Mobile Sources Of Pollution Research Articles

Modeling of Passenger Flows Analysis System of Low-carbon Transportation in a Smart City

The paper examines the impact of the increase in passenger traffic in public transport on environmental pollution, as well as the search for ways to reduce emissions of carbon-containing compounds caused by the growth of the planet’s population, the number of vehicles that transport them, and the amount of emissions that these vehicles generate. The object of research is the system of passenger transportation in a smart city. Through correlation-regression analysis of passenger flows in a regional city with a population of fewer than 1 million registered residents, the paper identifies a functional dependence between the volume of passenger transportation by public transport and the volume of carbon dioxide emissions into the atmospheric air from mobile sources of pollution, which include all types of automobile and electric transport. It was established that the optimization of the public transport network plays a decisive role in the implementation of low-carbon transportation. Conceptual provisions for the creation of an intelligent system for the organization of low-carbon passenger transportation in a smart city were proposed, which were displayed using activity, state, and deployment diagrams. The optimization of the routes of the public transport system is proposed to be implemented through the concept of adding a new passenger, supplementing the route, and adapting public transport networks to the needs of consumers and the demand for transport to achieve the goals of the concept of a smart city - reducing carbon dioxide emissions into the atmosphere. The scientific novelty of the proposed intelligent system concept consists of the use of an integrated approach to the optimization of vehicle routes in a smart city to reduce carbon dioxide emissions into the atmosphere.

GIS-Based Analysis of Volatile Organic Compounds in Bucheon, Korea, Using Mobile Laboratory and Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry Methods.

Recently, volatile organic compounds (VOCs) have been shown to act as precursors of secondary organic particles that react with ultraviolet rays in the atmosphere and contribute to photochemical smog, global warming, odor, and human health risks, highlighting the importance of VOC management. In this study, we measured VOC concentrations in various contexts including industrial and residential areas of Bucheon, Korea, through mobile laboratory and proton-transfer-reaction time-of-flight mass spectrometry methods to determine winter VOC concentrations and visualized the data based on spatial information. Regional characteristics, temperature/humidity, atmospheric conditions, wind speed, traffic volume, etc., during the measurement period of the study site were comprehensively reviewed. For this purpose, global information system (GIS)-based air quality data and various environmental variables were comprehensively reviewed to assess spatial and temporal concentrations in three dimensions rather than in tables and graphs. Among VOCs, the levels of toluene, methanol, and n + i-butene were relatively high, with average concentrations of 48.3 ± 67.2, 34.4 ± 102.7, and 32.6 ± 57.7 ppb, respectively, at the end of the working day. The highest concentrations occurred near the Ojeong Industrial Complex. Mobile pollution sources are also a major driver of VOCs, highlighting the necessity of comprehensively reviewing traffic variables such as road level, estimated traffic volume, and average speed when identifying hotspots of air pollution. GIS-based visualization analysis techniques will improve the efficiency of air quality management.

Pollutants emissions dynamics by stationary and mobile sources of pollution within Ukraine

Due to the current rapid socio-economic development of both the world as a whole and Ukraine in particular, the level of anthropogenic load on the environment is increasing. In this context, the analysis of emissions of pollutants from various sources of pollution is quite relevant, as it allows to identify the dynamics of pollution and develop the necessary measures to improve the quality of the air basin. Purpose. Analysis of the dynamics of emissions of pollutants by stationary and mobile sources of pollution within Ukraine. Methods. Statistical, graphic, comparison. Results. The dynamics of emissions of pollutants for the period 2016-2020 were analyzed. It was found that the number of emissions of hazardous substances into the atmospheric air has significantly decreased, stationary sources of pollution account for a much larger number of emissions than mobile sources. However, the highly urbanized and industrialized regions of Ukraine are still suffering from the toxic effects of substances. It was found that according to the types of economic activity, the largest amount of emissions into the atmospheric air falls on the electric power industry, extractive and processing industry; significantly less - for agriculture, water supply and transport. Conclusions. Most regions of Ukraine with a high level of industrial development continue to suffer from atmospheric air pollution. Taking into account modern global challenges in the field of nature management, the priority directions for reducing the negative impact on the air basin of Ukraine are: popularization of alternative energy sources; modernization of transport; promoting the development of green spaces and zones, etc

Automatic Detection Method for Black Smoke Vehicles Considering Motion Shadows.

