scholarly journals A study of the dust content in the air of the urban environment

Vestnik MGSU ◽  
2020 ◽  
pp. 1425-1439
Author(s):  
Phan Thi An ◽  
Ilkhomzhon S. Shukurov ◽  
Pham Van Luong ◽  
Lola I. Shukurova

Introduction. Hanoi is the capital of the Socialist Republic of Vietnam. Hanoi grows according to the following pattern: its central district has several satellites (5 cities) that are accessible by transport systems such as railways, motorways, waterways, etc. Air quality gets worse due to the growing number of urban residents, their personal vehicles, industrial development and other sources of emissions, and each of these factors has a great impact on human health and the state of the environment. Materials and methods. This study uses PM2.5 data generated by two automatic air monitoring stations located in the northern centre for environmental monitoring of the Environmental Protection Agency of Vietnam and the US Embassy in Vietnam. Methods of statistical assessment and analysis were applied to evaluate the difference in PM2.5 dust concentration at different stages of urban development. Results. The problem of PM2.5 pollution in Vietnam is particularly relevant, because it threatens public health. In residential areas located in urban neighborhoods notorious for heavy traffic and industrial enterprises, pollution levels still exceed admissible QCVN limits. On the contrary, air pollution is lower in suburban residential areas. Conclusions. The paper discusses the consequences of environmental pollution, caused by PM2.5 fine dust as a result of urbanization in Hanoi, and analyses urban planning solutions aimed at pollution reduction.

Author(s):  
Y. Holub

The article reveals the main features of the development of the urban environment. The structure of the urban economy, the environmental aspects of the development of modern cities are considered. The economic progress of any city is closely related to the territory in which it is located. Prioritization of use by individual territories depends on changes in the socio-economic sphere. The main factors of transformational changes in the urban economy are highlighted, among them – the development of human society, which stimulates the emergence of new industries and technologies, the gradual loss of the cities industrial function due to the increasing influence of the services sector, concentration in the cities large numbers of the population, which causes the renovation of the infrastructure, development of service, cultural and entertainment facilities, the environmental degradation, which encourages cities to refuse dirty production and road transport. The ecological state of Chernihiv and the dynamics of its changes are characterized. Chernihiv belongs to the type of cities with relatively high level of industrial development. Industrial complex of the city, having significant share in the real sector of economy of the city, considerably influences the level and quality of life of city inhabitants. Industrial enterprises of the city went through a deep economic crisis, and beginning since 2002, stood on the way of post-crisis development, that means stabilization and rebirth of production. One of the peculiarities of industrial infrastructure of the city is that most of industrial facilities are located outside residential areas of the city. Analyzed the results of a survey among residents of the city on the idea of sustainable (balanced) development. According to the data, the population is characterized by insufficient information about the Sustainable Development Goals (SDGs). The results of a sociological study record the trend of the gradual spread of eco-regulatory practices among the population. First of all, it concerns energy conservation, cycling and rational use of natural resources.


2021 ◽  
Vol 258 ◽  
pp. 06024
Author(s):  
Anatoly Nevelev ◽  
Alfiya Kamaletdinova

The sustainability of an industrial region is rooted in the sustainability of the production process itself. Industrial production is strictly focused on the product, which plays a crucial role in production structure. The instability of production is associated with the delta-result, which should be the subject of scientific research. The delta rule is the difference between the result and the product. It categorically grasps the source of instability of the region’s production and industrial development as a whole. The interaction of material production and science, as an ideal production, provides the most optimal conditions for managing the complete result of an industrial region’s life activity. The article presents the rationale for using the delta-result assessment methodology in the analysis of sustainable development of the region, including the processes of goal-setting and sustainable development. The work results can be used to improve the efficiency of management of both industrial enterprises and institutions carrying out sectoral or territorial regulation.


2018 ◽  
pp. 5-29 ◽  
Author(s):  
L. M. Grigoryev ◽  
V. A. Pavlyushina

The phenomenon of economic growth is studied by economists and statisticians in various aspects for a long time. Economic theory is devoted to assessing factors of growth in the tradition of R. Solow, R. Barrow, W. Easterly and others. During the last quarter of the century, however, the institutionalists, namely D. North, D. Wallis, B. Weingast as well as D. Acemoglu and J. Robinson, have shown the complexity of the problem of development on the part of socioeconomic and political institutions. As a result, solving the problem of how economic growth affects inequality between countries has proved extremely difficult. The modern world is very diverse in terms of development level, and the article offers a new approach to the formation of the idea of stylized facts using cluster analysis. The existing statistics allows to estimate on a unified basis the level of GDP production by 174 countries of the world for 1992—2016. The article presents a structured picture of the world: the distribution of countries in seven clusters, different in levels of development. During the period under review, there was a strong per capita GDP growth in PPP in the middle of the distribution, poverty in various countries declined markedly. At the same time, in 1992—2016, the difference increased not only between rich and poor groups of countries, but also between clusters.


