Air Quality Assessment Standards and Sustainable Development in Developing Countries

doi:10.3390/books978-3-03928-015-5

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Paperback

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Keywords

relevance analysis; spatial and temporal distribution characteristics; PM_2.5; Beijing; environmental target-setting; performance; hierarchical linear model; environmental governance; China; air quality; air quality evaluation standards; AQI; Jiangsu province; fuzzy comprehensive evaluation; emission inventory; livestock; greenhouse gases; air pollutant; vehicle; pollution; measurement and environment; whistleblowing; air pollution; evolutionary game; environmental supervision; AQI indicators; air pollution; collaborative filtering; Beijing-Tianjin-Hebei region; PM_2.5 concentrations; functional principal component analysis; adaptive clustering analysis; functional ANOVA; spatial and temporal difference; entropy weight method; fuzzy optimization model; air quality; primary pollutants; air quality; comprehensive pollution index analysis; grey correlation analysis; Euclid approach degree method; PSR Model; rough set; entropy weight method; attribute reduction; haze; linear time-varying GM(1,N) model; interval grey number; Beijing; forecasting; sustainable development; wind power development; carbon emissions

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Air Quality Assessment Standards and Sustainable Development in Developing Countries

Edited by

January 2020

232 pages

ISBN978-3-03928-014-8 (Paperback)
ISBN978-3-03928-015-5 (PDF)

https://doi.org/10.3390/books978-3-03928-015-5

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This is a Reprint of the Special Issue Air Quality Assessment Standards and Sustainable Development in Developing Countries that was published in

Business & Economics

Environmental & Earth Sciences

Social Sciences, Arts & Humanities

Summary

This book brings together the latest research results of air quality assessment standards and sustainable development in developing countries. The content is full and the discussion is vivid. These articles are suitable for students and researchers at all levels seeking to understand the status of air pollution, governance standards, and governance effects in developing countries.