scholarly journals An Assessment of Marine Ecosystem Damage from the Penglai 19-3 Oil Spill Accident

2021 ◽  
Vol 9 (7) ◽  
pp. 732
Author(s):  
Haiwen Han ◽  
Shengmao Huang ◽  
Shuang Liu ◽  
Jingjing Sha ◽  
Xianqing Lv
Keyword(s):  
Oil Spill ◽  
Bohai Sea ◽  
Oil Spills ◽  
Transport Model ◽  
Marine Ecosystem ◽  
Temporal Distribution ◽  
Total Petroleum Hydrocarbons ◽  
Observation Data ◽  
The Bohai Sea ◽  
Before And After

Oil spills have immediate adverse effects on marine ecological functions. Accurate assessment of the damage caused by the oil spill is of great significance for the protection of marine ecosystems. In this study the observation data of Chaetoceros and shellfish before and after the Penglai 19-3 oil spill in the Bohai Sea were analyzed by the least-squares fitting method and radial basis function (RBF) interpolation. Besides, an oil transport model is provided which considers both the hydrodynamic mechanism and monitoring data to accurately simulate the spatial and temporal distribution of total petroleum hydrocarbons (TPH) in the Bohai Sea. It was found that the abundance of Chaetoceros and shellfish exposed to the oil spill decreased rapidly. The biomass loss of Chaetoceros and shellfish are 7.25×1014~7.28×1014 ind and 2.30×1012~2.51×1012 ind in the area with TPH over 50 mg/m3 during the observation period, respectively. This study highlights the evaluation of ecological resource loss caused by the oil spill, which is useful for the protection and restoration of the biological resources following the oil spill.

scholarly journals Temporal Distribution and Characteristic Analysis of Oil Spill in Balikpapan Bay

2021 ◽  
Vol 925 (1) ◽  
pp. 012063
Author(s):  
D A Widiawan
Keyword(s):  
Oil Spill ◽  
Environmental Problem ◽  
Oil Spills ◽  
Temporal Distribution ◽  
Characteristic Analysis ◽  
Oil Pipeline ◽  
Significant Difference ◽  
Before And After ◽  
Multi Temporal ◽  
Oil Characteristics

Abstract Balikpapan Bay has an oil spill case that attracts many people because it is considered a serious environmental problem and is detrimental to the environment. One of the cases that occurred was the leak of an oil pipeline in Balikpapan Bay due to the wrong anchorage of a ship that occurred on March 31, 2018. Detection of oil spills for three months using Sentinel 1-A satellite data to determine the distribution and analysis of the same oil characteristics from the source of pipe leaks in the Gulf of Balikpapan. The multi-temporal distribution of oil spills in Balikpapan Bay in March, April, and May 2018 has a significant difference in the upstream and mouth of the bay due to a pipe leak on March 31, 2018. Characteristics of upstream oil spills represented by stations 4 and 5 have the anisotropy value is lower than at the mouth of the bay which is represented by stations 1 and 2. The characteristics of the oil spill in Balikpapan Bay have differences before and after the oil spill due to pipe leakage as indicated by the decrease in the anisotropy value.

scholarly journals OILSPILL AND LOOK-ALIKE SPOTS FROM SAR IMAGERY USING OTSU METHOD AND ARTIFICIAL NEURAL NETWORK

2020 ◽  
Vol 4 (11) ◽  
pp. 1-10
Author(s):  
M. Sornam
Keyword(s):  
Image Segmentation ◽  
Oil Spill ◽  
Oil Spills ◽  
Marine Ecosystem ◽  
Dark Spot ◽  
Oil Spill Detection ◽  
Otsu Method ◽  
Artificial Neural ◽  
Propagation Network

