Aquacultural Engineering最新文献

{"title":"STCA-MobileViTv3: A spatiotemporal collaborative attention network for fish feeding intensity recognition in underwater videos","authors":"Mingbiao Wu ,&nbsp;Liang Wang ,&nbsp;Tianyou Huang ,&nbsp;Huiyuan Pang ,&nbsp;Shuangyin Liu ,&nbsp;Meng Cui ,&nbsp;Longqin Xu","doi":"10.1016/j.aquaeng.2026.102695","DOIUrl":"10.1016/j.aquaeng.2026.102695","url":null,"abstract":"<div><div>Fish Feeding Intensity Recognition (FFIR) quantifies the feeding activity levels of fish schools during feeding operations, providing a basis for precise feed control and thereby reducing aquaculture costs. While most existing FFIR methods rely on static images, video-based approaches can capture feeding behavior processes with richer contextual information. However, existing video-based FFIR methods face two major challenges: first, underwater videos suffer from blurriness, uneven illumination, scaly reflection, and fish occlusion, making it difficult to distinguish subjects from backgrounds; second, redundant frames introduce excessive noise, hindering accurate focus on key motion cues. To address these issues, this paper proposes STCA-MobileViTv3, a video recognition model built upon the MobileViTv3-XXS backbone, with experiments conducted on tilapia aquaculture scenarios. The model incorporates a Spatiotemporal Cooperative Attention (STCA) module comprising three branches: Temporal Attention Gating (TAG) for adaptive redundant frame noise suppression, Multi-Scale Coordinate Attention (MSCA) for enhanced attention to feeding regions under underwater interference, and Spatial Motion Excitation (SME) for strengthened motion perception while mitigating underwater-specific disturbances. The experimental results show that our proposed model achieves an accuracy of 96.88 % and an F1 score of 0.9598, representing improvements of 6.88 % and 5.63 % over the baseline model and SlowFast, respectively, while maintaining only 1.431 M parameters. These results demonstrate that the proposed method achieves a favorable balance between accuracy and efficiency, showing potential for deployment in intelligent feeding systems for aquaculture.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"113 ","pages":"Article 102695"},"PeriodicalIF":4.3,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"To expand or not to expand? An LCA of the environmental sustainability of China's tunnel-greenhouse shrimp farming","authors":"Yue Sun ,&nbsp;Jinying Yu ,&nbsp;Xiaohan Yang ,&nbsp;Lei Jia ,&nbsp;Dengpan Dong ,&nbsp;Meng Li ,&nbsp;Xiefa Song ,&nbsp;Xian Li","doi":"10.1016/j.aquaeng.2026.102686","DOIUrl":"10.1016/j.aquaeng.2026.102686","url":null,"abstract":"<div><div>Tunnel-Greenhouse aquaculture (TGA) system as a cost-effective aquaculture system has been widely and rapidly promoted in China, accounting for approximately 20 % of shrimp production area. However, the environmental impact potential of TGA is still unknown compared with conventional shrimp aquaculture systems. A life cycle assessment (LCA) methodology was applied to characterize the environmental performance and potential improvement opportunities related to TGA and conventional systems, and a questionnaire survey of 52 farmers was carried out in the coastal region of eastern China. SimaPro 9.5.0.0 software was utilized to create a cradle-to-farmgate LCA based on trial and survey data, and CML-IA techniques were employed to assess the environmental performance. The results indicated that each ton of fresh shrimp produced applying the TGA farming system generates around 4989.5 kg CO₂ eq., 26.16 kg SO₂ eq., and 48.46 kg PO₄ eq. It also clearly demonstrated that the primary causes of environmental effects in the TGA shrimp farming system are the power used to run the farm, the usage of fishmeal as feed production raw materials, and the discharge of farming wastewater. Meanwhile, it pointed out that improving energy efficiency and reducing the use of fishmeal in feed are fundamental ways of minimizing environmental effects. Our findings could assist governments and businesses in making better decisions and support the more sustainable development of shrimp farming in China.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"113 ","pages":"Article 102686"},"PeriodicalIF":4.3,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145973045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neural network approaches for enhanced nitrate management in recirculating aquaculture systems","authors":"Xiangyu Fan ,&nbsp;Jiaxin Li ,&nbsp;Zhengguo Cui ,&nbsp;Shengkang Liang ,&nbsp;Jianlei Chen ,&nbsp;Hongwu Cui ,&nbsp;Hao Li ,&nbsp;Yong Xu ,&nbsp;Zhengdong Yin","doi":"10.1016/j.aquaeng.2025.102650","DOIUrl":"10.1016/j.aquaeng.2025.102650","url":null,"abstract":"<div><div>Nitrate accumulation poses a critical challenge in Recirculating Aquaculture Systems (RAS), where accurate prediction is essential for sustainable management. Existing models lack specialized architectures to capture the complex temporal dynamics of nitrate. To address this, we propose