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Chemical Properties of Rivers: Impacts of Mining on Specific Conductance and pH


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Created: Jan 28, 2021 at 9:59 p.m.
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Abstract

Chemical Properties of Rivers: Impacts of Mining on Specific Conductance and pH

This lesson was adapted from educational material written by Dr. Kateri Salk and Cathy Chamberlin for the Fall 2019 Hydrologic Data Analysis course at Duke University.

Introduction

The hydrologic impacts on mining can cause cause damage to a landscape in an area much larger than the mining site itself. Water-pollution problems caused by mining include acid mine drainage, metal contamination, and increased sediment levels. The devastating effects of mining impact fisheries, swimming, domestic water supply, irrigation, and other uses of streams. For more information on the environmental impacts of mining, please visit http://www.pollutionissues.com/Li-Na/Mining.html#ixzz6jGlfrX9m

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 inorganic aspects of water quality following a watershed disturbance such as mining.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
West Virginia
North Latitude
38.8231°
East Longitude
-80.2818°
South Latitude
37.3949°
West Longitude
-82.9285°

Temporal

Start Date:
End Date:

Content

README.md

Chemical Properties of Rivers: Impacts of Mining on Specific Conductance and pH

This lesson was adapted from educational material written by Dr. Kateri Salk for her Fall 2019 Hydrologic Data Analysis course at Duke University.

Introduction

The hydrologic impacts on mining can cause cause damage to a landscape in an area much larger than the mining site itself. Water-pollution problems caused by mining include acid mine drainage, metal contamination, and increased sediment levels. The devastating effects of mining impact fisheries, swimming, domestic water supply, irrigation, and other uses of streams. For more information on the environmental impacts of mining, please visit:

http://www.pollutionissues.com/Li-Na/Mining.html#ixzz6jGlfrX9m

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 inorganic aspects of water quality following a watershed disturbance such as mining.

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.

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

  • 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.

Data and Code

This lesson will import water quality data for two rivers in West Virginia, Twelvepole Creek and Kanawha River, for the entire period of record 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) easier. NWIS contains streamflow, peak flow, rating curves, groundwater, and water quality data data collected by or for the USGS. WQP only contains water quality data.

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.

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

How to Cite

Garcia, G., K. Salk, C. Chamberlin (2021). Chemical Properties of Rivers: Impacts of Mining on Specific Conductance and pH, HydroShare, http://www.hydroshare.org/resource/106b934d0e4f40c98ba10b9fea773db5

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

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

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