Purpose. To develop of approaches for spatial inventory of greenhouse gas emissions in the residential sector at the level of elementary objects to form datasets of geospatial distribution of emissions, and to analyze on this base the differences in emission structure for the territories of the Western Ukraine and South-Eastern Poland. Methodology. The main sources of greenhouse gas emissions in the residential sector are analyzed. The approach for assessment of energy demand of the households is developed. The results of the assessment are used for disaggregation of fossil fuels, burned in the residential sector, from regional level to the level of elementary objects. The geospatial datasets of greenhouse gas emission distribution is constructed for Western Ukraine and South-Eastern Poland using the tools of GIS software developed approaches and IPCC guidelines. The total results are obtained in the form of regular Grid-model with the resolution of 2 km. Results. Based on constructed geospatial datasets of emission distribution in the residential sector, and comparison of the results obtained for Poland and Ukraine, it was identified that the main energy source to meet the household needs in Poland is coal, and in Ukraine – natural gas. Greenhouse gas emissions per capita in the residential sector in South-Eastern Poland were 1,39 t in СО2-equivalent in 2010, in Western Ukraine – 0,98 t, as the carbon dioxide, methane and nitrous oxide emission coefficients for coal (the main energy source in Poland) are much higher than corresponding coefficients for natural gas. Originality. Based on elaborated mathematical model of emission processes in the residential sector, and conducted numerical experiments the digital maps and geospatial datasets with data about emission sources and greenhouse gas emissions of carbon dioxide, methane, and nitrous oxide are obtained. Practical significance. The developed approach for geospatial modeling of greenhouse gas emissions enables to assess the potential of certain regions to reduce emissions and to support the effective decision making concerning implementation of low-carbon technologies.
1. Hamal Kh. V. Tehlivets V. Prostorova inventaryzatsiia parnykovykh haziv u zhytlovomu sektori Volynskoi oblasti [Spatial inventory of greenhouse gas emissions in the residential sector of Volyn region], Materialy III Mizhnar. konf. molodykh vchenykh "Kompiuterni nauky ta inzheneriia" (CSE-2009) [Proceedings of the Third International Scientific Conference "Information Technologies and Computer Engineering"], Lviv, NU "LP", 2009, pp. 197–200.
2. Hamal Kh. V. Pylypchak O. I. Razrabotka pohoda k modelirovaniju prostranstvennogo raspredelenija emissij parnikovyh gazov na primere ih inventarizacii v zhilishhnom sektore Zakarpatskoj oblasti Ukrainy, Iskusstvennyj intellekt, 2010, n. 4, pp. 342–349.
3. Danylo O., Lesiv M. Heoinformatsiina tekhnolohiia prostorovoi inventaryzatsii parnykovykh haziv v zhytlovomu sektori Skhidnoi Polshchi [Geoinformation technologies of spatial inventory of greenhouse gases in the residential sector of Southern Poland], Suchasni dosiahnennia heodezychnoi nauky ta vyrobnytstva [Advances in Geodetic Science and Industry], Lviv, 2012, n. 23, pp. 216–219.
4. Danylo O. Ya., Bun R. A. Tsyfrova karta naselennia Ukrainy adaptovana dlia provedennia prostorovoi inventaryzatsii parnykovykh haziv [Population map for Ukraine adapted for spatial inventory of greenhouse gas emissions], Tezy dop. Tretoi Mizhnar. nauk.-prakt. konf. "Informatsiini tekhnolohii ta kompiuterna inzheneriia" [Proceedings of the Third International Scientific Conference "Information Technologies and Computer Engineering"], Vinnytsia, VNTU, 2012, pp. 87–88.
5. Lesiv M. Yu. Matematychne modeliuvannia ta prostorovyi analiz emisii parnykovykh haziv u prykordonnykh rehionakh Ukrainy [Mathematical modeling and spatial analysis of greenhouse gas emissions in regions bordering Ukraine] : dys. kand. tekhn. nauk [PhD thesis]: 01.05.02, Lviv, NU «LP», 2011, 195 p.
6. Palyvno-enerhetychni resursy Lvivshchyny: Statystychnyi zbirnyk [Fuel and energy resources Lviv: Statistical Yearbook], Lviv, Holovne upravlinnia statystyky u Lvivskii oblasti [Main Statistical Department in Lviv region], 2011, 78 p.
7. Balarasa C. A., Gagliaa A. G., Georgopouloub E., Mirasgedisb S., Sarafidisb Y., Lalasb D.P. European residential buildings and empirical assessment of the Hellenic building stock, energy consumption, emissions and potential energy savings, Building and Environment, vol. 42, is. 3, 2007, pp. 1298–1314.
8. Buń R., Gusti M. Technologie informacyjne inwentaryzacji gazów cieplarnianych z wykorzystaniem georozpro¬szonych baz danych, Nowe Technologie w Komputerowych Systemach Zarządzania, Warszawa, Wydawnictwo Komunikacji i Łączności, 2005, pp. 37–43.
9. Department of Statistics in Poland [Online resource], Available at: http://www.stat.gov.pl
10. Gallego F. J. A population density grid of the European Union, Population and Environment, vol. 31, 2010, pp. 460–473.
11. Ghosh T., Elvidge C. D., Sutton P. C., Baugh K. E., Ziskin D., Tuttle B. T. Creating a global grid of distributed fossil fuel CO2 emissions from nighttime satellite imagery, Energies, vol. 3, 2010, pp. 1895–1913.
12. Haylock M. R., Hofstra N., Klein Tank A. M., et al. A European daily high-resolution gridded data set of surface temperature and precipitation for 1950–2006, Journal of Geophysical Research: Atmospheres,– 2008, vol. 113, is. D20, 12 p.
13. IPCC Guidelines for National GHG Inventories, H. S.Eggleston, L.Buendia, K.Miwa, eds., IPCC, Institute for Global Environmental Strategies, Hayama, Kanagawa, Japan, 2006.
14. Lesiv M., Bun R., Shpak N., Danylo O., Topylko P. Spatial analysis of GHG emissions in eastern polish regions: energy production and residential sector, Econtechmod, 2012, vol. 1, n. 2, pp. 17–23.
15. National Inventory Submissions: 2003-2012 [Online resource], Available at: http://unfccc.int / national_reports / annex_i_ghg_ inventories / national_ inventories_ submissions /items/6598.php
16. Oda T., Maksyutov S. A very high-resolution global fossil fuel CO2 emission inventory derived using a point source database and satellite observations of nighttime lights 1980–2007, Atmospheric Chemistry and Physics Discussion, 2011, vol. 11, pp. 543–556.
17. Schellnhuber J. S., Cramer W., Nakicenovic N., Wigley T.M.L., Yohe G. Avoiding Dangerous Climate Change, Cambridge Univ. Press, 2006, 408 p.