Red Butte Creek Storm Drain Sensor Network

Slides:

Advertisements

Similar presentations

CUAHSI Observations Data Model A relational database stored in Access, PostgreSQL, SQLServer, …. Stores observation data made at points Access data through.

Advertisements

HydroServer A Platform for Publishing Space- Time Hydrologic Datasets Support EAR CUAHSI HIS Sharing hydrologic data Jeffery.

COURSE COORDINATOR: DR. J. O. ADEJUWON OFFICE LOCATION: ROOM B203, COLERM BUILDING OTHER LECTURERS: DR. GRACE O. OLUWASANYA.

How to share and publish your data using HIS David G Tarboton Jeff Horsburgh Ilya Zaslavsky Tom Whitenack David Valentine Support EAR

ICEWATER: INRA Constellation of Experimental Watersheds Cyberinfrastructure to Support Publication of Water Resources Data Jeffery S. Horsburgh, Utah State.

A Community Data Model for Hydrologic Observations Observations Data Model Schema ODM Data Source and Network SitesVariables ValuesMetadata Depth of snow.

Managing Sensor Infrastructure: A Sensor Extension for ODM2 Amber Spackman Jones, Jeffery S. Horsburgh, Juan Caraballo, Maurier Ramírez Utah Water Research.

C van Ingen, D Agarwal, M Goode, J Gupchup, J Hunt, R Leonardson, M Rodriguez, N Li Berkeley Water Center John Hopkins University Lawrence Berkeley Laboratory.

Components of an Integrated Environmental Observatory Information System Cyberinfrastructure to Support Publication of Water Resources Data Jeffery S.

Sharing and publishing data using CUAHSI HIS Outline HIS data publication system WaterML and WaterOneFlow web services Observations data model (ODM) Data.

Development of a Community Hydrologic Information System Jeffery S. Horsburgh Utah State University David G. Tarboton Utah State University.

Introducing the CUAHSI Hydrologic Information System Desktop Application (HydroDesktop) and Open Development Community Jiří Kadlec, Daniel Ames, Teva Velupillai.

Deployment and Evaluation of an Observations Data Model Jeffery S Horsburgh David G Tarboton Ilya Zaslavsky David R. Maidment David Valentine

Tools for Publishing Environmental Observations on the Internet Justin Berger, Undergraduate Researcher Jeff Horsburgh, Faculty Mentor David Tarboton,

Using HydroServer Organize, Manage, and Publish Your Data Support EAR CUAHSI HIS Sharing hydrologic data Jeffery S. Horsburgh.

Setting up a HydroServer Support EAR CUAHSI HIS Sharing hydrologic data Jeffery S. Horsburgh David G. Tarboton, Kimberly.

Patrick Lazar, Tausif Shaikh, Johanna Thomas, Kaleel Mahmood

Exercises: Organizing, Loading, and Managing Point Observations Using HydroServer Support EAR CUAHSI HIS Sharing hydrologic data

Mathew R. Duguid April 26, 2007 ECET 491 Senior Design Professor Paul Lin Purdue University Fort Wayne, Indiana Project Advisor: Gary Steffen Automated.

Workshop Mark Heggli Innovative Hydrology, Inc. Consultant to the World Bank Expert Real-time Hydrology Information Systems Module 6: Training, Operations.

A Metadata Based Approach For Supporting Subsetting Queries Over Parallel HDF5 Datasets Vignesh Santhanagopalan Graduate Student Department Of CSE.

Amber Spackman Jones Jeffery S. Horsburgh Stephanie Reeder James Patton iUTAH Cyberinfrastructure to Support Data Collection and Management for the GAMUT.

HFR Method for Large Storm Events Katie Rose Surface Water Term Project.

Nathan Davis Steven Reid Kristen Ulmer Graduate Assistant: Nathan Dye.

Watershed Modeling using HEC-HMS and EPA-SWMM ©T. G. Cleveland, Ph.D., P.E. 16 July 2012 Lesson 5.

