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William J Nichols - One of the best experts on this subject based on the ideXlab platform.
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the united states environmental protection agency national oil and hazardous substances pollution Contingency Plan subpart j product schedule 40 code of federal regulations 300 900
Oil Spill Science and Technology, 2011Co-Authors: William J NicholsAbstract:Publisher Summary This chapter explores the National Oil and Hazardous Substances Pollution Contingency Plan, more commonly called the National Contingency Plan or NCP. It is the US federal government's approved guidelines for both oil spills and hazardous substance releases. The federal authorities have produced a product schedule divided into five basic categories which are dispersants, surface-washing agents, surface-collecting agents, bio-remediation agents and miscellaneous oil spill control agents. The term ‘sorbent’ means essentially inert and insoluble materials that are used to remove oil and hazardous substances from water through adsorption, in which the oil or hazardous substance is attracted to the sorbent surface and then adheres to it. Manufacturers mandatorily provide information about their products as per the laid down format. Practical utility of the data is considered and authorities are empowered to use them in times of need. In conclusion, to enhance proper uses and lessons learnt from handling oil spill disasters, the EPA encourages industry, OSCs, state and local agencies, the international response community, oil spill response organizations, fire departments, and the entire oil spill community to communicate with the EPA and each other for better and safer options.
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an overview of the usepa national oil and hazardous substances pollution Contingency Plan subpart j product schedule 40 cfr 300 900
Spill Science & Technology Bulletin, 2003Co-Authors: William J NicholsAbstract:Abstract The United States Environmental Protection Agency manages the National Oil and Hazardous Substances Pollution Contingency Plan, Subpart J Product Schedule (40 Code of Federal Regulations Part 300.900) which list dispersants, surface washing agents (SWAs), bioremediation agents, surface collecting agents, and miscellaneous oil spill control agents (MOSCA) that may be used in response to oil spills on land and on or near waters of the US, depending on the product and its proper application. Over the last few years, alternative oil spill response methods have been gaining in acceptance and use in the field among first responders, industry, state and federal agencies, Congress, and the entire oil spill response community. EPA sets policy and guidance for the proper use and authority to use these products within its jurisdiction. Manufacturers and vendors of these products have become more aware of this acceptance evidenced by the frequency that EPA is contacted to provide information on the listing process and EPA policy regarding their use. The number of applications to add new products to the Subpart J Product Schedule has increased over the last few year. Subpart J is very prescriptive and specific in directing manufacturers to perform the proper tests using the proper protocols, yet many applications are rejected or need modification due to errors in testing procedures or data reporting. This paper will address the data needed to list a product under each category and will clarify issues related to the Product Schedule. It will also address the policies that EPA uses to enforce the Subpart J regulation. The author has managed the Product Schedule for over five years and his experience and expertise regarding the issues surrounding alternative countermeasures will be covered briefly. Dispersants, SWAs, chemical sorbents, and other technologies have sparked controversy and confusion in all regions and areas of the US, and in some cases internationally. Many research efforts have added to the baseline knowledge we have about dispersants and bioremediation agents’ toxicity, efficacy, and proper use, but conflicts still arise as that data is interpreted and applied in the field. The reader will have a better understanding of why and how alternative countermeasures are required to be listed and describe the authority to use them based on EPA policy.
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the u s environmental protection agency national oil and hazardous substances pollution Contingency Plan subpart j product schedule 40 cfr 300 900
International Oil Spill Conference Proceedings, 2001Co-Authors: William J NicholsAbstract:ABSTRACT The U.S. Environmental Protection Agency (EPA) manages the National Oil and Hazardous Substances Pollution Contingency Plan Final Rule, Subpart J Product Schedule (40 Code of Federal Regulations Part 300.900), which lists dispersants, surface-washing agents (SWAs), bioremediation agents, surface-collecting agents, and miscellaneous oil spill control agents that may be used in response to oil spills on land and on or near waters of the United States, depending on the product and its proper application. Over the last few years, alternative oil spill response methods have been gaining in acceptance and use in the field among first responders, industry, state and federal agencies, Congress, and the entire oil spill response community. EPA sets policy and guidance for the proper use and authority to use these products. Manufacturers and vendors of these products have become more aware of this acceptance evidenced by the frequency that EPA is contacted to provide information on the listing process and ...
