The Upper Rio Grande. Multi-objective River and Reservoir System Modeling Flood Control Water Supply Navigation Aquatic/Riparian Habitat Recreational.

The Upper Rio Grande

Multi-objective River and Reservoir System Modeling

Flood ControlFlood Control

Water SupplyWater Supply

NavigationNavigation

Aquatic/Riparian Aquatic/Riparian HabitatHabitat

Recreational FlowsRecreational Flows

Water QualityWater Quality

Recreational Lake Recreational Lake LevelsLevels

HydropowerHydropower

23.5523.55

19.3419.34

16.216.2

326.9326.9

4.14.1

9.89.8

0.340.34

101.9101.9

11

22

55

33

66

44

88

77

Weights/PenaltiesWeights/Penalties

PrioritiesPriorities

Multiple Uses - Multiple Uses - operational scheduling, forecasting, operational scheduling, forecasting, planningplanning

Multiple solution methodologies - Multiple solution methodologies - simulation, simulation, rulebased simulation, optimizationrulebased simulation, optimization

Operating policy expressed as data – Operating policy expressed as data – create, view, change policies; see effects of policy on create, view, change policies; see effects of policy on operationsoperations

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

RequirementsRequirements::

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

Easy to use – Easy to use – create complex physical process and policy models without create complex physical process and policy models without writing computer code; point and click interface;writing computer code; point and click interface;

Analyze results of model runs through GUIAnalyze results of model runs through GUI

Automatic Data Management Interface – Automatic Data Management Interface – import/export import/export data from any source quicklydata from any source quickly

Extensible – Extensible – add new features easily, reproduce results of old modelsadd new features easily, reproduce results of old models

Supported / Maintained – Supported / Maintained – new releases, user support, trainingnew releases, user support, training

Objects on Workspace Represent Features of the Objects on Workspace Represent Features of the River and Reservoir SystemRiver and Reservoir System

Objects contain their own data Objects contain their own data Objects contain their own physical process Objects contain their own physical process

modelsmodels Objects know only about themselves Objects know only about themselves

- when they get a new value- when they get a new value

- how to use their data to simulate- how to use their data to simulate

Object-Oriented Modeling Object-Oriented Modeling ApproachApproach

Objects on the Palette and Their Methods ReservoirsReservoirs Storage (Storage (mass balance, release, spill)mass balance, release, spill)

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

Sloped ( Sloped ( + wedge storage)+ wedge storage)

Pumped Storage Pumped Storage (+ (+ pump/generators)pump/generators)

Confluence - Confluence - mass balancemass balance Canal - Canal - bi-directional gravity flowbi-directional gravity flow River Reach - River Reach - routing, water qualityrouting, water quality AggDiversion Site - AggDiversion Site - demands, consumption, return flow, available waterdemands, consumption, return flow, available water Water User - Water User - demands, consumption, return flowdemands, consumption, return flow Diversion - Diversion - pumped or gravity diversion structurepumped or gravity diversion structure Groundwater Storage - Groundwater Storage - gw interaction for return flows, seepage, conjunctive usegw interaction for return flows, seepage, conjunctive use AggDistribution Canal - AggDistribution Canal - calculates diversion schedules, routes flowscalculates diversion schedules, routes flows Stream Gage - Stream Gage - input for river gage data; propagates flow value u.s. and d.s.input for river gage data; propagates flow value u.s. and d.s. Thermal Object - Thermal Object - economics of thermal power systemeconomics of thermal power system Data Object - Data Object - user-specified datauser-specified data

Three Solution Approaches

1. 1. SimulationSimulation models physical processes for a variety of input/output combinationsmodels physical processes for a variety of input/output combinations

(upstream/downstream; forward/backward in time)(upstream/downstream; forward/backward in time)

