Development and Interpretation of Long-Term Water Data: When is Long-Term Long Enough?
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Development and Interpretation of Long-Term Water Data: When is Long-Term Long Enough? Peter Thibodeau, Ph.D., P.G. David Dickson For the 2011 Alabama Water Resources Conference
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Development and Interpretation of Long-Term Water Data: When is Long-Term Long Enough?. Peter Thibodeau, Ph.D., P.G. David Dickson For the 2011 Alabama Water Resources Conference. Organization. Introduction The problem: Data Needs vs. Data Availability - PowerPoint PPT Presentation
Transcript of Development and Interpretation of Long-Term Water Data: When is Long-Term Long Enough?
Development and Interpretation of Long-Term Water Data: When is Long-Term Long Enough?
Peter Thibodeau, Ph.D., P.G.David Dickson
For the 2011 Alabama Water Resources Conference
Organization Introduction The problem: Data Needs vs. Data Availability Approaches to address long-term water data needs
– Surface water– Groundwater– Post-construction validation
Summary
The Problem: Do we have the data we need?
Evaluation of proposed projects in undeveloped or “under-” studied areas
Time scale of concern – defining the frame of reference Available sources of information Technological advantages
– GIS– AutoCAD– Raw computing power– Database availability (USGS, STORET, state and
university databases) Once we have framed the problem, we can look
at the pathways for solving the data needs
Do we have enough data? Are they “good” data?
“That system is designed to handle a 2-year storm. You know, that happens 2 or 3 times a year around here”. ---name withheld
“Typically, we evaluate stream effects on a decade time scale. You don’t have 10 years of data for that particular stream segment, so start collecting …” ---name withheld
“How can you convince me that this was the storm of record, just because it was the largest storm we have data for?” ---name withheld
What problems are we trying to answer? Framing the problem is essential Don’t over-scope the solution Statistical analysis options Relevance to assessing impacts or flow regime changes Ultimate goal: defendable decisions using appropriate data
When data are not available for the study area What streams/rivers in the area are/have
been monitored? Analytical approach: simple to complex
solutions– Mathematical relationships– Land cover– Land use and GIS solutions– Streamstats
Groundwater monitoring data
Data are available, but not the right time period Flow record extension techniques
– Analytical methods– GIS methods
Watershed adjustments for land use/cover– GIS methods
Similarity of watersheds– GIS methods
Stochastic events (storms and droughts) Groundwater correlations as a tertiary tool
http:Image obtained from //www.cleanwaterpartnership.org/alabama-river-basins/
Index wells for groundwater evaluation Working with state agencies to ID and accept discrete wells as
representative of area conditions Changes in index well water levels are representative of changes for
sites within a defined area Used to estimate impacts and acceptable water level variations The “Frimpter Method” (USGS, 1981)
Trend analysis of temporal changes Trend analysis of regional water availability: groundwater and surface
– Temporal analysis used for water supply planning– Spatial trends in water level changes due to development pressure– Groundwater flow modeling analysis
Aquifer to aquifer comparisons Limited capabilities Uncertainties and heterogeneities Possible depending on scale of the problem
Image obtained from http://www.gsa.state.al.us/gsa/geologichazards/sinkholes/lscrops.gif
Image obtained from USGS Scientific Investigation Report 2010-5080
Post-Development and Validation Getting out of the computer Field observations Real-world validation and checks on calculations, statistical
analysis, and modeling Opportunity to revise and re-scale if needed Future use of calibrated and validated data
Project Example: Wetland Mitigation Greens Creek Mitigation Bank – Clay County, Florida Project size: ±4,400 acres Hydrologic improvements to restore impacted wetlands and
generate points of lift. Impacts to hydrology were from silviculture (bedding rows and
planted pines in historic wetlands) and ditches. Wetlands and groundwater were being drawn down. Goal was to restore site to pre-agriculture conditions. Challenges:
– Minimal on-site historical data– No off-site effects/impacts allowed– Economics– In a drought– Timeline
Restoration plan– Installed piezometers to document current conditions (collected 10 months of
data prior to permitting).– Identified target community types and selected representative communities
nearby to document proposed conditions.– Collected representative site specific topographic data.– Collected available historical data for region.– Utilized computer model to design improvements.– Defendable decision – prove hydrologic improvement for plan approval.
Post Construction– Collect groundwater data for 5 yrs to compare with pre-construction conditions– Annual monitoring to measure success criteria and allow for adjustments
Results– Verify assumptions and validate the long-term water conditions as estimated
from permitting process.
Project Example: Wetland Mitigation
Summary
Framing the problem is essential to a good study Use available data to the extent possible Determine reliable extension methods based on specific site conditions Surface water techniques Groundwater methods Validation and getting out of the computer Defendable decisions using appropriate data
Thank You
Peter Thibodeau, Ph.D., P.G., P.H.Cardno ENTRIXRaleigh, North [email protected]
David DicksonCardno ENTRIXTallahassee, [email protected]
