Hydrologically Consistent Pruning of the High- Resolution National Hydrography Dataset to 1:24,000-scale

Size: px
Start display at page:

Download "Hydrologically Consistent Pruning of the High- Resolution National Hydrography Dataset to 1:24,000-scale"

Transcription

1 Hydrologically Consistent Pruning of the High- Resolution National Hydrography Dataset to 1:24,000-scale Lawrence V. Stanislawski 1, Ariel Doumbouya 2, Barbara P. Buttenfield 3, 1 Center for Excellence in Geospatial Information Science (CEGIS), United States Geological Survey (USGS), Rolla, Missouri, USA, lstan@usgs.gov 2 National Geospatial Program, Applied Research, USGS Denver CO atdoumbouya@usgs.gov 3 Department of Geography, University of Colorado-Boulder, USA, babs@colorado.edu 1

2 Problem: Drainage density variations in highresolution (HR) NHD are caused by natural conditions and compilation differences Virginia North Carolina Virginia North Carolina 2

3 Objective of hydrologic generalization: Estimate 1:24,000-scale (24K) density patterns from channels derived from a weighted flow accumulation (WFA) model Derive a natural density pattern of surface water channels (at 24K) that varies with terrain, runoff, soil permeability, soil depth, and ground water Derived 24K density patterns are used to generalize highresolution (HR) NHD to 24K and smaller scales (Radical Law) Advantages: Can eliminate compilation inconsistencies in HR NHD while maintaining natural variation Can identify missing or improper content in HR NHD by comparing 24K derived channels to HR NHD 3

4 Estimating Weight for Flow Accumulation RUNOFF SLOPE SOIL Permeability Rock Depth 4

5 Estimating Weights for Flow Accumulation: Base Flow Index Base flow is the component of streamflow that can be attributed to ground-water discharge into streams. The baseflow index (BFI) is the ratio of base flow to total flow, expressed as a percentage. 1-kilometer raster (grid) dataset for the conterminous United States was created by interpolating BFI values estimated at U.S. Geological Survey (USGS) stream gages. Wolock, D.M., 2003a, Flow characteristics at U.S. Geological Survey streamgages in the conterminous United States: U.S. Geological Survey Open-File Report , digital dataset, available on the World 5 Wide Web, accessed June 30, 2003, at URL

6 Weights for Flow Accumulation R a = R * p np * p nss. Runoff adjusted for loss to soil permeability (p np ) and soil saturation (p nss ). (Adjusted to range from 0 to 1, i.e. R a /max. R a ) R = mean annual runoff based on precipitation and evapotranspiration (Wolock and McCabe, 1999) p np = proportion of runoff not lost to permeability of saturated soil, which is estimated as 1 (soil permeability / maximum soil permeability) p nss = proportion of runoff not lost to soil saturation, which is estimated as 1 relative soil saturation potential (SSP), which is SSP/ maximum SSP SSP = relative soil saturation potential estimated from rock (or soil) depth / (1.50 * soil permeability). This rough estimate is based on Horton s (1940) equation for soil infiltration rate, using an initial (unsaturated) infiltration rate of twice the saturated soil infiltration rate, where soil permeability is the saturated soil infiltration rate. 6

7 Weight Refinements for local slope and base flow R s = R a * (slope in degrees / 90.0). Adjustment for local terrain conditions determined from 10-m National Elevation Dataset (NED) data. R s is used to compute weighted flow accumulation (WFA) for a subbasin from the flow direction grid (from 10-m NED). WFA BF = WFA / (1.0 BFI / 100.0). WFA is an estimate of stream flow potential without a ground water contribution. BFI = base flow index, which is an estimate of the percent of ground water contributing to stream flow. Stream channels are extracted from WFA BF. Horton, R.E., 1940, An approach towards a physical interpretation of infiltration capacity: Soils Science Society of America Proceedings, v. 5, p Wolock, D.M., 1993, Simulating the variable-source-area concept of streamflow generation with the watershed model TOPMODEL: U.S. Geological Survey Water-Resources Investigations Report , 33 p. Wolock DM and McCabe GJ, 1999, Estimates of runoff using water-balance and atmospheric general circulation models. Journal of the American Water Resources Association, 35(6):

8 30 Test subbasins distributed over six climate and slope conditions in the coterminous US Methods: Extract 24k drainage density pattern through weighted flow accumulation model. Parameters derived from 24k NHD flowline data (TL, NF, MLFT, Voids,canal/pipe distribution) Result reflect natural density variations without compilation differences. Compare extracted channels to 24K NHD flowlines, which may include compilation inconsistencies. Visual Metric (Coefficient of Line Correspondence or CLC) 8

9 30 Subbasins: Dry, MT Mizpah Average slope (deg): 6.0 St. Dev.: 5.6 Ave. runoff (mm/yr): 13.7 Total channel length (km):

10 30 Subbasins: Dry, MT

11 30 Subbasins: Humid, NC Upper Little Tennessee Ave. slope (deg): 20.8 St. Dev. (deg): 10.0 Ave. runoff (mm/yr): 1059 Tot. channel length (km): 3323 Subbasin CLC:

12 30 Subbasins: CLC Comparing Elevation-derived to 24K NHD: Terrain Slope Average CLC for all subbasins: 0.56 Subbasins with average slope <1 degree, CLC average 0.38; Subbasins with average slope >1 degree, CLC average 0.59 (Quality of elevation data affects extraction) 12

13 30 Subbasins: CLC Comparing Elevation-derived to 24K NHD: Terrain Slope First-order features average 0.40 CLC. Second and higher order average 0.80 CLC. 13

14 30 Subbasins: Comparision of first order features (ED vs 24k NHD) Sum of length of first order tributaries is about 10 percent longer on average in the 24k NHD than the ED channels. On average there are about 20 percent more first-order tributaries in the ED channels than in the 24k NHD. 14

