a questionnaire survey in the Zhejiang province of China, and 590 valid questionnaires were obtained. An ordered logit model and sample selection model were used to analyze the impact of air quality on the effective labor supply. The results show that the effective labor supply was significantly correlated with air quality. That is, the worse the air quality was, the lower the effective labor supply was, although this relationship was more explicit for people who worked indoors. When air quality impedes residents’ daily lives and even affects their health, it indirectly affects the effective supply of local labor. This paper indicates the causal relationship between economic development and the ecological environment and has enlightening significance for the realization of sustainable development.
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Andreão WL, Pinto JA, Pedruzzi R, Kumar P, Albuquerque TTDA. Quantifying the impact of particle matter on mortality and hospitalizations in four Brazilian metropolitan areas. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2020; 270:110840. [PMID: 32501238 DOI: 10.1016/j.jenvman.2020.110840] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2020] [Revised: 05/22/2020] [Accepted: 05/24/2020] [Indexed: 06/11/2023]
Abstract
Air quality management involves investigating areas where pollutant concentrations are above guideline or standard values to minimize its effect on human health. Particulate matter (PM) is one of the most studied pollutants, and its relationship with health has been widely outlined. To guide the construction and improvement of air quality policies, the impact of PM on the four Brazilian southeast metropolitan areas was investigated. One-year long modeling of PM10 and PM2.5 was performed with the WRF-Chem model for 2015 to quantify daily and annual PM concentrations in 102 cities. Avoidable mortality due to diverse causes and morbidity due to respiratory and circular system diseases were estimated concerning WHO guidelines, which was adopted in Brazil as a final standard to be reached in the future; although there is no deadline set for its implementation yet. Results showed satisfactory representation of meteorology and ambient PM concentrations. An overestimation in PM concentrations for some monitoring stations was observed, mainly in São Paulo metropolitan area. Cities around capitals with high modelled annual PM2.5 concentrations do not monitor this pollutant. The total avoidable deaths estimated for the region, related to PM2.5, were 32,000 ± 5,300 due to all-cause mortality, between 16,000 ± 2,100 and 51,000 ± 3,000 due non-accidental causes, between 7,300 ± 1,300 and 16,700 ± 1,500 due to cardiovascular disease, between 4,750 ± 900 and 10,950 ± 870 due ischemic heart diseases and 1,220 ± 330 avoidable deaths due to lung cancer. Avoidable respiratory hospitalizations were greater for PM2.5 among 'children' age group than for PM10 (all age group) except in São Paulo metropolitan area. For circulatory system diseases, 9,840 ± 3,950 avoidable hospitalizations in the elderly related to a decrease in PM2.5 concentrations were estimated. This study endorses that more restrictive air quality standards, human exposure, and health effects are essential factors to consider in urban air quality management.
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Affiliation(s)
- Willian Lemker Andreão
- Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, 31270-010, Brazil
| | - Janaina Antonino Pinto
- Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, 31270-010, Brazil; Faculty of Mobility Engineering, Federal University of Itajubá, Itabira, 35903-087, Brazil; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, United Kingdom
| | - Rizzieri Pedruzzi
- Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, 31270-010, Brazil
| | - Prashant Kumar
- Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guildford, GU2 7XH, United Kingdom
| | - Taciana Toledo de Almeida Albuquerque
- Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, Belo Horizonte, 31270-010, Brazil; Post Graduation Program on Environmental Engineering, Federal University of Espírito Santo, Vitória, Brazil.
