Welfare cost of pollution control

A model of joint-production of a conventional output and of pollutants is presented, within which continuous substitution between polluting fuels and nonpolluting inputs on the one hand and pollution control inputs on the other is allowed for. Using the steel industry as a case study, the welfare cost under an efficient policy to reduce particulate emissions is evaluated and compared with that under alternative inefficient policies. The results suggest that substantial cost savings can be made by following the “optimal” policy.     

The employment and earnings impacts of the regulation of stationary source air pollution

A model which analyzes the impacts of stationary source air pollution control regulations on the level and distribution of employment and earnings is presented. The model is an interindustry production model with endogenous price and wage determination. Consumer demand responses of households are determined by applying elasticity estimates to price and earnings changes. The model is applied to analyze the restrictions on levels of permissible emissions from stationary sources set by the 1970 Clean Air Act Amendments. The significant results found are (1) the policy has a dampening effect on the economy and (2) the expenditure, earnings, and disposable earning impacts are uniformly regressive.     

北京市空气污染季节变化规律研究及污染控制建议

北京市的空气质量问题直接关系到首都的经济发展和生态环境建设,也影响着北京在世界大都市的地位.近几年,中央政府和北京市对首都空气质量的改善也越来越重视.根据北京市环保局下设的27个测站点从2005年末到2008年初的观测资料,借助SPSS统计软件,通过对北京市各区域不同时间段的空气污染指数进行对比分析和研究,旨在探索北京市空气污染的季节性变化规律及其污染控制埘策.研究结果表明:北京的首要污染物为可吸入颗粒物;在一年当中,6-8月份的气象条件有利于大气污染物的稀释和扩散,大气环境质量相对最好:冬季受气象条件和采暖的影响.春季季风段受西北部沙尘暴的影响,大气环境质量相对较差.根据这个规律,为确保北京市中长期大气环境保护工作目标的实现,进一步降低污染排放、改善城市空气质量提出了具体的对策和建议.     

Distributional analysis of regional benefits and cost of air quality control

The methodology and results of an analysis of benefits and costs of air quality control for an urban region in Florida are given. The machinery used considers the spatial distribution of (a) emission sources, (b) the ambient levels resulting from local meteorological conditions and geographic features, and (c) the socioeconomic characteristics of the impacted population groups. This facilitates an examination of the distributional aspects of costs and benefits associated with various control scenarios. With appropriate adaptation and inputs the steps in our analysis should apply to a distributional benefit/cost analyses for any region.     

On estimating air pollution control benefits from land value studies

This paper deals with some unresolved issues in interpreting empirical property value/air pollution studies. A model is developed in which it is shown that in general regressions of property values on pollution variables do not identify the demand curve for clean air. However since the first derivative of the observed rent function is a locus of household equilibrium marginal willingnesses to pay, aggregate benefits can be calculated directly. The possibilities for obtaining approximate measures of aggregate benefits for nonmarginal changes in air quality are also discussed.     

Averting expenditure and the cost of pollution

The paper considers the relationship between the willingness to pay for environmental quality and averting expenditures—that is, the costs of measures undertaken in efforts to counteract the consequences of pollution. The models used assume perfect mobility among locations with different levels of environmental quality. The major results are: (1) Averting expenditures are not in general a good measure of willingness to pay; (2) averting expenditures are not always even a lower bound on willingness to pay; (3) even when averting expenditures are a lower bound, the difference between the level of such expenditures and willingness to pay cannot be attributed to the unavertible “aesthetic” consequences of pollution.     

Distribution of the generation of air pollution

Consumer spending creates pollution both directly and indirectly, through derived demand relationships. This paper estimates total generation of five air pollutants by family income class based on a large-scale input-output model of production, consumption, family income, and rediduals relationships. Pollution generation is shown to be disproportionately attributable to the number of families in the higher-income classes. However, it is closely correlated with the level but not the pattern of consumer spending. Comparisons are also made between distribution of pollution generation and estimates of exposure to pollution by income class as reported in the literature.     