Hefni Effendi - One of the best experts on this subject based on the ideXlab platform.
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analisis sensitivitas lingkungan oscp oil spill Contingency Plan di pesisir selatan delta mahakam provinsi kalimantan timur
Journal of Natural Resources, 2014Co-Authors: Mursalin Mursalin, Wayan I Nurjaya, Hefni EffendiAbstract:The research was one part of oil spill Contingency Plan (OSCP) developed for Delta Mahakam area, where oil & gas exploration and exploitation linked with rich biodiversity supporting coastal community livelihood. Environmental sensitivity analysis for OSCP only do two early stages of OSCP scope, which integrated with the dangers of coastal vulnerability. This analysis mapped environmental component from oil pollution become sensitivity rangking as an effort to support response development strategies and priorities for the coastal resources protection. The aims of this research were (1) to establish environment sensitivity rank and (2) to identify primary factor supporting the environmental sensitivity for OSCP in south Delta Mahakam area. The result of analysis showed environmenal sensitivity was 62.37% (517.52 km), its mean very high sensitivity. Then the high sensitivity criteria was 11.31% (94 km). The criteria of medium sensitivity was 11.92% (99 km). While for low sensitivity and very low sensitivity respectively were 1.78% (15 km) and 12.64% (105 km). Based on Principal Component Analysis (PCA), 36.01% variability was explained by axis of factor 1. The others variability 18.53% and 13.93% were explained by axis of the factor 2 and factor 3. Axis of factor 1 for coastal exposure (EK), oil residence index (OR), coastal type (TP), and biological resources (SH) had a quite large linear combinations coefficient, amounted to 0.94 (EK&OR), 0.83 (TP) and 0.75 (SH). This indicated a very high contribution for environmental sensitivity OSCP level drafting. On axis of factor 2, the linear coeffisien combinations for the resource utilization of port (PL) was 0.83 and settlement (PM) was 0.85. Axis of factor 3 contributed 0.75 and 0.66 on migas platform (PO) and placement of passive fishing gear/catchment area (AT). However, the utilization of coastal resources for PL, PM, PO and AT were on axis of factor 2 and factor 3 had a considerable distance with its SI variable. This possible caused by each variable percentage distribution which the value was very minor ranged 0.001-0.52%, so its not representated coastal resources elements closeness with SI variable in the study area. Keywords: Environmental Sensitivity, Oil Spill Contingency Plan, Mahakam Delta
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analisis sensitivitas lingkungan oscp oil spill Contingency Plan di pesisir selatan delta mahakam provinsi kalimantan timur analyze of environmental sensitivity for oscp oil spill Contingency Plan at southern coast of mahakam delta east kalimantan province
2014Co-Authors: Wayan I Nurjaya, Hefni EffendiAbstract:The research was one part of oil spill Contingency Plan (OSCP) developed for Delta Mahakam area, where oil & gas exploration and exploitation linked with rich biodiversity supporting coastal community livelihood. Environmental sensitivity analysis for OSCP only do two early stages of OSCP scope, which integrated with the dangers of coastal vulnerability. This analysis mapped environmental component from oil pollution become sensitivity rangking as an effort to support response development strategies and priorities for the coastal resources protection. The aims of this research were (1) to establish environment sensitivity rank and (2) to identify primary factor supporting the environmental sensitivity for OSCP in south Delta Mahakam area. The result of analysis showed environmenal sensitivity was 62.37% (517.52 km), its mean very high sensitivity. Then the high sensitivity criteria was 11.31% (94 km). The criteria of medium sensitivity was 11.92% (99 km). While for low sensitivity and very low sensitivity respectively were 1.78% (15 km) and 12.64% (105 km). Based on Principal Component Analysis (PCA), 36.01% variability was explained by axis of factor 1. The others variability 18.53% and 13.93% were explained by axis of the factor 2 and factor 3. Axis of factor 1 for coastal exposure (EK), oil residence index (OR), coastal type (TP), and biological resources (SH) had a quite large linear combinations coefficient, amounted to 0.94 (EK&OR), 0.83 (TP) and 0.75 (SH). This indicated a very high contribution for environmental sensitivity OSCP level drafting. On axis of factor 2, the linear coeffisien combinations for the resource utilization of port (PL) was 0.83 and settlement (PM) was 0.85. Axis of factor 3 contributed 0.75 and 0.66 on migas platform (PO) and placement of passive fishing gear/catchment area (AT). However, the utilization of coastal resources for PL, PM, PO and AT were on axis of factor 2 and factor 3 had a considerable distance with its SI variable. This possible caused by each variable percentage distribution which the value was very minor ranged 0.001-0.52%, so its not representated coastal resources elements closeness with SI variable in the study area.
