Related Experiment Video
Updated: Dec 9, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Assessment of water quality classes using self-organizing map and fuzzy C-means clustering methods in Ergene River,
Ersin Orak1, Atilla Akkoyunlu2, Zehra Semra Can3
1Marmara University, Istanbul, Turkey. ersinorak@comu.edu.tr.
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.
Related Concept Videos
Quality of Water
Testing Water Quality
Design Example: Analyzing Capacity Contours for Flood Risk Assessment

