饲喂频率对奥尼罗非鱼仔稚鱼生长、体成分和消化酶活力的影响   总被引：2，自引：0，他引：2  

强俊  王辉  李瑞伟  彭俊 《广东海洋大学学报》2009,29(4):79-83

研究在(28.0±1)℃条件下,5种不同饲喂频率对奥尼罗非鱼(Oreochromis niloticus×O.aureus)仔稚鱼的生长、体成分及几种消化酶活力的影响。结果显示:随着饲喂频率的增加,奥尼罗非鱼仔稚鱼的摄食率和特定生长率逐步提高,1次/d组的摄食率和特定生长率显著低于其他组(P<0.05);2、3、4、5次/d组的相对增重率之间差异不显著(P>0.05),但显著高于1次/d组;各组的饲料转化率随饲喂频率的增加而降低;胃蛋白酶、脂肪酶和淀粉酶活力随饲喂频率的增加而显著降低(P<0.05);各组胰蛋白酶变化差异不明显(P>0.05);随饲喂频率的增加,奥尼罗非鱼仔稚鱼的灰分和蛋白质含量无显著变化(P>0.05);脂肪含量显著上升,水分含量则明显下降(P<0.05)。分析表明,奥尼罗非鱼仔稚鱼最适饲喂频率为3次/d。  相似文献   

Screening of eye-position related genes with DD-RT-PCR and RDA in the hybrids between Japanese flounder Paralichthys olivaceus and stone flounder Kareius bicoloratus     

陈妍婕  张全启  齐洁  孙业盈  钟其旺  王旭波  王志刚  李朔  李春梅 《中国海洋湖沼学报》2009,27(1)

Flatfish or flounder moves one eye to change body proportion into vertebral asymmetry during metamorphosis, during which some become sinistral while others dextral. However, the mechanism behinds the eye-position has not been well understood. In this research, hybrids between Japanese flounder(♀) and stone flounder (♂) show mixed eye-location in both dextral type and sinistral type, and thus become good samples for studying the eye-migration. mRNAs from pro-metamorphosis sinistral and dextral hybrids larvae...  相似文献   

基于粗集理论的教学质量评价模型研究   总被引：2，自引：0，他引：2  

匡胤 《成都信息工程学院学报》2008,23(3):261-264

为了克服用线性模型对教学质量进行评价存在的不足,提出一种基于粗集理论的智能专家系统作为教学质量评价的模型。利用Salvatore Greco等提出的补齐算法,可以将知识表达系统中缺失的数据进行补齐。实例数据表明,该模型在保持教学质量评价模糊性的同时,能对教学质量做出比较一致的评价。  相似文献   

温度对奥尼罗非鱼仔稚鱼生长、饲料利用和消化酶活力的影响   总被引：1，自引：0，他引：1  

王辉  强俊  李瑞伟 《广东海洋大学学报》2008,28(6)

研究了温度22、25、28、31和34℃下奥尼罗非鱼(Oreochromis niloticus×O.aureus)仔稚鱼生长、饲料利用和消化酶活力。结果表明:1)不同温度对奥尼罗非鱼仔稚鱼生长有显著影响(P<0.05),温度为31℃时,仔稚鱼生长速度和绝对增重率最高,分别为0.08cm/d和0.035g/d;温度为22℃时最低,仅0.06cm/d和0.020g/d。2)饲料系数在28℃时最低,仅1.90;22和34℃时较高,达2.14和2.17,各组差异显著(P<0.05)。3)在仔稚鱼发育和存活率上,当温度在22～34℃时,温度越高,仔稚鱼发育越好;各组仔稚鱼的存活率介于93.7%～94.7%,差异不显著(P>0.05)。4)在消化酶活力上,胃蛋白酶、胰蛋白酶和淀粉酶活力随温度升高而升高,均在34℃时活力最高;脂肪酶活力在31℃时达到最高,22℃时活力最低。  相似文献   

