An investigation of distributed lag models in the context of air pollution and mortality time series analysis

In particulate air pollution mortality time series studies, the particulate air pollution exposure measure used is typically the current day's or the previous day's air pollution concentration or a multi-day moving average air pollution concentration. Distributed lag models (DLMs) that allow for differential air pollution effects that are spread over multiple days are seen as an improvement over using a single- or multi-day moving average air pollution exposure measure. However, at the current time, the statistical properties of DLMs as a measure of air pollution exposure have not been investigated. In this paper, a simulation study is used to investigate the performance of DLMs as a measure of air pollution exposure in comparison with single- and multi-day moving average air pollution exposure measures under various forms for the true effect of air pollution on mortality. The simulation study shows that DLMs offer a more robust measure of the effect of air pollution on mortality and avoid the potential for a large negative bias compared with single- or multi-day moving average air pollution exposure measures. This is important information. In many U.S. cities, particulate air pollution concentrations are observed only once every six days, meaning it is often only possible to use single-day particulate air pollution exposure measures. The results from this paper will help quantify the magnitude of the negative bias that can result from using single-day exposure measures. The implications of this work for future air pollution mortality time series studies are discussed. The data used in this paper are concurrent daily time series of mortality, weather, and particulate air pollution from Cook County, IL, for the period 1987-1994.     

Environmental Pollution Liability Insurance in China: In Need of Strong Government Backing

Environmental pollution liability insurance was officially introduced in China only in 2006, as part of new market-based approaches for managing environmental risks. By 2012, trial applications of pollution insurance had been launched in 14 provinces and cities. More than ten insurance companies have entered the pollution insurance market with their own products and contracts. Companies in environmentally sensitive sectors and high-risk industries bought pollution insurance, and a few successful compensation cases have been reported. Still, pollution insurance faces a number of challenges in China. The absence of a national law weakens the legal basis of pollution insurance, and poor technical support stagnates further implementation. Moreover, current pollution insurance products have limited risk coverage, high premium rates, and low loss ratios, which make them fairly unattractive to polluters. Meanwhile, low awareness of environmental and social liabilities leads to limited demand for pollution insurance products by industrial companies. Hence, the pollution insurance market is not yet flourishing in China. To improve this situation, this economic instrument needs stronger backing by the Chinese state.     

An interprovincial cooperative game model for air pollution control in China

The noncooperative air pollution reduction model (NCRM) that is currently adopted in China to manage air pollution reduction of each individual province has inherent drawbacks. In this paper, we propose a cooperative air pollution reduction game model (CRM) that consists of two parts: (1) an optimization model that calculates the optimal pollution reduction quantity for each participating province to meet the joint pollution reduction goal; and (2) a model that distribute the economic benefit of the cooperation (i.e., pollution reduction cost saving) among the provinces in the cooperation based on the Shapley value method. We applied the CRM to the case of SO₂ reduction in the Beijing–Tianjin–Hebei region in China. The results, based on the data from 2003–2009, show that cooperation helps lower the overall SO₂ pollution reduction cost from 4.58% to 11.29%. Distributed across the participating provinces, such a cost saving from interprovincial cooperation brings significant benefits to each local government and stimulates them for further cooperation in pollution reduction. Finally, sensitivity analysis is performed using the year 2009 data to test the parameters’ effects on the pollution reduction cost savings.

Implications: China is increasingly facing unprecedented pressure for immediate air pollution control. The current air pollution reduction policy does not allow cooperation and is less efficient. In this paper we developed a cooperative air pollution reduction game model that consists of two parts: (1) an optimization model that calculates the optimal pollution reduction quantity for each participating province to meet the joint pollution reduction goal; and (2) a model that distributes the cooperation gains (i.e., cost reduction) among the provinces in the cooperation based on the Shapley value method. The empirical case shows that such a model can help improve efficiency in air pollution reduction. The result of the model can serve as a reference for Chinese government pollution reduction policy design.     

