Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network

The goal of the present study is to assess the soil quality in Bulgaria using (i) an appropriate set of soil quality indicators, namely primary nutrients (C, N, P), acidity (pH), physical clay content and potentially toxic elements (PTEs: Cu, Zn, Cd, Pb, Ni, Cr, As, Hg) and (ii) respective data mini...
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Autor*in:	Galina Yotova [verfasserIn] Mariana Hristova [verfasserIn] Monika Padareva [verfasserIn] Vasil Simeonov [verfasserIn] Nikolai Dinev [verfasserIn] Stefan Tsakovski [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	soil analysis nutrients potentially toxic elements multivariate statistics principal components analysis cluster analysis

Übergeordnetes Werk:	In: Molecules - MDPI AG, 2003, 28(2023), 16, p 6091
Übergeordnetes Werk:	volume:28 ; year:2023 ; number:16, p 6091

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/molecules28166091

Katalog-ID:	DOAJ093572328

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520			\|a The goal of the present study is to assess the soil quality in Bulgaria using (i) an appropriate set of soil quality indicators, namely primary nutrients (C, N, P), acidity (pH), physical clay content and potentially toxic elements (PTEs: Cu, Zn, Cd, Pb, Ni, Cr, As, Hg) and (ii) respective data mining and modeling using chemometrical and geostatistical methods. It has been shown that five latent factors are responsible for the explanation of nearly 70% of the total variance of the data set available (principal components analysis) and each factor is identified in terms of its contribution to the formation of the overall soil quality—the mountain soil factor, the geogenic factor, the ore deposit factor, the low nutrition factor, and the mercury-specific factor. The obtained soil quality patterns were additionally confirmed via hierarchical cluster analysis. The spatial distribution of the patterns throughout the whole Bulgarian territory was visualized via the mapping of the factor scores for all identified latent factors. The mapping of identified soil quality patterns was used to outline regions where additional measures for the monitoring of the phytoavailability of PTEs were required. The suggested regions are located near to thermoelectric power plants and mining and metal production facilities and are characterized by intensive agricultural activity.
650		4	\|a soil analysis
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650		4	\|a potentially toxic elements
650		4	\|a multivariate statistics
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650		4	\|a cluster analysis
653		0	\|a Organic chemistry
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700	0		\|a Stefan Tsakovski \|e verfasserin \|4 aut
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allfieldsSound	10.3390/molecules28166091 doi (DE-627)DOAJ093572328 (DE-599)DOAJ21163e3985d34418806ffb0201c068e5 DE-627 ger DE-627 rakwb eng QD241-441 Galina Yotova verfasserin aut Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The goal of the present study is to assess the soil quality in Bulgaria using (i) an appropriate set of soil quality indicators, namely primary nutrients (C, N, P), acidity (pH), physical clay content and potentially toxic elements (PTEs: Cu, Zn, Cd, Pb, Ni, Cr, As, Hg) and (ii) respective data mining and modeling using chemometrical and geostatistical methods. It has been shown that five latent factors are responsible for the explanation of nearly 70% of the total variance of the data set available (principal components analysis) and each factor is identified in terms of its contribution to the formation of the overall soil quality—the mountain soil factor, the geogenic factor, the ore deposit factor, the low nutrition factor, and the mercury-specific factor. The obtained soil quality patterns were additionally confirmed via hierarchical cluster analysis. The spatial distribution of the patterns throughout the whole Bulgarian territory was visualized via the mapping of the factor scores for all identified latent factors. The mapping of identified soil quality patterns was used to outline regions where additional measures for the monitoring of the phytoavailability of PTEs were required. The suggested regions are located near to thermoelectric power plants and mining and metal production facilities and are characterized by intensive agricultural activity. soil analysis nutrients potentially toxic elements multivariate statistics principal components analysis cluster analysis Organic chemistry Mariana Hristova verfasserin aut Monika Padareva verfasserin aut Vasil Simeonov verfasserin aut Nikolai Dinev verfasserin aut Stefan Tsakovski verfasserin aut In Molecules MDPI AG, 2003 28(2023), 16, p 6091 (DE-627)311313132 (DE-600)2008644-1 14203049 nnns volume:28 year:2023 number:16, p 6091 https://doi.org/10.3390/molecules28166091 kostenfrei https://doaj.org/article/21163e3985d34418806ffb0201c068e5 kostenfrei https://www.mdpi.com/1420-3049/28/16/6091 kostenfrei https://doaj.org/toc/1420-3049 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 28 2023 16, p 6091
language	English
source	In Molecules 28(2023), 16, p 6091 volume:28 year:2023 number:16, p 6091
sourceStr	In Molecules 28(2023), 16, p 6091 volume:28 year:2023 number:16, p 6091
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	soil analysis nutrients potentially toxic elements multivariate statistics principal components analysis cluster analysis Organic chemistry
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container_title	Molecules
authorswithroles_txt_mv	Galina Yotova @@aut@@ Mariana Hristova @@aut@@ Monika Padareva @@aut@@ Vasil Simeonov @@aut@@ Nikolai Dinev @@aut@@ Stefan Tsakovski @@aut@@
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callnumber-first	Q - Science
author	Galina Yotova
spellingShingle	Galina Yotova misc QD241-441 misc soil analysis misc nutrients misc potentially toxic elements misc multivariate statistics misc principal components analysis misc cluster analysis misc Organic chemistry Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network
