Data and Model Driven Hydrology Education > List of Steps

What is a Step?

A step includes a set of instructions to perform a specific activity. For example, instructions for getting a time series of streamflow is a step. Similarly, plotting the streamflow hydrograph in Excel is a step. Separating baseflow from the streamflow hydrograph is a step. Each step has some input and output. For example, the baseflow separation step cannot be performed without an input streamflow hydrograph to create an output including the direct runoff hydrograph and the baseflow. Similarly, the streamflow hydrograph step cannot be performed without getting the streamflow data. The input and output structure associated with each step enables their use with other steps in more than one Unit. This page contains the list of existing steps available in the system.

List of all Steps



Help

Results 1 - 20 of 44 matches

Earthquakes in Pennsylvania
Tao Wen, Pennsylvania State University-Main Campus
Another environmental concern regarding shale gas development is induced seismicity. In this section of the module, you will learn how to tell if a seismic event in Pennsylvania is caused by mining activity, or if ...

How Pennsylvania Disposes of Brines Safely
Tao Wen, Pennsylvania State University-Main Campus
We will explore the PA Oil and Gas Mapping tool in this portion of the exercise. For this module, you will learn how to query data, use basic functions and extract data. You will also be shown how to specifically ...

Bromide in the Allegheny River System
Tao Wen, Pennsylvania State University-Main Campus
Before April 2011, it was acceptable to discharge Marcellus brines into rivers. Therefore, brines were discharged to some PA rivers through publicly operated treatment works (POTW) and industrial waste plants ...

Extract Earth Observations using HydroGlobe
Venkatesh Merwade, Purdue University-Main Campus
The objective of this step is to download MODIS evapotranspiration data for a geographic region. This step is created for some testing purposes and should not be used for any instruction at this point.

Creating a Time Series Plot in Excel
Purpose The purpose of this module is to demonstrate how to create a time-series plot using MS Excel. The module is developed by using USGS streamflow data as an example, but the same process can be followed for ...

Downloading NCDC Climate Data from Internet into a Text File
PurposeThe purpose of this exercise to demonstrate the steps involved in downloading climate (precipitation and temperature) data from the National Climatic Data Center (NCDC). The lesson is developed by using a ...

Introduction to Flood Frequency Analysis
Siddharth Saksena, Purdue University-Main Campus
The objective of this step is to familiarize students with the concept of flood frequency analysis. After reading the information provided in this step, the students will be able to understand the importance of ...

Flood Frequency Analysis using RWater
Adnan Rajib, Purdue University-Main Campus
Flood Frequency Analysis involves large amount of calculation and data processing, requiring significant level of understanding of the process and expertise. This module introduces RWater - an interactive online ...

Downloading Annual Peak Streamflow Data from USGS
Siddharth Saksena, Purdue University-Main Campus
This step demonstrates how to download the United States Geological Survey's (USGS) annual peak streamflow data recorded at a USGS gauging station in the United States. In this step, the students will use the ...

Plotting the Flood Frequency Curve using Gumbel Distribution
Siddharth Saksena, Purdue University-Main Campus
The objective of this step is to make the students familiar with the concept of flood frequency analysis. This step assumes that the user already has information on the peak streamflow data for a USGS gauge ...

Data Download
Natalie Nelson, University of Florida
Download temperature, dissolved oxygen, and water level data from three reaches (upstream, transitional, estuarine) of the St. Johns River, FL, USA using CUAHSI HydroClient.

Open and use a Jupyter notebook
Natalie Nelson, University of Florida
All data analysis will be performed using a cloud-based Jupyter Notebook that was created for this assignment. The Jupyter Notebook is accessed through GitHub from the command line.

Data Management
Natalie Nelson, University of Florida
Students will organize data in a format that allows for data manipulation and analysis using a programming language, such as Python or R.

Explore the data by creating graphs of discharge and water isotopes
Anne Jefferson, Kent State University-Main Campus
Using data downloaded from Hydroclient, you will create graphs that show discharge in the West Branch of the Mahoning River at Jenning's Woods, precipitation, and isotopes. The step-by-step instructions are ...

Calculate the amount of new event water in the stream at each time point using isotope and discharge data
Anne Jefferson, Kent State University-Main Campus
Using the products of previous steps, you will use a two end-member mixing model to separate the hydrograph of the West Branch of the Mahoning River for the event that occurred April 3-6, 2014.

Discover and download discharge, precipitation, and isotope data for Jenning's Woods using Hydroclient
Anne Jefferson, Kent State University-Main Campus
Using Hydroclient, you will find the data that was collected at the Jenning's Woods field site over the course of three precipitation events in March-April 2014. You will also discover precipitation data from ...

Identify appropriate endmember compositions for hydrograph separation
Anne Jefferson, Kent State University-Main Campus
Using data downloaded from Hydroclient and graphs made in the previous step, you will make decisions about the appropriate new water and old water endmembers for separating the hydrograph of the event that occurred ...

Constructing a data-driven rainfall-runoff model
Tianfang Xu, University of Illinois at Urbana-Champaign
In this step, students will be instructed to execute the provided sample MATLAB codes ddm.m. Next, students will learn to evaluate the performance of constructed rainfall-runoff models.

Autocorrelation analysis of rainfall-runoff data
Tianfang Xu, University of Illinois at Urbana-Champaign
The goal of this unit is to build a model to simulate stream discharge. In this step, we will explore what are important factors that affect discharge.

Visualization of rainfall-runoff time series data
Tianfang Xu, University of Illinois at Urbana-Champaign
In this step, students will perform basic time series plotting using tools of choice, such as Excel, MATLAB or R.

1 2 3 Next»