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Rafael S, Correia LP, Lopes D, Bandeira J, Coelho MC, Andrade M, Borrego C, Miranda AI. Autonomous vehicles opportunities for cities air quality. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 712:136546. [PMID: 32050386 DOI: 10.1016/j.scitotenv.2020.136546] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 01/02/2020] [Accepted: 01/03/2020] [Indexed: 06/10/2023]
Abstract
The impacts of autonomous vehicles (AV) on safety, energy and atmospheric emissions have been recognised to be important issues, but an air quality impact assessment is missing. In this study, by using a numerical modelling approach, the impact of AV on the air quality of a medium-sized Portuguese urban area was evaluated. For that, the air pollutants nitrogen oxides (NOx) and carbon dioxide (CO2) were considered and three scenarios were developed: i) a baseline scenario; ii) an autonomous scenario, assuming an AV market penetration rate of 30%; and iii) an electric autonomous scenario, taking into account that those 30% of AV are pure battery electric cars. A modelling system composed by a road traffic model, a road transport emission model and a Computational Fluid Dynamics air quality model was used. The autonomous scenario promoted an increase of both NOx (+1.8%) and CO2 (+0.7%) emissions, while the electric autonomous scenario resulted in emission reductions of about 30% for both air pollutants. In terms of air quality, distinct patterns were found: i) the autonomous scenario promoted both increases and decreases of NOx concentrations; and ii) the electric autonomous scenario promoted a widespread reduction of NOx concentrations (with an average value of -4%). Overall the results showed that AV have the potential to improve urban air quality, but, further research is needed to enrich the findings of this work.
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Affiliation(s)
- Sandra Rafael
- Department of Environment and Planning, CESAM, University of Aveiro, 3810-193 Aveiro, Portugal.
| | - Luís P Correia
- Department of Environment and Planning, CESAM, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Diogo Lopes
- Department of Environment and Planning, CESAM, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Jorge Bandeira
- Department of Mechanical Engineering, TEMA, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Margarida C Coelho
- Department of Mechanical Engineering, TEMA, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Mário Andrade
- Department of Mechanical Engineering, TEMA, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Carlos Borrego
- Department of Environment and Planning, CESAM, University of Aveiro, 3810-193 Aveiro, Portugal
| | - Ana I Miranda
- Department of Environment and Planning, CESAM, University of Aveiro, 3810-193 Aveiro, Portugal
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Yi BW, Zhang S, Wang Y. Estimating air pollution and health loss embodied in electricity transfers: An inter-provincial analysis in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 702:134705. [PMID: 31726341 DOI: 10.1016/j.scitotenv.2019.134705] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 09/08/2019] [Accepted: 09/27/2019] [Indexed: 06/10/2023]
Abstract
Electricity generation may create high levels of pollution, but its consumption is completely clean. Long-distance electricity transfers make the allocation of environmental externalities caused by electricity generation unfair at the regional level. This paper provides a generalized approach that can be used to evaluate air pollution and health loss embodied in electricity transfers. Impact pathway approach is combined with a network approach to evaluate embodied direct health loss and a sophisticated evaluation of air pollution diffusion is implemented to assess indirect environmental impacts between regions. Using China's inter-provincial power transmission as an example, this paper also reveals various air pollutant and health loss transfer patterns among the nation's provinces. The results emphasize the importance of characterizing the embodied environmental effects in electricity transfer through health losses rather than air pollution emissions. The inter-regional indirect impacts due to the diffusion of pollutants must be considered when examining the embodied health losses, which is even higher than the direct impact on the local. Several central regions in China, adjacent to the major electricity-export provinces, do not export a large amount of electricity, yet their health losses have increased significantly due to nationwide power transfers. The direct external health costs of electricity generation in China's major power-exporting provinces are relatively low. However, when indirect impacts are considered, external costs in the central and northern regions increase significantly. Therefore, the regional environmental benefits of shifting electricity generation to resource-rich remote areas are greatly reduced for many pairs of provinces.
