Temat: cluster analysis (CA) - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Assessment of the influence of soil properties on 137Cs accumulation in Of horizon in forest soils
Autorzy:: Ziembik, Z.
Dołhańczuk-Śródka, A.
Wacławek, M.
Powiązania:: https://bibliotekanauki.pl/articles/148398.pdf
Data publikacji:: 2010
Wydawca:: Instytut Chemii i Techniki Jądrowej
Tematy:: 137Cs
forest soil
physicochemical parameters
cluster analysis (CA)
principal component analysis (PCA)
Opis:: The work focuses on assessment of soil physicochemical parameters influence on 137Cs accumulation in Of soil horizon. Besides organic matter content and pH, the parameters related to sorption properties and mobile ions concentration were considered. The data were transformed using Box-Cox formula. To find mutual relationships between variables cluster analysis (CA) and principal components analysis (PCA) were used. It was found that the transformed physicochemical parameters in Of horizon are more or less related with each other but no linear or nearly linear relationships between 137Cs activity and physicochemical parameters were found.
Źródło:: Nukleonika; 2010, 55, 2; 205-212
0029-5922
1508-5791
Pojawia się w:: Nukleonika
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Evaluation of water treatment plants quality in Basrah Province, by factor and cluster analysis
Autorzy:: Al Saad, Zainb A.A.
Hamdan, Ahmed N.A.
Powiązania:: https://bibliotekanauki.pl/articles/293213.pdf
Data publikacji:: 2020
Wydawca:: Instytut Technologiczno-Przyrodniczy
Tematy:: cluster analysis (CA)
factor analysis (FA)
multivariate statistics
the Shatt Al Arab River
water quality
water treatment plant
Opis:: The Shatt Al Arab River (SAAR) is a major source of raw water for most water treatment plants (WTP’s) located along with it in Basrah province. This study aims to determine the effects of different variables on water quality of the SAAR, using multivariate statistical analysis. Seventeen variables were measured in nine WTP’s during 2017, these sites are Al Hussain (1), Awaissan (2), Al Abass (3), Al Garma (4), Mhaigran (5), Al Asmaee (6), Al Jubaila (7), Al Baradia (8), Al Lebani (9). The dataset is treated using principal component analysis (PCA) / factor analysis (FA), cluster analysis (CA) to the most important factors affecting water quality, sources of contamination and the suitability of water for drinking and irrigation. Three factors are responsible for the data structure representing 88.86% of the total variance in the dataset. CA shows three different groups of similarity between the sampling stations, in which station 5 (Mhaigran) is more contaminated than others, while station 3 (Al Abass) and 6 (Al Asmaee) are less contaminated. Electrical conductivity (EC) and sodium adsorption ratio (SAR) are plotted on Richard diagram. It is shown that the samples of water of Mhaigran are located in the class of C4-S3 of very high salinity and sodium, water samples of Al Abass station, are located in the class of C3-S1 of high salinity and low sodium, and others are located in the class of C4-S2 of high salinity and medium sodium. Generally, the results of most water quality parameters reveal that SAAR is not within the permissible levels of drinking and irrigation.
Źródło:: Journal of Water and Land Development; 2020, 46; 10-19
1429-7426
2083-4535
Pojawia się w:: Journal of Water and Land Development
Dostawca treści:: Biblioteka Nauki

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