15 Using 24K Density Pattern to Prune HR NHD Flowlines to 24K Derived 24k Density Pattern HR NHD Flowline Density Partitions HR NHD Flowlines Target Densities HR Flowlines Thinned to 24k Target Densities 15

16 Subregion 0710 HR Flowlines Pruned to Smaller Scales 16

17 Subregion 0710 HR Flowlines Pruned to Smaller Scales 17

18 Summary Statements for 30 Subbasin Study 1. Matches between 24K derived and NHD networks Average match about 56 percent (range 30 to 70). Most mismatching in first order channels, 40 percent average match. Second and higher order features match 80 percent on average. 20 percent more first order channels are derived than what exists in the 24K NHD, but first order NHD features are about 10 percent longer than derived first orders. Fewer matches are found in low slope areas. Less than 1 degree slope average match is 38 percent, whereas 59 percent matching found in higher slope subbasins. Higher resolution elevaton data may improve matching in low slope areas. 2. Automated conflation tools identify missing features, which can guide additions to HR NHD K density patterns derived from WFA model are sufficient to reduce the density of HR NHD flowlines in over-compiled areas to 24K and smaller scales. The pruning process maintains natural variations. Extraction from higher resolution (< 10m cells) elevation data may be needed for low slope areas, and consideration is needed for non-natural features (canals, pipes). 18

19 Future Work 1. Develop and test parallel processing workflow. 2. Possible model refinements: Use of NDVI to account vegetative cover on runoff in weight estimates. Use of terrain curvature to identify maximum extraction thresholds. Alternative depression filling algorithms. Alternative flow-direction algorithms (e.g. TauDem D-infinity). Adjust slope effect. 3. Compare to lidar-derived channels particularly in low-slope and braided channel areas. (e.g. GeoNET extraction) 4. Enhance workflow to automatically account for canal/ditch and pipeline features within 24k density patterns. 5. Test the use of NHDPlus flow-direction grid for possible reduction of processing time. 19

20 Thank you! Questions? 20

Multiscale Representations of Water: Tailoring Generalization Sequences to Specific Physiographic Regimes

Multiscale Representations of Water: Tailoring Generalization Sequences to Specific Physiographic Regimes Multiscale Representations of Water: Tailoring Generalization Sequences to Specific Physiographic Regimes Barbara P. Buttenfield 1, Lawrence V. Stanislawski 2, Cynthia A. Brewer 3 1 Department of Geography,

More information

Multiple Representations of Geospatial Data: A Cartographic Search for the Holy Grail?

Multiple Representations of Geospatial Data: A Cartographic Search for the Holy Grail? Multiple Representations of Geospatial Data: A Cartographic Search for the Holy Grail? Barbara P. Buttenfield University of Colorado Boulder Research Faculty Affiliate, USGS-CEGIS babs@colorado.edu 13

More information

An Open Source Solution to High Performance Processing for Extracting Surface Water Drainage Networks from Diverse Terrain Conditions

An Open Source Solution to High Performance Processing for Extracting Surface Water Drainage Networks from Diverse Terrain Conditions An Open Source Solution to High Performance Processing for Extracting Surface Water Drainage Networks from Diverse Terrain Conditions Lawrence V. Stanislawski, Kornelijus Survila, Jeffrey Wendel, Yan Liu,

More information

Place Still Matters: Generalizing the NHD by Local Terrain and Climate

Place Still Matters: Generalizing the NHD by Local Terrain and Climate Place Still Matters: Generalizing the NHD by Local Terrain and Climate Barbara Buttenfield, Geography, CU-Boulder Cynthia Brewer, Geography, Penn State E. Lynn Usery, USGS-CEGIS Research Assistants: Chris

More information

Assessment of a Rapid Approach for Estimating Catchment Areas for Surface Drainage Lines

Assessment of a Rapid Approach for Estimating Catchment Areas for Surface Drainage Lines Assessment of a Rapid Approach for Estimating Catchment Areas for Surface Drainage Lines U.S. Geological Survey Center of Excellence for Geospatial Information Science 1400 Independence Road, Rolla Missouri,

More information

Proceedings - AutoCarto Columbus, Ohio, USA - September 16-18, 2012

Proceedings - AutoCarto Columbus, Ohio, USA - September 16-18, 2012 Automated Metric Assessment of Line Simplification in Humid Landscapes Lawrence V. Stanislawski 1, Paulo Raposo 2, Michael Howard 1, and Barbara P. Buttenfield 3 1 Center for Excellence in Geospatial Information

More information

Lecture 3. Data Sources for GIS in Water Resources

Lecture 3. Data Sources for GIS in Water Resources Lecture 3 Data Sources for GIS in Water Resources GIS in Water Resources Spring 2015 http://www.data.gov/ 1 USGS GIS data for Water http://water.usgs.gov/maps.html Watersheds of the US 2-digit water resource

More information

A GIS-based Approach to Watershed Analysis in Texas Author: Allison Guettner

A GIS-based Approach to Watershed Analysis in Texas Author: Allison Guettner Texas A&M University Zachry Department of Civil Engineering CVEN 658 Civil Engineering Applications of GIS Instructor: Dr. Francisco Olivera A GIS-based Approach to Watershed Analysis in Texas Author:

More information

HYDROLOGIC AND WATER RESOURCES EVALUATIONS FOR SG. LUI WATERSHED

HYDROLOGIC AND WATER RESOURCES EVALUATIONS FOR SG. LUI WATERSHED HYDROLOGIC AND WATER RESOURCES EVALUATIONS FOR SG. LUI WATERSHED 1.0 Introduction The Sg. Lui watershed is the upper part of Langat River Basin, in the state of Selangor which located approximately 20

More information

USGS National Hydrography Dataset (NHD) and NHDPlus

USGS National Hydrography Dataset (NHD) and NHDPlus + 1 + USGS National Hydrography Dataset (NHD) and NHDPlus Al Rea USGS National Geospatial Program Western States Water Council August 1, 2018 + 2 USGS National Hydrography Datasets Hydrologic networks,

More information

Hydrography Webinar Series

Hydrography Webinar Series Hydrography Webinar Series Session 2 May 21, 2015 U.S. Department of the Interior U.S. Geological Survey U.S. GEOLOGICAL SURVEY HYDROGRAPHY WEBINAR SERIES Hosted by: Jeff Simley Al Rea Hydrography Webinar

More information

GIS in Water Resources Midterm Exam Fall 2012 There are five questions on this exam. Please do all five.