Nuanchan Singkran - One of the best experts on this subject based on the ideXlab platform.
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Contingency Plan improvement for managing oil spills in the coastal waters of thailand
Marine Pollution Bulletin, 2014Co-Authors: Nuanchan SingkranAbstract:The estimated risks of being impacted by oil spills in the coastal waters were used to improve the oil spill Contingency Plan of Thailand. Functional roles of local agencies are integrated into the Plan. Intensive measures are suggested for the coastal provinces located in high-very high risk zones, whereas light and moderate measures are suggested for the coastal provinces located in low and moderate risk zones, respectively. The estimated percentage risks due to simulated oil slicks hitting the coast and/or important resources (PRoilspill) were used to guide the year-round water activities that should be carefully handled at a certain radius with a low-moderate PRoilspill, whereas they should be avoided at a certain radius with a high-very high PRoilspill. Important measures before, during, and post periods of an oil spill incident are suggested to prevent and monitor oil spill incidents and mitigate their impacts on the environment.
Bryan W Brooks - One of the best experts on this subject based on the ideXlab platform.
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an initial probabilistic hazard assessment of oil dispersants approved by the united states national Contingency Plan
Environmental Toxicology and Chemistry, 2011Co-Authors: Jason P Berninger, Spencer E Williams, Bryan W BrooksAbstract:Dispersants are commonly applied during oil spill mitigation efforts; however, these industrial chemicals may present risks to aquatic organisms individually and when mixed with oil. Fourteen dispersants are listed on the U.S. Environmental Protection Agency (U.S. EPA) National Oil and Hazardous Substances Pollution Contingency Plan (NCP). Availability of environmental effects information for such agents is limited, and individual components of dispersants are largely proprietary. Probabilistic hazard assessment approaches including Chemical Toxicity Distributions (CTDs) may be useful as an initial step toward prioritizing environmental hazards from the use of dispersants. In the present study, we applied the CTD approach to two acute toxicity datasets: NCP (the Contingency Plan dataset) and DHOS (a subset of NCP listed dispersants reevaluated subsequent to the Deepwater Horizon oil spill). These datasets contained median lethal concentration (LC50) values for dispersants alone and dispersant:oil mixtures, in two standard marine test species, Menidia beryllina and Mysidopsis bahia. These CTDs suggest that dispersants alone are generally less toxic than oil. In contrast, most dispersant:oil mixtures are more toxic than oil alone. For the two datasets (treated separately because of differing methodologies), CTDs would predict 95% of dispersant:oil mixtures to have acute toxicity values above 0.32 and 0.76 mg/L for Mysidopsis and 0.33 mg/L and 1.06 mg/L for Menidia (for DHOS and NCP, respectively). These findings demonstrate the utility of CTDs as a means to evaluate the comparative ecotoxicity of dispersants alone and in mixture with different oil types. The approaches presented here also provide valuable tools for prioritizing prospective and retrospective environmental assessments of oil dispersants. Environ. Toxicol. Chem. 2011; 30:1704–1708. © 2011 SETAC
Wayan I Nurjaya - One of the best experts on this subject based on the ideXlab platform.
