{"id":1219,"date":"2021-01-02T01:05:15","date_gmt":"2021-01-02T01:05:15","guid":{"rendered":"https:\/\/smartdatamodels.org\/?p=1219"},"modified":"2021-01-08T15:25:57","modified_gmt":"2021-01-08T15:25:57","slug":"new_data_model_for_environment_phreatic_observed","status":"publish","type":"post","link":"https:\/\/smartdatamodels.org\/index.php\/new_data_model_for_environment_phreatic_observed\/","title":{"rendered":"New data model for Environment. Phreatic Observed"},"content":{"rendered":"

There is a new data model\u00a0PhreaticObserved<\/a> is intended to measure, observe and control the level and quality of groundwater at a given time (T), by a fixed or mobile monitoring system. Depending on the device used, it is also possible to measure the quality of water such as its electrical conductivity, its salt content, its temperature, etc. In this case, the values measured are processed by the Data Model `WaterObserved` and `WaterQualityObserved`. Additional Information about Attributes: For attributes dedicated to water, a MetaData attribute can also be used. it contains the `TimeStamp` in seconds, the `qualification` and control `status` of the measurement”.
\n<\/strong><\/p>\n

Located in the Environment Subject<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

There is a new data model\u00a0PhreaticObserved is intended to measure, observe and control the level and quality of groundwater at a given time (T), by a fixed or mobile monitoring system. Depending on the device used, it is also possible to measure the quality of water such as its electrical… More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","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":[48,113],"tags":[],"class_list":["post-1219","post","type-post","status-publish","format-standard","hentry","category-environment","category-smart-environment"],"jetpack_publicize_connections":[],"jetpack_sharing_enabled":true,"jetpack-related-posts":[{"id":1245,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-in-environment-rainfallradarobservation\/","url_meta":{"origin":1219,"position":0},"title":"New data model in Environment. RainFallRadarObservation","author":"maestro","date":"04\/01\/2021","format":false,"excerpt":"There is a new data model RainFallRadarObservation. The Data Model is intended to measure the water slides on a predefined area by a set of 4 Location represented by a Geo property format. Located in the Environment Subject.","rel":"","context":"In "Environment"","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/environment\/"},"img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":1454,"url":"https:\/\/smartdatamodels.org\/index.php\/smart-water-and-smart-environment-updated-waterqualityobserved-in-water-quality-repository\/","url_meta":{"origin":1219,"position":1},"title":"Smart water and Smart Environment: Updated WaterQualityObserved in water quality repository","author":"maestro","date":"26\/01\/2021","format":false,"excerpt":"The data model WaterQualityObserved has been expanded to include 3 new properties: BOD: Biochemical oxygen demand (BOD) is the amount of dissolved oxygen (DO) needed (i.e. demanded) by aerobic biological organisms to break down organic material present in a given water sample at certain temperature over a specific time period\u2026","rel":"","context":"In "Environment"","block_context":{"text":"Environment","link":"https:\/\/smartdatamodels.org\/index.php\/category\/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":1219,"position":2},"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 "Smart Environment domain"","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":480,"url":"https:\/\/smartdatamodels.org\/index.php\/updated-the-attributes-search-data-base\/","url_meta":{"origin":1219,"position":3},"title":"Updated the attributes search data base","author":"maestro","date":"25\/06\/2020","format":false,"excerpt":"In order to create a new data model is always interesting what others have done in order copy and to maintain interoperability. That's why we have available a database with all attributes and enumerations across all data models. Now it's updated daily and the number of occurrences is also available.","rel":"","context":"In "Cross Sector"","block_context":{"text":"Cross Sector","link":"https:\/\/smartdatamodels.org\/index.php\/category\/cross-sector\/"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/data-models.fiware.org\/wp-content\/uploads\/2020\/06\/bbdd_attributes-1024x333.png?resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/data-models.fiware.org\/wp-content\/uploads\/2020\/06\/bbdd_attributes-1024x333.png?resize=350%2C200 1x, https:\/\/i0.wp.com\/data-models.fiware.org\/wp-content\/uploads\/2020\/06\/bbdd_attributes-1024x333.png?resize=525%2C300 1.5x, https:\/\/i0.wp.com\/data-models.fiware.org\/wp-content\/uploads\/2020\/06\/bbdd_attributes-1024x333.png?resize=700%2C400 2x"},"classes":[]},{"id":3403,"url":"https:\/\/smartdatamodels.org\/index.php\/new-data-model-environmentobserved-in-environment-subject\/","url_meta":{"origin":1219,"position":4},"title":"New Data Model EnvironmentObserved in environment Subject","author":"maestro","date":"26\/11\/2021","format":false,"excerpt":"There is a new data model in the subject dataModel.Environment, EnvironmentObserved. EnvironmentObserved. This entity contains a harmonized description of the environmental conditions observed at a particular location and time. This entity is primarily associated with the vertical segment of the environment and agriculture but may also be used in smart\u2026","rel":"","context":"In "Smart Environment domain"","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":1219,"position":5},"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 "Smart Environment domain"","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\/1219","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=1219"}],"version-history":[{"count":4,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1219\/revisions"}],"predecessor-version":[{"id":1265,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/posts\/1219\/revisions\/1265"}],"wp:attachment":[{"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/media?parent=1219"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/categories?post=1219"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/smartdatamodels.org\/index.php\/wp-json\/wp\/v2\/tags?post=1219"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}