Machine learning for accelerating 2D flood models: Potential and challenges     

Behzad Jamali  Ehsan Haghighat  Aleksandar Ignjatovic  João P. Leitão  Ana Deletic 《水文研究》2021,35(4):e14064

Two-dimensional hydrodynamic models numerically solve full Shallow Water Equations (SWEs). Despite their high accuracy, these models have long simulation run times and therefore are of limited use for exploratory or real-time flood predictions. We investigated the possibility of improving flood modelling speed using Machine Learning (ML). We propose a new method that replaces the computationally expensive parts of the hydrodynamic models with simple and efficient data-driven approximations. Our hypothesis is that by integrating ML with physics-based numerical methods, we can achieve improved generalization performance: that is, the trained model for one case study can be used in other studies without the need for new training. We tested two ML approaches: for the first, we integrated curve fitting, and, for the second, artificial neural networks (ANN) with a finite volume scheme to solve the local inertial approximation of the SWEs. The data-driven models approximated the Momentum Equation, which explicitly solved the time derivative of flow rates. Water depths were then updated by applying a water balance equation. We also tested two different training datasets: the simulated dataset, generated from the results of hydrodynamic model, and the random dataset, generated by directly solving the momentum equation on randomly sampled input data. Various combinations of input features, for example, water slope and depth, were explored. The proposed models were trained in a small hypothetical case and tested in a different hypothetical and in two real case studies. Results showed that the curve-fitting method can be implemented successfully, given sufficient training and input data. The ANN model trained with a random dataset was substantially more accurate than that of the model trained with the simulated dataset. However, it was not successful in the real case studies. The curve-fitting method resulted in better generalization performance and increased the simulation speed of the local inertial model by 23%. Future research should test the performance of ML in terms of an increase in stable time step size and approximation of the full SWEs.  相似文献   

Spatially distributed long‐term hydrologic simulation using a continuous SCS CN method‐based hybrid hydrologic model          下载免费PDF全文

Younghyun Cho  Bernard A. Engel 《水文研究》2018,32(7):904-922

A continuous Soil Conservation Service (SCS) curve number (CN) method that considers time‐varied SCS CN values was developed based on the original SCS CN method with a revised soil moisture accounting approach to estimate run‐off depth for long‐term discontinuous storm events. The method was applied to spatially distributed long‐term hydrologic simulation of rainfall‐run‐off flow with an underlying assumption for its spatial variability using a geographic information systems‐based spatially distributed Clark's unit hydrograph method (Distributed‐Clark; hybrid hydrologic model), which is a simple few parameter run‐off routing method for input of spatiotemporally varied run‐off depth, incorporating conditional unit hydrograph adoption for different run‐off precipitation depth‐based direct run‐off flow convolution. Case studies of spatially distributed long‐term (total of 6 years) hydrologic simulation for four river basins using daily NEXRAD quantitative precipitation estimations demonstrate overall performances of Nash–Sutcliffe efficiency (E_NS) 0.62, coefficient of determination (R²) 0.64, and percent bias 0.33% in direct run‐off and E_NS 0.71, R² 0.72, and percent bias 0.15% in total streamflow for model result comparison against observed streamflow. These results show better fit (improvement in E_NS of 42.0% and R² of 33.3% for total streamflow) than the same model using spatially averaged gauged rainfall. Incorporation of logic for conditional initial abstraction in a continuous SCS CN method, which can accommodate initial run‐off loss amounts based on previous rainfall, slightly enhances model simulation performance; both E_NS and R² increased by 1.4% for total streamflow in a 4‐year calibration period. A continuous SCS CN method‐based hybrid hydrologic model presented in this study is, therefore, potentially significant to improved implementation of long‐term hydrologic applications for spatially distributed rainfall‐run‐off generation and routing, as a relatively simple hydrologic modelling approach for the use of more reliable gridded types of quantitative precipitation estimations.  相似文献   

