A varying-coefficient regression approach to modeling the effects of wind speed on the dispersion of pollutants

Environmental and Ecological Statistics - The real-world monitoring system of air pollution ordinarily collects data about pollutant concentration levels at pollution sources and monitors stations...     

Source apportionment of polycyclic aromatic hydrocarbons in Lake Baikal water and adjacent air layer

The composition of polycyclic aromatic hydrocarbons (PAHs) in Lake Baikal water and adjacent air layer and PAH emission composition profiles of possible sources were investigated. Analysis of emission composition data showed that the source profiles could not be grouped by fuel type or pyrogenic/petrogenic origin. Because of the similarity of source PAH profiles, the drawing of 3D mixing diagrams was the only way to check whether some of the potential PAH sources were the true sources. The mixing diagrams showed that the sources of air pollution were paper mills and wood burning and that the sources of water pollution were coal-fired and oil-fired boilers. The common source for both air and water was only oil and petroleum products. To determine the locations of PAH sources, their contributions to air and water pollution were calculated and mapped. Based on the results, air and water were polluted from both local and regional sources. The location of the zone influenced by a particular source was conditioned by physical properties of source emission, direction of air/water flows that transfer PAHs and temperature differences between mixing air/water flows.     

An empirical analysis of economic strategies for controlling air pollution

In evaluating current environmental protection policy, economists often note that current regulations are more costly than necessary to meet environmental quality standards. While the a priori case is strong that current regulatory approaches are resulting in higher-than-necessary costs to attain environmental standards, there is relatively little empirical evidence to support this claim. The purpose of this paper is to supply some of the missing evidence by presenting the results of one study that assesses some of the potential savings associated with implementing economic, rather than command-and-control, regulatory approaches to abate one type of air pollution in one region of the country. Specifically, the paper examines the costs of meeting a prospective short-term standard for nitrogen dioxide under a range of alternative emissions control strategies for stationary sources of nitrogen oxide emissions in the Chicago Air Quality Control Region. The alternative strategies that are considered range from those that might result under current regulatory policy to those that economic policy approaches (such as emissions charges or marketable permits) are designed to implement. The analysis shows that the most efficient program of emissions controls may be more than an order of magnitude less costly than current regulatory strategies, and that economic approaches have additional advantages over more conventional regulatory approaches.     

Spatial effects and strategic behavior in a multiregional transboundary pollution dynamic game

We analyze a transboundary pollution differential game where pollution control is spatially distributed among a number of agents with predetermined spatial relationships. The analysis emphasizes, first, the effects of the different geographical relationships among decision makers; and second, the strategic behaviour of the agents. The dynamic game considers a pollution stock (the state variable) distributed among one large region divided in subregions which control their own emissions of pollutants. The emissions are also represented as distributed variables. The dynamics of the pollution stock is defined by a parabolic partial differential equation. We numerically characterize the feedback Nash equilibrium of a discrete-space model that still captures the spatial interactions among agents. We evaluate the impact of the strategic and spatially dynamic behaviour of the agents on the design of equilibrium environmental policies.     

A Bayesian hierarchical model for assessing the impact of human activity on nitrogen dioxide concentrations in Europe

Ambient concentrations of many pollutants are associated with emissions due to human activity, such as road transport and other combustion sources. In this paper we consider air pollution as a multi-level phenomenon on a continental scale within a Bayesian hierarchical model. We examine different scales of variation in pollution concentrations ranging from large scale transboundary effects to more localised effects which are directly related to human activity. Specifically, in the first stage of the model, we isolate underlying patterns in pollution concentrations due to global factors such as underlying climate and topography, which are modelled together with spatial structure. At this stage measurements from monitoring sites located within rural areas are used which, as far as possible, are chosen to reflect background concentrations. Having isolated these global effects, in the second stage we assess the effects of human activity on pollution in urban areas. The proposed model was applied to concentrations of nitrogen dioxide measured throughout the EU for which significant increases are found to be associated with human activity in urban areas. The approach proposed here provides valuable information that could be used in performing health impact assessments and to inform policy.     

Cost-sharing approach for air quality control implementation A case study

The objective of the study was to investigate and develop new alternative approaches to effectively meeting the federal SOx and particulate ambient air quality standards at cost savings. Since air pollution control costs would very likely be passed along to the consumer, it is in the best interests of the consumer and industry to find the least-cost alternative policies. Cost-sharing possesses advantages not shared by other control schemes, such as emissions taxes, auctioning of “pollution certificates,” or other methods. The results of this paper indicate that the cost-sharing approach is useful for particulates control in order to minimize the burden of plants already performing substantial control who may require significant added capital investment beyond their initial amount. For SO_ξ emissions control the cost-sharing analysis calculations show significant savings in nearly all situations, whether or not stack gas treatment methods were assumed available. Furthermore, the cost-sharing approach may allow further savings when the particular cost requirements of an individual firm differ substantially from the average engineering cost estimates. A cost-sharing option should thus be included in implementation plans as an option to be used by industries at their own initiative. The spatial characteristics of emissions resulting from a particular application of the cost-sharing approach are considered. A spatial airshed emissions allocation model is discussed as a useful method of evaluating cost sharing.     

