Oil spill modeling: computational tools, analytical frameworks, and emerging technologies

2018 ◽  
Vol 43 (1) ◽  
pp. 129-143 ◽  
Author(s):  
Jake R. Nelson ◽  
Tony H. Grubesic
Keyword(s):  
Oil Spill ◽  
Emerging Technologies ◽  
Computational Tools ◽  
Gis And Remote Sensing ◽  
Response Strategies ◽  
Wide Range ◽  
Oil Spill Modeling ◽  
In Situ Sensing ◽  
Analytical Frameworks

Following the Deepwater Horizon oil spill of 2010, a substantial body of research has focused on the development of computational tools and analytical frameworks for modeling oil spill events. Much of this work is dedicated to deepening our understanding of the interactions between oil, fragile ecosystems, and the environment, as well as the impacts of oil on human settlements which are vulnerable to spill events. These advances in oil spill modeling and associated analytics have not only increased the efficiency of spill interdiction and mitigation efforts, they have also helped to nurture proactive, versus reactive, response strategies and plans for local and regional stakeholders. The purpose of this paper is to provide a progress report on the wide range of computational tools, analytical frameworks, and emerging technologies which are necessary inputs for a complete oil spill modeling package. Specifically, we explore the use of relatively mature tools, such as dedicated spill modeling packages, geographic information systems (GIS), and remote sensing, as well emerging technologies such as aerial and aquatic drones and other in-situ sensing technologies. The integration of these technologies and the advantages associated with using a geographic lens for oil spill modeling are discussed.

MODELING FATES AND IMPACTS OF HYPOTHETICAL OIL SPILLS IN DELAWARE, FLORIDA, TEXAS, CALIFORNIA, AND ALASKA WATERS, VARYING RESPONSE OPTIONS INCLUDING USE OF DISPERSANTS

2005 ◽  
Vol 2005 (1) ◽  
pp. 735-740 ◽  
Author(s):  
Deborah French McCay ◽  
Nicole Whittier ◽  
Colleen Dalton ◽  
Jill Rowe ◽  
Subbayya Sankaranarayanan ◽  
...  
Keyword(s):  
San Francisco ◽  
Oil Spill ◽  
Mechanical Response ◽  
Florida Keys ◽  
Stochastic Approach ◽  
Biological Species ◽  
Response Options ◽  
Response Strategies ◽  
Oil Spill Modeling

ABSTRACT Oil spill response may include use of chemical dispersants and in situ burning equipment, in addition to traditional mechanical response equipment. To evaluate the potential impacts of various response strategies, oil spill and atmospheric plume modeling were performed to evaluate areas of the atmosphere at sea level, water areas, shoreline lengths, sediment areas, and water volumes impacted above thresholds of concern to biological species and habitats, human health and socioeconomic resources. For the oil spill modeling, a stochastic approach was used to allow the range and frequency of possible environmental conditions to be examined for each spill site, spill volume and response option evaluated. Long term (decade or more) wind and current records were sampled at random and model runs were performed for each of the spill dates-times selected. This provides a statistical description of the environmental fate and impacts that would result if a spill occurred. Stochastic modeling was performed in five representative locations in the US: (1) offshore of Delaware Bay, (2) offshore of Galveston Bay, (3) offshore of San Francisco Bay, (4) Prince William Sound, and (5) offshore of the Florida Keys. These data were used to evaluate potential impacts of changes in response strategies, i.e., combining use of dispersants and in situ burning with traditional mechanical recovery. The results of the oil spill modeling for the Florida Straits location are summarized herein.

Recent Results from Oil Spill Response Research

1991 ◽  
Vol 1991 (1) ◽  
pp. 673-676
Author(s):  
Edward Tennyson
Keyword(s):  
Oil Spill ◽  
Oil Spills ◽  
Management Service ◽  
Research Projects ◽  
Response Strategies ◽  
Yield Information ◽  
Environmental Test ◽  
Oil Spill Response ◽  
Spilled Oil