the Nitro Focus Conv-LSTM-Attention Network (NF-CLAN)—a novel hybrid neural network framework integrating biochemical principles with sequential modeling. By embedding real-time substrate concentrations (NH₄^⁺, NO₂^⁻) into LSTM gates via Michaelis-Menten kinetics modulation factors, NF-CLAN explicitly encodes nitrification processes. Through systematic optimization, we establish a prediction framework using 7 <em>time step</em> inputs and a multi-output strategy for stable multi-step forecasting. Evaluated on 83-day test data from independent RAS, NF-CLAN reduces prediction errors by over 15 % (MAE=0.0417; RMSE=0.0575; R²=0.956) compared to six baselines: CNN, LSTM, Attention, CNN-LSTM, LSTM-Attention, and CLAN (without nitrification kinetics module). Permutation importance analysis identifies TAN, NO₂^⁻, and COD as indispensable parameters among six common water quality inputs, enabling effective prediction with minimal monitoring costs. This work establishes a configurable paradigm for intelligent nitrate management in RAS.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102650"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility of a passive tidal floating upweller system for the nursery culture of bivalve spat","authors":"Mohamed Salman ,&nbsp;Vladislav Sorokin ,&nbsp;Andrew G. Jeffs ,&nbsp;Sebastian McDonald ,&nbsp;Michael MacDonald ,&nbsp;Colin Whittaker ,&nbsp;Bradley M. Skelton","doi":"10.1016/j.aquaeng.2025.102638","DOIUrl":"10.1016/j.aquaeng.2025.102638","url":null,"abstract":"<div><div>High losses of juvenile bivalves, such as oysters, clams, and mussels, during nursery culture reduce the overall efficiency of aquaculture production of many species. These losses can be mitigated through effective contained nursery culture systems, which provide sufficient flow of water containing suspended food particles to facilitate the growth of juveniles, usually in an upwelling arrangement. Raw seawater can be used to provision upwelling nursery systems with flowing water containing particulate food, but it requires substantial energy input to pump large volumes. This study sought to eliminate the energy inputs for nursery culture by conducting a feasibility study on a tidally driven floating upweller system (FLUPSY) using a comprehensive simulation and experimental study approach. A passive tidal FLUPSY was designed based on established designs, followed by comprehensive computational fluid dynamics simulations in flume and ocean fluid domains. The results from laboratory flow visualisation experiments showed good agreement with the simulations. Field experiments further validated the simulation results, and the observed flow velocities mirrored those obtained from simulations. However, the results of both the simulations and experiments revealed that despite an upward trend along the inclined intake ramp, the flow near the spat location in the passive tidal FLUPSY was relatively low. As such, an optimisation study was carried out to increase the FLUPSY's outlet velocity, which showed that a three times increase in inlet area resulted in 62 % of the incoming tidal flow being conveyed through the passive tidal FLUPSY. Nevertheless, the disproportion between the FLUPSY's inlet and outlet areas presents challenges to commercial viability. These results provide valuable insight into the feasibility of a passive tidal FLUPSY for bivalve aquaculture and underscore the need to further explore alternative active tidal FLUPSY designs to address these limitations.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102638"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Investigation of flow field and dissolved oxygen concentration distribution in aquaculture tanks based on computational fluid dynamics” [Aquac. Eng. 111 (2025) 102577]","authors":"Zhixin Xiong ,&nbsp;Ming Ma ,&nbsp;Yu Guo ,&nbsp;Yu Sun","doi":"10.1016/j.aquaeng.2025.102630","DOIUrl":"10.1016/j.aquaeng.2025.102630","url":null,"abstract":"","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102630"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145690599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital twin-based smart aquafarm monitoring system with multi-instance learning based on autoencoder model","authors":"Jungmin Kim ,&nbsp;Hyeongseok Hwang ,&nbsp;Youngbin Ko ,&nbsp;Chi-Hoon Lee ,&nbsp;Byung Gul Lee ,&nbsp;Jinho Bae","doi":"10.1016/j.aquaeng.2025.102656","DOIUrl":"10.1016/j.aquaeng.2025.102656","url":null,"abstract":"<div><div>In Jeju Island surrounded by the ocean, flatfish aqua farming is highly active. Flow-through aquaculture systems are predominantly employed in flatfish farming, necessitating accurate measurement and real-time monitoring of seawater condition variations for effective risk detection. In addition, it is necessary to develop a three-dimensional user interface that enables operators to intuitively perceive and interact with system information due to conventional smart aquaculture monitoring systems generally employ text or graph-based user interfaces. Hence, this paper proposes a