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In view of COVID-19 pandemic, lockdowns were imposed in India. Travel, fishing, tourism and religious activities were halted, while domestic and industrial activities were restricted. Comparison of the pre- and post-lockdown data shows that water parameters such as turbidity, nutrient concentration and microbial levels have come down from pre- to post-lockdown period, and parameters such as dissolved oxygen levels, phytoplankton and fish densities have improved. The concentration of macroplastics has also dropped from the range of 138 ± 4.12 and 616 ± 12.48 items/100 m2 to 63 ± 3.92 and 347 ± 8.06 items/100 m2. Fish density in the reef areas has increased from 406 no. 250 m−2 to 510 no. 250 m−2. The study allows an insight into the benefits of effective enforcement of various eco-protection regulations and proper management of the marine ecosystems to revive their health for biodiversity conservation and sustainable utilization. https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://schema.org/keywords Reef fish https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://schema.org/keywords covid-19 https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://schema.org/keywords environmental health https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://schema.org/keywords plastic pollution https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://schema.org/license https://choosealicense.com/no-permission/ https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://schema.org/name COVID-19 lockdown improved the health of coastal environment and enhanced the population of reef-fish https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://schema.org/sdDatePublished 2023-01-08 19:24:00.526730+00:00 https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roterms#Paper https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://doi.org/10.1016%2Fj.marpolbul.2021.112124 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://earthobservatory.nasa.gov/images/83394/parting-the-sea-to-save-venice http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://earthobservatory.nasa.gov/images/83394/parting-the-sea-to-save-venice http://schema.org/contentUrl https://earthobservatory.nasa.gov/images/83394/parting-the-sea-to-save-venice https://earthobservatory.nasa.gov/images/83394/parting-the-sea-to-save-venice http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://earthobservatory.nasa.gov/images/83394/parting-the-sea-to-save-venice http://schema.org/dateCreated 2023-01-08 19:58:47.516622+00:00 https://earthobservatory.nasa.gov/images/83394/parting-the-sea-to-save-venice http://schema.org/dateModified 2023-02-19 13:22:55.402245+00:00 https://earthobservatory.nasa.gov/images/83394/parting-the-sea-to-save-venice http://schema.org/description The natural-color Landsat images above show some of the MOSE engineering efforts that are visible above the water line near the Lido Inlet. The top image was acquired on June 20, 2000, by the Enhanced Thematic Mapper+ on Landsat 7. The second image, from the Operational Land Imager on Landsat 8, was collected on September 4, 2013. Turn on the image comparison tool to make the changes easier to see. 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CAMS European air quality forecasts: PM25 https://reliance.adamplatform.eu/?dataset=69627:EU_CAMS_SURFACE_PM25_G http://schema.org/sdDatePublished 2023-01-08 19:42:25.690080+00:00 https://reliance.adamplatform.eu/?dataset=69627:EU_CAMS_SURFACE_PM25_G http://schema.org/startDate 2018-07-12T00:00:00Z https://reliance.adamplatform.eu/?dataset=69627:EU_CAMS_SURFACE_PM25_G http://www.opengis.net/ont/geosparql#hasGeometry https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/eb1a3994-a796-41c8-8673-80b74c6e3a81/424a95ac-8243-40ef-86c6-0e0648c7765e https://reliance.adamplatform.eu/?dataset=69627:EU_CAMS_SURFACE_PM25_G http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://reliance.adamplatform.eu/?dataset=69627:EU_CAMS_SURFACE_PM25_G http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://reliance.adamplatform.eu/?dataset=69627:EU_CAMS_SURFACE_PM25_G http://www.w3.org/1999/02/22-rdf-syntax-ns#type 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http://xmlns.com/foaf/0.1/Agent https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/contentUrl https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/dateCreated 2023-01-08 19:15:20.212877+00:00 https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/dateModified 2023-02-19 13:22:55.556680+00:00 https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/description This is a case study of snapshot project http://snapshot.cnr.it/ to investigate the lockdown impact on the water quality at a selected site in the northern Adriatic Sea, precisely in Northern Adriatic Sea, the case of the Gulf of Venice using Machine Learning model. https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/name Snapshot 2021 study case: Lockdown impacts on the Northern Adriatic Sea at selected site: AcquaAlta Platform Water quality https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://schema.org/sdDatePublished 2023-01-08 19:15:20.212877+00:00 https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/0869e396-3733-4aff-8fb2-94c8937b28aa http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/contentUrl https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/dateCreated 2023-01-08 19:14:03.311972+00:00 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/dateModified 2023-02-19 13:22:50.947789+00:00 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/description The COVID-19 pandemic has led to significant reductions in economic activity, especially during lockdowns. Several studies has shown that the concentration of nitrogen dioxyde and particulate matter levels have reduced during lockdown events. Reductions in transportation sector emissions are most likely largely responsible for the NO2 anomalies. In this study, we analyze the impact of lockdown events on the air quality using data from Copernicus Atmosphere Monitoring Service over Europe and at selected locations. https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/name Impact of the Covid-19 Lockdown on Air quality over Europe https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://schema.org/sdDatePublished 2023-01-08 19:14:03.311972+00:00 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/contentUrl https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/dateCreated 2023-01-08 19:21:48.221333+00:00 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/dateModified 2023-02-19 13:22:50.794426+00:00 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/description In order to fight against the spread of COVID-19, the most hard-hit