2020 ◽  
Vol 68 (4) ◽  
pp. 303-314
Author(s):  
Yuna Park ◽  
Hyo-In Koh ◽  
University of Science and Technology, Transpo ◽  
University of Science and Technology, Transpo ◽  
University of Science and Technology, Transpo ◽  
...  

Railway noise is calculated to predict the impact of new or reconstructed railway tracks on nearby residential areas. The results are used to prepare adequate counter- measures, and the calculation results are directly related to the cost of the action plans. The calculated values were used to produce noise maps for each area of inter- est. The Schall 03 2012 is one of the most frequently used methods for the production of noise maps. The latest version was released in 2012 and uses various input para- meters associated with the latest rail vehicles and track systems in Germany. This version has not been sufficiently used in South Korea, and there is a lack of standard guidelines and a precise manual for Korean railway systems. Thus, it is not clear what input parameters will match specific local cases. This study investigates the modeling procedure for Korean railway systems and the differences between calcu- lated railway sound levels and measured values obtained using the Schall 03 2012 model. Depending on the location of sound receivers, the difference between the cal- culated and measured values was within approximately 4 dB for various train types. In the case of high-speed trains, the value was approximately 7 dB. A noise-reducing measure was also modeled. The noise reduction effect of a low-height noise barrier system was predicted and evaluated for operating railway sites within the frame- work of a national research project in Korea. The comparison of calculated and measured values showed differences within 2.5 dB.


Author(s):  
Rasol Murtadha Najah

This article discusses the application of methods to enhance the knowledge of experts to build a decision-making model based on the processing of physical data on the real state of the environment. Environmental parameters determine its ecological state. To carry out research in the field of expert assessment of environmental conditions, the analysis of known works in this field is carried out. The results of the analysis made it possible to justify the relevance of the application of analytical, stochastic models and models based on methods of enhancing the knowledge of experts — experts. It is concluded that the results of using analytical and stochastic objects are inaccurate, due to the complexity and poor mathematical description of the objects. The relevance of developing information support for an expert assessment of environmental conditions is substantiated. The difference of this article is that based on the analysis of the application of expert methods for assessing the state of the environment, a fuzzy logic adoption model and information support for assessing the environmental state of the environment are proposed. The formalization of the parameters of decision-making models using linguistic and fuzzy variables is considered. The formalization of parameters of decision-making models using linguistic and fuzzy variables was considered. The model’s description of fuzzy inference is given. The use of information support for environment state assessment is shown on the example of experts assessing of the land desertification stage.


2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Emily Chang ◽  
Kenneth Zhang ◽  
Margaret Paczkowski ◽  
Sara Kohler ◽  
Marco Ribeiro

Abstract Background This study seeks to answer two questions about the impacts of the 2020 Environmental Protection Agency’s enforcement regulation rollbacks: is this suspension bolstering the economic viability of industries as oil and manufacturing executives claim they will and are these regulations upholding the agency’s mission of protecting the environment? Results To answer the former question, we utilized 6 months of state employment level data from California, United States, as a method of gauging the economic health of agency-regulated industries. We implemented a machine learning model to predict weekly employment data and a t-test to indicate any significant changes in employment. We found that, following California's state-issued stay-at-home order and the agency’s regulation suspension, oil and certain manufacturing industries had statistically significant lower employment values. To answer the latter question, we used 10 years of PM2.5 levels in California, United States, as a metric for local air quality and treatment–control county pairs to isolate the impact of regulation rollbacks from the impacts of the state lockdown. Using the agency’s data, we performed a t-test to determine whether treatment–control county pairs experienced a significant change in PM2.5 levels. Even with the statewide lockdown—a measure we hypothesized would correlate with decreased mobility and pollution levels—in place, counties with oil refineries experienced the same air pollution levels when compared to historical data averaged from the years 2009 to 2019. Conclusions In contrast to the expectation that the suspension would improve the financial health of the oil and manufacturing industry, we can conclude that these industries are not witnessing economic growth with the suspension and state shutdown in place. Additionally, counties with oil refineries could be taking advantage of these rollbacks to continue emitting the same amount of PM2.5, in spite of state lockdowns. For these reasons, we ask international policymakers to reconsider the suspension of enforcement regulations as these actions do not fulfill their initial expectations. We recommend the creation and maintenance of pollution control and prevention programs that develop emission baselines, mandate the construction of pollution databases, and update records of pollution emissions.


