EVALUATION OF THE URBAN DEVELOPMENT INFLUENCE ON POLLUTION OF SNOW COVER USING GEOINFORMATION AND STATISTICAL ANALYSIS

<p>The influence of urban development parameters on the pollution of snow with heavy metals and metalloids (HMM) has been assessed.</p><p><strong>The aim</strong> of the work is to assess the barrier functions of urban development by means of a joint analysis of data on...

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Main Authors: I. D. Korlyakov, N. E. Kosheleva
Format: Article
Language:English
Published: Laboratory of Complex Mapping, Faculty of Geography, MSU 2017-01-01
Series:InterCarto. InterGIS
Subjects:
Online Access:http://intercarto.msu.ru/jour/article/view/565
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spelling doaj-a27911a59c254e85a2d129c467828fe42020-11-24T23:41:34ZengLaboratory of Complex Mapping, Faculty of Geography, MSU InterCarto. InterGIS2414-91792414-92092017-01-0123136537310.24057/2414-9179-2017-1-23-365-373416EVALUATION OF THE URBAN DEVELOPMENT INFLUENCE ON POLLUTION OF SNOW COVER USING GEOINFORMATION AND STATISTICAL ANALYSISI. D. Korlyakov0N. E. Kosheleva1M.V. Lomonosov Moscow State UniversityM.V. Lomonosov Moscow State University<p>The influence of urban development parameters on the pollution of snow with heavy metals and metalloids (HMM) has been assessed.</p><p><strong>The aim</strong> of the work is to assess the barrier functions of urban development by means of a joint analysis of data on the content of HMM in the snow cover and the parameters of the artificial relief. The residential area of the Ulan-Ude city was chosen as an object of the study, where 27 snow samples were selected. According to the data of the snow survey in 2014, the total content of HMM in the snow suspension was determined, the priority pollutants of the snow were received and the total indicator of immission at the sampling points was calculated. Data processing in the OpenStreetMap, 2GIS, ArcGis 10.0 and Statistica 7.0 software packages made it possible to determine the main parameters of the buildings near the sampling points. Correlation analysis has shown a significant influence of building parameters on the HMM immission in the snow cover. With an increase in the total and average building area, proximity of buildings to the sampling point, an increase in the immission of most or all HMMs has been observed. The height of houses is a secondary factor which positively affects the immission of Cu and Bi. The maximum correlation links are established in radii of 50, 100 and 150 m. The parameters of development affect the total precipitation of pollutants both in all cardinal directions, and in the south-western, northeast, southeast directions, which can be explained by the wind regime features during the winter season. </p>http://intercarto.msu.ru/jour/article/view/565urban developmentpollutionimmissionheavy metals and metalloidssnow cover
collection DOAJ
language English
format Article
sources DOAJ
author I. D. Korlyakov
N. E. Kosheleva
spellingShingle I. D. Korlyakov
N. E. Kosheleva
EVALUATION OF THE URBAN DEVELOPMENT INFLUENCE ON POLLUTION OF SNOW COVER USING GEOINFORMATION AND STATISTICAL ANALYSIS
InterCarto. InterGIS
urban development
pollution
immission
heavy metals and metalloids
snow cover
author_facet I. D. Korlyakov
N. E. Kosheleva
author_sort I. D. Korlyakov
title EVALUATION OF THE URBAN DEVELOPMENT INFLUENCE ON POLLUTION OF SNOW COVER USING GEOINFORMATION AND STATISTICAL ANALYSIS
title_short EVALUATION OF THE URBAN DEVELOPMENT INFLUENCE ON POLLUTION OF SNOW COVER USING GEOINFORMATION AND STATISTICAL ANALYSIS
title_full EVALUATION OF THE URBAN DEVELOPMENT INFLUENCE ON POLLUTION OF SNOW COVER USING GEOINFORMATION AND STATISTICAL ANALYSIS
title_fullStr EVALUATION OF THE URBAN DEVELOPMENT INFLUENCE ON POLLUTION OF SNOW COVER USING GEOINFORMATION AND STATISTICAL ANALYSIS
title_full_unstemmed EVALUATION OF THE URBAN DEVELOPMENT INFLUENCE ON POLLUTION OF SNOW COVER USING GEOINFORMATION AND STATISTICAL ANALYSIS
title_sort evaluation of the urban development influence on pollution of snow cover using geoinformation and statistical analysis
publisher Laboratory of Complex Mapping, Faculty of Geography, MSU
series InterCarto. InterGIS
issn 2414-9179
2414-9209
publishDate 2017-01-01
description <p>The influence of urban development parameters on the pollution of snow with heavy metals and metalloids (HMM) has been assessed.</p><p><strong>The aim</strong> of the work is to assess the barrier functions of urban development by means of a joint analysis of data on the content of HMM in the snow cover and the parameters of the artificial relief. The residential area of the Ulan-Ude city was chosen as an object of the study, where 27 snow samples were selected. According to the data of the snow survey in 2014, the total content of HMM in the snow suspension was determined, the priority pollutants of the snow were received and the total indicator of immission at the sampling points was calculated. Data processing in the OpenStreetMap, 2GIS, ArcGis 10.0 and Statistica 7.0 software packages made it possible to determine the main parameters of the buildings near the sampling points. Correlation analysis has shown a significant influence of building parameters on the HMM immission in the snow cover. With an increase in the total and average building area, proximity of buildings to the sampling point, an increase in the immission of most or all HMMs has been observed. The height of houses is a secondary factor which positively affects the immission of Cu and Bi. The maximum correlation links are established in radii of 50, 100 and 150 m. The parameters of development affect the total precipitation of pollutants both in all cardinal directions, and in the south-western, northeast, southeast directions, which can be explained by the wind regime features during the winter season. </p>
topic urban development
pollution
immission
heavy metals and metalloids
snow cover
url http://intercarto.msu.ru/jour/article/view/565
work_keys_str_mv AT idkorlyakov evaluationoftheurbandevelopmentinfluenceonpollutionofsnowcoverusinggeoinformationandstatisticalanalysis
AT nekosheleva evaluationoftheurbandevelopmentinfluenceonpollutionofsnowcoverusinggeoinformationandstatisticalanalysis
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