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日本農業新聞・GXグローバル　中国・新５カ年計画の農業脱炭素　「測る」から「値付け」へ

IGES北九州アーバンセンターは、パリ協定が掲げる1.5℃目標と私たちの日々の暮らしとのつながりを考え、より持続可能なライフスタイルへの行動変容を促すことを目的に、「1.5℃ライフスタイルワークショップ」を北九州市立ユースステーションと共催しています。学びだけでなく、家庭での実践や調理実習などを通じて、日常生活の中でできる行動を実際に試すことを重視しています。 第6回目となる今回は、「食べもの」をテーマに、中学生から社会人までが参加しました。参加者は、地元の食材を選ぶ、食品ロスを減らす、菓子やジュースを減らすなどの行動を約10日間家庭で実践するとともに、食品ロス削減につながる調理実習にも取り組みました。振り返りでは、温室効果ガスの削減だけでなく、節約や健康、地域経済への貢献など...

This pamphlet introduces the latest activities of Kitakyushu Urban Centre.

北九州アーバンセンターの活動を紹介する2026年発行のパンフレットです。

This tool supports renewable energy planning by estimating the environmental, economic, and social co-benefits of agrivoltaics deployment. The calculator can be applied across different cities, regions, and countries using customizable assumptions and conversion factors, enabling users to assess potential project impacts, including electricity...

Bhutan faces mounting pressure on its municipal solid waste (MSW) management systems. Its capital city, Thimphu, generates approximately 50 tonnes of MSW per day, of which roughly 30 tonnes per day is organic (wet) waste that is currently deposited at the Memelakha landfill — an ageing open-dumpsite already well beyond its intended lifespan. At the...

Achieving the Sustainable Development Goals (SDGs) in the Asia-Pacific region requires understanding the deeply interconnected nature of the triple planetary crisis: climate change, biodiversity loss and pollution, while advancing socioeconomic development. Progress depends not only on sectoral achievements, but on the ability of policymakers and...

日本農業新聞・GXグローバル 「中国　農業脱炭素化の法典化　市場と“両輪”戦略で」

Typhoon impacts in the Philippines exhibit strong neighbour hood-scale heterogeneity driven by interactions among haz ard intensity, exposure, and vulnerability, yet most opera tional assessments remain hazard-centric. This study presents a grid-based machine-learning framework for neighbour hood-scale typhoon risk mapping integrating geophysical...

Typhoon impacts in the Philippines exhibit strong neighbourhood-scale heterogeneity driven by interactions among hazard intensity, exposure, and vulnerability, yet most operational assessments remain hazard-centric. This study presents a grid-based machine-learning framework for neighbourhood-scale typhoon risk mapping integrating geophysical...