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EMMMA: a web-based system for Environmental Mercury Mapping, Modeling, and Analysis

EMMMA is a web-based system for environmental mercury mapping, modeling, and analysis. It provides tools for data collection, modeling, visualization, and publication of fish-mercury data. The system includes a website, project articles, user's guide, and interpretive reports. It also offers collaborative research tools and uncertainty estimation. EMMMA aims to improve modeling accuracy, collect new data, and make predictions accessible on the web.

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EMMMA: a web-based system for Environmental Mercury Mapping, Modeling, and Analysis

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  1. EMMMA: a web-based system for Environmental Mercury Mapping, Modeling, and Analysis Steve Wente, Paul Hearn, David Donato, and John Aguinaldo U.S.Department of the Interior U.S. Geological Survey

  2. Samples/Site Samples in Fish-Hg Compilation

  3. NDMMF1 / EMMMA2 Progress & Plans Data Collection Modeling Visualization Publication (NDMMF) (EMMMA) Original Fish-Hg Data Project Information 1. EMMMA website 2. Project article 3. User’s guide Model Data Modeling Reports 1. Model description 2. Error assessment 3. Geospatial model Improve Model Collect New Data Data/Predictions on Web Interpretive Reports 1. EPA CAMR RIA 2. St. Croix fish Future: Collaborative Research Tools, Uncertainty Estimation, … 1National Descriptive Model of Mercury in Fish 2Environmental Mercury Mapping, Modeling, & Analysis Website (http://emmma.usgs.gov)

  4. National Descriptive Model of Mercury in Fish (NDMMF) (http://pubs.usgs.gov/sir/2004/5199/pdf/2004-5199.pdf) • Statistical model (analysis of covariance) • Objectively partitions Hg variation between: • Sample characteristics (species, tissues sampled, & fish length); and • Spatiotemporal variation – differences among sampling events (specific site & time) • Calibrated to national dataset (n> 58,000)

  5. NDMMF Accuracy – St. Croix Study (http://pubs.usgs.gov/sir/2006/5063/pdf/2006-5063.pdf)

  6. N = n = 96 96 4 R2 = R2 = .72 .72 .03 P.E. = P.E. = 34% 34% 29% NDMMF Accuracy Issue

  7. Applications: Comprehensive Fish Advisories

  8. Applications: Assessing Spatiotemporal Variation Predict “Standardized” Fish-tissue Hg Concentrations

  9. Standardized Raw Data Temporal Trends

  10. Mercury (ppm) > 1.5 1.2 – 1.5 0.9 – 1.2 0.6 – 0.9 0.3 – 0.6 < 0.3 NIEHS Spatial Variation (Raw Data)

  11. Comparison with Ancillary Data Mercury (ppm) > 1.5 1.2 – 1.5 Comparison with Ancillary Data 0.9 – 1.2 0.6 – 0.9 0.3 – 0.6 < 0.3 Spatial Variation (Standardized)

  12. Value of EMMMA • Planning of monitoring projects • Visualizing fish-mercury variation • Across sample characteristics (assess model fit, fish consumption advisories) • Spatiotemporal variation (maps & time trends) • ‘Eternal’ QA/QC & peer-review • Easy access to & comparison of data & models • Rapid improvement in ‘mercury science’

  13. Fish-tissue Mercury PPM Questions? Steve Wente spwente@usgs.gov Paul Hearn phearn@usgs.gov EMMMA http://emmma.usgs.gov

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