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      Long-Term Atmospheric Visibility Trends and Their Relations to Socioeconomic Factors in Xiamen City, China

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          Abstract

          Atmospheric visibility (AV), one of the most concerning environmental issues, has shown a continuous decline in China’s urban areas, especially in Southeastern China. Existing studies have shown that AV is affected by air pollutants and climate change, which are always caused by human activities that are linked to socioeconomic factors, such as urban size, residents’ activities, industrial activities, and urban greening. However, the contribution of socioeconomic factors to AV is still not well understood, especially from a long-term perspective, which sometimes leads to ineffective policies. In this study, we used the structural equation model (SEM) in order to quantify the contribution of socioeconomic factors on AV change in Xiamen City, China, between 1987–2016. The results showed that the annual average AV of Xiamen between 1987–2016 was 12.00 km, with a change rate of −0.315 km/year. Urban size, industrial activities, and residents’ activities were found to have a negative impact on AV, while the impact of urban greening on the AV was modest. Among all of the indicators, the number of resident’s vehicles, total retail sales of consumer goods, and household electricity consumption were found to have the highest negative direct impact on the AV. The resident population, urban built-up area, and secondary industry gross domestic product (GDP) were the most important indirect impact factors. Based on our results, we evaluated the existing environmental regulations and policies of Xiamen City.

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          Urban forests and pollution mitigation: analyzing ecosystem services and disservices.

          The purpose of this paper is to integrate the concepts of ecosystem services and disservices when assessing the efficacy of using urban forests for mitigating pollution. A brief review of the literature identifies some pollution mitigation ecosystem services provided by urban forests. Existing ecosystem services definitions and typologies from the economics and ecological literature are adapted and applied to urban forest management and the concepts of ecosystem disservices from natural and semi-natural systems are discussed. Examples of the urban forest ecosystem services of air quality and carbon dioxide sequestration are used to illustrate issues associated with assessing their efficacy in mitigating urban pollution. Development of urban forest management alternatives that mitigate pollution should consider scale, contexts, heterogeneity, management intensities and other social and economic co-benefits, tradeoffs, and costs affecting stakeholders and urban sustainability goals. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Tree and forest effects on air quality and human health in the United States.

              Trees remove air pollution by the interception of particulate matter on plant surfaces and the absorption of gaseous pollutants through the leaf stomata. However, the magnitude and value of the effects of trees and forests on air quality and human health across the United States remains unknown. Computer simulations with local environmental data reveal that trees and forests in the conterminous United States removed 17.4 million tonnes (t) of air pollution in 2010 (range: 9.0-23.2 million t), with human health effects valued at 6.8 billion U.S. dollars (range: $1.5-13.0 billion). This pollution removal equated to an average air quality improvement of less than one percent. Most of the pollution removal occurred in rural areas, while most of the health impacts and values were within urban areas. Health impacts included the avoidance of more than 850 incidences of human mortality and 670,000 incidences of acute respiratory symptoms. Published by Elsevier Ltd.
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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                12 October 2018
                October 2018
                : 15
                : 10
                : 2239
                Affiliations
                [1 ]College of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China; weicongfufj@ 123456163.com (W.F.); fafulqy@ 123456gmail.com (Q.L.); fjchenziru@ 123456126.com (Z.C.); zhuzhipeng512@ 123456126.com (Z.Z.)
                [2 ]Urban Forestry Research in Action, Department of Forest Resources Management, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada; cecil.konijnendijk@ 123456ubc.ca
                [3 ]Collaborative for Advanced Landscape Planning, Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada
                [4 ]Faculty of Forestry, The University of British Columbia, Vancouver, BC V6T 1Z4, Canada; emily.dang@ 123456hotmail.com
                [5 ]Faculty of built environment, University of New South Wales, Sydney 2052, Australia; jinda.qi@ 123456student.unsw.edu.au
                [6 ]College of Architecture & Urban Planning, Guangzhou University, Guangzhou 510006, China; landwangmo@ 123456outlook.com
                Author notes
                [* ]Correspondence: fjdjw@ 123456fafu.edu.cn ; Tel.: +86-136-0952-5156
                Author information
                https://orcid.org/0000-0001-8752-6256
                Article
                ijerph-15-02239
                10.3390/ijerph15102239
                6211101
                30322076
                1ee9637f-5b23-4b71-8892-ce03a2c23101
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 September 2018
                : 11 October 2018
                Categories
                Article

                Public health
                residents’ activities,industrial activities,structural equation model,air quality

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