Presentation on theme: "Water Quality First Day Report Amanda Vizedom, Josh Lieberman, Chuck Vardeman, Stan Skrobialowski, Kai Liu."— Presentation transcript:
Water Quality First Day Report Amanda Vizedom, Josh Lieberman, Chuck Vardeman, Stan Skrobialowski, Kai Liu
Models, Ontologies and Data Reuse HydroFeatures (OGC paper) WaterML OM Ontology Nwis: http://waterdata.usgs.gov/nwis/qwhttp://waterdata.usgs.gov/nwis/qw Many sources identified with their limitations and relevance Preliminary conclusion is that the conceptual models are not explicitly documented. Confusing taxonomies –What is a nutrient? For what? –Sample analysis includes varying categories/sub-categories and different data sets use different categories.
Example of problems in the data Lots of things grouped in Information category. Really many are chemical constituents
Initial Scenario Idea Goal: Gen some water quality data and enough about it to enable proper use & avoid misinterpretation People have point measurements and want to construct a property of a larger feature from that data. –Ex. Lake measurements are grounding data Have 4 measures and want to determine the lake salinity. From a sample hydrologic feature (point), can I get to a hydrologic feature of interest? (And if so, how?) Suggests an ODP idea.
Lets do a Measurement Pattern Model relation of sample measurements to properties of a larger entity. –We could connect this to hydrological features.
Older Work Approach Choose hydrologic features that are of particular interest (understood: for some purpose) Example is Quabbin Reservoir (water for Boston) –Resident and water quality authority each wants to know about their water –Form DB can get sample data for 3 points- surface, 20 and 80 ft. but only for 1984.
Issues Much of this already done in work but needs to read and incorporated 1.Samples vs aggregate 1.sample and everything you need to know to understand what it means 2.where taken 1.smallest granularity loc 2.feature(s) of interest 3.when taken 4.method of measurement 1.instruments 2.duration? 3.location 4.sensitivity 5.conditions of measurement 1.flow (rate, direction) 6.Quality characteristics that are measured 7.Units of measure 8.tolerance?
Missing Piece Relationship between sample characteristics to feature of interest characteristics –e.g., using sample data to characterize a stream reach What are the relationships? What is the scope of the feature –Set them up for expert commentary on the relationships between them.