Identification of High-Priority Tributaries for Water Quality Management in Nakdong River Using Neural Networks and Grade Classification

Identification of High-Priority Tributaries for Water Quality Management in Nakdong River Using Neural Networks and Grade Classification

To determine the high-priority tributaries that require water quality improvement in the Nakdong River, which is an important drinking water resource for southeastern Korea, data collected at 28 tributaries between 2013 and 2017 were analyzed. To analyze the water quality characteristics of the trib...

Full description

Bibliographic Details
Main Authors: Kang-Young Jung, Sohyun Cho, Seong-Yun Hwang, Yeongjae Lee, Kyunghyun Kim, Eun Hye Na
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sustainability
Subjects:
self-organizing maps
neural network model
grade classification
Nakdong river
tributary
management priority
Online Access:https://www.mdpi.com/2071-1050/12/21/9149

Internet

https://www.mdpi.com/2071-1050/12/21/9149

Similar Items