高级检索

    工厂化水产养殖循环水处理技术现状与挑战

    Current Status and Challenges of Recirculating Water Treatment Technologies in Industrialized Aquaculture

    • 摘要: 在全球水产养殖向集约化与生态化转型背景下,工厂化循环水养殖系统(RAS)成为推进产业绿色升级的关键技术,但其规模化应用面临污染物深度脱除受限与运行能耗高的挑战。本文从系统工程视角出发,综述了RAS核心水处理单元的耦合机制与调控策略。在生物脱氮方面,针对传统工艺高能耗及抗冲击负荷弱的问题,探讨了低碳脱氮路径,明确了生物膜单元功能菌群定向富集与稳态维持的调控方向;在致病风险阻控方面,针对化学消杀与抗生素易破坏系统生态并诱发耐药性的问题,探讨了环境友好型消杀药剂与靶向抑菌技术的应用潜力;在多相分离方面,剖析了微气泡气浮与臭氧/紫外协同工艺对微细颗粒及难降解有机物的去除机制,但存在高能耗与抗性基因富集的风险。本文展望了RAS在系统集成与数字化运维方面的发展趋势,提出在“水−能源−食物”纽带框架下,通过计算流体力学优化流场以降低水力能耗、人工智能实现水质预测与前馈调控、利用可再生能源以削减碳足迹,推动养殖模式向基于数字孪生的“数据驱动与机理模型”深度融合方向变革。本文旨在为实现水产养殖的绿色低碳转型与循环水全流程稳态运行提供技术支撑。

       

      Abstract: Recirculating aquaculture systems (RAS) have emerged as a key driver for the green upgrading of the aquaculture industry amid the global shift toward intensification and ecological sustainability. However, the widespread application of RAS still faces challenges such as the limited removal of characteristic pollutants (e.g., high-concentration inorganic nitrogen and trace organic compounds) and high operational energy consumption. From a systems engineering perspective, this review comprehensively discusses the coupling mechanisms and targeted regulation strategies of the core water treatment units in RAS. For biological nitrogen removal, we evaluate autotrophic nitrogen removal pathways (e.g., Feammox) that potentially break through the efficiency bottlenecks of conventional nitrification-denitrification. While these novel pathways demonstrate promising energy savings (up to 44.7% reduction compared to complete nitrification-denitrification), their practical application remains largely at the laboratory scale, with unresolved challenges in reactor stability and process control under real aquaculture conditions. Furthermore, to address the current difficulties in controlling biofilm thickness within existing processes, we propose that future optimizations should focus on achieving the targeted enrichment of microbial communities and steady-state maintenance through filler modification and fluid shear stress regulation. Regarding pathogenic risk control, conventional chemical disinfection and antibiotics lack selectivity, disturbing the system's ecology and exacerbating antimicrobial resistance. Cost-effective and environmentally friendly options like performic acid are therefore gaining attention. In contrast, precision technologies such as quorum quenching and gene silencing are theoretically attractive but face significant engineering challenges including activity maintenance and scaling costs in the near term. For multiphase separation, conventional mechanical micro-screens fail to intercept fine particles (< 30 μm), leading to excessive organic accumulation. Microbubble-driven dissolved air flotation offers a highly efficient alternative to overcome this physical interception limit, significantly reducing the biochemical oxygen demand on downstream biofilters. Furthermore, while advanced oxidation processes (AOPs), such as ozone and photoelectrocatalysis, effectively degrade refractory dissolved organics and trace antibiotics, they introduce an operational trade-off where excessive oxidation substantially increases energy demands and risks inducing the horizontal transfer of antibiotic resistance genes (ARGs). Thus, balancing oxidation dosages for both ecological safety and energy efficiency remains paramount. Looking forward, we outline the development trajectories of RAS toward system integration and digital operation and maintenance. We propose that under the Water-Energy-Food nexus framework, concrete pathways for technology implementation include: (i) computational fluid dynamics-assisted hydrodynamic optimization to reduce hydraulic energy consumption; (ii) artificial intelligence-enabled predictive water quality control to achieve feedforward regulation rather than lagged responses; (iii) the integration of renewable energy sources (e.g., solar and wind) to power electrolytic oxygen supply and temperature control, thereby lowering operational costs; and (iv) digital twin technologies integrating real-time sensor data with mechanistic models for flow field reconstruction and early warning. Collectively, these cross-disciplinary innovations are driving the transformation of aquaculture models toward the deep fusion of "data-driven and mechanistic models". This review aims to provide theoretical and technological support for achieving a low-carbon transition of aquaculture and the full-process steady-state operation of RAS.

       

    /

    返回文章
    返回