Multivariate and geostatistical analyses of heavy metal pollution from different sources among farmlands in the Poyang Lake region, China
Purpose Intensive urbanization and industrialization activities have caused the continuous discharge of heavy metals into the soils of China’s Poyang Lake region, where they pose a major threat to human health. Yet, the spatial characteristics of these heavy metals in farmland soils and their pollut...
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Veröffentlicht in: | Journal of soils and sediments 2019-05, Vol.19 (5), p.2472-2484 |
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description | Purpose
Intensive urbanization and industrialization activities have caused the continuous discharge of heavy metals into the soils of China’s Poyang Lake region, where they pose a major threat to human health. Yet, the spatial characteristics of these heavy metals in farmland soils and their pollution sources in this region remain unclear.
Materials and methods
We collected 115, 84, 26, and 987 farmland soil samples with heavy metal pollution from different sources (industrial and mining enterprises, sewage irrigation, urban, and general farming) in the Poyang Lake region, respectively.
Results and discussion
Descriptive statistics revealed that 1.1% of As, 7.3% of Cd, 0.3% of Pb, and 0.2% of Hg concentrations did surpass China’s Soil Environmental Quality Management Standard (GB 15618-2018). In addition, 32.8% of As, 74.4% of Cd, 89.2% of Pb, 45.0% of Cr, and 13.7% of Hg concentrations of soil samples exceeded the background soil concentrations of heavy metals in this region, notably Cd and Pb, whose maximum values were respectively 11.64- and 21.47-fold the background values. Compared with general farming areas, the other three pollution sources had significantly higher concentrations of As, Cd, Pb, Cr, or Hg in their soils. The results of principal component (PC) and geostatistical analyses showed that PC strongly related to mainly As and Cr was mainly influenced by natural characteristics while PC closely related to mainly Cd, Pb, and Hg was driven by mainly human activities in farmland soils from the four sources.
Conclusions
Factor loadings for the different sources showed As and Cr on the same PCs, and Cd, Pb, and Hg on the other PCs, confirming the association of the heavy metal pollution with its sources. |
doi_str_mv | 10.1007/s11368-018-2222-x |
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Intensive urbanization and industrialization activities have caused the continuous discharge of heavy metals into the soils of China’s Poyang Lake region, where they pose a major threat to human health. Yet, the spatial characteristics of these heavy metals in farmland soils and their pollution sources in this region remain unclear.
Materials and methods
We collected 115, 84, 26, and 987 farmland soil samples with heavy metal pollution from different sources (industrial and mining enterprises, sewage irrigation, urban, and general farming) in the Poyang Lake region, respectively.
Results and discussion
Descriptive statistics revealed that 1.1% of As, 7.3% of Cd, 0.3% of Pb, and 0.2% of Hg concentrations did surpass China’s Soil Environmental Quality Management Standard (GB 15618-2018). In addition, 32.8% of As, 74.4% of Cd, 89.2% of Pb, 45.0% of Cr, and 13.7% of Hg concentrations of soil samples exceeded the background soil concentrations of heavy metals in this region, notably Cd and Pb, whose maximum values were respectively 11.64- and 21.47-fold the background values. Compared with general farming areas, the other three pollution sources had significantly higher concentrations of As, Cd, Pb, Cr, or Hg in their soils. The results of principal component (PC) and geostatistical analyses showed that PC strongly related to mainly As and Cr was mainly influenced by natural characteristics while PC closely related to mainly Cd, Pb, and Hg was driven by mainly human activities in farmland soils from the four sources.
