High-resolution spatial distribution of greenhouse gas emissions in the residential sector

• DOI: 10.1007/s11027-019-9846-z
• Publication Date: 2019-03-25T12:03:14Z
• Authors: Olha Danylo; Rostyslav Bun; Linda See; Nadiia Charkovska
• Keywords: Human settlement; Proxy (statistics); Consumption

The development of high-resolution greenhouse gas (GHG) inventories is an important step towards emission reduction in different sectors. However, most the spatially explicit approaches that have been developed to date produce outputs at a coarse resolution or do not disaggregate data by sector. In this study, we present methodology for assessing GHG emissions from residential sector settlements fine spatial resolution. many countries, statistical about fossil fuel consumption only available regional country levels. For reason, assess energy demand cooking and water space heating each settlement, which use as proxy data. As depends heavily on climatic conditions, degree day method account phenomenon. We also take availability sources differences patterns between urban rural areas into account. Based disaggregated data, settlement level using specific coefficients Poland Ukraine, two neighboring countries with usage patterns. addition, estimate uncertainties results Monte Carlo method, takes calorific values, factors detailed natural biomass several regions Ukraine validate our approach. compare EDGAR (Emissions Database Global Atmospheric Research), shows high agreement places but demonstrates advantage higher inventory. Overall, show approach here universal can be applied other their information.