Apportionment of sources of heavy metals to agricultural soils using isotope fingerprints and multivariate statistical analyses

Environmental Pollution ◽

10.1016/j.envpol.2019.03.034 ◽

2019 ◽

Vol 249 ◽

pp. 208-216 ◽

Cited By ~ 22

Author(s):

Pengcong Wang ◽

Zhonggen Li ◽

Jinling Liu ◽

Xiangyang Bi ◽

Yongqiang Ning ◽

...

Keyword(s):

Heavy Metals ◽

Agricultural Soils ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical

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Appraisal of metallic pollution and ecological risks in agricultural soils of Alborz province, Iran, employing contamination indices and multivariate statistical analyses

International Journal of Environmental Health Research ◽

10.1080/09603123.2019.1677864 ◽

2019 ◽

pp. 1-19 ◽

Cited By ~ 6

Author(s):

Ahmad Heidari ◽

Vinod Kumar ◽

Ali Keshavarzi

Keyword(s):

Agricultural Soils ◽

Statistical Analyses ◽

Ecological Risks ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

Contamination Indices ◽

Metallic Pollution

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Multivariate statistical analyses of artificial radionuclides and heavy metals contaminations in deep mud of Keban Dam Lake, Turkey

Applied Radiation and Isotopes ◽

10.1016/j.apradiso.2007.08.014 ◽

2008 ◽

Vol 66 (2) ◽

pp. 236-246 ◽

Cited By ~ 22

Author(s):

Fatih Külahcı ◽

Zekâi Şen

Keyword(s):

Heavy Metals ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

Artificial Radionuclides

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Environmental quality and sources of heavy metals in the topsoil based on multivariate statistical analyses: a case study in Laiwu City, Shandong Province, China

Natural Hazards ◽

10.1007/s11069-015-2130-y ◽

2016 ◽

Vol 81 (3) ◽

pp. 1435-1445 ◽

Cited By ~ 9

Author(s):

Lei Yu ◽

Jiemin Cheng ◽

Jincheng Zhan ◽

Aixia Jiang

Keyword(s):

Heavy Metals ◽

Environmental Quality ◽

Shandong Province ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical

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Distribution Assessment and Source Identification Using Multivariate Statistical Analyses and Artificial Neutral Networks for Trace Elements in Agricultural Soils in Xinzhou of Shanxi Province, China

Pedosphere ◽

10.1016/s1002-0160(17)60304-7 ◽

2018 ◽

Vol 28 (3) ◽

pp. 542-554 ◽

Cited By ~ 2

Author(s):

Yuxian SHANGGUAN ◽

Bin CHENG ◽

Long ZHAO ◽

Hong HOU ◽

Jin MA ◽

...

Keyword(s):

Trace Elements ◽

Source Identification ◽

Agricultural Soils ◽

Statistical Analyses ◽

Shanxi Province ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

Neutral Networks

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Source apportionment of heavy metals in sediments of the urban rivers flowing into Haizhou Bay, Eastern China: using multivariate statistical analyses and Pb-Sr isotope fingerprints

Environmental Science and Pollution Research ◽

10.1007/s11356-021-13287-w ◽

2021 ◽

Author(s):

Xiaoqian Deng ◽

Yuling Wu ◽

Ye Liang ◽

Longjiang Mao ◽

Zhihai Tan ◽

...

Keyword(s):

Heavy Metals ◽

Source Apportionment ◽

Eastern China ◽

Statistical Analyses ◽

Urban Rivers ◽

Multivariate Statistical Analyses ◽

Sr Isotope ◽

Multivariate Statistical ◽

Haizhou Bay

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MULTIVARIATE STATISTICAL ANALYSES OF NAVAL AVIATION CADET SELECTION MEASURES.

PsycEXTRA Dataset ◽

10.1037/e446682004-001 ◽

1954 ◽

Author(s):

Robert F. Lockman

Keyword(s):

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Naval Aviation ◽

Multivariate Statistical ◽

Selection Measures

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MULTIVARIATE STATISTICAL ANALYSES OF DANUBE RIVER WATER QUALITY AT GALATI, ROMANIA

Environmental Engineering and Management Journal ◽

10.30638/eemj.2018.124 ◽

2018 ◽

Vol 17 (5) ◽

pp. 1249-1266

Author(s):

Gabriel Murariu ◽

Paula Popa ◽

Mihaela Timofti ◽

Lucian Puiu Georgescu

Keyword(s):

Water Quality ◽

River Water ◽

River Water Quality ◽

Statistical Analyses ◽

Danube River ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical

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Hydrogeochemistry and isotope compositions of multi-layered aquifer systems in the Recife Metropolitan Region, Pernambuco (NE Brazil): An integrated approach using multivariate statistical analyses

Journal of South American Earth Sciences ◽

10.1016/j.jsames.2021.103323 ◽

2021 ◽

pp. 103323

Author(s):

Thyego R. Silva ◽

Teresa E. Leitão ◽

Mariucha M.C. Lima ◽

Tiago N. Martins ◽

Manuel M. Oliveira ◽

...

Keyword(s):

Integrated Approach ◽

Statistical Analyses ◽

Metropolitan Region ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

Aquifer Systems

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Non-targeted 1H NMR fingerprinting and multivariate statistical analyses for the characterisation of the geographical origin of Italian sweet cherries

Food Chemistry ◽

10.1016/j.foodchem.2013.05.135 ◽

2013 ◽

Vol 141 (3) ◽

pp. 3028-3033 ◽

Cited By ~ 35

Author(s):

F. Longobardi ◽

A. Ventrella ◽

A. Bianco ◽

L. Catucci ◽

I. Cafagna ◽

...

Keyword(s):

1H Nmr ◽

Geographical Origin ◽

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical ◽

Sweet Cherries

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Applying the scores of multivariate statistical analyses to characterize the relationships between the hydrochemical properties and groundwater conditions in respect of the monsoon variation in Kapas Island, Terengganu, Malaysia

Environmental Earth Sciences ◽

10.1007/s12665-017-6487-y ◽

2017 ◽

Vol 76 (4) ◽

Cited By ~ 4

Author(s):

Noorain Mohd Isa ◽

Ahmad Zaharin Aris ◽

Tahoora Sheikhy Narany ◽

Wan Nor Azmin Sulaiman

Keyword(s):

Statistical Analyses ◽

Multivariate Statistical Analyses ◽

Multivariate Statistical

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