Temat: multivariate method - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Recognition of Main Processes Forming Chemical Composition of the Supraśl River Water
Autorzy:: Skorbiłowicz, M.
Powiązania:: https://bibliotekanauki.pl/articles/124907.pdf
Data publikacji:: 2016
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: chemical composition
river water
multivariate statistical method
Opis:: The aim of the study was to identify and define the processes that affect the variability of the chemical composition of Supraśl river water at selected measuring points. One of the recognized multivariate statistical methods was used for identification. The research area covered the Suprasl river. Four measuring points were selected on the river – Michałowo, Gródek, Nowodworce, Dzikie. The measuring points were selected in such a way to take into account the impact of the most intense interaction located along the river. Changes in concentration were determined on the basis of monthly analyzes of water samples collected from the Supraśl river in 2003–2012 by the Regional Inspectorate for Environmental Protection (RIEP) in Białystok. The analyses were performed in the RIEP laboratory in Bialystok, which has implemented and maintained a management system that meets the requirements of the norm PN-EN ISO/IEC 17025 + Ap.1:2007 approved by the certificate AB 165. The water samples were subject to determinations of dissolved oxygen concentration, BOD₅, COD_Mn, COD_Cr, NH₃, N-NH₄⁺, N_Kieldahl, NO₃^-, N-NO₃^-, NO₂^-, N-NO₂^-, N_tot., PO₄^3-, Ptot and electrical conductivity value. The monthly sum of precipitation was read based on data from the Weather Service “IMGW-PIB Monitor”. The research and analysis results allowed to identify the self-cleaning, nitrification, and de-nitrification processes, as well as enrichment affecting the variability of the chemical composition of the Supraśl river water. The results from the factor analysis showed some prevailing of enrichment processes over internal changes in the aquatic environment of the Supraśl river.
Źródło:: Journal of Ecological Engineering; 2016, 17, 1; 154-160
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Application of Statistical Methods for the Comparative Study of the Degree of Pollution of Wastewater Collected from Three Olive Mills in Tangier-Tetouan-Al Hoceima Region (Northern Morocco)
Autorzy:: Es Saouini, Hind
Bouzid, Saida
Trankil, Abdellah
Amharref, Mina
Bernoussi, Abd Samed
Powiązania:: https://bibliotekanauki.pl/articles/24201736.pdf
Data publikacji:: 2023
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: olive mill wastewater
degree of pollution
multivariate statistical method
ACPN
HCPC
Opis:: Olive mill wastewaters represent a severe environmental problem, especially in Mediterranean countries. Indeed, the treatment and recovery processes developed so far remain very limited and their cost is very high. However, treatment by shallow evaporation ponds in the open air remains, until now, the most used technique despite the efforts made. The volume and characteristics of this liquid effluent depend, among other things, on the nature of the extraction process used. In this context, this work aims to evaluate the effect of the mode of trituration and storage in the evaporation ponds on the quality of olive oil mill wastewaters. These effluents were collected from three olive mills located in two different provinces in Northern Morocco during the 2021–2022 olive growing season. The sampling has considered different points according to different steps of the process. The analytical work corresponded to the measurement of in-situ parameters (Temperature (T°), Dissolved Oxygen (DO), Electrical Conductivity (EC) and pH degree (pH)) and other laboratory analysis (Suspension Matter (SM), Dry Matter (DM), Fatty Matter (FM), biochemical (BOD5) and chemical (COD)demands in oxygen). Results showed a high degree of environmental degradation. Indeed, these effluents are characterized, on average, by elevated concentrations of biological and chemical oxygen demands and suspended solids reaching up to 0.43 g/L ± 0.87, 1.69 g/L ±0.71 and 30.78 g/L ±25.1, respectively. This study also showed, except for two-phase olive mill BNANDA, a slightly alkaline nature of the vegetable waters (7.81<pH<8.52), as opposed to what was reported in the literature, and high levels in fat content (4.73 g/L ±3.85). Moreover, the estimated volume of vegetable water released in the study area during the 2019/2020 olive growing season (350×10³ m³) is very high considering its equivalence to domestic water. Normalized Principal Component Analysis (ACPN) and Hierarchical Principal Component Classification (HCPC) indicate that differences in the composition of this wastewater were more pronounced between the extraction processes than by the origins of the vegetable waters (fresh or stored in the natural evaporation pond).
Źródło:: Journal of Ecological Engineering; 2023, 24, 4; 320--332
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Anthropogenic and Climatic Causality of Changes in the Hydrological Regime of the Dnieper River
Autorzy:: Pichura, Vitalii Ivanovich
Potravka, Larisa Aleksandrovna
Skrypchuk, Petro Mikhalovich
Stratichuk, Natalia Vladimirovna
Powiązania:: https://bibliotekanauki.pl/articles/124640.pdf
Data publikacji:: 2020
Wydawca:: Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:: water regime
river flow
Dnieper River
retrospective analysis
multivariate statistics
Wavelet analysis
Holt-Winters method
prediction
Opis:: The intensive use of water resources and the transformation of natural landscapes under the influence of human economic activity have led to changes in the natural water balance of river drainage basins. The negative processes thereof are intensified by climatic changes that have significantly disturbed the hydrological regime, determined by changes in water content and river flow dynamics. The retrospective study and prediction of the flow of the Dnieper River was carried out using multivariate statistics and adaptive methods of nonlinear time series analysis. The anomalous features were identified and the main periods of changes in the water regime of the river for 190 years (1818–2008) were determined using the standard root-mean-square deviation and wavelet analysis. As a result of non-linear prediction, it was determined that if the tendency of anthropogenic and climatic formation of the water regime of the Dnieper River sustains, there is a 90% probability of insignificant but steady trend and cyclical reduction of the average annual flow by 1.6 m³/s per year to 1120 ± 270 m³/s by 2040. The results of the detailed retrospective analysis for 190 years and the prediction of the probability of changes in the flow of the Dnieper river confirm the previous conclusions of many scientists regarding the significant transformation of the ecosystem of the transboundary river and provide new knowledge regarding the main stages of formation of the water regime and the probability of further regulation of the flow of the Dnieper river if the current conditions of the negative impact of economic activities are maintained in the transboundary basin.
Źródło:: Journal of Ecological Engineering; 2020, 21, 4; 1-10
2299-8993
Pojawia się w:: Journal of Ecological Engineering
Dostawca treści:: Biblioteka Nauki

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