Various statistical data indicate that mobile source pollutants have become a significant contributor to atmospheric environmental pollution, with vehicle tailpipe emissions being the primary contributor to these mobile source pollutants. The motion shadow generated by motor vehicles bears a visual resemblance to emitted black smoke, making this study primarily focused on the interference of motion shadows in the detection of black smoke vehicles. Initially, the YOLOv5s model is used to locate moving objects, including motor vehicles, motion shadows, and black smoke emissions. The extracted images of these moving objects are then processed using simple linear iterative clustering to obtain superpixel images of the three categories for model training. Finally, these superpixel images are fed into a lightweight MobileNetv3 network to build a black smoke vehicle detection model for recognition and classification. This study breaks away from the traditional approach of "detection first, then removal" to overcome shadow interference and instead employs a "segmentation-classification" approach, ingeniously addressing the coexistence of motion shadows and black smoke emissions. Experimental results show that the Y-MobileNetv3 model, which takes motion shadows into account, achieves an accuracy rate of 95.17%, a 4.73% improvement compared with the N-MobileNetv3 model (which does not consider motion shadows). Moreover, the average single-image inference time is only 7.3 ms. The superpixel segmentation algorithm effectively clusters similar pixels, facilitating the detection of trace amounts of black smoke emissions from motor vehicles. The Y-MobileNetv3 model not only improves the accuracy of black smoke vehicle recognition but also meets the real-time detection requirements.

Improvement of a Rapid Method of Detecting Gasoline Detergency Based on the Image Recognition.

The detergency of motor gasoline is closely related to vehicle exhaust emissions and fuel economy. This paper proposed an improved method for the rapid detection of gasoline detergency based on the deposit images of test gasoline on aluminum plates produced by a multichannel gasoline detergency simulation test (MGST). The detection algorithm system was structured to recognize the deposit plate images by computer vision based on the convolutional neural networks (CNNs). Compared with the traditional simulation test, the improved MGST method resulted in significant reductions in fuel consumption, cost, and test time. The performance of three transfer learning models (Inception-ResNet-V2, Inception-V3, and ResNet50-V2) and a customized CNN was evaluated in the detection algorithm system, and their detection accuracies reached 94, 94, 88, and 82%. Inception-RsNet-V2 was selected due to its higher accuracy and better robustness. Based on the model interpretation, it is evident that the model undergoes feature extraction from the sediment deposits on the deposit plate. Subsequently, it employed the acquired deposit features to accurately detect gasoline samples that failed to meet detergency standards. This approach was proved to be effective in enhancing the detection process and ensuring reliable results for gasoline detergency evaluation. It is beneficial to environmental protection regulators for managing market gasoline detergency and urban mobile source pollution. In addition, a deposit plate image database should be established to further improve the detection model performance during the environmental regulation.

Green light optimized speed advisory achieves fuel savings and CO2 emission reduction by profoundly impacting driving behavior

Green Light Optimized Speed Advisory (GLOSA) is an emerging smart transportation technology that guides drivers through signalized intersections during green light phases, showing promise in mobile source pollution control. However, there is still a lack of comprehensive understanding regarding its impact on driving behavior, fuel consumption, and CO2 emissions. In this study, we used heavy-duty diesel truck (HDDT) as an example and conducted a comprehensive path study from the changes in driving behavior to fuel consumption and CO2 emission reduction after the application of GLOSA, using a portable emission measurement system for real-world driving tests at two research scales: signal-controlled road section and signalized intersections. The study was innovatively conducted in three scenarios: Without GLOSA, With GLOSA, and GW GLOSA, which considers the simultaneous application of Green Wave (GW) traffic control system. Results show that applying GLOSA, the passing rate of vehicles at signalized intersections significantly improves, the driving cycle curve tends to be smoother, the cruise time ratio increases to 67.60%, and the travel time is reduced by 5%–13%. HDDT's average speed on the road segments (Seg) decreases by 25.15%, and the aggressive acceleration and deceleration behavior near signalized intersections are significantly reduced. The trip fuel consumption and CO2 emissions of HDDT decrease by 16.63%–23.51% and 16.06%–24.12%, respectively. These fuel savings and CO2 emission reductions mainly occur in the Seg and Signalized intersection-after sections. After the simultaneous application of GLOSA and GW, the trip average speed increases by 60.90%, and traffic efficiency is greatly improved. Although the fuel consumption and CO2 emissions are slightly higher compared to GLOSA alone due to the higher driving speed, GW GLOSA still offers relatively considerable fuel and environmental benefits. This study deepens people's understanding of GLOSA and GW and provides support for the formulation of transportation efficiency improvement and environmental protection strategies.

