基于AHP的水生植物残体资源化利用路径选择评价及案例分析
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黄嘉良(1994—),男,江苏省昆山人,工程师,硕士,从事固废资源化研究。E-mail: huang_jialiang@ctg.com.cn |
收稿日期: 2025-04-09
修回日期: 2025-07-15
网络出版日期: 2026-03-12
版权
AHP-based evaluation and case studies on resource utilization pathway selection for aquatic plant residue
Received date: 2025-04-09
Revised date: 2025-07-15
Online published: 2026-03-12
Copyright
在一些受污染的水生生态系统中,会出现植物疯长蔓延等问题,随着植物季节枯荣和消亡,会产生一定量的影响水体健康的水生植物残体等固体废弃物,如不对这些固体废弃物及时进行处理,会对水生生态系统生境造成进一步的污染。随着“无废城市”建设的推进,需要寻求水生植物残体资源化利用的途径。为解决路径选择难题,本文构建了基于层次分析法(AHP)的水生植物残体资源化技术评价体系。该评价体系包括技术、经济、环境、社会和政策5个一级指标以及17个二级指标,通过建立系统化的评价模型,以苏州市蓝藻、水葫芦(Pontederia crassipes)等典型水生植物残体为研究对象进行实证分析。研究结果表明,技术指标(权重51%)和碳排放量(环境指标子项,权重17.94%)是影响技术路线选择的关键要素。通过综合评价发现,好氧堆肥(7.215分)在适应高纤维物料特性、市场需求稳定性及设施适配性方面表现最优,其次为厌氧消化(6.416分)和协同焚烧(5.549分)。建议构建“好氧堆肥为主、厌氧消化为辅、协同焚烧托底”的复合处理体系,并结合当地政策支持与产业布局优化。本文可为水生植物残体资源化路径选择提供科学决策依据。
黄嘉良 , 胡伟 . 基于AHP的水生植物残体资源化利用路径选择评价及案例分析[J]. 湿地科学, 2026 , 24(1) : 189 -198 . DOI: 10.13248/j.cnki.wetlandsci.20250081
The sustainable management of aquatic ecosystems faces growing challenges due to the accumulation of plant-derived biomass waste in polluted lakes and reservoirs. Issues such as impaired plant growth, uncontrolled proliferation, seasonal die-off, and rapid decomposition of vegetation contribute to significant accumulations of organic residues. These materials not only deteriorate water quality by releasing nutrients and accelerating eutrophication but also disrupt the ecological balance of freshwater habitats. Without timely and systematic intervention, such residual biomass can cause secondary pollution, further compromising aquatic biodiversity and ecosystem services. Against the backdrop of China’s Zero-Waste City initiative, there is a pressing need to transition from conventional disposal methods toward sustainable, resource-oriented strategies consistent with circular economy principles. To address the challenge of selecting appropriate treatment pathways, this study developed a multi-criteria decision framework based on the Analytic Hierarchy Process (AHP). The framework integrates five fundamental dimensions, including technical economic, environmental, social, and policy criteria, supported by 17 sub-criteria that systematically reflect sustainability priorities and local operational conditions. The model was applied to assess typical forms of aquatic waste, such as cyanobacterial blooms and water hyacinth (Pontederia crassipes) in Suzhou City, a representative urban area in China confronting eutrophication and aquatic vegetation management challenges. The AHP-based weighting results highlighted technical feasibility as the most influential criterion, accounting for 51% of the total decision weight. Among environmental sub-criteria, carbon emissions emerged as a dominant factor with a weight of 17.94%, underscoring the growing importance of low-carbon considerations in technology selection. Using a normalized scoring mechanism, aerobic composting received the highest comprehensive evaluation score (7.215), attributable to its strong compatibility with high-fiber feedstock, steady market demand for compost products, and operational adaptability to local infrastructure. Anaerobic digestion ranked second (6.416), offering appreciable energy recovery benefits though limited by process stability requirements and capital investment. Co-incineration (5.549) scored lower, constrained by its reliance on auxiliary fuels, higher emissions, and public acceptance challenges, positioning it mainly as a contingency option. Based on these findings, the study proposes an integrated and hierarchical management system centered on aerobic composting, supplemented by anaerobic digestion, and incorporating co-incineration as a contingency option. This multi-technology framework is designed to enhance flexibility, resource output, and environmental performance. Further analysis emphasizes the importance of region-specific policy support, industrial symbiosis models, and regulatory incentives to enable technology adoption and scalling. By combining scientific assessment with practical policy insights, this research provides a robust and transferable decision-support tool for advancing sustainable resource utilization of aquatic plant residue in urban and peri-urban contexts.
