scholarly journals NEW METHOD TO DEFINE SOIL POLLUTION LEVEL WITH CRUDE OIL HYDROCARBONS BY USING DATA OF VEGETATIONS REFLECTION SPECTRUM

2018 ◽  
Vol 16 (6) ◽  
pp. 115
Author(s):  
N.Z. Mursalov ◽  
R.A. Eminov ◽  
A.E. Ibragimova ◽  
N.H. Djavadov
Keyword(s):  
Crude Oil ◽  
Soil Pollution ◽  
Reflection Spectrum ◽  
New Method ◽  
Pollution Level ◽  
Oil Hydrocarbons ◽  
Using Data

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 Management Evaluate and Review Solutions to Reduce Soil Pollution

2020 ◽  
Vol 4 (3) ◽  
pp. 1-8
Author(s):  
Mohammad Beykzade ◽  
Sepide Beykzade
Keyword(s):  
Crude Oil ◽  
Soil Pollution ◽  
Environmental Degradation ◽  
Contaminated Soils ◽  
Oil Pollution ◽  
Environmental Issues ◽  
Electrochemical Methods ◽  
Human Beings ◽  
Oil Hydrocarbons ◽  
Natural Mixture

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.

scholarly journals A Model for Selecting a Strategic Information System Using the FITradeoff

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Ana Paula Henriques de Gusmão ◽  
Cristina Pereira Medeiros
Keyword(s):  
Information System ◽  
Information Systems ◽  
Decision Maker ◽  
Additive Model ◽  
New Method ◽  
Strategic Information ◽  
Perceived Need ◽  
Using Data ◽  
Strategic Information System ◽  
Glass Packaging

This paper arose from the perceived need to make a contribution towards assessing a strategic information system by using a new method for eliciting the weights of criteria. This is considered one of the most complex and important stages in multicriteria models. Multicriteria models have been proposed to support decisions in the context of information systems given that problems in this field deal with many conflicting criteria. The new procedure for eliciting the weights of the criteria has the advantage of requiring less effort from the decision-maker and, thus, the risk of inconsistent answers is minimized. Therefore, a model based on this new procedure is proposed and applied using data from a glass packaging factory that needs to select a single information system from a set of systems previously identified as relevant. The results obtained are consistent both with the performance of alternatives and with the additive model used to evaluate the alternatives.

Functional Analysis of Intermittently Reinforced Behaviour: A Case Study

1999 ◽  
Vol 16 (4) ◽  
pp. 219-225 ◽  
Author(s):  
Don Tustin
Keyword(s):  
Functional Analysis ◽  
Problem Solving ◽  
Personality Disorder ◽  
Revealed Preference ◽  
New Method ◽  
Dependent Personality Disorder ◽  
Dependent Personality ◽  
Standard Problem ◽  
Using Data

AbstractFunctional analysis is used to identify potential reinforcers by generating hypotheses about possible functions of a behaviour. Current methods of functional analysis emphasise observations of events, especially consequences, that occur in the immediate environment of the behaviour. While these methods are well suited for assessing behaviour that is reinforced frequently, they are less appropriate for assessing behaviour that is reinforced only intermittently. A new method for conducting functional analysis is presented that is designed to assess intermittently reinforced behaviour. The new method is illustrated using data that were gathered from an extension of a standard problem-solving format. Data are interpreted using the principle of revealed preference that arose from behavioural economics. The revealed preference method is illustrated using information provided by a client with a dependent personality disorder.

scholarly journals A simple new method for identifying performance characteristics associated with success in elite tennis

2018 ◽  
Vol 14 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Anna Fitzpatrick ◽  
Joseph A Stone ◽  
Simon Choppin ◽  
John Kelley
Keyword(s):  
Performance Analysis ◽  
Statistical Methods ◽  
Rank Order ◽  
Large Datasets ◽  
Performance Characteristics ◽  
New Method ◽  
Considerable Time ◽  
Simple Method ◽  
Suitable Alternative ◽  
Using Data

Performance analysis and identifying performance characteristics associated with success are of great importance to players and coaches in any sport. However, while large amounts of data are available within elite tennis, very few players employ an analyst or attempt to exploit the data to enhance their performance; this is partly attributable to the considerable time and complex techniques required to interpret these large datasets. Using data from the 2016 and 2017 French Open tournaments, we tested the agreement between the results of a simple new method for identifying important performance characteristics (the Percentage of matches in which the Winner Outscored the Loser, PWOL) and the results of two standard statistical methods to establish the validity of the simple method. Spearman’s rank-order correlations between the results of the three methods demonstrated excellent agreement, with all methods identifying the same three performance characteristics ( points won of 0–4 rally length, baseline points won and first serve points won) as strongly associated with success. Consequently, we propose that the PWOL method is valid for identifying performance characteristics associated with success in tennis, and is therefore a suitable alternative to more complex statistical methods, as it is simpler to calculate, interpret and contextualise.

Correction for Geomagnetic Secular Variation Effects: A New Method (Case Study of the Altai Geodynamic Network)

2021 ◽  
Vol 62 (2) ◽  
pp. 255-262
Author(s):  
D.A. Kuleshov ◽  
P.G. Dyadkov ◽  
V.V. Plotkin
Keyword(s):  
Secular Variation ◽  
Surface Deformation ◽  
Liquid Core ◽  
New Method ◽  
Space Distribution ◽  
Main Magnetic Field ◽  
Positive Anomaly ◽  
Geomagnetic Secular Variation ◽  
Using Data ◽  
Curie Surface

Abstract ––The study focuses on detection of geomagnetic secular variation and the respective correction of tectonomagnetic data. A new technique is proposed for picking the secular variation component in the Earth’s main magnetic field recorded by precise measurements at 100 to 500 km sites on the surface. Long-period field variations presumably arise from fluid motions in the liquid core, at depths of 3000 km, whereas the sizes of observation networks are within 500 km. The sources of secular variation, irrespective of their configuration, are much deeper than those of tectonomagnetic anomalies located above the Curie surface depths of ~10 to 20 km. Therefore, the surfaces that represent the space distribution of secular variation must be smoother than the respective surfaces for tectonomagnetic anomalies. The problem is thus to separate the regional and local signals from the two types of sources located at different depths. The new method is tested using data of yearly geomagnetic measurements at more than 30 repeat stations of a ~120 km long geodynamic network in Gorny Altai spanning the period from 2004 through 2018. The secular variation pattern is reconstructed by quadratic interpolation. The precise data corrected for secular variation of the main field reveal previously hidden tectonomagnetic anomalies up to 12 nT. The 3 nT positive anomaly falls within the zone of surface deformation caused by the Mw = 7.3 Chuya earthquake of 27 September 2003.

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