Engineering Commons^™

Water Banking As A Strategy For The Management And Conservation Of A Critical Resource: A Case Study From Tunisia's Medjerda River Basin (Mrb), Aymen Sawassi, Roula Khadra, Brian Crookston

Civil and Environmental Engineering Faculty Publications

The increasingly adverse impacts of climate change (e.g., rainfall patterns, droughts, and floods), coupled with the ever-increasing water demands, are often translated into a contingent liability for water users' communities. Additional complexities arise due to competing priorities, water rights, and transboundary water sources. Therefore, conventional water management practices should shift toward more comprehensive and responsive integrative approaches, even for systems with limited data. Furthermore, water managers must prioritize dynamic and interactive management techniques for existing systems. One such management technique is water banking, which is the focus of this study. Herein, a dynamic interactive water allocation model, which encompasses the …

Utilizing Hybrid Machine Learning Techniques And Gridded Precipitation Data For Advanced Discharge Simulation In Under-Monitored River Basins, Reza Morovati, Ozgur Kisi

Civil and Environmental Engineering Faculty Publications

This study addresses the challenge of utilizing incomplete long-term discharge data when using gridded precipitation datasets and data-driven modeling in Iran's Karkheh basin. The Multilayer Perceptron Neural Network (MLPNN), a rainfall-runoff (R-R) model, was applied, leveraging precipitation data from the Asian Precipitation—Highly Resolved Observational Data Integration Toward Evaluation (APHRODITE), Global Precipitation Climatology Center (GPCC), and Climatic Research Unit (CRU). The MLPNN was trained using the Levenberg–Marquardt algorithm and optimized with the Non-dominated Sorting Genetic Algorithm-II (NSGA-II). Input data were pre-processed through principal component analysis (PCA) and singular value decomposition (SVD). This study explored two scenarios: Scenario 1 (S1) used in …

Water Stress Index And Stomatal Conductance Under Different Irrigation Regimes With Thermal Sensors In Rice Fields On The Northern Coast Of Peru, Lia Ramos-Fernández, Maria Gonzales-Quiquia, José Huanuqueño-Murillo, David Tito-Quispe, Elizabeth Heros-Aguilar, Lisveth Flores Del Pino, Alfonso Torres-Rua

Civil and Environmental Engineering Faculty Publications

In the face of the climate change crisis, the increase in air temperature negatively impacts rice crop productivity due to stress from water scarcity. The objective of this study was to determine the rice crop water stress index (CWSI) and stomatal conductance (Gs) under different irrigation regimes, specifically continuous flood irrigation treatments (CF) and irrigations with alternating wetting and drying (AWD) at water levels of 5 cm, 10 cm, and 20 cm below the soil surface (AWD₅, AWD₁₀, and AWD₂₀) in an experimental area of INIA-Vista Florida and in six commercial areas of the …

Adaptively Managing Lake Powell Releases To Respond To Reservoir Inflow And Evaporation, Motasem Abualqumboz, Braden Chamberlain, David Rosenberg

Civil and Environmental Engineering Student Research

Across the Western U.S., reservoir levels are declining towards protection elevations because of aridity amplified by long-standing operations that release more water than inflow. This paper has the purpose to sketch the effects of reservoir operations that release less water than inflow and evaporation. We use the case of Glen Canyon Dam/Lake Powell on the Colorado River, U.S.A. We programed a new rule in the trusted basin simulation model maintained by the U.S. Bureau of Reclamation. The rule releases 95% of inflow in each time step. The 5% reduction is typically greater than reservoir evaporation. Lake Powell levels stabilize and …

Reproducibility Starts At The Source: R, Python, And Julia Packages For Retrieving Usgs Hydrologic Data, Timothy O. Hodson, Laura A. Decicco, Jayaram A. Hariharan, Lee F. Stanish, Scott Black, Jeffery S. Horsburgh

Civil and Environmental Engineering Faculty Publications

Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis. Thus, tools that facilitate programmatic data retrieval represent a critical component in reproducible scientific workflows. Earth science is no different in this regard. To fulfill that basic need, we developed R, Python, and Julia packages providing programmatic access to the U.S. Geological Survey’s National Water Information …

Increasing The Impact Of Utah State University’S Extension Water Check Program With 5-Second Metering, Mahmud Aveek, David E. Rosenberg, Camilo Bastidas, Jeffery S. Horsburgh, Belize A. Lane, Kelly Kopp, Peter Mayer, Joe Fazio

