Pollution Control Mechanisms Research Articles

“A Review Of The Study Of Estimation Of The Concentration Of Particulate Matter Over Chhatrapati Sambhajinager (M.S) City Using Remote Sensing”

India’s ongoing population explosion has imposed a great strain on the country’s environment. This rapid growth in population along with urbanization and industrialization has placed lot of pressure on India’s infrastructure and natural sources. Forests destruction, soil erosion, water pollution and lowering of the level’s quality continue to hinder economic development in under developed and rural region of India. The rapid urbanization and subsequently industrialization in India leads degrading environmental condition in metro cities in India. Chhatrapati Sambhajinager cannot be an exception Chhatrapati Sambhajinager is one of the most affected cities where air particulate matters (PM) have been registered at the levels more than 10 times our country’s legal limit (Ninawe et-al 2010). Despite of introducing legal policy measures in India air pollution remained major concern. In many urban areas including Chhatrapati Sambhajinager, there is high level of pollution. This cause increase in the levels of air pollution including deforestation that is causing human health hazards. In India aggravation of air pollution is owing to the rapid and growth in the size of cities. The movement of people from one place to other helped to Increase in consumption pattern, unplanned urban and industrial development is the main causes of air pollution in big cities of India that resulted the worst. (Chitale et-al 2010). In India, the most severe problem of environment comes in varied forms including vehicular emissions and unsaturated industrial smoke. This has resulted in bringing about adverse effect on population and cities are unable to implement pertinent pollution control mechanism. High concentration of pollution in India is not due to absence of a sound environment legal regime, but is due to lack of environmental enforcement at the local level. Regulatory reforms aimed to improving the air pollution problem in most of the metro cities. To my knowledge this might be the first attempt in Maharashtra, to produce high-resolution of particulate matter and gaseous NO2 and SO2 pollution surface, making use of remote sensing data (Kourase et-al 2010). The outcome of this research work will be made available to help expose health research in this polluted and densely populated region

The impact of evolving synoptic weather patterns on multi-scale transport and sources of persistent high-concentration ozone pollution event in the Yangtze River Delta, China

High-concentration ozone pollution pose threats to ecosystems and human health. However, there is limited research on the impact of the alternating evolution of synoptic weather patterns (SWPs) on the multi-scale transport processes and sources of ozone. From June 14 to 18, 2018, a rare consecutive ozone pollution plagued in Hefei and broader Yangtze River Delta region (YRD). This study investigates the meteorological factors and sources using in-situ observational data and WRF-Chem model simulations. Analysis reveals a northeastern low-pressure system moving from north to south generated a cold front. This moving cold front facilitated the vertical transport of warm air masses carrying high-concentration ozone originating from North China. Subsequently, Ozone-rich air masses (ORMs) were transported over the YRD, influenced by the eastward movement of the Mongolian high-pressure system. Based on WRF-Chem model with NOx tagging mechanisms and WRF-FLEXPART backward simulations, it is confirmed that a notable atmospheric transport originated from North China region (NCR) to Hefei, especially on June 15. As the Mongolian high-pressure weakens and shifts east-southward, it carried ORMs generated by NOx emissions from the YRD, accumulating over the sea within the range of 120°E to 126°E and 25°N to 30°N. Both WRF-chem model results and TRopospheric Ozone and Precursors from Earth System Sounding (TROPESS) Chemistry Reanalysis dataset Version 2 (TCR-2) revealed the existence of ORMs in this geographic range. Subsequently, the ORMs carried out to sea by the weakened high-pressure system were reintroduced inland, influenced by southeast winds brought about by the peripheral circulation of typhoon “Gaemi”. In summary, the alternating evolution of SWPs significantly influences multi-scale ozone transport from both the NCR and the YRD regions, making substantial contributions to this prolonged episode. These findings offer valuable insights for improving regional ozone pollution prevention and control mechanisms.

