Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
Core Journal of RCCSE
Included in JST China
Volume 40 Issue 1
Mar.  2022
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Article Contents
CUI Feijian, QIN Guangxiong, ZENG Hailong, HUANG Zhiwei, LI Wenjing, YANG Hanjie, HU Yanfang, FANG Huaiyang, ZENG Fantang, DU Hongwei. SPATIAL DISTRIBUTION CHARACTERISTICS AND POLLUTION ASSESSMENT OF NITROGEN, PHOSPHORUS AND HEAVY METAL IN SURFACE SEDIMENTS OF HEAVILY POLLUTED TRIBUTARIES OF SHAHE RIVER BASIN[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(1): 110-116. doi: 10.13205/j.hjgc.202201016
Citation: CUI Feijian, QIN Guangxiong, ZENG Hailong, HUANG Zhiwei, LI Wenjing, YANG Hanjie, HU Yanfang, FANG Huaiyang, ZENG Fantang, DU Hongwei. SPATIAL DISTRIBUTION CHARACTERISTICS AND POLLUTION ASSESSMENT OF NITROGEN, PHOSPHORUS AND HEAVY METAL IN SURFACE SEDIMENTS OF HEAVILY POLLUTED TRIBUTARIES OF SHAHE RIVER BASIN[J]. ENVIRONMENTAL ENGINEERING , 2022, 40(1): 110-116. doi: 10.13205/j.hjgc.202201016

SPATIAL DISTRIBUTION CHARACTERISTICS AND POLLUTION ASSESSMENT OF NITROGEN, PHOSPHORUS AND HEAVY METAL IN SURFACE SEDIMENTS OF HEAVILY POLLUTED TRIBUTARIES OF SHAHE RIVER BASIN

doi: 10.13205/j.hjgc.202201016
  • Received Date: 2020-09-09
    Available Online: 2022-03-30
  • Publish Date: 2022-03-30
  • In order to find out the risk distribution of nitrogen, phosphorus and heavy metals in the surface sediments of the heavily polluted tributaries in Shahe basin, a tributary of Dongjiang River, different risk assessment methods were used. The comprehensive pollution index analysis showed that TN risk levels of heavy pollution, moderate pollution, light pollution and clean accounted for 57.1%, 14.3%, 16.1% and 12.5%, respectively, while the TP risk levels of heavy pollution, moderate pollution, light pollution and clean level accounted for 62.5%, 10.7%, 21.4% and 5.4%, respectively. The average concentrations of Cr, Ni, Cu, Zn, Cd, Pb and Hg were 5.52, 7.43, 15.88, 6.70, 8.10, 1.34 and 1.12 times higher than the background values of heavy metals in Guangdong Province, respectively. Correlation analysis and principal component analysis suggested that Cr, Ni, Cu, Zn, Cd and Pb mainly came from papermaking and electroplating industries; Hg mainly came from battery or metal manufacturing industries; As did not exceed the standard, mainly came from pesticides and fertilizers; the geoaccumulation index showed that Cu, Ni and Cr were seriously polluted; the potential ecological hazard index showed that Cd and Cu were the main ecological hazard contributing factors. The results could provide decision support for water quality security of rivers as drinking water sources.
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