A spatially allocated emissions inventory for CyprusView Crossref metadata(active tab) <div id="edit-xml" class="form-item form-type-item"> <?xml version="1.0"?> <doi_batch version="4.4.1" xmlns="http://www.crossref.org/schema/4.4.1" xmlns:jats="http://www.ncbi.nlm.nih.gov/JATS1" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.crossref.org/schema/4.4.1 http://www.crossref.org/schemas/crossref4.4.1.xsd"><head><doi_batch_id>000689</doi_batch_id><timestamp>1713457296</timestamp><depositor><depositor_name>University of the Aegean</depositor_name><email_address>uoa@university.com</email_address></depositor><registrant>Global NEST Journal</registrant></head><body><journal><journal_metadata><full_title>Global NEST Journal</full_title><full_title>Global NEST: the international Journal</full_title><issn media_type="print">1790-7632</issn><issn media_type="electronic">2241-777X</issn></journal_metadata><journal_issue><titles><title>Issue 1</title></titles><publication_date><month>03</month><year>2024</year></publication_date><journal_volume><volume>12</volume></journal_volume><issue>1</issue></journal_issue><journal_article><titles><title>A spatially allocated emissions inventory for Cyprus</title></titles><abstract xmlns="http://www.ncbi.nlm.nih.gov/JATS1"><p>In this paper, a detailed spatial allocated emissions inventory for Cyprus is presented. Topdown and bottom-up methodologies are implemented and emissions are estimated from all anthropogenic sources for the reference year 2002 with the aid of state-of-the-art algorithms. Emission factors representative for the situation in Cyprus, in the case of major industrial units, and default emission factors for the rest emission sources are adopted. Main results indicate that power generation and road transport are the major contributors to total emissions. Power generation share was 36% in total CO2, 62% in total SΟ2, 20% in total NOx and 55% in total Ν2Ο emissions, while the share of road transport was 29% in CO2, 22% in SΟ2, 35% in NOx and 6% in Ν2Ο emissions. Furthermore, comparisons to other existing emission inventories for Cyprus and official national emission data are presented and differences are partially explained. A GIS-based approach is applied to generate, organize and spatially allocate emissions data in a 5x5 km² grid. GIS-aided spatial overlay techniques are used and maps of spatial allocation factors and gridded emissions data are produced and presented, showing that highest emission densities appear in cells, which include large industrial plants and/or cover urban areas.</p></abstract><publication_date><month>04</month><day>30</day><year>2013</year></publication_date><pages><first_page>99</first_page><last_page>107</last_page></pages><publisher_item><identifier id_type="pii">682</identifier></publisher_item><doi_data><doi>10.30955/gnj.000682</doi><timestamp>1713457296</timestamp><resource>https://journal.gnest.org/publication/682</resource></doi_data></journal_article></journal></body></doi_batch> </div>