Oil spill pollution plays a significant role in damaging marine ecosystem. Discharge of oil due to tanker accidents has the most dangerous effects on marine environment. The main waste source is the ship based operational discharges. Synthetic Aperture Radar (SAR) can be effectively used for the detection and classification of oil spills. Oil spills appear as dark spots in SAR images. One major advantage of SAR is that it can generate imagery under all weather conditions. However, similar dark spots may arise from a range of unrelated meteorological and oceanographic phenomena, resulting in misidentification. A major focus of research in this area is the development of algorithms to distinguish ‘oil spills’ from ‘look-alikes’. The features of detected dark spot are then extracted and classified to discriminate oil spills from look-alikes. This paper describes the development of a new approach to SAR oil spill detection using Segmentation method and Artificial Neural Networks (ANN). A SAR-based oil-spill detection process consists of three stages: image segmentation, feature extraction and object recognition (classification) of the segmented objects as oil spills or look-alikes. The image segmentation was performed with Otsu method. Classification has been done using Back Propagation Network and this network classifies objects into oil spills or look-alikes according to their feature parameters. Improved results have been achieved for the discrimination of oil spills and look-alikes.

scholarly journals Sacrificial amphiphiles: Eco-friendly chemical herders as oil spill mitigation chemicals

2015 ◽  
Vol 1 (5) ◽  
pp. e1400265 ◽  
Author(s):  
Deeksha Gupta ◽  
Bivas Sarker ◽  
Keith Thadikaran ◽  
Vijay John ◽  
Charles Maldarelli ◽  
...  
Keyword(s):  
Crude Oil ◽  
Oil Spill ◽  
Oil Spills ◽  
Cold Water ◽  
Marine Ecosystem ◽  
Hot Water ◽  
Sea Surface ◽  
Marine Biota ◽  
Polar Group ◽  
Branched Chain

Crude oil spills are a major threat to marine biota and the environment. When light crude oil spills on water, it forms a thin layer that is difficult to clean by any methods of oil spill response. Under these circumstances, a special type of amphiphile termed as “chemical herder” is sprayed onto the water surrounding the spilled oil. The amphiphile forms a monomolecular layer on the water surface, reducing the air–sea surface tension and causing the oil slick to retract into a thick mass that can be burnt in situ. The current best-known chemical herders are chemically stable and nonbiodegradable, and hence remain in the marine ecosystem for years. We architect an eco-friendly, sacrificial, and effective green herder derived from the plant-based small-molecule phytol, which is abundant in the marine environment, as an alternative to the current chemical herders. Phytol consists of a regularly branched chain of isoprene units that form the hydrophobe of the amphiphile; the chain is esterified to cationic groups to form the polar group. The ester linkage is proximal to an allyl bond in phytol, which facilitates the hydrolysis of the amphiphile after adsorption to the sea surface into the phytol hydrophobic tail, which along with the unhydrolyzed herder, remains on the surface to maintain herding action, and the cationic group, which dissolves into the water column. Eventual degradation of the phytol tail and dilution of the cation make these sacrificial amphiphiles eco-friendly. The herding behavior of phytol-based amphiphiles is evaluated as a function of time, temperature, and water salinity to examine their versatility under different conditions, ranging from ice-cold water to hot water. The green chemical herder retracted oil slicks by up to ~500, 700, and 2500% at 5°, 20°, and 35°C, respectively, during the first 10 min of the experiment, which is on a par with the current best chemical herders in practice.

The Risk Probability Analysis of Oil Spill on Offshore Facilities Based on ETA

2013 ◽  
Vol 864-867 ◽  
pp. 809-814
Author(s):  
Yun Bin Li ◽  
Cheng Gang Tang ◽  
Xian Feng Wang ◽  
Peng Xu
Keyword(s):  
Oil Spill ◽  
Bohai Sea ◽  
Marine Pollution ◽  
Probability Model ◽  
Pollution Prevention ◽  
The Bohai Sea ◽  
The Core ◽  
Eta Model ◽  
Subsea Pipelines ◽  
Core Problem

The oil spill probability is the core problem on studying the risk of oil spill. The oil spill probability model of offshore facilities is established, which based on the ETA model and the oil spill reason analysis of offshore facilities and subsea pipelines. Through a lot of statistics, combined with the actual situation in the Bohai Sea, the probability of various events is calculated. Finally the probability of oil spill for the Bohai Sea oil facilities and subsea pipelines is calculated and providing references for marine pollution prevention and the study of oil spill risks.