ABSTRACT Recent large oil spills from tankers have reaffirmed the need for continuing technology assessment and research to improve oil-spill response capabilities. The Minerals Management Service (MMS) remains a lead agency in conducting these studies. This paper discusses MMS concerns, as reinforced by the acceleration of its research program in 1990. It briefly assesses the current state-of-the-art technology for major aspects of spill response, including remote sensing, open-ocean containment, recovery, in-situ burning, chemical treating agents, beach-line cleanup, and oil behavior. The paper reports on specific research projects that have begun to yield information that will improve detection and at-sea equipment performance. The first detection project, for which MMS has patent pending, involves the use of shipboard navigational radar to track slicks at relatively long range. The second project involves the use of conventional containment and cleanup in a downwind mode, which is contrary to the traditional procedures. The paper also discusses current research projects, including the development of an airborne, laser-assisted fluorosensor that can determine whether apparent slicks contain oil. Additional projects involve the development of improved strategies for responding to oil in broken-ice conditions, for gaining an improved understanding of the fate and behavior of spilled oil as it affects response strategies, and for reopening and operating the oil and hazardous materials simulated environmental test tank (OHMSETT) facility in Leonardo, New Jersey. Recent progress on the development of safe and environmentally acceptable strategies to burn spilled oil in-situ is also discussed. The OHMSETT facility is necessary for testing prospective improvements in chemical treating agents and to develop standard procedures for testing and evaluating response equipment.

RESULTS FROM OIL SPILL RESPONSE RESEARCH—AN UPDATE

1993 ◽  
Vol 1993 (1) ◽  
pp. 541-544 ◽  
Author(s):  
Edward J. Tennyson
Keyword(s):  
Oil Spill ◽  
Oil Spills ◽  
Management Service ◽  
Response Strategies ◽  
Yield Information ◽  
Broken Ice ◽  
Oil Spill Response ◽  
Ice Conditions ◽  
Spilled Oil

ABSTRACT Recent large oil spills from tankers have reaffirmed the need for continuing technology assessment and research to improve oil spill response capabilities. This paper discusses Minerals Management Service concerns, as reinforced by the acceleration of its research program in 1990. It briefly assesses current state-of-the-art technology for major aspects of spill response, including remote sensing, open-ocean containment and recovery, in-situ burning, use of chemical treating agents, beachline cleanup, and oil behavior. Specific research projects have begun to yield information that will improve detection and at-sea equipment performance; current projects, include the development of an airborne laser-fluorosensor to determine whether apparent slicks contain oil. Additional projects involve the development of improved strategies for responding to oil in broken-ice conditions, for gaining an improved understanding of the fate and behavior of spilled oil as it affects response strategies, and for defining the capabilities of available dispersants and development of improved formulations. Recently progress has been made on the development of safe and environmentally acceptable strategies to burn spilled oil in situ. The Ohmsett facility has been reopened and will be used to test prospective improvements in chemical treating agents and to develop standard procedures for testing and evaluating response equipment. Results of research published since the last Oil Spill Conference are discussed.

scholarly journals TOWARDS AN INTEGRATED EARTH OBSERVATION SCIENCE IN A BIG EARTH DATA ERA

2020 ◽  
Vol XLII-3/W10 ◽  
pp. 63-66
Author(s):  
T. Blaschke
Keyword(s):  
Remote Sensing ◽  
Data Science ◽  
World View ◽  
Spatial Scales ◽  
Earth Observation ◽  
Gis And Remote Sensing ◽  
Spatial And Temporal Scales ◽  
Wide Range ◽  
Abrupt Changes

Abstract. Earth observation (EO) data – including satellite-borne, airborne or drone-based imagery – have become indispensable for the monitoring of the environment. EO supports tackling the ‘grand challenges’ at global spatial scales, such as global change and climate variability technology but also retail or insurance. Like a macroscope, it opens research avenues to observe processes occurring over a wide range of spatial and temporal scales, from abrupt changes such as earthquakes, to decadal shifts such as growth and shrinkage of ice sheets. Particularly satellite data became a success story and empowered individuals, businesses and society. Until a few years ago, the term remote sensing mainly stood for a digital raster world view while the GIS community was inclined to the vector world. “Earth Observation” seems to be integrative and to accommodate various means of data acquisition from satellites, aircrafts, drones, to in situ measurements. Today the rapid growth of data science, the consumerization of GIS and remote sensing, and the continued spread of online cartographic tools are prompting a more holistic Earth Observation Science and interdisciplinary educational programmes.

