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Modelling The Throttle Effect In A Mine Drift, Rickard Hansen

Journal of Sustainable Mining

The throttle effect is a phenomenon, which may occur during a fire underground, causing unforeseen smoke spread. This paper focuses on the modelling of the throttle effect in a mine drift, using a CFD software. The aim of the paper is to investigate whether the CFD tool is able to predict and reproduce the throttle effect for fire scenarios underground. Experimental data from fire experiments in a model-scale mine drift and modelling results from a CFD model were used during the analysis. It was found that the CFD model was not able to fully reproduce the throttle effect for fire …

A Unified Dataset Of Colocated Sewage Pollution, Periphyton, And Benthic Macroinvertebrate Community And Food Web Structure From Lake Baikal (Siberia), Michael F. Meyer, Ted Ozersky, Kara H. Woo, Kirill Shchapov, Aaron W. E. Galloway, Julie B. Schram, Daniel D. Snow, Maxim A. Timofeyev, Dmitry Yu. Karnaukhov, Matthew R. Brousil, Stephanie E. Hampton

School of Natural Resources: Faculty Publications

Sewage released from lakeside development can introduce nutrients and micropollutants that can restructure aquatic ecosystems. Lake Baikal, the world’s most ancient, biodiverse, and voluminous freshwater lake, has been experiencing localized sewage pollution from lakeside settlements. Nearby increasing filamentous algal abundance suggests benthic communities are responding to localized pollution. We surveyed 40-km of Lake Baikal’s southwestern shoreline from 19 to 23 August 2015 for sewage indicators, including pharmaceuticals, personal care products, and microplastics, with colocated periphyton, macroinvertebrate, stable isotope, and fatty acid samplings. The data are structured in a tidy format (a tabular arrangement familiar to limnologists) to encourage reuse. Unique …

Tracking Spatial Regimes In Animal Communities: Implications For Resilience-Based Management, C. P. Roberts, D. Uden, C. Allen, D. G. Angler, L. A. Powell, B. Allred, J. D. Maestas, R. Twidwell Jr.

School of Natural Resources: Faculty Publications

No abstract provided.

Comparative Geospatial Approach For Agricultural Crops Identification In Interfluvial Plain - A Case Study Of Sahiwal District, Pakistan, Danish Raza, Hong Shu, Sami Ullah Khan, Muhsan Ehsan, Urooj Saeed, Hasnat Aslam, Rana Waqar Aslam, Muhammed Arshad

School of Natural Resources: Faculty Publications

Agricultural crop cover identification is a major issue and time-consuming effort to verify the crop type through surveys of the individual field or using prehistoric methods. To establish the scenario of crop identification, the stage of crop provides diverse spatial information about the variety of crops due to its spectral changes. The main aim of this study was to the identify the crop types and their behavior using remote sensing and geographical information system-based approach. Moreover, two main methods were applied to the Sentinel-2 satellite data in which one is random forest based supervised classification and another was Normalize Difference …

Feasibility Assessment On Use Of Proximal Geophysical Sensors To Support Precision Management, Sophia M. Becker, Trenton E. Franz, Olufemi P. Abimbola, Dean D. Steele, J. Paulo Flores, Xinhua Jia, Thomas F. Scherer, Daran Rudnick, Christopher M.U. Neale

School of Natural Resources: Faculty Publications

A study was conducted at three sites in North Dakota to strengthen understanding

of the usefulness of different proximal geophysical data types in agricultural contexts of varying pedology. This study hypothesizes that electromagnetic induction (EMI), gamma-ray sensor (GRS), cosmic-ray neutron sensor (CRNS), and elevation data layers are all useful in multiple linear regression (MLR) predictions of soil properties that meet expert criteria at three agricultural sites. In addition to geophysical data collection with vehicle-mounted sensors, 15 soil samples were collected at each site and analyzed for nine soil properties of interest. A set of model training data was compiled by …

Remotely Detected Aboveground Plant Function Predicts Belowground Processes In Two Prairie Diversity Experiments, Jeannine Cavender-Bares, Anna K. Schweiger, John Gamon, Hamed Gholizadeh, Kimberly Helzer, Cathleen Lapadat, Michael D. Madritch, Philip A. Townsend, Zhihui Wang, Sarah E. Hobbie

School of Natural Resources: Faculty Publications

Imaging spectroscopy provides the opportunity to incorporate leaf and canopy optical data into ecological studies, but the extent to which remote sensing of vegetation can enhance the study of belowground processes is not well understood. In terrestrial systems, aboveground and belowground vegetation quantity and quality are coupled, and both influence belowground microbial processes and nutrient cycling. We hypothesized that ecosystem productivity, and the chemical, structural and phylogenetic-functional composition of plant communities would be detectable with remote sensing and could be used to predict belowground plant and soil processes in two grassland biodiversity experiments: the BioDIV experiment at Cedar Creek Ecosystem …

