Geospatial Synthesis Of Biogeochemical Attributions Of
Porphyrins To Oil Pollution In Marine Sediments Of The Gulf
Of México,
2022
University of Nebraska-Lincoln
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,
2022
University of São Paulo
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 …
Unmanned Aerial System-Based Data Ferrying Over A Sensor
Node Station Network In Maize,
2022
University of Missouri
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/).
High Throughput Analysis Of Leaf Chlorophyll
Content In Sorghum Using Rgb, Hyperspectral,
And Fluorescence Imaging And Sensor Fusion,
2022
University of Nebraska – Lincoln & Nanjing Forestry University
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 Irrigation And Nitrogen Under Center Pivot, Subsurface Drip And Furrow Irrigation: Water Productivity, Basal Evapotranspiration And Yield Response Factors,
2022
University of Nebraska–Lincoln
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 …
Sources Of Variability And Uncertainty In Food-Energy-Water Nexus Systems,
2022
University of Nebraska-Lincoln
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,
2022
University of Nebraska-Lincoln
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 …
Comparison Effect On Biogas Production From Vegetable And Fruit Waste With Rumen Digesta Through Co-Digestion Process,
2022
Sylhet Agricultural University
Comparison Effect On Biogas Production From Vegetable And Fruit Waste With Rumen Digesta Through Co-Digestion Process, Anika Tasnim, Muhammad Rashed Al Mamun, Md Anwar Hossen, Md Towfiqur Rahman, Md Janibul Alam Soeb
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Biogas is the best renewable energy as it can be produced from any biomass for example any plant or living organism. The purpose of this research was to produce biomethane from co-digestion of vegetable and fruit waste with rumen digesta through anaerobic digestion process. In this research, two trials of experiment were conducted. Each trial has three different sample with different mixing ratios. Raw materials used in the experiment was rumen digesta of goat and cow, potato, capsicum, cucumbers, onions, radish, cauliflower, carrot, leafy vegetables, apple, banana, and papaya. In each sample, 1200 gram of raw materials were used. Hydraulic …
Influences Of Artificial Light On Mating Of Black Soldier Fly (Hermetia Illucens): A Review,
2022
Sylhet Agricultural University
Influences Of Artificial Light On Mating Of Black Soldier Fly (Hermetia Illucens): A Review, Md Rabiul Awal, Md Masudur Rahman, Md Abdur Razzak Choudhury, Md Mehedi Hasan, Md Towfiqur Rahman, Md Fuad Mondal
Department of Agricultural and Biological Systems Engineering: Faculty Publications
Black soldier fly (Hermetia illucens) is a potential insect species which can convert biodegradable materials and some indigestible organic waste into valuable biomass. Because of having good quality of fat and protein, its production and use in animal feed are being extended day by day. To fulfill the future demand re-searchers are trying to find out the successful mass rearing techniques of H. illucens in laboratory or indoor condition. However, the most critical part of H. illucens mass production is obtaining successful mating. This insect is very sensitive to light. It prefers direct sunlight for its …
Causes Influencing Construction Waste Generation During The Design Process: An Analytical Study,
2022
The British University in Egypt
Causes Influencing Construction Waste Generation During The Design Process: An Analytical Study, Aya Saad, Ayman Ahmed Ezzat Othman
Architectural Engineering
Despite the social and economic contributions of the construction industry towards achieving sustainable development objectives, it has an adverse effect on the environment such as the generation of waste, water, and energy consumption. Construction waste (CW) is the loss of materials that are produced during or after the construction process and has no remaining value. Several countries promote waste elimination plans at early stages to reduce CW at its source. The Egyptian government is expanding its investments in new mega projects and infrastructure facilities like new administrative capital, bridges, roads, energy projects which resulted in increasing the rate and amount …
Inspiring Young Students To Pursue Engineering,
2022
University of Nebraska-Lincoln
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. …
การบำบัดน้ำเสียแอมโมเนียมความเข้มข้นสูงโดยเม็ดตะกอนจุลินทรีย์แบบใช้อากาศ,
2022
คณะวิศวกรรมศาสตร์
การบำบัดน้ำเสียแอมโมเนียมความเข้มข้นสูงโดยเม็ดตะกอนจุลินทรีย์แบบใช้อากาศ, สิริณิศา สุขวิบูลย์
Chulalongkorn University Theses and Dissertations (Chula ETD)
