Bioresource and Agricultural Engineering Commons^™

Optimization Of A Novel Barnes Maze Protocol For Assessing Antioxidant Treatment Of Traumatic Brain Injury, Connor C. Gee

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Current preclinical research into traumatic brain injury focuses heavily upon cellular and molecular testing to determine the effects of injury and potential benefits of neuroprotective treatments. While this may be a useful method, some argue that an increased focus on behavioral testing could lead to better clinical translation as these assays assess the longer term, downstream effects from a brain injury. The most characterized behavioral tests used in traumatic brain injury research are the spatial learning and memory paradigms, Morris Water Maze and Barnes Maze. The Morris Water Maze is the most used of theses paradigms and relies on spatial …

Effect Of Injury Mechanism And Severity On The Molecular Pathophysiology Of Traumatic Brain Injury, Brandon Mcdonald

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Traumatic brain injury (TBI) mechanism and severity are heterogenous clinically, resulting in a multitude of physical, cognitive, and behavioral deficits. However, approximately 80% suffer from milder injuries. Thus, examining pathophysiological changes associated with mild TBI is imperative for improving clinical translation and evaluating the efficacy of potential therapeutic strategies. Through this work, we developed models of TBI, ranging in both injury mechanism and severity, using an electromagnetic controlled cortical impact (CCI) device. First, we characterized and optimized a closed head, mild TBI model (DTBI) to determine the clinical translatability and practicality of producing repeated mild injuries. Interestingly, we determined that …

Axial Hypersensitivity Is Associated With Aberrant Nerve Sprouting In A Novel Model Of Disc Degeneration In Female Sprague Dawley Rats, David J. Lillyman, Fei San Lee, Evie C. Barnett, Tyler J. Miller, Moreno Lozano Alvaro, Henry C. Drvol, Rebecca A. Wachs

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Chronic low back pain is a global socioeconomic crisis and treatments are lacking in part due to inadequate models. Etiological research suggests that the predominant pathology associated with chronic low back pain is intervertebral disc degeneration. Various research teams have created rat models of disc degeneration, but the clinical translatability of these models has been limited by an absence of robust chronic painlike behavior. To address this deficit, disc degeneration was induced via an artificial annular tear in female Sprague Dawley rats. The subsequent degeneration, which was allowed to progress for 18-weeks, caused a drastic reduction in disc volume. Furthermore, …

A Segmentation-Guided Deep Learning Framework For Leaf Counting, Xijian Fan, Rui Zhou, Tardi Tjahjadi, Sruti Das Choudhury, Qiaolin Ye

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Deep learning-based methods have recently provided a means to rapidly and effectively extract various plant traits due to their powerful ability to depict a plant image across a variety of species and growth conditions. In this study, we focus on dealing with two fundamental tasks in plant phenotyping, i.e., plant segmentation and leaf counting, and propose a two-steam deep learning framework for segmenting plants and counting leaves with various size and shape from two-dimensional plant images. In the first stream, a multi-scale segmentation model using spatial pyramid is developed to extract leaves with different size and shape, where the fine-grained …

Towards A Cybersecurity Testbed For Agricultural Vehicles And Environments, Mark Freyhof, George Grispos, Santosh Pitla, Cody Stolle

Department of Agricultural and Biological Systems Engineering: Faculty Publications

In today’s modern farm, an increasing number of agricultural systems and vehicles are connected to the Internet. While the benefits of networked agricultural machinery are attractive, this technological shift is also creating an environment that is conducive to cyberattacks. While previous research has focused on general cybersecurity concerns in the farming and agricultural industries, minimal research has focused on techniques for identifying security vulnerabilities within actual agricultural systems that could be exploited by cybercriminals. Hence, this paper presents STAVE – a Security Testbed for Agricultural Vehicles and Environments – as a potential solution to assist with the identification of cybersecurity …

Inactivation Of Salmonella In Black Peppercorn By Fluidization With Hydrogen Peroxide Vapor, Edel Summers

