Suppr超能文献

利用小龙虾(克氏原螯虾)评估西班牙多尼亚纳国家公园的金属污染情况。

Assessment of metal contamination in Doñana National Park (Spain) using crayfish (Procamburus clarkii).

作者信息

Sánchez López F J, Gil García M D, Martínez Vidal Jose L, Aguilera P A, Garrido Frenich A

机构信息

Department of Hydrogeology and Analytical Chemistry, University of Almería, Almería, Spain.

出版信息

Environ Monit Assess. 2004 Apr-May;93(1-3):17-29. doi: 10.1023/b:emas.0000016789.13603.e5.

Abstract

Water quality assessment in the Aznalcollar area was attempted using multivariate methods based on heavy metal concentrations in red swamp crayfish (Procamburus clarkii). Trace levels of four heavy metals, copper (Cu), zinc (Zn), cadmium (Cd) and lead (Pb), were detected in crayfish from eleven different stations. Principal component analysis (PCA) highlighted a gradient of contamination between the sampling stations. Cluster analysis (CA) distinguished three groups of stations. Discriminant analysis also differentiated three groups. The group centroids of the first discriminant function were used to devise an index that varies according to the source of the crayfish. These standardized values are proposed for use as a water quality index. The ability of this index to successfully predict environmental quality was proved with random samples.

摘要

尝试采用基于红沼泽螯虾(克氏原螯虾)重金属浓度的多变量方法,对阿兹纳科莱尔地区的水质进行评估。在来自11个不同站点的螯虾中检测到了四种重金属(铜(Cu)、锌(Zn)、镉(Cd)和铅(Pb))的痕量水平。主成分分析(PCA)突出了采样站点之间的污染梯度。聚类分析(CA)区分出三组站点。判别分析也区分出三组。利用第一判别函数的组质心设计了一个根据螯虾来源而变化的指数。建议将这些标准化值用作水质指数。通过随机样本证明了该指数成功预测环境质量的能力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验