Reports

Study Goal – Increase the volume of water saved by the Utah State University (USU) Extension landscape Water Check program because outdoor water use is the largest component of residential use with the largest opportunity to reduce use. We used 5-second water use data collected with Flume Smart Home Water Monitoring devices (Figure 1) at residential homes before and after a Water Check (Box 1; Figure 2) to answer four questions:

1. How much water did households save?

2. Which Water Check recommendations did participants implement?

3. Why did participants implement some recommendations and not others?

4. How to further reduce landscape water use?

Increasing The Impact Of Utah State University's Extension Water Check Program With 5-Second Metering, Mahmud Aveek, David E. Rosenberg, Camilo Bastidas, Jeffery S. Horsburgh, Belize A. Lane, Kelly Kopp, Peter Mayer, Joe Fazio

Reports

Study Goal – Increase the volume of water saved by the Utah State University (USU) Extension landscape Water Check program because outdoor water use is the largest component of residential use with the largest opportunity to reduce use. We used 5-second water use data collected with Flume Smart Home Water Monitoring devices (Figure 1) at residential homes before and after a Water Check (Box 1; Figure 2) to answer four questions:

1. How much water did households save?
2. Which Water Check recommendations did participants implement?
3. Why did participants implement some recommendations and not others?
4. How to further reduce landscape water use?

An Open-Source, Semisupervised Water End-Use Disaggregation And Classification Tool, Nour A. Attallah, Jeffery S. Horsburgh, Camilo J. Bastidas Pacheco

Research Briefs

Research Objective/Summary: Research on individual household water consumption is vital to water management and conservation approaches. Despite a significant number of papers published on end-use disaggregation tools, reproduction and further study of results on water-use behavior is difficult because the data and code are not easily accessible. In order to fulfill this need for open and reproducible tools, we present a new, semisupervised, non-intrusive water end-use disaggregation and classification tool.

Antimicrobial Efficacy And Hplc Analysis Of Polyphenolic Compounds In A Whole-Plant Extract Of Eryngium Campestre, Abdulaziz A. Al-Askar, Shimaa Bashir, Abdallah E. Mohamed, Omaima A. Sharaf, Rokaia Nabil, Yiming Su, Ahmed Abdelkhalek, Said I. Behiry

Civil and Environmental Engineering Faculty Publications

Due to the constant increase in the number of plant diseases and the lack of available treatments, there has been a growing interest in plant extracts over the past few decades. Numerous studies suggest that plant extract molecules possess valuable antimicrobial activities, particularly against fungi and bacteria. This suggests that these biomaterials could potentially serve as attractive therapeutic options for the treatment of phytopathogen infections. In the present study, we investigated and analyzed the methanolic extract of Eryngium campestre L. whole plant extract using HPLC. The analysis revealed the presence of several polyphenolic constituents, with benzoic acid, catechol, quercetin, vanillic …

Evaluation Of Temperature-Index And Energy-Balance Snow Models For Hydrological Applications In Operational Water Supply Forecasts, Tian Gan, David G. Tarboton, Tseganeh Z. Gichamo

Civil and Environmental Engineering Faculty Publications

In the western United States, snow accumulation, storage, and ablation affect seasonal runoff. Thus, the prediction of snowmelt is essential to improve the reliability of water supply forecasts to guide water allocation and operational decisions. The current method used at the Colorado Basin River Forecast Center (CBRFC) couples the SNOW-17 temperature index snow model and the Sacramento Soil Moisture Accounting (SAC-SMA) runoff model in a lumped approach. Limitations in parameter transferability and calibration requirements for changing conditions with the temperature-index model motivated this research, in which new avenues were investigated to assess and prototype the application of an energy-balance snow …

Swietenia Mahagoni Leaves Extract: Antifungal, Insecticidal, And Phytochemical Analysis, Wael M. Khamis, Ahmed A. Heflish, Sarah El-Messeiry, Said I. Behiry, Abdulaziz A. Al-Askar, Yiming Su, Ahmed Abdelkhalek, Mohamed K. Gaber

