火龙果周年液流特征及其对环境因子的响应

为探明火龙果蒸腾规律,采用田间大棚试验,研究了4 a生火龙果树主茎的液流速率,并同步监测相关环境因子,分析其液流特征及其与各因子间的关系。结果表明：火龙果单日液流以春季（3-5月）最高（平均值11.95 g/h）,其次是冬季,最小是夏季,呈显著性季节变化;单日液流主要呈单峰曲线,峰值出现频率最多的时段是在10:00-13:00,谷值主要出现在17:00-20:00,随后至24:00液流呈增长趋势,零点到日出前液流速率变化平缓;白天（日出-日落期间）的液流量占全天的49.60%～71.51%,夜间则降低。伴随春季火龙果新梢的大量生长,白天的液流峰值和日液流总量为四季中最高,说明生育期起主导作用,但春季的夜间液流占比（平均31.05%）显著低于其他季节（P<0.01）;夏季峰值出现的时间分散在上午或者下午,且液流量较低,说明高温和强光产生了抑制作用;其余季节峰值则集中在中午。白天与夜间液流总量呈显著正相关,相关系数为0.917（R2=0.841,n=84）。瞬时尺度下液流速率与光合有效辐射（Photosynthetically Active Radiation,PAR）呈正相关（P<0.01）,但与饱和水汽压差（Vapor Pressure Deficit,VPD）等呈负相关（P<0.01）。昼夜间液流对空气相对湿度（Relative Humidity,RH）和气温的响应相反。研究结果为火龙果水分及营养管理提供科学依据,在火龙果大棚生产的周年水肥管理中,满足春季需求是重中之重。     

基于智能体和元胞自动机的鱼道内鱼类行为模拟

为建立基于智能体和元胞自动机（Agent-CA）的鱼道内鱼类行为模型,该研究以计算流体力学软件得到的水流流场数据为基础,根据过鱼试验研究认识到的鱼上溯行为特征和规律,定义了不同场景下鱼的避开障碍、寻找主流、逆流向前、逆流后退、冲刺、随机6种行为和行为规则,将鱼道划分成多个二维元胞空间,将元胞空间中元胞状态为“鱼”的网格看作是一个智能体（Agent）。在3种体型的竖缝式鱼道中应用该模型对草鱼幼鱼的上溯行为进行模拟,并将模拟结果与实际过鱼轨迹进行对比。结果表明：该研究构建的模型能够较好地描述实际过鱼的主要上溯轨迹,针对3种体型竖缝式鱼道的模拟特征轨迹范围相对误差分别为23.5%、7.7%和2.3%。本研究提出的基于智能体和元胞自动机的鱼道内鱼类行为模型具有较好的适用性,可为鱼类行为模拟研究提供重要基础数据。     

混流式水轮机叶道空化涡诱发高振幅压力脉动特性

混流式水轮机部分负荷叶道空化涡不稳定特性已成为制约水电与其他可再生能源多能互补发展、扩大水轮机稳定运行范围急需研究的技术难题。该研究以HL702低水头混流式模型水轮机为研究对象,通过非稳态数值模拟技术及涡流可视化试验,对部分负荷工况下的叶道空化涡不稳定涡流演化及压力脉动特性展开研究。结果表明,叶道空化涡在水轮机转轮内为一个体积周期性变化的动态过程,其涡结构脉动主频为转轮转频的1.1倍。叶道空化涡诱发时,水轮机转轮叶片压力面和吸力面均捕捉到与涡结构频率相同的压力脉动信号。叶道空化涡体积的变化主要发生在转轮叶片背面出水边与下环交界附近,引起压力脉动幅值的局部放大。进一步分析发现,叶道空化涡发生工况下水轮机内部的瞬时压力脉动信号与空泡体积加速度成正比,表明涡流演化是引起压力脉动幅值上升的重要原因。该研究进一步阐明了部分负荷工况叶道空化涡的演化特征,揭示了涡流诱发不稳定高振幅压力脉动的内在机制。     

