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Relevant bibliographies by topics / Environmental Sensibility Maps for Oil Spill

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Academic literature on the topic 'Environmental Sensibility Maps for Oil Spill'

Author: Grafiati

Published: 4 June 2021

Last updated: 14 February 2022

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Journal articles on the topic "Environmental Sensibility Maps for Oil Spill"

1

Reed, Mark, Ole Morten Aamo, Per Johan Brandvik, Per Snorre Daling, Per Erik Nilsen, and Gunnar Furnes. "DEVELOPMENT OF A DISPERSANT USE PLAN FOR A COASTAL OIL TERMINAL." International Oil Spill Conference Proceedings 1997, no. 1 (1997): 643–53. http://dx.doi.org/10.7901/2169-3358-1997-1-643.

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ABSTRACT The decision of whether to use dispersants in a given oil spill situation must be made extremely rapidly. The information basis for the decision must take into account the potential environmental consequences of alternative response strategies, and the response chosen must be practical to use. The OSCAR (Oil Spill Contingency And Response) model was used to simulate a series of 24 oil spill scenarios to quantify the environmental effects of alternate spill response strategies under various environmental conditions. OSCAR was used to create color-coded maps of a coastal fjord area surr

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2

Joh, Seong-eok, Song Hee You, Kyoung Hoon Lee, Soo Hyung Lee, and Moon Jin Lee. "THE DEVELOPMENT OF OIL SPILL MANAGEMENT SOFTWARE." International Oil Spill Conference Proceedings 2001, no. 2 (2001): 1079–81. http://dx.doi.org/10.7901/2169-3358-2001-2-1079.

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ABSTRACT Oil spill countermeasure actions are combatants, and spilled oil is the enemy. A good operation map at the oil spill response plays a keystone role for victory as military combats. Various complicated geographical information—spill location, damaged areas, natural resources and positions of response resources like skimmers, booms and vessels—are involved in a spill situation. The development of Geographical Information System (GIS)-based spill management software was studied in the project entitled Computerized Oil Spill Response Support System in Korea, by Korea Ocean Research &

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Masaki, Setsuko, Dawn Gell, Andy Dauterman, Karen Verkennes, and Nobuhiro Sawano. "DEVELOPMENT OF ENVIRONMENTAL SENSITIVITY INDEX MAPS IN JAPAN." International Oil Spill Conference Proceedings 2001, no. 2 (2001): 775–82. http://dx.doi.org/10.7901/2169-3358-2001-2-775.

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ABSTRACT Environmental Sensitivity Index (ESI) maps are important tools for oil spill planning and response measures worldwide. The United States, through the National Oceanic and Atmospheric Administration (NOAA), has developed standardized guidelines for preparing ESI maps. The U.S. Navy stationed in Japan requested ESI maps for oil spill contingency and training purposes. Since Japan does not have national ESI guidelines, NOAA guidelines were used in preparing the maps. This effort proved to be challenging. Japanese agencies were contacted to collect existing data, and geographical informat

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Martin, Robert D., Mehrdad M. Moosavi, and Lee A. Smith. "TEXAS GENERAL LAND OFFICE OIL SPILL GIS AND TRAJECTORY MODELING." International Oil Spill Conference Proceedings 1995, no. 1 (1995): 839–41. http://dx.doi.org/10.7901/2169-3358-1995-1-839.

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ABSTRACT The Texas General Land Office (GLO) has developed elements of an oil spill decision support system that integrate a trajectory model, a real-time environmental monitoring network, and a customized geographic information system (GIS) application. Through applied research, the GLO is striving to improve the reliability of oil spill trajectory modeling by improving the quality and timeliness of the environmental inputs. A GLO-developed GIS user interface facilitates the quick and efficient production of high-quality maps, to provide spill response managers with timely environmental and o

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5

Li, Zhen, and Walter Johnson. "An Improved Method to Estimate the Probability of Oil Spill Contact to Environmental Resources in the Gulf of Mexico." Journal of Marine Science and Engineering 7, no. 2 (2019): 41. http://dx.doi.org/10.3390/jmse7020041.

