Christopher Fields, PhD Candidate Drs. Lynn Johnson and John Labadie Dept. Civil and Environmental Engineering Cooperative Institute for Research on

Transcription

1 Christopher Fields, PhD Candidate Drs. Lynn Johnson and John Labadie Dept. Civil and Environmental Engineering Cooperative Institute for Research on the Atmosphere Colorado State University 19 November 2015

2 Presentation Goals What are the challenges? Why do we need a DSS? What DSS are we using? What gridded data are we using? How can we apply the DSS? Russian River Basin

3 What are the challenges?

4 Challenges Basin Hydrology Distinct Wet and Dry Seasons Atmospheric River Phenomena Supply/Demand Discrepancies 25,000 Russian River Discharge Near Guerneville (Water Year 2012) Average Daily Discharge (cfs) 20,000 15,000 10,000 5,000 0 Oct-11 Dec-11 Feb-12 Apr-12 Jun-12 Aug-12

5 Challenges Agriculture Viniculture 6.5% of Basin Area (62,250 acres) Summer Irrigation Spring Frost Protection March October Diversions Agricultural Ponds Fill & Spill Operation

6 Challenges Environmental TES Species Endangered Coho Salmon Threatened Steelhead Trout and Chinook Salmon Needs Quantity and Timing of Flows Habitat Life Cycle Variability

7 Why do we need a DSS?

8 Needs Managed System to Redistribute Flows Guaranteed Minimum Flows Ability to Estimate Flows Throughout the System Consideration of Alternative Management Scenarios Integrated River Basin Management The coordinated planning, development, protection, and management of water, land, and related resources in a manner that fosters sustainable economic activity, improves or sustains environmental quality, ensures public health and safety, and provides for the sustainability of communities and ecosystems. - AWRA Position Statement: Integrated Water Resources Management in the US.

9 What DSS are we using?

10 Geo-MODSIM MODSIM Capabilities in a GIS Interface Improved Visualization and Model Development NHD Dataset Automated Network Creation Stream Flow Gauges Imagery Gridded Data Visualization Input Enhancement Gridded Inputs

11 What gridded data are we using?

12 Gridded Data Research Distributed Hydrologic Model (RDHM) Distributed Model Improved Forecasting for River Flows (Peak & Low Flows) Capable of Producing a Variety of Gridded Outputs Frost Forecast Model High Resolution 200 Meter, 3-hour Quantifies Frost Demands Real-time Data

13 How can we apply the DSS?

14 Demo DSS Network Development Select Tributary Quantify Demands Agriculture Instream Develop Input Streamflow Data RDHM Disaggregation Develop Scenarios Flow Rate (m 3 /s) Time (hr)

15 Demo DSS Impaired Scenario Tributary Inflows On-Stream Agriculture Ponds (5-10 acre-ft) Frost and Irrigation Demands No Instream Flow Requirement

16 Demo DSS Impaired Scenario Results All Agricultural Demands Met 12 Days of Zero Flow Maximum of 3 Consecutive Days with Zero Flow Simulated frost protection demands

17 Demo DSS Instream Flow Scenario Agricultural Demands Unchanged Instream Flow Requirements Added Q MBF = 9.0 Q m

18 Demo DSS 0.5 Instream Flow Scenario Results Irrigation shortages Instream Flows Satisfied Irrigation Flows (cfs) Pond Storage (acre-ft) Downstream Flows (cfs) Irrigation Shortage Pond Empties 0 Downstream Flows (cfs) Improved Instream Flows

19 Demo DSS Managed Scenario Instream Flow Requirements Off-stream ponds (10-30 acre-ft) Altered point of diversion at Node

20 Demo DSS 0.5 Managed Scenario Results No agricultural shortages No instream flow shortages Pond sizes determined Irrigation Flows (cfs) Pond Storage (acre-ft) Downstream Flows (cfs) Downstream Flows (cfs) No Irrigation Shortage Remaining Pond Storage Pond Fills Above Instream Flow Threshold

21 Summary

22 Summary What are the challenges? Hydrologic system driven by atmospheric rivers Competing demands that vary in quantity and timing Why do we need a DSS? Multi-objective system that requires flow redistribution Development and evaluation of management solutions What DSS are we using? Geo-MODSIM River network simulation program in a GIS platform What gridded data are we using? RDHM gridded flow data High-resolution temperature model How can we apply the DSS? Evaluate the effects of current/impaired conditions Develop and evaluate management solutions

23 Christopher Fields, PhD Candidate Drs. Lynn Johnson and John Labadie Dept. Civil and Environmental Engineering Cooperative Institute for Research on the Atmosphere Colorado State University 19 November 2015

24 References NHDPlus Version 2. Horizon Systems Corporation. Web. July 1, NOAA. Hydrometeorology Testbed: Distributed Hydrology Model Installed at NOAA Earth System Research Laboratory. National Oceanic and Atmospheric Administration. Web. July 14, NOAA. NOAA Habitat Blueprint. National Oceanic and Atmospheric Administration. Web. July 1, Northwest Alliance for Computational Science and Engineering. Prism Climate Data. Prism Climate Group. Web. July 1, Russian River Endangered Species. Sonoma County Water Agency. Web. July 1, Triana, Enrique, John W. Labadie, and Timothy K. Gates. River GeoDSS for Agroenvironmental Enhancement of Colorado s Lower Arkansas River Basin. I: Model Development and Calibration. Journal of Water Resources Planning and Management 136 (2010): Print. USFWS. USFWS Geospatial Services. United States Fish & Wildlife Service. Web. July 1, USGS. The National Map Viewer and Download Platform. United States Geological Survey. Web. July 1, USGS. USGS Surface-Water Daily Statistics for California. United States Geological Survey. Web. July 1, 2014.