Assessment of the Impact of Road Traffic on the Pollution of Urbanized Territories

Экономическое развитие всех регионов основано на доступе людей к товарам и услугам, которые обеспечиваются современной транспортной инфраструктурой. Автомобильный транспорт является основным способом транспортировки грузов и населения. В то же время положительные аспекты использования транспорта тесно связаны с такими негативными аспектами, как загрязнение окружающей среды и отрицательным влиянием на здоровье человека. На территории Республики Северная Осетия - Алания наибольший вклад в загрязнение окружающей среды вносит деятельность предприятий цветной металлургии и автотранспорта. Более 30 предприятий находится в промышленном узле г. Владикавказа, и их деятельность в той или иной мере связана с загрязнением атмосферного воздуха. Значительный вклад в загрязнение воздуха вносит автотранспорт, количество которого в г. Владикавказе, по данным Федеральной службы государственной статистики, за последние 20 лет увеличилось более чем в 2 раза. Цель исследования. Изучение основных источников загрязнения окружающей среды автомобильным транспортом, исследование взаимосвязей между уровнем загрязнения среды, интенсивностью движения и экологическим классом автомобильного транспорта. Установление показателя загрязнения окружающей среды автомобильным транспортом, характеризующего степень воздействия на окружающую среду и здоровье населения. Методы исследования. В ходе настоящей работы были собраны и проанализированы все имеющиеся данные по динамике объемов выбросов от стационарных источников и автотранспорта на территории РСО-А за 1997–2015 гг. Указанные данные обрабатывались с помощью корреляционного и регрессионного анализов. Результаты работы. Результаты исследований позволили установить, что прослеживается прямая зависимость или тренд между плотностью потока машин и загрязнением воздушной среды. Установлено, что выбросы от автомобильного транспорта на порядок превосходят стационарные источники. Предложен суммарный показатель Zатм загрязнения атмосферного воздуха, рассчитываемый как сумма отношений концентрации отдельных загрязнителей к соответствующим значениям ПДК за вычетом количества используемых показателей. The economic development of any country is based on the access of population to goods and services that are provided by modern transport infrastructure. Currently, road transport is the most common way of transporting goods and people. At the same time, the positive aspects of using transport are closely related to such negative aspects as environmental pollution and negative impact on public health. On the territory of the Republic of North Ossetia-Alania, the largest contribution to environmental pollution is made by the activities of non-ferrous metallurgy enterprises and vehicles. More than 30 enterprises are located in the industrial hub of the city of Vladikavkaz, and their activities to one degree or another are associated with atmospheric air pollution. A significant contribution to air pollution is made by motor vehicles.Their number in Vladikavkaz has more than doubled over the past 20 years, according to the Federal State Statistics Service. Aim. Study of the main sources of pollution of an urbanized area by road transport. The research and identification of the relationship between the level of environmental pollution, traffic intensity and the ecological class of road transport and the establishment of an indicator of environmental pollution by road transport, characterizing the degree of impact on the environment and safety of the population. Methods. In the course of this study, all the available data on the dynamics of emissions from stationary sources and vehicles on the territory of North Ossetia-A for 1997–2015 were collected and analyzed. These data were processed using correlation and regression analyzes. Results.The research results made it possible to establish that there is a direct relationship or trend between the flow density of cars and air pollution. It was found that emissions from road transport exceed stationary sources by an order of magnitude. A total indicator Zatm of atmospheric air pollution is proposed, calculated as the sum of the ratios of the concentration of individual pollutants to the corresponding MPC values minus the number of indicators used.

RANKING OF THE CITY TERRITORY BASED ON THE RESULTS OF CALCULATED MONITORING OF ATMOSPHERIC AIR POLLUTION FROM STATIONARY SOURCES

The article focuses on a method for ranking the city territory according to the level of atmospheric pollu-tion. Calculations of dispersion of emissions from stationary sources are performed, maximum one-time and average annual concentrations of harmful substances for the city of Nizhnekamsk, which is a large center of the petrochemical and oil refining industries, are determined. Analysis of peak short-term expo-sures is carried out on the basis of maximum concentrations expressed in terms of hygiene standards, reference concentrations for acute inhalation exposure and odor thresholds of substances. Long-term impact analysis is based on the Integrated Air Pollution Index. Based on the results of the calculation of these parameters, the zoning of the city'territory is carried out.