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

The purpose of the present study was to assess the effectiveness of hydrogen peroxide vapor (HPV) at inactivating Salmonella inoculated in whole black pepper when used as fluidizing gas media. HPV treatment was conducted at two different temperatures (45°C and 60°C) and two dwell times (30 min and 60 min). Microbial reduction and residual hydrogen peroxide were measured at three storage times: 0 h (immediately after treatment), 24 h and 48 h post-treatment. The effect of HPV on the quality of whole black peppercorn was evaluated 48 h post-treatment based on changes in piperine content, total phenolics, antioxidant activity, total …

Assessment Of Manure Treatment Technology Adoption And Feedlot Runoff Monitoring Opportunities, Juan Carlos Ramos Tanchez

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

Livestock products contain valuable nutrients that enhance human health, and their production generates positive local and national economic impacts. The livestock sector also deals with large quantities of environmentally important nutrients in manure. The purpose of this thesis is to further the aims of researchers and educators working at the intersection of livestock production and the environment to identify and promote best practices for livestock production and manure management that are economically and environmentally sustainable.

The second chapter explored options to evaluate nutrient flows in feedlot runoff at the pen scale. Pen scale monitoring is an important consideration for research …

Surface Urban Energy And Water Balance Scheme (V2020a) In Vegetated Areas: Parameter Derivation And Performance Evaluation Using Fluxnet2015 Dataset, Hamidreza Omidvar, Ting Sun, Sue Grimmond, Dave Bilesbach, Andrew Black, Jiquan Chen, Zexia Duan, Zhiqiu Gao, Hiroki Iwata, Joseph P. Mcfadden

Department of Agricultural and Biological Systems Engineering: Faculty Publications

To compare the impact of surface–atmosphere exchanges from rural and urban areas, fully vegetated areas (e.g. deciduous trees, evergreen trees and grass) commonly found adjacent to cities need to be modelled. Here we provide a general workflow to derive parameters for SUEWS (Surface Urban Energy and Water Balance Scheme), including those associated with vegetation phenology (via leaf area index, LAI), heat storage and surface conductance. As expected, attribution analysis of bias in SUEWS-modelled QE finds that surface conductance (g_s) plays the dominant role; hence there is a need for more estimates of surface conductance parameters. The workflow …

Reflection Types And Students’ Viewing Of Feedback In A First-Year Engineering Course Using Standards-Based Grading, Heidi A. Diefes-Dux, Laura M. Cruz Castro

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Background: Feedback is one of the most powerful and essential tools for learning and assessment, particularly when it provides the information necessary to close an existing gap between actual and reference levels of performance. The literature on feedback has primarily focused on addressing strategies for providing effective feedback rather than aspects of students’ readiness to engage with feedback. Purpose/Hypothesis: This study investigated whether reflection, as a routine pedagogical intervention grounded in self-regulated learning theory, promotes the frequency with which students view feedback. Design/Method: A quasi-experimental design was employed to examine the relationship between the use of four different reflection types, …

An Evaluation Of Tractors Tested At The Nebraska Tractor Test Lab And The Effect Of Epa Emission Standards Based Upon Average Pto Horsepower And Fuel Efficiency, Dalton Erickson

Honors Program: Senior Projects (Public)

Newly released tractor models are tested to ensure they meet advertising claims. This thesis utilizes tractor test data to analyze performance trends in tractors based upon their power take off (PTO) horsepower and fuel efficiency and it evaluates how the average fuel efficiency of tractors was affected by the introduction of emission standards by the United States Environmental Protection Agencies. In conclusion, tractors have shown continuous improvement and growth in both fuel efficiency and PTO horsepower, and emission standards have had a small, positive effect on tractors’ average fuel efficiency.

