The layer provides information on suspended particulate matter (SPM) concentrations by area. There is a natural interaction phenomenon between hydrocarbons and SPM, that creates hydrocarbon-SPM aggregates. The SPM in the water column, hence has an effect on hydrocarbon capacity to sink to the bottom in aggregate form (Gong et collab., 2014 ; Fitzpatrick et collab., 2015, cited in Centre d'expertise en analyse environnementale du Québec, 2015). Additional InformationThe suspended particulate matter data for this layer are derived from multiple sources given the need to cover the St. Lawrence portion from Montreal to Anticosti. The layer has been cut into 6 different zones. Denis Lefaivre, a researcher at Maurice-Lamontagne Institute, has provided the coordinates of the points allowing the delimitation of areas. The values in each zone are derived from different studies carried out at different times. The references are cited below for each of the polygons from West to East, as well as for the summary:1- Department of Sustainable Development, Environment and Climate Change and Environment and Climate Change Canada, 2016. Recommendations for Suspended Matter Management (ESM) during dredging activities. Quebec. 64 pages and appendices. http://planstlaurent.qc.ca/fileadmin/publications/diverses/Registre_de_dragage/Recommandations_dragage.pdf2- D'Anglejan, B. 1990. Recent Sediments and Sediment Transport Process in the St. Lawrence Estuary. In Oceanography of a Large-Scale Estuarine System: The St. Lawrence, edited by M. I. El-Sabh and N. Silverberg. New York: Springer-Verlag, 109-153.3- Silverberg, N., and B. Sundby. 1979. Observations in the maximum turbidity of the St. Lawrence estuary. Can. J. Earth Sci. 16: 939-950.4- Michel Lebeuf, 2016.Unpublished personal data.Collected between 2015-2016 for research purposes.5- Sundby, B. 1974. Distribution and Transport of Suspended Particulate Matter in the Gulf of St. Lawrence. Canadian Journal of Earth Sciences11 (11): 1517-1533.6- Gong, Y., X. Zhao, Z. Cai, S. E. O'Reilly, X. Hao and D. Zhao. 2014. A review of oil, dispersedoil and sediment interactions in the aquatic environment: Influence on the fate, transportand remediation of oil spills. Marine Pollution Bulletin, vol. 79: 1-2, p.16-33. 7- Fitzpatrick, F.A., M.C., Boufadel, R., Johnson, K., Lee, T.P., Graan, A.C., Bejarano, Z.,Zhu, D., Waterman, D.M., Capone, E., Hayter, S.K., Hamilton, T., Deffer, M.H.,Garcia, et J.S., Hassan. 2015. Oil-particle interactions and submergence from crudeoil spills in marine and freshwater environments – Review of the science and futurescience needs. U.S. Geological Survey Open-file report 2015-2016, 33 p.8- Centre d'expertise en analyse environnementale du Québec,2015.Hydrocarbures pétroliers : caractéristiques, devenir et criminalistique environnementale –Études GENV222 et GENV23, Évaluation environnementale stratégique globale sur leshydrocarbures. Ministère du Développement durable, de l’Environnement et de la Lutte contreles changements climatiques, 41 p. et annexes.9- CSL – Centre Saint-Laurent, 1997. Le Saint-Laurent : dynamique et contamination des sédiments, Montréal, Environnement Canada – Région du Québec, Conservation de l’environnement, 127 p. (coll. BILAN Saint-Laurent). [Rapport thématique sur l’état du Saint-Laurent].

This dataset is a compilation of numerous data files recovered as part of a data request in 2024 from a historical archive of DFO research data. Sediment and Suspended Particulate Matter (SPM) samples were collected over more than a decade as part of Dr. Douglas Loring’s research program while working at the Bedford Institute of Oceanography (BIO). Samples were collected as part of individual and collaborative research projects, and links to the relevant primary science publications and reports are included in the data in an effort to provide context to the data, as well as describe the field and laboratory techniques used to generate the attached data.

The Agri-Environmental Indicator Particulate Matter dataset provides an estimated net emissions of particulate matter from agricultural lands.

The Regional Deterministic Air Quality Analysis (RDAQA) is an objective analysis of surface pollutants which combines numerical forecasts from the Regional Air Quality Deterministic Prediction System (RAQDPS) and hourly observational data from monitoring surface networks over North America in order to produce a better description of the air quality at every hour. Chemical constituents include 03, SO2, and NO2 gases, as well as fine particulate matter PM2.5 (2.5 micrometers in diameter or less) and coarse particulate matter PM10 (10 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available only for the surface level, at a horizontal resolution of 10 km. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment.

