Remote sensing of heat pollution sources in the Lipetsk urban area
https://doi.org/10.55959/MSU0579-9414.5.78.6.3
Abstract
Positive temperature anomalies called “urban heat islands” (UHI) are formed in cities as a result of progressing urbanization, increasing area and density of buildings, motor transport load and anthropogenic heat emissions. Such UHI reduce the comfort of the urban environment, and affect population health and quality of life. Remote sensing data from the thermal band satellite sensors are widely used to study the UHI intensity and spatial structure. We analyzed Landsat 8 and 9 satellite imageries from 2020 to 2022 representing the Lipetsk urban area in Central Russia. Taking into account the image quality requirements, 5 “winter” and 4 “summer” scenes were selected to examine thermal anomalies. As a result of their processing a map of land surface temperature (LST) excesses over the background values and a map of LST seasonal variations were compiled. The produced maps made it possible to identify 33 principal sources of anthropogenic heat in Lipetsk. 26 of them are located within industrial zones of the left bank side of Lipetsk, including. 23 sources within the territory of the NLMK Group metallurgical combine. LST of the identified heat sources were approximately 4–9°C above the background temperatures in winter and 11–14°C above the background temperatures in summer. The results of the study could become an information-methodical basis for the space monitoring of thermal pollution in Lipetsk.
Supporting agencies: The study was financially supported by the Russian Science Foundation (project 20-17-00172).
About the Authors
S. A. Kurolap
Voronezh State University, Department of Geoecology and Environmental Monitoring
Russian Federation
Russian Federation
Professor, D.Sc. in Geography.
D. V. Sarychev
Voronezh State University, Department of Geoecology and Environmental Monitoring
Russian Federation
Russian Federation
Senior Lecturer.
I. V. Popova
Voronezh State Technical University, Department of Housing and Communal Services
Russian Federation
Russian Federation
Associate Professor, Ph.D. in Geography.
References
1. Almeida C.R.D., Teodoro A.C., Gonçalves A. Study of the Urban Heat Island (UHI) Using Remote Sensing Data Techniques: A Systematic Review, Environments, 2021, vol. 8(10), p. 105, DOI: 10.3390/environments8100105.
2. Baldina E.A., Grishchenko M.Yu., Fedorkova Yu.V. Ispol’zovanie kosmicheskih snimkov v teplovom infrakrasnom diapazone dlya geograficheskih issledovaniy [Application of satellite images in thermal infrared band for geographical research], Moskow, Mysl Publ., 2012, 120 p. (In Russian)
3. Baldina E.A., Konstantinov P.I., Grishchenko M.Yu., Varentsov M.I. Issledovanie gorodskih ostrovov tepla s pomoshch’yu dannyh distancionnogo zondirovaniya v infrakrasnom diapazone [Investigation of urban heat islands using remote sensing data in the infrared band], Zemlya iz kosmosa – naibolee effektivnye resheniya, 2015, no. 26, P. 38 – 42. (In Russian)
4. Belyaeva L.N., Zubkova V.L., Klimov S.M. Geografiya Lipeckoj oblasti: priroda, naselenie, hozyajstvo [Geography of the Lipetsk region: nature, population, economy], Lipeckij gosudarstvennyj pedagogicheskij universitet, Lipeck, Orius Publ., 2008, 304 p. (In Russian)
5. Congedo L. Semi-Automatic Classification Plugin: A Python tool for the download and processing of remote sensing images in QGIS, Journal of Open-Source Software, 2021, vol. (64), р. 3172, DOI: 10.21105/joss.03172.
6. Grigor’eva E.A. [Comfort and human health under the climatic conditions of the urban environment], Global’nye klimaticheskie izmeneniya: regional’nye effekty, modeli, prognozy [Global climate change: regional effects, models, forecasts], materialy Mezhdunarodnoj nauchno-prakticheskoj konferencii, Voronezh, 03–05 oktyabrya 2019 goda, Voronezh, Cifrovaya poligrafiya Publ., 2019, vol. 2, р. 320–322. (In Russian)
7. Kaplan G., Avdan U., Avdan Z.Y. Urban heat island analysis using the Landsat 8 satellite data: A case study in Skopje. Macedonia, Multidisciplinary Digital Publishing Institute Proceedings, 2018, vol. 2(7), p. 358, DOI: 10.3390/ecrs-2-05171.