Evaluation of Nitrogen Oxide Reduction Performance in Permeable Concrete Surfaces Treated with a TiO2 Photocatalyst.

Fine dust, recently classified as a carcinogen, has raised concerns about the health effects of air pollution. Vehicle emissions, particularly nitrogen oxide (NOx), contribute to ultrafine dust formation as a fine dust precursor. A photocatalyst, such as titanium dioxide (TiO2), is a material that causes a catalytic reaction when exposed to light, has exceptional characteristics such as decomposition of pollutants, and can be used permanently. This study aimed to investigate NOx reduction performance by developing ecofriendly permeable concrete with photocatalytic treatment to reduce fine dust generated from road mobile pollution sources. Permeable concrete specimens containing an activated loess and zeolite admixture were prepared and subjected to mechanical and durability tests. All specimens, including the control (CTRL) and admixture, met quality standard SPS-F-KSPIC-001-2006 for road pavement. Slip resistance and permeability coefficient also satisfied the standards, while freeze-thaw evaluation criteria were met only by CTRL and A1Z1 specimens. NOx reduction performance of the permeable concrete treated with TiO2 photocatalyst was assessed using ISO standard and tank chambers. NOx reduction efficiency of up to 77.5% was confirmed in the permeable concrete specimen with TiO2 content of 7.5%. Nitrate concentration measurements indirectly confirmed photolysis of nitrogen oxide. Incorporating TiO2 in construction materials such as roads and sidewalks can improve the atmospheric environment for pedestrians near roads by reducing NOx levels through photocatalysis.

Assessment of the state of the ecosystem of the Lipetsk region

The characteristics of the state of the ecosystem of the Lipetsk Region are presented on the basis of official statistical reporting by the Office of Rospotrebnadzor for the Lipetsk Region, the Lipetsk Center for Hydrometeorology and Environmental Monitoring - a branch of the Central Chernozem UGMS, the Department of Ecology and Natural Resources of the Lipetsk Region. Environmental problems of the Lipetsk region are associated with pollution of atmospheric air,drinking water, soil, and food products by toxic substances. Sources of environmental pollution are ferrous metallurgy, chemical industry, motor vehicles, agricultural production, including livestock. Anthropogenic anomalies of the habitat are becoming one of the main causes of veterinary problems in modern animal husbandry. The purpose of the study: to assess the state of the ecosystem of the territory of the Lipetsk region, including monitoring of surface watercourses in the area of the city of Lipetsk: the rivers Matyra, Voronezh, Lipovka and the Matyr reservoir. For the analysis of water sources for heavy metal contamination with an atomic absorption spectrometer with electrothermal authorization "MGA-1000". Sampling of natural water was carried out according to GOST 17.1.5.05-85. The volume of the sample taken was 250 ml, the filtrate was preserved with nitric acid. Statistical processing of analytical data was carried out by conventional methods.Up to 90% of emissions of harmful substances from stationary and mobile sources of pollution are accumulated by soil, from where toxins migrate into water and plants. The content of zinc slightly exceeded the maximum permissible level in 35% of the selected samples, %, manganese - in 32% and aluminum - in 34% of the selected samples. So the highest content of iron and lead was recorded in the river. Voronezh and in the region of Lipetsk, exceeding the MPC by 1.5 times. To a lesser extent, increases in MPC r. Matyr and Matyr-sky reservoir.

