Problem Statement
The Provo city council is working on their next master plan. You are a civil engineer at a consulting firm hired to analyze the resiliency of their water supply in the face of future changes. You will perform analysis to determine the current state of their infrastructure and if they need to invest capital to be prepared for the future. You will analyze current and future water supply and prepare a report synthesizing your analysis of the system’s resilience and recommendations for the city council.
Module Overview
Section 1 provides an overall introduction to the module. Section 2 introduces surface water management concepts for evaluation of the current water supply of a specific location. Section 3 evaluates future changes and how those affect the surface water supply of interest. Section 4 integrates the previous course content into a water supply resiliency analysis.
Topics Covered
Surface water hydrology, water balance, climate change, resiliency
Prerequisites
It is assumed that students taking this module have an undergraduate level understanding of hydrology (water balance calculations) as well as the ability to calculate basic summary statistics, statistical distributions (probability density functions), and linear regression.
Learning Objectives
At the end of this module, students will be able to:
- calculate monthly surface water balance
- select and defend a combination of future scenarios by comparing and contrasting results from different scenarios and implementing state design standards and guidance documents
- synthesize a report which presents an analysis of the resiliency of a water supply system by evaluating the strengths and weaknesses of the system as well as recommendations that the client should consider.
This will be accomplished through activities within each section. Results from each activity will be recorded in specified results templates. The results templates for each activity can be found at the beginning of each activity. The results templates are organized such that results from one activity can easily be used in successive activities.
Suggested Implementation
This module is designed to be a supplement to an undergraduate hydrology course.
Course Authors
Dr. Riley Hales
Riley Hales is a researcher in hydrology and river hydraulics emphasizing in numerical modeling. His research focuses primarily on building large scale numerical models which are user accessible and application ready for sustainable use in underdeveloped regions. He has expertise in physical and statistical models, machine learning, remote sensing, high performance computing, geographic information systems, web development, and decision support tools. He received his doctoral degree in Civil Engineering from Brigham Young University.
rchales@byu.edu
Dr. Kelly Good
Dr. Kelly Good is an assistant professor of civil and environmental engineering Villanova University. She holds degrees in civil engineering from Villanova University (B.S.) and civil and environmental engineering (M.S. and Ph.D.) from Carnegie Mellon University. She previously worked as a water utility engineer and is a registered professional engineer in Pennsylvania. Her work in water and environmental systems spans engineering, health, and policy.
Kelly.good@villanova.edu
Target Audience
Undergraduate civil engineering students, students studying introductory hydrology topics
Expected Effort
The module developers estimate that this module will take between 8 to 10 hours to complete.
Course Sharing and Adaptation
This course is available for export by clicking the "Export Link" at the top right of this page. You will need a HydroLearn instructor studio account to do this. You will first need to sign up for a hydrolearn.org account, then you should register as an instructor by clicking 'studio.hydrolearn' and requesting course creation permissions.
Recommended Citation
Hales, R., Good, K.D. (2024) Water Supply Resiliency Analysis. CIROH. https://edx.hydrolearn.org/courses/course-v1:BYU-Villanova+CE300+F2024/about
Review
Submitted: 8/1/2024
Accepted: 10/15/2024
Acknowledgement
This project received funding under award NA22NWS4320003 from NOAA Cooperative Institute Program. The statements, findings, conclusions, and recommendations are those of the author(s) and do not necessarily reflect the views of NOAA.