Identification of a Contaminant Source Location in a River System Using Random Forest Models

We consider the problem of identifying the source location of a contaminant via analyzing changes in concentration levels observed by a sensor network in a river system. To address this problem, we propose a framework including two main steps: (i) pre-processing data; and (ii) training and testing a...

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Bibliographic Details
Main Authors: Yoo Jin Lee, Chuljin Park, Mi Lim Lee
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/10/4/391