Acquisition & Utilization of Cave Data

Slides:



Advertisements
Similar presentations
COURSE COORDINATOR: DR. J. O. ADEJUWON OFFICE LOCATION: ROOM B203, COLERM BUILDING OTHER LECTURERS: DR. GRACE O. OLUWASANYA.
Advertisements

Assessing Mining Impacts Groundwater Modeling in Karst Aquifers
Streamflow and Runoff The character, amount, and timing of discharge from a basin tells a lot about flow paths within the basin Therefore, important to.
The Hydrologic (Water) Cycle. Surface Water Oceans Rivers and streams Lakes and ponds Springs – groundwater becomes surface water.
February 15, 2006 Geog 458: Map Sources and Errors
Acquisition and Interpretation of Water-Level Data Travis von Dessonneck.
Essential Elements of Hydrological Information Systems Module 15 Some slides taken from HP-2 training module by Mark Heggli Revised by: Steve Lipscomb.
Principles of Surveying
Operational integration of biodiversity and physico-chemical data: experience at the BMDC Meerhaeghe A., De Cauwer K., Devolder M., Jans S., Scory S.
STUDY OF THE ROUGHNESS CHARACTERISTICS OF PLANT SPECIES IN CALIFORNIA RIVERS By U.C.Davis J.Amorocho Hydraulics Laboratory.
7 & 8 May 2004 MEDITATE Kick off meeting, Montpellier, Michel BAKALOWICZ 1 Karst Sub-Marine Springs (KSMS) Michel BAKALOWICZ HydroSciences, CNRS Partner.
Potential for water buffering A landscape based approach Lieselotte Tolk, et al.
The fluid velocity in a square conduit has been given as 2B x y dA Find the volumetric flow rate Q 1 What is the volumetric flowrate across element dA?
Characterization of the Mammoth Cave aquifer Dr Steve Worthington Worthington Groundwater.
Introduction to Database Management. 1-2 Outline  Database characteristics  DBMS features  Architectures  Organizational roles.
GPS GIS GIS in Campbell River GPS: Global Positioning System Originally designed for use by the military It is a satellite-based, radio navigation.
Bridging the Gap between Cavers and Scientists … Gary Maddox, P.G. Ground Water Protection Section Florida Department of Environmental Protection NSS #22937.
11 March 2013 Tim Oakley, GCOS Implementation Manager WIGOS TT Metadata Global Climate Observing System.
Understanding Hydro-geochemical Process Coupling at the Susquehanna Shale Hills Critical Zone Observatory (SSHCZO) Using RT-Flux-PIHM: an integrated hydrological-reactive.
Uncertainty How “certain” of the data are we? How much “error” does it contain? Also known as: –Quality Assurance / Quality Control –QAQC.
Flood Map Modernization and North Dakota Julie Prescott, ND Map Modernization Coordinator North Dakota State Water Commission And Brian Fischer, CFM, GIS.
Karst Groundwater: Chemical vs. Thermal tracing By: Robert J Kelley.
Multiple Purpose Dam & Reservoir
THE HYDROLOGIC CYCLE 2: GROUNDWATER. The Hydrologic Cycle - Fresh Water Storage Reservoir % of Total Fresh Water Glaciers (Frozen)76% Groundwater22% Rivers.
Unit 9 Coordinates, Area, Volume, and Capacity Grade 5.
Global Positioning System (GPS) Satellite Location 20 Satellites in system Each carries very accurate clock Sends a coded signal every millisecond Ground.
CTARA Summer Internship Project Status Report 10-Jun-2010.
1Land Navigation for GTL.ppt Last Revised: 16 July 2002 Land Navigation for Ground Team Leaders Developed as part of the National Emergency Services Curriculum.
Doppler Navigation & Aiding for Maritime Robots Presented by: Omer Poroy Presented at: The Maritime Business & Technology Summit, November 30, 2011 Panel.
Smith County Water Control & Improvement District #1 : GIS Implementation & Mapping GIS Master Project Cynthia Carey Feirman Fall 1999.
Environmental Modeling Weighting GIS Layers Weighting GIS Layers.
Rural e-Science what we may need to survive ourselves! Jeong-Jae Lee & Byong-Lyol Lee Seoul Nat’l Univ. / NCAM.
Geospatial Hydrology Group
Determining Groundwater Contamination
Groundwater Learning objectives
LIDAR and TDS in GIS A Comparison of Channel Geometry Profiles Created from Remotely Sensed and On-the-Ground Survey Data (or..how a programmer in China.
DIGITAL ELEVATION MODEL (DEM), ITS DERIVATIVES & APPLICATIONS
Estimating Groundwater and Surface Water Interactions Using Groundwater Depth August 29, 2017 Kirk Klausmeyer SENIOR SPATIAL DATA SCIENTIST.
GEOGRAPHICAL INFORMATION SYSTEM
Profile Leveling.
Significance of Caves in Watershed and Protection in Florida
Flood damage analysis: uncertainties of first floor elevations derived from LiDAR-derived digital surface models José María Bodoque (1), Estefanía Aroca-Jiménez.
Diffuser Performance Assessment Kanawha River, WV
Applications to Rural e-Science
Better Characterizing Uncertainty in Geologic Paleoflood Analyses
WFM 6202: Remote Sensing and GIS in Water Management
Ocean Instrumentation
Georeferencing Calculator Example
Ask questions Investigate Communicate results
Significance of Caves in Watershed and Protection in Florida
Surface Analysis Tools
Using GIS to Evaluate Water-Level Changes in Gillespie, Co. Texas:
Living with Streams in Flood
Integrated River Basin Management Tools and methods for IRBM Monitoring, Acquisition and processing of Water Resource Data.
Acquisition & Utilization of Cave Data
Uncertainty and Best Practices
Hydraulics of Wetlands: Monitoring and Modeling Emily Spargo
Sam B. Upchurch SDII Global Corporation Tampa, Florida
Spatial interpolation
INTRODUCTION OF GEOMATIC
Storm Event Analysis: August 21, 2006 Amarillo, Texas
Leveling.
Leveling.
↑(Valid for other tubes) ↑(Valid for square tubes only)
Utilization of Cave Data in Hydrogeological Investigations
Bridging the Gap between Cavers and Scientists …
Sam B. Upchurch SDII Global Corporation Tampa, Florida
Characterization of the Mammoth Cave aquifer
Uncertainty and Best Practices
The role of Earth Observation in monitoring and reporting SDG Indicator Jason Jabour, UN Environment,
Presentation transcript:

