The European Water Framework Directive 2000/60/EC in the evaluation of the ecological status of watercourses. Case study: the river Chienti (central Apennines, Italy)

S. Scuri, M. Torrisi, M. Cocchioni, A. Dell'uomo
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引用次数: 19

Abstract

The quality of the river Chienti (eastern-central Apennines, Italy) has been evaluated according to the Water Framework Directive 2000/60/EC, taking into consideration both biotic (animal and vegetable) and chemical parameters. In studying the biotic component, two indices were used: the E.B.I, Extended Biotic Index (version adapted to the Italian rivers), based on macroinvertebrates, and the EPI-D, the Eutrophication and/or Pollution Index, based on diatoms. For both macroinvertebrates and diatoms, two samplings were conducted, one in June and the other in October 2003. Instead, according to the Italian Law 152/99 the chemical and bacteriological analyses were conducted monthly for the entire year. The results of biomonitoring and chemical-bacteriological analyses unanimously demonstrated a good ecological situation for the upper section of the Chienti, though the situation tends to worsen as the river continues its descent and undergoes increased anthropogenic pressure. Data obtained were correlated with Spearman's coefficients and principal component analysis. Both statistical calculations showed clear, direct correlation between the two biotic indices and an inverse correlation between these and the chemical and bacteriological parameters. However, a few differences of judgement that emerged among the various indices highlight the importance of using them simultaneously in order to obtain a more accurate diagnosis of the ecological status of the watercourses.
欧洲水框架指令2000/60/EC对水道生态状况的评价。案例研究:基恩蒂河(意大利亚平宁山脉中部)
Chienti河(意大利亚平宁山脉中东部)的水质已根据水框架指令2000/60/EC进行了评估,同时考虑了生物(动物和植物)和化学参数。在研究生物成分时,使用了两个指数:e.b.i.,扩展生物指数(适用于意大利河流的版本),以大型无脊椎动物为基础,EPI-D,富营养化和/或污染指数,以硅藻为基础。对于大型无脊椎动物和硅藻,分别在2003年6月和10月进行了两次采样。相反,根据意大利第152/99号法律,全年每月进行化学和细菌分析。生物监测和化学细菌学分析结果一致表明,基恩蒂河上游生态状况良好,但随着河流继续下降和人类活动压力的增加,生态状况趋于恶化。所得数据与Spearman系数和主成分分析相关。两种统计计算均表明,这两种生物指标之间存在明显的直接相关关系,而它们与化学和细菌学参数之间存在负相关关系。然而,在各种指数之间出现的一些判断差异突出了同时使用它们的重要性,以便更准确地诊断水道的生态状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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