南美洲鳗鲡(Anguilla rostrata)的耗氧率(ROC)、窒息点(AP)和适温范围(RT)及对非离子氨(NIA)、NO2-的LC50和SC的研究     

杨小东  江兴龙  乐普敏  龚铭杰 《海洋与湖沼》2019,50(2):455-464

为研究南美洲鳗鲡(Anguillarostrata)的耗氧率及其对水温、低溶氧、非离子氨和亚硝酸盐耐受性,本研究采用自制的鱼类呼吸装置测定其耗氧率和窒息点,以黑仔鳗为试验材料,探索其对水温、非离子氨、亚硝酸盐耐受性。结果表明,南美洲鳗鲡耗氧率存在昼夜变化,其昼间耗氧率为(86.46±37.77)mg/(kgh),夜间耗氧率为(123.58±22.56)mg/(kgh),二者存在显著性差异(P0.05);在15—30°C范围内,耗氧率随温度升高逐渐增大,耗氧率和水温的回归方程y=–0.1316x2+9.4507x–13.712(R2=0.9993);南美洲鳗鲡的耗氧率随体质量增大而降低,耗氧量随体质量增加而增大,耗氧量和体重的回归方程为y=0.2321x0.8334(R2=0.9979);在水温25°C时其窒息点随鱼体质量的增大而降低,均重10g、40g和160g的鳗鲡窒息点溶解氧浓度分别为(0.98±0.25)、(0.46±0.06)和(0.32±0.02)mg/L;13—29°C为南美洲鳗鲡的适温范围,25—29°C为其生长适宜水温,在一定范围内的短时低水温或高水温环境对其损伤是可逆的;水中非离子氨对南美洲鳗鲡的LC50和SC分别为12.22mg/L和1.22mg/L,亚硝酸盐氮对南美洲鳗鲡的LC50和SC分别为61.68mg/L和6.17mg/L。  相似文献   

Risk Analysis of Breakwater Caisson Under Wave Attack Using Load Surface Approximation     

Dong Hyawn KIM 《中国海洋工程》2014,(6):739-748

A new load surface based approach to the reliability analysis of caisson-type breakwater is proposed. Uncertainties of the horizontal and vertical wave loads acting on breakwater are considered by using the so-called load surfaces, which can be estimated as functions of wave height, water level, and so on. Then, the first-order reliability method（FORM） can be applied to determine the probability of failure under the wave action. In this way, the reliability analysis of breakwaters with uncertainties both in wave height and in water level is possible. Moreover, the uncertainty in wave breaking can be taken into account by considering a random variable for wave height ratio which relates the significant wave height to the maximum wave height. The proposed approach is applied numerically to the reliability analysis of caisson breakwater under wave attack that may undergo partial or full wave breaking.  相似文献   

Conditional statistics of Reynolds shear stress in flow over 2D dunes in the presence of surface waves          下载免费PDF全文

Satya P. Ojha 《水文研究》2014,28(18):4829-4842

This study presents the analysis of the velocity fluctuations to describe the conditional statistics of Reynolds shear stress in flow over two‐dimensional dunes in the presence of surface waves of varying frequency. The flow velocity measurements over the dunes are made using a 16‐MHz 3D acoustic Doppler velocimeter. The joint probability distributions of the normalized stream‐wise and vertical velocity fluctuations at different vertical locations are calculated in the trough region of a selected dune in quasi‐steady region of the flow. Third‐order moments of the stream‐wise and vertical velocity components over one dune length are also calculated throughout the flow depth for understanding the effect of surface waves on relative contributions to the Reynolds shear stress due to the four quadrant events. The structure of instantaneous Reynolds stresses is analysed using quadrant analysis technique. It has been shown that the contributions of second and fourth quadrant events to the Reynolds shear stress increase with increase in the frequency of surface waves. In fact, the largest contribution to turbulent stresses comes from the second quadrant. The cumulant discard method is applied to describe the statistical properties of the covariance term u′w′. Conditional statistics and conditional sampling are used to compare the experimental and theoretical relative contributions to the Reynolds shear stress from the four quadrant events. Copyright © 2013 John Wiley & Sons, Ltd.  相似文献   

