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使用自组织映射和模糊 C 均值聚类方法评估土耳其厄尔哲内河的水质等级。

Assessment of water quality classes using self-organizing map and fuzzy C-means clustering methods in Ergene River, Turkey.

机构信息

Marmara University, Istanbul, Turkey.

Boǵaziçi University, Istanbul, Turkey.

出版信息

Environ Monit Assess. 2020 Sep 14;192(10):638. doi: 10.1007/s10661-020-08560-3.

DOI:10.1007/s10661-020-08560-3
PMID:32924079
Abstract

Surface water is one of the primary sources for drinking, irrigation, and industrial activities in Ergene River, Turkey. However, its quality has deteriorated due to the point and non-point pollution sources. Therefore, an appropriate assessment of surface water quality is very important. Water quality classification is calculated separately for each quality parameter in Turkey. An overall assessment of surface water quality is essential for water management. In this study, self-organizing maps (SOMs) and fuzzy C-means clustering (FCM) methods have been used for assessing surface water quality in the Ergene River. Seven water quality parameters have been considered as important indicators to evaluate water quality status in 7 observation points located in the river, covering the period from 1985 to 2013.

摘要

地表水是土耳其厄尔哲内河(Ergene River)饮用水、灌溉和工业活动的主要来源之一。然而,由于点源和非点源污染,其水质已经恶化。因此,对地表水水质进行适当的评估非常重要。土耳其对水质分类是针对每个水质参数分别进行计算的。对地表水水质进行全面评估对于水资源管理至关重要。在本研究中,自组织映射图(SOMs)和模糊 C 均值聚类(FCM)方法已被用于评估厄尔哲内河的地表水水质。在该河流的 7 个观测点,考虑了 7 个水质参数作为重要指标,以评估 1985 年至 2013 年期间的水质状况。

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