The Research of Acute Toxicity Effect of Oil Spill to Zoobenthos

2013 ◽  
Vol 726-731 ◽  
pp. 495-498
Author(s):  
Li Na Zheng ◽  
Ge Tian ◽  
Hai Feng Wei ◽  
Heng Ming Liu
Keyword(s):  
Oxygen Consumption ◽  
Acute Toxicity ◽  
Crude Oil ◽  
Oil Spill ◽  
Oil Pollution ◽  
Experimental Methods ◽  
Diesel Oil ◽  
Toxicity Effect ◽  
Different Types

Iodometric determination of dissolved oxygen is used as experimental methods, through the determination of oxygen consumption of crude oil, gasoline , diesel , three different types of oil, oxygen consumption of Philippines clams and oxygen consumption of Philippines clams under the conditions of three oil pollution, variations of DO under the conditions of three oil pollution is researched. The results show that oxygen consumption of gasoline> oxygen consumption of diesel oil> oxygen consumption of crude oil. At the same time, oxygen consumption of gasoline changes with time by a big margin, diesel oil comes second, oxygen consumption of crude oil changed slightly with time.

scholarly journals Data Visualization in Engineering Pedagogy through Determination of Colour Variance in Contaminated Grass Samples

2018 ◽  
Vol 8 (5) ◽  
pp. 4
Author(s):  
Conor White ◽  
James Uhomoibhi
Keyword(s):  
Spectral Analysis ◽  
Data Analytics ◽  
Oil Spills ◽  
Oil Pollution ◽  
Data Visualisation ◽  
Small Measure ◽  
Different Types ◽  
Engineering Pedagogy ◽  
Enhanced Learning

Big Data and Data Analytics have in recent times become important areas of focus in academia, in business and in society. This paper utilises experiments involving data visualisation of oil pollution studies and their effects on environment for enhanced learning in engineering education. Tracking and analysis of images and the use of accessible applications for the analysis of acquired data revealed the level of impact of the different types of oil pollution on grass vegetation. In accounting for these changes the primary RGB colours and corresponding values are used. The use of spectral analysis applications available in spectroscopy and comparison of results would in future prove useful in assessing some aspects of these changes in relation to wavelength and colours changes. The results of these studies would contribute in no small measure to the determination of best cleaning strategies for oil spills.

scholarly journals The preliminary study of oil removal using lemon peel waste

2020 ◽  
Vol 3 (1) ◽  
pp. 56
Author(s):  
Nur Syahirah Amirah Mohd Jopery ◽  
Mohammad Abdullah ◽  
Soo Kum Yoke ◽  
Ahmad Rozaimee Mustaffa
Keyword(s):  
Lake Water ◽  
Oil Pollution ◽  
Low Cost ◽  
Diesel Oil ◽  
Oil Removal ◽  
Ocean Water ◽  
Lemon Peel ◽  
Lubricant Oil ◽  
Waste Vegetable Oil ◽  
Different Types

While the discovery of oil contributes a lot towards a country’s economy and technological development, it is also the cause for oil pollution. As such, this study proposes to use lemon peel waste as a low-cost adsorbent to manage oil pollution. For the untreated adsorbent, the lemon peels were cut into small pieces and dried under sunlight for 48 hours. Then, it was further dried in an oven for 24 hours and ground into powder. For the treated adsorbent, the lemon peels were soaked in 0.5 M of sodium hydroxide (NaOH) solution. The adsorbent was used to adsorb different types of oil (diesel oil, lubricant oil, waste vegetable oil) and in different types of water (ocean water, lake water, tap water) with different amounts of adsorbent which is 0.2 g, 0.4 g, 0.6 g, 0.8 g, and 1.0 g for adsorbent dosage experiment. While for types of water experiment, a ratio for volume of water and oil of 3:1, and constant mass adsorbent was used. The result showed that untreated adsorbent can adsorb higher amount of oils than treated adsorbent. The oil that could be easily adsorbed using lemon peels adsorbent is diesel oil with 89.91% adsorption. For the types of water, the result changes according to different types of water and oil used. It was found that the higher the mass adsorbent, the lower the percentage of oil removal. The highest percentage of diesel oil removed in ocean water is 81.68%. While the removal of lubricant oil and waste vegetable oil in lake water is 66.6% and 72.13%, respectively. Scanning Electron Microscopy (SEM) shows that treated lemon peels had small pores compared to untreated lemon peel waste. This study demonstrated and proposed that the lemon peel waste has a good potential in low-cost oil waste removal.