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The oil spill risk analysis (OSRA) model is a tool used by the Bureau of Ocean Energy Management (BOEM) to evaluate oil spill risks to biological, physical, and socioeconomic resources that could be exposed to oil spill contact from oil and gas leasing, exploration, or development on the U.S. Outer Continental Shelf (OCS). Using long-term hindcast winds and ocean currents, the OSRA model generates hundreds of thousands of trajectories from hypothetical oil spill locations and derives the probability of contact to these environmental resources in the U.S. OCS. This study generates probability o

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6

Vijaya kumar, L. J., J. K. Kishore, P. Kesava Rao, et al. "Oil Spill Map for Indian Sea Region based on Bhuvan- Geographic Information System using Satellite Images." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-8 (November 28, 2014): 1085–90. http://dx.doi.org/10.5194/isprsarchives-xl-8-1085-2014.

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Oil spills in the ocean are a serious marine disaster that needs regular monitoring for environmental risk assessment and mitigation. Recent use of Polarimetric SAR imagery in near real time oil spill detection systems is associated with attempts towards automatic and unambiguous oil spill detection based on decomposition methods. Such systems integrate remote sensing technology, geo information, communication system, hardware and software systems to provide key information for analysis and decision making. <br><br> Geographic information systems (GIS) like BHUVAN can significantly

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7

Rooney, Ann Hayward, and Jane Ledwin. "A PRIORITY APPROACH TO REGIONAL ENVIRONMENTAL SENSITIVITY MAPPING." International Oil Spill Conference Proceedings 1989, no. 1 (1989): 463–71. http://dx.doi.org/10.7901/2169-3358-1989-1-463.

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ABSTRACT Identifying and mapping especially sensitive environments in coastal areas is essential to protecting these environments from the effects of oil spills. Accordingly, “hot spot” habitats and resources in the Chesapeake Bay, one of the nation's major estuarine ecosystems, have been illuminated in a unique series of four seasonal maps. Incorporating these maps into contingency planning and spill response efforts not only speeds the identification of priority areas requiring protection from oil spills, but also enhances the effort itself.

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8

Nwilo, P. C., and O. T. Badejo. "OIL SPILL PROBLEMS AND MANAGEMENT IN THE NIGER DELTA." International Oil Spill Conference Proceedings 2005, no. 1 (2005): 567–70. http://dx.doi.org/10.7901/2169-3358-2005-1-567.

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ABSTRACT The coastal area of the Niger Delta is the home to oil explorations and exploitations in Nigeria. Oil spill incidents are common along the Nigeria. The main sources of oil spill on the Niger Delta are: vandalisation of the oil pipelines by the local inhabitants; ageing of the pipelines; oil blow outs from the flow stations; cleaning of oil tankers on the high sea and disposal of used oil into the drains by the road side mechanics. By far the most serious source of oil spill is through the vandalisation of pipelines either as a result of civil disaffection with the political process or

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9

Skeie, G. M., T. Sørnes, F. Engen, et al. "From Reservoir Characteristics, Through Environmental Risk Assessments to Oil Spill Response – Lessons Learned from a Comprehensive Systematic Development by an Operator." International Oil Spill Conference Proceedings 2014, no. 1 (2014): 293386. http://dx.doi.org/10.7901/2169-3358-2014-1-293386.1.

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Statoil is the largest operator on the Norwegian Continental Shelf, is operating 42 assets and has an exploration activity in the order of 20-25 wells per year. In 2011, Statoil decided to undertake a full review of the basis for the oil spill response level for their activities, and establish a fully documented, transparent documentation of their approach. In Norway, operators are required to perform environmental risk and oil spill emergency preparedness assessments for all activities, as a basis for oil spill response plans. These assessments are of a complex and quantitative nature, and it

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10

Wotherspoon, P. D., and J. J. Swiss. "Oil in Ice Computer Simulation Model." Water Science and Technology 18, no. 2 (1986): 41–46. http://dx.doi.org/10.2166/wst.1986.0014.

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A computer simulation program which depicts the behaviour and distribution of oil spilled in or under sea ice has been developed. The program combines mathematical models developed in previous studies to describe the motion of oil in/under landfast, first-year and multi-year ice. By inputting or estimating such key parameters as oil type, spill type, spill duration, flow rate, ice type, relative under ice current speed and direction, under ice roughness and distinct ice features, a time series of “maps” is generated showing the distribution of the spilled oil. At present, the simulation does n

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