Dwindling regional environmental pollution through industrial structure adjustment and higher education development

This paper uses Chinese provincial data from 2006 to 2021 as a sample period to study the relationship between higher education development, industrial structure adjustment, and environmental pollution. Conclusions were as follows: (1) the industry structure adjustment can reduce environmental pollution in Chinese regions except eastern, and the increase in the proportion of the tertiary industry will increase pollution emissions in the eastern region. (2) Although there is a negative correlation between higher education and environmental pollution in China, it is not significant. From different regions, the coefficients in the eastern are positive which means aggravated environmental pollution, and the coefficients in the central region are not significant, but higher education in the western region improves environmental pollution. (3) Urbanization has a significant moderating effect on the national and regional environmental pollution, but in the central and western regions, it is smaller than the eastern region; although environmental regulation has a certain inhibitory effect on environmental pollution, the coefficient in the eastern region is significantly positive, and there is a situation of “more pollution, more control.” Further, the increase of foreign direct investment will aggravate environmental pollution; although the elasticity coefficient in the eastern region is negative, there is a trend of improving environmental pollution, but it is not significant. The study holds promising implications for the development of policies related to education, industry, and the environment. Through the research on the relationship between the three, exploring and improving the regional environmental pollution level from the perspective of higher education and industrial structure have important practical significance for the regional green development.

     

Fiscal decentralization,government innovation preference,and haze pollution

Local governments are the dominant players in haze pollution control; furthermore, financial power reconstruction affects the effectiveness of haze control. Government innovation preference achieves win-win results for environmental protection and economic development by increasing innovation support. Therefore, a moderating variable for government innovation preference was added to the fiscal decentralization effect on haze pollution, and their interactive effect on haze pollution was studied. This study was conducted in 30 provincial regions. Thus, the severity of regional haze pollution differs because of temporal heterogeneity and asynchronous development. Furthermore, we analyzed the impact on haze pollution from the perspectives of the temporal and spatial differences in different regions of China. The results indicate that (1) fiscal decentralization increases haze pollution, while government innovation preferences control it. (2) In a local evaluation model with a diversified background, fiscal decentralization restrains haze pollution, and pollution source complexity reduces government innovation preference’s control pollution function. The interaction term revealed that government innovation preferences had a significant moderating effect. (3) Fiscal decentralization and government innovation preferences control the heterogeneity of haze pollution in different regions.

     

滇池污染状况及其综合治理

滇池污染已引起各级政府和市民的广泛关注,被列为“九五”国家“三湖”、“三河”重点治理项目之一。对滇池污染及治理的研究始于８０年代初期,迄今为止已取得了大量的研究成果,找到了一些比较有效的治理技术,本文将分析滇池主要污染问题,简述滇池污染的治理项目,对效果进行简要分析并对治理措施进行讨论。     

Foreign direct investment,environmental regulation,and environmental pollution: an empirical study based on threshold effects for different Chinese regions

On the basis of previous studies on the relations among foreign direct investment (FDI), environmental regulation, and environmental pollution, this work uses provincial panel data from 2000 to 2014 to study the effects of FDI and environmental regulation on environmental pollution by applying the panel-corrected standard error (PCSE) method. This paper then utilizes environmental regulation as the threshold variable to estimate the threshold effects of environmental regulation on FDI’s influence on environmental pollution in a threshold regression model for the eastern, central, and western regions of China. The results show that stricter environmental regulation can substantially reduce the pollution in each region. FDI can decrease environmental pollution in the eastern and central regions, but it can increase pollution in the western region. There are double-threshold effects of environmental regulation on the effects of FDI on environmental pollution in each region. When the environmental regulation level is between the first threshold and the second threshold, FDI can decrease environmental pollution much more in the eastern and central regions and increase environmental pollution much less in the western region.

