Management and statistical analysis of a data file for undersea mining of manganese nodules

1976 ◽  
Vol 2 (3) ◽  
pp. 321-324 ◽  
Author(s):  
J.M. Monget ◽  
P. Roux
Keyword(s):  
Statistical Analysis ◽  
Data File ◽  
Manganese Nodules ◽  
Undersea Mining

Frequency-magnitude-time relationships in the NGSDC earthquake data file

1979 ◽  
Vol 69 (6) ◽  
pp. 2085-2099
Author(s):  
E. D. Bloom ◽  
R. C. Erdmann
Keyword(s):  
Statistical Analysis ◽  
Data Base ◽  
Accurate Determination ◽  
Data File ◽  
Event Magnitude ◽  
Frequency Magnitude ◽  
Earthquake Data

abstract In performing a statistical analysis of the NGSDC data base, we have found completeness problems in time and magnitude which can affect the accurate determination of derivative frequency-magnitude relations. Techniques are suggested which may circumvent most inaccuracies. In particular, the choice of event magnitude is important in minimizing distortion in frequency-magnitude relations. A new working magnitude, M3, is suggested as useful for the NGSDC data base, where M 3 = [ M S , if it is present Max ( m b , M L , M u ) , m b < 6 , M S is not present Max [ ( 2 . 0 m b − 5.4 ) , M L , M u ] , m b ≧ 6 , M S is not present . After correcting for time bias the use of M3 reduces distortion of frequency-magnitude distributions derived from the NGSDC data base as compared to previous magnitude definitions used.

scholarly journals Use of tailings in mn dissolution from marine nodule matrix

2021 ◽  
Vol 266 ◽  
pp. 02008
Author(s):  
N. Herrera ◽  
N. Toro
Keyword(s):  
Statistical Analysis ◽  
Biogeochemical Processes ◽  
Base Metals ◽  
Manganese Nodules ◽  
Factorial Experimental Design ◽  
High Demand ◽  
Rare Elements ◽  
Mn Recovery ◽  
Manganese Extraction ◽  
Excellent Source

The nodules are spherical bodies that are scattered within the sedimentary zone of the seabed, and their growth is closely associated with the biogeochemical processes and water sediments. These nodules are mainly composed of Mn, Fe, SiO2, Ca, Ni, Cu, Co and Al. Manganese nodules are an excellent source of base metals and sought-after and rare elements and the fact that they are used as a base elements matrix will be in high demand in industry. Previous studies have shown that primary con-centrations of chemical such as Fe in the system are beneficial for increas-ing manganese extraction. However, it is necessary to optimize the opera-tional parameters so as to maximise Mn recovery. This work investigates the effect of using of tailings, obtained after slag flotation ata foundry plant on the dissolution of Mn from marine nodules, where statistical analysis was distributed using factorial experimental design ontime, MnO2/Fe2O3 ratio, and H2SO4 concentration.

Statistical analysis of classification

1966 ◽  
Vol 24 ◽  
pp. 188-189
Author(s):  
T. J. Deeming
Keyword(s):  
Multivariate Analysis ◽  
Statistical Analysis ◽  
Classification Scheme ◽  
Analytical Procedure ◽  
Narrow Band ◽  
Scientific Research ◽  
Maximum Amount ◽  
Amount Of Information

If we make a set of measurements, such as narrow-band or multicolour photo-electric measurements, which are designed to improve a scheme of classification, and in particular if they are designed to extend the number of dimensions of classification, i.e. the number of classification parameters, then some important problems of analytical procedure arise. First, it is important not to reproduce the errors of the classification scheme which we are trying to improve. Second, when trying to extend the number of dimensions of classification we have little or nothing with which to test the validity of the new parameters.Problems similar to these have occurred in other areas of scientific research (notably psychology and education) and the branch of Statistics called Multivariate Analysis has been developed to deal with them. The techniques of this subject are largely unknown to astronomers, but, if carefully applied, they should at the very least ensure that the astronomer gets the maximum amount of information out of his data and does not waste his time looking for information which is not there. More optimistically, these techniques are potentially capable of indicating the number of classification parameters necessary and giving specific formulas for computing them, as well as pinpointing those particular measurements which are most crucial for determining the classification parameters.

Quantitative parallel EELS spectrum imaging developed as a new tool in AEM

1992 ◽  
Vol 50 (2) ◽  
pp. 1202-1203
Author(s):  
Gianluigi Botton ◽  
Gilles L'espérance
Keyword(s):  
Statistical Analysis ◽  
Spatial Resolution ◽  
Personal Computer ◽  
Systematic Study ◽  
Present Author ◽  
Chemical Elements ◽  
Detection Limits ◽  
Research Groups ◽  
Quantitative Performance ◽  
Spectrum Imaging

As interest for parallel EELS spectrum imaging grows in laboratories equipped with commercial spectrometers, different approaches were used in recent years by a few research groups in the development of the technique of spectrum imaging as reported in the literature. Either by controlling, with a personal computer both the microsope and the spectrometer or using more powerful workstations interfaced to conventional multichannel analysers with commercially available programs to control the microscope and the spectrometer, spectrum images can now be obtained. Work on the limits of the technique, in terms of the quantitative performance was reported, however, by the present author where a systematic study of artifacts detection limits, statistical errors as a function of desired spatial resolution and range of chemical elements to be studied in a map was carried out The aim of the present paper is to show an application of quantitative parallel EELS spectrum imaging where statistical analysis is performed at each pixel and interpretation is carried out using criteria established from the statistical analysis and variations in composition are analyzed with the help of information retreived from t/γ maps so that artifacts are avoided.

Sign in / Sign up

Export Citation Format

Share Document