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Developmental features of non-urban areas using local peat resources in a sustainable way

Semin Alexander N., Grevtsev Nikolay V., Antoninova Natalya Yu.

Journal of Water and Land Development

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2021

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no. 50

79--84

EN

The article discusses the spatial development of non-urban areas based on the use of local peat resources. Creating a methodology for the advanced spatial development of non-urban areas has peat resources based on multi-criteria optimisation of production and social infrastructures. The industrial and social infrastructure of the non-urban areas having reserves of peat, associated mineral, and industrial raw materials. Regularities, trends, and features of formation and functioning of the productive and social infrastructure of the natural and man-made complex in the development of peat reserves, associated mineral, and industrial raw materials. To achieve this goal, it is necessary to conduct interdisciplinary research and solve the following specific objectives: (1) the scientific justification of new technological processes and equipment for peat and mineral raw materials processing for obtaining new composite materials for multiple purposes; (2) the feature analysis of the use of local peat resources to provide the development of non-urban areas based on a set of scientific approaches; (3) the development of the methodology for project management of the natural and man-made complex to ensure multi-criteria optimisation of productive and social infrastructure. The example of the Khanty-Mansiysk Autonomous Okrug – Yugra development selected results of confronting the existing “big grand” and national challenges through the mechanisms of rational use of local peat resources non-urban areas are illustrated. The results indicated that by 2030 there would be a 3.8-fold increase in mineral extraction and a 5.9-fold increase in processing industries.

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Sharing economy development paths in non-urban areas. The case of hospitality product in polish national parks

Pawlicz A., Kubicki R.

Ekonomia i Środowisko

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2017

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nr 4

166--176

EN

Although the recent rise of sharing economy platforms revolutionized hospitality market around the world, its impact is unevenly distributed, as a majority of new P2P accommodation providers emerged in urban areas. The aim of this study is to provide sharing economy development paths in areas surrounding all 23 national parks in Poland. This study is conducted basing on data from online observation of 2 sharing economy platforms development with data gathered from official census. Results show that sharing economy is still in its nascent stage in non-urban areas; there is a strong positive relationship between sharing economy accommodation establishments and both the population density and income per capita, population density and income per capita have no effect on the ratio between the number of traditional and sharing economy accommodation establishments. This study contributes to existing literature in following areas: it assesses the sharing economy phenomenon in areas with natural attractions, it validates the relationship between area population density and sharing economy proliferation, it examines the connection between area economic performance and sharing economy proliferation.

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Concentration changes of PM10 under liquid precipitation conditions

Olszowski T.

Ecological Chemistry and Engineering. S

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2015

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Vol. 22, nr 3

363--378

EN

This study reports the results of field research into variability of the scavenging coefficient (Λ) of suspended dust comprising particles with aerodynamic diameters less than 10 mm. Registration of PM10 over 7 years in conditions of the occurrence of rainfall (convective light showers, large-scale precipitation and storms) was undertaken in an undeveloped rural area. The analysis involved 806 observations taken at constant time intervals of 0.5 hour. The measurements of the concentration of PM10 were performed by means of a reference method accompanied by concurrent registration of basic meteorological parameters. It was found that, for PM10, the scavenging efficiency is considerably influenced by rainfall intensity R and the type of precipitation. In the case of convective precipitation, data on Λ are only partially related to “classical approach” of rain scavenging. Within the range of comparable values of rainfall intensity, the type of wet deposition (except for storms) does not influence the effectiveness of scavenging PM10 from the ground-level zone. The large number of observations conducted in real-time conditions yielded a proposal of simple regression model, which can be deemed suitable for the description of variability Λ (DPM10), but only to a limited extent for large-scale precipitation. The collected results can be applied in air pollution dispersion models and deposition and were found to be generally representative for areas with similar climatic characteristics.

PL

W pracy przedstawiono wyniki polowych badań nad zmiennością współczynnika wymywania Λ pyłu zawieszonego o aerodynamicznej średnicy cząstek poniżej 10 μm. Siedmioletnie rejestracje zmian stężenia PM10 w warunkach występowania trzech typów opadów ciekłych (konwekcyjnych, wielkoskalowych i burz) przeprowadzono na obszarze niezurbanizowanym. Analizie poddano 806 przypadków obserwacji o stałej rozdzielczości czasowej 0,5 h. Pomiary stężenia PM10 prowadzono z użyciem metody referencyjnej przy jednoczesnej rejestracji podstawowych parametrów meteorologicznych. Wykazano, że dla PM10 efektywność wymywania jest silnie zależna od intensywności opadu R oraz od typu opadu. W przypadku opadów konwekcyjnych dane dotyczące wartości Λ są tylko częściowo związane z „klasycznym podejściem” wymywania cząstek przez deszcz. W zakresie porównywalnych wartości intensywności opadu typ mokrej depozycji (z wyjątkiem burz) nie wpływa na efektywność oczyszczania troposfery przyziemnej z PM10. Znaczna ilość prowadzonych w warunkach rzeczywistych obserwacji opadów wielkoskalowych pozwoliła na zaproponowanie prostego modelu regresji, który z wysokim prawdopodobieństwem, ale w ograniczonym zakresie, może zostać uznany za odpowiedni do opisu zmienności Λ (DPM10). Uzyskane wyniki badań mogą znaleźć zastosowanie w modelach dyspersji i depozycji zanieczyszczeń i są reprezentatywne dla obszarów o podobnej charakterystyce klimatu.