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...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-03-01
|
Series: | Water |
Subjects: | |
Online Access: | http://www.mdpi.com/2073-4441/10/4/391 |