Greenhouse Gas Emission Characteristics and Mitigation Pathways of Wastewater Treatment Plants Based on Monthly Emission Data
月次排出データに基づく下水処理場の温室効果ガス排出特性と削減経路 (AI 翻訳)
Saijun Zhou, Zhijie Zheng, Yongyi Yu, Jinsui Qin, Xiufeng Chen, Renjian Deng, Yazhou Peng, Andrew Hursthouse, Mingjun Deng
🤖 gxceed AI 要約
日本語
本研究は中国の4つの異なるプロセスを持つ下水処理場の2022年月次運転データを用いて、GHG排出の時空間パターンと削減経路を分析。間接排出が支配的であり、膜処理プロセスはエネルギー需要から排出強度が高いことを確認。PV発電と再生水利用による削減効果は限定的で、統合的戦略の必要性を指摘。
English
This study analyzes GHG emissions from four Chinese WWTPs with different processes using 2022 monthly data. Indirect emissions dominate, driven by electricity. Membrane bioreactor processes show highest intensity due to energy demands. Existing PV and reclaimed water reuse achieve only 3.5-14.5% neutrality, highlighting the need for integrated strategies including operational optimization and policy incentives.
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
中国の地域特性を反映した排出係数を用いた実証研究。日本の下水処理場でも類似の分析が可能だが、SSBJや有報での開示要求には直接結びつかない。エネルギー効率と再生可能エネルギー導入の参考事例として位置づけられる。
In the global GX context
Provides empirical emission factors and reduction potentials for Chinese WWTPs, relevant for global carbon accounting standards like GHG Protocol. The methodological framework (monthly data, process-level analysis) can inform ISSB-aligned disclosure in the water sector, though the specific emission factors are China-specific.
👥 読者別の含意
🔬研究者:Provides process-level emission intensities and driving factors (organic load, nitrogen) for WWTPs, useful for developing dynamic GHG models.
🏢実務担当者:Offers benchmarks for emission reduction measures (PV, reclaimed water) and highlights operational optimization opportunities in wastewater treatment.
🏛政策担当者:Demonstrates the limited impact of current mitigation measures and the need for integrated policies combining technology and incentives.
📄 Abstract（原文）
ABSTRACT This study investigates the dynamic greenhouse gas (GHG) emissions of four urban wastewater treatment plants (WWTPs) employing distinct processes (Plant A: oxidation ditch [OD]–cyclic activated sludge system [CASS]; Plants B/C: A 2 O; Plant D: A 2 O‐membrane bioreactor [MBR]) using 2022 monthly operational data. Referring to the emission factors provided in the Technical Guidelines for Carbon Accounting and Emission Reduction Pathways in Urban Water Systems, which better reflect China's regional characteristics, this study analyzes the spatiotemporal patterns and driving mechanisms of direct emissions (CH 4 , N 2 O, and sludge carbonization), indirect (electricity, chemicals, and transportation), and GHG reduction (photovoltaic power generation [PV] and reclaimed water reuse) pathways. Key findings reveal: (1) Substantial process‐specific emission intensity variations (0.26–0.88 kg/m 3 ), with Plant D exhibiting the highest intensity due to membrane energy demands, whereas Plants B/C achieved lower intensity through flexible return ratio adjustments; (2) indirect emissions dominated total emissions, primarily driven by electricity consumption; direct N 2 O emissions were also significant; (3) inflow organic load ( Q r , ) and total nitrogen ( T TN , ) emerged as critical intensity influencers, whereas biochemical oxygen demand ( T BOD5 , ) and chemical oxygen demand ( T COD , ) also showed significant positive correlations; (4) existing GHG reductions (PV: 3.5% neutrality; reclaimed water: 7.3%–14.5%) remain insufficient for neutrality goals. The study underscores the necessity for integrated strategies combining operational optimization, process selections, resource recovery technologies, and policy incentives to achieve dynamic GHG management in municipal WWTPs.
🔗 Provenance — このレコードを発見したソース
- crossref https://doi.org/10.1002/ghg.70037first seen 2026-07-14 05:22:03
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