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Updated: Feb 10, 2026

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都市環境におけるラドン子粒子と粒子状物質の相互作用
Mohammad Alem Sultani1, Martin Bulko1, Monika Müllerová1
1Department of Nuclear Physics and Biophysics, Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava, Mlynská Dolina, 842 48, Bratislava, Slovakia.
Journal of environmental radioactivity
|February 8, 2026
まとめ
大気中粒子状物質(PM)はラドン子粒子レベルに大きく影響し、プラトーに達する前に2倍以上に増加する。ランダムフォレストのような高度な機械学習モデルは、正確な放射線量評価のためにこれらの複雑なラドン-PMダイナミクスを最もよく捉える。
科学分野:
- 環境科学
- 大気化学
- 公衆衛生
背景:
- 大気中ラドン子粒子と粒子状物質(PM)は、重大な環境健康リスクをもたらす。
- ラドン子粒子とPMの間の相互作用と共変動性は十分に理解されていない。
研究 の 目的:
- 都市部における短寿命の屋外ラドン子粒子と周囲のPM(PM10およびPM2.5)との相互作用を調査すること。
- ラドン子粒子濃度に対するPMの影響を定量化し、気象要因の調整効果を探ること。
主な方法:
- 3年間にわたるラドン子粒子、PMレベル、境界層高度、および気象データの連続測定。
- 統計モデルおよび機械学習モデルの適用:主成分分析、重回帰分析(MLR)、一般化加法モデル(GAM)、ランダムフォレスト(RF)、およびXGBoost。
主要な成果:
- 粒子状物質(PM)が平衡等価ラドン濃度(EEC)の主要な予測因子であることが特定され、強い正の関連が示された。
- 非線形関係が観察された:EECはPM濃度の上昇とともに急増(2倍以上に増加)した後、プラトーに達した。
- ランダムフォレストモデルは、GAM(R² = 0.49)およびMLR(R² = 0.43)を上回る最高の予測精度(R² = 0.72)を示した。
結論:
- PM濃度は、気象条件によって調整される効果を伴い、大気中の付着ラドン子粒子に大きく影響する。
- 柔軟な非線形モデリングアプローチは、複雑なラドン-PMダイナミクスを正確に捉えるために不可欠である。
- エアロゾル相互作用の理解は、放射線量評価の改善に不可欠である。
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