Automatic Identification and Mapping of Global Floodplains in A Web Browser
Adnan Rajib, The University of Texas at Arlington
Floods have become more frequent worldwide throughout the years as human influence and climate change have increasingly altered the environment1,2. With increasing awareness against flood hazards, there has been a ...

Assess Climate Change Trends Anywhere in the World Using a Web-based Python Tool
Adnan Rajib, The University of Texas at Arlington
The world's climate is changing rapidly. Future projections suggest frequent large storms and prolonged dry spells, increasing human exposures to flooding and drought1. With the recent advances in weather and ...

Forecasting River Discharge and Runoff with a Python-based Statistical Machine Learning Tool
Adnan Rajib, The University of Texas at Arlington
In the face of an uncertain climate and increasing extreme weather events, it is challenging to predict river discharge and surface runoff. Efficient forecasting helps all aspects of watershed management, including ...

Creating a Time Series Plot in Excel
Tutorial page demonstrating how to create a time-series plot in Microsoft Excel using USGS streamflow data, covering data selection, scatter plot generation with smooth lines, and formatting axes, titles, and legends for professional visualization. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Downloading NCDC Climate Data from Internet into a Text File
Tutorial page detailing step-by-step instructions for downloading NCDC climate data (precipitation and temperature) via the GIS portal, using a station in Indiana as an example, and saving it as a text file for hydrological analysis. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

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 ...

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.

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.

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 ...

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 ...

Create a graph of turbidity and precipitation and answer data analysis questions
Sharon Dykhoff, Washington D.C. Metro Area - ‎Science Teacher at Dominion Christian School - ‎Dominion Christian School, Susan Brantley, The Pennsylvania State University
Students will graph turbidity and precipitation in Larry's Creek Watershed and identify an area in the graph where turbidity is not caused by rain and is most likely cause by a nearby natural gas drilling leak.

Detection of Land Use Change in Floodplains Using Web-based Python Programming
Qianjin Zheng1, Adnan Rajib1, Corando Gallegos2, Kurtis Kuypers2, and Tamara Guillen2 1The H2I (Hydrology & Hydroinformatics Innovation) Lab, Department of Civil Engineering, University of Texas at Arlington 2Department 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 Systems⎼ a graduate level course. The course was offered by Dr. Adnan Rajib in Fall 2020. Contact: adnan.rajib@uta.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 ...

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 ...

Downloading Discharge and Precipitation Data from HydroClient and Interpreting it with Graphs in Excel
Liza Brazil, Consortium of Universities for the Advancement of Hydrologic Science, Inc
The following step demonstrates how to use the HydroClient web interface to get time series data for discharge and precipitation from multiple data sources located near Lake Tahoe, CA during 2012. The procedure to ...

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 ...

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
Educational step page detailing how to compute excess rainfall hyetographs using the SCS Curve Number method in Excel, covering rainfall abstractions, conceptual and practical learning outcomes, data inputs/outputs, and related hydrology exercises. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.

Computing Excess Rainfall using Phi Index (Constant Loss) Method
This educational webpage provides a step-by-step hydrology tutorial on computing excess rainfall using the phi index (constant loss) method, covering conceptual and practical learning outcomes, Excel-based data analysis, and related methods like the SCS curve number, within a structured module for teaching hydrology. auto-generated The author of this page didn't provide a brief description so this one sentence summary was created by an AI tool. It may not be completely accurate.