1 Evaluation indicator system for resource utilization technology of aquatic plant residue水生植物残体资源化利用技术评价指标体系 |
| 序号 | 一级指标 | 二级指标 | 指标性质 |
| 1 | 技术指标B1 | 木质素C1 | 定量 |
| 2 | 纤维素C2 | 定量 | |
| 3 | 热值C3 | 定量 | |
| 4 | 碳氮比C4 | 定量 | |
| 5 | 蛋白质含量C5 | 定量 | |
| 6 | 污染物含量C6 | 定量 | |
| 7 | 经济指标B2 | 处理成本C7 | 定量 |
| 8 | 城市综合实力C8 | 定性 | |
| 9 | 处理周期C9 | 定性 | |
| 10 | 环境指标B3 | 碳排放量C10 | 定量 |
| 11 | 排放标准C11 | 定性 | |
| 12 | 副产物处理设施C12 | 定性 | |
| 13 | 社会指标B4 | 产业布局C13 | 定性 |
| 14 | 环保意识C14 | 定性 | |
| 15 | 市场需求C15 | 定性 | |
| 16 | 政策指标B5 | 政策支持C16 | 定性 |
| 17 | 财政支持C17 | 定性 |
3 Target layer and criterion layer judgment matrix目标层–准则层判断矩阵 |
| 技术 | 经济 | 环境 | 社会 | 政策 | |
| 技术 | 1 | 5 | 3 | 7 | 9 |
| 经济 | 1/5 | 1 | 1/3 | 3 | 5 |
| 环境 | 1/3 | 3 | 1 | 5 | 7 |
| 社会 | 1/7 | 1/3 | 1/5 | 1 | 3 |
| 政策 | 1/9 | 1/5 | 1/7 | 1/3 | 1 |
4 Criteria layer B1-indicator layer judgment matrix准则层B1–指标层判断矩阵 |
| 技术指标 | 木质素 | 纤维素 | 热值 | 碳氮比 | 蛋白质含量 | 污染物含量 |
| 木质素 | 1 | 3 | 5 | 3 | 7 | 1/3 |
| 纤维素 | 1/3 | 1 | 3 | 1/2 | 5 | 1/5 |
| 热值 | 1/5 | 1/3 | 1 | 1/3 | 3 | 1/7 |
| 碳氮比 | 1/3 | 2 | 3 | 1 | 5 | 1/3 |
| 蛋白质含量 | 1/7 | 1/5 | 1/3 | 1/5 | 1 | 1/9 |
| 污染物含量 | 3 | 5 | 7 | 3 | 9 | 1 |
5 Criteria layer B2-indicator layer judgment matrix准则层B2–指标层判断矩阵 |
| 经济指标 | 处理成本 | 城市综合实力 | 处理周期 |
| 处理成本 | 1 | 2 | 3 |
| 城市综合实力 | 1/2 | 1 | 2 |
| 处理周期 | 1/3 | 1/2 | 1 |
6 Criteria layer B3- Indicator layer judgment matrix准则层B3–指标层判断矩阵 |
| 环境指标 | 碳排放量 | 排放标准 | 副产物处理设施 |
| 碳排放量 | 1 | 4 | 6 |
| 排放标准 | 1/4 | 1 | 3 |
| 副产物处理设施 | 1/6 | 1/3 | 1 |
7 Criteria layer B4-indicator layer judgment matrix准则层B4–指标层判断矩阵 |
| 社会指标 | 产业布局 | 环保意识 | 市场需求 |
| 产业布局 | 1 | 4 | 3 |
| 环保意识 | 1/4 | 1 | 1/2 |