Acquisition & Utilization of Cave Data Todd R. Kincaid, Ph.D. Hazlett-Kincaid, Inc. www.hazlett-kincaid.com Global Underwater Explorers www.gue.com

Issues: Diver vs. Scientist Acquisition What’s Feasible? Logistical Limitations Technical Guidance Utilization Access Reliability

Data Acquisition: What’s Feasible? Cave survey data Geochemical samples Tracer Injections Semi-permanent instrumentation Video ???

Data Acquisition: Cave Survey Data Data: Moving Polar Coordinates Azimuth Distance Depth Width Height Limitations Time Precision Emerging Technologies Sonar mapping Integrated digital devices Data loggers Maximize Diver Utility Minimize Diver Interface

Cave Survey: Uncertainty Azimuth Error Profile Error

Cave Survey: 3-D Modeling 3-D Cave Model Data Interpolation Gridding Gridded Data Wakulla

Survey Data: Groundwater Modeling Modeling with Conduits Conduits Wakulla Spring Flow Paths Without Conduits

Data Acquisition: Geochemical Data Grab samples Data sonde profiles Instrumentation Example 100+ samples 222Rn, d18O, SF6 pen. > 4000 ft multiple events 79 4 River Ground water flow direction River water flow direction 20 - 50% River water 0 - 20% River water 50 - 70% River water > 70% River water Explanation Devil’s Ear spring Devil’s Eye July Geochemical Sampling Devil’s Ear Cave System Limitations: Time Carrying capacity Training Simplify sample collection and storage methods Minimize sample/apparatus size Provide thorough training on collection procedures

Data Acquisition: Groundwater Tracing In-cave injection and sampling increases probability of success! Tracer Recovered Velocity Sullivan- Cheryl 5,953 ft/day > 20% Cheryl- Emerald 9,638 ft/day > 99%

Data Utilization: Issues Access Reliability Cave Database Lines 2-D projection of cave passages Average passage characteristics Land use (if known) Ownership (if known) Points 3-D information at survey stations or bends MetaData History of data evolution Projection / elevation datum

Cave Database