GIS in Water Resources Midterm Exam Fall 2012 There are five questions on this exam. Please do all five. Page 1 of 6 Name: Key GIS in Water Resources Midterm Exam Fall 2012 There are five questions on this exam. Please do all five. Question 1 (a) You have worked with the location of Utah State University

More information

A Simple Drainage Enforcement Procedure for Estimating Catchment Area Using DEM Data

A Simple Drainage Enforcement Procedure for Estimating Catchment Area Using DEM Data A Simple Drainage Enforcement Procedure for Estimating Catchment Area Using DEM Data David Nagel, John M. Buffington, and Charles Luce U.S. Forest Service, Rocky Mountain Research Station Boise Aquatic

More information

Creating Watersheds and Stream Networks. Steve Kopp

Creating Watersheds and Stream Networks. Steve Kopp Creating Watersheds and Stream Networks Steve Kopp Workshop Overview Demo Data Understanding the tools Elevation Data Types DEM : Digital Elevation Model bare Earth DSM : Digital Surface Model Data Structure

More information

USGS Hydrography Overview. May 9, 2018

USGS Hydrography Overview. May 9, 2018 + 1 USGS Hydrography Overview May 9, 2018 + 2 The National Geospatial Program Provides the geospatial baseline of the Nation s topography, natural landscape and built environment through The National Map,

More information

Lidar-derived Hydrography as a Source for the National Hydrography Dataset

Lidar-derived Hydrography as a Source for the National Hydrography Dataset Lidar-derived Hydrography as a Source for the National Hydrography Dataset Lidar-Derived Hydrography, Bathymetry, and Topobathymetry in the National Hydrography Dataset and 3-Dimensional Elevation Program

More information

Using NFHL Data for Hazus Flood Hazard Analysis: An Exploratory Study

Using NFHL Data for Hazus Flood Hazard Analysis: An Exploratory Study Andrea M. Jackman, Ph.D. ASFPM June 3, 2015 Using NFHL Data for Hazus Flood Hazard Analysis: An Exploratory Study What is Hazus? Hazus is FREE software distributed by FEMA Risk MAP which models structural

More information

Proceedings - AutoCarto Columbus, Ohio, USA - September 16-18, Effects of Iterative Spatial Filtering on DEM Data Structure

Proceedings - AutoCarto Columbus, Ohio, USA - September 16-18, Effects of Iterative Spatial Filtering on DEM Data Structure Effects of Iterative Spatial Filtering on DEM Data Structure Andrew J. Stauffer 1, Barbara P. Buttenfield 1, and Lawrence V. Stanislawski 2 1 Department of Geography, University of Colorado, Boulder, Colorado

More information

ENGRG Introduction to GIS

ENGRG Introduction to GIS ENGRG 59910 Introduction to GIS Michael Piasecki March 17, 2014 Lecture 08: Terrain Analysis Outline: Terrain Analysis Earth Surface Representation Contour TIN Mass Points Digital Elevation Models Slope

More information

Basin characteristics

Basin characteristics Basin characteristics From hydrological processes at the point scale to hydrological processes throughout the space continuum: point scale à river basin The watershed characteristics (shape, length, topography,

More information

Watershed Analysis of the Blue Ridge Mountains in Northwestern Virginia

Watershed Analysis of the Blue Ridge Mountains in Northwestern Virginia Watershed Analysis of the Blue Ridge Mountains in Northwestern Virginia Mason Fredericks December 6, 2018 Purpose The Blue Ridge Mountain range is one of the most popular mountain ranges in the United

More information

MODULE 7 LECTURE NOTES 5 DRAINAGE PATTERN AND CATCHMENT AREA DELINEATION

MODULE 7 LECTURE NOTES 5 DRAINAGE PATTERN AND CATCHMENT AREA DELINEATION MODULE 7 LECTURE NOTES 5 DRAINAGE PATTERN AND CATCHMENT AREA DELINEATION 1. Introduction Topography of the river basin plays an important role in hydrologic modelling, by providing information on different

More information

Development and Land Use Change in the Central Potomac River Watershed. Rebecca Posa. GIS for Water Resources, Fall 2014 University of Texas

Development and Land Use Change in the Central Potomac River Watershed. Rebecca Posa. GIS for Water Resources, Fall 2014 University of Texas Development and Land Use Change in the Central Potomac River Watershed Rebecca Posa GIS for Water Resources, Fall 2014 University of Texas December 5, 2014 Table of Contents I. Introduction and Motivation..4

More information

Hydrologic and Hydraulic Analyses Using ArcGIS

Hydrologic and Hydraulic Analyses Using ArcGIS Hydrologic and Hydraulic Analyses Using ArcGIS Two day training class Overview ArcGIS and Arc Hydro provide strong foundation for support of hydrologic and hydraulic (H&H) analyses. This two-day course

