灌溉管网非恒定流计算机实现方法

为了研究灌溉管网非恒定流计算机实现方法,基于非恒定流的基本原理及其特征线(MOC)解法,探讨了采用节支关联表和支节关联表建立管网结构信息,并对管网数据进行储存、计算和结果输出的方法,在计算过程中通过数组储存不同的节点类型及管网参数供计算机调用。通过实例对典型喷灌管网的非恒定流过程进行了计算并分析。结果表明,该方法储存管网结构信息简单方便,计算机能够快速识别节点类型并调用相应的边界条件子程序,本方法可用于复杂灌溉管网的非恒定流建模与分析。     

生物柴油搅拌装置的设计

生物柴油制备器械很多,但制备过程中油料预混合及配套加热器械却很少。为了进一步完善现今这一领域的不足,设计了一种适用于生物柴油的油料搅拌装置。为此,阐述了该装置的主要结构、工作原理和主要技术参数,并以200r/min的转速为标准,运用gambit进行图形绘制和网格划分,采用fluent软件对该机内部流场进行仿真分析,验证了其转速的合理性。基于STC89C51单片机和DS18B20的温度传感技术,设计了一种温度控制装置,可在生物柴油制备过程中使油料更好地进行预混合和加热,从而提高了生物柴油的制备效率和质量,减少了操作时间。     

基于广义回归神经网络的灌溉系统首部多用户配水快速PID控制

针对多用户配水状态下灌区流量、压力需求变化范围大,传统流量、压力控制响应速度慢等问题,建立适用于多用户灌区配水的灌溉系统首部控制技术。该研究通过分析供水系统流量、压力调节方式,提出了流量、压力PID(Proportion Integration Differentiation)耦合调节方法,建立以电动阀开度为流量控制量、变频器频率为压力控制量对流量和压力进行调控的灌溉首部控制系统。为了减少系统的调节时间,提高系统的运行效率,采用广义回归神经网络(Generalized Regression Neural Network,GRNN)建立流量、压力和电动阀控制模拟量、变频器控制模拟量间的预测模型,形成神经网络PID控制模型(GRNN_PID),并进行模型精度和控制精度验证。GRNN训练结果显示,变频器控制模拟量的相对误差为0.11%～3.86%,电动阀控制模拟量相对误差为0.09%～5.74%,模型精度较高。使用3个调节过程模拟3个用户的需水行为对模型进行验证,结果表明,GRNN_PID模型3个过程的调节时间分别为11.6、10.7和7.2 s,PID模型3个过程的调节时间分别为31.7、29.6和16.9 s,GRNN_PID模型大幅减少了系统的调节时间,提高了系统的运行效率;分别计算了2种模型的控制精度,GRNN_PID调节方法和传统PID调节方法的稳态流量和压力误差都在1%以内,最大超调量为8%,控制精度较高但相差不大,表明GRNN是从策略上加速系统调节速度,其本身并没有对PID的参数进行调整,因此对系统的控制精度影响不大。研究可为灌溉系统流量压力快速控制提供参考。     

基于粒子图像测速的坡面流水动力学特性

粒子图像测速(Particle Image Velocimetry, PIV)技术具有多点同时测量、对水流无干扰的优点,该研究利用高分辨率PIV(分辨率为64 pixels/mm),测量了7组坡面流(水深范围为0.5～1.1 cm,雷诺数范围为1 000～3 000),并测量1组深水明渠紊流作为对照,研究了流速轮廓线和修正系数、紊动强度和雷诺应力、偏态系数和峰度系数的变化规律。结果表明:1)PIV能够有效观测坡面流床面至水面的流速分布。当坡面流流态为过渡流时,流速修正系数随着雷诺数的增加呈对数增加,均值为0.77;2)对比深水明渠紊流的紊动强度,坡面流的流向紊动强度较大,而垂向紊动强度较小,且随着水深及雷诺数的增加,坡面流紊动强度逐渐与深水明渠紊流的特征吻合。深水明渠紊流中受雷诺应力影响的流体占比约80%,而坡面流中受雷诺应力影响的流体占比小于80%,随着雷诺数的增加坡面流中受雷诺应力影响的流体占比变大;3)对比深水明渠紊流的峰度系数,坡面流的峰度系数大部分大于3,表明坡面流较深水明渠紊流出现极端流速事件的概率小。PIV技术有利于实验室研究坡面水力侵蚀的力学机理机制问题。     

