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Software of geoinformation system for spatial inventory of greenhouse gas emissions

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In this paper, the advantages and disadvantages of existing software for inventory of greenhouse gas emissions have been analyzed. Necessity of creation the new specialized software for spatial inventory of greenhouse gas emissions has been proved, and the requirements for such software have been specified. A flexible architecture of specialized geographic information system (GIS), the structure and main modules of the software have been presented. The mathematical model of greenhouse gas emissions caused by using various types of fossil fuels in the residential sector has been described. Using developed specialized GIS, a case study for Zhytomyr region in Ukraine has been conducted.
Twórcy
autor
  • Department of Applied Mathematics, Lviv Polytechnic National University, Bandery str., 12, Lviv, 79031, Ukraine
autor
  • Department of Applied Mathematics, Lviv Polytechnic National University, Bandery str., 12, Lviv, 79031, Ukraine
autor
  • Department of Applied Mathematics, Lviv Polytechnic National University, Bandery str., 12, Lviv, 79031, Ukraine
Bibliografia
  • 1. Boychuk P., Boychuk Kh., Nahorski Z. and Horabik J. 2012. Spatial inventory of greenhouse gas emissions from the road transport in Poland, Econtechmod, Poland, vol. 1, n. 4, 9-16.
  • 2. Charkovska N., Bun R., Nahorski Z. and Horabik J. 2012. Mathematical modeling and spatial analysis of emission processes in polish industry sector: cement, lime and glass production, Econtechmod, Poland, vol. 1, n. 4, 17-22.
  • 3. Hamal Kh. 2008. Mathematical tools and software for spatial inventory of greenhouse gases in the transport sector, Journal of Lviv Polytechnic National University: Information Systems and Circuits, n. 621, 97-108. (in Ukrainian).
  • 4. Tokar O., Lesiv M. and Korol M. 2014. Information technology for studying carbon sink in stemwood of forest ecosystems, Econtechmod, Poland, vol. 3, n. 1, 113-120.
  • 5. Turkovska O. and Gusti M. 2013. A conceptual scheme for modeling forestry and LUC CO2 emissions in Ukraine, Econtechmod, Poland, vol. 2, n. 1, 57-62.
  • 6. Lesiv M., Bun R., Shpak N., Danylo O. and Topylko P. 2012. Spatial analysis of GHG emissions in eastern polish regions: energy production and residential sector, Econtechmod, Poland, vol. 1, n. 2, 17-24.
  • 7. Lyubinsky B. and Bun R. 2011. Specialized software for geographical analysis and inventory of greenhouse gases, Modeling and Information Technologies, Ukraine, n. 59, 129-135. (in Ukrainian).
  • 8. Lyubinsky B.B. and Bun R.A. 2011. Architecture of specialized software modules for geographical analysis of objects in inventory of greenhouse gas emissions, Artificial Intelligence, Donetsk, Ukraine, n. 4, 303-309. (in Ukrainian)
  • 9. Longley P., Goodchild M., Maguire D. and Rhind D. 2005. Exploring geographic information systems and science, John Wiley & Sons, USA, 517.
  • 10. Tribal Emissions Inventory Software Solution (TEISS). Available online at: http://www4.nau.edu/itep/air/aq_ aqtteiss.asp.
  • 11. EMIT: Emissions Inventory Tool. Available online at: http:// www.cerc.co.uk/environmental-software/EMIT-tool.html
  • 12. 2006 IPCC Guidelines for National Greenhouse Gas Inventories, Eggleston H.S., Buendia L., Miwa K., Ngara T., Tanabe K. (eds), IPCC, IGES, Japan, 2006.
  • 13. Hamal Kh. 2008. Carbon dioxide emissions inventory with GIS, Artificial Intelligence, Donetsk, Ukraine, n. 3, 55-62. (in Ukrainian).
  • 14. Hamal Kh. 2009. Geoinformation technology for spatial analysis of greenhouse gas emissions in Energy sector, Lviv Polytechnic National University, Ukraine, 246. (in Ukrainian).
  • 15. Lesiv M. 2011. Mathematical modeling and spatial analysis of greenhouse gas emissions in regions bordering Ukraine, Lviv Polytechnic National University, Ukraine, 195. (in Ukrainian).
  • 16. Yaremchyshyn O., Bun R. and Hamal Kh. 2009. The specialized geoinformation system of modelling and analysis of greenhouse gases emission in industrial sector at regional level, Artificial Intelligence, Donetsk, Ukraine, n. 3, 152-159. (in Ukrainian).
  • 17. 17. GDAL: Geospatial Data Abstraction Library. Available online at: http://www.gdal.org/.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f89237bd-015c-4dc9-84af-2585198cc142
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