More information

ENGRG Introduction to GIS

ENGRG Introduction to GIS ENGRG 59910 Introduction to GIS Michael Piasecki November 17, 2017 Lecture 11: Terrain Analysis Outline: Terrain Analysis Earth Surface Representation Contour TIN Mass Points Digital Elevation Models Slope

More information

3D Elevation Program- Status and Updates. Oklahoma GI Council Meeting November 2, 2018 Claire DeVaughan US Geological Survey

3D Elevation Program- Status and Updates. Oklahoma GI Council Meeting November 2, 2018 Claire DeVaughan US Geological Survey + 1 3D Elevation Program- Status and Updates Oklahoma GI Council Meeting November 2, 2018 Claire DeVaughan US Geological Survey + 2 3D Elevation Program (3DEP) Goals Complete acquisition in 8 years Address

More information

GRAPEVINE LAKE MODELING & WATERSHED CHARACTERISTICS

GRAPEVINE LAKE MODELING & WATERSHED CHARACTERISTICS GRAPEVINE LAKE MODELING & WATERSHED CHARACTERISTICS Photo Credit: Lake Grapevine Boat Ramps Nash Mock GIS in Water Resources Fall 2016 Table of Contents Figures and Tables... 2 Introduction... 3 Objectives...

More information

GIS feature extraction tools in diverse landscapes

GIS feature extraction tools in diverse landscapes CE 394K.3 GIS in Water Resources GIS feature extraction tools in diverse landscapes Final Project Anna G. Kladzyk M.S. Candidate, Expected 2015 Department of Environmental and Water Resources Engineering

More information

Influence of spatial variation in precipitation on artificial neural network rainfall-runoff model

Influence of spatial variation in precipitation on artificial neural network rainfall-runoff model Hydrology Days 212 Influence of spatial variation in precipitation on artificial neural network rainfall-runoff model André Dozier 1 Department of Civil and Environmental Engineering, Colorado State University

More information

Designing a Dam for Blockhouse Ranch. Haley Born

Designing a Dam for Blockhouse Ranch. Haley Born Designing a Dam for Blockhouse Ranch Haley Born CE 394K GIS in Water Resources Term Paper Fall 2011 Table of Contents Introduction... 1 Data Sources... 2 Precipitation Data... 2 Elevation Data... 3 Geographic

More information

Digital Elevation Models. Using elevation data in raster format in a GIS

Digital Elevation Models. Using elevation data in raster format in a GIS Digital Elevation Models Using elevation data in raster format in a GIS What is a Digital Elevation Model (DEM)? Digital representation of topography Model based on scale of original data Commonly a raster

More information

12 SWAT USER S MANUAL, VERSION 98.1

12 SWAT USER S MANUAL, VERSION 98.1 12 SWAT USER S MANUAL, VERSION 98.1 CANOPY STORAGE. Canopy storage is the water intercepted by vegetative surfaces (the canopy) where it is held and made available for evaporation. When using the curve

More information

Evaluating Generalizations of Hydrography in Differing Terrains for The National Map of the United States

Evaluating Generalizations of Hydrography in Differing Terrains for The National Map of the United States Evaluating Generalizations of Hydrography in Differing Terrains for The National Map of the United States Cynthia Brewer, Pennsylvania State University Barbara Buttenfield, University of Colorado Boulder

More information

Workshop: Build a Basic HEC-HMS Model from Scratch

Workshop: Build a Basic HEC-HMS Model from Scratch Workshop: Build a Basic HEC-HMS Model from Scratch This workshop is designed to help new users of HEC-HMS learn how to apply the software. Not all the capabilities in HEC-HMS are demonstrated in the workshop

More information

KINEROS2/AGWA. Fig. 1. Schematic view (Woolhiser et al., 1990).

KINEROS2/AGWA. Fig. 1. Schematic view (Woolhiser et al., 1990). KINEROS2/AGWA Introduction Kineros2 (KINematic runoff and EROSion) (K2) model was originated at the USDA-ARS in late 1960s and released until 1990 (Smith et al., 1995; Woolhiser et al., 1990). The spatial

More information

George Mason University Department of Civil, Environmental and Infrastructure Engineering. Dr. Celso Ferreira Prepared by Lora Baumgartner

George Mason University Department of Civil, Environmental and Infrastructure Engineering. Dr. Celso Ferreira Prepared by Lora Baumgartner George Mason University Department of Civil, Environmental and Infrastructure Engineering Dr. Celso Ferreira Prepared by Lora Baumgartner Exercise Topic: Downloading Spatial Data Objectives: a) Become

More information

Objectives: After completing this assignment, you should be able to:

Objectives: After completing this assignment, you should be able to: Data Analysis Assignment #1 Evaluating the effects of watershed land use on storm runoff Assignment due: 21 February 2013, 5 pm Objectives: After completing this assignment, you should be able to: 1) Calculate

More information

Each basin is surrounded & defined by a drainage divide (high point from which water flows away) Channel initiation

Each basin is surrounded & defined by a drainage divide (high point from which water flows away) Channel initiation DRAINAGE BASINS A drainage basin or watershed is defined from a downstream point, working upstream, to include all of the hillslope & channel areas which drain to that point Each basin is surrounded &

More information

What s New in Topographic Information - USGS National Map

What s New in Topographic Information - USGS National Map + What s New in Topographic Information - USGS National Map SARGIS Workshop November 14, 2016 Rob Dollison, 703-648-5724 rdollison@usgs.gov + USGS 2 National Geospatial Program The National Geospatial

More information

Base Level Engineering FEMA Region 6

Base Level Engineering FEMA Region 6 Base Level Engineering Over the past five years, has been evaluating its investment approach and data preparation work flow to establish an efficient and effective change in operation, generating an approach

More information

The National Hydrography Dataset in the Pacific Region. U.S. Department of the Interior U.S. Geological Survey

