Performance evaluation of venturi aeration system

The venturi aeration is an effective practice to increase the dissolved oxygen accessibility in the water bodies. This study aims to optimize the various geometrical parameters of the venturi aeration system. A non-dimensional technique was applied to find the optimum performance of various geometric parameters i.e. throat lengths (t_l), number of air holes (N), and converging and diverging angles (α and β). These experiments have been carried out using 1124 L capacity of tank having dimensions of 105 cm long, 105 cm wide and 102 cm deep. The experiments were conducted at a constant flow velocity of water (1.096 m/s) with varying throat length (t_l = 20–100 mm keeping 20 mm as interval between two consecutive length), number of air holes (N = 1–17 at an equal hole to hole distance of 5 mm between them), and converging and diverging angles (α and β = 10°, 15°, 20° and 25°). Multiple non-linear regression equations were also developed from the linear relation with the dependent variable (Non-dimensional form of standard aeration efficiency, NDSAE) and independent variables (t_l and N). With the geometrically optimized venturi aerator the optimum performance was found for t_l =100 mm, N = 17, and α and β = 15°. The maximum value of standard oxygen transfer rate (SOTR) and standard aeration efficiency (SAE) obtained was 0.0216 kgO₂/h and 0.611 kgO₂/kWh respectively. From the non-dimensional study, it was found that the NDSAE is the function Reynolds number (Re) and Froude number (Fr). The simulation equations were developed on the basis of Re and Fr for NDSAE, and subjected to 7.378 × 10⁻⁶ < Re < 3.689 × 10^-5 and 0.163 < Fr < 0.817, respectively.     

岩溶流域典型农业区水体氢氧同位素的空间异质性及形成机制

分别于平水期和枯水期采集了花溪河流域典型农业区地表水和地下水样品。利用氢氧同位素示踪技术,结合土地利用类型对研究区不同水体的补给来源、季节变化及主要影响过程进行了分析,并对不同水体氢氧同位素值进行了空间插值分析,同时对其形成机制进行了分析,阐明了不同土地利用类型影响下的主要水文过程。结果表明:(1)研究区不同水体的主要补给来源为当地大气降水,月亮湖水库受蒸发作用影响明显,地表水和地下水的δD和δ~(18)O整体上呈现平水期高于枯水期的特征。(2)地下水的δD和δ~(18)O在枯水期与平水期均呈现明显的空间分异性特征,西部水田/水库集中区富集,东部旱地集中区贫化,土地利用对研究区环境水文过程影响明显。该研究结果有助于了解不同土地利用方式下地表水对地下水的影响,为流域管理提供科学依据。     

PEI/APP改性脲醛树脂制备阻燃胶合板及性能

以聚乙烯亚胺(PEI)为改性剂处理聚磷酸铵(APP)制备得到APP@PEI阻燃体系,并将其加入到脲醛树脂(UF)中,制备阻燃胶合板。研究了APP@PEI对UF胶黏剂理化性能的影响,并进一步探讨其对胶合性能及阻燃性能的影响。结果表明:APP、PEI和APP@PEI对UF的黏度、pH和固化时间均有影响。当APP添加量为10%时,UF的黏度由3.843 Pa·s上升至8.270 Pa·s,pH降至5.67,固化时间由91 s降至87 s;当PEI添加量为0.91%时,由于UF体系中支化和交联程度增加,黏度上升至41.433 Pa·s,pH和固化时间分别提升至9.91和116.3 s;而APP@PEI能降低对UF各项性能的影响,添加10%APP@PEI时UF的黏度、pH和固化时间分别为5.966 Pa·s、6.33和94.3 s。添加APP后,胶合板的胶合强度均低于Ⅱ类胶合板强度标准(0.7 MPa);添加PEI后,胶合板的胶合强度能够提升18%以上;APP@PEI添加量为10%时,胶合板的胶合强度达0.85 MPa,高于Ⅱ类胶合板强度标准要求。添加APP、PEI和APP@PEI对胶合板的阻燃性能有不同影响,单独添加PEI无法改善胶合板的阻燃性能,当APP和APP@PEI添加量为10%,15%和20%时,胶合板的极限氧指数(LOI)分别比未添加阻燃剂时提高0.8%,2.0%,2.5%和1.2%,2.2%,3.1%。     