A new hybrid vertical coordinate ocean model and its application in the simulation of the Changjiang diluted water   总被引：2，自引：0，他引：2  

张文静  朱首贤  董礼先  张长 《中国海洋工程》2011,25(2):327-338

Based on the analysis of the advantages and disadvantages of some vertical coordinates applied in the calculation of the Changjiang diluted water(CDW),a new hybrid vertical coordinate is designed,which uses σ coordinate for current and σ-z coordinate for salinity.To combine the current and salinity,the Eulerian-Lagrangian method is used for the salinity calculation,and the baroclinic pressure gradient(BPG) is calculated on the salinity sited layers.The new hybrid vertical coordinate is introduced to the widely used model of POM(Princeton Ocean Model) to make a new model of POM-σ-z.The BPG calculations of an ideal case show that POM-σ-z model brings smaller error than POM model does.The simulations of CDW also show that POM-σ-z model is better than POM model on simulating the salinity and its front.  相似文献   

集合滤波和三维变分混合数据同化方法研究   总被引：2，自引：0，他引：2  

吴新荣  韩桂军  李冬  李威 《热带海洋学报》2011,(6)

发展了一种新的混合数据同化方法——基于集合滤波和三维变分的混合数据同化方法。该方法将集合调整卡尔曼滤波(ensemble adjustment Kalman filter,EAKF)得到的集合样本扰动通过一个转换矩阵的形式直接作用到背景场上,利用顺序滤波的思想得到分析场的一个扰动;然后在三维变分(three dimensional variational analysis,3D-Var)的框架下与观测数据进行拟合,从而给出分析场的最优估计。文中以Lorenz63模型为例,开展了理想数据同化试验,结果表明,相比于集合调整卡尔曼滤波,这种新的混合同化方法可以给出更好的同化结果。  相似文献   

海量地铁隧道点云数据管理与Web快速可视化方法     

梅文胜  李天骄  于安斌 《测绘地理信息》2021,46(2):1-6

传统点云处理软件为单机运行,Web点云应用较少,随着5G与WebGL技术的发展,3D Web应用的开发是未来的发展趋势.在地铁隧道工程中,实现隧道点云的快速处理与可视化是重要的需求之一.为满足地铁隧道点云的Web可视化需求,针对地铁隧道点云空间分布特点实现了一种格网与多分辨率八叉树结合的海量地铁隧道点云数据索引模型.采...  相似文献   

基于有限差分法的复合系泊链缆动力模型及其验证     

李欣怡  于立伟 《海洋工程》2023,41(4):22-37

具有链—缆—链结构的复合系泊链缆因其相对于全钢链质量和成本上的优势而在深水系泊中得以广泛应用。基于细长杆理论采用有限差分法建立了可以考虑链—缆—链结构的复合系泊缆数值模型,将其应用于不同工况下全钢链和复合链缆运动的数值模拟中,并开展了验证。首先,将单根钢链顶张力数值模拟结果与不同工况下的模型试验结果进行了对比,验证了数值预报程序应用于全钢链的准确性。然后,对于复合系泊链缆开展了静刚度和动刚度迭代数值模拟,并将模拟结果同已发表文章中的算例结果进行比较,验证了该数值模型在复合链缆模拟上的准确性。发现对于单根钢锚链的验证,激励半径越大,激励周期越小,一个周期内顶张力幅值及其极差越大,钢链运动就越剧烈。对于链—缆—链式复合系泊链缆的验证,发现静刚度迭代中数值模拟结果与算例结果差异较小;对于动刚度迭代,除个别大幅慢漂工况外,两者有较高的吻合;且激励周期越小,激励半径越大,复合系泊链缆顶张力越大,弹性模量越小,运动越剧烈。对于聚酯缆刚度的敏感性分析,发现改变动刚度经验公式参数的情况下,杨氏模量的静刚度迭代和动刚度迭代结果误差分别最大达到了60.81%和68.21%,因此合成纤维材料特性对复合系泊链...  相似文献