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Identification of spatial patterns and sources of heavy metals in greenhouse soils using geostatistical and positive matrix factorization ( PMF ) methods

Dados Bibliográficos

ID21648840
AutoresMin Meng (0000-0002-1977-4650, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing PR China), Linsheng Yang (0000-0001-9603-6507, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing PR China), Jiangping Yu (0000-0003-2539-5216, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing PR China), B Wei (0000-0003-3999-1078, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing PR China, autor correspondente), Hairong Li (0000-0001-6098-1689, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing PR China), Zhiqiang Cao (0009-0007-0334-5337, Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing PR China), Qing Chen (0000-0002-2612-5691, College of Resources and Environmental Sciences China Agricultural University Beijing PR China), Guoyin Zhang (0000-0003-4833-1741, Hebei Academy of Agriculture and Forestry Sciences Institute of Agricultural Resources and Environment Shijiazhuang PR China)
Ano2021
Volume32
Fascículo18
Páginas5412-5426
Data de publicação2021-12-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoLand Degradation and Development (JOURNAL)
Identificadores do periódicoISSN: 1085-3278 • E-ISSN: 1099-145X
EditoraWiley (PUBLISHER • GB)
DOI10.1002/ldr.4117
OpenAlexW3203923198
IdiomaEN
Referências citadas47

Greenhouse vegetable products are important dietary sources. Heavy metals in greenhouse soils are associated with food safety and public health. Therefore, heavy metals in greenhouse soils are of significant concern. This study used positive matrix factorization (PMF) and geostatistical analyses to assess possible sources and spatial distribution patterns of heavy metals in 248 greenhouse soil samples obtained from southern Hebei Province, China. The results showed that the mean arsenic (As), cadmium (Cd), chromium (Cr), copper (Cu), mercury (Hg), nickel (Ni), lead (Pb), and zinc (Zn) concentrations in the greenhouse soil samples were 13.5, 0.16, 74.3, 31.4, 0.03, 26.0, 156, and 98.0 mg/kg, respectively. Approximately 97.18%, 32.26%, 25.81%, 22.98%, 8.06%, 6.45%, 2.02%, and 0.40% of sample sites were contaminated with Cd, Cu, Hg, Zn, Cr, As, Pb, and Ni, respectively. The PMF indicated that Cd and Pb was mainly influenced by metal smelting activity; Cu and Zn accumulation in greenhouse soils was mainly from manure and chemical fertilizer application, while Ni, Cr, and As were strongly derived from natural sources. The spatial distribution patterns varied among metals, with Ni and Pb mainly controlled by natural factors, whereas Cd, Cu, Cr, and Zn were moderately to strongly influenced by fertilizer application. However, Pb is also affected by atmospheric deposition caused by industrial emissions. The spatial distribution of As is controlled by both natural and anthropogenic factors

Agronomy · Arsenic · Cadmium · Chromium · Fertilizer · Greenhouse · Smelting · Soil test · Soil water · Spatial distribution · Chemistry · Environmental Science · Geochemistry and Geologic Mapping · Heavy metals in environment · Radioactivity and Radon Measurements · Environmental Chemistry · Geology · Soil Science

  • The Analysis of Spatial Association by Use of Distance Statistics

    Open Access•Arthur Getis, J K Ord•Geographical Analysis•1992

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