逼近水力机械特性的一种新方法

针对现有曲线逼近方法的不足，本文给出一种基于元胞自动机原理的曲线逼近方法，并对应用这种方法逼近水力机械特性的计算过程进行了研究。研究结果表明，使用基于元胞自动机的曲线逼近方法逼近水力机械的特性，与整体的曲线逼近方法相比，所得到的逼近结果，具有计算精度高，能够真实反映水力机械特性的特点，可以用于水力机械的控制和优化运行等方面。     

Effect of the Silicic Acid Polymerization Degree on the Coagulating Property of Polyalumium Silicate Chloride

Polyaluminum silicate is a new type of inorganic macromolecular flocculants, which is developed as a complex product in recent years on the base of polyalumium flocculant and polysilicic acid flocculant. Sodium silicate is diluted to the concentration of 3.0% SiO 2 with distilled water. The solution was adjusted to pH 4.5 with sulphate acid and kept at quiescency for different time to get polysilicic acid with different polymerization degrees. Using polysilicic acid prepared and aluminium chloride as materials, a series of polyaluminium silicate chlorides(PASC) with different basicities(B), Al/Si molar ratios and polymerization degree of silicic acid are prepared by copolymerization technique. The Al-Ferron timed complex colorimetric method is applied to characterize species distribution of PASC and to study its influence factors. The interaction between hydrolyzed aluminum species and polysilicic acid with different polymerization degrees in PASC is discussed.The flocculant prepared is applied to the treatment of commercial concrete wastewater. The turbidity removal of commercial concrete wastewater is up to 97% when a PASC, prepared with polysilicic acid of 145 min polymerization degree.     

Critical Phase Transition of the Two-dimensional Microcanonical Ising Model by Cellular Automata Q2R Method

The authors construct a microcanonical ensemble system and analyzes the phase change of the two-dimensional Ising model Cellular Automata Q2R/WQ2R method. The result indicates that the numerical value simulation can show the spontaneous magnetization of two-dimensional crystal lattice in isolated system. The authors have observed the critical phase transition phenomenon and gotten the critical energy. The simulation of three-dimensional Ising model can be grounded on the method that this article establishes.     

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。     

基于元胞自动机模型的土地利用情景模拟与驱动力分析

土地利用格局的形成过程比其最终形成的结果更为重要。本文以哈尔滨市双城区为例，利用不同时期的土地利用数据，在土地利用变化关键驱动因素分析的基础上，选取了对土地利用变化影响较大的距离变量、邻近土地利用类型数量、单元自然属性、社会经济因素等4方面14个驱动力因子，建立了基于元胞自动机(CA)与人工神经网络(ANN)相结合的土地利用空间格局模拟模型。在此基础上，对研究区自然禀赋、社会经济快速发展、基本农田保护及土地利用规划等不同情景驱动机制下的土地利用空间格局进行了时空模拟，以此解析土地利用变化过程与驱动力因素的响应关系。模拟结果显示：自然禀赋情景下，各地类变化趋势与现在保持一致；在社会经济快速发展情景下，建设用地面积增加明显，主要由旱地和其他用地转入；在基本农田保护情景下，耕地面积比较稳定，各地类变化趋势较为缓和；在土地利用规划情景下，各地类变化较为合理，兼顾耕地保护和经济发展。研究结果显示，该方法对哈尔滨市双城区土地利用格局变化的驱动机制具有较好的解释作用。     

Theoretical Analysis on 13-Bit Lattice Gas Automata Model with Poly-velocity and its Simulation

An 13 bit lattice gas automata model has been investigated from fluid discrete dynamics. By gaining the moment equations from lattice Boltzmann equation and using Chapman Enskog expansion, the fluid dynamics equation and energy equation of 13 bit lattice gas automata model with polyvelocity have been deduced. The validity of the model using for non isothermal fluid dynamics has been proved . Finally, simulation results for non isothermal flow pass plate have been shown     

Forecasting the spatial dynamics of gypsy moth outbreaks using cellular transition models

A series of cellular transition probability models that predict the spatial dynamics of gypsy moth (Lymantria dispar L.) defoliation were developed. The models consisted of four classes: Simple Markov chains, Rook's and Queen's move neighborhood models, and distance weighted neighborhood models. Historical maps of gypsy moth defoliation across Massachusetts from 1961 to 1991 were digitized into a binary raster matrix and used to estimate transition probabilities. Results indicated that the distance weighted neighborhood model performed better then the other neighborhood models and the simple Markov chain. Incorporation of interpolated counts of overwintering egg mass counts taken throughout the state and incorporation of historical defoliation frequencies increased the performance of the transition models.     

Modelling spatio-temporal dynamics of herbicide resistance

A mathematical model has been developed for the risk assessment of the spread of genes conferring herbicide resistance in plant populations. The model combines an age-and-stage-structured population dynamic model, a population genetic model and a model of spatial spread. This is achieved by embedding a local matrix population model into a cellular automaton model with raster cells as spatial units. The dynamics of each cell is determined by both its local dynamics and the interaction with neighbouring cells. The model is applied to the evaluation of management strategies to delay or even to prevent long-term evolution of resistance in an annual grass weed. The results show that the appearance and spread of resistant genes is a highly non-linear process exhibiting threshold phenomena, which occur for a wide range of parameters. The properties of the seed survival curve constitute the `genetic memory' of the system and thus determine its long-term dynamics. It is possible to delay the evolution of resistance by suspension of treatment, reduction in herbicide application rate and introducing fallow periods. Spatial spread from an infested plot is inhibited by leaving untreated strips between adjacent fields.     

基于MCR-ANN-CA模型的包头市生态用地演变模拟

以内蒙古自治区包头市为研究区,耦合最小累积阻力(MCR)模型、人工神经网络(ANN)和元胞自动机(CA)构建MCR-ANN-CA模型。利用MCR模型量化包头市各用地类型演变为生态用地时的阻力,构建CA适宜性规则;利用ANN模型提取CA邻域转换规则,基于包头市2006、2011年土地利用数据及归一化植被指数(NDVI)、高程、坡度、水体距离、人口密度多项数据,对2016年生态用地演变情景进行模拟,以2016年实际生态用地分布为参照,将该模型模拟结果与CA-Markov模型的模拟结果进行对比(以2016年实际景观分布为参照),结果显示,两种模型模拟结果的卡帕一致性指数(Kappa index of agreement,KIA)分别为0. 89和0. 87,相对误差分别为3. 10%和5. 31%,MCR-ANN-CA模型显示了较高的模拟精度。