In-situ electrical-resistivity measurements in the high-voltage electron microscope

1978 ◽  
Vol 36 (1) ◽  
pp. 68-69
Author(s):  
W. E. King
Keyword(s):  
Electrical Resistivity ◽  
Electron Microscope ◽  
High Voltage ◽  
Resistivity Measurements ◽  
Voltage Electron ◽  
High Voltage Electron Microscope ◽  
High Voltage Electron ◽  
Wide Range ◽  
Helium Gas

A side-entry type, helium-temperature specimen stage that has the capability of in-situ electrical-resistivity measurements has been designed and developed for use in the AEI-EM7 1200-kV electron microscope at Argonne National Laboratory. The electrical-resistivity measurements complement the high-voltage electron microscope (HVEM) to yield a unique opportunity to investigate defect production in metals by electron irradiation over a wide range of defect concentrations.A flow cryostat that uses helium gas as a coolant is employed to attain and maintain any specified temperature between 10 and 300 K. The helium gas coolant eliminates the vibrations that arise from boiling liquid helium and the temperature instabilities due to alternating heat-transfer mechanisms in the two-phase temperature regime (4.215 K). Figure 1 shows a schematic view of the liquid/gaseous helium transfer system. A liquid-gas mixture can be used for fast cooldown. The cold tip of the transfer tube is inserted coincident with the tilt axis of the specimen stage, and the end of the coolant flow tube is positioned without contact within the heat exchanger of the copper specimen block (Fig. 2).

Site specific agricultural soil management with the use of new technologies

2013 ◽  
Vol 16 (1) ◽  
pp. 59-67
Keyword(s):  
New Technologies ◽  
Digital Interface ◽  
Appropriate Treatment ◽  
Wide Range ◽  
Soil Variation ◽  
Soil Information ◽  
Remote Sensing Techniques ◽  
Agricultural Areas

<p>The Soil Science Institute of Thessaloniki produces new digitized Soil Maps that provide a useful electronic database for the spatial representation of the soil variation within a region, based on in situ soil sampling, laboratory analyses, GIS techniques and plant nutrition mathematical models, coupled with the local land cadastre. The novelty of these studies is that local agronomists have immediate access to a wide range of soil information by clicking on a field parcel shown in this digital interface and, therefore, can suggest an appropriate treatment (e.g. liming, manure incorporation, desalination, application of proper type and quantity of fertilizer) depending on the field conditions and cultivated crops. A specific case study is presented in the current work with regards to the construction of the digitized Soil Map of the regional unit of Kastoria. The potential of this map can easily be realized by the fact that the mapping of the physicochemical properties of the soils in this region provided delineation zones for differential fertilization management. An experiment was also conducted using remote sensing techniques for the enhancement of the fertilization advisory software database, which is a component of the digitized map, and the optimization of nitrogen management in agricultural areas.</p>

Indium Bromide-catalyzed Unprecedented Hydrogenolysis: A Novel One-Pot Synthesis of Per-O-Acetylated β-carboxymethyl O and S-glycosides

2020 ◽  
Vol 24 (8) ◽  
pp. 900-908
Author(s):  
Ram Naresh Yadav ◽  
Amrendra K Singh ◽  
Bimal Banik
Keyword(s):  
Asymmetric Synthesis ◽  
Chiral Auxiliary ◽  
Bioactive Molecules ◽  
One Pot ◽  
Enantiomerically Pure ◽  
Stereoselective Glycosylation ◽  
One Pot Synthesis ◽  
Wide Range

Numerous O (oxa)- and S (thia)-glycosyl esters and their analogous glycosyl acids have been accomplished through stereoselective glycosylation of various peracetylated bromo sugar with benzyl glycolate using InBr3 as a glycosyl promotor followed by in situ hydrogenolysis of resulting glycosyl ester. A tandem glycosylating and hydrogenolytic activity of InBr3 has been successfully investigated in a one-pot procedure. The resulting synthetically valuable and virtually unexplored class of β-CMGL (glycosyl acids) could serve as an excellent potential chiral auxiliary in the asymmetric synthesis of a wide range of enantiomerically pure medicinally prevalent β-lactams and other bioactive molecules of diverse medicinal interest.

scholarly journals A Generalization Performance Study Using Deep Learning Networks in Embedded Systems

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1031
Author(s):  
Joseba Gorospe ◽  
Rubén Mulero ◽  
Olatz Arbelaitz ◽  
Javier Muguerza ◽  
Miguel Ángel Antón
Keyword(s):  
Deep Learning ◽  
Embedded Systems ◽  
Embedded System ◽  
General Purpose ◽  
Learning Networks ◽  
Performance Study ◽  
Learning Techniques ◽  
Wide Range ◽  
Learning Architectures

Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the digitalisation of society in general and the industrial world in particular. In addition, the immersion of the field of edge computing, which focuses on integrating artificial intelligence as close as possible to the client, makes it possible to implement systems that act in real time without the need to transfer all of the data to centralised servers. The combination of these two concepts can lead to systems with the capacity to make correct decisions and act based on them immediately and in situ. Despite this, the low capacity of embedded systems greatly hinders this integration, so the possibility of being able to integrate them into a wide range of micro-controllers can be a great advantage. This paper contributes with the generation of an environment based on Mbed OS and TensorFlow Lite to be embedded in any general purpose embedded system, allowing the introduction of deep learning architectures. The experiments herein prove that the proposed system is competitive if compared to other commercial systems.

scholarly journals Global soil moisture data derived through machine learning trained with in-situ measurements

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Sungmin O. ◽  
Rene Orth
Keyword(s):  
Machine Learning ◽  
Soil Moisture ◽  
Large Scale ◽  
Short Term Memory ◽  
Temporal Dynamics ◽  
Soil Moisture Data ◽  
Wide Range ◽  
Global Soil

AbstractWhile soil moisture information is essential for a wide range of hydrologic and climate applications, spatially-continuous soil moisture data is only available from satellite observations or model simulations. Here we present a global, long-term dataset of soil moisture derived through machine learning trained with in-situ measurements, SoMo.ml. We train a Long Short-Term Memory (LSTM) model to extrapolate daily soil moisture dynamics in space and in time, based on in-situ data collected from more than 1,000 stations across the globe. SoMo.ml provides multi-layer soil moisture data (0–10 cm, 10–30 cm, and 30–50 cm) at 0.25° spatial and daily temporal resolution over the period 2000–2019. The performance of the resulting dataset is evaluated through cross validation and inter-comparison with existing soil moisture datasets. SoMo.ml performs especially well in terms of temporal dynamics, making it particularly useful for applications requiring time-varying soil moisture, such as anomaly detection and memory analyses. SoMo.ml complements the existing suite of modelled and satellite-based datasets given its distinct derivation, to support large-scale hydrological, meteorological, and ecological analyses.

scholarly journals Quantification of assembly forces during creation of head-neck taper junction considering soft tissue bearing: a biomechanical study

Arthroplasty ◽  
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Toni Wendler ◽  
Torsten Prietzel ◽  
Robert Möbius ◽  
Jean-Pierre Fischer ◽  
Andreas Roth ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Work Experience ◽  
Soft Tissues ◽  
Force Sensor ◽  
Biomechanical Study ◽  
Measuring System ◽  
Wide Range ◽  
Head Neck

Abstract Background All current total hip arthroplasty (THA) systems are modular in design. Only during the operation femoral head and stem get connected by a Morse taper junction. The junction is realized by hammer blows from the surgeon. Decisive for the junction strength is the maximum force acting once in the direction of the neck axis, which is mainly influenced by the applied impulse and surrounding soft tissues. This leads to large differences in assembly forces between the surgeries. This study aimed to quantify the assembly forces of different surgeons under influence of surrounding soft tissue. Methods First, a measuring system, consisting of a prosthesis and a hammer, was developed. Both components are equipped with a piezoelectric force sensor. Initially, in situ experiments on human cadavers were carried out using this system in order to determine the actual assembly forces and to characterize the influence of human soft tissues. Afterwards, an in vitro model in the form of an artificial femur (Sawbones Europe AB, Malmo, Sweden) with implanted measuring stem embedded in gelatine was developed. The gelatine mixture was chosen in such a way that assembly forces applied to the model corresponded to those in situ. A study involving 31 surgeons was carried out on the aforementioned in vitro model, in which the assembly forces were determined. Results A model was developed, with the influence of human soft tissues being taken into account. The assembly forces measured on the in vitro model were, on average, 2037.2 N ± 724.9 N, ranging from 822.5 N to 3835.2 N. The comparison among the surgeons showed no significant differences in sex (P = 0.09), work experience (P = 0.71) and number of THAs performed per year (P = 0.69). Conclusions All measured assembly forces were below 4 kN, which is recommended in the literature. This could lead to increased corrosion following fretting in the head-neck interface. In addition, there was a very wide range of assembly forces among the surgeons, although other influencing factors such as different implant sizes or materials were not taken into account. To ensure optimal assembly force, the impaction should be standardized, e.g., by using an appropriate surgical instrument.

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