DOI: 10.1007/s10584-013-1040-9
Scopus记录号: 2-s2.0-84902241671
论文题名: Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty
作者: Boychuk K. ; Bun R.
刊名: Climatic Change
ISSN: 0165-0009
EISSN: 1573-1480
出版年: 2014
卷: 124, 期: 3 起始页码: 561
结束页码: 574
语种: 英语
Scopus关键词: Carbon dioxide
; Emission control
; Estimation
; Industrial emissions
; Uncertainty analysis
; Additional knowledge
; Emission coefficient
; Improvement of methods
; Monte Carlo approach
; National inventory report
; Relative uncertainty
; Spatial emission inventory
; Technological process
; Greenhouse gases
; carbon dioxide
; digital mapping
; emission control
; emission inventory
; energy efficiency
; fuel consumption
; GIS
; greenhouse gas
; methane
; nitrous oxide
; pollutant source
; spatial analysis
; territory
; Ukraine
英文摘要: An improvement of methods for the inventory of greenhouse gas (GHG) emissions is necessary to ensure effective control of commitments to emission reduction. The national inventory reports play an important role, but do not reflect specifics of regional processes of GHG emission and absorption for large-area countries. In this article, a GIS approach for the spatial inventory of GHG emissions in the energy sector, based on IPCC guidelines, official statistics on fuel consumption, and digital maps of the region under investigation, is presented. We include mathematical background for the spatial emission inventory of point, line and area sources, caused by fossil-fuel use for power and heat production, the residential sector, industrial and agricultural sectors, and transport. Methods for the spatial estimation of emissions from stationary and mobile sources, taking into account the specifics of fuel used and technological processes, are described. Using the developed GIS technology, the territorial distribution of GHG emissions, at the level of elementary grid cells 2 km × 2 km for the territory of Western Ukraine, is obtained. Results of the spatial analysis are presented in the form of a geo-referenced database of emissions, and visualized as layers of digital maps. Uncertainty of inventory results is calculated using the Monte Carlo approach, and the sensitivity analysis results are described. The results achieved demonstrated that the relative uncertainties of emission estimates, for CO2 and for total emissions (in CO2 equivalent), depend largely on uncertainty in the statistical data and on uncertainty in fuels' calorific values. The uncertainty of total emissions stays almost constant with the change of uncertainty of N2O emission coefficients, and correlates strongly with an improvement in knowledge about CH4 emission processes. The presented approach provides an opportunity to create a spatial cadastre of emissions, and to use this additional knowledge for the analysis and reduction of uncertainty. It enables us to identify territories with the highest emissions, and estimate an influence of uncertainty of the large emission sources on the uncertainty of total emissions. Ascribing emissions to the places where they actually occur helps to improve the inventory process and to reduce the overall uncertainty. © 2014 Springer Science+Business Media Dordrecht. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/84956
Appears in Collections: 气候减缓与适应 气候变化事实与影响
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作者单位: Lviv Polytechnic National University, Bandery str., 12, Lviv, 79013, Ukraine; Academy of Business, Cieplaka str., 1c, Dabrowa Górnicza, 42300, Poland
Recommended Citation:
Boychuk K.,Bun R.. Regional spatial inventories (cadastres) of GHG emissions in the Energy sector: Accounting for uncertainty[J]. Climatic Change,2014-01-01,124(3)