The protection of urban areas from surface wastewater pollutions

Vialkova, Elena; Zemlyanova, Marina; Vorotnikova, Anna; Черкашин, Д. В.; Voronov, Andrey A.; Maksimov, Lev

doi:10.1051/matecconf/201710607008

Cited by 8 publications

(3 citation statements)

References 4 publications

(6 reference statements)

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“…Using snow cover chemical composition as a pollution indicator reliable as to basing estimation of Krasnoyarsk ecological situation upon is focused on in a monograph by Khlebopros et al [4], as well as in Strimzha et al [5], Polikanova and Talovskaya [6], Badmayeva and Zimmerman [7], Demidenko and Vladimirova [8], and Onuchin et al [9,10]. Similar studies were done in Baikal Region [11,12], for Severonikel Industrial Complex, the Kola Peninsula, NW Russia [13], Tomsk Town [14,15], Tumen Town [16] and for many other industrial towns with stable snow cover. Studying snow cover to estimate pollution, particularly traffic impacts, in urban areas attracts nowadays much interest in Scandinavia [17,18], East European countries [19][20][21][22][23][24][25], the USA [26], and China [27].…”

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confidence: 87%

Using an Urban Snow Cover Composition-Based Cluster Analysis to Zone Krasnoyarsk Town (Russia) by Pollution Level

Онучин¹,

Kofman²,

Zubareva³

et al. 2020

Pol. J. Environ. Stud.

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Pollution is among key factors that determine townsmen's life quality and is seriously considered when it comes to people's residence preferences, housing cost, house building policy, migration, and other aspects of urban area management. Accurate pollution estimation and town zoning by pollution level based on these estimates are, therefore, challenges to be taken up in big cities with highly developed industries. Krasnoyarsk (56°1'8" N, 92°52'4" E), Siberia, the town of interest of this study, is, unfortunately, an infamous industrial pollution champion among Russia's largest towns.

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confidence: 87%

Using an Urban Snow Cover Composition-Based Cluster Analysis to Zone Krasnoyarsk Town (Russia) by Pollution Level

Онучин¹,

Kofman²,

Zubareva³

et al. 2020

Pol. J. Environ. Stud.

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“…The imbalance of territories of natural and anthropogenic origin led not only to the disastrous impact on the state of the components of the natural ecosystem of the city, but also negatively affected the components of anthropogenic systems. Numerous studies on the state of the urban ecosystem show [1][2][3][4][5][6] that in the last decade the environment of exploitation has changed. In this case, damage to the ecosystem in places of extreme stress on nature is accompanied by emergency situations in the urban economy.…”

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confidence: 99%

Cartographic modeling for monitoring the technical condition of urban development objects

Dement'eva

Dement’eva

2018

MATEC Web Conf.

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The paper presents the results of a study of the risk factors for the degradation of the urban ecosystem and their impact on the state of the objects of urban development. The purpose of the study was the development of a cartographic model for predicting the change in the technical condition of a town-planning facility, taking into account external factors. The relevance of the work is justified by the increase in the flow of failures of constructions and building systems, as well as the absence of a single system for diagnosing the risk of emergency situations. In the course of the study, the methods of mapping, structural analysis, the index method, and the method of expert assessments were used. The criterion for estimating the degree of influence of the operating environment on the exploited objects, which takes into account the quality of the medium and the decrease in the durability of the object, is proposed in this work. An example of the development of a forecast scale for the operating conditions of an object in the form of a matrix model is given in this paper. On the basis of the developed cartographic model, the cause-effect relationships between the intensity of failures on the exploited objects and the degree of degradation of the city's ecosystem were revealed. The model proposed by the authors can be the basis for adjusting the monitoring of technical condition, methods of protecting structures from destruction and optimizing the planning of preventive repairs.

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“…Innovative technologies: Research, development, and application of new technologies to solve or minimize problems related to sanitary sewage [1,2,6,13,19,23,[25][26][27][31][32][33]36,37,42,[52][53][54][55][56][57][58]. …”

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confidence: 99%

The Main Drivers to Face the Challenges of Increasing the Intelligence of Sanitary Sewage Systems in Brazilian Cities

Alcantara

Chinelli

et al. 2020

Water

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The sewage system is one of the components of the complex ecosystem of cities. Although increasing the intelligence of this system is an essential driver for having smarter cities, there are few works aimed at identifying drivers that enhance the intelligence of urban sanitary sewage systems. The identification of these drivers, as well as the degree of importance of each one, is strongly influenced by the perception of researchers and professionals about the reality of each country. In this work, we identified the main drivers that increase the intelligence of the Brazilian urban sanitary sewage systems based on extensive and detailed bibliographic research and in the vision of 241 Brazilian professionals with experience in the concerned field. We used factor analysis to explore the relationship between the drivers. The survey results showed that the twenty drivers found in the literature can be grouped into six factors, depending on their approach, and that seven were considered priorities. They also showed that the path to be followed to increase the intelligence of sewage systems in Brazilian cities is still influenced by the challenges of solving structural problems.

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The protection of urban areas from surface wastewater pollutions

Cited by 8 publications

References 4 publications

Using an Urban Snow Cover Composition-Based Cluster Analysis to Zone Krasnoyarsk Town (Russia) by Pollution Level

Using an Urban Snow Cover Composition-Based Cluster Analysis to Zone Krasnoyarsk Town (Russia) by Pollution Level

Cartographic modeling for monitoring the technical condition of urban development objects

The Main Drivers to Face the Challenges of Increasing the Intelligence of Sanitary Sewage Systems in Brazilian Cities

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