Quality evaluation of subsidiary water resource ofChia-Nan Irrigation Association Case study on the area of the Xin-hua Reginal office

碩士 === 立德管理學院 === 資源環境研究所 === 94 === ABSTRACTS The Wu-Shan-Tou reservoir is the main water resources for the irrigation areas of the Chianan Irrigation Association. However, in some farm areas which either are located at high elevation or water is difficult to be delivered to, the irrigation water...

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Main Authors: Shu-Yuan Wu, 吳淑媛
Other Authors: none
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/05856542651756306634
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spelling ndltd-TW-094LU0057590272016-05-18T04:12:33Z http://ndltd.ncl.edu.tw/handle/05856542651756306634 Quality evaluation of subsidiary water resource ofChia-Nan Irrigation Association Case study on the area of the Xin-hua Reginal office 嘉南農田水利會補助水源水質評估以新化區管理處灌區為例 Shu-Yuan Wu 吳淑媛 碩士 立德管理學院 資源環境研究所 94 ABSTRACTS The Wu-Shan-Tou reservoir is the main water resources for the irrigation areas of the Chianan Irrigation Association. However, in some farm areas which either are located at high elevation or water is difficult to be delivered to, the irrigation water has to be drawn from ponds and drainage canals which collect the return water from the upstream irrigated areas as a subsidized water during water-shortage. For the maintenance and management of water quality as well as pollution prevention, the Association has set up a monitoring head-quarter and subordinated points at local workstation, and has also established quality check points at canal systems to check at all times. This study was conducted during the period from Jan. 2000 to Dec. 2005. Water samplings were taken at every supplemental pump station every 2 days by the staff from the Association to check its temperature, PH, and EC, and were later send to the laboratory in Kao-hsiung Association for the detailed check of SS, Na, Ca, Mg, SO4-2, Cl-, NH4+- N, and SAR, etc. The SPSS software is used in the statistical analysis, in which the Principal Component Analysis as well as linear Regression Analysis of Multivariate analyses were adopted to find the differences among the data in time series. The first three pieces of eigenvalue with characteristic values were set as the standard, and the principal components were determined by the standard with characteristic value greater than 1. The first principal component is composed by EC value and other dissolving factors mainly, and is called “the dissolving pollution factor” which counted for 43.387 % of the variation. The second principal component is composed mainly by SS and NH4+- N, and is called ‘people influence factor for pollution’ which counted for 16.694 % of variation. The third principal component is composed by temperature, SS, and SO4-2 mainly, and is called the “climate factor” which counted for 9.237 % with variation of the source of water. The former three pieces of principal components can explain the variation degree up to 69.318 % of total variance. Furthermore, the water quality factor, such as temperature, pH, or EC, was set as an independent variable at check points, and the influence factor SAR is regarded as dependent variable to evaluated the relationship with linear regression and multivariate linear regression analysis methods. With the regression relationship, the SAR is estimated from the basic water quality factors, and is classified into an emergency rule of the irrigation water quality immediately to make decision whether to pump water for irrigation, or to send the water sample to the laboratory in Kao-hsiung Association for detailed inspection. none 李源泉 2006 學位論文 ; thesis 91 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 立德管理學院 === 資源環境研究所 === 94 === ABSTRACTS The Wu-Shan-Tou reservoir is the main water resources for the irrigation areas of the Chianan Irrigation Association. However, in some farm areas which either are located at high elevation or water is difficult to be delivered to, the irrigation water has to be drawn from ponds and drainage canals which collect the return water from the upstream irrigated areas as a subsidized water during water-shortage. For the maintenance and management of water quality as well as pollution prevention, the Association has set up a monitoring head-quarter and subordinated points at local workstation, and has also established quality check points at canal systems to check at all times. This study was conducted during the period from Jan. 2000 to Dec. 2005. Water samplings were taken at every supplemental pump station every 2 days by the staff from the Association to check its temperature, PH, and EC, and were later send to the laboratory in Kao-hsiung Association for the detailed check of SS, Na, Ca, Mg, SO4-2, Cl-, NH4+- N, and SAR, etc. The SPSS software is used in the statistical analysis, in which the Principal Component Analysis as well as linear Regression Analysis of Multivariate analyses were adopted to find the differences among the data in time series. The first three pieces of eigenvalue with characteristic values were set as the standard, and the principal components were determined by the standard with characteristic value greater than 1. The first principal component is composed by EC value and other dissolving factors mainly, and is called “the dissolving pollution factor” which counted for 43.387 % of the variation. The second principal component is composed mainly by SS and NH4+- N, and is called ‘people influence factor for pollution’ which counted for 16.694 % of variation. The third principal component is composed by temperature, SS, and SO4-2 mainly, and is called the “climate factor” which counted for 9.237 % with variation of the source of water. The former three pieces of principal components can explain the variation degree up to 69.318 % of total variance. Furthermore, the water quality factor, such as temperature, pH, or EC, was set as an independent variable at check points, and the influence factor SAR is regarded as dependent variable to evaluated the relationship with linear regression and multivariate linear regression analysis methods. With the regression relationship, the SAR is estimated from the basic water quality factors, and is classified into an emergency rule of the irrigation water quality immediately to make decision whether to pump water for irrigation, or to send the water sample to the laboratory in Kao-hsiung Association for detailed inspection.
author2 none
author_facet none
Shu-Yuan Wu
吳淑媛
author Shu-Yuan Wu
吳淑媛
spellingShingle Shu-Yuan Wu
吳淑媛
Quality evaluation of subsidiary water resource ofChia-Nan Irrigation Association Case study on the area of the Xin-hua Reginal office
author_sort Shu-Yuan Wu
title Quality evaluation of subsidiary water resource ofChia-Nan Irrigation Association Case study on the area of the Xin-hua Reginal office
title_short Quality evaluation of subsidiary water resource ofChia-Nan Irrigation Association Case study on the area of the Xin-hua Reginal office
title_full Quality evaluation of subsidiary water resource ofChia-Nan Irrigation Association Case study on the area of the Xin-hua Reginal office
title_fullStr Quality evaluation of subsidiary water resource ofChia-Nan Irrigation Association Case study on the area of the Xin-hua Reginal office
title_full_unstemmed Quality evaluation of subsidiary water resource ofChia-Nan Irrigation Association Case study on the area of the Xin-hua Reginal office
title_sort quality evaluation of subsidiary water resource ofchia-nan irrigation association case study on the area of the xin-hua reginal office
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/05856542651756306634
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