{"id":47847,"date":"2022-05-20T11:43:33","date_gmt":"2022-05-20T09:43:33","guid":{"rendered":"https:\/\/nilu.gnist.dev\/?p=47847"},"modified":"2022-05-20T11:43:33","modified_gmt":"2022-05-20T09:43:33","slug":"mapping-norwegian-emissions","status":"publish","type":"post","link":"https:\/\/nilu.gnist.dev\/en\/2022\/05\/mapping-norwegian-emissions\/","title":{"rendered":"Mapping Norwegian emissions"},"content":{"rendered":"

When you open the portal \u201cEMISYS \u2013 Emission Modelling System<\/a>\u201d, the first thing you see is a map of the area around Oslo. You can navigate around the country, and by zooming in and out you will see different types of emissions. What kind of emissions you see can be selected in the menu at the bottom of the screen.<\/p>\n

By zooming in you will see the high-resolution local emissions from road traffic, wood burning, and machines used in building and construction. When you zoom out, these emissions change to municipality level. If you zoom out even more, you can visualize first emissions from domestic aviation, and then emissions from international aviation. The darker the grids or lines you see, the higher the emissions they indicate.<\/p>\n

Shows the relevance of high-resolution emissions<\/h2>\n

\u2013 We were inspired to make this emission mapping by a research group in Finland, explains senior scientist Susana Lopez-Aparicio. \u2013 We wanted a place where we could collect the emission results from the models that we develop and make them visually available on the internet. Emissions does not have to be displayed only as graphs. When emissions show up on a map, they become more relevant for the municipalities and the general public \u2013 you can see both where they occur and what they are due to.<\/p>\n

The visualization as a map is based on different models that they two scientists have been working on over several years: models to estimate emissions from wood burning, traffic, construction machinery and aviation.<\/p>\n

\u2013 At some point we would also like to add more data. Our dream is to further develop the platform to show emissions in real-time, says Lopez-Aparicio. \u2013 The more data we add, the more comprehensive the picture of our emissions to the atmosphere will become.<\/p>\n

Emissions from Norwegian tourism<\/h2>\n

The \u201cflight routes\u201d on the map show both domestic and international aviation routes. Some of them are considerable darker than others.<\/p>\n

\u2013 The highest emissions are from flight routes to Spain, Thailand and Greece, explains scientist Henrik Grythe. \u2013 We Norwegians go abroad a lot, more than others travel to Norway.<\/p>\n

He continues to explain that 90% of the total emissions between Norway and Greece are associated with Norwegian travellers. Greeks travel much less to Norway than the other way around. The same applies to Norway and Thailand, and Norway \u2013 Spain.<\/p>\n

The data in the platform have been produced in several projects that NILU has carried out for others such as the Norwegian Environment Agency and Innovation Norway. Their colleague Dam Thanh Vo did the GIS visualization.<\/p>\n

\u2013 We have not added emission data that are available from other sources, such as shipping emissions from the Norwegian Coastal Administration. We have focussed on data that we produced by ourselves, says Lopez-Aparicio.<\/p>\n

Wanted: additional collaboration<\/h2>\n

Grythe further comments that what we see on the map now is pure emission data. However, there is a lot of other publicly available background information that may be interesting to link to the emissions. Examples of this can be number and types of dwellings, buildings or construction projects in a specific area, socio-economic data, population density, energy sources for heating, and vehicles or road properties. This may be relevant to use in different types of projects, but often require some effort to obtain and familiarize yourself with or produce yourself. Lopez-Aparicio and Grythe hope that the visualization can work as an invitation to other researchers who work with emission-related issues.<\/p>\n

\u2013 If other researchers would like to use emission data that we have or have data that can be included in our models, feel free to contact us, says Lopez-Aparicio. \u2013 We can assist with both data use and retrieval, as well as supporting the interpretation and compilation of additional data.<\/p>\n

\"EMISYS-plattformen
The figure shows how the emission map changes when we zoom in and out: Highest resolution emissions from local sources (top), emissions at municipality level (middle) and emissions from international aviation (bottom). Figure: NILU<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"

When you open the portal \u201cEMISYS \u2013 Emission Modelling System\u201d, the first thing you see is a map of the area around Oslo. You can navigate around the country, and by zooming in and out you will see different types of emissions. What kind of emissions you see can be selected in the menu at […]<\/p>\n","protected":false},"author":3,"featured_media":47841,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":"","footnotes":""},"categories":[21],"tags":[],"class_list":["post-47847","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-newsarchive"],"acf":[],"_links":{"self":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/posts\/47847","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/comments?post=47847"}],"version-history":[{"count":5,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/posts\/47847\/revisions"}],"predecessor-version":[{"id":47852,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/posts\/47847\/revisions\/47852"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/media\/47841"}],"wp:attachment":[{"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/media?parent=47847"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/categories?post=47847"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nilu.gnist.dev\/en\/wp-json\/wp\/v2\/tags?post=47847"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}