     

土壤及土壤-植物系统中复合污染的研究进展

土壤复合污染是土壤污染的主要存在形式 ,在分析中 ,主要从土壤重金属复合污染和土壤重金属 有机污染物复合污染方面进行了较为全面的综述 ,评价了土壤复合污染的多种表征方法 ,并且讨论了该研究当前仍存在的一些问题     

广东区域酸雨污染模拟研究

运用数值模拟方法，使用一年365日的风速资料、12个月的降水资料和环境监测资料以及年平均的污染源资料，对广东地区的酸雨污染进行了较细致的分析。结果认为，以日为基础的累积计算，对于提高模拟酸雨污染的能力是很有帮助的。广东省的酸雨污染主要是由自身排放的污染物造成，外来的污染是次要的，在广东边界地区发现受到外省污染的显著痕迹。     

A real-time,dynamic early-warning model based on uncertainty analysis and risk assessment for sudden water pollution accidents

A real-time, dynamic, early-warning model (EP-risk model) is proposed to cope with sudden water quality pollution accidents affecting downstream areas with raw-water intakes (denoted as EPs). The EP-risk model outputs the risk level of water pollution at the EP by calculating the likelihood of pollution and evaluating the impact of pollution. A generalized form of the EP-risk model for river pollution accidents based on Monte Carlo simulation, the analytic hierarchy process (AHP) method, and the risk matrix method is proposed. The likelihood of water pollution at the EP is calculated by the Monte Carlo method, which is used for uncertainty analysis of pollutants’ transport in rivers. The impact of water pollution at the EP is evaluated by expert knowledge and the results of Monte Carlo simulation based on the analytic hierarchy process. The final risk level of water pollution at the EP is determined by the risk matrix method. A case study of the proposed method is illustrated with a phenol spill accident in China.     

室内电磁辐射污染与防护

基于电磁辐射污染对环境和人体健康的影响 ,探讨了目前室内电磁辐射污染的现状和室内潜在的电磁辐射污染源 ,并就室内电磁辐射污染的防护措施提出了几点建议     

Method and mechanism of chromium removal from soil: a systematic review

Environmental Science and Pollution Research - Heavy metal pollution has increasingly affected human life, and the treatment of heavy metal pollution, especially chromium pollution, is still a...     

Does the construction of network infrastructure reduce environmental pollution?—evidence from a quasi-natural experiment in “Broadband China”

This paper discusses the effect of network infrastructure on environmental pollution reduction and the realization mechanism behind it. Based on the panel data of 285 cities in China from 2005 to 2019, this study regards the “Broadband China” pilot policy as a quasi-natural experiment to clarify the pollution emission reduction effect of network infrastructure construction through differences-in-differences method and other methods. The research results show the following: (1) The Broadband China pilot policy has reduced environmental pollution, that is, the construction of network infrastructure has the effect of environmental pollution reduction. The conclusion is still established after a series of robustness tests such as parallel trend test, placebo test, and instrumental variable method. Through the heterogeneity test, it is found that the pollution reduction effect of network infrastructure construction is more obvious in non-resource-based cities, first and second tier cities, and cities in the eastern region (2). The construction of network infrastructure plays a restraining role on local environmental pollution. Due to the insufficient level of regional linkage and the siphon effect of pilot cities, the spatial spillover characteristics of the pollution reduction effect are not obvious (3). The mechanism of action shows that green innovation is an important mediating effect mechanism for network infrastructure construction to reduce environmental pollution. Cities in regions with high degree of marketization and environmental regulation can strengthen the effect of network infrastructure construction on environmental pollution reduction. The research conclusions are conducive to accelerating the development of the digital economy represented by the construction of network infrastructure and provide a useful reference for promoting the level of environmental pollution reduction and achieving high-quality development.

     

Research on the strategic interaction of China’s regional air pollution regulation: spatial interpretation of “incomplete implementation” of regulatory policies

Research on the current strategic interaction of local governments in air pollution control is a key breakthrough. Based on the theory of Chinese style decentralization, this paper puts forward a theoretical framework to explain the incomplete enforcement of air pollution regulation. Using the panel data of 30 provinces in China from 2004 to 2016, this study employs spatial Durbin model, empirically tested the inter-regional strategic interaction of air pollution regulation, and further explores the effect of performance assessment indicators on this strategic interaction. The main conclusions of this paper are as follows: (1) Empirical results confirm that adjacent provinces do exist strategic interaction of air pollution regulation. Furthermore, the strategic interaction of air pollution regulation belongs to complementarities. (2) Meanwhile, from a regional perspective, due to the low level of economic development stock and the low level of air pollution, the interaction effect of air pollution regulation strategies in northwestern region is weaker than that in southeastern region. (3) In addition, under the national sample and the southeast sample, the air environment performance assessment indicators weaken the inter-regional strategic interaction of air pollution regulation, and economic performance assessment indicators on the contrary.