Development Of Controller Area Network Bus Programming For Quarter-Scale Tractor Pulling Sled, Brittani Wacker

Honors Program: Senior Projects (Public)

Usage of Controller Area Network (CAN) technology has allowed for advancements in many industries, including agriculture. Most importantly, its application is useful for refining data acquisition methods. With support from the Quarter-scale Tractor Design Team at UNL, this project united a CAN bus with the team’s current tractor pulling sled. The objectives were to install new instrumentation needed for the CAN bus and to program the updated system utilizing CAN data. The program needed to give the pulling sled functionality and the ability to read and log important pulling data. These goals were all accomplished by implementing new sensors, coding …

Impacts Of Temperature And Carbon Dioxide On Boro Rice Production, Sabiha Ferdous

Department of Agricultural and Biological Systems Engineering: Dissertations, Theses, and Student Research

There are different anticipated impacts of climate change (CC) on agriculture all over the world. Bangladesh as a developing country has potential vulnerability and negative impacts on CC. This change in meteorological parameters creates negative impacts on agricultural production which is a threat to food security and economic development. The country has recently achieved food security in rice which is mainly due to increased yields and area coverage of irrigated dry season (Boro) rice over the last decades. It is necessary to predict the future Boro rice production in accordance with CC as well as take supplementary actions to ensure …

Biogeosciences Perspectives On Integrated, Coordinated, Open, Networked (Icon) Science, D. Dwivedi, A. L.D. Santos, M. A. Barnard, T. M. Crimmins, A. Malhotra, K. A. Rod, K. S. Aho, S. M. Bell, B. Bomfim, F. Q. Brearley, H. Cadillo-Quiroz, J. Chen, C. M. Gough, E. B. Graham, C. R. Hakkenberg, L. Haygood, G. Koren, E. A. Lilleskov, L. K. Meredith, S. Naeher, Z. L. Nickerson, O. Pourret, H. S. Song, M. Stahl, N. Taş, R. Vargas, S. Weintraub-Leff

Department of Agricultural and Biological Systems Engineering: Faculty Publications

This article is composed of three independent commentaries about the state of Integrated, Coordinated, Open, Networked (ICON) principles in the American Geophysical Union Biogeosciences section, and discussion on the opportunities and challenges of adopting them. Each commentary focuses on a different topic: (a) Global collaboration, technology transfer, and application (Section 2), (b) Community engagement, community science, education, and stakeholder involvement (Section 3), and (c) Field, experimental, remote sensing, and real-time data research and application (Section 4). We discuss needs and strategies for implementing ICON and outline short- and long-term goals. The inclusion of global data and international community engagement are …

Land Use Influences The Composition And Antimicrobial Effects Of Propolis, Amara J. Orth, Emma H. Curran, Eric J. Haas, Andrew C. Kraemer, Audrey M. Anderson, Nicholas J. Mason, Carol A. Fassbinder-Orth

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Honey bee propolis is a complex, resinous mixture created by bees using plant sources such as leaves, flowers, and bud exudates. This study characterized how cropland surrounding apiaries affects the chemical composition and antimicrobial effects of propolis. The chemical composition and compound abundance of the propolis samples were analyzed using Gas Chromatography- Mass Spectrometry (GC-MS) and the antimicrobial effects were analyzed using the 50% minimum inhibitory concentration (MIC₅₀) assay against four relevant bee pathogens, Serratia marcescens, Paenibacillus larvae, Lysinibacillus sphaericus, and Klebsiella pneumoniae. Propolis composition varied significantly with apiary, and cropland coverage predicted mean sum abundance of …

Precipitation And Temperature Extremes And Association With Large-Scale Climate Indices: An Observational Evidence Over India, S Rehana, Pranathi Yeleswarapu, Ghouse Basha, Francisco Munoz-Arriola

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Climate change exposes more frequent natural hazards and physical vulnerabilities to the built and natural environments. Extreme precipitation and temperature events will have a significant impact on both the natural environment and human society. However, it is unclear whether precipitation and temperature extremes increase physical vulnerabilities across scales and their links with large-scale climate indices. This study investigates the relationship between precipitation and temperature extremes, as recommended by the Expert Team on Climate Change Detection and Indices (ETCCDI), and large scale climatological phenomenon indices (Indian Summer Monsoon Index (ISMI), Arctic Oscillation (AO), and North Atlantic Oscillation (NAO)), using India as …

Conceptual Framework To Integrate Economic Drivers Of Decision Making For Technology Adoption In Agriculture, Thiago L. Romanelli, Francisco Muñoz-Arriola, Andre F. Colaço