Effects of Humidity Pretreatment Devices on the Loss of HCl Gas Emitted from Industrial Stacks

A high humidity at a high temperature presents a common challenge in monitoring the air pollutants emitted from stationary sources. Thus, humidity removal is a pivotal issue. In this study, the effect of humidity pretreatment devices (HPDs) on hydrogen chloride (HCl) gas emitted from an incinerator stack was investigated. A conventional cooler (HPD_CL), and poly-tube (HPD_NP) and single-tube (HPD_NS) Nafion™ dryers were used as HPDs in this study. HCl concentrations varied at five and 10 parts per million in volume (ppmv). Low (i.e., ~4%) and high (i.e., ~17%) humidities were generated at 180 °C. The removal efficiencies of humidity and the loss rates of HCl by the devices were determined. The removal efficiencies of humidity by HPD_CL and the two dryers were found to be similar, at approximately 85% at a low humidity and 95% at a high humidity. In terms of HCl loss rates, HPD_CL revealed the highest loss rates in all conditions (i.e., >95%), followed by HPD_NP and HPD_NS. At normal room temperature (i.e., 25 °C), the HCl loss rates of HPD_NP were >40% at a low humidity and >70% at a high humidity, while those of HPD_NS were >10% at a low humidity and >60% at a high humidity. The performance of the two dryers improved when they were heated to 80 °C. However, this temperature caused damage to the dryers, which reduced their lifetime.

Pricing indirect emissions accelerates low—carbon transition of US light vehicle sector

Large–scale electric vehicle adoption can greatly reduce emissions from vehicle tailpipes. However, analysts have cautioned that it can come with increased indirect emissions from electricity and battery production that are not commonly regulated by transport policies. We combine integrated energy modeling and life cycle assessment to compare optimal policy scenarios that price emissions at the tailpipe only, versus both tailpipe and indirect emissions. Surprisingly, scenarios that also price indirect emissions exhibit higher, rather than reduced, sales of electric vehicles, while yielding lower cumulative tailpipe and indirect emissions. Expected technological change ensures that emissions from electricity and battery production are more than offset by reduced emissions of gasoline production. Given continued decarbonization of electricity supply, results show that a large–scale adoption of electric vehicles is able to reduce CO2 emissions through more channels than previously expected. Further, carbon pricing of stationary sources will also favor electric vehicles.

Real Time Blind Source Separation in Reverberant Environments

<p>An online convolutive blind source separation solution has been developed for use in reverberant environments with stationary sources. Results are presented for simulation and real world data. The system achieves a separation SINR of 16.8 dB when operating on a two source mixture, with a total acoustic delay was 270 ms. This is on par with, and in many respects outperforms various published algorithms [1],[2]. A number of instantaneous blind source separation algorithms have been developed, including a block wise and recursive ICA algorithm, and a clustering based algorithm, able to obtain up to 110 dB SIR performance. The system has been realised in both Matlab and C, and is modular, allowing for easy update of the ICA algorithm that is the core of the unmixing process.</p>

Real Time Blind Source Separation in Reverberant Environments

<p>An online convolutive blind source separation solution has been developed for use in reverberant environments with stationary sources. Results are presented for simulation and real world data. The system achieves a separation SINR of 16.8 dB when operating on a two source mixture, with a total acoustic delay was 270 ms. This is on par with, and in many respects outperforms various published algorithms [1],[2]. A number of instantaneous blind source separation algorithms have been developed, including a block wise and recursive ICA algorithm, and a clustering based algorithm, able to obtain up to 110 dB SIR performance. The system has been realised in both Matlab and C, and is modular, allowing for easy update of the ICA algorithm that is the core of the unmixing process.</p>

Slow stationary sources

The linearized theory is applied to sources such as ordinary stars whose speed is small compared to the speed of light. This yields the “gravitoelectromagnetic” theory. The gravitoelectromagnetic field equations are obtained, along with their general solution via scalar and vector potentials. It is shown how to calculate the metric perturbation, and hence the field, due to a rotating ring or a ball, and thus how to calculate orbits, timing, and the Lense-Thirring precession.

Improvementof the computer model of air pollution estimation due to emissions of stationary sources of airports and compressor stations

Emission sources at airports and compressor stations have the potential to emit pollutants, the effects of which can degrade local air quality. In most cases, the basis of gas pumping units includes either aircraft engines that have exhausted their flight life, or their targeted modifications to fulfill the tasks of gas pumping units and compressor stations in various gas transportation systems. The methodology for calculating the concentration of pollutants contained in the emissions of enterprises does not take into account all possible features of emission sources, in terms of passive stationary sources and cold emissions, the algorithm of the methodology requires clarification and the justifications given in the article indicate possible ways of clarification. According to the decision of the CAEP SG-2020 Coordination Meeting "detailed documentation for the Ukrainian POLEMICA air quality model provided in CAEP / 12-FESG-MDG / 2-WP / 09 should be considered as the final documentation for verifying this model for compliance with ICAO document 9889 requirements" ... The results of calculating the maximum concentration for the test scenario using Gaussian models, verified in CAEP, differ by almost 2 times. A similar result according to the PolEmiCa model ~ 1.5 μg/m3 is almost two times less, which is due to the inclusion of the effects of the initial rise in the emission of the mixture from a stationary source into the algorithms of the OND-86 method