The National Hydrography Dataset in the Pacific Region. U.S. Department of the Interior U.S. Geological Survey The National Hydrography Dataset in the Pacific Region U.S. Department of the Interior U.S. Geological Survey The National Map The National Map is built on partnerships and standards The National Map consists

More information

Appendix D. Model Setup, Calibration, and Validation

Appendix D. Model Setup, Calibration, and Validation . Model Setup, Calibration, and Validation Lower Grand River Watershed TMDL January 1 1. Model Selection and Setup The Loading Simulation Program in C++ (LSPC) was selected to address the modeling needs

More information

Sensitivity of Water Supply in the Colorado River Basin to Warming

Sensitivity of Water Supply in the Colorado River Basin to Warming Sensitivity of Water Supply in the Colorado River Basin to Warming Greg McCabe U.S. Geological Survey, Denver, Colorado Dave Wolock U.S. Geological Survey, Lawrence, Kansas The Colorado River Basin Streamgage

More information

WATER ON AND UNDER GROUND. Objectives. The Hydrologic Cycle

WATER ON AND UNDER GROUND. Objectives. The Hydrologic Cycle WATER ON AND UNDER GROUND Objectives Define and describe the hydrologic cycle. Identify the basic characteristics of streams. Define drainage basin. Describe how floods occur and what factors may make

More information

Design for multiscale topographic mapping with minimal generalization

Design for multiscale topographic mapping with minimal generalization Design for multiscale topographic mapping with minimal generalization Cynthia A. Brewer Department of Geography, Pennsylvania State University, University Park, PA, 16802, USA cbrewer@psu.edu Extended

More information

Lecture Outlines PowerPoint. Chapter 5 Earth Science 11e Tarbuck/Lutgens

Lecture Outlines PowerPoint. Chapter 5 Earth Science 11e Tarbuck/Lutgens Lecture Outlines PowerPoint Chapter 5 Earth Science 11e Tarbuck/Lutgens 2006 Pearson Prentice Hall This work is protected by United States copyright laws and is provided solely for the use of instructors

More information

INTRODUCTION TO HEC-HMS

INTRODUCTION TO HEC-HMS INTRODUCTION TO HEC-HMS Hydrologic Engineering Center- Hydrologic Modeling System US Army Corps of Engineers Hydrologic Engineering Center HEC-HMS Uses Schematics Enter properties: watershed, rivers (reaches),

More information

Land Cover and Soil Properties of the San Marcos Subbasin

Land Cover and Soil Properties of the San Marcos Subbasin Land Cover and Soil Properties of the San Marcos Subbasin Cody McCann EWRE Graduate Studies December 6, 2012 Table of Contents Project Background............................................................

More information

Impact of DEM Resolution on Topographic Indices and Hydrological Modelling Results

Impact of DEM Resolution on Topographic Indices and Hydrological Modelling Results Impact of DEM Resolution on Topographic Indices and Hydrological Modelling Results J. Vaze 1, 2 and J. Teng 1, 2 1 Department of Water and Energy, NSW, Australia 2 ewater Cooperative Research Centre, Australia

More information

Distinct landscape features with important biologic, hydrologic, geomorphic, and biogeochemical functions.

Distinct landscape features with important biologic, hydrologic, geomorphic, and biogeochemical functions. 1 Distinct landscape features with important biologic, hydrologic, geomorphic, and biogeochemical functions. Have distinguishing characteristics that include low slopes, well drained soils, intermittent

More information

A Cloud-Based Flood Warning System For Forecasting Impacts to Transportation Infrastructure Systems

A Cloud-Based Flood Warning System For Forecasting Impacts to Transportation Infrastructure Systems A Cloud-Based Flood Warning System For Forecasting Impacts to Transportation Infrastructure Systems Jon Goodall Associate Professor, Civil and Environmental Engineering Associate Director, Link Lab April

More information

DEVELOPMENT OF A LARGE-SCALE HYDROLOGIC PREDICTION SYSTEM

DEVELOPMENT OF A LARGE-SCALE HYDROLOGIC PREDICTION SYSTEM JP3.18 DEVELOPMENT OF A LARGE-SCALE HYDROLOGIC PREDICTION SYSTEM Ji Chen and John Roads University of California, San Diego, California ABSTRACT The Scripps ECPC (Experimental Climate Prediction Center)

More information

Drainage Area: GL, VPU: 04 - Release Notes. 12/01/2018 Updated and New Data

Drainage Area: GL, VPU: 04 - Release Notes. 12/01/2018 Updated and New Data Drainage Area: GL, VPU: 04 - Release Notes 12/01/2018 Updated and New Data Time of Travel and Related Attributes: The new and updated data is included in new versions of the NHDPlusAttributes and EROMExtension

More information

THE ROLE OF GEOCOMPUTATION IN THE HYDROLOGICAL SCIENCES

THE ROLE OF GEOCOMPUTATION IN THE HYDROLOGICAL SCIENCES INTERNATIONAL SYMPOSIUM ON GEOCOMPUTATION AND ANALYSIS THE ROLE OF GEOCOMPUTATION IN THE HYDROLOGICAL SCIENCES JOHN P. WILSON UNIVERSITY OF SOUTHERN CALIFORNIA GIS RESEARCH LABORATORY Outline Background

More information

GIS in Water Resources Exercise #4 Solution Prepared by Irene Garousi-Nejad and David Tarboton

GIS in Water Resources Exercise #4 Solution Prepared by Irene Garousi-Nejad and David Tarboton GIS in Water Resources Exercise 4 Solution Prepared by Irene Garousi-Nejad and David Tarboton 1. Cell length (N-S) in m, width (E-W) in m, area in m 2 for the DEM cells in the merged DEM. N-S y = R e φ