苏州市区空气污染对园林香樟,枫香植物生长的影响

本文测定了苏州市园林和效区香樟、枫香的光合作用、叶绿素含量、新梢长度、叶片长度与叶片宽度等生长因子,发现市区园林植物生长均受到抑制,其原因是空气污染造成的。提出了调整产业结构、集中供热、点源和面源控制、地面扬尘以及汽车气控制的整治措施,加以根治苏州区空气污染,改善城市生态环境。     

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.     

Cars on crutches: How much abatement do smog check repairs actually provide?

Not as much abatement as has been presumed. Smog check programs aim to curb tailpipe emissions from in-use vehicles by requiring repairs whenever emissions, measured at regular time intervals, exceed a certain threshold. Using data from California, we estimate that on average 41% of the initial emissions abatement from repairs is lost by the time of the subsequent inspection, normally two years later. Our estimates imply that the cost per pound of pollution avoided is an order of magnitude greater for smog check repairs than alternative policies such as new-vehicle standards or emissions trading among industrial point sources.     

基于小流域尺度的目标抗生素排放量估算方法——以梅江流域为例

抗生素的大量使用和排放造成的环境污染和生态风险问题日益突出,抗生素排放量的估算是评价流域内抗生素污染程度的重要指标,但目前抗生素排放量估算方法尚不完善。本研究以梅江流域为例,建立了适合小流域尺度的典型抗生素排放量估算方法,计算了四环素类抗生素(TCs)向不同环境相的排放量并分析了其主要来源。结果表明:2016年梅江流域TCs排放量为8 558.1 kg,不同行政区抗生素排放量差异较大,其中梅江镇受人口密度及养殖密度影响,抗生素排放量最大,高达1 224.4 kg;同时流域内不同抗生素的排放量也有所不同,其大小顺序为强力霉素(DXC)土霉素(OTC)四环素(TC)金霉素(CTC);TCs受排放源、排放途径等因素影响,以进入环境水相及土壤相为主,其中进入水相中的抗生素主要来自人类及生猪粪便,进入土壤相中的抗生素主要来自生猪及三黄鸡粪便。梅江小流域抗生素具有潜在的生态风险,应加强抗生素使用管理。该研究为我国小尺度流域目标抗生素排放量的估算提供了十分有效的方法。     

珠江三角洲城市群空气污染实例分析

对2001年冬季珠江三角洲城市群典型空气污染过程和原因进行分析,指出广州、佛山、南海、香港、澳门、深圳、珠海、顺德等城市空气污染变化有很强的同步性,同时各有特点;地区空气污染受天气过程影响,同时城市污染因地理位置和经济条件而各有特点;污染源排放控制要有地区性的规划,各个城市又要有重点.     

The optimality and feasibility of uniform air pollution controls

An optimal control problem is developed which minimizes both the social damages of pollution concentrations and the private costs of emission abatement subject to a differential equation relating emissions and concentrations. A specific use of the model is to analyze the optimality and feasibility of uniform controls on emissions and concentrations across an air shed.     

城市大气污染治理规划方法

本文介绍了用于治理发展中国家城市大气污染的规划方法。它通过对城市大气污染的现状进行定量分析，确定主要污染分担源。用基础削减量、平权削减量、源强和经济优化削减量综合确定城市削减排放总量以及分配排放量的削减方案和筹集削减排放量的经费。     

Cost-Effective Policies to Improve Urban Air Quality in Santiago, Chile

This paper examines the applicability of market-based incentives for controlling emissions of particulate matter from fixed sources, in a developing-country context. It uses Santiago, Chile as a case study. A linear programming model has been developed to establish the costs of achieving different air quality targets using marketable permits and command-and-control (CAC) policies. The main conclusion is that an ambient permit system (APS) substantially reduces compliance costs of achieving a given air quality target at each receptor location in the city. Consequently, the use of permits is warranted. However, spatial differentiation of permits is required, thus complicating the design and use of such an instrument. Moreover, the reduction in compliance costs under APS is significantly less when the air quality targets imposed for each receptor location are the same as those achieved by other CAC policies.     

A CFD-based wind solver for an urban fast response transport and dispersion model

In many cities, ambient air quality is deteriorating leading to concerns about the health of city inhabitants. In urban areas with narrow streets surrounded by clusters of tall buildings, called street canyons, air pollution from traffic emissions and other sources may accumulate resulting in high pollutant concentrations. For various situations, including the evacuation of populated areas in the event of an accidental or deliberate release of chemical, biological and radiological agents, it is important that models should be developed that produce urban flow fields quickly. Various computational techniques have been used to calculate these flow fields, but these techniques are often computationally intensive. Most fast response models currently in use are at a disadvantage in these cases as they are unable to correlate highly heterogeneous urban structures with the diagnostic parameterizations on which they are based. In this paper, a novel variant of the popular projection method for solving the Navier–Stokes equations has been developed and applied to produce fast and reasonably accurate parallel computational fluid dynamics (CFD) solutions for flow in complex urban areas. This model, called QUIC-CFD represents an intermediate balance between fast (on the order of minutes for a several block problem) and reasonably accurate solutions. This paper details the solution procedure and validates this model for various simple and complex urban geometries.     

