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基于3种富营养化评价方法的锦江河水质风险评估

张友 郭子栋 李干蓉 强小燕 田丹

安徽农业科学2024,Vol.52Issue(22):66-69,4.
安徽农业科学2024,Vol.52Issue(22):66-69,4.DOI:10.3969/j.issn.0517-6611.2024.22.012

基于3种富营养化评价方法的锦江河水质风险评估

Risk Assessment of Water Quality in Jinjiang River Based on Three Nutrient Enrichment Evaluation Methods

张友 1郭子栋 1李干蓉 1强小燕 1田丹1

作者信息

  • 1. 铜仁职业技术学院,贵州铜仁 554300
  • 折叠

摘要

Abstract

Taking Jinjiang River in Tongren City as an example,the physicochemical indicators of the water body were collected and analyzed.Three methods,Carlson's trophic state index(TSI),modified trophic state index(TSIM)and trophic level index(TLI),were used to evalu-ate the nutrient enrichment level in Jinjiang River water.Mathematical statistical analysis was used to examine differences between the different evaluation methods and the influence of environmental factors on them.The results showed that different evaluation methods lead to different re-sults in eutrophication assessment of water bodies.According to TSI,TSIM and TLI evaluation methods,the results of Jinjiang River water body were assessed as having oligotrophic,eutrophic and mesotrophic conditions,respectively.Single-factor analysis of variance showed that a significant difference between TSIM and TSI/TLI(P<0.05),while no significant difference was observed between TSI and TLI(P>0.05).Correlation analysis showed Chl-a was significantly positively correlated with TSI and TSIM(P<0.05),while TN and TP were significantly positively correlated with TLI(P<0.05).TSI and TSIM mainly characterized the growth status of algae,while TLI focused more on nitrogen and phosphorus levels.Overall,compared to TSI and TSIM methods,TLI adopted a weighted approach of multiple environmental factors,which could more scientifically reflect the eutrophication status of water bodies.

关键词

富营养化/评价方法/水质/风险评估/锦江河

Key words

Eutrophication/Evaluation method/Water quality/Risk assessment/Jinjiang River

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引用本文复制引用

张友,郭子栋,李干蓉,强小燕,田丹..基于3种富营养化评价方法的锦江河水质风险评估[J].安徽农业科学,2024,52(22):66-69,4.

基金项目

铜仁职业技术学院人文社会科学资助项目(TZKY2018-SK10). (TZKY2018-SK10)

安徽农业科学

0517-6611

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