Quantitative Evaluation of Seasonal Fluctuations in Water Quality in Eutrophic Reservoirs using Self-Organizing Maps - Collections | Kyushu University Library

＜departmental bulletin paper＞
Quantitative Evaluation of Seasonal Fluctuations in Water Quality in Eutrophic Reservoirs using Self-Organizing Maps

Creator	Author PID L004313 Creator Name 増野, 希陸 Masuno, Kiroku Affiliation Affiliation Name 九州大学大学院生物資源環境科学府環境農学専攻生産環境科学教育コース水環境学研究分野 Laboratory of Water Environment Engineering, Course of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University
	Author PID K002875 Creator Name 原田, 昌佳 Harada, Masayoshi Affiliation Affiliation Name 九州大学大学院生物資源環境科学府環境農学専攻生産環境科学教育コース水環境学研究分野 Laboratory of Water Environment Engineering, Course of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University
	Author PID K001582 Creator Name 平松, 和昭 Hiramatsu, Kazuaki Affiliation Affiliation Name 九州大学大学院生物資源環境科学府環境農学専攻生産環境科学教育コース水環境学研究分野 Laboratory of Water Environment Engineering, Course of Bioproduction Environmental Sciences, Department of Agro-environmental Sciences, Graduate School of Bioresource and Bioenvironmental Sciences, Kyushu University
	Author PID K003070 Creator Name 丸居, 篤 Marui, Atsushi Affiliation Affiliation Name 九州大学新キャンパス計画推進室 New Campus Planning Office, Kyushu University
Language	Japanese
Publisher	九州大学大学院農学研究院
Publisher	Faculty of Agriculture, Kyushu University
Date	2012-02-29
Source Title	Science bulletin of the Faculty of Agriculture, Kyushu University
Vol	67
Issue	1
First Page	25
Last Page	33
Publication Type	Version of Record
Access Rights	open access
JaLC DOI	https://doi.org/10.15017/22028

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PISSN	1347-0159
NCID	AA11577672
Record ID	22028
Peer-Reviewed	Unrefereed
Subject Terms	富栄養化
	自己組織化マップ
	水環境解析
	藻類
	特徴抽出
	Algae
	Eutrophication
	Feature extraction
	Self-organizing maps
	Water environmental analysis
Notes	In this study, a method for analyzing water environment was proposed as a means of environmental assessment for contributing to the preservation and improvement of eutrophic reservoirs in rural areas from the viewpoint of data mining. Thus, water environmental characteristics were determined by periodically observing water quality factors related to eutrophication, such as chlorophyll-a concentration and measuring the levels of algal classes by clustering a database with a self-organizing map (SOM). As a result, datasets containing water temperature, chlorophyll-a from green algae and blue-green algae, total organic carbon, total nitrogen, and total phosphorus were classified into several clusters characterized by mean and maximum and minimum of these 6 factors. Moreover, water temperature and chlorophyll-a from green algae were the most important factors for the feature extraction of the clusters. In addition, the seasonal change in the water environment characteristics was quantitatively estimated by determining the temporal change patterns of the clusters. In conclusion, our results indicated that clustering of the database with SOM was an effective analysis tool for the assessment of the water environment based on the results of detailed observations.
Notes	本研究では,農業農村地域の富栄養化が進行する地域水資源の保全と改善に資するための水環境解析手法を提案した.すなわち,水環境調査で得られる多様かつ経時的な情報から,藻類の季節的消長も含めた水質の変動特性を定量的に評価することを目的としたデータ解析である.藻類綱別Chl.aを含めた富栄養化に関わる水質項目の定期観測結果をもとに自己組織化マップ（SOM）を利用したデータのクラスタリングに着目することで水環境の特徴抽出を試みた.対象水域は,低平農地域に位置する二つの農業用貯水池であり,水深,貯留量,植生などの水域特性が異なる富栄養化水域である.SOM を利用したクラスタリングにより,水温,TOC,TN,TP,緑藻類Chl.a,藍藻類Chl.aから構成される定期観測結果のデータは複数のクラスタに分類された.各クラスタの特徴は,それを構成する観測結果の平均値によって表され,とくに水温と緑藻類Chl.aが水質環境の特徴抽出において重要な要素であった.また,クラスタの経時的な推移パターンによって各貯水池の水環境の季節的な変動特性,および二つの対象池の水質特性に関する相違点を容易に見出すことができた.以上のように,SOMを利用したデータのクラスタリングは,詳細な定期観測結果に基づく水環境の現状評価に対して有効なツールであることが示された.今後の課題として,クラスタの推移の要因を探るために,気温や日射量などの気象的要因を考慮に入れた解析が挙げられる.
Created Date	2012.06.09
Modified Date	2022.11.11