Evolutionary diversity and spatiotemporal dynamics of a spatial game

In this paper, the evolution of cooperation is studied by a spatially structured evolutionary game model in which the players are located on a two-dimensional square lattice. Each player can choose one of the following strategies: “always defect” (ALLD), “tit-for-tat” (TFT), and “always cooperate” (ALLC). Players merely interact with four immediate neighbors at first and adjust strategies according to their rewards. First, the evolutionary dynamics of the three strategies in non-spatial population is investigated, and the results indicate that cooperation is not favored in most settings without spatial structure. Next, an analytical method, which is based on comparing the local payoff structures, is introduced for the spatial game model. Using the conditions derived from the method as criteria, the parameter plane for two major parameters of the spatial game model is divided and nine representative regions are identified. In each parameter region, a distinct spatiotemporal dynamics is characterized. The spatiotemporal dynamics not only verify that the spatial structure promote the evolution of cooperation but also reveal how cooperation is favored. Our results show that spatial structure is the keystone of the evolution of intraspecific diversity.     

自然灾害的自相似性质

本文分析了多种自然灾害的致灾因子和致灾损失的频次—大小关系，结果表明，普遍服从幂指数分布律，表明存在自相似性和可用分数维度量。地震和洪水等突发性灾害及其造成的损失自相似最明显，分数维可在２～３个量级区间成立。不同文种、致灾因子和致灾损失的分数维值似与成灾机理、影响因子的复杂程度有关．     

微细水雾除尘技术的实验研究

分析了煤矿并下呼吸性粉尘防治技术现状，并对水的超声雾化技术进行了实验研究，应用回归分析建立了超声雾化性能的数学模型。在分析微细水雾捕尘机理及捕尘水雾凝并沉降技术的基础上，设计了一集微细水雾捕尘-凝聚、凝并降尘-惯性沉降分离为一体的含尘气流净化系统，并对该系统的除尘效率进行了实验研究，建立了相应的数学模型。     

Decentralized scheme for leaks’ location in a branched pipeline

This article presents a novel scheme for the detection and isolation of single leaks in a pipeline with a branch junction by measuring only the flow rate and pressure at the ends of the line. For the solution of this realistic issue, which commonly occurs in pipeline networks, the position of the branch junction and its flow rate are supposed to be known. The idea consists of deriving a model considering the branch junction as a known point in the pipeline such that the leak position is characterized by two possible orientations with respect to the branch (upstream and downstream of it). Thus, this model allows proposing a diagnosis scheme which includes a static selector and two identifiers designed by using a continuous extended Kalman filter with only one deviation parameter to be estimated. This framework reduces the identification task to one parameter which is associated with the deviation from a prescribed positive base position located between one of the pipeline ends and the branch. Simulation and experimental results with data of a hydraulic pilot pipeline of 200 [m] show the promise of the novel scheme.     

Applied tracer tests in fractured rock: Can we predict natural gradient solute transport more accurately than fracture and matrix parameters?

Applied tracer tests provide a means to estimate aquifer parameters in fractured rock. The traditional approach to analysing these tests has been using a single fracture model to find the parameter values that generate the best fit to the measured breakthrough curve. In many cases, the ultimate aim is to predict solute transport under the natural gradient. Usually, no confidence limits are placed on parameter values and the impact of parameter errors on predictions of solute transport is not discussed. The assumption inherent in this approach is that the parameters determined under forced conditions will enable prediction of solute transport under the natural gradient. This paper considers the parameter and prediction uncertainty that might arise from analysis of breakthrough curves obtained from forced gradient applied tracer tests. By adding noise to an exact solution for transport in a single fracture in a porous matrix we create multiple realisations of an initial breakthrough curve. A least squares fitting routine is used to obtain a fit to each realisation, yielding a range of parameter values rather than a single set of absolute values. The suite of parameters is then used to make predictions of solute transport under lower hydraulic gradients and the uncertainty of estimated parameters and subsequent predictions of solute transport is compared. The results of this study show that predictions of breakthrough curve characteristics (first inflection point time, peak arrival time and peak concentration) for groundwater flow speeds with orders of magnitude smaller than that at which a test is conducted can sometimes be determined even more accurately than the fracture and matrix parameters.     

