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基于大型底栖无脊椎动物群落的上海市河道水质生物学评价 被引量:6

Evaluation on River Water Quality Based on the River Substrate Macro-invertebrate in Shanghai,China
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摘要 2011年夏秋季,在上海市全境83个河道断面开展了大型底栖无脊椎动物采样,共获取底栖动物20个分类单位(种)。9个极严重污染断面未采集到活体大型底栖生物,生境基本丧失。其余74个有活体生物断面,采用三种常用生物指数:Shannon-Wiener多样性指数、Hilsenhoff耐污指数、Goodnight修正指数分别进行计算及评价。Shannon-Wiener多样性指数判别为25个严重污染和49个重污染断面;Hilsenhoff耐污指数划分38个重污染、5个中污染和31个轻污染断面;Goodnight修正指数划分33个重污染、2个中污染和39个轻污染断面。与典型河道断面的水质理化指标监测值进行对照,Shannon-Weiner多样性指数对河道水质评价的准确度较低,Hilsenhoff生物指数和Goodnight修正指数的水质评价效率及准确度均较高,断面污染等级与水质理化指标基本对应。 The macro-invertebrate assemblages of river substratc were investigated at 83 sites in Shanghai city in summer and autumn 2011. A total of 20 taxa of the macro-invertebrate were collected, including 10 of Mollusca, 6 of Arthropoda and 4 of Annelida. No any living macro-invertebrates were detected from samples collected at 9 sites which were heavily polluted and no suitable habitat available. The water quality at the rest 74 sites with living macro-invertebrate was evaluated by Shannon-Wiener index, Hilsenhoff Biotic Index (HBI) and Goodnight Biotic Index (GBI). Based on Shannon-Wiener Index, the water quality was critically polluted at 25 sites and heavily polluted at 49 sites. The water quality was heavily polluted at 38 sites, moderately at 5 sites and slightly at 31 sites, by the value of Hilsenhoff Biotic Index (HBI). Evaluating on water quality by Goodnight Biotic Index (GBI) , the river water was severely polluted at 33, moderately at 2 sites, and lightly at 39 sites. In contrast with the data of historical physicochemical water quality indicators in last 3 years, Shannon-Wiener Index had low efficiency and accuracy, while Hilsenhoff Biotic Index and Goodnight Biotic Index had much higher accuracy in spatial consistency between physicochemical assessment and biological evaluation.
出处 《动物学杂志》 CAS CSCD 北大核心 2013年第2期220-231,共12页 Chinese Journal of Zoology
基金 上海市环境保护局青年专项基金项目(沪环科2011-04)
关键词 大型底栖无脊椎动物 生物学评价 水质 河道 上海 Benthic macroinvertebrate Biological evaluation Water quality River Shanghai
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