Mathematical forecasting methods for predicting lead contents in animal organs on the basis of the environmental conditions
PBN-AR
Instytucja
Wydział Rolniczo-Ekonomiczny (Uniwersytet Rolniczy im. Hugona Kołłątaja w Krakowie)
Informacje podstawowe
Główny język publikacji
en
Czasopismo
Ecotoxicology and Environmental Safety
ISSN
0147-6513
EISSN
Wydawca
DOI
URL
Rok publikacji
2014
Numer zeszytu
110
Strony od-do
232-238
Numer tomu
Identyfikator DOI
Liczba arkuszy
0.5
Autorzy
Słowa kluczowe
en
Adaptation algorithm, Interpolation methods, Lead transfer, Multilayer neural networks, Pollution with heavy metals
Streszczenia
Język
en
Treść
The main objective of this study was to determine and describe the lead transfer in the soil-plant-animal system in areas polluted with this metal at varying degrees, with the use of mathematical forecasting methods and data mining tools contained in the Statistica 9.0 software programme. The starting point for the forecasting models comprised results derived from an analysis of different features of soil and plants, collected from 139 locations in an area covering 100km(2) around a lead-zinc ore mining and processing plant ('Boleslaw'), at Bukowno in southern Poland. In addition, the lead content was determined in the tissues and organs of 110 small rodents (mainly mice) caught in the same area. The prediction models, elaborated with the use of classification algorithms, forecasted with high probability the class (range) of pollution in animal tissues and organs with lead, based on various soil and plant properties of the study area. However, prediction models which use multilayer neural networks made it possible to calculate the content of lead (predicted versus measured) in animal tissues and organs with an excellent correlation coefficient.
Inne
System-identifier
UR6f3cd61a5cd54290b37510a9253ef3a9
CrossrefMetadata from Crossref logo
Cytowania
Liczba prac cytujących tę pracę
Brak danych
Referencje
Liczba prac cytowanych przez tę pracę
Brak danych