市政脱水污泥的间接干化动力学研究

以食用油为热介质,在不同油浴温度下,对市政脱水污泥进行间接干化试验,推导出间接干化动力学模型,并对收集的冷凝液进行水质分析。结果表明:冷凝液为高浓度有机废水,TOC占TC的比例为73.2010%~75.5983%;VFAs的主要组分是乙酸、丙酸、丁酸、异丁酸、异戊酸和正戊酸,其中异丁酸所占比例最高(45.597%),其次为丙酸(24.554%);通过动力学模型的参数估值,Z模型(n≠1)因高R~2值和低RSS值而能很好的预测间接干化过程。     

Parameter estimation for fractional dispersion model for rivers

The fractional dispersion model for natural rivers, extended by including a first order reaction term, contains four parameters. In order to estimate these parameters a fractional Laplace transform-based method is developed in this paper. Based on 76 dye test data measured in natural streams, the new parameter estimation method shows that the fractional dispersion operator parameter F is the controlling parameter causing the non-Fickian dispersion and F does not take on an integer constant of 2 but instead varies in the range of 1.4–2.0. The adequacy of the fractional Laplace transform-based parameter estimation method is determined by computing dispersion characteristics of the extended fractional dispersion model and these characteristics are compared with those observed from 12 dye tests conducted on the US rivers, including Mississippi, Red, and Monocacy. The agreement between computed and observed dispersion characteristics is found to be good. When combined with the fractional Laplace transform-based parameter estimation method, the extended fractional dispersion model is capable of accurately simulating the non-Fickian dispersion process in natural streams.     

可压密煤层瓦斯运移方程与数值模拟研究

建立了非均质可压密煤层瓦斯运移方程和数值模拟方程,通过计算机数值模拟解,并运用相似理论,得到了煤层瓦斯压力分布曲线和煤（孔）壁瓦斯涌出衰减曲线方程。采掘面围岩中的集中应力峰值点存在高瓦斯压力和压力梯度,克林伯格效应和煤体排放瓦斯后的应力释放对钻孔瓦斯流量有明显的增长作用     

苯胺和硝基苯胺对大型蚤(Daphnia magna)的联合毒性

测得了苯胺与硝基苯胺对大型蚤(Daphnia magna)的单一毒性和二元混合物的联合毒性.用相加指数法(AI)和相似性参数(λ)进行评价,两种方法得出一致的结论,即3种二元混合物的联合作用均为协同作用;比较混合物在等剂量,毒性单位比分别为1∶1,1∶4,2∶3,3∶2,4∶1下的AI值和λ值,发现均在等毒配比时的协同作用最强.      

Bayesian calibration of the nitrous oxide emission module of an agro-ecosystem model

Nitrous oxide (N₂O) is the main biogenic greenhouse gas contributing to the global warming potential (GWP) of agro-ecosystems. Evaluating the impact of agriculture on climate therefore requires a capacity to predict N₂O emissions in relation to environmental conditions and crop management. Biophysical models simulating the dynamics of carbon and nitrogen in agro-ecosystems have a unique potential to explore these relationships, but are fraught with high uncertainties in their parameters due to their variations over time and space. Here, we used a Bayesian approach to calibrate the parameters of the N₂O submodel of the agro-ecosystem model CERES-EGC. The submodel simulates N₂O emissions from the nitrification and denitrification processes, which are modelled as the product of a potential rate with three dimensionless factors related to soil water content, nitrogen content and temperature. These equations involve a total set of 15 parameters, four of which are site-specific and should be measured on site, while the other 11 are considered global, i.e. invariant over time and space. We first gathered prior information on the model parameters based on the literature review, and assigned them uniform probability distributions. A Bayesian method based on the Metropolis–Hastings algorithm was subsequently developed to update the parameter distributions against a database of seven different field-sites in France. Three parallel Markov chains were run to ensure a convergence of the algorithm. This site-specific calibration significantly reduced the spread in parameter distribution, and the uncertainty in the N₂O simulations. The model’s root mean square error (RMSE) was also abated by 73% across the field sites compared to the prior parameterization. The Bayesian calibration was subsequently applied simultaneously to all data sets, to obtain better global estimates for the parameters initially deemed universal. This made it possible to reduce the RMSE by 33% on average, compared to the uncalibrated model. These global parameter values may be used to obtain more realistic estimates of N₂O emissions from arable soils at regional or continental scales.