TWO WAVELENGTHS METHODS FOR DETERMINATION LEVEL OF CONTAMINATION OF SOIL WITH CRUDE OIL HYDROCARBONS USING REFLECTION SPECTRUM OF VEGETATION

2019 ◽  
pp. 56-60
Author(s):  
L. Dj. Abdullayeva
Keyword(s):  
Crude Oil ◽  
Reflection Spectrum ◽  
Dynamic Range ◽  
Stressed Condition ◽  
Random Errors ◽  
Close Link ◽  
Oil Hydrocarbons ◽  
Different Types ◽  
Light Oil

The questions on determination level of contamination of soil with crude oil hydrocarbons using vegetations reflection spectrum are considered. The close link between concentration of pigments in vegetation and its reflection properties make it possible to use the reflection spectroscopy as an indicator to predict the vegetation stress occur due to spill of different types of crude oil. The reason is that light types of oil have a more effect on vegetation in comparison with heavy ones. The heavy types of oil have a predominant high molecular heavy components which are hardly transported and distributed within vegetation. The light oil is less viscose’s and well filtered through soil and roots of vegetation. The stressed condition occurred due to effect of oil is mainly reasoned by its such toxic components as aromatic compounds. The carried out analysis of reflection spectrums reveals the double polarity of differences of spectral signals formed by subtraction of reflection spectrums of oil of light and heavy types from controlled reflection spectrum. It causes uncertainty in estimation of contamination of oil using single wavelength method. The question on utilization in practices the inverse type interrelations for diminishing errors of measurements inherent for single wavelength method by transition to two wavelength regime of measurements. It is shown that presence of above said inverse interrelations allows to reach following prevalence’s upon use of two wavelength measurements. 1. Incrtease of dynamic range of measurements; 2. Decrease of random errors. Two variants of two wavelengths methods allowing to determine the level of contamination of soil with crude oil hydrocarbons are developed. The general methodic for determination of level of soil pollution with oil is suggested.

scholarly journals Oil spill detection in the east of Sri Lanka with Sentinel-1 SAR

2020 ◽  
Vol 211 ◽  
pp. 02013
Author(s):  
W. Kamal M. Mahindapala
Keyword(s):  
Sri Lanka ◽  
Crude Oil ◽  
Oil Spill ◽  
Optical Sensors ◽  
Oil Spills ◽  
Oil Pollution ◽  
Signal Transmission ◽  
The Indian Ocean ◽  
Sea Area ◽  
Oil Tanker

In September 2020, two major fires broke out in a large crude oil tanker in Sri Lanka’s maritime zones. An island with a vast sea area in the Indian Ocean, Sri Lanka, is prone to vessel sourced pollution. Crude oil can have a damaging impact on the environment, and therefore tracking the spill in the water is essential. Spaceborne sensors support monitoring oil pollution; however, optical sensors need clear skies for observation. The detection of pollution caused by vessels; in Sri Lanka’s maritime zones has previously been investigated by the author. This study examines the data collected by the Sentinel-1 satellite, whose sensing corresponds to the oil spill event, manually and using algorithms to detect the presence of oil spills. Two detected oil spill areas were measured to be 0.6 km and 1.4 km long. Further, in this study, the SAR sensor’s vertical signal transmission and reception mode produced acceptable results in detecting the spills and the vessel. Sentinel-1 SAR data is essential, in this case, to detect the presence of the oil spills and the vessels.

scholarly journals Metagenomics insight into microbial dynamics in field-scale remediation of crude oil-polluted soil

