{"id":6280,"date":"2022-07-05T16:05:18","date_gmt":"2022-07-05T14:05:18","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=6280"},"modified":"2022-07-05T16:05:18","modified_gmt":"2022-07-05T14:05:18","slug":"noise-pollution-data-model-and-airqualityforecast-published-at-environment-subject","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/noise-pollution-data-model-and-airqualityforecast-published-at-environment-subject\/","title":{"rendered":"Noise pollution data model and AirQualityForecast published at Environment subject"},"content":{"rendered":"<p>The <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/tree\/master\/NoisePollution\">Noise Pollution<\/a> data model and the <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\/tree\/master\/AirQualityForecast\">AirQualityForecast<\/a> have been published on the <a href=\"https:\/\/github.com\/smart-data-models\/dataModel.Environment\">Environment subject<\/a>. The first one merges specific and punctual noise measurements (coming, e.g. from NoiseLevelObservation entities) into average parameters referred to city areas, providing more city-related data about noise pollution status and evolution. The second one helps to store the forecast about the quality of air for a specific period.<\/p>\n<p><a title=\"Arpingstone, Public domain, via Wikimedia Commons\" href=\"https:\/\/commons.wikimedia.org\/wiki\/File:Qantas_b747_over_houses_arp.jpg\"><img decoding=\"async\" src=\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/thumb\/3\/3c\/Qantas_b747_over_houses_arp.jpg\/512px-Qantas_b747_over_houses_arp.jpg\" alt=\"Qantas b747 over houses arp\" width=\"512\" \/><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Noise Pollution data model and the AirQualityForecast have been published on the Environment subject. The first one merges specific and punctual noise measurements (coming, e.g. from NoiseLevelObservation entities) into average parameters referred to city areas, providing more city-related data about noise pollution status and evolution. The second one helps&#8230; <a class=\"continue-reading-link\" href=\"https:\/\/smartdatamodels.org\/index.php\/noise-pollution-data-model-and-airqualityforecast-published-at-environment-subject\/\">More&#8230;<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[113],"tags":[],"class_list":["post-6280","post","type-post","status-publish","format-standard","hentry","category-smart-environment"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":6780,"url":"https:\/\/smartdatamodels.org\/index.php\/3-new-data-models-for-environment-and-mobility\/","url_meta":{"origin":6280,"position":0},"title":"3 new data models for environment (and mobility)","author":"maestro","date":"26\/08\/2022","format":false,"excerpt":"There are 3 new data models coming from the collaboration with the GreenMov project. They are located at the Environment subject. NoisePollutionForecast. Noise Pollution forecast stores the expectation about noise pollution based on some input elements and the noise elements present. TrafficEnvironmentImpact. Environmental Impact of traffic based on the vehicles\u2026","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/smartdatamodels.org\/wp-content\/uploads\/2022\/08\/logo_GreenMov-300x95-1.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":19840,"url":"https:\/\/smartdatamodels.org\/index.php\/carbonfootprint-published-at-environment-subject\/","url_meta":{"origin":6280,"position":1},"title":"CarbonFootprint published at Environment subject","author":"maestro","date":"24\/06\/2025","format":false,"excerpt":"There is a new data model in the subject of Environment, CarbonFootprint CarbonFootprint. Data model to represent the carbon footprint in CO2 equivalents. ;","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":2127,"url":"https:\/\/smartdatamodels.org\/index.php\/new-subject-forestry-and-new-data-model-fireforeststatus\/","url_meta":{"origin":6280,"position":2},"title":"New Subject Forestry and new data model FireForestStatus","author":"maestro","date":"21\/04\/2021","format":false,"excerpt":"A new subject has been created dataModel.Forestry 1 new data model is being published in the dataModel.Forestry FireForestStatus. This entity describes the possible presence of smoke and\/or fire in a forest.","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":9246,"url":"https:\/\/smartdatamodels.org\/index.php\/nigthskyquality-data-model-at-environment-subject\/","url_meta":{"origin":6280,"position":3},"title":"NigthSkyQuality data Model at Environment subject","author":"maestro","date":"17\/07\/2023","format":false,"excerpt":"New data model at Environment subject, Night Sky Quality NightSkyQuality. Data regarding the observed sky quality and the status of the measuring device.","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":7477,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-mosquitodensity-at-environment-subject\/","url_meta":{"origin":6280,"position":4},"title":"New data model MosquitoDensity at Environment Subject","author":"maestro","date":"31\/10\/2022","format":false,"excerpt":"There is a new data model coming from the collaboration with IUDX, MosquitoDensity, to assess the density of this insect in the cities, located in the subject Environment. A Data Model for density of mosquitoes in cities.","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1885,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-floodmonitoring-at-environment-subject\/","url_meta":{"origin":6280,"position":5},"title":"New data model FloodMonitoring at Environment Subject","author":"maestro","date":"10\/03\/2021","format":false,"excerpt":"A new data model, FloodMonitoring, in the Environment Subject\u00a0 from IUDX initiative is available: FloodMonitoring: Flood Sensor Data Model intended to represent the level of flooding w.r.t water flow\/level at a certain water mass (river, lake, etc.).","rel":"","context":"In &quot;Smart Environment domain&quot;","block_context":{"text":"Smart Environment domain","link":"https:\/\/smartdatamodels.org\/index.php\/category\/smart-environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6280","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/comments?post=6280"}],"version-history":[{"count":2,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6280\/revisions"}],"predecessor-version":[{"id":6298,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/6280\/revisions\/6298"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=6280"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=6280"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=6280"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}