digital twin monitoring system for aquaculture farms in a metaverse space based on Unreal Engine for temperature and dissolved oxygen of actual farms. To predict the temperature and dissolved oxygen data of the aquafarm, it applies a multi-instance learning (MIL) approach using an autoencoder model. Through this proposed method, it can effectively learn nonlinear data patterns and identify intricate relationships and combined features within sensor data. Moreover, risk levels can be represented as integrated probabilistic predictions through the proposed artificial intelligence (AI) model based on multi-instance learning (MIL) and an autoencoder. This information is represented in a digital twin of the aquaculture farm using Unreal Engine, allowing for intuitive and real-time monitoring of operational conditions. This capability enables timely and precise responses to environmental changes, thereby facilitating efficient decision-making. In particular, the proposed system can offer a real-time visualization of the farm within an online metaverse environment, serving as a foundational technology for not only farm management but also online education and aquaculture-related tourism, aligning with the demands of the digital transformation era.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102656"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145462616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sustainable aquaculture: An Iot-integrated system for real-time water quality monitoring featuring advanced do and ammonia sensors","authors":"Abrar Zuhaer ,&nbsp;Azad Khandoker ,&nbsp;Nafees Enayet ,&nbsp;Pronab Kumar Paul Partha ,&nbsp;Md. Abdul Awal","doi":"10.1016/j.aquaeng.2025.102620","DOIUrl":"10.1016/j.aquaeng.2025.102620","url":null,"abstract":"<div><div>Efficient water quality monitoring is essential for sustainable aquaculture. Key parameters such as dissolved oxygen (DO), ammonia, turbidity, pH, temperature, and total dissolved solids (TDS) are vital for mitigating fish loss and enhancing profitability. However, existing commercial solutions fail to provide a cost-effective, automated system for simultaneously measuring all six parameters. To address this limitation, a novel system integrates Internet of Things (IoT) sensors with real-time data presentation to continuously monitor water quality. Designed using a modified V-model methodology, the system provides real-time updates through an Android mobile application. The sensors demonstrated high accuracy: 90.5 % for DO, 88.9 % for ammonia, 96.4 % for turbidity, 94.8 % for pH, 99.1 % for temperature, and 94.9 % for TDS. Given the high cost of typical DO and ammonia sensors, in-house alternatives were developed, reducing expenses. By combining these with commercially available sensors, a six-sensor product package was created, cutting overall costs by approximately 85 % for end users. This significant cost reduction, coupled with real-time monitoring capabilities, democratizes access to advanced technology, promoting the widespread adoption of efficient and sustainable aquaculture practices.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102620"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145027604","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Denitrification performance of polyhydroxybutyrate/cellulose (PHBC) blend with and without a nitrogen-driven degassing column","authors":"Chinedu James Chiama ,&nbsp;Maria Teresa Gutierrez-Wing ,&nbsp;Chimezie John Chiama ,&nbsp;Mike Benton ,&nbsp;Ronald F. Malone","doi":"10.1016/j.aquaeng.2025.102643","DOIUrl":"10.1016/j.aquaeng.2025.102643","url":null,"abstract":"<div><div>The solid-phase denitrification (SPD) process can be severely inhibited by the presence of dissolved oxygen (DO). Efficient oxygen management, therefore, remains a critical challenge in designing simple and cost-effective SPD biofilters. This study evaluated the impact of DO on the denitrification performance of a polyhydroxybutyrate/cellulose (PHBC60:40) blend in flow-through biofilters. Two up-flow biofilters were designed: Group A, equipped with a nitrogen-driven degasser maintaining influent DO below 0.5 mg L⁻¹, and Group B, operated without a degasser under influent DO levels of 3–6 mg L⁻¹, at a flux of 2.5 m³ m⁻² d⁻¹ (HRT = 28 min). Group A achieved a maximum denitrification rate of 6.1 ± 0.1 kg NO₃⁻-N m^-³ d⁻¹, significantly higher than Group B’s 5.6 ± 0.2 kg NO₃⁻-N m^-³ d⁻¹, approximately a 9 % increase. Once stabilized after day 3, net effluent COD levels were 104 ± 24 mg L⁻¹ for Group A and 86.4 ± 30 mg L⁻¹ for Group B, with no statistically significant difference. Similarly, BOD₅ values were 101 ± 37 mg L⁻¹ and 86 ± 31 mg L⁻¹ for Groups A and B, respectively, with no observable significant difference. PHBC60:40 consumption rates were also comparable: 4.1 ± 0.4 kg PHBC (kg NO₃⁻-N)⁻¹ for Group A and 4.2 ± 0.7 kg PHBC (kg NO₃⁻-N)⁻¹ for Group B. Despite the improved nitrate removal in Group A, all other parameters were comparable between the systems. Moreover, as oxygen depletion in Group B occurred within just 5–10 % of the media bed, the added cost and complexity of a nitrogen-driven degasser are not justified. These findings indicate that the PHBC blend-packed biofilters can perform effectively without oxygen-stripping pretreatment.