Department of Agricultural and Biological Systems Engineering: Faculty Publications

This study evaluates how much technology adoption could cost in a variety of crop-production scenarios. Cost-reduction simulations consider scenarios of higher input use efficiency such as reducing the usage of diesel, labor, irrigation, fertilizer, herbicide, and seed, among others. The scenarios aim to increase yields by integrating the effect of each input-reduction on the total operating costs. Agricultural production estimates for Nebraska in the US indicates that a technology that saves 1% of diesel is cost-effective, costing between USD 0.15/ha and USD 0.32/ha (for corn). Improvements on input use efficiency should be prioritized to incentivize technology development and adoption. This …

Maize Response To Coupled Irrigation And Nitrogen Fertilization Under Center Pivot, Subsurface Drip And Surface (Furrow) Irrigation: Growth, Development And Productivity, Suat Irmak, Ali T. Mohammed, Meetpal S. Kukal

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Water availability and water quality problems negatively impact agricultural productivity due to improper nitrogen (N) and irrigation management, which can also negatively affect environmental services. Coupled irrigation and N management practices must be developed and practiced for alleviating these challenges. Investigating crop growth and development and yield response to coupled irrigation and N management under different irrigation methods can aid in developing optimum agronomic management practices to enhance crop production efficiency. Field experiments were conducted in 2016 and 2017 growing seasons to measure and compare maize (Zea mays L.) grain yield, leaf area index (LAI), plant height (and their …

A Greenhouse Gas Emissions Inventory For Nebraska: Livestock And Coal Loom Large, Eric R. Holley, Adam Liska

Adam Liska Papers

Mitigation of climate change requires the systematic identification and cataloging of emissions sources at city, state, and national levels. In this study, an inventory of annual greenhouse gas emissions from the state of Nebraska was created based on industry data, and emissions inventories were completed each year from 1990 to 2016. Nebraska’s net emissions were found to increase from 56.2 million metric tons of carbon dioxide equivalents (MMtCO₂e) in 1990 to 87.4 MMtCO₂e in 2016. Agriculture was found to be the sector with the most emissions (36 MMtCO₂e) followed by electricity generation (21 MMtCO …

Geospatial Synthesis Of Biogeochemical Attributions Of Porphyrins To Oil Pollution In Marine Sediments Of The Gulf Of México, Francisco Muñoz-Arriola, José Vinicio Macías-Zamora

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Porphyrins are highly persistent in the environment and represent a helpful biogeochemical attribute to assess the spatial distribution of the effects of oil spills on ecosystems and their resilience. In areas prone to natural and human-originated oil spills, the measurement of VO– and nickel– porphyrins in marine–sediment samples can identify the effects of oil pollution across spatiotemporal scales. The goal is to explore whether or not these compounds can be useful indicators of the geospatial attributions of oil contamination in the surficial sediments. We hypothesize that the geospatial gradients of porphyrins in marine sediments from petroleum spills and seepage activities—related …

The Brazilian Soil Spectral Service (Braspecs): A User-Friendly System For Global Soil Spectra Communication, José A. M. Demattê, Ariane Francine Da Silveira Paiva, Raul Roberto Poppiel, Nícolas Augusto Rosin, Luis Fernando Chimelo Ruiz, Fellipe Alcantara De Oliveira Mello, Budiman Minasny, Sabine Grunwald, Yufeng Ge, Eyal Ben Dor, Asa Gholizadeh, Cecile Gomez, Sabine Chabrillat, Nicolas Francos, Shamsollah Ayoubi, Dian Fiantis, James Kobina Mensah Biney, Changkun Wang, Abdelaziz Belal, Salman Naimi, Najmeh Asgari Hafshejani, Henrique Bellinaso, Jean Michel Moura-Bueno, Nélida E. Q. Silvero

