Physical Sciences and Mathematics Commons^™

Differences In Pathogenesis-Related Protein Expression And Polyphenolic Compound Accumulation Reveal Insights Into Tomato-Pythium Aphanidermatum Interaction, Seham A. Soliman, Abdulaziz A. Al-Askar, Sherien Sobhy, Marwa A. Samy, Esraa Hamdy, Omaima A. Sharaf, Yiming Su, Said I. Behiry, Ahmed Abdelkhalek

Publications

Plant diseases significantly reduce crop yields, threatening food security and agricultural sustainability. Fungi are the most destructive type of phytopathogen, and they are responsible for major yield losses in some of the most crucial crops grown across the world. In this study, a fungus isolate was detected from infected tomato plants and molecularly identified as Pythium aphanidermatum (GenBank accession number MW725032). This fungus caused damping-off disease and was shown to be pathogenic. Moreover, the expression of five pathogenesis-related genes, namely PR-1, PR-2, PR-3, PR-4, and PR-5, was quantitatively evaluated under the inoculation of tomato with …

Chesapeake Bay Watershed Residents’ And Farmers’ Views On Urban And Suburban Growth, Edem Avemegah, Jessica D. Ulrich-Schad

Publications

What the future of agriculture in the Chesapeake Bay Watershed (CBW) will look like is uncertain due to issues such as the loss of farmland to sprawling suburban development. In this rapidly urbanizing landscape, tension can also arise between farmers and their non-farm neighbors due to their proximity to each other. Understanding the concerns of these stakeholders regarding the urban and suburban growth and the potential problems that are likely to occur with farmers being in close contact with their non-farm neighbors is a good step in ensuring an economically thriving and environmentally beneficial agricultural system that all residents depend …

Chesapeake Bay Watershed Residents’ And Farmers’ Concerns And Perceptions Of Water Quality, Edem Avemegah, Jessica D. Ulrich-Schad

Publications

Poor water quality is an issue in the Chesapeake Bay Watershed (CBW). In this rapidly urbanizing landscape, both farmers and non-farm residents contribute to nutrient pollution of rivers and streams. Understanding these important stakeholders’ views of water quality problems and how to address them is essential for creating an economically thriving and environmentally beneficial agricultural system that all residents depend upon. To understand key stakeholders’ views on water quality both locally and regionally, researchers from Utah State University and the Pennsylvania State University surveyed residents of the CBW and agricultural producers of the southern part of the CBW (Maryland, Delaware, …

Red Wolf Multispecies Justice Publication 2023, Eskar, Elizabeth Bennett, Finley Schad, Alex Baldwin, Oluwaseyifunmi Adejugbe, Mufti Nadimul Quamar Ahmed, Maisie Schad, Sadie Braddock, Azra Soyer, Melih Soyer, Anne-Laure Blanche, Zubair Barkat, Amol K, Sarah Ann Woodbury, Kirsten Vinyeta

Publications

Our understanding of multispecies justice is still solidifying. In spring 2023, a group of Utah State University undergraduate and graduate students attended a course by Dr.Kirsten Vinyeta on Multispecies Justice and Indigenous Approaches to the Environment. Throughout this course, we studied the works of scholars and writers from a variety of social locations and identities who challenge Western theoretical frameworks in social science.

This publication celebrates our intellectual struggle with this emerging field and opens a forum for conversations about justice for humans and additional species. This issue features various writings, reflections, and photos from students taking the Multispecies Justice …

Chesapeake Bay Watershed Residents’ And Farmers’ Views On Water Quality, Edem Avemegah, Jessica D. Ulrich-Schad

Publications

Poor water quality is an issue in the Chesapeake Bay Watershed (CBW). In this rapidly urbanizing landscape, both farmers and non-farm residents contribute to nutrient pollution of rivers and streams. Understanding these important stakeholders’ views of water quality problems and how to address them is essential for creating an economically thriving and environmentally beneficial agricultural system that all residents depend upon. To understand stakeholder views on water quality both locally and regionally, researchers from Utah State University and the Pennsylvania State University surveyed residents of the CBW and agricultural producers of the southern part of the CBW (Maryland, Delaware, and …

Adapting To Low Colorado River Flows And Storage: Lessons From 3 Computer Exercises, David E. Rosenberg

Publications

As Colorado River flows and reservoir levels decline, discussion is ramping up about adapting operations to low flow and storage because existing operations adapt only to storage. This post reviews three recent computer exercises that adapted Colorado River operations to low flow and low storage. Three final paragraphs synthesize lessons to build towards more equitable and sustainable operations.

