Metal leaching and toxicity of denitrifying woodchip bioreactor outflow—Potential reuse application

The denitrifying woodchip bioreactor is designed to remediate nitrate-rich water, including those produced from aquaculture effluents. Reuse of treated bioreactor outflows in recirculating aquaculture would offer considerable water savings and valuable alkalinity recuperation. However, such bioreactors may leach detrimental wood-bound contaminants, preventing outflow reuse. To determine water reuse potential, woodchip media from two hardwood species (white ash, Fraxinus americana; Norway maple, Acer platanoides) were evaluated for 206 d under a range of operating conditions (start-up, steady-state, reducing conditions, and drying-rewetting cycles) for a spectrum of potentially harmful dissolved contaminants. Aerated outflows also were evaluated for acute and chronic toxicity to the biologically sensitive invertebrate Ceriodaphnia dubia. Dissolved metal leaching subsided within the first few weeks of operation, though initial concentrations of copper and zinc were detected at concentrations of concern. Elevated concentrations of tannins-lignin and total ammonia nitrogen were detected throughout the study and were influenced by operational phase. Acute toxicity was not generally detected, though chronic toxicity was observed during drying-rewetting cycles in the maple outflows. The measured toxicity was not correlated with water chemistry, indicating an additive effect of several toxicants. Overall, significant differences in outflow water quality between ash and maple wood species were negligible. Results indicated that bioreactor outflows may be applicable for aquacultural reuse, though reusing outflows immediately following start-up or restarting after a dry period would not be recommended.     

Hydrodynamic method for estimating production carrying capacity of coastal finfish cage aquaculture in Southeast Asia

This paper presents the development of a simple and generally applicable hydrodynamic method for the estimation of production carrying capacity (PCC) of coastal finfish cage aquaculture. Dimensional analysis was used to find significant and general interdependencies between the hydrodynamics at fish farm locations and particulate wastes deposited on the seafloor by fish farms. Modeled ratios of deposition to emission of particulate wastes underneath fish farms were found to be primarily a function of the flow Reynolds numbers at the farming locations and the non-dimensional settling velocity of emitted wastes. In the non-dimensional model, farming conditions include daily feed rate, proportion of unconsumed feed, and carbon content in feed and fish feces. The relationship can be used to estimate the PCC of floating net cages imposing a threshold value for deposition. Results of in-situ assessments of the benthic impacts of several fish farms in an aquaculture site in the northwest of Bali, Indonesia were used to validate and demonstrate the effectiveness of the method. Predicted results were able to clearly identify fish farms operating beyond ecologically sustainable carrying capacity. The proposed method has broad applicability and could help make decisions regarding the estimation of production potential of individual farms in pristine areas, for providing first estimates in sites that have scarce data, and for assessment, expansion, and optimization of the currently operating aquaculture sites in Southeast Asia, China and potentially other data-poor island nations. As the method relies on dynamic models, it enables straightforward assessments over the entire aquaculture region.     

2000年来中国水产养殖发展趋势和方向

中国是世界最大的水产养殖国家，为全球粮食安全和营养供应做出了重要贡献。在新的社会发展阶段，中国水产养殖需要解决与粮食安全、减贫和提供就业、食品安全和环境保护等相关的复杂且敏感的问题，以期达到更加可持续地发展。本文系统综述了2000年来中国水产养殖发展趋势、存在问题和发展方向。中国水产养殖业自2000年以来获得了持续的发展，集约化水平不断提高，新增的特种养殖品种使得产业多样化水平增加，一些传统的养殖模式逐渐消失，而新的养殖技术和模式不断涌现。中国水产养殖的变化和发展响应了社会发展对水产养殖业的需求。然而中国水产养殖目前仍面临诸如生态环境、科技水平、产品供应结构、小农生产和政策风险等亟待解决的问题。随着中国社会发展和经济水平不断进步，发展水产养殖的主要侧重点也逐渐从提供食物到提供就业和发展经济，再到环境保护和食品安全。中国水产养殖业需要充分利用最新的设施装备技术、信息技术、遗传育种技术、营养饲料和病害防治技术促进水产养殖业发展，努力提高水产养殖业规模化和组织化，促进渔业“一、二、三产”协同发展，并在新形势下逐渐走向国际化和可持续发展的道路。     

多营养层次生态养殖模式简析

系统介绍了多营养层次生态养殖模式在淡水养殖及海水养殖中的应用与发展,对比了国内外有关该养殖模式发展方向的异同,简述了该养殖模式通过提高物质和空间利用率、改善养殖环境的原理以及在我国推广应用情况,并汇总了我国沿海省份近年来开展该养殖模式选用的品种搭配及产量产值。指出了多营养层次生态养殖模式还存在的问题,对今后发展提出了建议。     

水产养殖尾水初沉区中净化材料的应用对微生物酶活性的影响

通过检测除氮型改性凹凸棒土（Al@TCAP-N）和火山石的内部及周围水体有关氮、磷、有机物分解的酶活性和水质指标，利用高通量测序对材料和水体中的细菌和真菌进行分析，以研究尾水处理系统初沉区中水质净化材料处理尾水营养盐的机制。结果表明，Al@TCAP-N和火山石能增加其周围水体微生物碱性磷酸酶（AKP）、硝酸盐还原酶（Nar）活性；火山石能在早期（0~6 h）提高其内部有机磷水解酶（OPH）、氨单加氧酶（AMO）的活性；Al@TCAP-N能在后期（36~48 h）增加其内部脱氢酶（DHO）的活性；净化材料相互对比发现，火山石内部的酶活性整体高于Al@TCAP-N内部的酶活性；本试验表明水质处理最佳时间为36 h，总氮（TN）、总磷（TP）、高锰酸盐指数（COD_Mn）的去除率分别为22.61%、9.52%和22.16%。在实际应用过程中，可通过Al@TCAP-N的吸附和火山石负载的微生物的双重作用降低水中营养盐的含量。浮霉菌门（Planctomycetes）、变形菌门（Protepbacteria）、拟杆菌门（Bacteroidetes）和壶菌门（Chytridiomycota）分别是材料表面微生物细菌和真菌中的主要门类。火山石能在净化初期促进有机磷化合物分解和硝态氮（NO₃^--N）转化为亚硝态氮（NO₂^--N），Al@TCAP-N在净化后期促进有机物的分解。Al@TCAP-N和火山石能促进水体中含磷化合物的分解和氮的转化。     