主成分分析和长短时记忆神经网络预测水产养殖水体溶解氧

为了提高水产养殖溶解氧预测的精度,提出了基于主成分分析(principal component analysis,PCA)和长短时记忆神经网络(long short-term memory,LSTM)的水产养殖溶解氧预测模型。首先通过主成分分析提取水产养殖溶解氧的关键影响因子,消除了原始变量之间的相关性,降低了模型输入向量维度;然后,在Tensorflow深度学习框架的基础上建立LSTM神经网络的水产养殖溶解氧预测模型;最后,利用该模型对浙江省淡水水产养殖研究所综合实验基地某池塘溶解氧进行验证。试验结果表明:该模型与BP神经网络等其他浅层模型相比,模型评价指标平均绝对误差、均方根误差和平均绝对误差分别为0.274、0.089和0.147,均优于传统的预测方法;该模型具有良好的预测性能和泛化能力,能够满足水产养殖溶解氧精确预测的实际需要,可以为水产养殖水质精准调控提供参考。     

不同光质LED光源对鱼腥草幼苗膜脂过氧化及抗氧化酶的影响

以鱼腥草为材料,以日光灯处理为对照,分析了不同光质LED光源(白、红、黄、绿、蓝LED灯)对鱼腥草叶片活性氧、类黄酮含量及抗氧化酶的影响。结果表明,蓝光下叶片中TBARS(硫代巴比妥酸)含量最高,较对照高30.18%,与希夫试剂染色结果相一致;过氧化氢产生最多,较对照高190.21%,与DAB染色结果一致;超氧阴离子产生速率在蓝光下最高,为对照组的1.54倍,白光下最低;蓝、绿光下脯氨酸含量是对照的2倍;蓝光和黄光处理下,黄酮含量较对照提高了21.4%。蓝、绿光提高了SOD2同工酶的表达,且在蓝光下最高;蓝、绿、红、黄光处理分别诱导了更多的POD基因位点的表达;不同LED光质均提高了CAT抗氧化酶活性,其中蓝、绿光下CAT同工酶的表达量明显高于对照。综上所述,蓝色光处理可以有效提高幼苗的抗氧化能力,可为鱼腥草品质的控制提供参考。     

运用生物能量学模型预测草鱼生长、饲料需求和污染排放

为预测不同生长阶段草鱼生长性能、饲料需求量和污染排放量,提高草鱼投喂管理水平,本研究运用特定增长率(SGR)、日增长率(DGC)、日均增重(ADG)和热积温系数(TGC)等生长模型计算草鱼在不同生长阶段的生长速率,并通过计算定期采样中实际观测值和预测值最小残差平方和法选出最优生长模型。饲料需求模型通过估算鱼类消化能需求量决定,根据能量收支原理,通过计算鱼体储积能(RE)、基础代谢能(He E)、摄食热增能(Hi E)以及尿液和鳃的代谢能(UE+ZE),来估算草鱼的消化能,再根据所用饲料的消化能含量来确定草鱼对饲料的需求量。草鱼污染物排放主要采用营养物质平衡法计算。在模型验证时,以粗蛋白分别为33%、28%、23%的饲料投喂不同生长阶段的草鱼,将草鱼体质量和饲料系数(FCR)的模型预测值与实际观测值进行比较。结果显示,与其他生长模型(SGR、ADG、DGC)相比,调整后的TGC模型能更精确预测草鱼的生长情况;草鱼体质量和FCR预测值与观测值之间显著相关;每生产1 t鱼(体质量为0.5~2 500 g),其消化能需求量约为1.55×107 k J,消耗1 t饲料或生产1 t鱼所排放的总固态污染物分别为440和623 kg。研究表明,该复合性营养模型可以有效地估计实际养殖中草鱼生长、饲料需求量和污染物排放量,有望为草鱼差异化上市、节省饲料成本、减少饲料浪费以及养殖场的污染评价提供有效的预判工具。     

