Water Quality Analyses in Sun-Moon Lake Reservoir using Statistical Methods and Continuously Automatic Monitoring System

碩士 === 大葉大學 === 環境工程學系碩士班 === 92 === The study analyzes hourly monitoring data samples of water quality in Sun-Moon Lake reservoir using statistical methods to investigate the characteristics of water quality for a pumped storage hydro power plant reservoir. The researchers have monitored 11 parame...

Full description

Bibliographic Details
Main Author: 林炤映
Other Authors: Chi-Wen Lin
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/63773751614149955524
id ndltd-TW-092DYU00515004
record_format oai_dc
spelling ndltd-TW-092DYU005150042016-01-04T04:09:13Z http://ndltd.ncl.edu.tw/handle/63773751614149955524 Water Quality Analyses in Sun-Moon Lake Reservoir using Statistical Methods and Continuously Automatic Monitoring System 以水質自動監測系統與統計方法分析日月潭水庫之水質變化趨勢 林炤映 碩士 大葉大學 環境工程學系碩士班 92 The study analyzes hourly monitoring data samples of water quality in Sun-Moon Lake reservoir using statistical methods to investigate the characteristics of water quality for a pumped storage hydro power plant reservoir. The researchers have monitored 11 parameters during one year including: temperature, salinity, conductivity, total dissolved solid, resistivity, dissolved oxygen, pH, ammonium, nitrate, transmissivity, and chlorophyll-a. Water samples were collected by two continuously automatic monitoring systems installed in Lalu Island and an outlet zone for drinking water supply in the reservoir. Initially a nonparametric procedure was used to examine the difference of water quality between day and night’s operation for hydro power generation. For detecting the possible intervention in the data a correlation analysis was conducted. Then, the 11 parameters were treated using factor analysis and cluster analysis to group the selected parameters according to common features. Finally, an autoregressive moving average (ARMA) model was applied to establish the relation of common factors and time, and the proposed model can be provided for future use in foresting the trends of water quality for temporal change. Of the 11 parameters, only the daily and nightly means of dissolved oxygen (DO) and pH were found significant difference. Factor analysis for the water quality data renders four factors for water quality investigated in Lalu Island and an outlet zone for drinking water supply in the reservoir, respectively. Results from Lalu Island investigation indicate four factors including “turbidity factor”, “nutrient factor”, “eutrophication factor”, and “pH factor”, accounting for 89.05% of total variance. Results from investigation on an outlet zone for drinking water supply in the reservoir indicate four factors including “turbidity factor”, “nutrient factor”, “eutrophication factor”, and “transmissivity factor”, accounting for 86.63% of total variance. Water quality data in twelve months were grouped into three categories by cluster analysis. Results indicate they are no seasonal and cyclic patterns for both in Lalu Island and an outlet zone for drinking water supply in the reservoir. This research also proposes eight best ARMA models. The models were recommended for forecasting of water quality parameters for Sun-Moon Lake reservoir. Chi-Wen Lin 林啟文 2004 學位論文 ; thesis 116 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 大葉大學 === 環境工程學系碩士班 === 92 === The study analyzes hourly monitoring data samples of water quality in Sun-Moon Lake reservoir using statistical methods to investigate the characteristics of water quality for a pumped storage hydro power plant reservoir. The researchers have monitored 11 parameters during one year including: temperature, salinity, conductivity, total dissolved solid, resistivity, dissolved oxygen, pH, ammonium, nitrate, transmissivity, and chlorophyll-a. Water samples were collected by two continuously automatic monitoring systems installed in Lalu Island and an outlet zone for drinking water supply in the reservoir. Initially a nonparametric procedure was used to examine the difference of water quality between day and night’s operation for hydro power generation. For detecting the possible intervention in the data a correlation analysis was conducted. Then, the 11 parameters were treated using factor analysis and cluster analysis to group the selected parameters according to common features. Finally, an autoregressive moving average (ARMA) model was applied to establish the relation of common factors and time, and the proposed model can be provided for future use in foresting the trends of water quality for temporal change. Of the 11 parameters, only the daily and nightly means of dissolved oxygen (DO) and pH were found significant difference. Factor analysis for the water quality data renders four factors for water quality investigated in Lalu Island and an outlet zone for drinking water supply in the reservoir, respectively. Results from Lalu Island investigation indicate four factors including “turbidity factor”, “nutrient factor”, “eutrophication factor”, and “pH factor”, accounting for 89.05% of total variance. Results from investigation on an outlet zone for drinking water supply in the reservoir indicate four factors including “turbidity factor”, “nutrient factor”, “eutrophication factor”, and “transmissivity factor”, accounting for 86.63% of total variance. Water quality data in twelve months were grouped into three categories by cluster analysis. Results indicate they are no seasonal and cyclic patterns for both in Lalu Island and an outlet zone for drinking water supply in the reservoir. This research also proposes eight best ARMA models. The models were recommended for forecasting of water quality parameters for Sun-Moon Lake reservoir.
author2 Chi-Wen Lin
author_facet Chi-Wen Lin
林炤映
author 林炤映
spellingShingle 林炤映
Water Quality Analyses in Sun-Moon Lake Reservoir using Statistical Methods and Continuously Automatic Monitoring System
author_sort 林炤映
title Water Quality Analyses in Sun-Moon Lake Reservoir using Statistical Methods and Continuously Automatic Monitoring System
title_short Water Quality Analyses in Sun-Moon Lake Reservoir using Statistical Methods and Continuously Automatic Monitoring System
title_full Water Quality Analyses in Sun-Moon Lake Reservoir using Statistical Methods and Continuously Automatic Monitoring System
title_fullStr Water Quality Analyses in Sun-Moon Lake Reservoir using Statistical Methods and Continuously Automatic Monitoring System
title_full_unstemmed Water Quality Analyses in Sun-Moon Lake Reservoir using Statistical Methods and Continuously Automatic Monitoring System
title_sort water quality analyses in sun-moon lake reservoir using statistical methods and continuously automatic monitoring system
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/63773751614149955524
work_keys_str_mv AT línzhàoyìng waterqualityanalysesinsunmoonlakereservoirusingstatisticalmethodsandcontinuouslyautomaticmonitoringsystem
AT línzhàoyìng yǐshuǐzhìzìdòngjiāncèxìtǒngyǔtǒngjìfāngfǎfēnxīrìyuètánshuǐkùzhīshuǐzhìbiànhuàqūshì
_version_ 1718159589513363456