| 市场需求 | 1/3 | 2 | 1 |
8 Criteria layer B5-indicator layer judgment matrix准则层B5–指标层判断矩阵 |
| 政策方面 | 政策支持 | 财政支持 |
| 政策支持 | 1 | 3 |
| 财政支持 | 1/3 | 1 |
10 Comprehensive weights of all levels in the evaluation system评价体系各层级综合权重 |
| 序号 | 准则层 | 权重/% | 指标层 | 综合权重/% |
| 1 | 技术指标 (B1) | 51 | 木质素 | 12.75 |
| 2 | 纤维素 | 5.10 | ||
| 3 | 热值 | 2.55 | ||
| 4 | 碳氮比 | 7.14 | ||
| 5 | 蛋白质含量 | 1.53 | ||
| 6 | 污染物含量 | 21.93 | ||
| 7 | 经济指标 (B2) | 13 | 处理成本 | 7.02 |
| 8 | 城市综合实力 | 3.90 | ||
| 9 | 处理周期 | 2.08 | ||
| 10 | 环境指标 (B3) | 26 | 碳排放量 | 17.94 |
| 11 | 排放标准 | 5.72 | ||
| 12 | 副产物处理设施 | 2.34 | ||
| 13 | 社会指标 (B4) | 6 | 产业布局 | 3.78 |
| 14 | 环保意识 | 0.84 | ||
| 15 | 市场需求 | 1.44 | ||
| 16 | 政策指标 (B5) | 3 | 政策支持 | 2.25 |
| 17 | 财政支持 | 0.75 |
11 Summary of consistency inspection results at various levels各层级一致性检验结果 |
| 层级 | 最大特征值 | 一致性比率 |
| 注:–表示无数据。 | ||
| 准则层 | 5.237 | 0.052 |
| 技术指标 | 6.286 | 0.057 |
| 经济指标 | 3.009 | 0.008 |
| 环境指标 | 3.053 | 0.046 |
| 社会指标 | 3.018 | 0.016 |
| 政策指标 | – | – |
12 Scoring results for resource utilization pathways of aquatic plant residuals in Suzhou City苏州市水生植物残体资源化处理路径评分结果 |
| 二级指标 | 厌氧消化 | 协同焚烧 | 好氧堆肥 | 饲料制备 |
| 木质素 | 6 | 8 | 7 | 5 |
| 纤维素 | 5 | 8 | 8 | 5 |
| 热值 | 6 | 9 | 4 | 3 |
| 碳氮比 | 8 | 6 | 9 | 6 |
| 蛋白质含量 | 3 | 1 | 4 | 9 |
| 污染物含量 | 7 | 6 | 8 | 3 |
| 处理成本 | 4 | 7 | 6 | 5 |
| 城市综合实力 | 7 | 8 | 7 | 6 |
| 处理周期 | 7 | 9 | 3 | 7 |
| 碳排放量 | 6 | 1 | 8 | 7 |
| 排放标准 | 6 | 7 | 7 | 6 |
| 副产物 | 9 | 2 | 8 | 7 |
| 产业布局 | 8 | 8 | 7 | 4 |
| 环保意识 | 7 | 7 | 7 | 6 |
| 市场需求 | 9 | 6 | 6 | 5 |
| 政策支持 | 9 | 2 | 5 | 5 |
| 财政支持 | 9 | 3 | 7 | 4 |
| 综合分数 |
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