An Upper Bound on Carbon Emissions of Drained Peat Soil Grasslands From Satellite Radar Interferometry
衛星レーダー干渉法による排水泥炭土草地の炭素排出量の上限推定 (AI 翻訳)
Philip Conroy, Ramon F. Hanssen
🤖 gxceed AI 要約
日本語
本研究は、衛星SAR干渉法を用いてオランダ西部の泥炭草地における地盤変動を日単位で推定し、不可逆成分からCO2換算排出量の上限値を算出した。結果、21.5 tCO2eq/ha/年の排出上限が得られ、地域全体では2.3 MtCO2eq/年となり、オランダの温室効果ガス総排出量の約1.3%に相当する。本手法は将来排出量の予測や沈下緩和策の評価にも利用可能である。
English
This study uses satellite SAR interferometry to estimate daily land motion in drained peat grasslands in the western Netherlands, separating reversible and irreversible components to derive an upper bound of CO2-equivalent emissions. The result is 21.5 tCO2eq/ha/yr, totaling 2.3 MtCO2eq/yr for the region, about 1.3% of the Netherlands' total GHG emissions in 2019. The method also allows future emission projections and evaluation of subsidence mitigation measures.
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
日本の泥炭地（北海道など）でも排水によるCO2排出が問題となっている。本手法は日本の泥炭地にも応用可能な可能性がある。
In the global GX context
This paper introduces a satellite-based method to estimate peatland CO2 emissions, addressing a critical gap in greenhouse gas inventories. The approach can be applied globally to improve carbon accounting from drained peatlands, which are a major source of emissions.
👥 読者別の含意
🔬研究者:Carbon cycle and remote sensing researchers can adopt this method for regional-scale peatland emission estimation.
🏢実務担当者:Land managers and carbon offset projects can use this upper bound for planning and monitoring emission reductions.
🏛政策担当者:National inventory compilers can incorporate satellite-derived estimates to improve GHG reporting and target setting.
📄 Abstract（原文）
Abstract Drained and cultivated grasslands on peat soils behave as a significant source of greenhouse gasses by oxidation. However, the lack of empirical estimates of carbon losses from peatlands with adequate spatial and temporal resolution has forced researchers to rely on process‐based model approximations to make quantitative, regional‐ or national‐scale estimations. Here we use satellite‐based synthetic aperture radar interferometry to estimate the land motion per parcel with a daily resolution, discriminate a reversible and an irreversible component, and convert this to an upper bound of ‐equivalent emissions over the western part of the Netherlands. We find an upper bound of 21.5 ‐eq/ha/yr, corresponding to a total regional output of 2.3 ‐eq/yr, or approximately 1.3% of the entire greenhouse gas emissions of the Netherlands in 2019. The method also allows us to provide estimates for future emissions as well as evaluate the efficacy of installed subsidence mitigation measures.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1029/2025gl115732first seen 2026-05-21 04:29:26
🔔 こうした論文の新着を逃したくない方は キーワードアラート に登録（無料・3キーワードまで）。
gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。