Impacts of synoptic weather patterns on Hefei's ozone in warm season and analysis of transport pathways during extreme pollution events

Extreme ozone pollution events (EOPEs) are associated with synoptic weather patterns (SWPs) and pose severe health and ecological risks. However, a systematic investigation of the meteorological causes, transport pathways, and source contributions to historical EOPEs is still lacking. In this paper, the K-means clustering method is applied to identify six dominant SWPs during the warm season in the Yangtze River Delta (YRD) region from 2016 to 2022. It provides an integrated analysis of the meteorological factors affecting ozone pollution in Hefei under different SWPs. Using the WRF-FLEXPART model, the transport pathways (TPPs) and geographical sources of the near-surface air masses in Hefei during EOPEs are investigated. The results reveal that Hefei experienced the highest ozone concentration (134.77 ± 42.82 µg/m³), exceedance frequency (46 days (23.23 %)), and proportion of EOPEs (21 instances, 47.7 %) under the control of peripheral subsidence of typhoon (Type 5). Regional southeast winds correlated with the ozone pollution in Hefei. During EOPEs, a high boundary layer height, solar radiation, and temperature; low humidity and cloud cover; and pronounced subsidence airflow occurred over Hefei and the broader YRD region. The East-South (E_S) patterns exhibited the highest frequency (28 instances, 65.11 %). Regarding the TPPs and geographical sources of the near-surface air masses during historical EOPEs. The YRD was the main source for land-originating air masses under E_S patterns (50.28 %), with Hefei, southern Anhui, southern Jiangsu, and northern Zhejiang being key contributors. These findings can help improve ozone pollution early warning and control mechanisms at urban and regional scales.

Unveiling Trends and Hotspots in Air Pollution Control: A Bibliometric Analysis

With the continuous acceleration of urbanization, air pollution has become an increasingly serious threat to public health. Strengthening the detection and control of pollutants has become a focal point in current society. In light of the increasing amount of literature in the field of air pollution control with every passing year, numerous reviews have been compiled; however, only a limited number employ bibliometric methods to comprehensively review and summarize research trends in this field. Herein, this study utilizes two bibliometric analysis tools, namely, CiteSpace (6.1.R6) and VOSviewer (1.6.20), to conduct a visual and comprehensive analysis of air pollution literature spanning 2000 to 2023. By doing so, it establishes a knowledge framework for research on air pollution control. Simultaneously, collaborative network analysis, reference co-citation network analysis, keyword co-occurrence network analysis, and keyword prominence are employed to undertake an exhaustive and profound visual examination within this domain. Results indicate that, over time, the number of relevant papers has exponentially increased, while interdisciplinary cooperation trends have gradually formed. Additionally, this study describes key areas of current research, including air pollution control residue treatment, regional joint air pollution control, and air pollution control mechanism analysis. Finally, challenges faced by researchers in this field and their different perspectives are discussed. To better integrate research findings on air pollution control, we explore the correlations among data and systematically present their developmental trends. This confirms the interdisciplinary nature of air pollution control research, in the hope of its guiding air pollution control in the future.

Causes Investigation of PM2.5 and O3 Complex Pollution in a Typical Coastal City in the Bohai Bay Region of China in Autumn: Based on One-Month Continuous Intensive Observation and Model Simulation

In order to investigate the causes of complex air pollution in coastal cities in the Bohai Rim of China, a one-month intensive field observation combined with model simulation was carried out in a typical city named Dongying in September 2022. The results showed that two PM2.5 and O3 complex pollution episodes occurred in Dongying in the observation period, with the primary pollutant being O3. Atmospheric photochemical reactions occurring under unfavorable meteorological conditions led to the production of O3 while at the same time facilitating the generation of nitrate, sulfate, and other secondary components of PM2.5 by enhancing the atmospheric oxidizing capacity, which promoted the formation of complex air pollution. It was worth noting that in the context of high pollutants emission, the occurrence of complex air pollution was more sensitive to the variation in meteorological conditions than to the change in pollutants emission. To continuously improve air quality and protect human health in Dongying, it is recommended that an effective regional joint air pollution prevention and control mechanism with neighboring cities should be established in the premise of effective local pollutants reduction, and special attention should be paid to the adverse effect of the air mass transportation from Bohai Bay.

