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A model for predicting heavy metal concentrations in soils

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dc.contributor.author Frolova L.
dc.contributor.author Zakirov A.
dc.contributor.author Koroleva T.
dc.date.accessioned 2018-09-17T22:00:52Z
dc.date.available 2018-09-17T22:00:52Z
dc.date.issued 2005
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/135724
dc.description.abstract In the absence of 'a priori' information about the probable distribution of heavy metals in soils, it is relevant to carry out multiple parameter analyses of soil concentrations and to take into account a variety of factors. A method was developed to group existing soil data from the Predvolgie region of the Tatarstan Republic to forecast concentrations of heavy metals in similar soil environments. The predicted concentration of heavy metals in soils is obtained by applying a model that combines soil data using iterative statistical procedures of functional clustering and fuzzy sets. Currently, researchers do not have enough data from experimental and field research to construct adequate maps of soil pollution and estimates of the ecological state of the environment. Our proposed method permits a preliminary solution of these problems. © 2005 Springer-Verlag Berlin Heidelberg.
dc.subject functional clustering
dc.subject fuzzy sets
dc.subject heavy metals
dc.subject prediction model
dc.subject soils
dc.title A model for predicting heavy metal concentrations in soils
dc.type Chapter
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 177
dc.source.id SCOPUS-2005-SID84892030865


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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