More information

4. GIS Implementation of the TxDOT Hydrology Extensions

4. GIS Implementation of the TxDOT Hydrology Extensions 4. GIS Implementation of the TxDOT Hydrology Extensions A Geographic Information System (GIS) is a computer-assisted system for the capture, storage, retrieval, analysis and display of spatial data. It

More information

Performance of Map Symbol and Label Design with Format and Display Resolution Options Through Scale for The National Map

Performance of Map Symbol and Label Design with Format and Display Resolution Options Through Scale for The National Map Performance of Map Symbol and Label Design with Format and Display Resolution Options Through Scale for The National Map Follow-up on AutoCarto 2011 talk Cynthia A. Brewer, Pennsylvania State University

More information

Introducing Iowa StreamStats Version 4, a Redesign of the USGS Application for Estimating Streamflow Stats

Introducing Iowa StreamStats Version 4, a Redesign of the USGS Application for Estimating Streamflow Stats Introducing Iowa StreamStats Version 4, a Redesign of the USGS Application for Estimating Streamflow Stats Presented at the 2016 Iowa Water Conference Ames, IA March 24, 2016 by David Eash U.S. Geological

More information

Performance of Map Symbol and Label Design with Format and Display Resolution Options Through Scale for The National Map

Performance of Map Symbol and Label Design with Format and Display Resolution Options Through Scale for The National Map Performance of Map Symbol and Label Design with Format and Display Resolution Options Through Scale for The National Map Cynthia A. Brewer, Pennsylvania State University Chelsea L. Hanchett, Penn State

More information

Rick Faber CE 513 Watershed and Streamwork Delineation Lab # 3 4/24/2006

Rick Faber CE 513 Watershed and Streamwork Delineation Lab # 3 4/24/2006 Rick Faber CE 513 Watershed and Streamwork Delineation Lab # 3 4/24/2006 1. Objective & Discussion: 2 To learn to use the ArcHydro tools to produce hydrologically descriptive data sets starting from a

More information

Improvement of the National Hydrography Dataset for Parts of the Lower Colorado Region and Additional Areas of Importance to the DLCC

Improvement of the National Hydrography Dataset for Parts of the Lower Colorado Region and Additional Areas of Importance to the DLCC Improvement of the National Hydrography Dataset for Parts of the Lower Colorado Region and Additional Areas of Importance to the DLCC Carlos Reyes-Andrade California State University, Northridge September

More information

Section 4: Model Development and Application

Section 4: Model Development and Application Section 4: Model Development and Application The hydrologic model for the Wissahickon Act 167 study was built using GIS layers of land use, hydrologic soil groups, terrain and orthophotography. Within

More information

GIS in Water Resources Midterm Exam Fall 2016 There are four questions on this exam. Please do all four. They are not all of equal weight.

GIS in Water Resources Midterm Exam Fall 2016 There are four questions on this exam. Please do all four. They are not all of equal weight. Page 1 of 7 Name: GIS in Water Resources Midterm Exam Fall 2016 There are four questions on this exam. Please do all four. They are not all of equal weight. Question 1. (20%) (a) Three key functions of

More information

A Detailed Examination of DTM Creation Methods and Sources. Study Area Overview

A Detailed Examination of DTM Creation Methods and Sources. Study Area Overview A Detailed Examination of DTM Creation Methods and Sources Adam Mosbrucker & Melinda Lamb Geography 593: Dec. 2 nd, 2010 Study Area Overview Mt. St. Helens -active volcano many eruptions in the past 30

More information

USING A GEOGRAPHIC INFORMATION SYSTEM TO PREDICT FLOW DURATION CURVES AT UNGAGED STREAM SITES IN GUAM

USING A GEOGRAPHIC INFORMATION SYSTEM TO PREDICT FLOW DURATION CURVES AT UNGAGED STREAM SITES IN GUAM USING A GEOGRAPHIC INFORMATION SYSTEM TO PREDICT FLOW DURATION CURVES AT UNGAGED STREAM SITES IN GUAM Dr. Leroy F. Heitz lheitz@triton.uog.edu Dr. Shahram Khosrowpanah khosrow@triton.uog.edu Water and

More information

6.1 Water. The Water Cycle

6.1 Water. The Water Cycle 6.1 Water The Water Cycle Water constantly moves among the oceans, the atmosphere, the solid Earth, and the biosphere. This unending circulation of Earth s water supply is the water cycle. The Water Cycle

More information

Prentice Hall EARTH SCIENCE

Prentice Hall EARTH SCIENCE Prentice Hall EARTH SCIENCE Tarbuck Lutgens Running Water and Groundwater Running Water The Water Cycle Water constantly moves among the oceans, the atmosphere, the solid Earth, and the biosphere. This

More information

A Temporal Hydrologic Database for Rapidly Changing Landscapes

A Temporal Hydrologic Database for Rapidly Changing Landscapes A Temporal Hydrologic Database for Rapidly Changing Landscapes Using Mt. St. Helens in Washington as a Pilot Site Adam Mosbrucker Geog 575 BACKGROUND: Client / User U.S. Geological Survey Cascades Volcano

More information

Flood Hazard Inundation Mapping. Presentation. Flood Hazard Mapping

Flood Hazard Inundation Mapping. Presentation. Flood Hazard Mapping Flood Hazard Inundation Mapping Verne Schneider, James Verdin, and JeradBales U.S. Geological Survey Reston, VA Presentation Flood Hazard Mapping Requirements Practice in the United States Real Time Inundation

More information

Surface Processes Focus on Mass Wasting (Chapter 10)

Surface Processes Focus on Mass Wasting (Chapter 10) Surface Processes Focus on Mass Wasting (Chapter 10) 1. What is the distinction between weathering, mass wasting, and erosion? 2. What is the controlling force in mass wasting? What force provides resistance?

