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大鹏湾及邻近河川流域扩散性底泥污染之整体港湾管理。

Integrated estuary management for diffused sediment pollution in Dapeng Bay and neighboring rivers (Taiwan).

机构信息

Department of Environmental Resources Management, Tajen University, Pingtung, Taiwan, 90703, Republic of China.

出版信息

Environ Monit Assess. 2011 Feb;173(1-4):499-517. doi: 10.1007/s10661-010-1401-z. Epub 2010 Mar 2.

Abstract

This work investigated sediment samples collected from Dapeng Bay and three neighboring rivers (Kaoping River, Tungkang River, and Lingbeng River) in southwestern Taiwan, Republic of China. Multivariate statistical analysis techniques, i.e., factor analysis, cluster analysis, and canonical discriminant analysis were used for the evaluation of spatial variations to determine the types of pollution and to identify pollutant sources from neighboring rivers. Factor analysis results showed that the most important latent factors in Dapeng Bay are soil texture, heavy metals, organic matter, and nutrients factors. Contour maps incorporating the factor scores showed heavy metals accumulate along the lakesides, especially on the southeastern banks of the lakes. A cluster analysis was performed using factor scores computed from these latent factors. We then classified these areas into five distinct classes using sampling stations, and we illustrate that in the three river classes, the sediment properties are influenced by industrial and domestic wastewater and agricultural activities (including livestock rearing and farm activities). However, in Dapeng Bay, the rivers were influenced more by complicated biogeochemical processes; these could be identified as a type of pollution. Canonical discriminant analysis illustrated that two constructed discriminant functions made a marked contribution to most of the discriminant variables, and the significant parameters of porosity and Cd, Cr, Al, and Pb content were combined as the "heavy metal factor". The recognition capacities of the two discriminant functions were 82.6% and 17.4%, respectively. It is also likely that the annual mean of the water exchange rate is insufficient (taking about 7 days to eliminate pollutants) and therefore has significantly influenced the carbon and nutrient biogeochemical processes and budgets in the semi-enclosed ecosystem. Thus, the sediment properties are not similar between the lagoon and the neighboring rivers. Our results yield useful information concerning estuary recovery and water resources management and may be applicable to other basins with similar characteristics that are experiencing similar coastal environmental issues.

摘要

本研究调查了中国台湾省西南部大鹏湾和三条邻近河流(高屏溪、湳港溪和林边溪)的沉积物样本。采用多元统计分析技术,如因子分析、聚类分析和典型判别分析,对空间变化进行评估,以确定污染类型,并识别来自邻近河流的污染源。因子分析结果表明,大鹏湾最重要的潜在因子是土壤质地、重金属、有机物和养分因子。纳入因子得分的等值线图显示,重金属沿湖岸积聚,特别是在湖的东南岸。使用这些潜在因子计算的因子得分进行聚类分析。然后,我们使用采样站将这些区域分为五个不同的类别,并说明在三个河流类别中,沉积物性质受工业和生活污水以及农业活动(包括畜牧业和农场活动)的影响。然而,在大鹏湾,河流受到更复杂的生物地球化学过程的影响;这些可以被识别为一种污染。典型判别分析表明,两个构造的判别函数对大多数判别变量做出了显著贡献,而孔隙率和 Cd、Cr、Al 和 Pb 含量的显著参数被组合为“重金属因子”。两个判别函数的识别能力分别为 82.6%和 17.4%。每年的平均水交换率也可能不足(大约需要 7 天才能消除污染物),因此对半封闭生态系统中的碳和营养生物地球化学过程和预算有显著影响。因此,泻湖和邻近河流的沉积物性质并不相似。我们的研究结果提供了有关河口恢复和水资源管理的有用信息,可能适用于其他具有类似特征并面临类似沿海环境问题的流域。

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