Civil and Environmental Engineering Faculty Publications

In this study, we investigated the antifungal properties of an acetone extract derived from the leaves of Swietenia mahagoni (SMAL) against two isolated fungi, Fusarium equiseti (OQ820153) and Rhizoctonia solani (OQ820152), from rice sheath. The extract was effective in inhibiting the growth of both fungi at the highest concentration tested, 3000 μg·mL⁻¹. Laboratory tests on the LC20 of SMAL extract (49.86 mg·L⁻¹) versus pyriproxyfen 10% EC (1.96 mg·L⁻¹) were accomplished on Aphis gossypii Glover. The extract potently reduced the survival of the nymphs (49.58%) more than the other treatments. The longevity of nymphs treated …

Nematocidal And Bactericidal Activities Of Green Synthesized Silver Nanoparticles Mediated By Ficus Sycomorus Leaf Extract, Dina Elkobrosy, Abdulaziz A. Al-Askar, Hamada El-Gendi, Yiming Su, Rokaia Nabil, Ahmed Abdelkhalek, Said Behiry

Civil and Environmental Engineering Faculty Publications

Nanoparticles effectively control most plant pathogens, although research has focused more on their antimicrobial than their nematocidal properties. This study synthesized silver nanoparticles (Ag-NPs) through a green biosynthesis method using an aqueous extract of Ficus sycomorus leaves (FS-Ag-NPs). The nanoparticles were characterized using SEM, TEM, EDX, zeta sizer, and FTIR. The TEM results showed that the synthesized NPs were nanoscale and had an average particle size of 33 ± 1 nm. The elemental silver signal at 3 keV confirmed the formation of Ag-NPs from an aqueous leaf extract of F. sycomorus. The FTIR analysis revealed the existence of several …

Utah's Food Processing Industry Can Manufacture Products From Cbd-Containing Lipids That Have Superior Texture And Consistency, Joseph Cooney, Isaac Hilton

Research on Capitol Hill

Sophomore Joseph is an Honors student and Undergraduate Research Fellow studying physics. Freshman Isaac, of Kaysville, studies civil and environmental engineering. Joseph and Isaac are exploring how cannabinoids impact the way that lipids function. A common way CBD is packaged is within foods, where it is frequently added to fats like cocoa butter or palm oil, and as the market for such products increase producers need to understand CBD will change the behavior of the fats they are using.In addition to this work, Joseph also volunteers for a physics lab. “Undergraduate research has let me explore fields outside my major …

A Comparison Of National Water Model Retrospective Analysis Snow Outputs At Snow Telemetry Sites Across The Western United States, Irene Garousi-Nejad, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

This study compares the US National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at snow telemetry (SNOTEL) sites across the Western United States. SWE was obtained from SNOTEL sites, while SCAF was obtained from moderate resolution imaging spectroradiometer (MODIS) observations at a nominal 500 m grid scale. Retrospective NWM results were at a 1000 m grid scale. We compared results for SNOTEL sites to gridded NWM and MODIS outputs for the grid cells encompassing each SNOTEL site. Differences between modelled and observed SWE were attributed to both model errors, as …

Adapting Colorado River Basin Depletions To Available Water To Live Within Our Means, Jian Wang, David E. Rosenberg

Publications

The Colorado River’s two largest reservoirs are drawing down because releases exceed inflows and releases adapt to reservoir elevations instead of elevation and inflow triggers. To help slow reservoir drawdown and sustain target elevations, we introduced a new rule that adapted basin depletions to available water. We simulated inflow-based operations and validated existing operations in a new open-source exploratory model for the Colorado River Basin. We developed the exploratory model to more easily adapt Upper and Lower Basin depletions to available water, reduce run time, and lower costs to use compared to the proprietary RiverWare Colorado River Simulation System (CRSS) …

Lessons From Real-Time, Online Collaborative Modeling To Discuss More Adaptive Reservoir Operations, David E. Rosenberg

Civil and Environmental Engineering Faculty Publications

This work had the purpose to model and discuss in real-time more adaptive Colorado River reservoir operations with manager and experts. I created real-time, online collaborative modeling environments by using an interactive web spreadsheet (Google Sheet) during video conference sessions. 26 Colorado River managers and experts participated. Within each session, up to 6 people from the same stakeholder group simultaneously consumed, saved, and traded water in six basin water accounts, protected reservoirs, and sustained endangered, native fish of the Grand Canyon. The collaboration differed from prior studies that excluded stakeholders, extracted data from participants, had a lead modeler or facilitation …

Increasing Affordability, Energy Efficiency, And Ridership Of Transit Bus Systems Through Large-Scale Electrification, Ziqi Song

Funded Research Records

No abstract provided.

