# 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

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Downloading NCDC Climate Data from Internet into a Text File

Purpose The 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 ...

Stationary and nonstationary behavior

Jasmine Gregory, North Carolina State University

Stationarity and nonstationarity are terms you may have encountered previously if you've taken water or climate related courses and are important for understanding changes in the Earth System. But what do ...

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 ...

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 ...

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 ...

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 ...

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 ...

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.

Calculating the Total Annual Precipitation

Nikhil Sangwan, Purdue University-Main Campus

The objective of this step is to calculate the total annual depth of precipitation from a given precipitation time series . We have used the 15 minutes interval historical precipitation data, recorded at the ...

Estimating the Total Annual Evapotranspiration depth using the Annual Watershed Balance concept

Nikhil Sangwan, Purdue University-Main Campus

The objective of this step is to estimate the total annual evapotranspiration depth in the study area by applying the law of mass conservation in the watershed. Using a simple bucket model, the change in watershed ...

Downloading Climate Data from the National Climatic Data Center (NCDC)

Venkatesh Merwade, Purdue University-Main Campus

This step demonstrates how to use the National Climatic Data Center's (NCDC) web interface to get 15 minutes interval historical precipitation data for a climate station in the United States. This step is ...

Computing Excess Rainfall Hyetograph using SCS CN Method

Introduction The objective of this step is to learn how to compute excess rainfall hyetograph from a total rainfall hyetograph using the Soil Conservation Service's (SCS) Curve Number (CN) method. This steps ...

Computing Excess Rainfall using Phi Index (Constant Loss) Method

Introduction The objective of this step is to learn how to compute excess rainfall hyetograph from a total rainfall hyetograph using constant loss or the phi index. This steps assumes that the user already has a ...

Derivation of Unit Hydrograph

Introduction This spreadsheet based step demonstrates the derivation of unit hydrograph by using the excess rainfall and direct runoff data from a single historical storm event.The intended audience for this step ...

Baseflow Separation Using Straight Line Method

Introduction This step demonstrates the use of straight line method to separate baseflow from a streamflow hydrograph by using data for a single storm event. This step is developed for a storm event at Hall Creek ...

Application of Unit Hydrograph to Derive Direct Runoff Hydrograph

Application of Unit Hydrograph to Derive Runoff Hydrograph Introduction The objective of this step is to learn how to use a unit hydrograph to derive a runoff hydrograph. To use this step, the user need to have ...

Developing a Rational Method Hydrograph Model for the Urban Desert Southwest USA

Venkatesh Merwade, Purdue University-Main Campus

This spreadsheet based stormwater hydrograph modeling module applies the widely utilized Rational Method to estimate hydrographs and flooding for urban watersheds. The specific structure of the model is based on ...

Baseflow Separation Using Recession Method

Introduction The objective of this step is to learn how to separate baseflow from a total streamflow hydrograph by using a simple recession method. This steps assumes that the user already has a total streamflow ...

Periodic behavior

Jasmine Gregory, North Carolina State University

Time series data often exhibit cyclical behavior. One example is the regular shift between dry and wet seasons in many areas of the world. Such behavior is often referred to as seasonality or periodic behavior. In ...

Detection of Land Use Change in Floodplains Using Web-based Python Programming

Qianjin Zheng, Adnan Rajib, Corando Gallegos, Kurtis Kuypers, and Tamara Guillen, The H2I (Hydrology & Hydroinformatics Innovation) Lab, Department of Environmental Engineering, Texas A & M University, Kingsville
This tutorial was developed through a classroom cybertraining experiment at the Texas A & M University, Kingsville. A team of seven graduate students developed this tutorial during their participation in EVEN6340: Decision Sciences For Environmental Systemsāˇ¼ a graduate level course. The course was offered by Dr. Adnan Rajib in Fall 2020.
Contact: adnan.rajib@tamuk.edu

Human interventions are increasingly altering the world's floodplains. With the advances in remotely sensed earth observations and geoinformatics, we are now able to assess floodplain alterations by estimating ...