     

Effects and mechanisms of the combined pollution of lanthanum and acid rain on the root phenotype of soybean seedlings

Rare earth pollution and acid rain pollution are both important environmental issues worldwide. In regions which simultaneously occur, the combined pollution of rare earth and acid rain becomes a new environmental issue, and the relevant research is rarely reported. Accordingly, we investigated the combined effects and mechanisms of lanthanum ion (La³⁺) and acid rain on the root phenotype of soybean seedlings. The combined pollution of low-concentration La³⁺ and acid rain exerted deleterious effects on the phenotype and growth of roots, which were aggravated by the combined pollution of high-concentration La³⁺ and acid rain. The deleterious effects of the combined pollution were stronger than those of single La³⁺ or acid rain pollution. These stronger deleterious effects on the root phenotype and growth of roots were due to the increased disturbance of absorption and utilization of mineral nutrients in roots.     

Public Opinion and Community Involvement

A poll conducted by Opinion Research Corp. in 1965 has indicated to the chemical industry that there is substantial public concern with air pollution only in areas where the problem is critical, that industries are considered among the prime villains, and that there is only limited public awareness of industrial efforts to deal with pollution problems and of the economic factors in community pollution control programs. Other surveys have also pointed to rising public concern with industrial pollution, coupled with a lack of wider standing of the problem. The chemical industry believes that pollution control programs will be greatly handicapped without widespread public understanding and support.     

Analysis of the impact of the forest fires in August 2007 on air quality of Athens using multi-sensor aerosol remote sensing data,meteorology and surface observations

Data from multiple satellite remote sensors are integrated with ground measurements and meteorological data to study the impact of Greek forest fires in August 2007 on the air quality in Athens. Two pollution episodes were identified by ground PM₁₀ measurements between August 23 and September 4. In the first episode, Evia and Peloponnese fires contributed substantially to the air pollution levels in Athens. In the second episode, transport of industrial pollution from Italy and Western Europe as well as forest fires in Albania contributed substantially to the air pollution levels in Athens. Local air pollution sources also contributed to the observed particle levels during these episodes. Satellite data provide valuable insights into the spatial distribution of particle concentrations, thus they can be used identify pollution sources. In spite of a few weaknesses in current satellite data products identified in this analysis, combining satellite aerosol remote sensing data with trajectory models and ground measurements is a powerful tool to study intensive particle pollution events such as forest fires.     

Interaction of Population Growth,Industrial Growth and Pollution Control

A model is developed which predicts the level of pollution as a function of time given the rate of waste production and the persistence of the pollutant. In general, waste production is a function of the population density and the degree of industrialization of a society. With pollution control programs it is possible to reduce the per capita waste production for a given degree of industrialization. The model demonstrates that in a growth economy such as that of the United States, pollution control programs by themselves only delay the inevitable increase in pollution levels. In the long run population and industrial growth are incompatible with pollution control.     

高邮市城区污染强度与北澄子河环境容量的相关性

根据2004年度高邮市主要纳污河流北澄子河流经城区后，污染物增加量、城区段河流的自净量及河流剩余环境容量，计算出城区段河流的总环境容量，再通过各年度河流流经城区后污染物增加量及自净量，计算出各年度城区段河流的剩余环境容量，分析城区污染强度与北澄子河环境容量的相关性，得到线性公式，从而可以根据城区污染强度推算环境容量的变化，或根据环境容量的变化推算城区污染强度。     

Root growth responses of Anagallis arvensis L., primulaceae to air pollution

The root growth response to air pollution in populations of Anagallis arvensis growing about 0.5, 2, 6, 12 and 20 km leeward from a power plant complex varied with the level of pollution, age of the stand and meteorological conditions. The roots were more affected by the pollutants at a young stage and the loss in net primary productivity was proportional to the pollution level. The populations up to 2 km from the source of pollution completed their life cycle quickly. The coal consumption rate at the power plant, relative humidity, wind direction and other environmental factors were found to influence the degree of growth response to air pollution.