Study of Mobile Source Pollutants Based on Multi-Source Data Fusion: A Case Study of Zibo City, China

The primary pollutants emitted from mobile sources have become one of the main sources of urban air pollution. In this study, the primary pollutants CO, HC, NOx and PM from mobile sources in Zibo city, China are studied. Firstly, the localized mobile-source pollutant emission factors are corrected using vehicle emission experiments; secondly, multi-source data fusion is performed using road network data, road traffic data, air quality and meteorological data; then, the corrected pollutant emission factors and multi-source data are used to construct a localized emission measurement model and dispersion simulation model, visualize the emission distribution and propose residual concentration correction to accurately obtain the pollutant sharing rate. The results show that the pollutant emission trends are highly coupled with the distribution of urban residents’ working hours. Based on the localized dispersion model used to analyze the pollutant traceability at air monitoring stations, the emission sharing rate of NOx is the largest, and according to the analysis of the changing trend of mobile-source emission sharing rate, the mobile source pollutants in Zibo are mainly influenced by pollutant emissions from road motor vehicles. This study provides data support and a theoretical basis for the management of the transportation industry to carry out exhaust gas control of motor vehicles and non-road mobile machinery and to make decisions related to improving the air environment (delineating the scope of low emission zones).

РОЗРАХУНКОВИЙ МЕТОД ОЦІНКИ ВПЛИВУ ТРАНСПОРТНИХ ЗАСОБІВ НА ПОВІТРЯНЕ СЕРЕДОВИЩЕ

Introduction. The negative impact of vehicles is primarily occurs not only in big cities and on roads in megacities, but also on public roads with heavy traffic. The specifics of mobile sources of pollution (cars) occurs in their low location, spatial distribution and close proximity to populated areas. All this leads to the fact that motor vehicles create big and persistent zones in which environmental standards of air pollution are exceeded several times. Problem statement. Actually, in Ukraine there are evaluation methods for determining the assessment of the impact on the air environment in the area affected by roads. Gross emissions of pollutants and warming gases from vehicles are determined exclusively by statistical data on fuel consumption by internal combustion engines of motor vehicles of legal entities and individuals. Purpose. Clarify the estimates of gross emissions of pollutants and warming gases in exhaust gases from the vehicles while driving on roads, including the implementation of EURO V European standards, with determination of the objective level of negative impact on the air environment. Materials and methods. Analytical, information-searching. Results. The paper presents the procedure for the evaluation of pollutants and warming gas emissions during the operation of vehicles driving on public roads. Conclusions. The performed analysis will allow us to evaluate the impact on the air environment in the area affected by roads highways by evaluation method, the procedure for assessment the emissions of pollutants and warming gases from vehicles driving on public roads has been determined.

Воздействие мобильных и стационарных источников загрязнений на геоэкологическое состояние урбанизированных территорий в горном регионе

