Effect of natural rubber processing sludge on the degradation of crude oil hydrocarbons in soil

2002 ◽  
Vol 82 (1) ◽  
pp. 95-97 ◽  
Author(s):  
C.O Okieimen ◽  
F.E Okieimen
2021 ◽  
Vol 67 (No. 10) ◽  
pp. 423-434
Author(s):  
Kepulaje Abhaya Kumar ◽  
Prakash Pinto ◽  
Iqbal Thonse Hawaldar ◽  
Cristi Spulbar ◽  
Ramona Birau

The trading of natural rubber derivatives in the Indian commodity exchanges was banned several times in the past. Hence, in India, the derivatives on natural rubber are not traded actively and regularly. We have examined the possibility of a forecast model and a cross hedge tool for the natural rubber price by using crude oil futures in India. Results of the Johansen cointegration test proved that there is no cointegration equation in the model; hence, there is no scope to develop long-run models or error correction models. We have developed a vector autoregressive [VAR(2)] model to forecast the rubber price, and we examined the possibility of a cross hedge for natural rubber further by using the Pearson correlation coefficient and Granger causality test. We have extended our research to a structural VAR analysis to examine the effect of crude futures and exchange rate shocks on the natural rubber price. Our results showed that there is a short-term relationship between the crude oil futures price, the exchange rates of the US dollar to the Indian rupee, the Malaysian ringgit to the Indian rupee and the Thai baht to the Indian rupee; and the natural rubber price in India. The effort of policymakers to cause the Indian rupee to appreciate against the Thai baht and Malaysian ringgit may increase the natural rubber price in India. Natural rubber traders, growers and consumers can use crude futures to hedge the price risk. The Indian Rubber Board can suggest the VAR(2) model to predict the short-run price for natural rubber.


2019 ◽  
pp. 56-60
Author(s):  
L. Dj. Abdullayeva

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.


2014 ◽  
Vol 88 ◽  
pp. 185-191 ◽  
Author(s):  
Uzochukwu C. Ugochukwu ◽  
Martin D. Jones ◽  
Ian M. Head ◽  
David. A.C. Manning ◽  
Claire I. Fialips

2017 ◽  
Vol 123 (1-2) ◽  
pp. 286-290 ◽  
Author(s):  
Aadel Xaaldi Kalhor ◽  
Ali Movafeghi ◽  
Adel Dabbagh Mohammadi-Nassab ◽  
Ehsan Abedi ◽  
Ahmad Bahrami

2019 ◽  
Vol 33 (1) ◽  
pp. 863-872 ◽  
Author(s):  
Nelly Christova ◽  
Lyudmila Kabaivanova ◽  
Lilyana Nacheva ◽  
Petar Petrov ◽  
Ivanka Stoineva
Keyword(s):  

2020 ◽  
Vol 4 (3) ◽  
pp. 1-8
Author(s):  
Mohammad Beykzade ◽  
Sepide Beykzade

Crude oil is a complex natural mixture that is one of the main sources of energy for life. Oil pollution has unpleasant effects on the environment that can cause many problems for human beings, since the toxicity and carcinogenesis of oil compounds for living creatures and humans are obvious and proven. The oil-contaminated soils and waters are one of the most important environmental issues. Scientists have proved different ways to clean up oil pollution throughout history. In this research, ways to reduce and eliminate pollution of crude oil in the soil are going to be studied. The following methods are suggested : The use of electrochemical methods for reducing the aromatic contamination of crude oil, The use of biodegradable and synthetic detergents for the removal of oil hydrocarbons, bioremediation of soil contaminated with plants. Finally, by reviewing the results obtained, solutions can be found to clean up the pollution of crude oil from the soil, Because cleaning up crude from soil reduces environmental degradation.


2021 ◽  
Author(s):  
Abhaya Kumar ◽  
Prakash Pinto ◽  
Iqbal Thonse Hawaldar ◽  
Cristi Marcel Spulbar ◽  
Felicia Ramona Birau

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