NDLI: Tools based on multivariate statistical analysis for classification of soil and groundwater in Apulian agricultural sites

Content Provider	Springer Nature Link
Author	Ielpo, Pierina Leardi, Riccardo Pappagallo, Giuseppe Uricchio, Vito Felice
Copyright Year	2016
Abstract	In this paper, the results obtained from multivariate statistical techniques such as PCA (Principal component analysis) and LDA (Linear discriminant analysis) applied to a wide soil data set are presented. The results have been compared with those obtained on a groundwater data set, whose samples were collected together with soil ones, within the project “Improvement of the Regional Agro-meteorological Monitoring Network (2004–2007)”. LDA, applied to soil data, has allowed to distinguish the geographical origin of the sample from either one of the two macroaeras: Bari and Foggia provinces vs Brindisi, Lecce e Taranto provinces, with a percentage of correct prediction in cross validation of 87%. In the case of the groundwater data set, the best classification was obtained when the samples were grouped into three macroareas: Foggia province, Bari province and Brindisi, Lecce and Taranto provinces, by reaching a percentage of correct predictions in cross validation of 84%. The obtained information can be very useful in supporting soil and water resource management, such as the reduction of water consumption and the reduction of energy and chemical (nutrients and pesticides) inputs in agriculture.
Starting Page	13967
Ending Page	13978
Page Count	12
File Format	PDF
ISSN	09441344
Journal	Environmental Science and Pollution Research
Volume Number	24
Issue Number	16
e-ISSN	16147499
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-10-29
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Agricultural soil Groundwater PCA LDA Classification Multivariate analysis Soil quality Environment Environmental Chemistry Ecotoxicology Environmental Health Atmospheric Protection/Air Quality Control/Air Pollution Waste Water Technology Water Pollution Control Water Management Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Health, Toxicology and Mutagenesis Pollution Medicine

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