Conclusions
Factor loadings for the different sources showed As and Cr on the same PCs, and Cd, Pb, and Hg on the other PCs, confirming the association of the heavy metal pollution with its sources.</description><identifier>ISSN: 1439-0108</identifier><identifier>EISSN: 1614-7480</identifier><identifier>DOI: 10.1007/s11368-018-2222-x</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Agricultural land ; Cadmium ; Chromium ; Earth and Environmental Science ; Environment ; Environmental management ; Environmental Physics ; Environmental quality ; Geostatistics ; Heavy metals ; Impaired water use ; Industrial pollution ; Industrialization ; Lakes ; Lead ; Mercury ; Mercury (metal) ; Metal concentrations ; Metals ; Pollution ; Pollution sources ; Quality management ; Sec 4 • Ecotoxicology • Research Article ; Sewage ; Soil ; Soil pollution ; Soil quality ; Soil Science & Conservation ; Soils ; Statistical analysis ; Statistical methods ; Urban agriculture ; Urbanization ; Wastewater irrigation</subject><ispartof>Journal of soils and sediments, 2019-05, Vol.19 (5), p.2472-2484</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Journal of Soils and Sediments is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-9a1ca5b35fa60d3fb7fa0158bbd8b958076787701ff3e48f0762b0e96068a1ef3</citedby><cites>FETCH-LOGICAL-c359t-9a1ca5b35fa60d3fb7fa0158bbd8b958076787701ff3e48f0762b0e96068a1ef3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11368-018-2222-x$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11368-018-2222-x$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51297</link.rule.ids></links><search><creatorcontrib>Jiang, Yefeng</creatorcontrib><creatorcontrib>Guo, Xi</creatorcontrib><title>Multivariate and geostatistical analyses of heavy metal pollution from different sources among farmlands in the Poyang Lake region, China</title><title>Journal of soils and sediments</title><addtitle>J Soils Sediments</addtitle><description>Purpose
Intensive urbanization and industrialization activities have caused the continuous discharge of heavy metals into the soils of China’s Poyang Lake region, where they pose a major threat to human health. Yet, the spatial characteristics of these heavy metals in farmland soils and their pollution sources in this region remain unclear.
Materials and methods
We collected 115, 84, 26, and 987 farmland soil samples with heavy metal pollution from different sources (industrial and mining enterprises, sewage irrigation, urban, and general farming) in the Poyang Lake region, respectively.
Results and discussion
Descriptive statistics revealed that 1.1% of As, 7.3% of Cd, 0.3% of Pb, and 0.2% of Hg concentrations did surpass China’s Soil Environmental Quality Management Standard (GB 15618-2018). In addition, 32.8% of As, 74.4% of Cd, 89.2% of Pb, 45.0% of Cr, and 13.7% of Hg concentrations of soil samples exceeded the background soil concentrations of heavy metals in this region, notably Cd and Pb, whose maximum values were respectively 11.64- and 21.47-fold the background values. Compared with general farming areas, the other three pollution sources had significantly higher concentrations of As, Cd, Pb, Cr, or Hg in their soils. The results of principal component (PC) and geostatistical analyses showed that PC strongly related to mainly As and Cr was mainly influenced by natural characteristics while PC closely related to mainly Cd, Pb, and Hg was driven by mainly human activities in farmland soils from the four sources.
Conclusions
Factor loadings for the different sources showed As and Cr on the same PCs, and Cd, Pb, and Hg on the other PCs, confirming the association of the heavy metal pollution with its sources.</description><subject>Agricultural land</subject><subject>Cadmium</subject><subject>Chromium</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental management</subject><subject>Environmental Physics</subject><subject>Environmental quality</subject><subject>Geostatistics</subject><subject>Heavy metals</subject><subject>Impaired water use</subject><subject>Industrial pollution</subject><subject>Industrialization</subject><subject>Lakes</subject><subject>Lead</subject><subject>Mercury</subject><subject>Mercury (metal)</subject><subject>Metal concentrations</subject><subject>Metals</subject><subject>Pollution</subject><subject>Pollution sources</subject><subject>Quality management</subject><subject>Sec 4 • Ecotoxicology • Research Article</subject><subject>Sewage</subject><subject>Soil</subject><subject>Soil pollution</subject><subject>Soil quality</subject><subject>Soil Science & Conservation</subject><subject>Soils</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Urban agriculture</subject><subject>Urbanization</subject><subject>Wastewater irrigation</subject><issn>1439-0108</issn><issn>1614-7480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1UMtOwzAQjBBIlMcHcLPElYAdJ7FzRBUvqQgOcLY26bp1SeJiu4h-An_NoiJxYi-7np0ZeSfLzgS_FJyrqyiErHXOhc4LqvxzL5uIWpS5KjXfp7mUDW25PsyOYlxxLhWtJ9nX46ZP7gOCg4QMxjlboI8JkovJddATBP02YmTesiXCx5YNmAhf-77fJOdHZoMf2NxZiwHHxKLfhI74MPhxwSyEoSfbyNzI0hLZs98C4TN4QxZwQQYXbLp0I5xkBxb6iKe__Th7vb15md7ns6e7h-n1LO9k1aS8AdFB1crKQs3n0rbKAheVbtu5bptKc1UrrRQX1kostaV30XJsal5rEGjlcXa-810H_77BmMyKfkxXRlOIWha6rBpFLLFjdcHHGNCadXADhK0R3PwkbnaJG0rc_CRuPklT7DSRuOMCw5_z_6JvfBSGwg</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Jiang, Yefeng</creator><creator>Guo, Xi</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7UA</scope><scope>7X2</scope><scope>7XB</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M0K</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope></search><sort><creationdate>20190501</creationdate><title>Multivariate