2020 ◽  
Author(s):  
Chioma Blaise Chikere ◽  
Memory Tekere ◽  
Rasheed Adeleke
Keyword(s):  
Crude Oil ◽  
Oil Spill ◽  
Niger Delta ◽  
Oil Pollution ◽  
Alpha Diversity ◽  
Cost Effective ◽  
Polluted Soil ◽  
Field Scale ◽  
Microbial Dynamics ◽  
Naphthalene Degradation

Abstract Background: The frequency of crude oil pollution has been on the increase following increased exploration, exploitation and production of energy from fossil fuel. Bioremediation has been shown to be eco-friendly and cost-effective method of oil spill remediation. In the Niger Delta, Landfarming has been the most used technique. The aim of this research was to employ metagenomic techniques to understand microbial dynamics during field-scale remediation in the Niger Delta in order to improve and reduce the time of remediation. Results: The surface (0.0 – 0.5m) sample had an extractable TPH value of 6231 mg/kg. The subsurface samples from 1m, 1.5m and 2.0m depths had extractable TPH concentration of 4836 mg/kg, 9112 mg/kg and 7273 mk/kg respectively. Proteobacteria dominated the bacterial community of the oil-polluted soil and comprised mainly of the classes Alphaproteobacteria, Betaproteobacteria and Gammaproteobacteria. Alpha diversity analysis revealed the presence of crude oil in the soil reduced microbial diversity. Principal coordinate analysis showed the microbial structure continually changed following changes in the chemical composition of the soil. Mycobacterium, Burkholderia, Methylobacterium and Bacillus were among the core OTUs detected during the period of remediation. Significant variation in pathway abundance particularly pathways for propanoate degradation, benzoate degradation, naphthalene degradation, fatty acid metabolism, polycyclic aromatic hydrocarbon degradation and degradation of xenobiotics were observed when the unpolluted soil was compared to the samples obtained during remediation. Conclusions: The findings from this study will greatly advance an already preferred landfarming oil spill recovery technique in the Niger Delta.

Determination of subsurface fluid contents at a crude-oil spill site

1992 ◽  
Vol 10 (1) ◽  
pp. 75-96 ◽  
Author(s):  
Kathryn M. Hess ◽  
William N. Herkelrath ◽  
Hedeff I. Essaid
Keyword(s):  
Crude Oil ◽  
Oil Spill ◽  
Spill Site ◽  
Subsurface Fluid ◽  
Crude Oil Spill

Modeled Exposures To Freshly Spilled Crude Oil

1999 ◽  
Vol 1999 (1) ◽  
pp. 1195-1198
Author(s):  
Evan C. Thayer ◽  
Joan G. Tell
Keyword(s):  
Hydrogen Sulfide ◽  
Crude Oil ◽  
Oil Spill ◽  
Relevant Information ◽  
Dispersion Models ◽  
Safe Operation ◽  
Response Planning ◽  
Exposure Data ◽  
Oil Components

ABSTRACT Understanding initial oil spill responder's exposures is essential for planning purposes and a safe operation; however, there is little relevant information in the literature. Potential oil components of concern include hydrogen sulfide and benzene. This paper uses three dispersion models to evaluate and discuss these potential responder health exposures. Key parameters addressed include the effects of the thickness of the spill and the component concentration in the crude oil. Determination of the amount of time needed for site concentrations to fall below the relevant health guidelines is an important outcome. Model results are compared with available exposure data in the literature. Implications for response planning are discussed.

scholarly journals Tropical Oil Pollution Investigations in Coastal Systems [TROPICS]: A 32-year Review of Response and Recovery

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
D. Abigail Renegar ◽  
Paul Schuler ◽  
Nicholas Turner ◽  
Richard Dodge ◽  
Anthony Knap ◽  
...  
Keyword(s):  
Crude Oil ◽  
Oil Spill ◽  
Field Experiments ◽  
Oil Pollution ◽  
Environmental Benefit ◽  
Coastal Systems ◽  
Dispersed Oil ◽  
Trade Offs ◽  
Nearshore Environments ◽  
Comparative Risk