More information

Model Integration - How WEPP inputs are calculated from GIS data. ( ArcGIS,TOPAZ, Topwepp)

Model Integration - How WEPP inputs are calculated from GIS data. ( ArcGIS,TOPAZ, Topwepp) Model Integration - How WEPP inputs are calculated from GIS data. ( ArcGIS,TOPAZ, Topwepp) ArcGIS 9.1-9.3 Allows user to locate area of interest, assemble grids, visualize outputs. TOPAZ Performs DEM

More information

Modeling the Effects of Climate and Land Cover Change in the Stoney Brook Subbasin of the St. Louis River Watershed

Modeling the Effects of Climate and Land Cover Change in the Stoney Brook Subbasin of the St. Louis River Watershed Modeling the Effects of Climate and Land Cover Change in the Stoney Brook Subbasin of the St. Louis River Watershed Joe Johnson and Jesse Pruette 214 NASA Research Internship Geospatial Technologies Program

More information

Date of Report: EPA agreement number: Center Name and Institution of Ctr. Director: Identifier used by Center for Project: Title of Project:

Date of Report: EPA agreement number: Center Name and Institution of Ctr. Director: Identifier used by Center for Project: Title of Project: Date of Report: March 31, 2003 EPA agreement number: R829515C003 Center Name and Institution of Ctr. Director: Rocky Mountain Regional Hazardous Substance Research Center, Colorado State University, Fort

More information

How to integrate wetland processes in river basin modeling? A West African case study

How to integrate wetland processes in river basin modeling? A West African case study How to integrate wetland processes in river basin modeling? A West African case study stefan.liersch@pik-potsdam.de fred.hattermann@pik-potsdam.de June 2011 Outline Why is an inundation module required?

More information

IMPACT OF CLIMATE CHANGE OVER THE ARABIAN PENINSULA

IMPACT OF CLIMATE CHANGE OVER THE ARABIAN PENINSULA IMPACT OF CLIMATE CHANGE OVER THE ARABIAN PENINSULA By: Talal Alharbi June, 29 2017 1 Motivation: In arid and semi-arid regions of the world the demand for fresh water resources is increasing due to: increasing

More information

GeoFlood: large scale flood inundation mapping based on high resolution terrain analysis

GeoFlood: large scale flood inundation mapping based on high resolution terrain analysis 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 GeoFlood: large scale flood inundation mapping based on high resolution terrain analysis Xing Zheng 1, David R. Maidment 1, David G. Tarboton 2, Yan Y. Liu

More information

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 1, No 4, 2011

INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 1, No 4, 2011 Detection of seafloor channels using Bathymetry data in Geographical Information Systems Kundu.S.N, Pattnaik.D.S Department of Geology, Utkal University, Vanivihar, Bhubaneswar. Orissa. snkundu@gmail.com

More information

Using Remote Sensing to Analyze River Geomorphology

Using Remote Sensing to Analyze River Geomorphology Using Remote Sensing to Analyze River Geomorphology Seeing Water from Space Workshop August 11 th, 2015 George Allen geoallen@unc.edu Rivers impact: Geology Ecology Humans The atmosphere River Geomorphology

More information

Existing NWS Flash Flood Guidance

Existing NWS Flash Flood Guidance Introduction The Flash Flood Potential Index (FFPI) incorporates physiographic characteristics of an individual drainage basin to determine its hydrologic response. In flash flood situations, the hydrologic

More information

Figure 0-18: Dendrogeomorphic analysis of streambank erosion and floodplain deposition (from Noe and others, 2015a)

Figure 0-18: Dendrogeomorphic analysis of streambank erosion and floodplain deposition (from Noe and others, 2015a) Appendix 9A: Stream to River During the development of the Phase 6 Watershed Model, multiple methods for determining coefficients were often attempted. In some cases, the methods are averaged or otherwise

More information

Data Repository. Spatiotemporal trends in erosion rates across a pronounced rainfall gradient: examples from the south central Andes

Data Repository. Spatiotemporal trends in erosion rates across a pronounced rainfall gradient: examples from the south central Andes Data Repository Spatiotemporal trends in erosion rates across a pronounced rainfall gradient: examples from the south central Andes Bodo Bookhagen 1 and Manfred R. Strecker 2 1 Geography Department, Ellison

More information

Height Above Nearest Drainage in Houston THE UNIVERSITY OF TEXAS AT AUSTIN

Height Above Nearest Drainage in Houston THE UNIVERSITY OF TEXAS AT AUSTIN Height Above Nearest Drainage in Houston THE UNIVERSITY OF TEXAS AT AUSTIN Jeff Yuanhe Zheng GIS in Water Resources December 2 nd, 2016 Table of Contents 1.0 Introduction... 1 2.0 Project Objective...

More information

Delineation of Watersheds

Delineation of Watersheds Delineation of Watersheds Adirondack Park, New York by Introduction Problem Watershed boundaries are increasingly being used in land and water management, separating the direction of water flow such that

More information

An Information Model for Maps: Towards Cartographic Production from GIS Databases

An Information Model for Maps: Towards Cartographic Production from GIS Databases An Information Model for s: Towards Cartographic Production from GIS Databases Aileen Buckley, Ph.D. and Charlie Frye Senior Cartographic Researchers, ESRI Barbara Buttenfield, Ph.D. Professor, University

More information

High Resolution Indicators for Local Drought Monitoring

High Resolution Indicators for Local Drought Monitoring High Resolution Indicators for Local Drought Monitoring REBECCA CUMBIE, STATE CLIMATE OFFICE OF NC, NCSU Monitoring Drought Multiple indicators, multiple sources Local detail important 1 Point-Based Climate-Division

