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River Water Quality Zoning: A Case Study of Karoon and Dez River System

Author(s): M Karamouz, N Mahjouri, R Kerachian

Journal: Iranian Journal of Environmental Health Science & Engineering
ISSN 1735-1979

Volume: 1;
Issue: 2;
Start page: 66;
Date: 2004;
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Keywords: Fuzzy Clustering | Data classification | Water quality zoning | River systems | Karoon | Dez

Karoon-Dez River basin, with an area of 67000 square kilometers, is located in southern part of Iran. This river system supplies the water demands of 16 cities, several villages, thousands hectares of agricultural lands, and several hydropower plants. The increasing water demands at the project development stage including agricultural networks, fish hatchery projects, and inter-basin water transfers, have caused a gloomy future for water quality of the Karoon and Dez Rivers. A good part of used agricultural water, which is about 8040 million cubic meters, is returned to the rivers through agricultural drainage systems or as non-point, return flows. River water quality zoning could provide essential information for developing river water quality management policies. In this paper, a methodology is presented for this purpose using methods of -mean crisp classification and a fuzzy clustering scheme. The efficiency of these clustering methods was evaluated using water quality data gathered from the monitoring sampling points along Karoon and Dez Rivers. The results show that the proposed methodology can provide valuable information to support decision-making and to help river water quality management in the region.

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