Introduction. The air quality problems facing the world today become aggravated by rapid urban population growth, uncontrolled urban and industrial expansion and a phenomenal growth in the number and time of car use. In general, geoecological pollution of the territory is caused by stationary and mobile sources. The industry in the most of the regions today is experiencing degradation to one degree or another. At the same time, operating plants and factories, especially those associated with the processing of toxic heavy metals, are mostly equipped with filter systems that significantly reduce the territory pollution. On the other hand, in recent years, road transport has taken the first place in terms of urban areas pollution. Road traffic is the largest source of many air pollutants that are harmful to health, but emissions from internal combustion engines are not the only source of pollution. Car tyres and parts of brake systems are also a significant source of environmental pollution. Thus, the assessment of the level of environmental pollution by road transport seems to be a very urgent task. Research methods. Experimental research methods were used in the work. The authors introduced a new integral index of atmospheric air pollution Zatm. The assessment of the level of atmospheric air pollution was carried out using the Ecolab gas analyzer based on a specially developed measurement technique. The data of the existing foreign works on the assessment of environmental pollution by tyre wear products were also considered as the source material. The obtained data were extrapolated to the territory of Vladikavkaz city. Map compilation was carried out using geoinformation modeling methods. Research results. As part of the study of tyre wear for the territory of Vladikavkaz city, it was found that about 258 tons of tyre wear products are emitted into the city’s environment per year, which is 860 grams per head of population. On the basis of the obtained data on the actual content of carbon monoxide, hydrocarbons С1-С10 and nitrogen and sulfur dioxides in the atmospheric air, a distribution map of the integral index of atmospheric air pollution Zatm in Vladikavkaz city was constructed. The map identified the sections of roads that are subjected to the greatest pollution Discussion. Traffic optimization models, in particular, “green corridors”, are currently being proposed as mitigation measures for pollutant emissions from road transport. Based on the analysis of the obtained data, which form the basis of the constructed maps of atmospheric air pollution in Vladikavkaz city, Recommendations for reducing the ecological load of road transport on the environment have been developed. Conclusion. Today, when most stationary sources (plants, factories, mining and processing centers, etc.) have practically stopped their activity or equipped with special treatment systems (filters, modern technologies), it is mobile pollution sources that emit the largest amount of pollutants. Road transport forms a high level of load on the geo-ecological state of the territory environment. The analysis of the obtained results made it possible to develop Recommendations for reducing pollutant emissions from road transport, which, due to the evergrowing number of vehicles and, as a result, increasing environmental pollution, is an actual result of the work. Resume. On the basis of the obtained data on the actual content of carbon monoxide, hydrocarbons and nitrogen and sulfur dioxides in the atmospheric air, a distribution map of the introduced integral index of atmospheric air pollution Zatm in Vladikavkaz city was constructed. The map identifies the sections of roads that are subjected to the greatest pollution. In addition to the exhausts of internal combustion engines, car tyres are also considered as a pollution source and the assessment is given according to the amount of emissions generated by their wear particles. Recommendations are given to reduce the ecological load of road transport on the environment. In the future, it is planned to carry out experimental investigations to study the dynamics of emissions, as well as to study the concentrations of other pollutants.

Electrostatic removal of ultrafine carbon black with square-grooved collecting plates: Insights for capturing black carbon emitted from ships

Ships and other mobile pollution sources emitted massive ultrafine and low-resistivity particles containing black carbon (BC), which were harmful to human health and were difficult to capture by conventional electrostatic precipitators (ESPs). In this study, nanoscale carbon black was adopted as simulated particles (SP) with similar physicochemical properties for black carbon emitted from ships (SP-BC) to investigate the feasibility of using an ESP with square-grooved collecting plates for the removal of SP-BC at low backpressures. The increased applied voltage significantly improved the total collection of SP-BC whereas may also promote the conversion of relatively larger particle size SP-BC into nano-size below 20 nm. The outlet number concentration of SP-BC under 27 kV at 130°C was three times that of the inlet. While the reduction of the flow rate could strengthen the capture of SP-BC below 20 nm, and under the combined action of low flow rate and maximum applied voltage, the collection efficiency of 20-100 nm SP-BC could exceed 90%. In addition, the escape and capture characteristics of SP-BC under long-term rapping were revealed. The square-grooved collecting plate could effectively restrain the re-entrainment of collected SP-BC generated by rapping, and the nanoscale SP-BC was trapped in the grooves after rapping. The results could provide insights into the profound removal of massive nanoscale black carbon emissions from mobile sources.