8. Kurolap S.A., Popova I.V., Sarychev D.V., Klepikov O.V., Vinogradov P.M. [Assessment of the technogenic air pollution and microclimatic comfort of the urban environment], Ekologicheskaya situaciya i riski dlya zdorov’ya naseleniya goroda Voronezha [Environmental situation and risks for human health in the city of Voronezh], Sbornik nauchnyh statej, Voronezh, Nauchnaya kniga Publ., 2018, р. 34–56. (In Russian)
9. Landsat 8 (L8) Data Users Handbook, USGS, EROS, Version 5.0, 2019, 114 p.
10. Mallick J., Singh C.K., Shashtri S., Rahman A., Mukherjee S. Land surface emissivity retrieval based on moisture index from LANDSAT TM satellite data over heterogeneous surfaces of Delhi city, International Journal of Applied Earth Observation and Geoinformation, 2012, vol. 19, р. 348–358, DOI: 10.1016/j.jag.2012.06.002.
11. Miky Y.H. Remote sensing analysis for surface urban heat island detection over Jeddah. Saudi Arabia, Appl. Geomat, 2019, vol. 11, р. 243–258, DOI:10.1007/s12518-019-00256-9.
12. Popova I.V., Kurolap S.A., Zakusilov V.P., Mazurov G.I. Integral’noe ekologo-mikroklimaticheskoe zonirovanie gorodskoj sredy (na primere g. Voronezha) [Integral ecological and microclimatic zoning of the urban environment (case study of Voronezh)], Estestvennye i tekhnicheskie nauki, 2018, no. 11(125), р. 277–281. (In Russian)
13. Sarychev D.V., Kurolap S.A., Popova I.V. Verification of Urban Heat Island Microclimatic Model by Using Thermal Remote Sensing Data, IOP Conf. Series: Earth and Environmental Science, 2019, vol. 272, 022085, DOI:10.1088/1755-1315/272/2/022085.
14. Sarychev D.V., Popova I.V., Kurolap S.A. Distancionnoe zondirovanie istochnikov teplovogo zagryazneniya goroda Voronezha [Remote sensing of thermal pollution sources in the city of Voronezh], Zhilischnoe hozyajstvo i kommunal’naya infrastruktura, 2021, no. 4(19), р. 54– 65, DOI 10.36622/VSTU.2021.19.4.006. (In Russian)
15. Sutyrina E.N. Izuchenie parametrov gorodskih “ostrovov tepla” na territorii Irkutskoj oblasti po dannym distancionnogo zondirovaniya [Study of the Parameters of Urban Heat Islands within the Irkutsk Region Territory According to Remote Sensing Data], Izvestiya Irkutskogo gosudarstvennogo universiteta, Seriya: Nauki o Zemle, 2020, vol. 34, р. 131–140, DOI: 10.26516/2073-3402.2020.34.131. (In Russian)
16. Weng Q. Techniques and Methods in Urban Remote Sensing, New Jersey, Wiley-IEEE Press, 2019, 353 p.
17. Weng Q., Lu D., Schubring J. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies, Remote Sensing of Environment, 2004, no. 89, р. 467–483, DOI: 10.1016/j.rse.2003.11.005.
18. Zhao Q., Guo Y., Ye T., Gasparrini A., Tong S., Overcenco A., Vicedo-Cabrera A. M. Global, regional, and national burden of mortality associated with non-optimal ambient temperatures from 2000 to 2019: a three-stage modelling study, The Lancet Planetary Health, 2021, no. 5(7), e415–e425, DOI: 10.1016/s2542-5196(21)00081-4.
19. United States Geological Survey, EarthExplorer, URL: https://earthexplorer.usgs.gov/ (accessed 20.10.2022).
Review
For citations:
Kurolap S.A., Sarychev D.V., Popova I.V. Remote sensing of heat pollution sources in the Lipetsk urban area. Lomonosov Geography Journal. 2023;(6):27-37. (In Russ.) https://doi.org/10.55959/MSU0579-9414.5.78.6.3
Views:
112
Email this article 
