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Articles 1171 - 1200 of 59559
Full-Text Articles in Entire DC Network
Engineering Ferrate(Vi) For Water And Wastewater Treatment: Translating Science Into Technology, Zepei Tang, Zhenli He, Yang Deng
Engineering Ferrate(Vi) For Water And Wastewater Treatment: Translating Science Into Technology, Zepei Tang, Zhenli He, Yang Deng
Department of Earth and Environmental Studies Faculty Scholarship and Creative Works
Over the past five decades, ferrate(VI) (FeO42–) for water and wastewater treatment has remained largely at the laboratory scale, with limited pilot- and full-scale implementation. This gap between sustained research and scarce real-world deployment places the technology in the Valley of Death─a high-risk stage of development─and highlights the need for an engineering-centric approach to enable practical application. This article presents an engineering framework to guide the development and translation of ferrate(VI) technology for water and wastewater treatment. From a system perspective, ferrate(VI) technology comprises three core subsystems: generation, treatment, and solid–liquid separation. Technology maturity depends on both the advancement of …
Integrating Multi-Source Data With Machine Learning Techniques To Upscale Wetland Carbon Dioxide Fluxes, Abdullah Sulaiman Abdullah Al Fazari
Integrating Multi-Source Data With Machine Learning Techniques To Upscale Wetland Carbon Dioxide Fluxes, Abdullah Sulaiman Abdullah Al Fazari
Electronic Theses and Dissertations 2020 - Present
Accurate quantification of atmospheric carbon dioxide (CO₂) fluxes in wetland ecosystems is essential for understanding their role in both regional and global carbon dynamics, particularly in the context of climate change. However, the spatial and temporal heterogeneity of wetlands presents major challenges for developing reliable upscaling models. This research developed and validated a comprehensive framework to upscale CO₂ fluxes across the Everglades National Park (ENP) and Big Cypress National Preserve (BCNP) in South Florida through the integration of multi-source datasets, including AmeriFlux eddy covariance (EC) tower measurements, NASA’s BlueFlux airborne CO₂ data, and multispectral satellite imagery from Landsat 8 OLI …
Drainage Proximity And Sinkhole Occurrence In Sivrihisar (Central Turkey): A Comparative Analysis Of Linear, Poisson, And Negative Binomial Regression Models, Bilge Bingül, Emrah Pekkan, Resul Çömert
Drainage Proximity And Sinkhole Occurrence In Sivrihisar (Central Turkey): A Comparative Analysis Of Linear, Poisson, And Negative Binomial Regression Models, Bilge Bingül, Emrah Pekkan, Resul Çömert
International Journal of Speleology
This study investigates the relationship between sinkhole occurrence and distance to drainage in the Sivrihisar region (Central Turkey) and evaluates the suitability of different regression approaches for modeling clustered count data in karst terrains. A comprehensive inventory of 104 sinkholes developed within the Neogene lacustrine limestones of the Akpınar Formation was compiled using official records, remote sensing analyses, and detailed field surveys. Sinkhole occurrences were analyzed relative to a drainage network derived from a high-resolution Digital Surface Model and grouped by proximity to drainage lines. Linear Regression (LM), Poisson Regression (PR), and Negative Binomial Regression (NBR) models were comparatively applied …
Stylemys Nebrascensis Predation Hypothesis, Noah Lohrmeyer, Amanda Peng
Stylemys Nebrascensis Predation Hypothesis, Noah Lohrmeyer, Amanda Peng
SACAD: Scholarly Activities
In 2008 a fossilized tortoise shell was brought into the Sternberg Museum of Natural History. As we prepared the fossil, we observed markings that resembled predation. We are trying to find what species from the White River Formation could preyed on the tortoise. There are few publications on predation for this species. With few publications, we want to find what predator would hunt these species. We cross referenced the site of the tortoise and observed several carnivorous species. We used straight carapace length (Hermanson et al., 2024) and a regression formula (Wilson et al., 2016) to analyze the species we …
Mumm Vs. Minium: A Tale Of Two Quarries, Kale Link, Amanda Peng
Mumm Vs. Minium: A Tale Of Two Quarries, Kale Link, Amanda Peng
SACAD: Scholarly Activities
In 2025, a discrepancy was discovered in the field numbers of a selection of mammal fossils, which had been mistakenly catalogued as originating from the Minium Quarry in Graham County, KS instead of the Mumm Quarry in Rawlins County, KS. While both quarries belong to the Ogallala Formation, they demonstrate differing biostratigraphic ages, faunal assemblages, and taphonomic settings. Mumm is Clarendonian aged, while Minium is Hemphillian. To correct this issue, all the Mumm specimens were assigned to an updated locality with more precise geographic and biostratigraphic data.
Flood Frequency Analysis Of Big Creek, Ryan S. Funai, Jason T. Santoli, Gunnar F. Wainscott, Callen Zurn
Flood Frequency Analysis Of Big Creek, Ryan S. Funai, Jason T. Santoli, Gunnar F. Wainscott, Callen Zurn
SACAD: Scholarly Activities
The primary purpose of flood frequency analysis is to determine a timeframe of potential flood events. Analyzing flood frequency is a process that involves collecting years of quantitative data on discharge rates, calculating the probability of exceeding a certain rate of discharge, and calculating the average interval between events equaling or exceeding a certain rate of discharge. The Big Creek Watershed drainage area covers an area of 549 square miles in Western Kansas, including Ellis, Trego, Gove, and Sheridan Counties. This research analyzes 79 years of data collected by the USGS at the intersection of Big Creek and US-183. Water …
Fhsu Western Kansas Regional Water Quality Study, Gunnar F. Wainscott
Fhsu Western Kansas Regional Water Quality Study, Gunnar F. Wainscott
SACAD: Scholarly Activities
This study, conducted by Fort Hays State University faculty and graduate students, aims to analyze water quality through systematic sampling and analysis of wells, ponds, and streams across the region. Each sample is analyzed for a suite of eighteen parameters, such as arsenic, lead, nitrate, etc. By combining laboratory results with spatial data, this project seeks to identify regional patterns, establish a foundation for future monitoring efforts, and provide participating landowners with clear, accessible information about their own water quality.
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