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102643"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145263165","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of polyaluminum chloride and anionic polyacrylamide in the solid-liquid separation pretreatment of aquaculture tailwater","authors":"Jianping Xu ,&nbsp;Yishuai Du ,&nbsp;Hexiang Wang ,&nbsp;Guogen Su ,&nbsp;Jiawei Zhang ,&nbsp;Fudi Chen ,&nbsp;Ming Sun ,&nbsp;Huiqin Tian ,&nbsp;Li Zhou ,&nbsp;Tianlong Qiu ,&nbsp;Jianming Sun","doi":"10.1016/j.aquaeng.2025.102647","DOIUrl":"10.1016/j.aquaeng.2025.102647","url":null,"abstract":"<div><div>Solid-liquid separation is crucial for the treatment of aquaculture tailwater. In this study, a solid-liquid separation process, polyaluminum chloride (PAC) + sedimentation tank + anionic polyacrylamide (APAM) + stacked screw filter press (SSFP), was constructed to improve the solid-liquid separation efficiency of aquaculture tailwater. An investigation was conducted involving the addition of PAC (M_PAC) and APAM (M_APAM), and relevant models were constructed though response surface methodology. The results indicated that SSFP cannot work effectively with only PAC added. The combination of PAC and APAM produced better results. When the daily feeding (M_Feeding) of <em>Litopenaeus vannamei</em> into a recirculating aquaculture system was 230 kg/d, M_PAC = 700 g, and M_APAM = 600 g, the filter residue yield was 61 kg (dry weight), and the recovery rate of solid particles in tailwater reached 90.65 %. The moisture content (MC) of the filter residue was recommended to be within the range of 77 −78 %. When M_Feeding = 70 −230 kg/d and the filter residue MC was 78 %, the PAC and APAM cost for solid-liquid separation was 11.5 −13.4 RMB, and the equipment operating cost was 9.09 RMB. This study developed a treatment method and provides primary data for the solid-liquid separation of aquaculture tailwater, promoting the treatment of aquaculture tailwater and the development of intensive aquaculture.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102647"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145320677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"UVA-LED365 nm and UVC-LED275 nm combined irradiation effectively inactivates Vibrio parahaemolyticus and controls photoreactivation by regulating illumination","authors":"Wenyu Zhao ,&nbsp;Weixiao Zhang ,&nbsp;Zhujun Qiu ,&nbsp;Yuqing Wang ,&nbsp;Chonghui Fan ,&nbsp;Yao Zhang ,&nbsp;Mingyuan Liu ,&nbsp;Zhongliang Gao ,&nbsp;Zi Liang ,&nbsp;Ziyi Sun ,&nbsp;Qian Zhang","doi":"10.1016/j.aquaeng.2025.102623","DOIUrl":"10.1016/j.aquaeng.2025.102623","url":null,"abstract":"<div><div>Ultraviolet disinfection is a common disinfection method for controlling large-scale disease outbreaks in aquaculture. This study investigated <em>Vibrio parahaemolyticus</em>, a common pathogen in aquaculture, to elucidate the differences in inactivation efficacy between UVA-LED (365 nm) and UVC-LED (275 nm) irradiation, both individually and in sequence. Additionally, it examined the effects and underlying mechanisms of various light conditions on the photoreactivation of <em>V. parahaemolyticus</em> following ultraviolet disinfection. The results demonstrated that UVC-LED achieved superior inactivation efficacy against <em>V. parahaemolyticus</em>, with a 3.9 log reduction at 12 mJ/cm². However, UVA pretreatment did not enhance the subsequent UVC-LED inactivation. Additionally, the bacterial growth rate of photoreactivation reaching 106.96 % under a white light at the intensity of 110 μmol/m²/s, which was significantly higher than that at 50 and 170 μmol/m²/s. Compared to other wavelengths, short wavelengths resulted in a relatively higher bacterial growth rate, with blue light achieving a rate of 143.48 % and significant expression of photolyase genes. In contrast, red and green light significantly inhibited the photoreactivation effect. Correlation analysis demonstrated that the bacterial growth rate was positively correlated with recovery time and light intensity during photoreactivation, while it was negatively correlated with spectral wavelength. This study clarified differences in inactivation efficiency between UVA-LED and UVC-LED, as well as the factors affecting photoreactivation of <em>V. parahaemolyticus</em>. To mitigate photoreactivation, increased light intensity and the avoidance of short-wavelength irradiation during the post-treatment phase provided valuable insights for UV-LED water disinfection systems.</div></div>","PeriodicalId":8120,"journal":{"name":"Aquacultural Engineering","volume":"112 ","pages":"Article 102623"},"PeriodicalIF":4.3,"publicationDate":"2026-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144997565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}