The correlation analysis of taiwan's main water treatment plants between upstream of the water turbidity and hydrological characteristics

Chung Sheng Liao, Chia Ling Chang, Shang Lien Lo, Ching Yao Hu, Jia Lin Ma

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Water resource management is more and more important in 21st Century. Global climate change increases the occurring frequency of extreme weather events. Typhoon frequently attacks Taiwan in recent years. Heavy rainstorm can cause landslides and debris flows, which threaten the local environment and citizens' lives. High turbidity water would impact water treatment plants and increase the uncertainty of water supply. This study applies Back-Propagation Network (BPN) model to assess the relationship between hydrologic properties in upstream watershed and the turbidity of raw water in three major water treatment plants in Taiwan. The result shows that rainfall property is highly related to turbidity of raw water in Ban-Xin water treatment plant. Early prediction systems of turbidity can be established according to the results of relationship analysis.

Original languageEnglish
Pages (from-to)78-86
Number of pages9
JournalJournal of Taiwan Agricultural Engineering
Volume57
Issue number2
Publication statusPublished - Jun 2011
Externally publishedYes

Fingerprint

Water treatment plants
Water Purification
Turbidity
water treatment
Taiwan
turbidity
Water
Landslides
Water Resources
Cyclonic Storms
Water Supply
water
Climate Change
Weather
Uncertainty
landslides
Watersheds
Water resources
Backpropagation
Water supply

Keywords

  • Artificial Neural Network
  • Back-Propagation Network (BPN)
  • Hydrologic environment
  • Turbidity

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Engineering(all)

Cite this

The correlation analysis of taiwan's main water treatment plants between upstream of the water turbidity and hydrological characteristics. / Liao, Chung Sheng; Chang, Chia Ling; Lo, Shang Lien; Hu, Ching Yao; Ma, Jia Lin.

In: Journal of Taiwan Agricultural Engineering, Vol. 57, No. 2, 06.2011, p. 78-86.

Research output: Contribution to journalArticle

@article{3ca126618fac42a791239b44dd88a28e,
title = "The correlation analysis of taiwan's main water treatment plants between upstream of the water turbidity and hydrological characteristics",
abstract = "Water resource management is more and more important in 21st Century. Global climate change increases the occurring frequency of extreme weather events. Typhoon frequently attacks Taiwan in recent years. Heavy rainstorm can cause landslides and debris flows, which threaten the local environment and citizens' lives. High turbidity water would impact water treatment plants and increase the uncertainty of water supply. This study applies Back-Propagation Network (BPN) model to assess the relationship between hydrologic properties in upstream watershed and the turbidity of raw water in three major water treatment plants in Taiwan. The result shows that rainfall property is highly related to turbidity of raw water in Ban-Xin water treatment plant. Early prediction systems of turbidity can be established according to the results of relationship analysis.",
keywords = "Artificial Neural Network, Back-Propagation Network (BPN), Hydrologic environment, Turbidity",
author = "Liao, {Chung Sheng} and Chang, {Chia Ling} and Lo, {Shang Lien} and Hu, {Ching Yao} and Ma, {Jia Lin}",
year = "2011",
month = "6",
language = "English",
volume = "57",
pages = "78--86",
journal = "Journal of Taiwan Agricultural Engineering",
issn = "0257-5744",
publisher = "Chinese Society of Agricultural Engineering",
number = "2",

}

TY - JOUR

T1 - The correlation analysis of taiwan's main water treatment plants between upstream of the water turbidity and hydrological characteristics

AU - Liao, Chung Sheng

AU - Chang, Chia Ling

AU - Lo, Shang Lien

AU - Hu, Ching Yao

AU - Ma, Jia Lin

PY - 2011/6

Y1 - 2011/6

N2 - Water resource management is more and more important in 21st Century. Global climate change increases the occurring frequency of extreme weather events. Typhoon frequently attacks Taiwan in recent years. Heavy rainstorm can cause landslides and debris flows, which threaten the local environment and citizens' lives. High turbidity water would impact water treatment plants and increase the uncertainty of water supply. This study applies Back-Propagation Network (BPN) model to assess the relationship between hydrologic properties in upstream watershed and the turbidity of raw water in three major water treatment plants in Taiwan. The result shows that rainfall property is highly related to turbidity of raw water in Ban-Xin water treatment plant. Early prediction systems of turbidity can be established according to the results of relationship analysis.

AB - Water resource management is more and more important in 21st Century. Global climate change increases the occurring frequency of extreme weather events. Typhoon frequently attacks Taiwan in recent years. Heavy rainstorm can cause landslides and debris flows, which threaten the local environment and citizens' lives. High turbidity water would impact water treatment plants and increase the uncertainty of water supply. This study applies Back-Propagation Network (BPN) model to assess the relationship between hydrologic properties in upstream watershed and the turbidity of raw water in three major water treatment plants in Taiwan. The result shows that rainfall property is highly related to turbidity of raw water in Ban-Xin water treatment plant. Early prediction systems of turbidity can be established according to the results of relationship analysis.

KW - Artificial Neural Network

KW - Back-Propagation Network (BPN)

KW - Hydrologic environment

KW - Turbidity

UR - http://www.scopus.com/inward/record.url?scp=79957555356&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79957555356&partnerID=8YFLogxK

M3 - Article

VL - 57

SP - 78

EP - 86

JO - Journal of Taiwan Agricultural Engineering

JF - Journal of Taiwan Agricultural Engineering

SN - 0257-5744

IS - 2

ER -