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air pollutant emissions indicators track emissions from human activities of 6 key air pollutants: sulphur oxides (SOX), nitrogen oxides (NOX), volatile organic compounds (VOCs), ammonia (NH3), carbon monoxide (CO) and fine particulate matter (PM2.5). Black carbon, which is a component of PM2.5, produced by combustion, is also reported. Sectoral indicators on air pollutant emissions from the oil and gas industry, transportation, off-road vehicles and mobile equipment and electric utilities provide additional analysis on the largest sources of Canada's air pollutant emissions.For each air pollutant, the indicators are provided at the national and provincial/territorial levels. They also identify the major sources of emissions and provide links to detailed information on air pollutant emissions from facilities. The Air pollutant emissions indicators are intended to inform Canadians and decision makers about progress made towards reducing emissions from human-related sources of air pollutants and about the effectiveness of emission reduction measures in reducing emissions to improve ambient air quality in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air quality indicators track ambient concentrations of fine particulate matter, ground-level ozone, sulphur dioxide, nitrogen dioxide and volatile organic compounds at the national, regional and urban area levels and at local monitoring stations. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators

This dataset accompanies the open access article "Improving satellite chlorophyll-a retrieval in the turbid waters of the Bay of Fundy, Canada" published in Estuaries and Coasts (https://doi.org/10.1007/s12237-024-01334-x). A full methods description is provided in the article. Briefly, we processed daily satellite data from the MODerate-resolution Imaging Spectroradiometer (MODIS) on the Aqua satellite from 2003 to 2021 at 300 m resolution to understand and quantify spatial and temporal trends in chlorophyll-a concentration (chl-a, a measure of phytoplankton biomass), and suspended particulate matter concentration (SPM) in the Bay of Fundy surface waters. This dataset provides the median yearly and seasonal climatology of chl-a (mg m-3 ) and SPM (g m-3) from 2003 to 2021 as geotiff layers. Here winter is defined as January to March, spring as April to June, summer as July to September, and fall as October to December. Chl-a was calculated with the OCX-SPMCor algorithm and SPM was calculated with the Nechad et al 2010 algorithm.Cite this data as: Wilson, K., Hilborn, A., Clay, S., Devred, E. Data ofSatellite derived surface chlorophyll-a and suspended particulate matter in the Bay of Fundy from 2003 to 2021. Published February 2024. Ocean Ecosystem Science Division, Fisheries and Oceans Canada, Dartmouth, N.S. https://open.canada.ca/data/en/dataset/272f5cf1-52bb-416b-b92a-8bc9384fc24d

The Regional Air Quality Deterministic Prediction System FireWork (RAQDPS-FW) carries out physics and chemistry calculations, including emissions from active wildfires, to arrive at deterministic predictions of chemical species concentration of interest to air quality, such as fine particulate matter PM2.5 (2.5 micrometers in diameter or less). Geographical coverage is Canada and the United States. Data is available at a horizontal resolution of 10 km. While the system encompasses more than 80 vertical levels, data is available only for the surface level. The products are presented as historical, annual or monthly, averages which highlight long-term trends in cumulative effects on the environment.

The flows and effluent quality data is for the parameters of: * Biological Oxygen Demand BOD5/CBOD5 * Total Suspended Solids (TSS), also described as Residual Particulate Solids * Total Phosphorus (TP) * total monthly flow Keywords: Sewage, Effluent, Discharge, Watershed, Waterworks, Water management, Muncipality

The Canadian Environmental Sustainability Indicators (CESI) program provides data and information to track Canada's performance on key environmental sustainability issues. The Air pollutant emissions indicators track emissions from human activities of 6 key air pollutants: sulphur oxides (SOX), nitrogen oxides (NOX), volatile organic compounds (VOCs), ammonia (NH3), carbon monoxide (CO) and fine particulate matter (PM2.5). Black carbon, which is a component of PM2.5, produced by combustion, is also reported. Sectoral indicators on air pollutant emissions from the oil and gas industry, transportation, off-road vehicles and mobile equipment and electric utilities provide additional analysis on the largest sources of Canada's air pollutant emissions.For each air pollutant, the indicators are provided at the national and provincial/territorial levels. They also identify the major sources of emissions and provide links to detailed information on air pollutant emissions from facilities. The Air pollutant emissions indicators are intended to inform Canadians and decision makers about progress made towards reducing emissions from human-related sources of air pollutants and about the effectiveness of emission reduction measures in reducing emissions to improve ambient air quality in Canada. Information is provided to Canadians in a number of formats including: static and interactive maps, charts and graphs, HTML and CSV data tables and downloadable reports. See the supplementary documentation for the data sources and details on how the data were collected and how the indicator was calculated.Canadian Environmental Sustainability Indicators: https://www.canada.ca/environmental-indicators