マレー・ダーリング流域における灌漑由来炭素排出の評価：公開データセットからの第一の知見
Assessing irrigation-driven carbon emissions across the Murray–Darling Basin: first insight from publicly available datasets (原題)
Arezoo Boroomandnia, Reihaneh Bandari, Behzad Rismanchi, Andrew M. Merchant
🤖 gxceed AI 要約
日本語
豪州マレー・ダーリング流域を対象に、灌漑用エネルギー消費と関連排出量を公開データから初めて流域規模で推計した研究。灌漑由来排出は年4.5〜9.01Mt CO2-e、送水量当たり0.53〜1.06t CO2-eと算出され、排出の大半は系統電力由来。電力脱炭素化が最大の削減機会であり、系統外地域では電化と分散型再エネが有効と示す。
English
First basin-scale estimate of irrigation energy use and emissions in Australia's Murray–Darling Basin, built from public datasets in a transparent top-down framework. Irrigation emissions range 4.5–9.01 Mt CO2-e/yr (0.53–1.06 t CO2-e per ML), dominated by grid electricity with diesel important off-grid. Electricity decarbonisation offers the largest mitigation opportunity, complemented by electrification and decentralised renewables.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本では農業・灌漑の脱炭素はScope 3や食品サプライチェーン排出の上流として重要性が増す。本手法は流域・地域単位の排出推計を公開データで再現可能に示す点で、国内の農業由来排出把握や地域脱炭素計画の参考になる。
In the global GX context
Adds to the energy-water-food nexus literature by providing a replicable, publicly-sourced benchmark for agricultural irrigation emissions. Relevant to global efforts on Scope 3 agriculture, water-energy disclosure, and regional decarbonisation planning where grid electricity dominates emissions.
👥 読者別の含意
🔬研究者:公開データのみで流域規模の灌漑排出を推計する再現可能なトップダウン手法と空間配分の枠組みを提供する。
🏢実務担当者:食品・農業関連企業がサプライチェーン上流の灌漑排出を把握し、電力脱炭素・電化の優先地域を判断する材料になる。
🏛政策担当者:系統外地域への分散型再エネ支援と電力脱炭素が灌漑排出削減に最も効くことを示し、地域別政策設計に示唆を与える。
📄 Abstract（原文）
Abstract Agricultural irrigation is the largest consumptive use of water in Australia. It heavily relies on energy-intensive pumping systems, linking water use to greenhouse gas emissions within the energy-water-food nexus. This study provides the first basin-scale estimate of irrigation energy use and associated emissions across the Murray–Darling Basin. It integrates publicly accessible datasets on agricultural energy, water use, and irrigation activity within a transparent and replicable top-down framework. Three scenarios were developed to estimate irrigation energy demand and associated emissions while reflecting uncertainty in irrigation’s share of agricultural energy use. Results indicate that irrigation-related emissions range from 4.5 to 9.01 Mt CO 2 -e annually, corresponding to 0.53–1.06 t CO 2 -e per ml of water applied. Emissions are dominated by grid electricity, although diesel use remains important in regions with limited grid access. Spatial analysis of proximity to electricity infrastructure enables a more refined allocation of energy sources. The results highlight spatial disparities in decarbonisation potential across the Basin. The findings demonstrate that electricity decarbonisation offers the greatest mitigation opportunity, complemented by electrification and decentralised renewable energy systems in off-grid areas. The framework provides the first transparent and transferable basin-scale benchmark for irrigation-related emissions. It establishes a foundation for targeted decarbonisation planning and future refinement as higher-resolution datasets become available.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1088/1748-9326/aea7b7first seen 2026-10-03 04:49:17
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