Intercontinental transport of air pollution

There is an increasing interest on the intercontinental transport of air pollution among the three main emission regions at northern mid-latitudes: North America, Europe, and East Asia. Air pollutants with sufficient long lifetime can be transported from one continent to another. Observations from ground sites, aircraft and satellites have demonstrated this intercontinental-scale transport of air pollutants in the free troposphere. Numerical models have been applied to understand the pathways of the transport and the impact of intercontinental pollution transport. This paper reviews current observational evidence and modeling studies of intercontinental transport of ozone and its precursors, and the resulting impacts on air quality.     

Catalytic TiO2 oxidation of ethanethiol for environmentally begnin air pollution control of sulphur compounds

Volatile organic compounds containing reduced sulphur such as thiols and thioethers are released mostly from biological activities and a number of manufacturing processes, such as papermaking and petroleum refining. Environmentally benign and cost-effective air pollution control technology for reduced sulphur compounds is still a topic of research, e.g., in pulp and paper industry. Due to its advantages, photocatalytic oxidation over titanium dioxide presents a potential alternative for the air treatment strategies. The temperature influence on the reaction pathway and kinetics of gas-phase photocatalytic oxidation and thermal catalytic decomposition of ethanethiol over Degussa P25 TiO₂ was established by a continuous flow method in a simple tubular reactor at temperatures from 373 to 453 K. Kinetic parameters for ethanethiol were: adsorption enthalpy −45 kJ mol⁻¹ and activation energy 42 kJ mol⁻¹. Sulphur dioxide, carbon monoxide, carbon dioxide, acetic acid and water were identified as by-products.     

The economics of enforcing air pollution controls

The goal of this paper is to determine the likely effect on a firm's control actions of alternative implementation and enforcement policies available to the control agency. Three alternatives are studied, legal enforcement through the new source performance standards set forth by EPA, and two effluent fee enforcement alternatives. First, a generalized model of the effects of implementation and enforcement policies on the firm's control action is developed. This model assumes that the firm is an expected cost minimizer. The model is then applied to the case of particulate matter discharges from coal-fired power plants in order to estimate empirically the effect of policy alternatives on the firm's control efforts. Finally, the results of the model and its empirical application are used to develop policy functions which relate control to the values of various policy parameters. These results lead us to several policy recommendations.     

Dynamic incentive regulation of diffuse pollution

Diffuse pollution from agriculture and extractive industries reduces air and water quality and contributes to climate change. We consider a setting in which a regulator must incentivize unobserved abatement given that firms have limited liability, and when they can enter and exit. We demonstrate that a simple dynamic incentive scheme can solve this difficult regulatory problem: firms pay a constant tax and receive rebates following periods of low pollution. We apply the model to water pollution from a fracking operation and simulate the contract to explore the volatility of the firm's payments and the costs of limited liability.     

Health impacts of air pollution in China

•Impacts of air pollution on various body systems health in China were highlighted. •China’s actions to control air pollution and their effects were briefly introduced. •Challenges and perspectives of the health effects of air pollution are provided. The health effects of air pollution have attracted considerable attention in China. In this review, the status of air pollution in China is briefly presented. The impacts of air pollution on the health of the respiratory system, the circulatory system, the nervous system, the digestive system, the urinary system, pregnancy and life expectancy are highlighted. Additionally, China’s actions to control air pollution and their effects are briefly introduced. Finally, the challenges and perspectives of the health effects of air pollution are provided. We believe that this review will provide a promising perspective on the health impacts of air pollution in China, and further elicit more attention from governments and researchers worldwide.     

