Physical Properties of Rivers: Querying Metadata and Discharge Data


Authors:
Owners:
Resource type: Composite Resource
Storage: The size of this resource is 1.7 MB
Created: Jan 28, 2021 at 10:50 p.m.
Last updated: Jan 29, 2021 at 10:21 p.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 68
Downloads: 137
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

Physical Properties of Rivers: Querying Metadata and Discharge Data

This lesson was adapted from educational material written by Dr. Kateri Salk for her Fall 2019 Hydrologic Data Analysis course at Duke University. This is the second part of a two-part exercise focusing on the physical properties of rivers.

Introduction

Rivers are bodies of freshwater flowing from higher elevations to lower elevations due to the force of gravity. One of the most important physical characteristics of a stream or river is discharge, the volume of water moving through the river or stream over a given amount of time. Discharge can be measured directly by measuring the velocity of flow in several spots in a stream and multiplying the flow velocity over the cross-sectional area of the stream. However, this method is effort-intensive. This exercise will demonstrate how to approximate discharge by developing a rating curve for a stream at a given sampling point. You will also learn to query metadata from and compare discharge patterns in climatically different regions of the United States.

Learning Objectives

After successfully completing this exercise, you will be able to:

1. Execute queries to pull a variety of National Water Information System (NWIS) and Water Quality Portal (WQP) data into R.
2. Analyze seasonal and interannual characteristics of stream discharge and compare discharge patterns in different regions of the United States

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Content

README.md

Physical Properties of Rivers: Querying Metadata and Discharge Data

This lesson was adapted from educational material written by Dr. Kateri Salk for her Fall 2019 Hydrologic Data Analysis course at Duke University. This is the second part of a two-part exercise focusing on the physical properties of rivers.

Introduction

Rivers are bodies of freshwater flowing from higher elevations to lower elevations due to the force of gravity. One of the most important physical characteristics of a stream or river is discharge, the volume of water moving through the river or stream over a given amount of time. Discharge can be measured directly by measuring the velocity of flow in several spots in a stream and multiplying the flow velocity over the cross-sectional area of the stream. However, this method is effort-intensive. This exercise will demonstrate how to approximate discharge by developing a rating curve for a stream at a given sampling point.You will also learn to query metadata from and compare discharge patterns in climatically different regions of the United States.

Learning Objectives

After successfully completing this exercise, you will be able to:

  1. Execute queries to pull a variety of National Water Information System (NWIS) and Water Quality Portal (WQP) data into R.

  2. Analyze seasonal and interannual characteristics of stream discharge and compare discharge patterns in different regions of the United States

Requirements to Complete Lesson

Packages

This lesson requires the installation of the following R packages to run the provided script:

  • tidyverse- Version 1.3.0. A collection of R packages designed for data science.

  • lubridate- Version 1.7.9. Functions for working with dates/times.

  • ggplot2- Version 3.3.3. Creates elegant data visualisations using the Grammar of Graphics.

  • scales- Version 1.1.1. Graphical scales provide methods for automatically determining breaks and labels for axes and legends.

  • repr- Version 1.1.0. String and binary representations of objects for several formats/mime types.

  • cowplot- Version 1.1.1. Provides various features that help with creating publication-quality figures with 'ggplot2', such as a set of themes, functions to align plots and arrange them into complex compound figures, and functions that make it easy to annotate plots and or mix plots with images.

  • dataRetrieval- Version 2.7.6. Retrieval Functions for USGS and EPA Hydrologic and Water Quality Data.

Data and Code

This lesson will import metadata and discharge data using the dataRetrieval package. The package was created to make querying and downloading hydrologic data from the USGS National Water Information System (NWIS) and the multi-agency database, Water Quality Portal (WQP). NWIS only contains data collected by or for the USGS. It should be noted that the databases are not static as data is constantly being added. For more in-depth information on the dataRetrieval package, please visit:

https://cran.r-project.org/web/packages/dataRetrieval/vignettes/dataRetrieval.html.

This exercise will analyze data from the following rivers/streams:

  • Haw River in North Carolina

  • Verde River in Arizona

  • Bitterroot River in Montana

  • Sauk River in Minnesota

  • Nehalem River in Oregon

The code provided in this resource was developed using R version 3.6.1.

How to Cite

Garcia, G., K. Salk (2021). Physical Properties of Rivers: Querying Metadata and Discharge Data, HydroShare, http://www.hydroshare.org/resource/20dc4af8451e44b3950b182a8f506296

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required