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The Upper Rio Grande

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The Upper Rio Grande. 1 2 5 3 6 4 8 7. 23.55 19.34 16.2 326.9 4.1 9.8 0.34 101.9. Weights/Penalties. Multi-objective River and Reservoir System Modeling. Water Supply. Navigation. Priorities. Water Quality. Flood Control. Aquatic/Riparian Habitat. Recreational Flows.

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multi objective river and reservoir system modeling

1

2

5

3

6

4

8

7

23.55

19.34

16.2

326.9

4.1

9.8

0.34

101.9

Weights/Penalties

Multi-objective River and Reservoir System Modeling

Water Supply

Navigation

Priorities

Water Quality

Flood Control

Aquatic/Riparian Habitat

Recreational Flows

Recreational Lake Levels

Hydropower

slide3

RiverWare is a General River and Reservoir System Modeling Tool that Meets These Requirements:

  • Multiple Uses - operational scheduling, forecasting, planning
  • Multiple solution methodologies - simulation,

rulebased simulation, optimization

  • Operating policy expressed as data –

create, view, change policies; see effects of policy on operations

riverware is a general reservoir and river system modeling tool that meets these requirements
RiverWare is a General Reservoir and River System Modeling Tool that Meets These Requirements:
  • Easy to use – create complex physical process and policy models without writing computer code; point and click interface;

Analyze results of model runs through GUI

  • Automatic Data Management Interface – import/export data from any source quickly
  • Extensible – add new features easily, reproduce results of old models
  • Supported / Maintained – new releases, user support, training
slide5

Object-Oriented Modeling Approach

  • Objects on Workspace Represent Features of the River and Reservoir System
  • Objects contain their own data
  • Objects contain their own physical process models
  • Objects know only about themselves

- when they get a new value

- how to use their data to simulate

objects on the palette and their methods
Objects on the Palette and Their Methods
  • ReservoirsStorage (mass balance, release, spill)

Power Reservoirs Level (+ tailwater, power, energy, eis)

Sloped ( + wedge storage)

Pumped Storage (+ pump/generators)

  • Confluence - mass balance
  • Canal - bi-directional gravity flow
  • River Reach - routing, water quality
  • AggDiversion Site - demands, consumption, return flow, available water
  • Water User - demands, consumption, return flow
  • Diversion - pumped or gravity diversion structure
  • Groundwater Storage - gw interaction for return flows, seepage, conjunctive use
  • AggDistribution Canal - calculates diversion schedules, routes flows
  • Stream Gage - input for river gage data; propagates flow value u.s. and d.s.
  • Thermal Object - economics of thermal power system
  • Data Object - user-specified data
three solution approaches
Three Solution Approaches

1. Simulation

models physical processes for a variety of input/output combinations

(upstream/downstream; forward/backward in time)

2. Rulebased Simulation

simulation driven by user-specified operating rules (policy) expressed through an interpreted language

3. Optimization

linear goal programming solution

usbr applications of riverware
USBR Applications of RiverWare
  • Colorado River – CRSS, 24-month study (stakeholders)
  • Lower Colorado EIS
  • San Juan – daily operations, EIS with USGS, BIA
  • Yakima – planning model
  • Upper Rio Grande – URGWOM with COE, USGS
  • Pecos – EIS with NMISC
  • Gunnison – policy analysis for environmental issues with NPS
  • Truckee River – accounting and daily operations
  • Umatilla – with BIA
areas of ongoing usbr funded r d
Areas of Ongoing USBR-funded R&D
  • Water Accounting/Water Rights modeling
  • Enhancement to Rulebased Simulation to facilitate developing policy sets
  • Continued new physical processes and basin features modeled
  • Post processing and data connections
sharing water towards a transboundary consensus on the management of the okavango basin
Sharing Water: Towards a Transboundary Consensus on the Management of the Okavango Basin
  • Joint proposal by NHI and IUCN to develop and test a transparent decision-making model (WEAP) in the context of the Okavango Basin
  • Build regional capacity to manage complex transboundary river systems and apply conflict management tools
  • Develop a set of key parameters necessary to monitor ecological trends in the basin
adaptive management
Adaptive Management
  • Acting without knowing enough, and learning.
  • Important management tool
  • Acknowledges incomplete understanding  
  • Iterative process
adaptive management the process
Adaptive Management: the Process
  • Define measurable goals and objectives
  • Develop a conceptual model
  • Generate hypotheses  
  • Explicitly disclose assumptions and uncertainties
  • Develop numerical model(s)
  • Design management interventions
  • Implement interventionsMonitor, and analyze results
  • Adjust management interventions accordingly
  • Design new interventions  
lessons learned
Lessons Learned
  • ·       Desired end conditions need to be clearly defined
  • ·Monitoring needs to be tied to specific goals
  • ·Our ignorance of ecosystems is uneven
  • ·Pragmatism is fundamental
  • ·“Battle of the Models”
  • ·Institutional Issues
restoring aquatic ecosystems delivering on the promise of adaptive management
Restoring Aquatic Ecosystems: Delivering on the Promise of Adaptive Management
  • Analyze successes and pitfalls associated with adaptive management
  • Provide focused attention to further adaptive management practices - Yolo By-Pass, San Joaquin Basin, the Guadalupe River, and the Russian River
  • Advance the ability of NHI to assist in implementing adaptive management approaches in aquatic restoration
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