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contributor authorJaeyun Kim
contributor authorJinwon Kim
contributor authorYongdeok Cho
date accessioned2017-05-08T22:11:27Z
date available2017-05-08T22:11:27Z
date copyrightFebruary 2015
date issued2015
identifier other38714066.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/73145
description abstractMultilinear statistical techniques were used to establish a predictive model for chlorophyll-a concentration in Daechung reservoir, Korea. By relating water quality, weather data, and various hydrological parameters to the chlorophyll-a concentration, a correlation was able to be established between them.
publisherAmerican Society of Civil Engineers
titleEstablishing a Predictive Model for Chlorophyll-A Concentration in Lake Daechung, Korea Using Multilinear Statistical Techniques
typeJournal Paper
journal volume141
journal issue2
journal titleJournal of Environmental Engineering
identifier doi10.1061/(ASCE)EE.1943-7870.0000883
treeJournal of Environmental Engineering:;2015:;Volume ( 141 ):;issue: 002
contenttypeFulltext


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