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analisis sensitivitas lingkungan oscp oil spill Contingency Plan di pesisir selatan delta mahakam provinsi kalimantan timur
Journal of Natural Resources, 2014Co-Authors: Mursalin Mursalin, Wayan I Nurjaya, Hefni EffendiAbstract:The research was one part of oil spill Contingency Plan (OSCP) developed for Delta Mahakam area, where oil & gas exploration and exploitation linked with rich biodiversity supporting coastal community livelihood. Environmental sensitivity analysis for OSCP only do two early stages of OSCP scope, which integrated with the dangers of coastal vulnerability. This analysis mapped environmental component from oil pollution become sensitivity rangking as an effort to support response development strategies and priorities for the coastal resources protection. The aims of this research were (1) to establish environment sensitivity rank and (2) to identify primary factor supporting the environmental sensitivity for OSCP in south Delta Mahakam area. The result of analysis showed environmenal sensitivity was 62.37% (517.52 km), its mean very high sensitivity. Then the high sensitivity criteria was 11.31% (94 km). The criteria of medium sensitivity was 11.92% (99 km). While for low sensitivity and very low sensitivity respectively were 1.78% (15 km) and 12.64% (105 km). Based on Principal Component Analysis (PCA), 36.01% variability was explained by axis of factor 1. The others variability 18.53% and 13.93% were explained by axis of the factor 2 and factor 3. Axis of factor 1 for coastal exposure (EK), oil residence index (OR), coastal type (TP), and biological resources (SH) had a quite large linear combinations coefficient, amounted to 0.94 (EK&OR), 0.83 (TP) and 0.75 (SH). This indicated a very high contribution for environmental sensitivity OSCP level drafting. On axis of factor 2, the linear coeffisien combinations for the resource utilization of port (PL) was 0.83 and settlement (PM) was 0.85. Axis of factor 3 contributed 0.75 and 0.66 on migas platform (PO) and placement of passive fishing gear/catchment area (AT). However, the utilization of coastal resources for PL, PM, PO and AT were on axis of factor 2 and factor 3 had a considerable distance with its SI variable. This possible caused by each variable percentage distribution which the value was very minor ranged 0.001-0.52%, so its not representated coastal resources elements closeness with SI variable in the study area. Keywords: Environmental Sensitivity, Oil Spill Contingency Plan, Mahakam Delta
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analisis sensitivitas lingkungan oscp oil spill Contingency Plan di pesisir selatan delta mahakam provinsi kalimantan timur analyze of environmental sensitivity for oscp oil spill Contingency Plan at southern coast of mahakam delta east kalimantan province
2014Co-Authors: Wayan I Nurjaya, Hefni EffendiAbstract:The research was one part of oil spill Contingency Plan (OSCP) developed for Delta Mahakam area, where oil & gas exploration and exploitation linked with rich biodiversity supporting coastal community livelihood. Environmental sensitivity analysis for OSCP only do two early stages of OSCP scope, which integrated with the dangers of coastal vulnerability. This analysis mapped environmental component from oil pollution become sensitivity rangking as an effort to support response development strategies and priorities for the coastal resources protection. The aims of this research were (1) to establish environment sensitivity rank and (2) to identify primary factor supporting the environmental sensitivity for OSCP in south Delta Mahakam area. The result of analysis showed environmenal sensitivity was 62.37% (517.52 km), its mean very high sensitivity. Then the high sensitivity criteria was 11.31% (94 km). The criteria of medium sensitivity was 11.92% (99 km). While for low sensitivity and very low sensitivity respectively were 1.78% (15 km) and 12.64% (105 km). Based on Principal Component Analysis (PCA), 36.01% variability was explained by axis of factor 1. The others variability 18.53% and 13.93% were explained by axis of the factor 2 and factor 3. Axis of factor 1 for coastal exposure (EK), oil residence index (OR), coastal type (TP), and biological resources (SH) had a quite large linear combinations coefficient, amounted to 0.94 (EK&OR), 0.83 (TP) and 0.75 (SH). This indicated a very high contribution for environmental sensitivity OSCP level drafting. On axis of factor 2, the linear coeffisien combinations for the resource utilization of port (PL) was 0.83 and settlement (PM) was 0.85. Axis of factor 3 contributed 0.75 and 0.66 on migas platform (PO) and placement of passive fishing gear/catchment area (AT). However, the utilization of coastal resources for PL, PM, PO and AT were on axis of factor 2 and factor 3 had a considerable distance with its SI variable. This possible caused by each variable percentage distribution which the value was very minor ranged 0.001-0.52%, so its not representated coastal resources elements closeness with SI variable in the study area.