SAMPLING SITE LOCATION PROBLEM IN LAKE MONITORING HAVING MULTIPLE PURPOSES AND CONSTRAINTS SAMPLING SITE LOCATION PROBLEM IN LAKE MONITORING HAVING MULTIPLE PURPOSES AND CONSTRAINTS

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Monitoring is a task of actual water collection in water quality assessment from lakes. In this paper, we consider the problem of locating water sampling sites which is a significant issue in the design of lake monitoring. We formulate the location problem so that it can handle multiple purposes and constraints arising in monitoring tasks, and design an algorithm based on iterated local search (ILS). In our experiments, we apply our formulation to the real situation of Lake Biwa, the largest freshwater body in Japan. The ILS based algorithm finds such a location of sampling sites from which we can achieve better estimation of water quality distribution over the entire lake than the existing location, where we assume the existence of the true distribution and generate it by Lake Biwa Basin Hydrological and Material Cycle Model. Also, we observe that some points are newly selected in the output solutions more frequently than others; such points can be interpreted as potential sampling sites.

Monitoring is a task of actual water collection in water quality assessment from lakes. In this paper, we consider the problem of locating water sampling sites which is a significant issue in the design of lake monitoring. We formulate the location problem so that it can handle multiple purposes and constraints arising in monitoring tasks, and design an algorithm based on iterated local search (ILS). In our experiments, we apply our formulation to the real situation of Lake Biwa, the largest freshwater body in Japan. The ILS based algorithm finds such a location of sampling sites from which we can achieve better estimation of water quality distribution over the entire lake than the existing location, where we assume the existence of the true distribution and generate it by Lake Biwa Basin Hydrological and Material Cycle Model. Also, we observe that some points are newly selected in the output solutions more frequently than others; such points can be interpreted as potential sampling sites.

収録刊行物

  • 日本オペレーションズ・リサーチ学会論文誌

    日本オペレーションズ・リサーチ学会論文誌 53(4), 289-304, 2010

    公益社団法人 日本オペレーションズ・リサーチ学会

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各種コード

  • NII論文ID(NAID)
    110008006430
  • NII書誌ID(NCID)
    AA00703935
  • 本文言語コード
    ENG
  • 資料種別
    ART
  • ISSN
    0453-4514
  • NDL 記事登録ID
    10914523
  • NDL 雑誌分類
    ZM31(科学技術--数学) // ZD25(経済--企業・経営--経営管理)
  • NDL 請求記号
    Z53-M226
  • データ提供元
    CJP書誌  NDL  NII-ELS  IR  J-STAGE 
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