Roof runoff pollution control with operating time based on a field-scale assembled bioretention facility: Performance and microbial community dynamics

Bioretention facilities are essential, low-impact development measures to treat roof runoff pollution. To explore the effects of roof runoff pollution control and internal influencing mechanisms of field-scale bioretention facilities, a newly assembled bioretention facility (ABF) comprising volcanic rock and coconut coir was constructed. The results of the 21-month experiment showed that the peak concentrations of total suspended solids (TSS), ammonia nitrogen (NH4+–N), and chemical oxygen demand (COD) of roof runoff were 332.50 mg∙L−1, 3.46 mg∙L−1, and 122.33 mg∙L−1, respectively, indicating that the roof runoff was seriously polluted and needed urgent treatment. The removal rates of TSS, NH4+–N, and COD within the facility were 86.50 ± 7.31 %, 79.40 ± 19.28 %, and 51.84 ± 26.24 %, respectively. However, continuous and high-intensity rainfall decreased pollutant removal performance by weakening the adsorption effect of the media. Continuous pollutant input decreased the abundance of Arthrobacter and Hyphomicrobium within the media, and functional bacteria, such as KD4–96, Roseiflexaceae, Vicinamibacteraceae, and Gaiellales, played dominant roles in NH4+–N and COD removal to ensure the long-term stability of the facility. This study provides theoretical guidance and a practical basis for enhancing the application of ABF in mitigating roof runoff pollution.

Online coal dust suppression system for opencast coal mines

Coal is the major source of power in India and world over. Coal mining is an essential industry which has a major role in the economic development of the country. Most major mining activities contribute directly or indirectly to air pollution. Coal dust is a major air pollutant which affects the personal working in the mines and also people residing in villages near the mines. Air pollution due to coal particulates can affect human health and cause damages to the environment. Hence effective pollution control mechanisms are needed to keep the pollution levels within permissible levels. The easiest and most common method employed for dust suppression worldwide is sprinkling of water. In majority of mines, water sprinklers are operated manually and can lead to wastage of water due to over sprinkling. It can also prove to be ineffective in dust suppression if sprinkling is not done properly. The paper proposes a system which can be deployed to automate the dust suppressions sprinklers. The system will monitor the concentration of PM10 and PM2.5 in the air and initiate sprinkling operation when the particulate matter content exceeds preconfigured limits.

Trade Openness and Environmental Pollution Management: Push or Pull?

Foreign trade, as one of the troika of China's economic development, plays a vital role, bringing great benefits to the country through trade, but also accompanied by a series of environmental problems such as the export industry's carbon emissions increasing year by year and a series of environmental problems. Therefore, to explore the impact of trade openness on the environmental pollution control mechanism has practical and theoretical significance. Based on relevant theories and literature, this paper first combed through the mechanism of trade opening on environmental pollution and found the entry point. Then, based on the panel data of 30 provinces in China from 2007 to 2017, this paper explored the mechanism of trade opening on environmental pollution in the whole country and the eastern, central and western regions of China, and introduced technological innovation intermediary variables to build an intermediary model. The empirical results show that the relationship between the level of trade openness and industrial wastewater emissions is inverted "N", "U" with industrial sulphur dioxide emissions and negative linear with industrial soot emissions; trade openness will exert a mediating effect on environmental pollution control through technological innovation as a mediating variable.

Core Research on the Way of Finance and Taxation Law to Solve the Air pollution Crisis from the Perspective of Domain Law

In the new century, industrial development has achieved gratifying success, but it is also accompanied by serious air pollution problems. In this regard, our country attaches great importance to optimizing the air pollution control work, formulates the air pollution control mechanism, alleviates the air pollution crisis by means of fiscal and tax laws, and constantly promotes the control technology, aiming at reducing pollution, purifying the air and doing a good job in ecological and environmental protection. From the perspective of domain law, environmental biotechnology is widely used in air pollution control. This thesis will briefly analyze the financial and tax methods to solve the air pollution crisis from the perspective of domain law, hoping to provide reference for air pollution control.

Environmental justice and green innovation: A quasi-natural experiment based on the establishment of environmental courts in China

Environmental justice is a more sustainable constraint on polluting behavior than administrative instruments. Previous literature has explored the impact of various administrative instruments applied to environmental regulation on green innovation but has neglected the possible role of environmental justice. This paper examines the effect of environmental justice on green innovation using the multi-period difference-in-difference (DID) approach by taking the establishment of the Chinese environmental court as a policy shock, thus filling the gap in previous studies. We conclude that: first, the establishment of environmental courts significantly contributes to the level of green innovation. This finding holds after a series of robustness tests. Second, environmental justice pushes polluters to engage in green innovation through the mechanism of pollution control. Third, the effect of environmental courts on green innovation is not significant in resource-based cities, which depend more on high-polluting industries for development. Fourth, a better legal environment can help improve the effectiveness of environmental justice in promoting green innovation. This paper not only supplements the existing literature on the factors influencing green innovation and explains the operational mechanisms and effects of environmental justice, but also provides theoretical support for promoting green innovation in practice.

