正则长波方程的格子Boltzmann模型

提出了用于正则皮方程的５－Ｂｉｔ格子Ｂｏｌｔｚｍａｎｎ模型，应用Ｃｈａｐｍａｎ－Ｅｎｓｋｏｇ展开和多重尺度技术，通过选择平衡态分布函数的高阶矩，得到了时间尺度ｔ０上的守恒律，从而给出三阶精度的算法，模型中的参数通过稳定性分析给出

Lattice Boltzmann Simulations of the Klinkenberg Effect in Porous Media

格子Boltzmann数值模拟方法是研究复杂的多孔介质结构特别是Klinkenberg效应的有效方法之一，对处理复杂边值问题尤其有效。用格子Boltzmann方法研究了气流穿越多孔介质问题，并将数值计算结果与实验结果进行了比较，结果表明格子Boltzmann方法是数值模拟气流穿越多孔介质问题的有效方法之一

A lattice Boltzmann equation for waves

We propose a lattice Boltzmann model for the wave equation. Using a lattice Boltzmann equation and the Chapman-Enskog expansion, we get 1D and 2D wave equations with truncation error of order two. The numerical tests show the method can be used to simulate the wave motions

Simple lattice Boltzmann model for simulating flows with shock wave

We propose a lattice Boltzmann model for compressible Euler equations. The numerical examples show that the model can be used to simulate shock wave and contact discontinuity. The results are compared with those obtained by traditional methods

A Lagrangian lattice Boltzmann method for Euler equations

A Lagrangian lattice Boltzmann method for solving Euler equations is proposed. The key step in formulating this method is the introduction of the displacement distribution function. The equilibrium distribution function consists of macroscopic Lagrangian variables at time steps n and n + 1. It is different from the standard lattice Boltzmann method. In this method the element, instead of each particle, is required to satisfy the basic law. The element is considered as one large particle, which results in simpler version than the corresponding Eulerian one, because the advection term disappears here. Our numerical examples successfully reproduce the classical results

Recovery of the solitons using a lattice Boltzmann model

We formulate a lattice Boltzmann model which simulates Korteweg-de Vries equation by using a method of higher moments of lattice Boltzmann equation. Using a series of lattice Boltzmann equations in different time scales and the conservation law in time scale to, we obtain equilibrium distribution function. The numerical examples show that the method can be used to simulate soliton

Simple lattice Boltzmann model for traffic flows

A lattice Boltzmann model with 5-bit lattice for traffic flows is proposed. Using the Chapman-Enskog expansion and multi-scale technique, we obtain the higher-order moments of equilibrium distribution function. A simple traffic light problem is simulated by using the present lattice Boltzmann model, and the result agrees well with analytical solution

西北干旱区两种不同栽培管理措施下棉田CH4和N2O排放通量研究/CH4 AND N2O FLUXES FROM COTTON FIELDS DIFFERENT IN FARMING PRACTICES IN NORTHWESTERN CHINA[J]

采用静态箱-气相色谱法对西北干旱区当前普遍采用的膜下滴灌和传统的无膜漫灌两种栽培管理下土壤CH4和N2O通量日变化和季节变化特征进行了研究.结果表明,随时间的推移,无膜漫灌栽培管理措施下棉田土壤CH4日变化通量呈先降后升趋势,而膜下滴灌栽培处理CH4排放通量日变化则呈现先升后降趋势；在整个生长季节,无膜漫灌和膜下滴灌土壤CH4季节变化规律不太明显,前者吸收大气CH4 45.2～52.5 mgm-2 a-1,后者释放CH4通量为0.7～23.1 mg m-2 a-1.两种栽培管理措施下棉田土壤N2O通量的日变化和季节变化均随时间的推移均呈现先升后降趋势,但是,无膜漫灌日均排放N2O通量显著高于膜下滴灌.在整个生长季节,无膜漫灌土壤N2O释放量(N2O 99.3～320.0 mg m-2a-1)显著高于膜下滴灌(N2O 60.0～259.0 mgm-2a-1).以上结果说明,膜下滴灌栽培管理措施可以改变旱田传统无膜漫灌栽培土壤与大气CH4的交换方向,促进土壤CH4向大气的排放,但对N2O通量日变化和季节变化规律不产生影响,显著降低土壤N2O的排放量

膜下滴灌对新疆棉田生态系统净初级生产力、土壤异氧呼吸和CO2净交换通量的影响/Effects of drip irrigation with plastic mulching on the net primary productivity, soil heterotrophic respiration, and net CO2 exchange flux of cotton field ecosystem in Xinjiang, North-west China[J]

2009年4-10月,通过田间试验,以传统无膜漫灌为对照,研究了膜下滴灌对我国新疆棉田生态系统净初级生产力、土壤异氧呼吸和CO2净交换通量的影响.结果表明:膜下滴灌和无膜漫灌处理下,棉田生态系统净初级生产力、土壤异氧呼吸通量和CO2净交换通量均呈先增大后减小的变化趋势.与无膜漫灌相比,膜下滴灌显著提高了棉花地上、地下生物量和净初级生产力,降低了土壤异氧呼吸通量.在整个生长季节,膜下滴灌处理的年土壤异氧呼吸通量为214 g C·m-2,低于无膜漫灌处理的317 g C·m-2;膜下滴灌处理的棉花年净初级生产力为1030 g C·m-2,显著高于无膜漫灌处理的649 g C·m-2;膜下滴灌处理比无膜漫灌处理多固定大气CO2479 g C·m-2.膜下滴灌栽培措施既提高了作物生产力,又降低了土壤CO2排放,是干旱地区一种重要的农业固碳减排措施

JUNO Sensitivity on Proton Decay p→νˉK+p\to \bar\nu K^+ Searches

The Jiangmen Underground Neutrino Observatory (JUNO) is a large liquid scintillator detector designed to explore many topics in fundamental physics. In this paper, the potential on searching for proton decay in $p\to \bar\nu K^+$ mode with JUNO is investigated.The kaon and its decay particles feature a clear three-fold coincidence signature that results in a high efficiency for identification. Moreover, the excellent energy resolution of JUNO permits to suppress the sizable background caused by other delayed signals. Based on these advantages, the detection efficiency for the proton decay via $p\to \bar\nu K^+$ is 36.9% with a background level of 0.2 events after 10 years of data taking. The estimated sensitivity based on 200 kton-years exposure is $9.6 \times 10^{33}$ years, competitive with the current best limits on the proton lifetime in this channel