CyAN (Cyanobacteria Assessment Network) Project Work Package 1: Field Data Collation/Interpretation Keith Loftin, USGS PI and WP1 team lead.

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Presentation transcript:

CyAN (Cyanobacteria Assessment Network) Project Work Package 1: Field Data Collation/Interpretation Keith Loftin, USGS PI and WP1 team lead

CyAN Project and Objectives Agency PI’s Blake Schaeffer – EPA Richard Stumpf – NOAA Jeremy Werdell – NASA Keith Loftin - USGS Technical Approach Remote Sensing Uniform and systematic approach for identifying cyanobacteria blooms. Strategy for evaluation and refinement of algorithms across platforms. Environment Identify landscape linkages causes of chlorophyll-a and cyanobacteria. Health Exposure and human health effects in drinking and recreational waters. Economics Behavioral responses and economic value of the early warning system. Notifications Bring the technology to EPA, states and tribal partners.

Work Package 1: Team Introduction Robyn Conmy, US EPA Jenny Lanning-Rush, USGS Jennifer Graham, USGS Keith Loftin, USGS, OGRL

Work Package 1: Goals National cyanoHAB field and continuous water quality database for lakes, reservoirs, and estuaries. Use QC data tiers and environmental health risk thresholds for algorithm development/calibration/validation. Release of CyanoHAB database towards end of project with supporting information National ecological synthesis and interpretation of cyanoHABs from field and continuous data.

Work Package 1 Timelines FY 2016 FY 2017 FY 2018 FY 2019 FY 2020 Develop sampling wish list for collaborators x Develop plan for requesting, managing and QA/QC field observation data from states, tribes, municipalities, and federal sources Request field observation data Create database for satellite product validation Publications

FY16 Work Package 1 Timeline 1st QTR Data dictionary for database Data ingestion template Design database 2nd QTR Begin ingesting and processing data with focus on CA, FL, OH, and New England States (including historical data). Finish database design and build relational architecture. All states targeted in FY17, but will accept data now. 3rd QTR Continue data ingestion and processing Begin database export automation 4th QTR Database refinement

Target Data Natural and manmade lakes/ponds, coastal data (will be covered by EPA) Temporal/spatial/profile datasets within same waterbody Low, medium, and high concentrations for each variable needed: Turbidity Phytoplankton Cyanotoxins Pigments Nutrients Organic Matter – TOC, DOC, SUVA, CDOM, FDOM, water color

Highly Desired Data Sets Phytoplankton (cyanobacteria) Abundance Relative Abundance Biovolume Pigments Chlorophyll including pheophytin data Phycocyanin Cyanotoxins Organic Matter – TOC, DOC, SUVA, CDOM, FDOM, Water Color Particulates - Secchi Depth, Suspended Solids, turbidity Want data sets with at least one of the highly desired parameters.

Sample Location Data Date/Time - Latitude/Longitude – Continental United States Sampling Depth – Prefer surface samples – integrated photic zone or shallower. Sample Type (Grab, Composite, Depth Integrated, Width Integrated, Depth-Width Integrated)

General Water Quality Total Nitrogen (TN) Total Phosphorus (TP) Dual purpose QC of highly desired datasets and satellite data Ecological interpretation in cyanoHAB context pH Dissolved Oxygen (DO) Conductivity Surface Water Temperature Nutrients – Support development of derived eutrophication/chlorophyll product. Total Nitrogen (TN) Total Phosphorus (TP) Nutrient Species

Additional Data Digital Field Pictures – Does field observation support data (QC), capture other interferences not captured by other field data measures (e.g. aquatic plant cover, etc.)

Data Sources USGS US EPA US ACE US BOR (need to contact) US National Parks (have a contact) US Fish and Wildlife (need to contact) States (Rick – CA, FL, OH); Inland HAB Discussion group, ASDWA, etc. Tribes – inland HAB discussion group, states, USGS/US EPA tribal liasons

Additional Details Supporting (hopefully citeable) sample collection and laboratory methods documents. Defined (formal) QA/QC plan. Field and Laboratory QA/QC data Blanks Replicates Spiked replicates Calibration Any caveats we should know about your data.

CyAN Early Warning System Remote Sensing Field Data

Work Package 1: Team Contact Info Keith Loftin, USGS, Organic Geochemistry Research Laboratory (OGRL), Kansas Water Science Center, Lawrence, KS. kloftin@usgs.gov; 785-832-3543 (office); 785-764-1408 (cell) Additional Project information: https://eos.org/project-updates/agencies-collaborate-develop-a-cyanobacteria-assessment-network http://toxics.usgs.gov/highlights/2015-12-21-cyanobacteria_sensing.html http://ks.water.usgs.gov/studies/qw/cyanobacteria