Mapping of enviromental pollution of air in Lviv

The condition and composition of air in Lviv are influenced by two main factors: the introduction of pollutants into the atmosphere through various sources and harmful physical effects on it. The latter includes radiation, sound vibrations, noise, and so on. These and other factors disrupt the optimal conditions of the air, which negatively affects human health and the condition and development of animals and plants. The main sources of pollutants in the air of Lviv are as follows: dust — vehicles, woodworking and building materials industry; sulfur dioxide — industrial enterprises, carbon monoxide — vehicles, thermal power plants; nitrogen dioxide — heat power companies; formaldehyde — motor transport, woodworking industry. Today, emissions from mobile sources are the biggest air pollutants in the city. The chemical composition of emissions from mobile sources of pollution is characterized by the predominance of carbon monoxide (up to 74 %), nitrogen compounds, and hydrocarbons (12 % and 11 %, respectively). Today the state of atmospheric air in large cities of Ukraine and, in particular, in the city of Lviv is at an unsatisfactory level. The main problems in this area are the progressive nature of the negative impact on the ecological state of the environment and human health. As there is currently no interactive cartographic material that can visualize the problem of environmental pollution, the main purpose of this work was to create an interactive web map of the quality of life of the population of Lviv in terms of air pollution. To achieve this goal, we collected and systematized geospatial statistical cartographic materials on the ecological conditions of the air in Lviv. The necessary software for the development of an interactive map of air pollution has been selected, and its possibilities have been studied. An algorithm for loading geospatial data into the created web resource has been developed. A template of applications for creating web maps of air pollution in Lviv was selected according to the indicators of 2020, which were measured at 30 crossroads of the city. Thus, two interactive web maps of air pollution in Lviv were developed in the environment «Google My Maps» and «ArcGIS Online».

Air pollution of the largest cities in the Volyn region: preconditions, consequences and ways of solution of this problem

Formulation of the problem. Air pollution is one of the biggest modern ecological problem, which aggravates with process of urbanization, industrial development, increasing number of vehicles, etc. So that, the article is devoted to the study the of air pollution in the largest cities of the Volyn region: Lutsk, Kowel, Novovolynsk and Volodymyr-Volynskyi. The purpose of the article is to estimate state and quality of the air in the largest cities of the Volyn region, discover the main sources of air pollution, characterize the effects of pollution on people health and environment, propose measures for solving this problem. Review of previous publications and studies. State of the air pollution in the urban areas of the Volyn region became the subject of scientific interest of many scientists. Hulai L. D., Karaim O. A. and Syniuk, A. Yu. researched ecological state of air basin and structure of sources of air pollution in the Novovolynsk City. Panasiuk M. V. and Hulai L. D. analyzed air quality in the Kovel district and Kovel City. Problems of air pollution were investigated in the studies of Kiptenko Ye. M., Kozlenko T. V. and Molchak Ya. O., Fesiuk V. O., Kartava O. F. Moreover, Poruchynska, I. V. in her publication explored ways of reducing air pollution by vehicle in the Volyn region. Methods. The most common methods in the research were analysis and synthesis, correlations and regressions, generalization and comparison. Moreover, to study the quality of air basin in the largest urban area – Lutsk City, the authors calculated index of air pollution. Results. The study defined that the main source of air pollution in the urban systems are automobiles, which produce into the atmosphere 85-95 % of all emissions. Furthermore, stationary sources such as industrial enterprises and utility companies also pollute air basin of cities with hazardous substances. However, the amount of pollutants from these sources in the Lutsk City and Volodymyr-Volynskyi City slowly decreases. The authors researched that the air basin in Lutsk City is exposed to the greatest anthropogenic loading. According to the calculation of the air pollution index, city’s air basin belongs to the quality class «polluted air». Consequences of air pollution are quite different and have impact on environment and economic complex. Besides, poor air quality can cause different diseases. To solve this problem the authors propose to reconstruct and modernize enterprises’ treatment systems, to increase the number of environmental friendly public transport, to increase the areas with greenery, to introduce green logistics in transportation. The authors concluded that air basin in the most urbanized areas of the Volyn region is quite polluted, which caused by using vehicles and functioning of manufacture. So that, it is suggested measures to reduce the amount of emission from different source of pollution. Scientific novelty and practical significance. The main preconditions and trends of modern changes in air quality of the largest cities in the Volyn region was researched for the first time. Furthermore, the authors identified the main sources of air pollution, which have affected the quality of urban air basins during recent years. In addition, index of air pollution in the Lutsk City was calculated for the period 2015-2020. The article proposes measures to improve air quality and reduce emissions from stationary and mobile sources of pollution.

