Liou Shiow-Mey, Lo Shang-Lien, Wang Shan-Hsien
Graduate Institute of Environmental Engineering, National Taiwan University, Taipei, Taiwan.
Environ Monit Assess. 2004 Aug-Sep;96(1-3):35-52. doi: 10.1023/b:emas.0000031715.83752.a1.
By exploring the behavior and limitations of conventional methods for quality evaluation, a better overall index for water quality in Taiwan and its application in Keya River are proposed. The thirteen variables are employed for the quality assessment. Numerical scales relating to the degree of quality are established for each variable to assess variations in quality and to convey findings in a comprehensive manner to others. The employed variables are categorized into three aspects referred to the principal components analysis, which are 'organics', 'particulates' and 'microorganisms'. The overall index consists of the geometric mean for the three defined aspects and multiplying by three coefficients, which reflect quality degrees of temperature, pH and toxicity, respectively. Besides, the arithmetic mean is addressed among the variables associated in the same aspect. Finally, a fresh, mixed aggregation function is developed for ensuring that the index score tells us something useful and does not hide important information. A case study of the Keya River is made to illustrate the application of this new index system. The new proposed index provides comprehensive information for water quality assessment, than the existing index used in Taiwan does.
通过探究传统水质评价方法的行为和局限性，提出了一个更适用于台湾水质的综合指标及其在柯雅河的应用。采用13个变量进行水质评估。为每个变量建立了与水质程度相关的数值尺度，以评估水质变化并以全面的方式向他人传达结果。所采用的变量根据主成分分析分为三个方面，即“有机物”、“颗粒物”和“微生物”。综合指标由三个定义方面的几何平均值乘以三个系数组成，这三个系数分别反映温度、pH值和毒性的质量程度。此外，在同一方面相关的变量之间采用算术平均值。最后，开发了一种新的混合聚合函数，以确保指标得分能为我们提供有用信息且不隐藏重要信息。以柯雅河为例说明了这种新指标体系的应用。新提出的指标比台湾现用指标能为水质评估提供更全面的信息。