ANALISA PENCEMARAN LAUT OLEH PTT EXPLORATION AND PRODUCTION (PTTEP) AUSTRALASIA TERHADAP LAUT TIMOR INDONESIA

2020 ◽  
Vol 4 (2) ◽  
pp. 127
Author(s):  
Paulin Yosephin Marini ◽  
Sherlly Monica Bonsapia ◽  
Johni R.V. Korwa
Keyword(s):  
Oil Spill ◽  
Oil And Gas ◽  
Oil Spills ◽  
Marine Ecosystem ◽  
Oil Field ◽  
Australian Government ◽  
Compensation Mechanisms ◽  
Exploration And Production ◽  
Data Collection Technique ◽  
The Impact

<p><em>This study aims to analyze a blowout from an oil and gas leak owned by PTT Exploration and Production (PTTEP) Australasia in the Montara oil field in the Indonesian Timor Sea, and how to resolve disputes between Australia and Indonesia. A qualitative approach was used in this study, whilst the data collection technique was through library research. The theory of state responsibility, the concept of human security, and the concept of international maritime law are used to analyze disputes between Indonesia and Australia. The study found that the Montara oil spill had not only damaged the marine ecosystem but also polluted Indonesian waters. It also found that although the Australian government had formed a special commission to resolve cases and even used dispersant, it had not satisfied all parties. Several points are summarized. First, the Montara oil spill in Australia is a transnational study because the impact has crossed national borders. Secondly, UNCLOS has a weakness in the settlement of the Montara case because the Convention only provides a description related to ‘Responsibility of Each Country’ and does not specifically arrange material compensation mechanisms to countries that cause sea pollution. Third, the Montara oil spill has caused huge losses for Indonesian seaweed farmers, especially 13 districts in NTT. The recommendations are that the Indonesian government along with the Montara Victim Peoples’ Advocacy Team should continue to follow up the case of oil spills from the Montara platform and continue to fight for compensation to the Australian government and the PTTEP as the responsible party.</em></p>

scholarly journals MODELING THE WIND INFLUENCE IN AN OIL SPILL ALONG THE SOUTHERN BRAZILIAN SHELF

2012 ◽  
Vol 11 (1-2) ◽  
pp. 100
Author(s):  
C. E. Stringari ◽  
W. C. Marques ◽  
L. F. Mello ◽  
R. T. Edit
Keyword(s):  
Oil Spill ◽  
Oil Spills ◽  
Marine Ecosystem ◽  
Computational Cost ◽  
Temperature Fields ◽  
Local Wind ◽  
Wind Influence ◽  
Oil Density ◽  
Environmental Agencies ◽  
Spilled Oil

Oil spills can generate different effects in different time scales on the marine ecosystem. The numerical modeling of this process is an important tool with low computational cost which provides a powerful appliance to environmental agencies regarding the risk management. In this way, the objective of this work is evaluate the local wind influence in a hypothetical oil spill along the Southern Brazilian shelf. The numerical simulation was carried using the ECOS model (Easy Coupling Oil System), an oil spill model developed at the Universidade Federal do Rio Grande – FURG, coupled with the tridimensional hydrodynamical model TELEMAC3D (EDF, France). The hydrodynamic model provides the velocities, salinity and temperature fields used by the oil spill model to evaluate the behavior and fate of the oil. The results suggest that the local wind influence are the main forcing driven the fate of the spilled oil. The direction and intensity of the currents are important controlling the behavior and the tridimensional transportation of the oil, on the other hand, the turbulent diffusion is important for the horizontal drift of the oil. The weathering results indicate 40% of evaporation and 80% of emulsification, and the combination of these processes leads an increasing of the oil density around 53.4 kg/m³ after 5 days of simulation.

scholarly journals Predicting the impact of future oil-spill closures on fishery-dependent communities—a spatially explicit approach