and geostatistical analyses of heavy metal pollution from different sources among farmlands in the Poyang Lake region, China</title><author>Jiang, Yefeng ; Guo, Xi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-9a1ca5b35fa60d3fb7fa0158bbd8b958076787701ff3e48f0762b0e96068a1ef3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Agricultural land</topic><topic>Cadmium</topic><topic>Chromium</topic><topic>Earth and Environmental Science</topic><topic>Environment</topic><topic>Environmental management</topic><topic>Environmental Physics</topic><topic>Environmental quality</topic><topic>Geostatistics</topic><topic>Heavy metals</topic><topic>Impaired water use</topic><topic>Industrial pollution</topic><topic>Industrialization</topic><topic>Lakes</topic><topic>Lead</topic><topic>Mercury</topic><topic>Mercury (metal)</topic><topic>Metal concentrations</topic><topic>Metals</topic><topic>Pollution</topic><topic>Pollution sources</topic><topic>Quality management</topic><topic>Sec 4 • Ecotoxicology • Research Article</topic><topic>Sewage</topic><topic>Soil</topic><topic>Soil pollution</topic><topic>Soil quality</topic><topic>Soil Science & Conservation</topic><topic>Soils</topic><topic>Statistical analysis</topic><topic>Statistical methods</topic><topic>Urban agriculture</topic><topic>Urbanization</topic><topic>Wastewater irrigation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Yefeng</creatorcontrib><creatorcontrib>Guo, Xi</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Agricultural Science Database</collection><collection>Science Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Journal of soils and sediments</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Yefeng</au><au>Guo, Xi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multivariate and geostatistical analyses of heavy metal pollution from different sources among farmlands in the Poyang Lake region, China</atitle><jtitle>Journal of soils and sediments</jtitle><stitle>J Soils Sediments</stitle><date>2019-05-01</date><risdate>2019</risdate><volume>19</volume><issue>5</issue><spage>2472</spage><epage>2484</epage><pages>2472-2484</pages><issn>1439-0108</issn><eissn>1614-7480</eissn><abstract>Purpose
Intensive urbanization and industrialization activities have caused the continuous discharge of heavy metals into the soils of China’s Poyang Lake region, where they pose a major threat to human health. Yet, the spatial characteristics of these heavy metals in farmland soils and their pollution sources in this region remain unclear.
Materials and methods
We collected 115, 84, 26, and 987 farmland soil samples with heavy metal pollution from different sources (industrial and mining enterprises, sewage irrigation, urban, and general farming) in the Poyang Lake region, respectively.
Results and discussion
Descriptive statistics revealed that 1.1% of As, 7.3% of Cd, 0.3% of Pb, and 0.2% of Hg concentrations did surpass China’s Soil Environmental Quality Management Standard (GB 15618-2018). In addition, 32.8% of As, 74.4% of Cd, 89.2% of Pb, 45.0% of Cr, and 13.7% of Hg concentrations of soil samples exceeded the background soil concentrations of heavy metals in this region, notably Cd and Pb, whose maximum values were respectively 11.64- and 21.47-fold the background values. Compared with general farming areas, the other three pollution sources had significantly higher concentrations of As, Cd, Pb, Cr, or Hg in their soils. The results of principal component (PC) and geostatistical analyses showed that PC strongly related to mainly As and Cr was mainly influenced by natural characteristics while PC closely related to mainly Cd, Pb, and Hg was driven by mainly human activities in farmland soils from the four sources.
Conclusions
Factor loadings for the different sources showed As and Cr on the same PCs, and Cd, Pb, and Hg on the other PCs, confirming the association of the heavy metal pollution with its sources.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11368-018-2222-x</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural land Cadmium Chromium Earth and Environmental Science Environment Environmental management Environmental Physics Environmental quality Geostatistics Heavy metals Impaired water use Industrial pollution Industrialization Lakes Lead Mercury Mercury (metal) Metal concentrations Metals Pollution Pollution sources Quality management Sec 4 • Ecotoxicology • Research Article Sewage Soil Soil pollution Soil quality Soil Science & Conservation Soils Statistical analysis Statistical methods Urban agriculture Urbanization Wastewater irrigation |
title | Multivariate and geostatistical analyses of heavy metal pollution from different sources among farmlands in the Poyang Lake region, China |
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