Airborne lead and polychlorinated biphenyls (PCBs) are associated with amyotrophic lateral sclerosis (ALS) risk in the U.S

Amyotrophic lateral sclerosis (ALS) risk is linked to environmental exposures. The National Emissions Inventory (NEI) database compiles mandatory reports of levels of airborne contaminants from a variety of stationary and mobile pollution sources across the U.S. The objective of this study was to identify airborne contaminants that may be associated with ALS etiology for future study. We geospatially estimated exposure to airborne contaminants as risk factors for ALS in a nationwide large de-identified medical claims database, the SYMPHONY Integrated Dataverse®. We extracted zip3 of residence at diagnosis of ~26,000 nationally distributed ALS patients and n = 3 non-ALS controls matched per case for age and sex. We individually aggregated the median levels of each of 268 airborne contaminants recorded in the NEI database for 2008 to estimate local residential exposure. We randomly broke the dataset into two independent groups to form independent discovery and validation cohorts. Contaminants associated with increased ALS risk in both the discovery and validation studies included airborne lead (false discovery rate (FDR) = 0.00077), and polychlorinated biphenyls (PCBs), such as heptachlorobiphenyl (FDR = 3.60E−05). Small aircraft were the largest source of airborne lead, while the PCB emissions came from certain power plants burning biomass, and from industrial boilers. Associations with residential history of lead exposure were confirmed in two additional cohorts (10 year top quartile in New Hampshire/Vermont OR 2.46 95% CI 1.46–2.80, and in Ohio OR 1.60 95% CI 1.28–1.98). The results of our geospatial analysis support neurotoxic airborne metals and PCBs as risk factors for ALS.

Assessment of the levers of influence over sustainable development target values of the agricultural sector

Assessment of the levers of influence over sustainable development target values of the agricultural sector

Research on the Effect of an Environmental Protection Tax Policy on Haze Control in China—Empirical Analysis Based on Provincial Panel Data

This paper describes the construction of a model to explore the effectiveness of environmental protection taxes on haze emission reduction in China. The model is based on panel data from 30 provinces and cities in China, from 2003–2019. It is found that the current environmental protection tax has a significant inhibitory effect on haze. In addition, an upfront pollutant discharge fee can guide enterprises to significantly reduce the emission of haze-causing pollutants. A robustness test is conducted, using the variable substitution method of taking sulfur dioxide (SO2) as haze, and the research conclusions are consistent. We then put forward three specific suggestions: (1) Expand the scope of the environmental protection tax, gradually increase the tax rate, or adopt an excessive progressive tax rate. For example, China could consider including mobile pollution sources into the scope of taxation. (2) Increase the supervision and collection of the environmental protection tax. (3) Strengthen the multiple linkages between regional taxation departments and environmental protection departments, in order to form a collaboration between the departments in an effort to control haze and promote the sustainable development of the Chinese economy and the environment.

О воздействии строительства и содержания автодорог на придорожную растительность

The article provides data on the results of long-term monitoring of the state of vegetation along the main highways of Belarus, caused by environmental pollution in roadside strips with deicing reagents based on sodium chloride in winter in combination with a set of other negative factors (exhaust gases from mobile sources of pollution, changes in environmental conditions, extreme manifestations of weather and climatic factors).

CASE STUDY: DEVELOPING TANZANIA’S TRANSPORT INFRASTRUCTURE MANAGEMENT SYSTEM (TIMS)

This case study profiles the steps taken to develop a process for developing a transportation information management system protype. The case study was initiated in response to a pattern of growth whereas, Tanzania is increasingly becoming a mobile society that suffers severely from traffic congestion, delay and mobile source pollution. Meeting the challenges of greater mobility, accessibility, land use development, economic growth and revenue constraints requires that transport investment and maintenance strategies be optimized. In this case study we define transportation information management system (TIMS), in the context of the Tanzania 2014 transportation network. In doing so an argument is made for developing a base line digital transport network analysis, as a starting point. In doing so, we identify a suite of decision-making tools and a stable of performance variables. As well, this case study presents a draft: work plan which emerged during this effort. Developing effective congestion relief strategies requires going beyond the collection of geotechnical like shoulder width, guardrails, vegetation, road length and width, culverts, volume, drainage, terrain, rail crossing, number of lanes, bridges locations, and type of terrain. A comprehensive analysis of congestion requires a fully loaded transportation database with the following characteristics: regional, trunk line, and local roads; travel, time, ADT, population, employment, landuse, and income data at the regional and ward level and; transit line and multi modal infrastructure data. To test multiple congestion mitigation strategies advanced analysis tools are helpful to analyze the impact that network connectivity, pedestrian flows, population growth, travel demand, landuse, and community have accessibility. Equally important is the need have a skilled professional, and technical workforce that has not only the theoretical knowledge but also the technical training to use buffer, proximity, travel demand and simulation tools to assess the impacts of population concentrations, vehicle travel and goods movement.