Joint Effects Of Climate, Tree Size, And Year On Annual Tree Growth Derived From Tree-Ring Records Of Ten Globally Distributed Forests, Kristina J. Anderson-Teixeira, Valentine Herrmann, Christine R. Rollinson, Bianca Gonzalez, Erika B. Gonzalez-Akre, Neil Pederson, M. Ross Alexander, Craig D. Allen, Raquel Alfaro-Sánchez, Tala Awada, Jennifer L. Baltzer, Patrick J. Baker, Joseph D. Birch, Sarayudh Bunyavejchewin, Paolo Cherubini, Stuart J. Davies, Cameron Dow, Ryan Helcoski, Jakub Kašpar, James A. Lutz, Ellis Q. Margolis, Justin T. Maxwell, Sean M. Mcmahon, Camille Piponiot, Sabrina E. Russo, Pavel Šamonil, Anastasia E. Sniderhan, Alan J. Tepley, Ivana Vašíčková, Mart Vlam, Pieter A. Zuidema

School of Natural Resources: Faculty Publications

Tree rings provide an invaluable long-term record for understanding how climate and other drivers shape tree growth and forest productivity. However, conventional tree-ring analysis methods were not designed to simultaneously test effects of climate, tree size, and other drivers on individual growth. This has limited the potential to test ecologically relevant hypotheses on tree growth sensitivity to environmental drivers and their interactions with tree size. Here, we develop and apply a new method to simultaneously model nonlinear effects of primary climate drivers, reconstructed tree diameter at breast height (DBH), and calendar year in generalized least squares models that account for …

Cubesat Constellations Provide Enhanced Crop Phenology And Digital Agricultural Insights Using Daily Leaf Area Index Retrievals, Kasper Johansen, Matteo G. Ziliani, Rasmus Houborg, Trenton E. Franz, Matthew F. Mccabe

School of Natural Resources: Faculty Publications

Satellite remote sensing has great potential to deliver on the promise of a data-driven agricultural revolution, with emerging space-based platforms providing spatiotemporal insights into precisionlevel attributes such as crop water use, vegetation health and condition and crop response to management practices. Using a harmonized collection of high-resolution Planet CubeSat, Sentinel-2, Landsat-8 and additional coarser resolution imagery from MODIS and VIIRS, we exploit a multisatellite data fusion and machine learning approach to deliver a radiometrically calibrated and gap-filled time-series of daily leaf area index (LAI) at an unprecedented spatial resolution of 3 m. The insights available from such high-resolution CubeSat-based LAI …

Phylogenetic Risk Assessment Is Robust For Forecasting The Impact Of Non-Native Insects On North American Trees, D. Uden, A. Mech, N. Havill, A. Schulz, M. Ayres, D. Herms, A. Hoover, K. Gandhi, R. Hufbauer, A. Liebhold, T. Marsico, K. Raffa, K. Thomas, P. Tobin, C. Allen

School of Natural Resources: Faculty Publications

No abstract provided.

Incipient Woody Plant Encroachment Near Native Tree Plantings Signals Heightened Vulnerability For An Intact Grassland Region, D. Fogarty, C. Allen, D. Twidwell Jr.

School of Natural Resources: Faculty Publications

No abstract provided.

Accuracies Of Field Co2-H2o Data From Open-Path Eddy-Covariance Flux Systems: Assessment Based On Atmospheric Physics And Biological Environment, X. Zhou, T. Gao, N. Zheng, B. Yang, Y. Li, F. Yu, T. Awada, J. Zhu

School of Natural Resources: Faculty Publications

No abstract provided.

Flowerphenonet: Automated Flower Detection From Multi-View Image Sequences Using Deep Neural Networks For Temporal Plant Phenotyping Analysis, S. D. Choudhury, S. Guha, A. Das, A. K. Das, A. K. Samal, T. N. Awada

School of Natural Resources: Faculty Publications

No abstract provided.

Farmer Perspectives On Collaboration: Evidence From Agricultural Landscapes In Arizona, Nebraska, And Pennsylvania, W. M. Eaton, K. J. Brasier, H. Whitley, B. C. Julia, C. C. Hinrichs, B. Quimby, M. Burbach

School of Natural Resources: Faculty Publications

No abstract provided.

Perceived And Experienced Constraint Negotiation: Do First-Time Elk Hunters Know What They Are In For?, M. P. Gruntorad, C. Chizinski

School of Natural Resources: Faculty Publications

No abstract provided.

Using Critical Integrative Argumentation To Assess Socioscientific Argumentation Across Decision-Making Contexts, R. Sparks, P. C. Jimenez, C. Kirby, J. Dauer

School of Natural Resources: Faculty Publications

No abstract provided.

Evaluation Of Long-Term Degree-Days Estimated With Several Methods For Corn In Nebraska, Usa, S. Dai, M. Shulski, H. Yang, R. Elmore

School of Natural Resources: Faculty Publications

No abstract provided.

