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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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典型的な飽和した交差する骨折におけるLNAPL移行の統計的代理モデルによる効率的な定量化.

Yuntian Pang1, Cixiao Qu2, Mingyu Wang3

  • 1College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China; Sino-Danish Centre for Education and Research, University of Chinese Academy of Sciences, Beijing 100049, China.

Journal of hazardous materials
|February 20, 2026
PubMed
まとめ

この研究では,断裂した岩盤における軽い非水相液体 (LNAPL) 移動を定量化しています. 統計モデルはLNAPLの動きを正確に予測し,破裂した水層における環境リスクの評価を助けます.

キーワード:
一般化可能な統計的代替モデル地下水の汚染 地下水の汚染LNAPLの移住主要なコントロール要因飽和した交差する骨折.

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科学分野:

  • 環境科学 環境科学
  • 水文地質学 水文地質学は,水文地質学である.
  • 地質科学は地質科学である.

背景:

  • 断裂した岩底の水層における軽い非水相液体 (LNAPLs) の汚染は,重大な環境リスクをもたらす.
  • 飽和した交差する骨折におけるLNAPLの移動を定量化することは極めて重要ですが,複雑な影響要因のために困難です.

研究 の 目的:

  • 飽和した交差する骨折におけるLNAPLの時空移動特性を調査し,定量化する.
  • LNAPLの移行を制御する重要な要因を特定し,予測可能な統計的代替モデルを開発する.

主な方法:

  • 代表的なシナリオを生成するために,正交の実験設計とラテンハイパーキューブサンプリングを使用しました.
  • 数値シミュレーションを行い,物理実験に対してモデルの信頼性を検証した.
  • LNAPLの移住特性を予測するための統計的代理モデルを開発し,検証しました.

主要な成果:

  • 飽和した交差する骨折におけるLNAPL移行に関する主要なコントロールを特定した.
  • 移住予測のための15-30%の平均相対誤差 (MREs) を有する一般化可能な統計代用モデルを開発しました.
  • 断裂のシリーズにモデルを適用する際,満足のいく予測性能 (REs<20%) を実証した.

結論:

  • 統計的代替モデルは,断裂した水層におけるLNAPL移動特性の信頼性の高い予測を提供します.
  • 開発されたフレームワークは,さまざまな骨折シナリオにおけるLNAPL移行を定量化するための実行可能なアプローチを提供します.
  • この研究は,断裂した岩盤環境におけるLNAPL汚染をよりよく理解し,管理するのに役立ちます.