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UT DGS 15 Presentation - Data in Action - Burian

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UT DGS 15 PresentationData in Action By Steve Burian, Ph.D., P.E.
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Cyber-Infrastructure to Enhance Access to Data- and Computationally- Intensive Modeling for Water Resources Management Steven J. Burian Associate Professor, Civil and Environmental Engineering Director, USAID-funded Pakistan Center for Advanced Studies in Water Associate Director, Global Change and Sustainability Center University of Utah
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  • Cyber-Infrastructure to Enhance

    Access to Data- and Computationally-

    Intensive Modeling for Water

    Resources Management

    Steven J. BurianAssociate Professor, Civil and Environmental Engineering

    Director, USAID-funded Pakistan Center for Advanced Studies in WaterAssociate Director, Global Change and Sustainability Center

    University of Utah

  • Norm Jones, Jim Nelson, Chris Latu, Nathan Swain, Scott Christensen, Spencer Taylor

    David Tarboton, Jeffery Horsburgh, David Rosenberg, Pabitra Dash, Tseganeh Gichamo, Adel Abdallah

    Steve Burian, Court Strong, Christine Pomeroy, Erfan Goharian, Adam Kochanski

    Fred Ogden, Scott Miller

    Jeff Niermeyer, Laura Briefer, Tracie Kirkham

    Collaboration

  • Low amount of and seasonal precipitation

    Warm and dry climate

    Data gaps and uncertainty

    Growing urban population

    Climate variability and change

    Future Water Challenges

  • Traditional Modeling Software Paradigm

  • A Digital DivideHPC SpecialistsResearchers

    Experimentalists Modelers

    awkgrep

    vi

    #PBS -l nodes=4:ppn=8

    mpiexec

    chmod#!/bin/bash

  • We are developing a suite of tools for building Cloud-based applications for modeling in support of water management decision-making.

    Data Sources

    Numerical Models

    Python Scripts

    Server

    Web Apps

    End Users & Decision Makers

  • CI-WATER System

    Map & Data Servers

    Data Repositories

    Model Result Repositories

    Visualization Tools

    Models

    Model Scripting

    Model Components

    Water

    ManagersState Planners

    Hydrologic

    ResearchersStudents

    General

    Public

    High Performance Computing

  • What is an app?

  • Tethys Software Framework

  • Web Mapping and Modeling

  • Plotting

  • Commercial Cloud-Computing Resources

    (Amazon, Google, Microsoft, etc.)

    Distributed

    Computing Web-Based Modeling Application

    Modeling Server

    LAN DesktopComputing Resources

    12

  • CASE STUDY: SALT LAKE CITY WATER MANAGEMENT

  • Stakeholders SLCDPU: J. Niermeyer, L. Briefer, T. Kirkham

    University of Utah: Burian/Goharian (Civil Engineering), Strong (Atmospheric Sciences), Stoker (Planning), Christensen (Biology/Ecosystems), Ehleringer (Biology), Harper (CHPC), McCool (PoliSci), Hunter (Utah Education Network)

    WWA: T. Bardsley

  • Salt Lake City

    Wasatch

    fron

    tJo

    rdan

    Riv

    er

    Farmington Bay

  • Water Supply

    60% from the four of the seven canyons above the City:

    City Creek, Parleys Creek,Big Cottonwood and Little Cottonwood

    20% Deer Creek and Provo System

    Rest from wells, springs and groundwater

  • 36 km

    12 km

    4 km

    In productionon Yellowstone!

    Climate Data Access

    CMIP5 projections

    Code identifies GCM with wettest

    and driest bias

    (BCSD 5)

    Disaggregates wettest & driest

    scenarios to

    hourly (BCCA 5)

    Applicable for U.S.

  • CI-WATER simulations use WRF model with three nested domains

    36 km

    12 km

    4 km

    Boundary conditions: 6-houlry NCEP CFSR~38 km resolution

    1985-19941995-present

    CMIP5 (~1)2025-2035 2055-2065 2085-2095

    Customizations related to water: Saturation vapor pressureUrban irrigation Lake model

    Dynamical Downscaling

  • Climate Modeling and Data Access

    Urban Water Supply System

    Model (Goldsim)

    Hydrologic Model (BYU, USU, WYO)

    Stormwater Model (SWMM)

    http://www.hiddenwaters.org/

    Water Quality Model

    Demand Scenarios

    clim

    ate

    imp

    acte

    d

    flo

    ws

    Hydrologic Model (CBRFC, RHESSys)

    Water System Model

    clim

    ate

    imp

    acte

    d

    flo

    ws

  • Research Questions

    What is impact of climate change on Salt Lake Citys water supply system performance?

    Future reliability and vulnerability of SLC water supply system?

    What impact will Rainwater Harvesting (RWH) have on SLCs integrated urban water system performance?

  • #1. Climate Impacts

    0

    50

    100

    150

    200

    250

    300

    350

    Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

    Str

    eam

    flow

    (cf

    s)

    Big Cottonwood Creek

    0

    10

    20

    30

    40

    50

    60

    Str

    eam

    flow

    (cf

    s)

    Dell Creek

    Warm Wet Warm DryMiddle Hot WetHot Dry His

    0

    10

    20

    30

    40

    50

    60

    70

    80

    Jan

    Feb

    Mar

    Apr

    May Jun

    Jul

    Aug

    Sep

    Oct

    Nov

    Dec

    Str

    eam

    flow

    (cf

    s)

    City Creek

    WWN5

    WDN5

    CTN5

    HWN5

    HDN5

    His

  • #2. Future of water in SLC

  • #3. RWH

  • Cost Analysis

    (5-year Period) (60-year Period)

  • SLCDPU Conclusions (so far)

    Salt Lake Citys surface water sources show significant sensitivities to increasing temperature

    Earlier runoff timing presents challenges in meeting late summer demands

    Sources have different vulnerabilities

    RWH can benefit broader IWRM goals

  • Thank You!

    Steven J. BurianAssociate Professor, Civil and Environmental Engineering

    Director, USAID-funded Pakistan Center for Advanced Studies in WaterAssociate Director, Global Change and Sustainability Center

    University of Utah

    [email protected]

    http://urbanwater.utah.edu/


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