泥炭块制作机应用前景展望

介绍了泥炭块育苗技术的优点，分析了泥炭块制作机制作泥炭块的工艺流程及其关键技术，展望了泥炭块制作机的应用前景。     

How to characterize ‘good’ and ‘greening’ in the EU Common Agricultural Policy (CAP): the case of clay soils in the Netherlands

The change in the Common Agricultural Policy (CAP) of the European Union from product to producer support, including requirements for ‘good agricultural and environmental conditions’ and ‘greening’, is excellent. However, these requirements are now defined in rather general terms. Questions can be raised about suitable indicators, and there is a recognized need for effective management recommendations to support farmers in achieving the required ‘good’ conditions. These recommendations are bound to be quite different for different soils in different countries. A study of Dutch clay soils was based on a storyline describing current problems and management options for improvement, which were quantified using a soil–water–crop simulation model. Indicators were defined for agricultural conditions and suggestions made for the use of the model in a predictive mode to help farmers improve their soil management. Environmental conditions were judged by current environmental guidelines for water and air. When modelling, implicit assumptions that soils are homogeneous were shown to be unrealistic for these clay soils, requiring development of innovative methods and procedures, presenting a challenge for soil research.     

坎儿井衰减与地下水补排系统响应关系

为了探究坎儿井衰减与地下水补排系统响应关系,利用地下水位观测资料和坎儿井流量监测资料,结合鄯善县历次地下水资源调查评价资料和坎儿井统计数据,分析了地下水补给量、排泄量对坎儿井衰减的影响,并建立了最小二乘回归模型,在执行最严格水资源管理制度下对2020年、2030年坎儿井出水量进行了预测。结果表明,坎儿井流量动态与地下水位动态基本同步;北盆地的坎儿井出水量主要受地下水补给量的影响,南盆地主要受地下水开采量的影响。地下水开采量是影响鄯善县坎儿井衰减的关键因素,在最严格水资源管理制度下鄯善县坎儿井出水量将会在2020年恢复至0.83亿m~3,2030年恢复至0.87亿m~3。     

两种血清抗性检测方法的比较分析

采用流式细胞术法对大肠杆菌的血清抗性进行检测,并与传统涂板法相比较,探讨流式细胞术在血清抗性检测方法中的应用。结果表明,两者呈正相关关系(P=0.0340.05),流式细胞术法可以代替涂板法对大肠杆菌的血清抗性进行检测。该方法可以减少由于涂板不均匀、人工计数等造成的误差,且易操作、计算少、耗时少,数据更准确。     

Assessing appetite of the swimming fish based on spontaneous collective behaviors in a recirculating aquaculture system

In order to realize the real-time appetite-based feeding in aquaculture, a novel and practical method, based on the quantification of the spontaneous collective behaviors, was proposed in this study to assess the real-time appetite of the swimming fish in a recirculating aquaculture system. First, foreground feature points of fish school were extracted using an improved complex network. Then, covariance, a modified social force model and a kinetic energy model were used to analyze the collective behaviors of the school from perspectives of dispersion degree, interaction force and the changing magnitude of the water flow field, respectively. Finally, the quantified behavioral characteristics were integrated and used to assess the appetite of fish school. The presented method shows its good performance in the expression of the collective behaviors representing five typical appetites (0.01, 0.52, 1.28, 2.26 and 2.92), and the assessing accuracy of the appetite of the school is also maintained at a low non-match rate ((2.19 ± 0.81)% best) in the context of ten different sampling durations.