Residential Water Meters As Edge Computing Nodes: Disaggregating End Uses And Creating Actionable Information At The Edge, Nour A. Attallah, Jeffery S. Horsburgh, Arle S. Beckwith Jr., Robb J. Tracey

Publications

We present a new, open source, computationally capable datalogger for collecting and analyzing high temporal resolution residential water use data. Using this device, execution of water end use disaggregation algorithms or other data analytics can be performed directly on existing, analog residential water meters without disrupting their operation, effectively transforming existing water meters into smart, edge computing devices. Computation of water use summaries and classified water end use events directly on the meter minimizes data transmission requirements, reduces requirements for centralized data storage and processing, and reduces latency between data collection and generation of decision-relevant information. The datalogger couples an …

From Attitude To Satisfaction: Introducing The Travel Mode Choice Cycle, Jonas De Vos, Patrick A. Singleton, Tommy Gärling

Civil and Environmental Engineering Faculty Publications

Many studies analysing the relationship between attitudes and travel behaviour have found that travel attitudes have an important impact on travel mode choice. More recently, studies focusing on how people experience travel have shown that travel satisfaction is influenced by the chosen travel mode. The desire and intention of using a travel mode – which can be considered as important predictors of mode choice – have, however, received limited attention. Furthermore, existing studies mostly have a narrow scope and lack integration of the above constructs. In this paper, we introduce the travel mode choice cycle (TMCC), a comprehensive model aiming …

Hydrolearn: Improving Students’ Conceptual Understanding And Technical Skills In A Civil Engineering Senior Design Course, Melissa Ann Gallagher, Jenny Byrd, Emad Habib, David G. Tarboton, Clinton S. Wilson

Civil and Environmental Engineering Faculty Publications

Engineering graduates need a deep understanding of key concepts in addition to technical skills to be successful in the workforce. However, traditional methods of instruction (e.g., lecture) do not foster deep conceptual understanding and make it challenging for students to learn the technical skills, (e.g., professional modeling software), that they need to know. This study builds on prior work to assess engineering students’ conceptual and procedural knowledge. The results provide an insight into how the use of authentic online learning modules influence engineering students’ conceptual knowledge and procedural skills. We designed online active learning modules to support and deepen undergraduate …

An Open Source Cyberinfrastructure For Collecting, Processing, Storing And Accessing High Temporal Resolution Residential Water Use Data, Camilo J. Bastidas Pacheco, Joseph C. Brewer, Jeffery S. Horsburgh, Juan Caraballo

Publications

Collecting and managing high temporal resolution residential water use data is challenging due to cost and technical requirements associated with the volume and velocity of data collected. We developed an open-source, modular, generalized architecture called Cyberinfrastructure for Intelligent Water Supply (CIWS) to automate the process from data collection to analysis and presentation of high temporal residential water use data. A prototype implementation was built using existing open-source technologies, including smart meters, databases, and services. Two case studies were selected to test functionalities of CIWS, including push and pull data models within single family and multi-unit residential contexts, respectively. CIWS was …

An Open Web-Based Module Developed To Advance Data-Driven Hydrologic Process Learning, Belize A. Lane, Irene Garousi-Nejad, Melissa A. Gallagher, David G. Tarboton, Emad Habib

Civil and Environmental Engineering Faculty Publications

The era of ‘big data’ promises to provide new hydrologic insights, and open web-based platforms are being developed and adopted by the hydrologic science community to harness these datasets and data services. This shift accompanies advances in hydrology education and the growth of web-based hydrology learning modules, but their capacity to utilize emerging open platforms and data services to enhance student learning through data-driven activities remains largely untapped. Given that generic equations may not easily translate into local or regional solutions, teaching students to explore how well models or equations work in particular settings or to answer specific problems using …

Managing Lake Urmia, Iran For Diverse Restoration Objectives: Moving Beyond A Uniform Target Lake Level, Somayeh Sima, David E. Rosenberg, Wayne A. Wurtsbaugh, Sarah E. Null, Karin M. Kettenring