งานวิจัยนี้ศึกษาการสร้างเม็ดตะกอนจุลินทรีย์แบบใช้อากาศและอัตราการบำบัดของน้ำเสียที่มีแอมโมเนียมสูง ผลการทดลองพบว่าเกิดเม็ดตะกอนจุลินทรีย์แบบใช้อากาศในน้ำเสียแอมโมเนียมสูง (200 mg-N/l) มีลักษณะใกล้เคียงกันกับน้ำเสียแอมโมเนียมต่ำ (50 mg-N/l) ระบบมีค่าดัชนีปริมาตรตะกอนเฉลี่ย (SVI) ในถังปฏิกรณ์ที่ 1 และ 2 เท่ากับ 23.07±3.1 และ 20.46±2.7 มิลลิลิตรต่อกรัมตามลำดับ ค่าปริมาณของแข็งแขวนลอย (MLSS) ในถังปฏิกรณ์ที่ 1 และ 2 เท่ากับ 10,784±608 และ 11,067±678 มิลลิกรัมต่อลิตรตามลำดับ ความเข้มข้นตะกอนก้นถังในถังปฏิกรณ์ที่ 1 และ 2 เท่ากับ 33,732±2468 และ 34,696±1741 มิลลิกรัมต่อลิตรตามลำดับ พบขนาดเม็ดตะกอนในถังฏิกรณ์ที่ 1 และ 2 เท่ากับ 3.4±0.9 และ 4.5±1.0 มิลลิเมตร ความหนาแน่นของตะกอนจุลินทรีย์เท่ากับ 1.166±0.01 กรัมต่อมิลลิลิตร โครงสร้างตะกอนอัดแน่นและมีการกระจายตัวทั่วถังปฏิกรณ์ทั้งสองถังเมื่อเดินระบบเป็นระยะเวลา 85 วัน เม็ดตะกอนจุลินทรีย์แบบใช้อากาศที่เกิดขึ้นสามารถบำบัดน้ำเสียแอมโมเนียมความเข้มข้น 200 mg-N/l ภายใน 2 วัน อัตราการบำบัดเป็นไปตาม Monod’s kinetic โดยมีค่าอัตราการบำบัดแอมโมเนียมสูงสุด (Km) เท่ากับ 33.9±3.3 มิลลิกรัมไนโตรเจนต่อลิตรต่อชั่วโมงและความเข้มข้นแอมโมเนียมที่อัตราการย่อยสลายครึ่งหนึ่งของอัตราการย่อยสลายสูงสุด (Ks) เท่ากับ 67.9±15.9 มิลลิกรัมต่อลิตร
On A New Framework For Detecting, Classifying, And Forecasting Floods For Large-Scale Flood Risk Analysis,
2022
CUNY City College of New York
On A New Framework For Detecting, Classifying, And Forecasting Floods For Large-Scale Flood Risk Analysis, Equisha Glenn
Dissertations and Theses
Increasing trends in flooding events are projected to continue as climate changes have increased the chance of extreme weather events. Given the significant, damaging impacts of extreme floods, the ability to effectively model floods is crucial for risk management and mitigation of the impacts of these extreme flooding events. This dissertation presents a new framework for detecting and predicting large-scale flood risk in the United States using climate information. This methodology categorizes regional, simultaneous floods into an index that is used to forecast the risk of extreme flooding a season ahead. The index proposed herein, named the Spatial Flood Index …
Data Fusion And Synergy Of Active And Passive Remote Sensing; An Application For Freeze Thaw Detections,
2022
CUNY City College
Data Fusion And Synergy Of Active And Passive Remote Sensing; An Application For Freeze Thaw Detections, Zahra Sharifnezhadazizi
Dissertations and Theses
There has been a recent evolvement in the field of remote sensing after increase of number satellites and sensors data which could be fused to produce new data and products. These efforts are mainly focused on using of simultaneous observations from different platforms with different spatial and temporal resolutions. The research dissertation aims to enhance the synergy use of active and passive microwave observations and examine the results in detection land freeze and thaw (FT) predictions. Freeze thaw cycles particularly in high-latitude regions have a crucial role in many applications such as agriculture, biogeochemical transitions, hydrology and ecosystem studies. The …
Crop Water Deficits And Their Season-Ahead Climate Determinants Across The United States,
2022
CUNY City College
Crop Water Deficits And Their Season-Ahead Climate Determinants Across The United States, Siena W. Dante
Dissertations and Theses
The agricultural sector in the United States provides an essential food and revenue source and it faces severe challenges due to increasing climate variability, which reduces reliable access to water needed for the crops. Unreliable access to water and the potential for drought result in major economic losses to the sector as well as potentially significant environmental damage. It is thus necessary to mitigate the effects of drought as well as to develop agricultural practices that include preparedness strategies for droughts. To develop these strategies, comprehensive information about droughts must be available early enough to consider before the growing season. …
Allocative Efficiency Of Grid Farming In Urban Green Built Environments,
2022
CUNY New York City College of Technology
Allocative Efficiency Of Grid Farming In Urban Green Built Environments, Aaryan Manoj Nair
Publications and Research
As of a 2019 study conducted by the National Urban Gardening Program (National Urban Gardening Program), urban farming accounts for approximately 19% of the total national farming output and is expected to triple to almost 45% by 2025. There is intensive research being conducted on aspects of reduced recidivism, communal health benefits, natural carbon capture systems, improved urban ecology and the necessity for reducing the carbon footprint of food, (informally dubbed “food miles”) there is little substantive research on optimization, and maximation of crop productivity in hyper-urban areas. The article attempts to study allocative efficiency in hyper urban built environments.