2.2. Rulebased Simulation Rulebased Simulationsimulation driven by user-specified operating rules (policy) expressed simulation driven by user-specified operating rules (policy) expressed

through through an interpreted languagean interpreted language

3. Optimization3. Optimizationlinear goal programming solution linear goal programming solution

USBR Applications of RiverWare

Colorado River – CRSS, 24-month study (stakeholders)Colorado River – CRSS, 24-month study (stakeholders) Lower Colorado EISLower Colorado EIS San Juan – daily operations, EIS with USGS, BIASan Juan – daily operations, EIS with USGS, BIA Yakima – planning modelYakima – planning model Upper Rio Grande – URGWOM with COE, USGSUpper Rio Grande – URGWOM with COE, USGS Pecos – EIS with NMISCPecos – EIS with NMISC Gunnison – policy analysis for environmental issues with NPSGunnison – policy analysis for environmental issues with NPS Truckee River – accounting and daily operationsTruckee River – accounting and daily operations Umatilla – with BIAUmatilla – with BIA

Areas of Ongoing USBR-funded R&D

Water Accounting/Water Rights modelingWater Accounting/Water Rights modeling Enhancement to Rulebased Simulation to Enhancement to Rulebased Simulation to

facilitate developing policy setsfacilitate developing policy sets Continued new physical processes and basin Continued new physical processes and basin

features modeledfeatures modeled Post processing and data connectionsPost processing and data connections

Taos Gorge, Rio Grande

The Okavango Basin

15 °S

20 °S

20 ° E

20 ° E

25 ° E15 ° E

15 ° E

ZAMBIA

NAMIBIA

BOTSWANA

Z I M B A B W E

ANGOLA

L. Ngami

L. Xau Makgadikgadi Pans

Xaudum R.

Ncamasere R.

Maun

Savuti R.

SelindaSpillway

Chobe R.

Grootfontein

RunduProposed Pipeline Route

OKAVANGO DELTA

Huambo

N

AZ

Z

B

SA

M

L

S

M

Okavango Delta in Flood

Sharing Water: Towards a Transboundary Consensus on the Management of the Okavango Basin Joint proposal by NHI and IUCN to develop Joint proposal by NHI and IUCN to develop

and test a transparent decision-making model and test a transparent decision-making model (WEAP) in the context of the Okavango Basin (WEAP) in the context of the Okavango Basin

Build regional capacity to manage complex Build regional capacity to manage complex transboundary river systems and apply transboundary river systems and apply conflict management toolsconflict management tools

Develop a set of key parameters necessary to Develop a set of key parameters necessary to monitor ecological trends in the basinmonitor ecological trends in the basin

Adaptive Management

Acting without knowing enough, and learning. Acting without knowing enough, and learning.    Important management toolImportant management tool    Acknowledges incomplete understanding  Acknowledges incomplete understanding      Iterative process Iterative process

Adaptive Management: the Process

1.1. Define measurable goals and objectives Define measurable goals and objectives 2.2. Develop a conceptual modelDevelop a conceptual model3.3. Generate hypotheses   Generate hypotheses   4.4. Explicitly disclose assumptions and uncertaintiesExplicitly disclose assumptions and uncertainties5.5. Develop numerical model(s)Develop numerical model(s)6.6. Design management interventionsDesign management interventions7.7. Implement interventionsMonitor, and analyze resultsImplement interventionsMonitor, and analyze results8.8. Adjust management interventions accordinglyAdjust management interventions accordingly9.9. Design new interventions  Design new interventions  

Lessons Learned

              DDesired end conditions need to be clearly defined esired end conditions need to be clearly defined               Monitoring needs to be tied to specific goalsMonitoring needs to be tied to specific goals               Our ignorance of ecosystems is unevenOur ignorance of ecosystems is uneven               Pragmatism is fundamental Pragmatism is fundamental               ““Battle of the Models” Battle of the Models”             Institutional IssuesInstitutional Issues

Restoring Aquatic Ecosystems: Delivering on the Promise of Adaptive Management

Analyze successes and pitfalls associated with Analyze successes and pitfalls associated with adaptive managementadaptive management

Provide focused attention to further adaptive Provide focused attention to further adaptive management practices - Yolo By-Pass, San Joaquin management practices - Yolo By-Pass, San Joaquin Basin, the Guadalupe River, and the Russian RiverBasin, the Guadalupe River, and the Russian River

Advance the ability of NHI to assist in implementing Advance the ability of NHI to assist in implementing adaptive management approaches in aquatic adaptive management approaches in aquatic restorationrestoration