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River discharge into the Gippsland Lakes
River discharge data from 19 gauging stations were extracted from the Victorian Water Resources Data Warehouse. The extracted data has been compiled and processed to give concurrent observed flows, in hourly time step at the outlets of all the six major rivers associated with the Gippsland Lakes system. Continuous discharge data is provided for the outlets of the eastern (Tambo, Nicholson, Mitchell) and western rivers (Avon, Thomson/Macalister, Latrobe) from 1974 and 1977, respectively through to December 2000. The data was produced for use in the calibration of the Gippsland Lakes Flood Level Modelling Project (GLFLMP), and to re-construct historical water levels in the Gippsland Lakes. The processed hourly river discharge data for the six major rivers used in the GLFLMP are available as text files.
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Gippsland Lakes Digital Elevation Model
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The Gippsland Lakes are a large coastal lagoon system in Victoria with major settlements on their shores and a potential inundation area of over 700sq km. A digital elevation model (DEM) of the Gippsland Lakes was developed in 2002 to support flood level estimation. The ANUDEM program, produced by the Centre for Resource and Environmental Studies at the Australian National University was used to produce the DEM from a comprehensive range of data sources including digitised contours from aerial photogrammetry and survey data from local authorities . The Gippsland Lakes DEM provides a digital description of the terrain surface lying below 5 metres on the Australian Height Datum (AHD), including the bathymetry of the lakes, and gives continuous elevation values over the entire study domain. The DEM provides a useful tool for extracting cross-sections of model input, computing storage volumes for confined areas and displaying computed flood extents. The DEM has been developed for use in modeling high flow events and should not be used to assess inundations patterns under low flow conditions.
Nutrient, Bacteria, Ammonia, & TSS Annual Loads; Green & Gray Infrastructure; Land Cover Change; and Climate Data in the Gwynns Falls Subwatersheds, Baltimore, MD, 1998-2016
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This metadata record document contains 7 tables used to assess factors influencing long-term water quality changes in the Gwynns Falls, Baltimore, MD, 1998-2016. Included are daily discharge measurements (source: United States Geological Survey (USGS), 2016), weekly nutrient sampling concentrations (source: Baltimore Ecosystem Study (BES), 2015), and approximately monthly bacteria, ammonia, TKN, and TSS sampling concentrations (source: Baltimore City Department of Public Works (DPW), 2016; Baltimore County Department of Environmental Protection and Sustainability (DEPS), 2016). Annual loads were calculated for each Gwynns Falls subwatershed from the discharge measurements and sampling concentrations. Green infrastructure data (Best Management Practices (BMPs), rain barrels) and gray infrastructure data (Sanitary Sewer Overflows (SSOs), sewer repairs, water main breaks & leaks) were obtained from Baltimore City DPW and Baltimore County DEPS and summarized annually for each Gwynns Falls subwatershed. Land cover change data (source: National Land Cover Dataset (NLCD), 2011 and 2015) was created for each Gwynns Falls subwatershed over the time period of 2001-2011. Regional climate data (source: National Oceanic and Atmospheric Administration (NOAA), 2016) was obtained from the Baltimore Washington International (BWI) Airport meteorological station.
Water Quality, River Discharge and Remote Sensing Data Base (RRMMP, JCU)
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The exposure of Great Barrier Reef coral reef and seagrass ecosystems to contaminants is estimated from the synthesis of: river discharge, water quality data sampled in inshore sites during flood conditions and the use of remote sensing technology to estimate flood plume extents and duration. River discharge: Daily mean, maximum and minimum river discharge (Megaliters/day) from 36 rivers, plus their quality control code (as in the DERM web page –Department of the Environment and Resource Management, Qld Government, http://watermonitoring.derm.qld.gov.au/host.htm) dated from 1915 (Barron River at Kuranda) up to current date. Rivers current in the data base are: Barron River at Kuranda, Calliope River at Castlehope, Mossman River at Mossman, Waterpark Creek at Byfield, Fitzroy River at The Gap, Kolan River at Springfield, Sandy Creek at Homebush, North Johnstone River at Tung Oil, Endeavour River at Flaggy, Daintree River at Bairds, O'Connell River at Caping Siding, Haughton River at Powerline, Murray River at Upper Murray, Mulgrave River at Peets Bridge, Tully River at Euramo, Baffle Creek at Mimdale, Black River at Bruce Highway, Carmila Creek At Carmila, Ross River at Ross River Dam Headwater, South Johnstone River at Upstream Central Mill, Burdekin River at Clare, Pioneer River at Mirani Weir Tailwater, Russell River at Bucklands, Mary River at Home Park, Barron River at Myola, Herbert River at Ingham, Don River at Reeves, Burrum River at Lenthalls Dam Release, Annan River at Beesbike, Proserpine River at Proserpine, Boyne River at Milton, Burnett River at Figtree Creek, Rocky Dam Ck, O'Connell River at Stafford's Crossing, Normanby River at Kalpower Crossing, and Pioneer River at Dumbleton Weir T/W. Water Quality: Near-shore water quality data has been measured from direct water mainly sampled at the surface, since 1991 as part of the Water Quality Monitoring Plan for the Great Barrier Reef lagoon. Sometimes stratified samples using Niskin bottle has been also carried out. Water samples are analyzed for: TSS (mg/l), chl-a (µg/l), phaeo-a (µg/l), cdom (440), Si (µM), DIP (µM), DOP (µM), TDP (µM), PP (µM), TP (µM), NO2 (µM), NO3 (µM), NOX (µM), NH4 (µM), DIN (µM), DON (µM), TDN (µM), PN (µM), TN (µM), POC (µM), DOC (µM), and the pesticides Ametryn, Atrazine, Bromacil, Desethyl-A, Desisoprop, Diuron, Fluometuro, Hexazinone, Imidaclopr, Metolachlo, Prometryn, Simazine, Tebuthiuro, and Terbutryn. Water temperature, salinity, light and dissolved oxygen are also determined using a Sea-Bird profiler. Each sample is identified in the water quality table by its name, latitude, longitude, sampling time and date. All sample analyses are carried out by the ACTFR laboratory, except for pesticides, which are processed at University of Queensland. The Sea-Bird profiles are treated before inclusion into the data base, and outliers are masked. Remote sensing: The data base has an inventory of ~3000 MODIS imagery, including Aqua and Terra sensors. Because the main focus of our team research is to understand the influence of river plumes on the Great Barrier Reef, a more comprehensive temporal coverage covers the period form January to April from 2003 to 2011 (mainly MODIS Aqua imagery). The processed images were done up to level-2 and the main products extracted are CDOM as adg_443, nLw_667, bbq_555_qaa (both used as a proxy for turbidity) and chlorophyll as chl_gsm. True color images are also available for most of the images that have been processed.