The Evolutionary Game Analysis of Public Opinion on Pollution Control in the Citizen Journalism Environment

In the context of the rapid development of new media such as network citizen journalism, it is of great theoretical and practical significance to use the online public opinion to supervise sewage discharge enterprises’ emission governance behaviors and improve the social opinion supervision mechanism. This paper considers the dynamic characteristics of the spread process of public opinion and the game process of social supervision on corporate pollution control; constructs a tripartite evolutionary game model of the local government, sewage discharge enterprises, and the public by coupling the susceptible–exposed–infected–removed (SEIR) model and the evolutionary game model; and discusses the influence laws of public opinion spread on the tripartite evolutionary game. The results show that (1) the public with higher influence or authority has a more significant restraint effect to restrain the pollution control behavior of the local government and pollutant companies by using online public opinion supervision. (2) Increasing the probability of transforming a latent person into a supervisor and the topic derivative rate or reducing the probability of a supervisor’s self-healing can increase the peak value of supervisors, expand the scope of social public opinion, and improve the effectiveness of public opinion supervision. (3) The relatively high authenticity of public opinion supervision makes public opinion supervision a substitute for local government supervision, but it has a relatively strong inhibitory effect on the over-standard pollutant discharge behavior of sewage discharge enterprises. These conclusions can provide a reference for improving the social supervision mechanism of pollution control in the era of network citizen journalism.

The Impact of Low-Carbon City Pilot Policies on Air Quality: Quasi-Natural Experimental Evidence from China

Low-carbon cities have become a new trend in regional development around the world. Whether they can improve the environment in China, especially the air quality, remains to be tested. In this paper we take low-carbon city construction as a quasi-natural experiment and empirically test the net effects, influencing factors, and dynamic effects of low-carbon city construction on air quality by constructing a multistage propensity score matching and Difference-in-Differences model. After a series of robustness tests, the following conclusions are drawn: first, low-carbon city construction reduces the regional Air Quality Index, inhalable particulate matter, fine particulate matter, and NO2 concentrations. Among them, the construction effect in 2017 was the most significant. Therefore, it is necessary to continue to promote low-carbon city policies and accurately identify different types of air pollutants to improve the overall effectiveness of low-carbon city policies. Second, temperature, humidity, wind level, and other meteorological factors, as well as gross domestic product for the proportion of secondary industry, will affect air quality. Therefore, it is necessary to comprehensively consider meteorological, economic, social, and other influencing factors in an early stage of the construction of the next batch of low-carbon cities, so as to avoid falling into the trap of “building first and managing later”. Third, the impact of secondary industry on air quality is significantly greater than that of tertiary industry. Therefore, the upgrading of industrial structure promoted by low-carbon city policy is effective in improving air quality. Fourth, the construction of low-carbon cities in western China has the most significant impact on air quality improvement. Therefore, the joint prevention and control mechanism of air pollution control in urban agglomeration should be established.

A Pollution Prevention Pathway Evaluation Methodology Based on Systematic Collaborative Control

To improve the efficiency of air pollution control, in this research, a systematic air pollution collaborative governance pathway system was developed from a systemic perspective. The sequencing of air pollution control pathways in the system can significantly affect its efficiency, so the order of the sequence was optimized. To develop the system, first, two case studies on coordinated air pollution control in the U.S. and China were conducted to demonstrate the importance of systematic collaborative governance. Next, based on the analysis of these two cases and a review of the related literature, a systematic coordinated air pollution control mechanism was proposed. The priorities of collaborative governance pathways were evaluated using the Analytic Hierarchy Process (AHP) methodology. The input to the AHP was data from in-depth interviews with established scholars and practitioners in air pollution prevention and control. Several policy suggestions are put forward based on the expert ranking of the results of the priorities of the collaborative governance pathways. These policy suggestions include identifying the most critical pathways in the cooperative control of air pollution and their order of implementation as well as measures that can effectively reduce pollution. The theoretical contributions of this research include the establishment of a cooperative governance mechanism and the analysis of governance pathways to help develop an efficient air pollution pathway system. The practical contributions of this research include policy suggestions to improve the efficiency of collaborative air pollution treatment and lower its costs.

