Multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand

The objective of this study is to estimate Chloride of the groundwater in Chanthaburi, Thailand using multiple regression analysis. The multiple linear regression equation proposed in this study related to Chloride, Total dissolved solids, Iron, Nitrate and Total hardness data which are obtained fro...

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Main Authors: Jatupat Mekparyup, Kidakan Saithanu, Preeyarat Naksuwan, Mattika Hongboonme, Thaned Rojsiraphisal
Format: Journal
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/52743
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-527432018-09-04T09:31:21Z Multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand Jatupat Mekparyup Kidakan Saithanu Preeyarat Naksuwan Mattika Hongboonme Thaned Rojsiraphisal Mathematics The objective of this study is to estimate Chloride of the groundwater in Chanthaburi, Thailand using multiple regression analysis. The multiple linear regression equation proposed in this study related to Chloride, Total dissolved solids, Iron, Nitrate and Total hardness data which are obtained from the Department of Groundwater Resources, Thailand. Results shows that the best fitted equation to estimate Chloride (y) of the groundwater in Chanthaburi relates to To al dissolved solids (x1) and Total hardness (x4). It can be estimated by \log(y) = 1.22026 + 0.0050531x1 - 0.0019421x4 with adjusted coefficient of determination 0.607 and standard error of estimation 0.717. © 2013 Academic Publications, Ltd. 2018-09-04T09:31:21Z 2018-09-04T09:31:21Z 2013-10-10 Journal 13143395 13118080 2-s2.0-84885053855 10.12732/ijpam.v87i3.8 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84885053855&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/52743
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
Jatupat Mekparyup
Kidakan Saithanu
Preeyarat Naksuwan
Mattika Hongboonme
Thaned Rojsiraphisal
Multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand
description The objective of this study is to estimate Chloride of the groundwater in Chanthaburi, Thailand using multiple regression analysis. The multiple linear regression equation proposed in this study related to Chloride, Total dissolved solids, Iron, Nitrate and Total hardness data which are obtained from the Department of Groundwater Resources, Thailand. Results shows that the best fitted equation to estimate Chloride (y) of the groundwater in Chanthaburi relates to To al dissolved solids (x1) and Total hardness (x4). It can be estimated by \log(y) = 1.22026 + 0.0050531x1 - 0.0019421x4 with adjusted coefficient of determination 0.607 and standard error of estimation 0.717. © 2013 Academic Publications, Ltd.
format Journal
author Jatupat Mekparyup
Kidakan Saithanu
Preeyarat Naksuwan
Mattika Hongboonme
Thaned Rojsiraphisal
author_facet Jatupat Mekparyup
Kidakan Saithanu
Preeyarat Naksuwan
Mattika Hongboonme
Thaned Rojsiraphisal
author_sort Jatupat Mekparyup
title Multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand
title_short Multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand
title_full Multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand
title_fullStr Multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand
title_full_unstemmed Multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand
title_sort multiple linear regression equation for chloride estimation of the groundwater for chanthaburi, thailand
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84885053855&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/52743
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