土地利用の空間的変動が川の水質に及ぼす影響の評価: ユラ川流域の事例研究,日本

Minori Tokito¹, Satoshi Asano², Keitaro Fukushima³

¹Graduate School of Agriculture, Kyoto University; Kitashirakawa Oiwake-cho, Sakyo-ku, Kyoto, 606-8502, Japan. tokito.minori.6n@kyoto-u.ac.jp.

Environmental management

|August 30, 2025

まとめ

地理的に加重された回帰 (GWR) は,土地の使用がサブ流域の川の水質にどのように影響するかを明らかにします. この方法は局所的で季節的な影響を正確に特定し,流域管理戦略を改善します.

科学分野:

環境科学
水学
地理空間分析

背景:

河川の水質に及ぼす土地利用の影響を理解することは,流域管理にとって極めて重要です.
過去の研究では,サブ流域の階層構造をしばしば見過ごしている.
土地利用効果における空間的異質性は,局所的な分析的アプローチを必要とします.

研究の目的:

地理的に加重された回帰 (GWR) をサブ流域構造と統合した新しいアプローチを開発し,適用し,土地利用と河川の水質を分析する.
水質指標に対する土地利用の影響の季節的および空間的変動を調査する.
流域規模の環境分析の精度を向上させる

主な方法:

地理的に加重された回帰 (GWR) を適用して,土地利用と水質の間の空間的関係をモデル化します.
上流と下流の点間の電気伝導性 (ΔEC) の差を局所的な水質指標として利用する.
日本ユラ川流域の灌と非灌の季節にわたる分析

主要な成果:

GWRモデルは,空間的異質性を捉える上で,グローバル回帰モデルよりも優れたパフォーマンスを示した.
主要な土地利用形態 (稲田,水体,森林) は,季節や場所によって水の質に異なる影響を及ぼしています.
統合されたGWRとΔECのフレームワークは,モデル残基における空間的自己相関を効果的に減少させた.

結論:

この研究は,特にサブ流域の階層を考慮する際に,流域規模の環境分析におけるGWRの有効性を検証しています.
地域特有の土地利用管理と季節的な考慮が効果的な流域保全の重要性を強調しています
開発された枠組みは,環境モニタリングのための強力なツールを提供し,水域政策の開発に情報を提供する.

キーワード:

地理的に加重された回帰 (GWR)土地利用への影響川の水質について空間的変動性流域管理ユラ川流域

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