2019 ◽  
Vol 957 ◽  
pp. 195-202 ◽  
Author(s):  
Elizaveta Gromova

With the onset of the Fourth Industrial Revolution, the business environment becomes inherent in changes that occur with maximum speed, as well as characterized by the systemic nature of the consequences. One of them is the transformation of operational management models in industrial enterprises. The modern manufacturing system should focus not only on speed of response and flexibility, but also on the cost and quality of products. Integration of effective models: agile manufacturing, quick response manufacturing and lean production, in order to extract the best from them is proposed. The purpose of this study is to analyze this flexible manufacturing system and to relate it to the current state of the Russian industrial development. Theoretical and practical aspects of this model are presented. The examples of the flexible models introduction in the Russian industrial sector is allocated. The conclusion about the necessity of the flexible manufacturing systems implementation for the Russian industrial development is drawn.


2020 ◽  
Author(s):  
Bujin Bekbulat ◽  
Joshua S. Apte ◽  
Dylan B Millet ◽  
Allen Robinson ◽  
Kelley C. Wells ◽  
...  

<p>Analysis of a large national dataset of fine particulate matter (PM2.5) and ozone air pollution from the US Environmental Protection Agency indicate opposing differences in average concentrations during the covid response period, relative to expected levels. These are the two most important pollutants in terms of public health impacts and regulatory non-attainment in the US. Post-covid response, average PM2.5 levels are slightly higher (~5%) than expected; average ozone levels are slightly lower (~5%). The size of post-response ozone anomaly has decreased with time and by week 6 after the first stay-at-home order was enacted (April 29- May 5, 2020), ozone levels were higher than expected. In addition, no individual US state had lower-than-expected PM2.5 and ozone for all weeks post- covid response. Two non-covid factors, meteorology and regional transport, do not fully explain observed trends. These findings are unexpected given the large reduction in many household’s activities associated with “stay at home” and other covid responses. We hypothesize that this result partly arises from the fact that ozone and the majority of PM2.5 are secondary pollutants formed in the atmosphere from emissions from many sources (i.e., not just traffic). Preliminary analysis of nitrogen dioxide (NO2) data in a few cities reveals substantially lower-than-expected (~30%) concentrations post-covid. NO2 is a primary pollutant and is much more strongly associated with traffic than PM2.5 or ozone. </p><p><br></p>


2019 ◽  
Vol 1 ◽  
pp. 1-2
Author(s):  
Yuji Murayama ◽  
Yuki Iwai

<p><strong>Abstract.</strong> This presentation discusses the regional changes quantitatively in the 200 years through the overlay analysis of the present map and the INŌ’s map made by Tadataka INO in 1821 (Figure 1). INO surveyed the coastline and major roads on foot. He investigated not only survey lines, but also various geographic information such as rivers, lakes, mountains, village names, castles, temples, administrative boundaries, etc. Visualizing all of the 214 sheets of the INŌ’s large-scale map with Geographic Information Systems (GIS), we can analyse the national land condition seamlessly at the end of the Edo era.</p><p>Methodological point of view, we have serious problems including the scale, projection, identification of geographic features and so on, when we compare the old map with the present. In this connection, digitalizing the INŌ’s map as the GIS data is very useful to examine the spatial transformation scientifically during the 200 years. The digital INŌ’s map was constructed by employing the geo-reference function of GIS with the triangulation method. The survey line was converted into the line feature of vector data, and the place names were converted into the point feature of raster data. The distance of the survey line was measured by GIS-based geometric operation.</p><p>We obtained the following findings. The distributions of villages, ports, and facilities in western Japan were denser than those in eastern Japan in the 19th century. This was caused not only by the difference in natural environment and landform but also by socioeconomic factors including the locations of the castle towns and industrial activities. The regional structure has been dramatically transformed by the modernization of the political system, transportation system, and industrial development in reclaimed areas (Figure 2). It is concluded that most parts of changes in regional characteristics have been attained by overcoming the natural constraints. However, the difference in the political system has also been influential to the formation of the present regional system.</p>


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