Hydrodynamic Performance of the Arc-Shaped Bottom-Mounted Breakwater     

楚玉川  程建生  王景全  李志刚  江克斌 《中国海洋工程》2014,(6):749-760

The problem of the hydrodynamic interaction with the arc-shaped bottom-mounted breakwaters is investigated theoretically. The breakwater is assumed to be rigid, thin, impermeable and vertically located in a finite water depth. The fluid domain is divided into two sub-regions of inner and outer by an auxiliary circular interface. Linear theory is assumed and the eigenfunction expansion approach is used to determine the wave field. In order to examine the validity of the theoretical model, the analytical solutions are compared to agree well with published results with the same parameters. Numerical results including wave amplitude, surge pressure, and wave force are presented with different model parameters. The major factors including wave parameters, structure configuration, and water depth that affect the surge pressure, wave forces, and wave amplitudes are discussed and illustrated by some graphs and cloud maps.  相似文献   

不同荷载条件下冻土融化沉降过程试验研究   总被引：2，自引：1，他引：1  

黄永庭  马巍  何鹏飞  栗晓林 《冰川冻土》2021,43(1):184-194

融沉是困扰多年冻土区工程建设与安全运营的关键因素之一。通过室内试验,针对两种初始干密度不同的青藏粉质黏土,在-8~24 ℃之间正弦波动的周期温度边界条件下,分别开展了无荷载、静荷载及动荷载作用下冻结饱和试样的融沉试验（试样的初始温度为-1 ℃）,研究了试样内部温度、变形、孔隙水压力的时间变化过程。结果表明：温度边界相同时,在不同荷载作用下试样内部温度响应过程差异显著,反映了荷载对冻土融化速率的影响。在无荷载作用下,试样的竖向变形呈线性发展趋势,每次冻融过程中的融沉变形变化不大。在静荷载和动荷载作用下,试样的竖向变形呈先快速增加后逐渐稳定的趋势,且融化沉降变形主要发生在前3~4个冻融循环过程。试验结束时,在静、动荷载作用下试样最终变形量大于无荷载作用下,且干密度较小时竖向变形较大。在动荷载作用下,试样内部孔隙水压力变化幅度大于静荷载,且在前3次冻融循环过程中,动荷载作用下试样内部孔隙水压力消散数值大于静荷载,之后随着冻融循环次数的增加两者差异逐渐减小。试样融沉变形过程与温度变化、孔隙水压力的积累和消散过程密切相关。试验结果可为复杂边界条件下融化固结理论研究和工程中地基土体的融沉变形预测提供依据。  相似文献   

1961—2019年青藏高原中东部夏季强降水与大尺度环流的关系     

曹瑜  游庆龙  蔡子怡 《冰川冻土》2021,43(5):1290-1300

采用一元线性回归、合成分析等方法对1961—2019年青藏高原中东部71个站点夏季强降水与大尺度环流进行了分析,研究结果表明,近年来青藏高原中东部强降水呈增加趋势。在强降水高值年时,青藏高原中东部水汽辐合加强,中纬度西风和热带地区东风带向极移动加强,高层辐散流场、水汽输送以及上升运动条件,共同作用导致了强降水的产生。在强降水低值年时,青藏高原中东部大部水汽异常辐散,区域内的季风水汽输送减弱,西风带和东风带均向赤道移动减弱,高层为气旋式环流异常。通过风暴轴、波作用通量和E-P通量进一步分析发现,当北大西洋地区风暴轴偏强（偏弱）时,瞬变扰动作用加强（减弱）,使得北大西洋地区高纬度西风加速（减弱）,急流出口区的不稳定能量激发了欧洲西北部的异常反气旋（异常气旋）,并通过Rossby波列调控季风输送,导致了青藏高原中东部地区强降水的变化。  相似文献   

利用滨海地下水系统对双频潮汐的响应识别含水层压力传导系数     

代希勤  阳玲  张铭  王同科  赵志学  郝永红 《水文》2021,41(1):66-72

含水层的压力传导系数是地下水溶质运移及扩散的重要参数,通常压力传导系数由抽水试验确定,即通过抽水给地下水系统一个扰动,然后监测地下水水位的响应,进而计算压力传导系数。对滨海地区含水层来说,潮汐波动就是天然的抽(注)水试验。潮汐由不同频率的分潮构成,前两项主频潮汐基本可代表潮汐主要特征。利用地下水水位对潮汐的响应,识别含水层压力传导系数。在推导出地下水对双频潮汐响应的解析解的基础上,提出了潮汐信号衰减法识别压力传导系数,并做了敏感性分析。通过对数值解叠加高斯噪音信号进行参数估算,证明该方法估算压力传导系数具有较高的可靠性和实用性。  相似文献   