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Affiliation(s)
- Bo-Wen Yi
- School of Economics & Management, Beihang University, Beijing 100191, China
| | - Shaohui Zhang
- School of Economics & Management, Beihang University, Beijing 100191, China; International Institute for Applied Systems Analysis (IIASA), Schlossplatz 1, A-2361 Laxenburg, Austria.
| | - Ya Wang
- Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
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Chung CJ, Hsieh YY, Lin HC. Fuzzy inference system for modeling the environmental risk map of air pollutants in Taiwan. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 246:808-820. [PMID: 31228694 DOI: 10.1016/j.jenvman.2019.06.038] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 06/10/2019] [Accepted: 06/10/2019] [Indexed: 06/09/2023]
Abstract
This study aimed to improve the uncertainty in spatial data of risk assessment through a Fuzzy inference system (FIS) as a way to conduct an environmental risk map of air pollution in Taiwan. In modeling, the feature inputs of FIS included the geographic coordinates and time, while the outputs are the pollutant concentrations. The outputs are supplements to the concentration contour on the map in comparison with Kriging interpolation. In our model, the FIS was designed using the official open data of air pollutants, including Pb and PM2.5 that were collected from the monitoring stations in mid-southern Taiwan. The model involved data filtration and imputation in the preliminary scheme to extract the historical data for analysis. We used the data of Pb (2001-2013) and PM2.5 (2006-2013) for the training process, and then used the data from 2014 to 2015 for validation. Our model was able to compute the smaller errors of inferred and measured values of Pb and PM2.5 than the conventional method. The approach was applied to deduce the exposure of PM2.5 distributed over the Taiwan Island in accordance with the governmental open data of seventy-three stations during 2006-2016 in order to produce our risk map. The designed model upon Fuzzy inference accesses potential risks of spatiotemporal exposures in the unmeasured locations with feasibility and adaptability for environmental management.
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Affiliation(s)
- Chi-Jung Chung
- Department of Health Risk Management, College of Public Health, China Medical University, Taichung, Taiwan; and Department of Medical Research, China Medical University Hospital, Taichung, Taiwan.
| | - Yun-Yu Hsieh
- Department of Health Risk Management, College of Public Health, China Medical University, Taichung, Taiwan.
| | - Hsueh-Chun Lin
- Department of Health Services Administration and Department of Health Risk Management, College of Public Health, China Medical University, 91 Hsueh-Shih Rd., Taichung, 40402, Taiwan.
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Strbova K, Ruzickova J, Raclavska H. Application of multivariate statistical analysis using organic compounds: Source identification at a local scale (Napajedla, Czechia). JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 238:434-441. [PMID: 30870675 DOI: 10.1016/j.jenvman.2019.03.035] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 02/27/2019] [Accepted: 03/07/2019] [Indexed: 06/09/2023]
Abstract
The study aimed to apply novel source classification tool for local scale air pollution assessment reducing the total number of organic compounds in the model. Samples of particulate matter (PM) were collected in the town of Napajedla (South-eastern Czech Republic) in 2016. The industrial sector of the town is represented by plastics processing and manufacturing, as well as by mechanical engineering. Analytical technique of pyrolysis chromatography with mass spectroscopy detection was employed to identify organic species in the PM10 fraction. Two datasets (465 determined organic compounds and 50 selected organic markers) were used and compared by multivariate analysis - principal component analysis followed with hierarchical clustering on principal components incorporating compositional data approach. Three resulting clusters were observed in both cases. The cluster representing measurements near plastic processing and manufacturing plants was identical in both the analysed datasets with the same organic compounds that characterized resulting cluster Consequently, leading markers for plastic processing and manufacturing sources were suggested (bumetrizole, bis(tridecyl)phthalate, mono(2-ethylhexyl)phthalate). Other two clusters varied among the analysed datasets, however, dataset with selected markers showed more reliable outcomes. The results imply that concept of using only selected organic marker species with the compositional approach in multivariate statistical methods is sufficient and allows properly distinguishing the main air pollution sources between sampling locations even at a small urban scale.
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Affiliation(s)
- Kristina Strbova
- ENET Centre - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. Listopadu 15/2172, 708 33, Ostrava-Poruba, Czech Republic; Department of Power Engineering, Faculty of Mechanical Engineering, VŠB - Technical University of Ostrava, 17. Listopadu 15/2172, 708 33, Ostrava-Poruba, Czech Republic; Frank Laboratory of Neutron Physics, Joint Institute for Nuclear Research, Joliot-Curie 6, 141980, Dubna, Moscow region, Russia.
| | - Jana Ruzickova
- ENET Centre - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. Listopadu 15/2172, 708 33, Ostrava-Poruba, Czech Republic.
| | - Helena Raclavska
- ENET Centre - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. Listopadu 15/2172, 708 33, Ostrava-Poruba, Czech Republic; Department of Geological Engineering, Faculty of Mining and Geology, VŠB - Technical University of Ostrava, 17. Listopadu 15/2172, 708 33, Ostrava-Poruba, Czech Republic.