Implementation of an easily reconfigurable dynamic simulator for recirculating aquaculture systems

Methodology of Programmable Process Structures has been implemented and applied for the flexible automatic generation and simulation of Recirculating Aquaculture Systems. First, we implemented and validated the model for a pilot unit, based on short time experiments with Common carp (Cyprinus carpio), utilizing data and functionalities from the literature. Afterwards, starting from this model we generated a hypothetical single tank model of simulated increasing volume, to demonstrate how it supports the simplified, preliminary analysis, design and control of the possible multi-stage systems. We showed that the simulation of a single tank with an appropriately increasing volume makes possible to study the various control strategies, as well as to design the structure and the grading strategy of the multi-stage systems, without an increased combinatorial complexity. In the knowledge of the simulated increasing volume, we determined the volumes of subsequent stages by equidistant partitioning of the rearing time, algorithmically. Considering the available (or planned) tank volumes, this method makes possible to design a multi-stage system that approximately corresponds to the previously optimized single tank model. This conclusion was illustrated by the generation and simulation of the model for the respective multi-stage system.     

基于大型渔业平台的深远海渔业发展现状与思考

基于渔业产业现状,分析国内外在大型渔业平台、深海网箱和养殖工船方面的发展现状,提出“游弋式”养殖工船及深远海渔业的基本概念。受限于投资成本、技术发展水平等客观因素,中国深远海养殖发展速度缓慢,但近年来取得了一定的发展成效。笔者针对现阶段渔业粗放型生产方式的现状,从国家战略、渔业改革和产业需求等角度分析深远海渔业发展的必要性,认为发展以养殖工船为代表的深远海大型渔业平台是实现渔业强国之路的有效途径之一,走出一条符合中国国情的深远海渔业平台的开发之路势在必行。     

Research of dissolved oxygen prediction in recirculating aquaculture systems based on deep belief network

Recirculating aquaculture has received more and more attention because of its high efficiency of treatment and recycling of aquaculture wastewater. The content of dissolved oxygen is an important indicator of control in recirculating aquaculture, its content and dynamic changes have great impact on the healthy growth of fish. However, changes of dissolved oxygen content are affected by many factors, and there is an obvious time lag between control regulation and effects of dissolved oxygen. To ensure the aquaculture production safety, it is necessary to predict the dissolved oxygen content in advance. The prediction model based on deep belief network has been proposed in this paper to realize the dissolved oxygen content prediction. A variational mode decomposition (VMD) data processing method has been adopted to evaluate the original data space, it takes the data which has been decomposed by the VMD as the input of deep belief network (DBN) to realize the prediction. The VMD method can effectively separate and denoise the raw data, highlight the relations among data features, and effectively improve the quality of the neural network input. The proposed model can quickly and accurately predict the dissolved oxygen content in time series, and the prediction performance meets the needs of actual production. When compared with bagging, AdaBoost, decision tree and convolutional neural network, the VMD-DBN model produces higher prediction accuracy and stability.     

EM菌在水产养殖中的应用概述

为了能改善水质、渔业增殖和修复生态环境,EM菌的应用得到了广泛的关注,成为近几年研究的热点。鉴于此,本研究系统梳理了EM菌的定义及来源,综述了国内外近几十年EM菌在水产养殖中的作用效果及其作用机理,阐述了影响EM菌作用效果的因素等;发现EM菌在调控微生物生态结构、降低水环境中有害物质、提高免疫、增重增产等方面有着显著的效果,但EM菌技术的基础理论研究还比较薄弱,且生产技术及应用过程等还存在着不足。因此今后应提高生产技术,建立和提高筛选系统,并开发EM菌在水产养殖研究和应用的新领域,为水产养殖创造更大的经济价值,并为可持续养殖提供可能。     

Performance of Mixed Species and Mono‐specific Algal Diets for Culture of Larval Western School Prawns,Metapenaeus dalli

The effect of three mono‐specific and four combinations of the diatoms Chaetoceros muelleri, Chaetoceros calcitrans, and the chlorophyte Tetraselmis suecica on survival, development, and dry weight of the western school prawn, Metapenaeus dalli, was assessed from protozoea I until mysis I. The development and dry weight of larvae were significantly greater when fed diets comprising C. muelleri and/or T. suecica. A fourth diet, consisting of all three microalgal species also performed just as well. Survival alone was a poor measure of the performance of the various diets. Larvae fed with C. calcitrans, either alone or in a mixed diet with either C. muelleri or T. suecica, had significantly slower development and lower dry weight. Overall performance, assessed using the normalized biomass development index, determined that both mono‐specific and mixed diets containing C. muelleri and T. suecica were among the best for M. dalli larvae. These results for M. dalli are consistent with those found for commercially grown penaeid prawns. This study enhances the limited knowledge on the feeding requirements of metapenaeid prawn larvae. Moreover, the results will help improve hatchery methods for the aquaculture‐based enhancement of M. dalli in the Swan‐Canning Estuary and potentially increase the abundance of this iconic recreational species.