An integrated optimization and simulation approach for air pollution control under uncertainty in open-pit metal mine

Air Pollution Control model is developed for open-pit metal mines. Model will aid decision makers to select a cost-effective solution. Open-pit metal mines contribute toward air pollution and without effective control techniques manifests the risk of violation of environmental guidelines. This paper establishes a stochastic approach to conceptualize the air pollution control model to attain a sustainable solution. The model is formulated for decision makers to select the least costly treatment method using linear programming with a defined objective function and multi-constraints. Furthermore, an integrated fuzzy based risk assessment approach is applied to examine uncertainties and evaluate an ambient air quality systematically. The applicability of the optimized model is explored through an open-pit metal mine case study, in North America. This method also incorporates the meteorological data as input to accommodate the local conditions. The uncertainties in the inputs, and predicted concentration are accomplished by probabilistic analysis using Monte Carlo simulation method. The output results are obtained to select the cost-effective pollution control technologies for PM_2.5, PM₁₀, NO_x, SO₂ and greenhouse gases. The risk level is divided into three types (loose, medium and strict) using a triangular fuzzy membership approach based on different environmental guidelines. Fuzzy logic is then used to identify environmental risk through stochastic simulated cumulative distribution functions of pollutant concentration. Thus, an integrated modeling approach can be used as a decision tool for decision makers to select the cost-effective technology to control air pollution.     

Evidence for regional heterogeneous atmospheric particulate matter distribution in China: implications for air pollution control

Environmental Chemistry Letters - China has suffered from severe nationwide air quality degradation for decades. PM2.5, the atmospheric particulate matter with an aerodynamic equivalent diameter of...     

An empirical analysis of air pollution dose-response curves

The authors combine information from 2 million death certificates and 2 million observations from the Public Use Sample. With several strategies for controlling extraneous variation, the authors explore these data in order to measure the chronic effects of several air pollutants on white mortality rates. In the United States, approximately 140,000 deaths a year (Wo of all deaths) may be associated with air pollution. The size of this effect increases dramatically with age, with children displaying no detectable associations. Some pollutants, especially sulfate, are closely associated with many deaths, whereas other pollutants, especially ozone and nitrogen dioxide, have no apparent effect on expected lifetimes.     

Extreme value analysis of Munich air pollution data

We present three different approaches to modelling extreme values of daily air pollution data. We fitted a generalized extreme value distribution to the monthly maxima of daily concentration measures. For the exceedances of a high threshold depending on the data, the parameters of the generalized Pareto distribution were estimated. Accounting for autocorrelation, clusters of exceedances were used. To obtain information about the relationship of the exceedance of the air quality standard and possible predictors we applied logistic regression. Results and their interpretation are given for daily average concentrations of ozone and nitrogen dioxide at two monitoring sites within the city of Munich.     

A decision framework for estimating the cost of marine plastic pollution interventions

Marine plastic pollution has emerged as one of the most pressing environmental challenges of our time. Although there has been a surge in global investment for implementing interventions to mitigate plastic pollution, there has been little attention given to the cost of these interventions. We developed a decision support framework to identify the economic, social, and ecological costs and benefits of plastic pollution interventions for different sectors and stakeholders. We calculated net cost as a function of six cost and benefit categories with the following equation: cost of implementing an intervention (direct, indirect, and nonmonetary costs) minus recovered costs and benefits (monetary and nonmonetary) produced by the interventions. We applied our framework to two quantitative case studies (a solid waste management plan and a trash interceptor) and four comparative case studies, evaluating the costs of beach cleanups and waste-to-energy plants in various contexts, to identify factors that influence the costs of plastic pollution interventions. The socioeconomic context of implementation, the spatial scale of implementation, and the time scale of evaluation all influence costs and the distribution of costs across stakeholders. Our framework provides an approach to estimate and compare the costs of a range of interventions across sociopolitical and economic contexts.     

Biochemical parameters of plants as indicators of air pollution

In the present study species like Mangifera indica, Linn., Cassia fistula, Linn., and Eucalyptus hybrid were exposed to different air pollution load for short duration (active biomonitoring). Variation in biochemical parameters like chlorophyll, protein, soluble sugar free amino acid, ascorbic acid, nitrate reductase, superoxide dismutase and peroxidase in the leaves were found to be pollution load dependent. These variations can be used as indicators of air pollution for early diagnosis of stress or as a marker for physiological damage to trees prior to the onset of visible injury symptoms. Just by analyzing these biochemical indicators air quality can also be assessed.