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Růžičková J, Raclavská H, Kucbel M, Raclavský K, Šafář M, Švédová B. The possibilities to identify combusted fuel based on an analysis of ash from local heating. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2018; 219:269-276. [PMID: 29747105 DOI: 10.1016/j.jenvman.2018.05.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 04/21/2018] [Accepted: 05/01/2018] [Indexed: 06/08/2023]
Abstract
Combustion of undesirable components with a high calorific value (waste: plastics, rubber, chipboard, plywood etc.) contribute to an increased emissions of PM particles. The possibility of identification of non-desirable fuels was verified by analysis of unburned carbon from bottom ash by means of pyrolysis-GC/MS. Compounds derived from thermal conversion of main wood components in the unburned carbon are formed by aldehydes, ketones, alkanes, alkenes, alkanoates, polycyclic aromatic hydrocarbons, compounds containing benzene, compounds containing phenol and nitrogen. Unburned carbon from plywood/chipboard contains compounds with nitrogen (heterocyclic and aliphatic) in increased concentrations (33-51 ng/mg) compared with unburned carbon from pure wood (7-12 ng/mg). The concentrations increased almost two times were proved for compounds containing phenols in unburned carbon from wood composite. Total amount of determined organic compounds is also almost two times higher than that contained in unburned carbon from wood. The indication of waste wood combustion from unburned carbon is possible using the ratio: phenol/(2-methylphenol+4-methylphenol).
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Affiliation(s)
- Jana Růžičková
- ENET - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic.
| | - Helena Raclavská
- ENET - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic; Institute of Geological Engineering, Faculty of Mining and Geology, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic.
| | - Marek Kucbel
- ENET - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic; Institute of Environmental Engineering, Faculty of Mining and Geology, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic.
| | - Konstantin Raclavský
- ENET - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic.
| | - Michal Šafář
- ENET - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic; Institute of Environmental Engineering, Faculty of Mining and Geology, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic.
| | - Barbora Švédová
- ENET - Energy Units for Utilization of Non-Traditional Energy Sources, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic; Department of Power Engineering, Faculty of Mechanical Engineering, VŠB - Technical University of Ostrava, 17. listopadu 15/2172, 708 33 Ostrava-Poruba, Czech Republic.
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Tian X, Dai H, Geng Y, Wilson J, Wu R, Xie Y, Hao H. Economic impacts from PM 2.5 pollution-related health effects in China's road transport sector: A provincial-level analysis. ENVIRONMENT INTERNATIONAL 2018; 115:220-229. [PMID: 29604538 DOI: 10.1016/j.envint.2018.03.030] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Revised: 03/15/2018] [Accepted: 03/19/2018] [Indexed: 06/08/2023]
Abstract
Economic impact assessments of air pollution-related health effects from a sectoral perspective in China is still deficient. This study evaluates the PM2.5 pollution-related health impacts of the road transport sector on China's economy at both national and provincial levels in 2030 under various air mitigation technologies scenarios. Health impacts are estimated using an integrated approach that combines the Greenhouse Gas and Air Pollution Interactions and Synergies (GAINS) model, a computable general equilibrium (CGE) model and a health model. Results show that at a national level, the road transport sector leads to 163.64 thousand deaths per year, increases the per capita risk of morbidity by 0.37% and accounts for 1.43 billion Yuan in health care expenditures. We estimate 442.90 billion Yuan of the value of statistical life loss and 2.09 h/capita of work time loss in 2015. Without additional control measures, air pollution related to the transport sector will cause 177.50 thousand deaths in 2030, a 0.40% per capita increase in the risk of morbidity, accounting for 4.12 billion Yuan in health care expenditures, 737.15 billion Yuan of statistical life loss and 2.23 h/capita of work time loss. Based on our model, implementing the most strict control strategy scenario would decrease mortality by 42.14%, morbidity risk by 42.14%, health care expenditures by 41.94%, statistical life loss by 26.22% and hours of work time loss by 42.65%, comparing with the no control measure scenario. In addition, PM2.5 pollution from the road transport sector will cause 0.68% GDP loss in 2030. At a provincial level, GDP losses in 14 out of 30 provinces far exceed the national rate. Henan (1.20%), Sichuan (1.07%), Chongqing (0.99%), Hubei (0.94%), and Shandong (0.90%) would experience the highest GDP loss in 2030. Implementing control strategies to reduce PM2.5 pollution in the road transport sector could bring positive benefits in half of the Chinese provinces especially in provinces that suffer greater health impacts from the road transport sector (such as Henan and Sichuan).