土工试验规范变更对膨胀计算和判定的影响     

刘军  石鹏飞  孙凯 《岩土工程技术》2021,(2):134-136,F0003

对土工试验方法标准的新旧规范中无荷膨胀率和有荷膨胀率的变化内容进行对比分析,发现两者的计算公式发生显著变化,新规范的计算结果与旧规范相比,膨胀率明显变大,膨胀量随之增大,这将对工程勘察、设计、施工等产生明显影响。以某工程为例,新规范计算后地层总膨胀量由旧规范的16.7 mm变为51.8 mm,增加了2倍左右,地基土的胀缩等级由Ⅰ级变为Ⅱ级,地基基础设计等级由丙级变为乙级,地基处理措施和施工方案随之也发生改变。因此,工程技术人员对此应综合考虑,严谨对待。  相似文献   

A novel index to evaluate discretization methods:A case study of flood susceptibility assessment based on random forest     

Xianzhe Tang  Takashi Machimura  Wei Liu  Jiufeng Li  Haoyuan Hong 《地学前缘(英文版)》2021,12(6):313-325

The selection of a suitable discretization method(DM)to discretize spatially continuous variables(SCVs)is critical in ML-based natural hazard susceptibility assessment.However,few studies start to consider the influence due to the selected DMs and how to efficiently select a suitable DM for each SCV.These issues were well addressed in this study.The information loss rate(ILR),an index based on the informa-tion entropy,seems can be used to select optimal DM for each SCV.However,the ILR fails to show the actual influence of discretization because such index only considers the total amount of information of the discretized variables departing from the original SCV.Facing this issue,we propose an index,infor-mation change rate(ICR),that focuses on the changed amount of information due to the discretization based on each cell,enabling the identification of the optimal DM.We develop a case study with Random Forest(training/testing ratio of 7:3)to assess flood susceptibility in Wanan County,China.The area under the curve-based and susceptibility maps-based approaches were presented to compare the ILR and ICR.The results show the ICR-based optimal DMs are more rational than the ILR-based ones in both cases.Moreover,we observed the ILR values are unnaturally small(＜1％),whereas the ICR values are obviously more in line with general recognition(usually 10％-30％).The above results all demonstrate the superiority of the ICR.We consider this study fills up the existing research gaps,improving the ML-based natural hazard susceptibility assessments.  相似文献   

Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks     

Xin Wei  Lulu Zhang  Hao-Qing Yang  Limin Zhang  Yang-Ping Yao 《地学前缘(英文版)》2021,12(1):453-467

Knowledge of pore-water pressure(PWP)variation is fundamental for slope stability.A precise prediction of PWP is difficult due to complex physical mechanisms and in situ natural variability.To explore the applicability and advantages of recurrent neural networks(RNNs)on PWP prediction,three variants of RNNs,i.e.,standard RNN,long short-term memory(LSTM)and gated recurrent unit(GRU)are adopted and compared with a traditional static artificial neural network(ANN),i.e.,multi-layer perceptron(MLP).Measurements of rainfall and PWP of representative piezometers from a fully instrumented natural slope in Hong Kong are used to establish the prediction models.The coefficient of determination(R^2)and root mean square error(RMSE)are used for model evaluations.The influence of input time series length on the model performance is investigated.The results reveal that MLP can provide acceptable performance but is not robust.The uncertainty bounds of RMSE of the MLP model range from 0.24 kPa to 1.12 k Pa for the selected two piezometers.The standard RNN can perform better but the robustness is slightly affected when there are significant time lags between PWP changes and rainfall.The GRU and LSTM models can provide more precise and robust predictions than the standard RNN.The effects of the hidden layer structure and the dropout technique are investigated.The single-layer GRU is accurate enough for PWP prediction,whereas a double-layer GRU brings extra time cost with little accuracy improvement.The dropout technique is essential to overfitting prevention and improvement of accuracy.  相似文献