基于PIV技术的圆形循环水养殖池流场

为研究进水管的设置距离和角度对双管进水式圆形循环水养殖池水动力特性的影响,该研究通过模型试验的方法,利用粒子图像测速技术（Particle Image Velocimetry,PIV）测量了不同进水管设置方式下养殖池内的流场。试验设计了3组进水管距池壁距离（进水管与池壁的最近距离,即进水管设置距离d）,每组距离工况下设计了8组进水角度（出水方向与养殖池切线形成的锐角,即进水管设置角度α）。利用PIV技术测量了不同工况下距离池底1 cm水层的流场,从水动力特征量（平均流速vavg和速度均匀系数U）分析进水管设置方式对养殖池水动力特性的影响。试验结果表明进水管设置方式明显影响养殖池的水动力特性：d=0时,随着α的增加,平均流速整体呈现先增大后下降的规律,在α=45°时取得最大值,但流场均匀系数随角度的增加而逐渐增加;d=1/4 r（r为养殖池半径）时,随着α的增加,平均流速和流场均匀系数都先缓慢增加然后再下降,分别在α=40°和30°时取得最大值;d=1/2 r时,随着α的增加,平均流速和流场均匀系数整体都呈现逐渐下降的趋势。综合比较24个试验工况的平均流速vavg和速度均匀系数U,建议将进水管设置为d=1/4 r,α=30°～40°,以期使养殖池内水动力特征有利于固体颗粒物的运动汇集,提升养殖池的集排污能力。该文研究成果可以为工厂化循环水圆形养殖池进水管设置方式提供参考。     

基于小波变换与神经网络的上倾管流型识别方法

为实现上倾管气液两相流流型的智能识别,提出了基于小波变换与概率神经网络的流型识别方法。采用中国石油大学(华东)室内小型环道试验装置进行气液两相流试验,采集上倾管流型以及相应的持液率信号。运用小波变换对持液率信号进行5级分解,并对分解后的信号提取标准差作为概率神经网络的输入参数,对试验中获得的分层流、气泡流、段塞流、严重段塞流流型进行识别。结果表明:该方法对4种流型的识别效果较好,其整体识别率为96.5%,其中分层流和严重段塞流的识别率高达98%。基于小波变换与概率神经网络的上倾管流型识别方法能够有效克服传统识别方法中主观因素的影响,不仅显著提高了流型识别的准确率,而且识别过程更加智能。(图5,表3,参22)     

MacCormack算法在长输管道瞬变流动仿真中的应用

为了提高长输管道仿真精度和速率,基于MacCormack格式基本原理和流动方程建立了长输液体管道水力瞬变流动仿真模型。以某管道为例,分别采用该仿真算法和特征线法模拟了阀门关闭和流量增加引起的瞬变流动,并探讨了MacCormack格式中不同边界条件处理方法及Courant常数值对模拟结果的影响。结果表明:MacCormack格式可用于精确仿真长输管道瞬变流动过程,采用特征线法求解预估层边界参数后,其振荡幅度、收敛速度均优于特征线仿真方法;同时,采用特征线法处理MacCormack格式边界条件较线性外插法更易收敛。研究成果可为长输管道瞬变流动仿真提供参考。(图8,表2,参22)     

支管射流三通结构优化与试验

为了提高支管射流三通水力性能,改善滴灌的灌水均匀性,基于CFX数值模拟技术,对进口宽度为15 mm的支管射流三通进行结构优化.选取位差、劈距、劈尖半径和侧壁倾角为影响因素,通过四因素三水平正交设计了9组模型,边界条件设定为进口压力100 kPa.选取支管射流三通出口设计流量为评价标准,支管射流三通最优结构尺寸为位差5.5 mm、劈距113 mm、劈尖半径13 mm、侧壁倾角10°.此结构尺寸参数下的支管射流三通水力性能试验结果表明:在进口水压为100 kPa时,支管射流三通脉冲频率为148次/min,水头压力振幅为37.9 kPa,水头压力损失为16.7 kPa,出口流量为0.698 L/s;支管射流三通所接滴灌带长度为60 m时,与普通支管三通相比,支管射流三通的灌水均匀系数提高了2.78%,流量偏差率降低了4.72%.该研究可为射流技术在脉冲滴灌系统的研究、开发与应用提供理论依据.     

