Zooplankton encounters in patchy particle distributions

Zooplankton encounter rates are dependent not only on both sensory and swimming performances of the organisms, but also on the distribution pattern of food particles. Increasing evidences indicate that, in natural conditions, phytoplankton is often aggregated in thin layers. In the present contribution we investigate the concomitant effects of motion complexity and habitat fragmentation on the number of encounters realised by virtual continuously moving copepods adopting different motion strategies. Our simulated organisms move in an environment characterised by the presence of thin patches of phytoplankton, and their swim follows five motion rules (pure random walk, correlated random walk with three different time scales, self-avoiding random walk), each characterised by a typical value of the three-dimensional fractal dimension D_3D. Compared to a uniform distribution, for a given motion rule the clustering of prey particles increases the variance of encounters, while no remarkable effect is reported in the average number of particles intercepted. These results broaden our understanding of the behavioural efficiency in freely swimming zooplankters and improve our knowledge of the functioning of aquatic systems.     

Incorporating behaviour into simple models of dispersal using the biological control agent Dicyphus hesperus

We explored the utility of incorporating easily measured, biologically realistic movement rules into simple models of dispersal. We depart from traditional random walk models by designing an individual-based simulation model where we decompose animal movement into three separate processes: emigration, between-patch movement, and immigration behaviour. These processes were quantified using experiments on the omnivorous insect Dicyphus hesperus moving through a tomato greenhouse. We compare the predictions of the individual-based model, along with a series of biased random walk models, against an independent experimental release of D. hesperus. We find that in this system, the short-term dispersal of these insects is described well by our individual-based model, but can also be described by a 2D grid-based biased random walk model when mortality is accounted for.     

Application of random pore model for SO2 removal reaction by CuO

In this work, mathematical modeling of SO₂ removal reaction with CuO was accomplished by the random pore model. The partial differential equations, describing the reaction of a gaseous reactant with a single pellet and also a packed bed of solid reactant, were solved by the finite element method. The results of modeling consist of CuO conversion-time profiles at different temperatures and SO₂ concentrations, and also break through curves which were compared with the literature experimental data in a good accuracy. The rate constants were estimated from the initial slope of the conversion-time curves, and the product layer diffusivities were evaluated from the whole conversion-time profiles.     

复杂地形机械湍流扩散的粒子随机行走模拟

应用粒子随机行走模拟方法模拟了高架点源在中性情况下在复杂地形上的排放,并将模拟结果与风洞实验进行了比较,二者能较好地吻合。虽然将该方法用于复杂地形大气扩散计算在技术上不存在什么困难,但是在确定模式基本参数等方面,还应该慎重考虑。      

Measurement and analysis of non-Fickian dispersion in heterogeneous porous media

Contaminant breakthrough behavior in a variety of heterogeneous porous media was measured in laboratory experiments, and evaluated in terms of both the classical advection-dispersion equation (ADE) and the continuous time random walk (CTRW) framework. Heterogeneity can give rise to non-Fickian transport patterns, which are distinguished by "anomalous" early arrival and late time tails in breakthrough curves. Experiments were conducted in two mid-scale laboratory flow cells packed with clean, sieved sand of specified grain sizes. Three sets of experiments were performed, using a "homogeneous" packing, a randomly heterogeneous packing using sand of two grain sizes, and an exponentially correlated structure using sand of three grain sizes. Concentrations of sodium chloride tracer were monitored at the inflow reservoir and measured at the outflow reservoir. Breakthrough curves were then analyzed by comparison to fitted solutions from the ADE and CTRW formulations. In all three systems, including the "homogeneous" one, subtle yet measurable differences between Fickian and non-Fickian transport were observed. Quantitative analysis demonstrated that the CTRW theory characterized the full shape of the breakthrough curves far more effectively than the ADE.     

浅论人为灾害

本文着重对人为灾害进行了讨论，指出了人为灾害的主要特征，即它超越了时间和空间的界限，具有不确定性和惩罚性，并由此将人为灾害划分为随机、次生、潜在三个系统．在以翔实的资料描述人为灾害现状后，提出了防治对策．     

非感潮河流水污染带范围的估算

在河流污染带范围随机模拟方法的基础上提出了一个附加概率意义的污染带新定义，然后利用线性回归，分别采用３种曲线拟合和１个方面拟合两种方法，对污染带的范围进行估算，结果表明，能较真实地反映河流污染带的实际情况。     

厌氧—好氧生物滤池处理城镇污水的研究

厌氧－好氧高性能生物滤池是利用附着在塑料模块填料上的微生物系统对城镇污水中的污染物质进行降解处理。厌氧水解池和高负荷生物滤池采用的塑料模块填料具肮空隙率、高附着面积、高布水性能和抗堵塞的优异性能，使出无需回流。当厌氧水解池水力仪时间国４ｈ，生物滤澉水力负荷为３０ｍ＾３／（ｍ＾２．ｄ），城镇污水的ＣＯＤｃｒ去作率达７５％～８５％、ＢＯＤ５去除率达８５％、９５％，ＳＳ去除率达８５％～９０５％，处理后出     

Interpretation of out-diffusion experiments on crystalline rocks using random walk modeling

Matrix diffusion in saturated rocks with very low permeability is one of the major mechanisms of solute transport. Laboratory out-diffusion experiments on rock samples may provide an estimate of the bulk diffusion coefficient. However, numerous results have shown that this average parameter does not really depict the complex mechanism of diffusion as a function of the internal heterogeneity of crystalline rocks. Two-dimensional images of the porosity distribution in a granite sample were obtained by impregnation with a radioactive resin and autoradiography. Some examples based on these images and synthetic images were used to perform numerical simulations of out-diffusion using two different random walk methods. The simulated shapes of the out-diffusion curves depend on the spatial distribution of the porosity and on the pore connectivity with the border of the sample. Such relations might explain the multiple nested slopes or the convex shapes often observed on real experimental curves.     

Modeling drivers’ reaction when being tailgated: A Random Forests Method

Background: Tailgating is a common aggressive driving behavior that has been identified as one of the leading causes of rear-end crashes. Previous studies have explored the behavior of tailgating drivers and have reported effective solutions to decrease the amount or prevalence of tailgating. This paper tries to fill the research gap by focusing on understanding highway tailgating scenarios and examining the leading vehicles’ reaction using existing naturalistic driving data. Method: A total of 1,255 tailgating events were identified by using the one-second time headway threshold criterion. Four types of reactions from the leading vehicles were identified, including changing lanes, slowing down, speeding up, and making no response. A Random Forests algorithm was employed in this study to predict the leading vehicle’s reaction based on corresponding factors including driver, vehicle, and environmental variables. Results: The analysis of the tailgating scenarios and associated factors showed that male drivers were more frequently involved in tailgating events than female drivers and that tailgating was more prevalent under sunny weather and in daytime conditions. Changing lanes was the most prevalent reaction from the leading vehicle during tailgating, which accounted for more than half of the total events. The results of Random Forests showed that mean time headway, duration of tailgating, and minimum time headway were three main factors, which had the greatest impact on the leading vehicle drivers’ reaction. It was found that in 95% of the events, leading vehicles would change lanes when being tailgated for two minutes or longer. Practical Applications: Results of this study can help to better understand the behavior and decision making of drivers. This understanding can be used in designing countermeasures or assistance systems to reduce tailgating behavior and related negative safety consequences.