CE 3372 Water Systems Design Introduction to SWMM.

The CUAHSI Observations Data Model Jeff Horsburgh David Maidment, David Tarboton, Ilya Zaslavsky, Michael Piasecki, Jon Goodall, David Valentine,

Data Model / Database Implementation (continued) Jeffery S. Horsburgh Hydroinformatics Fall 2014 This work was funded by National Science Foundation Grants.

CE 3372 Water Systems Design

Storing and Publishing Water Observations Data Services Tim Whiteaker The University of Texas at Austin.

Lecture 9 Using Structured Query Language (SQL) Jeffery S. Horsburgh Hydroinformatics Fall 2012 This work was funded by National Science Foundation Grant.

Lecture 10 Aggregating & Pivoting Data in SQL and Excel David E. Rosenberg CEE 6930 – Hydroinformatics Fall 2012 This work was funded by National Science.

Lecture 5 Data Model Design Jeffery S. Horsburgh Hydroinformatics Fall 2012 This work was funded by National Science Foundation Grant EPS

Hydroinformatics Lecture 15: HydroServer and HydroServer Lite The CUAHSI HIS is Supported by NSF Grant# EAR CUAHSI HIS Sharing hydrologic data.

UNIVERSITY OF UTAH GREEN INFRASTRUCTURE MONITORING DATABASE CVEEN 7970 Hydroinformatics Semester Project Zachary Magdol, Jai Kanth Panthail, Pratibha Sapkota,

Using Python to Retrieve Data from the CUAHSI HIS Web Services Jeffery S. Horsburgh Hydroinformatics Fall 2015 This work was funded by National Science.

Design Reservoir relational Data Model By: Adel M. Abdallah USU Instructors: David E. Rosenberg & Dr. Jeff Horsburgh Nov. 29, 2012 Hydroinformatics, 6930.

Using Structured Query Language (SQL) Jeffery S. Horsburgh Hydroinformatics Fall 2014 This work was funded by National Science Foundation Grants EPS

Desktop Database and Climate Analysis Steven Burian and Erfan Goharian Hydroinformatics Fall 2013.

1 of 42 Lecture 5 Data Model Design Jeffery S. Horsburgh Hydroinformatics Fall 2013 This work was funded by National Science Foundation Grants EPS

Developing a community hydrologic information system David G Tarboton David R. Maidment (PI) Ilya Zaslavsky Michael Piasecki Jon Goodall

Glenn E. Moglen Department of Civil & Environmental Engineering Virginia Tech Continuous Streamflow Modeling with SWMM CEE 5734 – Urban Hydrology and Stormwater.

Jeffery S. Horsburgh Hydroinformatics Fall 2014

The CUAHSI Hydrologic Information System Spatial Data Publication Platform David Tarboton, Jeff Horsburgh, David Maidment, Dan Ames, Jon Goodall, Richard.

Hydroinformatics Lecture: HydroServer .NET/PHP

Using GIS in Creating an End-to-End System for Publishing Environmental Observations Data Jeffery S. Horsburgh David G. Tarboton, David R. Maidment, Ilya.

Using an Observations Data Model in Hydrologic Information Systems

Sharing models as social objects through HydroShare

Sharing Hydrologic Data with the CUAHSI* Hydrologic Information System

R: Packages and Data Retrieval

R: Packages and Data Retrieval

Batch Uploads In the ODM Using Worldwater.byu.edu

Using Structured Query Language (SQL) (continued)

SPU Modeling & Monitoring

Continuous Surrogate Monitoring for Pollutant Load Estimation in Urban Water Systems Anthony A. Melcher, USU Civil and Environmental.

Lecture 8 Database Implementation

CUAHSI HIS Sharing hydrologic data

Hydroinformatics Lecture 15: HydroServer (and HydroServer Lite)

Tamer Sultan Mousa Ziadeh

Impact of Climate Change on Water Resources

Data Acquisition, Management and Manipulation

HydroDesktop: A Key Component of the CUAHSI/CZO HIS for Hydrologic Data Discovery, Visualization, and Analysis Daniel P. Ames, Ph.D. P.E. Idaho State University.