Civil and Environmental Engineering Faculty Publications

There is widespread interest in restoring drying saline lakes. At Iran’s hypersaline Lake Urmia, managers have sought a uniform target lake level of 1274.1 m above sea level to lower salinity below 263 g L−1 and recover Artemia to sufficient densities to support flamingos. We suggest that addressing a broader range of objectives will allow more flexibility for managing the lake. We define eight restoration objectives to lower salinity, sustain Artemia and flamingo populations, separate islands from each other and the mainland, reduce lakebed dust, maintain commercially valuable ions, and improve recreational access from resort beaches. We use 40 years …

Engineering Students’ Perceptions Of Mathematical Modeling In A Learning Module Centered On A Hydrologic Design Case Study, Madeline F. Merck, Melissa A. Gallagher, Emad Habib, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

Engineering students need to spend time engaging in mathematical modeling tasks to reinforce their learning of mathematics through its application to authentic problems and real world design situations. Technological tools and resources can support this kind of learning engagement. We produced an online module that develops students‚Äô mathematical modeling skills while developing knowledge of the fundamentals of rainfall-runoff processes and engineering design. This study examined how 251 students at two United States universities perceived mathematical modeling as implemented through the online module over a 5-year period. We found, subject to the limitation that these are perceptions from not all students, …

Collaborative Research: 3d Ambient Noise Tomography (3d Ant) For Natural Hazards Engineering, Brady Cox

Funded Research Records

No abstract provided.

Computational Modeling For Decision-Making Under Climate Change Uncertainty: Reservoir Simulation Game, Julianne Quinn

All ECSTATIC Materials

Almost every decision you make is under uncertainty. Will I need a rain jacket in the afternoon? Will they say yes if I ask them out? Is 1 hour enough time to finish this assignment? Oftentimes, we can use computational modeling to simulate different scenarios of what might happen in the future to inform what decisions are best on average, or what decisions minimize the worst case outcome. For example, you could decide what player to draft for your Fantasy Football team by simulating player performance. In this activity, we will simulate how much water to release from a dam …

Toward Open And Reproducible Environmental Modeling By Integrating Online Data Repositories, Computational Environments, And Model Application Programming Interfaces, Young-Don Choi, Jonathan L. Goodall, Jeffrey M. Sadler, Anthony M. Castronova, Andrew Bennett, Zhiyu Li, Bart Nijssen, Shaowen Wang, Martyn P. Clark, Daniel P. Ames, Jeffery S. Horsburgh, Hong Yi, Christina Bandaragoda, Martin Seul, Richard Hooper, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

Cyberinfrastructure needs to be advanced to enable open and reproducible environmental modeling research. Recent efforts toward this goal have focused on advancing online repositories for data and model sharing, online computational environments along with containerization technology and notebooks for capturing reproducible computational studies, and Application Programming Interfaces (APIs) for simulation models to foster intuitive programmatic control. The objective of this research is to show how these efforts can be integrated to support reproducible environmental modeling. We present first the high-level concept and general approach for integrating these three components. We then present one possible implementation that integrates HydroShare (an online …

Water Resources International Development: What On Earth Are We Doing?, Patrick Ray

All ECSTATIC Materials

Large agencies such as the World Bank, the Millennium Challenge Corporation, the United Nations, regional development banks (such as the Asian Development Bank), and philanthropic organizations (such as the Rockefeller Foundation) are actively engaged in water resources development in low-income countries. Why? And what metrics do they use to decide if the investments of hundreds of millions or billions of dollars in water infrastructure projects are justified? And what accommodations do they tend to make for risks such as climate change? And what attention do they tend to give to questions of equity? I probably have no idea. But I’ve …

Dynamic Adaptive Policy Pathways, Marjolijn Haasnoot

All ECSTATIC Materials

• Dynamic Adaptive Policy Pathways (DAPP) is a decision making approach that explicitly includes decision making over time. The essence is proactive and dynamic planning in response to how the future actually unfolds.
• DAPP explores alternative sequences of decisions (adaptation pathways) for multiple futures and illuminates the path dependency of alternative strategies. It opens the decision space and helps to overcome policy paralysis due to deep uncertainty. There are different routes that can achieve the objectives under changing conditions (like ‘different roads leading to Rome’).
• Policy actions have an uncertain design life and might fail sooner or later to continue achieving …

Rapid: Monitoring And Modeling Watershed-Scale Post-Wildfire Streamflow Response Through Space And Time, Belize A. Lane

Funded Research Records

No abstract provided.