Supplementary material for the article: Deviations between Tier 1 and Tier 2 estimates of methane emissions from Serbian landfills: Analysis of IPCC FOD model application (2021-2024), Vojnotehnički glasnik, 2026., 10.5937/vojtehg75-65116
Nikolina Bošković, Vladanka Presburger Ulniković, Marina R. Ilic
🤖 gxceed AI 要約
日本語
セルビアの12の衛生埋立地（2021-2024年）を対象に、IPCC FODモデルのTier1とTier2によるメタン排出量推定を比較した研究。Tier1はTier2比で加重平均42.7±11.3%の系統的な過大評価を示し、Vinča埋立地では67.2%の乖離があった。測定廃棄物量と地域較正パラメータを用いるTier2への移行が、正確な国別GHGインベントリとEU気候義務への整合に不可欠だと結論づける。
English
This study compares IPCC FOD Tier 1 and Tier 2 methane emission estimates for 12 Serbian sanitary landfills (2021-2024). Tier 1 systematically overestimated emissions by a weighted average of 42.7±11.3% versus Tier 2, with the largest deviation (67.2%) at Vinča landfill. The authors argue that transitioning to Tier 2 with measured waste data and locally calibrated parameters is essential for accurate national GHG inventories and EU climate alignment.
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
日本でも廃棄物部門はScope 3・自治体インベントリの論点であり、測定データと地域パラメータに基づくTier2移行の必要性は、日本のGHGインベントリ精緻化や排出量算定の透明性議論に示唆を与える。
In the global GX context
Accurate waste-sector methane accounting underpins national GHG inventories reported under the Paris Agreement and EU obligations; this paper quantifies how default-parameter Tier 1 methods can systematically overstate emissions, informing inventory methodology debates relevant to ISSB/CSRD-aligned emissions data quality.
👥 読者別の含意
🔬研究者:IPCC FODモデルのTier間乖離と地域パラメータ較正の重要性を定量化した実証例として参照できる。
🏢実務担当者:廃棄物・排出量算定担当者は、デフォルト値依存の推計が実測ベースと大きく乖離しうる点を算定精度管理に活かせる。
🏛政策担当者:国別インベントリのTier2移行と測定データ整備の政策的優先度を検討する材料になる。
📄 Abstract（原文）
Introduction: Methane (CH 4) emissions from landfills are estimated in national inventories using the IPCC First-Order Decay (FOD) model. Two methodological tiers exist: Tier 1, based on population data and default parameters, and Tier 2, based on measured waste quantities and locally determined parameters. The Republic of Serbia landfills over 90% of its municipal waste, yet the magnitude of methodological deviation between Tier 1 and Tier 2 estimates remains unquantified. Methods: Annual CH 4 emissions from 12 Serbian sanitary landfills (2021-2024) were estimated using both the IPCC Tier 1 and Tier 2 FOD approaches. Tier 1 employed effective population data (0.95 kg/capita/day) and default parameters (DOC=0.15, MCF=1.0, k=0.05 yr⁻¹). Tier 2 used measured waste quantities from the Serbian Environmental Protection Agency (SEPA) and locally determined parameters (DOC=0.1037-0.1085, MCF=0.5-1.0, k=0.06 yr⁻¹). Relative deviations between the two approaches were calculated and analysed statistically. Results: The Tier 1 approach systematically overestimated emissions by a weighted average of 42.7 ± 11.3% compared to Tier 2. The largest deviation occurred at the Vinča landfill (67.2%), where a waste-to-energy (WtE) plant and reduced methane correction factor (MCF=0.5) significantly lower emissions. The Subotica landfill showed a 38.5% deviation (MCF=0.5). Vinča alone contributes approximately 65% of national CH 4 emissions from the sanitary landfill sector. Conclusion: The continued application of Tier 1 methodology introduces significant, systematic overestimation of methane emissions from Serbian landfills. Transitioning to Tier 2 approaches with measured waste data and locally calibrated parameters is essential for accurate national greenhouse gas inventories, effective mitigation planning, and alignment with EU climate obligations.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.6084/m9.figshare.34168536first seen 2026-10-30 04:43:36 · last seen 2026-11-06 04:35:01
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