countries in the spring of 2020 implemented different lockdown strategies. To assess the impact of the COVID-19 pandemic lockdown on air quality worldwide, Air Quality Index (AQI) data was used to estimate the change in air quality in 20 major cities on six continents. Our results show significant declines of AQI in NO2, SO2, CO, PM2.5 and PM10 in most cities, mainly due to the reduction of transportation, industry and commercial activities during lockdown. This work shows the reduction of primary pollutants, especially NO2, is mainly due to lockdown policies. However, preexisting local environmental policy regulations also contributed to declining NO2, SO2 and PM2.5 emissions, especially in Asian countries. In addition, higher rainfall during the lockdown period could cause decline of PM2.5, especially in Johannesburg. By contrast, the changes of AQI in ground-level O3 were not significant in most of cities, as meteorological variability and ratio of VOC/NOx are key factors in ground-level O3 formation. https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/name Impact of the COVID-19 Pandemic Lockdown on Air Quality Pollution in 20 Major cities around the World https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://schema.org/sdDatePublished 2023-01-08 19:21:48.221333+00:00 https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/roterms#Paper https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/53aa90bf-c593-4e6d-923f-d4711ac4b0e1/resources/2a2b6f01-be2e-414e-af08-d882aa995a71 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/998dccd6-7192-4d88-af39-6018c71e6bdf http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/author https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/contentUrl https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/creator https://orcid.org/0000-0002-1784-2920 https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/dateCreated 2023-01-08 19:19:35.675216+00:00 https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/dateModified 2023-02-19 13:22:48.215320+00:00 https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/description Integration of data on Air and Water quality in the Venice Lagoon to assess the impact of the Covid-19 Lockdown https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/license https://choosealicense.com/no-permission/ https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/name Impact of the Covid-19 Lockdown on Air and Water quality in the Venice Lagoon https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://schema.org/sdDatePublished 2023-01-08 19:19:35.675216+00:00 https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/ro#ResearchObject https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/wf4ever/wf4ever#Resource https://w3id.org/ro-id/c2c64bf9-7625-4442-9ca9-dcd978b1d38b http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://schema.org/MediaObject https://w3id.org/ro-id/communities/3f5b49d5-6f99-4ddb-88ac-4b662e8edd90 http://schema.org/description The main interest is upon marine litter pollution and in particular ranging from marco to mirco and nano size. In encompasses data from citizen science monitoring and sampling activities in cooperation with research-educational institute and centers. https://w3id.org/ro-id/communities/3f5b49d5-6f99-4ddb-88ac-4b662e8edd90 http://schema.org/email segreteria@plasticfreevenice.org https://w3id.org/ro-id/communities/3f5b49d5-6f99-4ddb-88ac-4b662e8edd90 http://schema.org/name Marine Litter and plastics pollution https://w3id.org/ro-id/communities/3f5b49d5-6f99-4ddb-88ac-4b662e8edd90 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://w3id.org/ro-id/rohub/model#community https://w3id.org/ro-id/communities/8dbdc420-0063-452d-ada6-2679c3137cd9 http://schema.org/description NICEST-2 - the second phase of the Nordic Collaboration on e-Infrastructures for Earth System Modeling focuses on strengthening the Nordic position within climate modeling by leveraging, reinforcing and complementing ongoing initiatives. https://w3id.org/ro-id/communities/8dbdc420-0063-452d-ada6-2679c3137cd9 http://schema.org/name 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https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/dateCreated 2023-01-08 18:47:51.996769+00:00 https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/dateModified 2024-03-05 12:17:16.953752+00:00 https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/datePublished 2023-01-08 18:47:51.996769+00:00 https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/description In this study, we focusing on understanding changes in air and water quality during the Covid-19 lockdown in the Venice Lagoon. We are re-using existing Research Objects, and in particular Jupyter Notebooks that were created in previous studies. https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/encodingFormat application/ld+json https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/hasPart https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/folders/0d2f7b62-afd3-4141-8c98-4f1c93509ed9 https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/hasPart https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/folders/17442676-35b3-444f-be2f-cd8b68766cee https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/hasPart https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/folders/33481422-5142-412f-89bb-9fb00e8195eb https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/ http://schema.org/hasPart https://w3id.org/ro-id/eec6faaa-e133-47d4-b377-44f7d06a9654/folders/b6e07b3f-f3b3-42ec-879e-eceeffad9f2b 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and Simone Mantovani. "Changes in air and water quality during the Covid-19 Lockdown in the Venice Lagoon." ROHub. 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45.36202199682951 https://w3id.org/ro-id/enrichment/d20007bf-a74f-4640-bf24-ed7de2981e5b https://w3id.org/ro/terms/earth-science#score 0.8256614208221436 https://w3id.org/ro-id/enrichment/d303c2b8-5b82-4ffb-8c95-2ec7100050ee http://schema.org/name Madrid Spain Mar May TotalOutdoorphysicalexercise https://w3id.org/ro-id/enrichment/d303c2b8-5b82-4ffb-8c95-2ec7100050ee http://www.w3.org/1999/02/22-rdf-syntax-ns#type https://w3id.org/ro/terms/earth-science#Phrase https://w3id.org/ro-id/enrichment/d303c2b8-5b82-4ffb-8c95-2ec7100050ee https://w3id.org/ro/terms/earth-science#normScore 3.576158940397351 https://w3id.org/ro-id/enrichment/d303c2b8-5b82-4ffb-8c95-2ec7100050ee https://w3id.org/ro/terms/earth-science#score 5.4 https://w3id.org/ro-id/enrichment/d3200d64-4420-47b5-90fa-ed06c99f6e7b http://schema.org/name In this study, we focusing on understanding changes in air and water quality during the Covid-19 lockdown in the Venice Lagoon. 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