城市大气环境监测优化布点模糊优选模型及应用实例

文章根据城市大气环境监测优化布点的模糊性,提出了一种模糊环境条件下的模糊聚类与模糊识别理论模型,并且在山东省肥城等市成功应用。结合统计方法确定出的大气监测优化点位,不但具有代表性和整体性,而且具有较高的分辨率,能快速准确地、最大范围地反映出该区域的环境空气质量状况、大气污染扩散规律、污染源分布特点、污染气象及地理位置特征,为环境管理和政府决策提供可靠依据。     

Rapid synthesis of mono/bimetallic (Zn/Co/Zn–Co) zeolitic imidazolate frameworks at room temperature and evolution of their CO2 uptake capacity

Environmental Chemistry Letters - Carbon dioxide (CO2) emissions from fossil fuels cause air pollution and lead to adverse impact on environment. To achieve low-carbon economy, capturing CO2 in the...     

Local production,downward and regional transport aggravated surface ozone pollution during the historical orange-alert large-scale ozone episode in eastern China

Increasing severe and persistent ozone pollution in China has resulted in serious harm to human health in recent years, yet the precise pollution sources are poorly known because there is few knowledge on large-scale extreme ozone episodes. Here, we studied the formation of the historical orange-alert regional ozone episode in eastern China on 6 June, 2021, by combining process analysis, integrated source apportionment modelling, and chemical and meteorological data. Results show that during the pollution episode, 94% of cities in eastern China suffered ozone pollution, and 39% had daily maximum 8-h average ozone concentrations higher than 100 ppb. This is explained by favorable local ozone formation and transports provided by the prevailing northwestern winds in the upper air, and by sinking atmospheric motions favoring the persistence of high surface ozone concentrations. During daytime, local photochemical production induced an ozone increase of 0.3–28.4 ppb h^?1 and vertical transport induced an ozone increase of 0.4–56.1 ppb h^?1. As a consequence, vertical downward transport of ozone generated in the upper air by photochemical reactions aggravated surface ozone pollution. Surface ozone concentrations include 25.8–53.9% of ozone from local provincial emissions, 0–42.6% of ozone from inter-regional transports from neighboring regions, 4.6–23.1% of ozone from outer-regional transport, and 13.6–52.9% of ozone from boundary conditions in the selected cities. Overall, our findings show that favorable meteorological conditions promoted the chemical productions of ozone on the surface and at high altitudes, thus resulting in this heavy ozone pollution. In addition, regional and vertical downward transports of aloft ozone further aggravated the surface ozone pollution, leading to the large-scale extreme ozone pollution episode.

     

Locating major PM10 source areas in Seoul using multivariate receptor modeling

Identifying the major sources contributing to air pollution is a problem of fundamental importance in developing effective air quality management plans. Multivariate receptor modeling aims to achieve this goal by unfolding the air pollution data into components associated with different sources based on factor analysis models. We analyze the PM₁₀ data obtained from 17 monitoring sites in Seoul to locate the major source regions using multivariate receptor modeling. The model uncertainty caused by the unknown number of sources and identifiability conditions is assessed by posterior probability of each model. The estimated source spatial profiles seem to be consistent with our prior expectation about the PM₁₀ sources in Seoul.     

Impacts of methanol fuel on vehicular emissions: A review

● Methanol effectively reduces CO, HC, CO₂, PM, and PN emissions of gasoline vehicles. ● Elemental composition of methanol directly affects the reduction of emissions. ● Several physicochemical properties of methanol help reduce vehicle emissions. The transport sector is a significant energy consumer and a major contributor to urban air pollution. At present, the substitution of cleaner fuel is one feasible way to deal with the growing energy demand and environmental pollution. Methanol has been recognized as a good alternative to gasoline due to its good combustion performance. In the past decades, many studies have investigated exhaust emissions using methanol-gasoline blends. However, the conclusions derived from different studies vary significantly, and the explanations for the effects of methanol blending on exhaust emissions are also inconsistent. This review summarizes the characteristics of CO, HC, NO_x, CO₂, and particulate emissions from methanol-gasoline blended fuels and pure methanol fuel. CO, HC, CO₂, particle mass (PM), and particle number (PN) emissions decrease when methanol-blended fuel is used in place of gasoline fuel. NO_x emission either decreases or increases depending on the test conditions, i.e., methanol content. Furthermore, this review synthesizes the mechanisms by which methanol-blended fuel influences pollutant emissions. This review provides insight into the pollutant emissions from methanol-blended fuel, which will aid policymakers in making energy strategy decisions that take urban air pollution, climate change, and energy security into account.