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Updated: Feb 13, 2026

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Published on: August 3, 2016

機能に基づく農薬置換のための枠組み

Phatchari Mankong¹, Pruetthichat Punyawattoe², Günter Brader³

¹Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark.

Environmental science & technology

|February 12, 2026

まとめ

この要約は機械生成です。

この研究は,農業におけるより安全な殺虫剤の代替品を特定するための定量的な枠組みを導入しています. それは,政策立案者や農家が危険な農薬の使用を減らすのを助け,人間と生態系の健康を保護します.

キーワード:

農業農業農業について代替案の評価について化学物質の足跡は,生態毒性について人間に対する毒性毒性害虫駆除には害虫駆除法があります.

さらに関連する動画

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

関連する実験動画

Last Updated: Feb 13, 2026

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Published on: August 3, 2016

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Synthesis and Characterization of Functionalized Metal-organic Frameworks

Published on: September 5, 2014

科学分野:

農業科学農業科学とは
環境科学環境科学
毒理学毒理学毒理学

背景:

農薬は,人間の健康と生態系に重大なリスクをもたらします.
現在の殺虫剤の代替は,作物,害虫,および有効性に関する規制を一致させるという課題に直面しています.
より安全な代替品の評価と実施には,体系的なアプローチが必要です.

研究の目的:

機能的に同等の農薬置換シナリオの評価のための定量的な枠組みを開発する.
農薬の使用による人間と生態系の健康への影響を軽減する.
政策立案者や農家に,より危険な殺虫剤の選択肢を選択する方法を指導する.

主な方法:

農薬の代替シナリオの定義と評価のための定量的な枠組みを開発しました.
タイの農業における農薬の使用を分析するためのフレームワークを適用した.
異なる作物-害虫の組み合わせと農薬シナリオにおけるインパクトパフォーマンスの変動性を評価した.

主要な成果:

特定された特定の作物 (トマト,ブラシカ野菜など) と害虫 (トリップス,葉鉱夫など) で,タイで非常に危険な農薬が使用されている.
農薬の組み合わせシナリオの数は,影響の変動性と相関しないことが実証されました.
各作物の害虫のクラスごとに代替のためのトップ10%のベストインクラスインパクトパフォーマンスシナリオを推奨しました.

結論:

提案された枠組みは,農薬の代替を評価するための堅実な方法を提供します.
発見は,農薬の段階的な廃止戦略を情報提供し,世界的な化学品管理目標を支援することができます.
農家が化学物質の足跡を削減し,持続可能な農業を促進するのに役立ちます.