Ensemble Model Development for the Prediction of a Disaster Index in Water Treatment Systems

Ensemble Model Development for the Prediction of a Disaster Index in Water Treatment Systems

The quantitative analysis of the disaster effect on water supply systems can provide useful information for water supply system management. In this study, a total disaster index (TDI) was developed using open-source public data in 419 water treatment plants in Korea with 23 input variables. The TDI...

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Bibliographic Details
Main Authors: Jungsu Park, Jae-Hyeoung Park, June-Seok Choi, Jin Chul Joo, Kihak Park, Hyeon Cheol Yoon, Cheol Young Park, Woo Hyoung Lee, Tae-Young Heo
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Water
Subjects:
disaster management
ensemble model
machine learning
water supply
water treatment system
Online Access:https://www.mdpi.com/2073-4441/12/11/3195

Internet

https://www.mdpi.com/2073-4441/12/11/3195

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