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Allocation of control targets for PM2.5 concentration: An empirical study from cities of atmospheric pollution transmission channel in the Beijing-Tianjin-Hebei district

机译:PM2.5浓度控制目标的分配:京津冀区大气污染传输渠道城市的实证研究

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Air pollution in the form of PM2.5 can destroy the residents' health and cause heavy economic losses. How to determine the control target of PM2.5 concentration for each city according to their local conditions becomes the key to prevent and control PM2.5 pollution. Based on a series of index data selected from the aspect of land, industry, energy, population, technology and economic factors in 2016, this study determines allocation schemes of control targets for PM2.5 concentration in 28 cities of atmospheric pollution transmission channel in the Beijing-Tianjin-Hebei district under the IT-1 (35 mu g/m(3)), IT-2 (25 mu g/m(3)), IT-3 (15 mu g/m(3)) and AQG (10 mu g/m(3)) scenarios using various methods. The results show that: (1) The combination of the Super-slacks based measure (Super-SBM) model with undesirable outputs, Gini coefficient method, contribution coefficient method and Gini coefficient minimization model can inifled evaluation indexes and increase the ability to systematize and compare the allocation schemes formulated based on different regulation principles. (2) The economic development performance level under the constraint condition of PM2.5 pollution and the fairness of PM2.5 emissions corresponding to different factors exhibit significant differences among all the cities. Although the allocation scheme determined based on the equity principle can improve the fairness of PM2.5 emissions compared with the base year, the unfairness characteristic of PM2.5 emissions do not fundamentally change. (3) Regional allocation schemes of control target for PM2.5 concentration under the IT-1 scenario based on the efficiency principle or equity principle are feasible while the scheme determined based on the principle of efficiency and equity is not. The allocation schemes determined under the IT-2, IT-3 and AQG scenarios based on the equity principle are feasible while the schemes determined based on other principles are not. More attention should be paid at allocating the control target of PM2.5 concentration based on the equity principle, rather than fousing other principles in the future. (C) 2020 Elsevier Ltd. All rights reserved.
机译:PM2.5形式的空气污染可以破坏居民的健康并导致经济损失很大。如何根据当地条件确定每个城市的PM2.5浓度的控制目标成为预防和控制PM2.5污染的关键。基于2016年的土地,产业,能源,人口,技术和经济因素方面的一系列索引数据,本研究确定了在大气污染传输渠道的28个城市中PM2.5浓度的控制目标分配方案北京天津 - 河北区IT-1(35 mu g / m(3)),IT-2(25 mu g / m(3)),IT-3(15μg/ m(3))和AQG(10μg/ m(3))使用各种方法的场景。结果表明:(1)基于超硬的测量(超级SBM)模型的组合具有不希望的输出,基尼系数方法,贡献系数方法和基尼系数最小化模型可以减少评估指标并增加系统化的能力和比较基于不同调节原则制定的分配方案。 (2)PM2.5污染限制条件下的经济发展绩效水平及PM2.5对应于不同因素的排放的公平性表现出所有城市的显着差异。虽然根据股权原则确定的分配方案可以提高PM2.5排放的公平性与基准年相比,PM2.5排放的不公平性并未从根本上变化。 (3)基于效率原则或股票原则的IT-1情景下PM2.5浓度的区域分配方案是可行的,而该计划根据效率和股权原则确定。基于股权原则的IT-2,IT-3和AQG场景确定的分配方案是可行的,而基于其他原则确定的方案不是。根据股权原则,应在分配PM2.5浓度的控制目标时更多关注,而不是在将来诉诸其他原则。 (c)2020 elestvier有限公司保留所有权利。

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