2019 ◽  
Author(s):  
Igal Berenshtein ◽  
Shay O’Farrell ◽  
Natalie Perlin ◽  
James N Sanchirico ◽  
Steven A Murawski ◽  
...  
Keyword(s):  
Oil Spill ◽  
Oil Spills ◽  
Transport Model ◽  
Gulf Coast ◽  
Three Dimensional ◽  
Management Tool ◽  
Spatially Explicit ◽  
Oil Transport ◽  
Fishing Fleets ◽  
The Impact

Abstract Major oil spills immensely impact the environment and society. Coastal fishery-dependent communities are especially at risk as their fishing grounds are susceptible to closure because of seafood contamination threat. During the Deepwater Horizon (DWH) disaster for example, vast areas of the Gulf of Mexico (GoM) were closed for fishing, resulting in coastal states losing up to a half of their fishery revenues. To predict the effect of future oil spills on fishery-dependent communities in the GoM, we develop a novel framework that combines a state-of-the-art three-dimensional oil-transport model with high-resolution spatial and temporal data for two fishing fleets—bottom longline and bandit-reel—along with data on the social vulnerability of coastal communities. We demonstrate our approach by simulating spills in the eastern and western GoM, calibrated to characteristics of the DWH spill. We find that the impacts of the eastern and western spills are strongest in the Florida and Texas Gulf coast counties respectively both for the bandit-reel and the bottom longline fleets. We conclude that this multimodal spatially explicit quantitative framework is a valuable management tool for predicting the consequences of oil spills at locations throughout the Gulf, facilitating preparedness and efficient resource allocation for future oil-spill events.

Response of Ecosystem Service Values to Environmental Change in the Bohai Sea

2012 ◽  
Vol 518-523 ◽  
pp. 1321-1324 ◽  
Author(s):  
An Ning Suo ◽  
Xu Bin Pan ◽  
Jian Hua Zhao ◽  
Yong Hai Yu
Keyword(s):  
Ecosystem Services ◽  
Ecosystem Service ◽  
Bohai Sea ◽  
Marine Ecosystem ◽  
Laizhou Bay ◽  
The Bohai Sea ◽  
Ecosystem Services Value ◽  
Climate Regulation ◽  
Marine Ecosystem Services ◽  
O2 Supply

Since 1988, great changes of primary production, pollutants loading, coastline and sea area have happened in the Bohai Sea in China. These environmental changes increased the value of marine ecosystem services value from 529.42 billion RMB in 1988 to 558.83 billion RMB in 2010. The ecosystem services values of recreation, food and materials production, O2 supply, climate regulation and primary productivity were raised. However, other marine ecosystem services value, including biological control, pollutant purification, knowledge broaden and biodiversity protection were lowered. In addition, value of ecosystem services increased in Liaodong Bay and Bohai Bay, but decreased in middle Bohai and Bohai strait, and it no change in Laizhou Bay,.This spatial difference of ecosystem service function value was mainly caused by the change of recreation function, O2 supply function and climate regulation function.

DAMAGE ASSESSMENT IN COASTAL HABITATS: LESSONS LEARNED FROM EXXON VALDEZ

1993 ◽  
Vol 1993 (1) ◽  
pp. 695-697 ◽  
Author(s):  
Thomas A. Dean ◽  
Lyman McDonald ◽  
Michael S. Stekoll ◽  
Richard R. Rosenthal
Keyword(s):  
Optimal Design ◽  
Oil Spill ◽  
Damage Assessment ◽  
Oil Spills ◽  
Lessons Learned ◽  
Exxon Valdez ◽  
Before And After ◽  
And Control ◽  
Alternative Designs ◽  
The Impact

ABSTRACT This paper examines alternative designs for the monitoring and assessment of damages of environmental impacts such as oil spills. The optimal design requires sampling at pairs of impacted (oiled) and control (unoiled) sites both before and after the event. However, this design proved impractical in evaluating impacts of the Exxon Valdez oil spill on nearshore subtidal communities, and may be impractical for future monitoring. An alternative design is discussed in which sampling is conducted at pairs of control and impact sites only after the impact.

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