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Although many Soil Spectral Libraries (SSLs) have been created globally, these libraries still have not been operationalized for end-users. To address this limitation, this study created an online Brazilian Soil Spectral Service (BraSpecS). The system was based on the Brazilian Soil Spectral Library (BSSL) with samples collected in the Visible–Near–Short-wave infrared (vis–NIR–SWIR) and Midinfrared (MIR) ranges. The interactive platform allows users to find spectra, act as custodians of the data, and estimate several soil properties and classification. The system was tested by 500 Brazilian and 65 international users. Users accessed the platform (besbbr.com.br), uploaded their spectra, and received soil organic …

Comparison Of Stationary And Mobile Canopy Sensing Systems For Irrigation Management Of Maize And Soybean In Nebraska, Sandeep Bhatti, Derek M. Heeren, Susan A. O’Shaughnessy, Steven R. Evett, Mitchell S Maguire, Suresh Pradhyun Kashyap, Christopher M. U. Neale

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Accurate knowledge of plant and field characteristics is crucial for irrigation management. Irrigation can potentially be better managed by utilizing data collected from various sensors installed on different platforms. The accuracy and repeatability of each data source are important considerations when selecting a sensing system suitable for irrigation management. The objective of this study was to compare data from multispectral (red and near-infrared bands) and thermal (long wave thermal infrared band) sensors mounted on different platforms to investigate their comparative usability and accuracy. The different sensor platforms included stationary posts fixed on the ground, the lateral of a center pivot …

Maize Response To Irrigation And Nitrogen Under Center Pivot, Subsurface Drip And Furrow Irrigation: Water Productivity, Basal Evapotranspiration And Yield Response Factors, Ali T. Mohammed, Suat Irmak

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Information and data about quantification and comparison of crop water productivity indices for various irrigation levels and methods and nitrogen (N) application timings “simultaneously” under the same conditions do not exist. Unprecedented and extensive field experiments were conducted for maize (Zea mays L.) in 2016 and 2017 under center pivot (CP), subsurface drip irrigation (SDI) and furrow irrigation (FI) methods with full irrigation treatment (FIT), 80% FIT, 60% FIT and rainfed treatment (RFT) with three N application timings. N treatments were: (i) traditional (TN), (ii) non-traditional-1 (NT-1) and (iii) non-traditional-2 (NT-2). Irrigation yield production functions (IYPF); evapotranspiration-yield production functions …

High Throughput Analysis Of Leaf Chlorophyll Content In Sorghum Using Rgb, Hyperspectral, And Fluorescence Imaging And Sensor Fusion, Huichun Zhang, Yufeng Ge, Xinyan Xie, Abbas Atefi, Nuwan Wijewardane,, Suresh Thapa

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Background: Leaf chlorophyll content plays an important role in indicating plant stresses and nutrient status. Traditional approaches for the quantification of chlorophyll content mainly include acetone ethanol extraction, spectrophotometry and high-performance liquid chromatography. Such destructive methods based on laboratory procedures are time consuming, expensive, and not suitable for high-throughput analysis. High throughput imaging techniques are now widely used for non-destructive analysis of plant phenotypic traits. In this study three imaging modules (RGB, hyperspectral, and fluorescence imaging) were, separately and in combination, used to estimate chlorophyll content of sorghum plants in a greenhouse environment. Color features, spectral indices, and chlorophyll fluorescence …

Maize Response To Coupled Irrigation And Nitrogen Fertilization Under Center Pivot, Subsurface Drip And Surface (Furrow) Irrigation: Soil-Water Dynamics And Crop Evapotranspiration, Ali T. Mohammed, Suat Irmak

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Determination of crop evapotranspiration (ETc) and root zone soil-water dynamics/distribution coupled with nitrogen (N) management strategies is important for effective management of agricultural fields for enhancing production efficiency. However, limited data and knowledge exist that sufficiently inform how soil-water dynamics and ETc response may vary with coupled irrigation levels and different N application timings under different irrigation methods. Extensive field experiments were conducted in 2016 and 2017 under center pivot (CP), subsurface drip irrigation (SDI), and furrow irrigation (FI) at full irrigation treatment (FIT), 80% FIT, 60% FIT, and rainfed treatment (RFT) with N application timing treatments of traditional N …

Inspiring Young Students To Pursue Engineering, Tami M. Brown-Brandl, Brian Steward

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Imagine elementary school students understanding inputs and outputs, choosing appropriate sensors, and programming an autonomous robot. Imagine middle school students learning about PID control and creating advanced programs for sensor-based decision making. Imagine high school students using CAD to design drive trains, manufacturing parts with CNC machine tools, using finite element analysis to adjust the design, ordering custom components from a machine shop, using image processing for target recognition, and applying path planning and motion control. We have witnessed all of these skills. They happened outside of traditional classrooms, and they were all student-driven.