A Low-Cost, Open Source Monitoring System For Collecting High Temporal Resolution Water Use Data On Magnetically Driven Residential Water Meters, Camilo J. Bastidas Pacheco, Jeffery S. Horsburgh, Robb J. Tracy

Publications

We present a low-cost (≈$150) monitoring system for collecting high temporal resolution residential water use data without disrupting the operation of commonly available water meters. This system was designed for installation on top of analog, magnetically driven, positive displacement, residential water meters and can collect data at a variable time resolution interval. The system couples an Arduino Pro microcontroller board, a datalogging shield customized for this specific application, and a magnetometer sensor. The system was developed and calibrated at the Utah Water Research Laboratory and was deployed for testing on five single family residences in Logan and Providence, Utah, for …

Simulation-Optimization For Conjunctive Water Resources Management And Optimal Crop Planning In Kushabhadra-Bhargavi River Delta Of Eastern India, Madan K. Jha, Richard C. Peralta, Sasmita Sahoo

Publications

Water resources sustainability is a worldwide concern because of climate variability, growing population, and excessive groundwater exploitation in order to meet freshwater demand. Addressing these conflicting challenges sometimes can be aided by using both simulation and mathematical optimization tools. This study combines a groundwater-flow simulation model and two optimization models to develop optimal reconnaissance-level water management strategies. For a given set of hydrologic and management constraints, both of the optimization models are applied to part of the Mahanadi River basin groundwater system, which is an important source of water supply in Odisha State, India. The first optimization model employs a …

Machine Learning Predicts Reach-Scale Channel Types From Coarse-Scale Geospatial Data In A Large River Basin, Hervé Guillon, Colin F. Byrne, Belize A. Lane, Samuel Sandoval Solis, Gregory B. Pasternack

Publications

Hydrologic and geomorphic classifications have gained traction in response to the increasing need for basin-wide water resources management. Regardless of the selected classification scheme, an open scientific challenge is how to extend information from limited field sites to classify tens of thousands to millions of channel reaches across a basin. To address this spatial scaling challenge, this study leverages machine learning to predict reach-scale geomorphic channel types using publicly available geospatial data. A bottom-up machine learning approach selects the most accurate and stable model among∼20,000 combinations of 287 coarse geospatial predictors, preprocessing methods, and algorithms in a three-tiered framework to …

A Performance Comparison Of Machine Learning Algorithms For Arced Labyrinth Spillways, Fernando Salazar, Brian M. Crookston

Publications

Labyrinth weirs provide an economic option for flow control structures in a variety of applications, including as spillways at dams. The cycles of labyrinth weirs are typically placed in a linear configuration. However, numerous projects place labyrinth cycles along an arc to take advantage of reservoir conditions and dam alignment, and to reduce construction costs such as narrowing the spillway chute. Practitioners must optimize more than 10 geometric variables when developing a head–discharge relationship. This is typically done using the following tools: empirical relationships, numerical modeling, and physical modeling. This study applied a new tool, machine learning, to the analysis …

Estimating Discharge In Low-Order Rivers With High-Resolution Aerial Imagery, Tyler V. King, Bethany T. Neilson, Mitchell T. Rasmussen

Publications

Remote sensing of river discharge promises to augment in situ gauging stations, but the majority of research in this field focuses on large rivers (>50 m wide). We present a method for estimating volumetric river discharge in low-order (wide) rivers from remotely sensed data by coupling high-resolution imagery with one-dimensional hydraulic modeling at so-called virtual gauging stations. These locations were identified as locations where the river contracted under low flows, exposing a substantial portion of the river bed. Topography of the exposed river bed was photogrammetrically extracted from high-resolution aerial imagery while the geometry of the remaining inundated portion …

Systems Modeling To Improve The Hydro-Ecological Performance Of Diked Wetlands, Omar Alminagorta, David E. Rosenberg, Karin M. Kettenring

Publications

Water scarcity and invasive vegetation threaten arid-region wetlands and wetland managers seek ways to enhance wetland ecosystem services with limited water, labor, and financial resources. While prior systems modeling efforts have focused on water management to improve flow-based ecosystem and habitat objectives, here we consider water allocation and invasive vegetation management that jointly target the concurrent hydrologic and vegetation habitat needs of priority wetland bird species. We formulate a composite weighted usable area for wetlands (WU) objective function that represents the wetland surface area that provides suitable water level and vegetation cover conditions for priority bird species. Maximizing …