Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse Model

Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse Model

Heavy metal enrichment in the soil affects health of animal, plant, and human. Therefore, the situation of heavy metal pollution and distributing rule is worth to research. This article investigated and assessed the status of pollution of heavy metals such as Cd, Hg, Pb, Cr, Ni, Ti, and Au in the st...

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Main Authors: Luo Qiu, Gui Zhang, Deqing Yu, Qiming Xiong
Format: Article
Language:English
Published: AIDIC Servizi S.r.l. 2018-07-01
Series:Chemical Engineering Transactions
Online Access:https://www.cetjournal.it/index.php/cet/article/view/2762
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spelling doaj-ef6e0f88d1a447e981b652a5e17caeea2021-02-17T21:03:07ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162018-07-016610.3303/CET1866104Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse ModelLuo QiuGui ZhangDeqing YuQiming XiongHeavy metal enrichment in the soil affects health of animal, plant, and human. Therefore, the situation of heavy metal pollution and distributing rule is worth to research. This article investigated and assessed the status of pollution of heavy metals such as Cd, Hg, Pb, Cr, Ni, Ti, and Au in the study area. The singular value decomposition and joint sparse model have been successfully applied to map the distribution of elements such as Ni, Ti and Au in the research area. And the algorithm was found to be efficient, accurate and consistent with Nemerow index data and existing methods. This study lays a theoretical and instrumental foundation for future research using remote sensing analysis in a variety of areas, including geochemistry and human health.https://www.cetjournal.it/index.php/cet/article/view/2762
collection DOAJ
language English
format Article
sources DOAJ
author Luo Qiu
Gui Zhang
Deqing Yu
Qiming Xiong
spellingShingle Luo Qiu
Gui Zhang
Deqing Yu
Qiming Xiong
Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse Model
Chemical Engineering Transactions
author_facet Luo Qiu
Gui Zhang
Deqing Yu
Qiming Xiong
author_sort Luo Qiu
title Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse Model
title_short Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse Model
title_full Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse Model
title_fullStr Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse Model
title_full_unstemmed Distribution of Anomaly Elements in Soil Heavy Metals Based on Singular Value Decomposition and Joint Sparse Model
title_sort distribution of anomaly elements in soil heavy metals based on singular value decomposition and joint sparse model
publisher AIDIC Servizi S.r.l.
series Chemical Engineering Transactions
issn 2283-9216
publishDate 2018-07-01
description Heavy metal enrichment in the soil affects health of animal, plant, and human. Therefore, the situation of heavy metal pollution and distributing rule is worth to research. This article investigated and assessed the status of pollution of heavy metals such as Cd, Hg, Pb, Cr, Ni, Ti, and Au in the study area. The singular value decomposition and joint sparse model have been successfully applied to map the distribution of elements such as Ni, Ti and Au in the research area. And the algorithm was found to be efficient, accurate and consistent with Nemerow index data and existing methods. This study lays a theoretical and instrumental foundation for future research using remote sensing analysis in a variety of areas, including geochemistry and human health.
url https://www.cetjournal.it/index.php/cet/article/view/2762
work_keys_str_mv AT luoqiu distributionofanomalyelementsinsoilheavymetalsbasedonsingularvaluedecompositionandjointsparsemodel
AT guizhang distributionofanomalyelementsinsoilheavymetalsbasedonsingularvaluedecompositionandjointsparsemodel
AT deqingyu distributionofanomalyelementsinsoilheavymetalsbasedonsingularvaluedecompositionandjointsparsemodel
AT qimingxiong distributionofanomalyelementsinsoilheavymetalsbasedonsingularvaluedecompositionandjointsparsemodel
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