A novel SON2-based similarity index and its application for the rationalization of river water quality monitoring network

Abstract

In this paper, a novel self-organizing network (SON) based similarity index and its application for the optimization of sampling locations in an existing river water quality monitoring network (WQMN) is presented. A rationalization of the River Danube WQMN on its stretch through Serbia was performed using the proposed SON2-based similarity index. A high-dimensional dataset was used, which is composed of 18 water quality parameters that were collected during the period 2002-2010 at 17 monitoring locations. The SON-based seasonal classification that divides 12months into the cold, moderate, and warm seasons was employed, whereas its second application on each seasonal class yielded subclasses that were used to compare the monitoring locations. The obtained SON2-based similarity index can be utilized for analysing seasonal variations, as well as overall similarities among neighbouring sites. Based on the calculated similarities of locations and characteristics of the River Danube basin a rationalized WQMN, which uses 30% less monitoring sites, has been proposed.