The Improvement Of The Regional Regulatory Governance System For Radiation Risk Management: Spatial Analysis On Radiation Hazards In South Korea,
2022
Korea Institute of Nuclear Safety
The Improvement Of The Regional Regulatory Governance System For Radiation Risk Management: Spatial Analysis On Radiation Hazards In South Korea, Sangwon Lee, Jaewon Lim, Chan Goo Yi
Public Policy and Leadership Faculty Research
Since the 2011 Fukushima nuclear power plant accident, nuclear regulators have strength-ened safety standards or decided to decommission the nuclear power plant. The vast majority of radiation is from nuclear power plants, so safety measures are also concentrated in nuclear power plants. Radioactive materials located much closer to the people are scattered around the nation. However, it is difficult for citizens to predict the radiation risk around them because regulatory agencies do not provide adequate information on radiation. The main goal of this study is to analyze the spatial distribution patterns of radioactive materials that serve as indicators for potential …
Predictions Of Produced Water Quality And Recycled Water Optimization For Spatially-Distributed Wells In Point Pleasant Formation,
2022
West Virginia University
Predictions Of Produced Water Quality And Recycled Water Optimization For Spatially-Distributed Wells In Point Pleasant Formation, Armel Quentin Mbakop
Graduate Theses, Dissertations, and Problem Reports (ETD)
The treatment of produced water as a fracturing fluid is becoming an increasingly important aspect of water management surrounding the booming of the unconventional oil and gas industry. Two main problems facing the oil and gas industry are the availability of water for well drilling and completion and disposal of the produced water. Unconventional well drilling and completion in the Utica shale requires large amounts of water. The wastewater that results after production—containing high levels of organic and inorganic matter— is usually disposed of through deep well injection. A new approach reuses this produced water as part of subsequent fracturing …
Detection Of Fecal Bacteria In Watersheds Impacted By Acid Mine Drainage,
2022
West Virginia University
Detection Of Fecal Bacteria In Watersheds Impacted By Acid Mine Drainage, Claire Addison Mcdonald
Graduate Theses, Dissertations, and Problem Reports (ETD)
Escherichia coli, a fecal coliform, is an essential component of water quality monitoring, entering waterways through sewage deposits, agricultural land and livestock, and wildlife. Various fast and user-friendly methods for quantifying E. coli make it the principal indicator bacteria for fecal contamination. The most common methods for E. coli quantification are culture-based and involve cultivating samples onto nutrient agar and counting the visible colonies. However, E. coli can enter a viable but non-culturable (VBNC) state in stressful environments. Bacteria in a VBNC state are still alive but reduce key metabolic activities that typically encourage growth and division, allowing them …
Application Of Artificial Intelligence For Co2 Storage In Saline Aquifer (Smart Proxy For Snap-Shot In Time), Marwan Mohammed Alnuaimi
Graduate Theses, Dissertations, and Problem Reports (ETD)
In recent years, artificial intelligence (AI) and machine learning (ML) technology have grown in popularity. Smart Proxy Models (SPM) are AI/ML based data-driven models which have proven to be quite crucial in petroleum engineering domain with abundant data, or operations in which large surface/ subsurface volume of data is generated. Climate change mitigation is one application of such technology to simulate and monitor CO2 injection into underground formations.
The goal of the SPM developed in this study is to replicate the results (in terms of pressure and saturation outputs) of the numerical reservoir simulation model (CMG) for CO2 injection into …