Crop Water Stress Index Computation Approaches And Their Sensitivity To Soil Water Dynamics, A. Katimbo, D. Rudnick, K. Dejonge, T. Lo, T. Franz, H. N. Nakabuye, J. Duan

School of Natural Resources: Faculty Publications

No abstract provided.

Anoxia Tolerance In Four Forensically Important Calliphorid Species, M. Authement, L. Higley, W. Hoback

School of Natural Resources: Faculty Publications

No abstract provided.

Field Performance Of The Gaugecam Image-Based Water Level Measurement System, F. Birgand, K. Chapman, A. Hazra, T. Gilmore, R. Etheridge, A. M. Staicu

School of Natural Resources: Faculty Publications

No abstract provided.

Open-Source Software For Water-Level Measurement In Images With A Calibration Target, K. W. Chapman, T. Gilmore, C. D. Chapman, F. Birgand, A. Mittelstet, M. Harner, M. Mehrubeoglu, J. E. Stranzl Jr.

School of Natural Resources: Faculty Publications

No abstract provided.

Blue Catfish Population Characteristics And Dispersal Along A Great Plains River Gradient, Q. J. Dean, J. P. Werner, Mark A. Pegg, M. J. Hamel

School of Natural Resources: Faculty Publications

No abstract provided.

Evaluation Of Aggregate Stability Methods For Soil Health, E. L. Reike, D. K. Bagnall, C.L.S. Morgan, K. D. Flynn, Andrew E. Suyker Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Selecting Soil Hydraulic Properties As Indicators Of Soil Health: Measurement Response To Management And Site Characteristics, D. K. Bagnall, C.L.S. Morgan, G. Mac Bean, D. Liptzin, Andrew E. Suyker Et Al.

School of Natural Resources: Faculty Publications

No abstract provided.

Power-Function Expansion Of The Polynomial Complementary Relationship Of Evaporation, Jozsef Szilagyi, N. Ma, R. Crago, R. Qualls

School of Natural Resources: Faculty Publications

No abstract provided.

Comment On “On The Estimation Of Potential Evaporation Under Wet And Dry Conditions” By Z. Tu And Y. Yang, Jozsef Szilagyi

School of Natural Resources: Faculty Publications

No abstract provided.

Estimation Of Catchment Response Time Using A New Automated Event-Based Approach, E. Nagy, Jozsef Szilagyi, P. Torma

School of Natural Resources: Faculty Publications

No abstract provided.

Association Of Zoonotic Protozoan Parasites With Microplastics In Seawater: Implications For Human And Wildlife Health, E. Zhang, M. Kim, L. Rueda, C. Rochman, E. Vanwormer, J. Moore, K. Shapiro

School of Natural Resources: Faculty Publications

No abstract provided.

Mercury Methylation In Oxic Sub-Polar Marine Regions Linked With Nitrification, Marissa Collins Despins

Browse all Theses and Dissertations

Methylmercury (MeHg) is a neurotoxin that bioaccumulates to potentially harmful concentrations in Arctic marine wildlife and in those that consume them. Monitoring and modeling MeHg bioaccumulation and biogeochemical cycling in the ocean requires understanding of the mechanisms behind net mercury (Hg) methylation. The key functional gene for Hg methylation, hgcAB, is widely distributed throughout ocean basins and spans multiple microbial phyla. While multiple microbially-mediated anaerobic pathways for Hg methylation are known, in the ocean, the majority of hgcA homologs have been found in oxic subsurface waters, in contrast to other ecosystems. In particular, microaerophilic Nitrospina, a genera of nitrite-oxidizing bacteria …

Supervised Machine Learning Techniques Applied To Low-Cost Air Quality Sensor Suites, Peter Wahman

All Undergraduate Theses and Capstone Projects

Low-cost PM sensors have garnered interest for their ability to reduce the cost of investigating PM concentrations in both indoor and outdoor spaces. They perform well in high concentration lab testing with correlation coefficients greater than 0.9. In real-world applications, the correlation coefficients drop significantly because of sensing floors and adverse ambient conditions. There are plenty of supervised machine learning techniques that aim to correct the measurements ranging from linear regression to more advanced neural networks and random forests. This work aims to use those more complicated techniques to adjust the measurements using other data sets gathered by a sensor …

Ms Environmental Biology Capstone Project, Dylan Brown

Regis University Student Publications (comprehensive collection)

Chapter 1- Revisiting Tamarisk Invasion in Riparian Ecosystems: An Argument Against Single Species Management of the Southwestern Willow Flycatcher (Empidonax traillii extimus)

Chapter 2- Temporal Trends of Tamarisk Remediation to Native Vegetation Establishment

Chapter 3- Assessing Effectiveness of Tamarisk Removal Treatments Through a Meta Regression Analysis

Chapter 4- Legal Challenges of Tamarisk Removal in the Southwestern United States