Impact Mechanism of New Urbanization on Environmental Pollution: Empirical Analysis Based on Spatial Panel Model.

Traditional urbanization has stimulated economic growth. Meanwhile, it has damaged the natural environment. China has initiated new urbanization to resolve this dilemma. This paper aims to clarify the relationship between new urbanization and environmental pollution and prove new urbanization's superiority in containing environmental pollution. Thus, this paper adopts the static and dynamic spatial Durbin and mediating effect models to estimate the environmental pollution control mechanism of the new urbanization, using the panel data collected from 285 prefecture-level cities in China from 2003 to 2018. Findings show that: (1) Environmental pollution has time inertia and spatial spillover effect. The degree of pollution in an area is related to the environmental quality in the earlier stage and the surrounding areas. (2) The role of new urbanization in containing environmental pollution can take effect in the long run. In the short term, population urbanization can restrain the environmental pollution of both local and surrounding cities. (3) Heterogeneity analysis shows that the higher the level of environmental pollution, the greater the impact of new urbanization on environmental pollution. (4) Mediating effect test shows that technological effect and industrial structure upgrading are two important channels for new urbanization to reduce environmental pollution. (5) Threshold effect test shows that the inhibition effect of new urbanization on environmental pollution is gradually enhanced after crossing the threshold.

Cost-Sharing Mechanism of Water Pollution Control in Main and Subbasins Based on Stackelberg Game Model

Faced with goal to improve ecological environment, water pollution treatment in river basins has been one of research focuses in recent years. Based on the basic characteristics of the river basins including main stream and multiple or multilevel tributaries, considering competitive relationship and cost-sharing mechanism of water pollution control, a differential game model of pollution elimination including main stream government and two tributary governments was constructed, and the equilibrium strategies under two situations of noncooperation mechanism and cost-sharing mechanism were discussed. The results show that Stackelberg game model based on cost-sharing mechanism can improve the pollution elimination effect and achieve Pareto improvement of the environment and economy. Then, through numerical analysis, influence of factors such as competition coefficient on pollutant elimination effect, tripartite effort, and optimal cost-sharing ratio were discussed. The results show that, in order to effectively reduce pollutant and improve environmental benefits, the greater pressure on tributary governments to develop the economy and the smaller degree of pollution treatment efforts, the more cost-sharing mechanism needed, and the higher main stream government’s cost-sharing proportion to the tributary government. When the pollution eliminating-quantity on unit effort of one tributary government increases, the revenue of main stream and tributary governments will increase; simultaneously, when the effort degree of the tributary government increases, the other decreases. The optimal cost-sharing proportions of main stream government to two tributaries are different which is influenced by many factors, and the influence rule presents stable monotonic increase or decrease. The research conclusions can provide reference for the governments to negotiate and determine cost-sharing mechanism.

Analyzing the Water Pollution Control Cost-Sharing Mechanism in the Yellow River and Its Two Tributaries in the Context of Regional Differences

A river basin is a complex system of tributaries and a mainstream. It is vital to cooperatively manage the mainstream and the tributaries to alleviate water pollution and the ecological environment in the basin. On the other hand, existing research focuses primarily on upstream and downstream water pollution control mechanisms, ignoring coordinated control of the mainstream and tributaries, and does not consider the impacts of different environmental and economic conditions in each region on pollution control strategies. This study designed a differential game model for water pollution control in the Yellow River and two of its tributaries, taking regional differences into account and discussing the best pollution control strategies for each region under two scenarios: Nash noncooperative and cost-sharing mechanisms. Furthermore, the factors influencing regional differences in pollution control costs are analyzed, and their impacts on the cost-sharing mechanism of pollution control are discussed. The results show that: (1) The cost-sharing mechanism based on cooperative management can improve pollutant removal efficiency in the watershed and achieve Pareto improvement in environment and economy. (2) The greater the economic development pressure between the two tributaries, the fewer the effects of the cost-sharing mechanisms and the higher the proportion of pollution control costs paid by the mainstream government. (3) Industry water consumption, the proportion of the urban population to the total population at the end of the year, the value-added of secondary sectors as a percentage of regional GDP, the volume of industrial wastewater discharge, and granted patent applications all influence industrial wastewater pollution treatment investment. (4) The greater the coefficient of variation in pollution control costs between the two tributary areas, the less favorable the solution to water pollution management synergy. These findings can help governments in the basin regions negotiate cost-sharing arrangements.