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topic_title	QD241-441 Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network soil analysis nutrients potentially toxic elements multivariate statistics principal components analysis cluster analysis
topic	misc QD241-441 misc soil analysis misc nutrients misc potentially toxic elements misc multivariate statistics misc principal components analysis misc cluster analysis misc Organic chemistry
topic_unstemmed	misc QD241-441 misc soil analysis misc nutrients misc potentially toxic elements misc multivariate statistics misc principal components analysis misc cluster analysis misc Organic chemistry
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title	Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network
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title_full	Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network
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author_browse	Galina Yotova Mariana Hristova Monika Padareva Vasil Simeonov Nikolai Dinev Stefan Tsakovski
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title_sort	multivariate exploratory analysis of the bulgarian soil quality monitoring network
callnumber	QD241-441
title_auth	Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network
abstract	The goal of the present study is to assess the soil quality in Bulgaria using (i) an appropriate set of soil quality indicators, namely primary nutrients (C, N, P), acidity (pH), physical clay content and potentially toxic elements (PTEs: Cu, Zn, Cd, Pb, Ni, Cr, As, Hg) and (ii) respective data mining and modeling using chemometrical and geostatistical methods. It has been shown that five latent factors are responsible for the explanation of nearly 70% of the total variance of the data set available (principal components analysis) and each factor is identified in terms of its contribution to the formation of the overall soil quality—the mountain soil factor, the geogenic factor, the ore deposit factor, the low nutrition factor, and the mercury-specific factor. The obtained soil quality patterns were additionally confirmed via hierarchical cluster analysis. The spatial distribution of the patterns throughout the whole Bulgarian territory was visualized via the mapping of the factor scores for all identified latent factors. The mapping of identified soil quality patterns was used to outline regions where additional measures for the monitoring of the phytoavailability of PTEs were required. The suggested regions are located near to thermoelectric power plants and mining and metal production facilities and are characterized by intensive agricultural activity.
abstractGer	The goal of the present study is to assess the soil quality in Bulgaria using (i) an appropriate set of soil quality indicators, namely primary nutrients (C, N, P), acidity (pH), physical clay content and potentially toxic elements (PTEs: Cu, Zn, Cd, Pb, Ni, Cr, As, Hg) and (ii) respective data mining and modeling using chemometrical and geostatistical methods. It has been shown that five latent factors are responsible for the explanation of nearly 70% of the total variance of the data set available (principal components analysis) and each factor is identified in terms of its contribution to the formation of the overall soil quality—the mountain soil factor, the geogenic factor, the ore deposit factor, the low nutrition factor, and the mercury-specific factor. The obtained soil quality patterns were additionally confirmed via hierarchical cluster analysis. The spatial distribution of the patterns throughout the whole Bulgarian territory was visualized via the mapping of the factor scores for all identified latent factors. The mapping of identified soil quality patterns was used to outline regions where additional measures for the monitoring of the phytoavailability of PTEs were required. The suggested regions are located near to thermoelectric power plants and mining and metal production facilities and are characterized by intensive agricultural activity.
abstract_unstemmed	The goal of the present study is to assess the soil quality in Bulgaria using (i) an appropriate set of soil quality indicators, namely primary nutrients (C, N, P), acidity (pH), physical clay content and potentially toxic elements (PTEs: Cu, Zn, Cd, Pb, Ni, Cr, As, Hg) and (ii) respective data mining and modeling using chemometrical and geostatistical methods. It has been shown that five latent factors are responsible for the explanation of nearly 70% of the total variance of the data set available (principal components analysis) and each factor is identified in terms of its contribution to the formation of the overall soil quality—the mountain soil factor, the geogenic factor, the ore deposit factor, the low nutrition factor, and the mercury-specific factor. The obtained soil quality patterns were additionally confirmed via hierarchical cluster analysis. The spatial distribution of the patterns throughout the whole Bulgarian territory was visualized via the mapping of the factor scores for all identified latent factors. The mapping of identified soil quality patterns was used to outline regions where additional measures for the monitoring of the phytoavailability of PTEs were required. The suggested regions are located near to thermoelectric power plants and mining and metal production facilities and are characterized by intensive agricultural activity.
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container_issue	16, p 6091
title_short	Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network
url	https://doi.org/10.3390/molecules28166091 https://doaj.org/article/21163e3985d34418806ffb0201c068e5 https://www.mdpi.com/1420-3049/28/16/6091 https://doaj.org/toc/1420-3049
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author2	Mariana Hristova Monika Padareva Vasil Simeonov Nikolai Dinev Stefan Tsakovski
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Multivariate Exploratory Analysis of the Bulgarian Soil Quality Monitoring Network

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