Thermal tolerance of paralarvae of Patagonian red octopus Enteroctopus megalocyathus

Patagonian red octopus, Enteroctopus megalocyathus, is a merobenthic octopus whose paralarvae have been successfully cultured up to juvenile octopuses. At present, high mortality during the paralarval period prevents the scaling from experimental rearing to commercial aquaculture. The aim of the study was to determine upper (CTMax) and lower (CTMin) thermal tolerance, acclimation response ratio (ARR) and thermal tolerance polygon of paralarvae from different culture conditions and subjected to seven acclimation temperatures (6, 8, 10, 12, 14, 16, 18°C) during the first 5 days of paralarval life. Culture conditions were two types of egg incubation (maternal care and artificial incubators) and two feeding regimes (fed or starved). Fed paralarvae showed thermal preferendum, while unfed paralarvae preferred much higher temperatures than those of acclimation. CTMin and CTMax increased along with the acclimation temperature. Lower values of ARR were obtained in paralarvae from artificial incubation, with this type of paralarva showing the least adaptability to thermal changes. Starved paralarvae showed the lowest values for thermal tolerance range (TTR) and smaller areas of thermal polygon than fed paralarvae. Rearing temperatures above 16°C may be considered suboptimal to paralarvae and affected by the conditions during the embryonic incubation. Rearing temperatures below 8°C may be considered suboptimal for all hatched paralarvae. Therefore, the other temperatures within this range could be used in the context of improving the culture management of paralarvae.     

基于CROPWAT模型水稻需水量及灌溉制度研究

为研究黑龙江松嫩平原南部地区气候变化对水稻需水量影响及水稻不同灌溉制度,基于黑龙江省庆安县1966～2015年气象、土壤数据和水稻作物参数,采用Mann-Kendall趋势检验法分析水稻生育期内需水量变化规律,利用CROPWAT模型计算水稻各生育期需水量、有效降雨和灌溉需水量,对不同典型年份水稻需水量和有效降雨作耦合度分析,制定水稻灌溉制度。结果表明,生育期内水稻需水量在气象因素共同作用下以13.68 mm·10年-1速率下降,变化范围为410.8～574.6 mm;该地区特枯水年、枯水年、平水年和丰水年水稻需水量分别为521.0、484.9、451.8、410.8 mm;水稻在拔节和抽穗期需水量较大,两个时期需水量在不同水文年下差异明显;不同水文年下6、7、8月主要需水时期,需水量与有效降雨耦合度均小于1;同一水文年下灌溉定额均为淹水灌溉>"浅、湿"灌溉>干湿交替灌溉>控制灌溉,淹水灌溉灌溉次数最多,干湿交替灌溉模式灌溉次数最少;不同水文年下与淹水灌溉灌溉定额相比水稻"浅、湿"灌溉、干湿交替灌溉和控制灌溉节水效果明显,分别可节水6.3%～13.4%、29.1%～39.4%、30.6%～42.6%。有效降雨量难以满足水稻需水要求,在水稻生育期内应根据不同典型年选择合适灌溉制度灌溉,并在拔节孕穗、抽穗开花两个高耗水时期加强灌溉。     

茶树非主要农作物品种登记要求及进展

茶树品种是茶产业发展的基础。改革开放40年来我国育成了大批的优良茶树品种,为产业发展发挥了重要作用。新《种子法》和《非主要农作物品种登记办法》要求茶树进行非主要农作物品种登记。本文介绍了非主要农作物品种登记的对象、条件、需提交材料和登记程序,重点讨论了茶树品种登记前要准备的具体材料,简单分析了2018-2019年已经完成登记的48个茶树品种的基本情况,并对未来茶树品种登记提出了3点建议。