Effects and influence factors of regional based air pollution control mechanism: an econometric analysis

Effects and influence factors of regional based air pollution control mechanism: an econometric analysis

Reduction of Pollution through Sustainable and Flexible Production by Controlling By-Products

Every manufacturing system produces toxic by-products that cause a hazardous impact on society and the environment. As a result, pollution control authorities’ role has gained importance for the betterment of society and the preservation of a clean and green environment. As a result, one of the goals of this research is to develop a sustainable smart manufacturing model with less waste and controlled pollution. Here, a flexible production process is discussed under imprecise market conditions with partial backlogging and rework. Two different sustainable production models are presented here by considering pollution control costs. A sustainable production model with variable pollution costs is examined under the influence of three pollution control mechanisms to improve the model’s applicability. A solution methodology, including three critical theorems, is provided to obtain the optimal production rate, length, and total cost per cycle. The paper’s novelty lies in introducing pollution control costs and pollution control mechanisms together in a flexible, sustainable production system with uncertainty. In comparison to the other models, the model with a variable pollution cost appears to be more sustainable as, in this case, there is a 25.5% reduction in the pollution level compared to the other models. Implementing three pollution-controlling strategies, such as pollution cap, pollution cap and trade, and pollution tax, resulted in reductions of 34.37, 0.83, and 0.62% in pollution levels, respectively. A sensitivity analysis of the obtained results is carried out to show the model’s strength and robustness.

Research on the Water Pollution Control Mechanism of Xiangjiang River Basin Based on Machine Learning

Due to the complexity of water pollution treatment and the impact of external factors, precise regulation of water pollution has always been one of the problems in the environmental field. Traditional methods cannot meet the increasingly complex engineering project requirements. Machine learning methods developed in recent years provide a series of effective solutions for such problems. Taking the Xiangjiang River basin as an example, this paper introduces the characteristics of machine learning methods such as artificial neural network, support vector machine and random forest, and expounds the application of machine learning methods in the field of water pollution control in the Xiangjiang River basin from three aspects of water quality prediction and early warning, fault diagnosis of sewage treatment system and intelligent control, and analyzes the advantages of machine learning methods compared with traditional methods and the problems existing in the application of machine learning methods in water pollution control in the Xiangjiang River basin, the prospect and trend of the application of machine learning methods in the field of water pollution control in the Xiangjiang River basin are forecasted.

Does economic agglomeration affect haze pollution? Evidence from China's Yellow River basin

Economic agglomeration is an important driving force for China's economic growth and the transformation of its industrial structure. However, whether economic agglomeration is accompanied by haze pollution is a major concern for environmental managers and policymakers. As one of the most significant ecological barriers and major economic zones, China's Yellow River basin faces severe air pollution. Hence, taking energy consumption as an input factor and haze pollution as an undesirable output in an output density model, this study investigates, both theoretically and empirically, the transmission mechanisms among economic agglomeration, labor productivity, and haze pollution. We construct a spatial Durbin model to verify the explanatory power of our theoretical model based on panel data for 74 cities in China's Yellow River basin during 2005–2016. Economic agglomeration's effect on haze pollution is further tested using a mediating effect model and the instrumental variable method. The results show that there is an N-shaped relationship between economic agglomeration and haze pollution and a U-shaped relationship between labor productivity and haze pollution. Labor productivity is an important mediator in economic agglomeration's effect on haze pollution. Haze pollution not only has path dependence in the time dimension but also has a significant spillover effect in the spatial dimension. Therefore, we propose actively cultivating urban agglomeration in the Yellow River basin, enhancing the degree of economic agglomeration, and improving regional haze pollution prevention and control mechanisms.