Effect of Different Pollution Parameters and Chemical Components of PM2.5 on Health of Residents of Xinxiang City, China.

The present study was planned to explore the pollution characteristics, health risks, and influence of atmospheric fine particulate matter (PM2.5) and its components on blood routine parameters in a typical industrial city (Xinxiang City) in China. In this study, 102 effective samples 28 (April–May), 19 (July–August), 27 (September–October), 28 (December–January) of PM2.5 were collected during different seasons from 2017 to 2018. The water-soluble ions and metal elements in PM2.5 were analyzed via ion chromatography and inductively coupled plasma–mass spectrometry. The blood routine physical examination parameters under different polluted weather conditions from January to December 2017 and 2018, the corresponding PM2.5 concentration, temperature, and relative humidity during the same period were collected from Second People’s Hospital of Xinxiang during 2017–2018. Risk assessment was carried out using the generalized additive time series model (GAM). It was used to analyze the influence of PM2.5 concentration and its components on blood routine indicators of the physical examination population. The “mgcv” package in R.3.5.3 statistical software was used for modeling and analysis and used to perform nonparametric smoothing on meteorological indicators such as temperature and humidity. When Akaike’s information criterion (AIC) value is the smallest, the goodness of fit of the model is the highest. Additionally, the US EPA exposure model was used to evaluate the health risks caused by different heavy metals in PM2.5 to the human body through the respiratory pathway, including carcinogenic risk and non-carcinogenic risk. The result showed that the air particulate matter and its chemical components in Xinxiang City were higher in winter as compared to other seasons with an overall trend of winter > spring > autumn > summer. The content of nitrate (NO3−) and sulfate (SO42−) ions in the atmosphere were higher in winter, which, together with ammonium, constitute the main components of water-soluble ions in PM2.5 in Xinxiang City. Source analysis reported that mobile pollution sources (coal combustion emissions, automobile exhaust emissions, and industrial emissions) in Xinxiang City during the winter season contributed more to atmospheric pollution as compared to fixed sources. The results of the risk assessment showed that the non-carcinogenic health risk of heavy metals in fine particulate matter is acceptable to the human body, while among the carcinogenic elements, the order of lifetime carcinogenic risk is arsenic (As) > chromium(Cr) > cadmium (Cd) > cobalt(Co) > nickel (Ni). During periods of haze pollution, the exposure concentration of PM2.5 has a certain lag effect on blood routine parameters. On the day when haze pollution occurs, when the daily average concentration of PM2.5 rises by 10 μg·m−3, hemoglobin (HGB) and platelet count (PLT) increase, respectively, by 9.923% (95% CI, 8.741–11.264) and 0.068% (95% CI, 0.067–0.069). GAM model analysis predicted the maximum effect of PM2.5 exposure concentration on red blood cell count (RBC) and PLT was reached when the hysteresis accumulates for 1d (Lag0). The maximum effect of exposure concentration ofPM2.5 on MONO is reached when the lag accumulation is 3d (Lag2). When the hysteresis accumulates for 6d (Lag5), the exposure concentration of PM2.5 has the greatest effect on HGB. The maximum cumulative effect of PM2.5 on neutrophil count (NEUT) and lymphocyte (LMY) was strongest when the lag was 2d (Lag1). During periods of moderate to severe pollution, the concentration of water-soluble ions and heavy metal elements in PM2.5 increases significantly and has a significant correlation with some blood routine indicators.