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Affiliation(s)
- Xu Tian
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hancheng Dai
- College of Environmental Sciences and Engineering, Peking University, No.5 Yiheyuan Road, Beijing 100871, China.
| | - Yong Geng
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China.
| | - Jeffrey Wilson
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Rui Wu
- Business School, Nanjing Normal University, No. 1 Wenyuan Road, Nanjing, 210023, China; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yang Xie
- Social and Environmental Systems Division, National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba City, Ibaraki 305-8506, Japan
| | - Han Hao
- State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing 100084, China
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Health benefits of a reduction of PM 10 and NO 2 exposure after implementing a clean air plan in the Agglomeration Lausanne-Morges. Int J Hyg Environ Health 2017; 220:829-839. [PMID: 28411064 DOI: 10.1016/j.ijheh.2017.03.012] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2017] [Indexed: 11/21/2022]
Abstract
Exposure to urban air pollution has been associated with adverse effects on cardio-vascular and respiratory health, both short and long term. Consequently, governments have applied policies to reduce air pollution. Quantitative health impact assessments of hypothetic changes in air pollution have been conducted at national and global level, but assessments of observed air pollution changes associated with specific clean air policies at a local or regional scale remain scarce. This study estimates health impacts attributable to a decrease in PM10 and NO2 exposure in the Agglomeration of Lausanne-Morges (ALM), Switzerland, between 2005 and 2015, corresponding to the implementation period of a supra-municipal plan of measures to reduce air pollution in different sectors such as transport, energy, and industry (called Plan OPair 05). The health impact assessment compares health effects attributed to air pollution exposure levels in 2015 (reference case) with those in 2005 (counterfactual scenario), using 2015 as baseline for all other input data. In the ALM, the modeled PM10 exposure reduction of 3.3μg/m3 from 2005 to 2015 prevents 26 premature deaths (equivalent to around 290 years of life lost), 215 hospitalization days due to cardio-vascular and respiratory diseases as well as approximately 47,000 restricted activity days annually. Monetized health impacts of the reduction of PM10 exposure are valued at approximately CHF 36 million annually. Immaterial costs, mainly related to the economic valuation of years of life lost, dominate the monetized health impacts (90% of total value), while savings at the workplace (net loss in production and reoccupation costs) amount to about CHF 1.9 million, and savings in health care costs to about CHF 0.5 million. The assessment is sensitive to the value assigned to immaterial costs and to uncertainties in the relative risk estimates, whereas variations in the baseline year (i.e. using 2005 data instead of 2015 data) affect results to a much lower degree. The alternative calculation based on NO2 exposure, which dropped by 5.6μg/m3, suggests the prevention of 51 premature deaths (equivalent to around 550 years of life lost) overall impacts valued at CHF 49 million. All in all, the reduction in mortality due to the air quality improvements accounts for (depending on the considered pollutant) about 1% to 2% of total all-cause annual mortality in the ALM population or 4-8 times larger than the annual traffic fatalities in the ALM.
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