ABSTRACT In 1984, the Tropical Oil Pollution Investigations in Coastal Systems (TROPICS) experiment began in Bahia Almirante on the Caribbean coast of Panama. This study sought to compare the impacts of a severe, but realistic spill of untreated crude oil versus chemically treated (dispersed) crude oil on tropical marine reef, sea-grass, and mangrove ecosystems. The aim of the study was to identify and evaluate the environmental trade-offs of dispersant use in tropical marine and subtidal systems. As a result of continuing research at the site, the study became one of the most comprehensive field experiments examining the long-term impacts of oil and dispersed oil exposures in nearshore tropical communities. Consequently, TROPICS has been the foundational and seminal field study which served as the historical antecedent for Net Environmental Benefit Analysis (NEBA), as well as the basis for follow-on Spill Impact Mitigation Analysis (SIMA) and Comparative Risk Analysis (CRA) for oil spill planning, preparation, and response. From the initial experiment in 1984, through three decades of study and data collection visits, the coral reef, seagrass, and mangrove communities have exhibited significantly different damage and recovery regimes, depending on whether the sites were exposed to non-treated crude oil or dispersed crude oil. While this study does not definitively determine whether or not dispersants should be applied in tropical nearshore environments, it is illustrative of the environmental and ecosystem trade-offs between surface oil impacts to the shoreline, compared to water column exposure from chemically dispersed oil. This paper provides an overview of the results and observations reported in numerous previous TROPICS publications, as a progression of damage and recovery over time. With this perspective, planners and responders can use this study to predict what damages/recoveries may be expected from an oil spill incident in this environment. The results of the TROPICS experiment are examined within the context of this recent parallel research from the perspective of ongoing implications for oil spill preparedness and response.

scholarly journals Metagenomics insight into microbial dynamics in field-scale remediation of crude oil-polluted soil

2020 ◽  
Author(s):  
Chioma Blaise Chikere ◽  
Memory Tekere ◽  
Rasheed Adeleke
Keyword(s):  
Crude Oil ◽  
Oil Spill ◽  
Niger Delta ◽  
Oil Pollution ◽  
Alpha Diversity ◽  
Cost Effective ◽  
Field Scale ◽  
Microbial Dynamics ◽  
Microbial Profile ◽  
Naphthalene Degradation

Abstract Background: The frequency of crude oil pollution has been on the increase following increased exploration, exploitation and production of energy from fossil fuel. Bioremediation has been shown to be eco-friendly and cost-effective method of oil spill remediation. In the Niger Delta, Landfarming has been the most used technique. The aim of this research was to employ metagenomic techniques to understand microbial dynamics during field-scale remediation in the Niger Delta in order to improve and reduce the time of remediation. Results: The surface (0.0 – 0.5m) sample had an extractable TPH value of 6231 mg/kg. The subsurface samples from 1m, 1.5m and 2.0m depths had extractable TPH concentration of 4836 mg/kg, 9112 mg/kg and 7273 mk/kg respectively. Proteobacteria dominated the soil microbial profile in all the samples studied as it made up at least 50% of each sample and mostly comprised of the class Alphaproteobacteria with variation only on day 18 and 36 which was mostly dominated by the class Gammaproteobacteria and Betaproteobacteria. Alpha diversity analysis revealed the presence of crude oil in the soil reduced microbial diversity. Principal coordinate analysis showed the microbial structure continually changed following changes in the chemical composition of the soil. Mycobacterium, Burkholderia, Rhodoplanes, Methylobacterium and Bacillus were the core OTUs detected during the period of remediation. Significant variation in pathway abundance particularly pathways for propanoate degradation, benzoate degradation, naphthalene degradation, fatty acid metabolism, polycyclic aromatic hydrocarbon degradation and degradation of xenobiotics were observed when the unpolluted soil was compared to the samples obtained during remediation. Conclusions: The findings from this study will greatly advance an already preferred landfarming oil spill recovery technique in the Niger Delta.

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