水肥一体化中水肥混合效果数值模拟研究

为研究水肥一体化技术中的水肥混合特性,以流体力学中的两相流理论为基础,针对水肥混合过程中混合时间、混合区间长度、流速及管径对其混合效果的影响进行相应的数值模拟研究。结果表明,混合时间及混合区间长度越长有利于提高水肥混合效果及最终水肥混合均匀性;水肥流速比较低时管内水肥混合的均匀性较好,且水肥流速越大则其混合效果及均匀性越好;水肥流速较低时输水管及输肥管的管径比对水肥混合均匀性的影响较大,两者管径比越小则混合效果越好,随着流速的提高两者管径比对其混合效果的影响逐渐减弱。     

Nutrient cycling and biomass flows in a low-quality forest stand improvement system in the Lesser Khingan Range of China

The material flow and bulk internal flow analyses were used to establish a material accumulation and cycling model for a low-quality forest stand improvement system and a series of processes were considered. The model was applied in a one-hectare low-quality forest plot in the Lesser Khingan Range of China. Results showed that during 1997–2007, the stands absorbed 270.19 kg of N, 74.28 kg of P, and 124.39 kg of K from soils, 51.82 kg of N and 2.38 kg of P were directly absorbed by foliage, and 16.25 kg of K was released to soils by eluviation. Until 2007, the accumulated nutrients in the stands included 236.91 kg of N, 65.28 kg of P, and 108.55 kg of K. When horizontal strip clearcutting was applied in 2007, 50% accumulated nutrients in the stands were shifted due to harvesting operations, and 212.74 kg of N, 26.97 kg of P, and 98.88 kg of K were accumulated in soils, declining by 9.47% for N, 3.68% for P, and 17.60% for K, respectively, compared with year 1997. 94.61 t per hectare of biomass was generated, of which the biomass in stands accounted for 87.36%. The felled tree biomass was 36.89 t per hectare, of which 84.90% and 10.03% of biomass were utilized in terms of logs and other means, and the rest was left on site.     

Flow alteration and thermal pollution depress modelled growth rates of an iconic riverine fish,the Murray cod Maccullochella peelii

The serial discontinuity concept (SDC) proposes that hypolimnetic‐releasing impoundments cause major disruptions to the naturally occurring physical, chemical and biological gradients of rivers but that this impact diminishes with distance downstream. Such a gradient in discharge, flow velocity and temperature regime occurs below a large hypolimnetic‐releasing impoundment, the Hume Dam, on the River Murray in south‐eastern Australia. To examine the effects of this disturbance gradient on a warm‐water large‐bodied freshwater fish, the Murray cod (Maccullochella peelii), a bioenergetics model was developed and calibrated to explore energy expended under differing water velocities and temperature regimes. Model simulations predicted negative growth of juveniles directly downstream of the impoundment, due largely to the energetic costs associated with active and, to a lesser extent, standard metabolism outweighing the achievable energetic gains through food consumption. As flow velocity and temperature regimes became more favourable downstream, so did the simulated growth of the species. It was not until +239 km downstream of the impoundment that the model predicted that flow velocity and temperature regimes were suitable for greater weight gains. The modelled growth responses of juvenile Murray cod are consistent with the predictions of the SDC, emphasising that changes in the bioenergetics of individuals are likely to be reflected in reduced growth rates under the changed flow velocity and temperature regimes imposed by disturbance gradients. This research represents a valuable step in the biological understanding of Murray cod within variable riverine environments and emphasises the urgency required to mitigate impacts associated with hypolimnetic impoundments.