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| 村镇污水处理厂碳排放影响因素分析与协同优化 |
| Influencing factor analysis and synergistic optimization of carbon emission from rural and township sewage treatment plants |
| 投稿时间：2026-05-29 修订日期：2026-07-03 |
| DOI： |
| 中文关键词: 村镇污水处理厂 碳排放强度 影响因素分析 多目标优化 低碳运行 |
| 英文关键词: rural and township sewage treatment plants carbon emission intensity influencing factor analysis multi-objective optimization low-carbon operation |
| 基金项目:国家自然科学基金青年科学(42301353)；重庆市社会科学规划重点项目(2020ZDSH10) |
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| 中文摘要: |
| 为助力村镇污水处理厂实现绿色转型目标，以重庆市江津区典型村镇污水处理厂为研究对象，系统分析碳排放强度影响因素，并结合非支配排序遗传算法（NSGA-II）构建“低碳-低成本”多目标优化模型，提出适配西南丘陵山区村镇污水处理厂特征的降碳减排策略参考。结果表明：研究区域村镇污水处理厂碳排放强度均值显著高于城镇污水处理厂，其主要来源为电耗和N2O排放；影响村镇污水处理厂碳排放强度的关键因素重要性排序为：运行负荷＞设计规模＞处理工艺＞进水碳氮比。权衡成本和碳排放，A2/O与A/O工艺与村镇污水处理厂较为适配，设计规模在500 m3/d左右时可以选择接触氧化+人工快渗工艺；提升运行负荷、适度扩大设计规模、优化碳氮比、选用低碳工艺是降低碳排放的核心路径。研究结果为“双碳”视域下三峡库区及西南丘陵山区村镇污水处理厂经济、低碳运行提供科学支撑。 |
| 英文摘要: |
| To help rural and township sewage treatment plants achieve green transformation goals, taking typical rural and township wastewater treatment plants in Jiangjin District of Chongqing as research objects, this study systematically analyzes the influencing factors of carbon emission intensity, and constructs a "low-carbon and low-cost" multi-objective optimization model using the Non-dominated Sorting Genetic Algorithm Ⅱ (NSGA-Ⅱ), so as to provide reference for carbon emission reduction strategies adapting to the characteristics of rural and township sewage treatment plants in the hilly and mountainous areas of Southwest China. The results show that the average carbon emission intensity of rural and township wastewater treatment plants in the study area is significantly higher than that of urban wastewater treatment plants, with electricity consumption and N2O emission as the dominant sources. The importance ranking of key factors affecting carbon emission intensity is as follows: operating load > design capacity > treatment process > influent C/N ratio. Considering both cost and carbon emission, A2/O and A/O processes are more suitable for rural and township wastewater treatment plants; the contact oxidation plus rapid infiltration process can be adopted when the design capacity is about 500 m3/d. The core pathways for carbon emission reduction include increasing operating load, appropriately expanding design capacity, optimizing the influent C/N ratio, and selecting low-carbon processes. The findings provide scientific support for the economical and low-carbon operation of rural and township wastewater treatment plants in the Three Gorges Reservoir Area and the hilly and mountainous regions of Southwest China under the "Dual Carbon" perspective. |
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