Matches in Nanopublications for { ?s ?p ?o <https://w3id.org/np/RA-X_FJx_ToXIds5hVy1NIHfpc7At10sCbYjWb2NIdENU/assertion>. }
- faba5f21-c10a-489a-a430-3478961c221a name "Brazil" assertion.
- fea4454b-67d9-4a24-ba64-880eb109816a name "South Africa" assertion.
- ffecab80-1d67-4400-b04d-0e7178620a09 name "documentation and information science" assertion.
- 10.1016%2Fj.marpolbul.2021.112124 name "COVID-19 lockdown improved the health of coastal environment and enhanced the population of reef-fish" assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc name "NO2 CAMS over Europe March-June 2019, 2020 and 2021" assertion.
- content name "PTF dataset(2009-2020) Piattaforma acqua allta" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G name "CAMS European air quality forecasts: NO2" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G name "CAMS European air quality forecasts: O3" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G name "CAMS European air quality forecasts: PM25" assertion.
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- 0000-0002-1784-2920 email "annef@simula.no" assertion.
- 00vn06n10 email "post@simula.no" assertion.
- 0000-0002-8763-1643 email "jeani@uio.no" assertion.
- 0000-0001-6084-1504 email "giorgio.castellan@bo.ismar.cnr.it" assertion.
- 0000-0003-0745-4155 email "malek.belgacem@ve.ismar.cnr.it" assertion.
- 0000-0002-2736-0052 email "federica.foglini@ismar.cnr.it" assertion.
- mailto:mantovani@meeo.it email "mantovani@meeo.it" assertion.
- 0000-0002-1784-2920 affiliation "Simula Research Laboratory" assertion.
- 0000-0003-0745-4155 affiliation "CNR-ISMAR" assertion.
- parting-the-sea-to-save-venice author 0000-0002-1784-2920 assertion.
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- content author 0000-0002-1784-2920 assertion.
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- 2919 description "" assertion.
- 3949 description "" assertion.
- 3952 description "" assertion.
- parting-the-sea-to-save-venice 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. (Note that Landsat 8 has a greater dynamic range than Landsat 7, so the Landsat 8 image is crisper the Landsat 7 image.)" assertion.
- 0869e396-3733-4aff-8fb2-94c8937b28aa 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." assertion.
- 53aa90bf-c593-4e6d-923f-d4711ac4b0e1 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." assertion.
- 2a2b6f01-be2e-414e-af08-d882aa995a71 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." assertion.
- 998dccd6-7192-4d88-af39-6018c71e6bdf 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." assertion.
- 084b7991-70e0-48c1-af37-5bf6e1e21196 description "## Description Jupyter Notebook to analyse the changes in NO2 during the Covid-19 Lockdown in the Venice Lagoon. Datasets are from Copernicus Atmosphere Monitoring Forecasts and in-situ measurement for water quality." assertion.
- 49c08d71-ef52-4ae1-9ddb-cd43bc204d84 description "Dataset shows monthly values and error bars." assertion.
- 885820ec-21c6-4045-96cd-716e2ae42102 description "Compare air quality and water quality in the Venice Lagoon for two different dates." assertion.
- 9777f9c8-388f-49e7-b027-a1dc933c2398 description "Bar plot showing NO2 averaged between March and June for 2019 and 2020. The goal is to compare values before and during the covid-19 lockdown." assertion.
- da17f3c5-cc88-46fe-bd6e-3e7c278f8df0 description "The goal is to compare values of NO2 water quality before and during the covid-19 lockdown." assertion.
- c2c64bf9-7625-4442-9ca9-dcd978b1d38b description "Integration of data on Air and Water quality in the Venice Lagoon to assess the impact of the Covid-19 Lockdown" assertion.
- 10.1016%2Fj.marpolbul.2021.112124 description "Reduction in the impact of human-induced factors is capable of enhancing the environmental health. 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." assertion.
- NO2_EUROPE_ADAMAPI2019-03-01_2021-06-30.nc description "NO2 CAMS over Europe March-June 2019, 2020 and 2021 extracted from ADAM data cube." assertion.
- content description "Data at the Acqua Alta oceanographic tower is a collection of physical and biogeochemical observation in the northern Adriatic Sea https://www.comune.venezia.it/it/content/3-piattaforma-ismar-cnr http://www.ismar.cnr.it/infrastrutture/piattaforma-acqua-alta" assertion.
- ?dataset=69623:EU_CAMS_SURFACE_NO2_G description "CAMS NITROGEN DIOXIDE" assertion.
- ?dataset=69625:EU_CAMS_SURFACE_O3_G description "CAMS OZONE" assertion.
- ?dataset=69627:EU_CAMS_SURFACE_PM25_G description "CAMS SURFACE PARTICULATE METTER D<2.5" assertion.
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- 10.1016%2Fj.marpolbul.2021.112124 contentUrl "https://doi.org/10.1016%2Fj.marpolbul.2021.112124" assertion.
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