More information

Table (6): Annual precipitation amounts as recorded by stations X and Y. No. X Y

Table (6): Annual precipitation amounts as recorded by stations X and Y. No. X Y Example: X and Y are two neighboring rainfall stations. Station X has complete records and station Y has some missing values. Find the linear correlation equation between the two series as mentioned in

More information

StreamStats: Delivering Streamflow Information to the Public. By Kernell Ries

StreamStats: Delivering Streamflow Information to the Public. By Kernell Ries StreamStats: Delivering Streamflow Information to the Public By Kernell Ries U.S. Department of the Interior U.S. Geological Survey MD-DE-DC District 410-238-4317 kries@usgs.gov StreamStats Web Application

More information

EXTRACTING HYDROLOGIC INFORMATION FROM SPATIAL DATA

EXTRACTING HYDROLOGIC INFORMATION FROM SPATIAL DATA EXTRACTING HYDROLOGIC INFORMATION FROM SPATIAL DATA FOR HMS MODELING By Francisco Olivera, 1 P.E., Associate Member, ASCE ABSTRACT: A methodology is presented for extracting topographic, topologic, and

More information

Watershed Modeling With DEMs

Watershed Modeling With DEMs Watershed Modeling With DEMs Lesson 6 6-1 Objectives Use DEMs for watershed delineation. Explain the relationship between DEMs and feature objects. Use WMS to compute geometric basin data from a delineated

More information

Geog Lecture 19

Geog Lecture 19 Geog 1000 - Lecture 19 Fluvial Geomorphology and River Systems http://scholar.ulethbridge.ca/chasmer/classes/ Today s Lecture (Pgs 346 355) 1. What is Fluvial Geomorphology? 2. Hydrology and the Water

More information

Which map shows the stream drainage pattern that most likely formed on the surface of this volcano? A) B)

Which map shows the stream drainage pattern that most likely formed on the surface of this volcano? A) B) 1. When snow cover on the land melts, the water will most likely become surface runoff if the land surface is A) frozen B) porous C) grass covered D) unconsolidated gravel Base your answers to questions

More information

River Processes. Drainage Basin Morphometry

River Processes. Drainage Basin Morphometry Drainage Basin Morphometry River Processes Morphometry - the measurement and mathematical analysis of the configuration of the earth s surface and of the shape and dimensions of its landforms. Horton (1945)

More information

Evaluation of Map Symbols by Screen Resolution and File Format Through Scale

Evaluation of Map Symbols by Screen Resolution and File Format Through Scale Evaluation of Map Symbols by Screen Resolution and File Format Through Scale Cynthia Brewer and Chelsea Hanchett, Penn State Barbara Buttenfield, Boulder Lawrence Stanislawski, CEGIS Penn State Research

More information

What's New with NHDPlus (Classic)?

What's New with NHDPlus (Classic)? What's New with NHDPlus (Classic)? 1987 Reach File Version 1 2017 - NHDPlus Annie Mejaes EPA, Office of Water 2 Overview NHD-NHDPlus Basics Evolving NHD-NHDPlus Data and Tools Training and Support The

More information

Introduction Fluvial Processes in Small Southeastern Watersheds

Introduction Fluvial Processes in Small Southeastern Watersheds Introduction Fluvial Processes in Small Southeastern Watersheds L. Allan James Scott A. Lecce Lisa Davis Southeastern Geographer, Volume 50, Number 4, Winter 2010, pp. 393-396 (Article) Published by The

More information

The Rio Chagres: A Multidisciplinary Profile of a Tropical Watershed. GIS-based Stream Network Analysis for The Chagres Basin, Republic of Panama

The Rio Chagres: A Multidisciplinary Profile of a Tropical Watershed. GIS-based Stream Network Analysis for The Chagres Basin, Republic of Panama The Rio Chagres: A Multidisciplinary Profile of a Tropical Watershed R. Harmon (Ed.), Springer/Kluwer, p.83-95 GIS-based Stream Network Analysis for The Chagres Basin, Republic of Panama David Kinner 1,2,

More information

Forest Hydrology: Lect. 9. Contents. Runoff, soil water and infiltration

Forest Hydrology: Lect. 9. Contents. Runoff, soil water and infiltration Forest Hydrology: Lect. 9 Contents Runoff, soil water and infiltration Learning objectives:. - Hillslope runoff generation processes; - Dynamics of runoff generation processes; - Hortonian and Dunnian

More information

A Near Real-time Flood Prediction using Hourly NEXRAD Rainfall for the State of Texas Bakkiyalakshmi Palanisamy

A Near Real-time Flood Prediction using Hourly NEXRAD Rainfall for the State of Texas Bakkiyalakshmi Palanisamy A Near Real-time Flood Prediction using Hourly NEXRAD for the State of Texas Bakkiyalakshmi Palanisamy Introduction Radar derived precipitation data is becoming the driving force for hydrological modeling.

More information

Earth Science Physical Setting Relationship Review Sketch all graphs in pencil For a uniform material. Density. Average Temperature

Earth Science Physical Setting Relationship Review Sketch all graphs in pencil For a uniform material. Density. Average Temperature except water Water For a uniform material Volume For a uniform material Volume (cm3) 0 4 10 Volume (cm3) ( C) 0 4 5 90 0 4 5 90 Distance Between Isolines Latitude ( N) Latitude ( N) Number of Isolines

More information

River Modeling as Big as Texas. Cédric H. David David R. Maidment, Zong-Liang Yang

River Modeling as Big as Texas. Cédric H. David David R. Maidment, Zong-Liang Yang River Modeling as Big as Texas Cédric H. David David R. Maidment, Zong-Liang Yang First Water Forum Austin, TX 13 February 2012 1 Atmospheric modeling Equations of fluid mechanics and thermodynamics of

More information