Building an Observation Data Layer

Digital Elevation Models and Hydrology

Prepared By : Osama amr Qutayba mElhim

GIS-Enabled Rain Garden Design: Austin, Texas

DL4-Met Hydroclimate Data Logger

Development of a Hydrologic Model for the Wichita Falls District

An-Najah National University Civil Engineering Department Graduation project Hydraulic analysis & Redesign of Al-Masaken & Old Askar Camp Water Supply.

Ch 1 .Installing and configuring SQL Server 2005

Presentation transcript:

Red Butte Creek Storm Drain Sensor Network Lindsay Minck Nate Moodie Adam Olsen Kristianne Sandoval December 3, 2013 Hydroinformatics The University of Utah Department of Civil and Environmental Engineering

Presentation Outline Purpose of Project Project Site Instrumentation Sensor Setup and Data Transmission Data Management ODM Database Website SWMM Model Calibration

Purpose of Project Develop data management plan for storm drain sensors to be installed in Red Butte Creek. iUtah project being headed by Dasch Houdeshel Steps: Sensor setup & automation of data transmission Data management SWMM model calibration

Project Site Red Butte Creek University of Utah Campus Four Stormwater Outfalls One sensor installed in each Collect data for: Discharge Velocity Level Initial setup conducted at the University of Utah Hydraulics Lab

Instrumentation Sensor Setup Sensor Hardware and Calibration Hydraulics Lab flume for setup and calibration Determine minimum water level for accurate reading 0.05 feet

Instrumentation Sensor Setup Flowlink Software Sites (4) Connor Road Biology Growth Site Dentistry Fort Douglas Data Database Graphs for variables Output csv file

Instrumentation Sensor Setup Data Collection Schedule Wireless setup and scheduling Verify wireless data communication Create sensor “wake-up” schedule Data download to base computer Upload to RBC ODM Archive data files Run schedule for an extended time period in flume Verify schedule

Data Management ODM Database Overview CUAHSI HIS Hydrologic relational database Optimized for others Data retrieval Analysis Metadata tracking Project requirement

Bank Location: South side of creek Data Management Metadata Location GPS Information Notes Connor Road SiteID: ConnorRD Lat: 40.762 Long: -111.829 Elevation: 4914.698 Diameter: 30-inch Material: Concrete Bank Location: South side of creek VariableCode VariableName Speciation VariableUnitsID SampleMedium ValueType IsRegular TimeSupport TimeUnitsID DataType GeneralCategory NoDataValue UOFU01 Gage height Not Applicable 48 Surface Water Field Observation TRUE 1 102 Average Hydrology -9999 UOFU02 Velocity 113 UOFU03 Discharge 35

Data Management HydroServer Lite Website Slimmed down version of CUAHSI HydroServer in PHP Simplifies Analysis Data sharing Same discharge data as ODM SQL query to create data table

Data Management Database Queries Two Uses HydroServer Lite Website SWMM calibration

SWMM Model Calibration iUtah Project – Use Collected Data to Calibration SWMM model Created a simplified model to illustrate process

SWMM Model Calibration Specific SWMM element (node, link, or subcatchment) SELECT CONVERT(VARCHAR(10), LocalDateTime, 101) AS Day, CONVERT(VARCHAR(8), LocalDateTime, 108) AS Time, DataValue AS Value From Sites INNER JOIN DataValues ON Sites.SiteID = DataValues.SiteID INNER JOIN Variables ON DataValues.VariableID = Variables.VariableID INNER JOIN Units ON Variables.VariableUnitsID = Units.UnitsID Where Sites.SiteID = “SiteID” AND Units.UnitsID = 35 ORDER BY Day, Time ASC

SWMM Model Calibration Time Series Graph from Un-calibrated Model Time Series Graph from Calibrated Model

Conclusion Thank you! Questions?