Yes, it’s true, and it’s amazing. …

Resistome And Mobilome In Surface Runoff From Manured Soil As Affected By Setback Distance, Noelle Mware, Maria C. Hall, Selvakumar Rajendran, John E. Gilley, Amy Schmidt, Shannon Bartelt-Hunt, Yifan Zhang, Xu Li

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Land application of livestock manure introduces antibiotic resistance genes (ARGs) and mobile genetic elements (MGEs) into the soil environment. The objectives of this study were to examine the changes of resistome and mobilome in runoff and soil as a function of setback distance, i.e., the distance between manured soil and surface water, and to quantify the contributions of manure and background soil to the ARGs and MGEs in surface runoff. The resistome and mobilome in runoff and soil from a field-scale plot study were characterized using a high throughput quantitative polymerase chain reaction (HT-qPCR) array. It was estimated that a …

Emission Of Volatile Organic Compounds From Land-Applied Beef Cattle Manure As Affected By Application Method, Diet, And Soil Water Condition, Bryan L. Woodbury, John E. Gilley, David B. Parker, David B. Marx

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Land application of beef cattle manure may result in the emission of volatile organic compounds (VOC). This study was conducted to evaluate the effects of diet, land application method, soil water condition, and time since manure application on VOC emissions. Manure was collected from feedlot pens where cattle were fed diets containing 0%, 10%, or 30% wet distillers grains with solubles (WDGS). The effects of manure application method (surface-applied or incorporated) and soil water condition (saturated or wet) on VOC emissions were measured over a 48 h period. Heptanoic, hexanoic, isobutyric, and isovaleric acids contributed 23.5%, 17.6%, 9.26%, and 3.39% …

Unmanned Aerial System-Based Data Ferrying Over A Sensor Node Station Network In Maize, Jasreman Singh, Yufeng Ge, Derek M. Heeren, Elizabeth Walter-Shea, Christopher M. U. Neale, Suat Irmak, Mitchell S. Maguire

Department of Agricultural and Biological Systems Engineering: Faculty Publications

© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Sources Of Variability And Uncertainty In Food-Energy-Water Nexus Systems, Heydi Calderon-Ambelis, Deepak R. Keshwani

Department of Agricultural and Biological Systems Engineering: Faculty Publications

A nexus approach contributes to the strategic allocation of resources to secure food, energy, and water for the world population. Integrated models considering the complex interactions across food, energy, and water (FEW) enhance decision-making and strategic planning towards resilience. However, a significant number of the existing integrated models leave unaddressed the inherent variability and uncertainty present in the FEW sectors. Here, we review the importance of characterizing variability over spatial and temporal scales and the importance of decreasing the uncertainty present within a FEW nexus systems. The review also discusses existing modeling tools that address variability and uncertainty on single …

Modeling Water Quantity And Quality Nonlinearities For Watershed Adaptability To Hydroclimate Extremes In Agricultural Landscapes, Juan Carlos Jaimes-Correa, Francisco Muñoz-Arriola, Shannon Bartelt-Hunt

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Changing water supplies and demands, inherent to climate fluctuations and human activities, are pushing for a paradigm shift in water management worldwide. The occurrence of extreme hydrometeorological and climate events such as extended wet periods and droughts, compounded with contaminants, impair the access to water resources, demanding novel designs, construction, and management across multiple hydrologic scales and biogeochemical processes. A constraint to studying hydrologic and biogeochemical disturbances and improving best management practices for water quantity and quality at the watershed scale resides in the suitable monitoring, data availability, and the creation of frameworks. We hypothesize that streamflow and contaminants, simulated …