锅炉房工艺设计中确定煤场面积的一种方法

本文以管理科学的库存理论为基础，以提高经济效益为目的，提出了一种全新的锅炉房煤场面积确定方法。     

COMPARATIVE STUDY OF OPTIMIZATION TECHNIQUES FOR IRRIGATION PROJECT PLANNING1

ABSTRACT: This study presents three optimization techniques for on‐farm irrigation scheduling in irrigation project planning: namely the genetic algorithm, simulated annealing and iterative improvement methods. The three techniques are applied to planning a 394.6 ha irrigation project in the town of Delta, Utah, for optimizing economic profits, simulating water demand, and estimating the crop area percentages with specific water supply and planted area constraints. The comparative optimization results for the 394.6 ha irrigated project from the genetic algorithm, simulated annealing, and iterative improvement methods are as follows: (1) the seasonal maximum net benefits are $113,826, $111,494, and $105,444 per season, respectively; and (2) the seasonal water demands are 3.03*10³ m³, 3.0*10³ m³, and 2.92*10³ m³ per season, respectively. This study also determined the most suitable four parameters of the genetic algorithm method for the Delta irrigated project to be: (1) the number of generations equals 800, (2) population size equals 50, (3) probability of crossover equals 0.6, and (4) probability of mutation equals 0.02. Meanwhile, the most suitable three parameters of simulated annealing method for the Delta irrigated project are: (1) initial temperature equals 1,000, (2) number of moves equal 90, and (3) cooling rate equals 0.95.     

可视化灾害数字仿真重构理论及实证研究(Ⅱ)--理论框架与概念化范式

可视化灾害数字仿真重构理论研究,不仅可以实现对灾害空间数据进行有效的集成管理和时空分析,而且为灾害的防治、应急管理和工程论证等提供可靠的依据,是解决灾害实验的危险性和不可重复性的最佳途径.本文提出可视化灾害数字仿真重构理论的概念、研究对象和方法,综述该理论所需要涉及多种跨学科的技术支持,提出灾害数字仿真重构理论的实施流程,按照致灾因子孕育、发生以及作用于承灾体形成灾害的过程为线索,建立灾害数字仿真模型的概念化范式.上述工作共同构成灾害数字仿真重构的完整理论体系.     

曝气生物滤池(BAF)在小区污水处理中的运用

介绍了曝气生物滤池(BAF)工艺在小区污水处理中的运用，分析了实际工程的设计及运行情况，并对曝气生物滤池运行中有关问题进行了总结，最后对其应用前景作了展望。     

小城镇地震数字仿真与应急调度系统的研究

以地理信息系统为平台进行地震灾害研究,建立具有强大空间分析功能的信息系统,将发挥快速、准确的辅助决策作用.本文剖析了小城镇地震应急反应模式存在的弊端,明确了灾害空间的概念,并提出小城镇空间数据库的建库及三维可视化的技术方案.在基础信息数字化和可视化的基础上,开发了小城镇地震数字仿真与应急调度系统,实现了基于地震数字仿真结果,在相关数据库支持下进行地震应急调度决策.实践证明:该系统的运行,有利于小城镇抗震减灾的迅速决策;小城镇空间数据库的建库技术,贴合我国小城镇信息化的现状,技术可行、经济合理.     

城市公共安全规划与灾害应急管理的集成研究

随着城市公共安全理论研究与应用的不断深入,对于安全规划与灾害应急管理的孤立研究已渐露弊端.探讨了研究城市公共安全规划与灾害应急管理的融合模式,剖析了城市公共安全规划的空间范围与应变管理空间需求之间的关系,提出了以整合观和可持续发展观构建城市公共安全规划,以空间观构建城市应急管理机制的设想.在此基础上,根据有效服务范围和资源量,提出了城市各类防救灾设施的规划标准与建构模式,以建立城市救灾单元区域.     

Human Diets and Animal Welfare: the Illogic of the Larder

Few moral arguments have been made against vegetarian diets. One exception is the “Logic of the Larder:” We do animals a favor by purchasing their meat, eggs, and milk, for if we did not purchase these products, fewer animals would exist. This argument fails because many farm animals have lives that are probably not worth living, while others prevent a significant number of wild animals from existing. Even if this were not so, the purchase of animal products uses resources that could otherwise be used to bring a much greater number of animals into existence.     

危险废物处置综合废水处理系统优化研究

固体废物处置中心能够对多种固体废物和危险废物进行处置,在处置过程中产生的废水水质复杂,因此需要对废水进行综合处理,去除废水中的重金属和有机物。为了达到废水排放标准,以某固体废物处置中心的废水处理设施为研究对象,对处理设施中的还原沉淀和曝气生物滤池等环节进行优化,得出其最优的运行参数,结果显示:亚铁与六价铬物质量比为20∶1,曝气气水比为4,水力停留时间为2h时,出水的各项检测指标均达到废水排放标准限值。     

基于自动水位补偿的含水煤层瓦斯压力测定方法研究

通过研究含水煤层瓦斯压力测定方法现状,确定主要影响测定结果的因素为水压干扰、煤泥水干扰。针对以上问题提出了测定新方法,运用自动水位补偿方法剔除水压对测定结果的干扰,通过设计装有复合材质倾斜滤网的煤泥沉淀池,完成对煤泥的过滤和导流,实现对煤泥水的净化。此方法直接测定瓦斯压力,避免反推计算,从而减小了环境因素对测定结果的干扰。依据理论设计了含水煤层瓦斯压力测定装置,并进行了井下对比试验,现场试验结果表明:运用新设计装置测定结果比普通方法更接近理论值,数据利用价值高。该装置操作简单、自动化程度高、测定结果准确,可为含水煤层瓦斯治理提供数据支持,确保生产安全。     

Study on the relationship between the incidence of influenza and climate indicators and the prediction of influenza incidence

In recent 2 years, the incidence of influenza showed a slight upward trend in Guangxi; therefore, some joint actions should be done to help preventing and controlling this disease. The factors analysis of affecting influenza and early prediction of influenza incidence may help policy-making so as to take effective measures to prevent and control influenza. In this study, we used the cross correlation function (CCF) to analyze the effect of climate indicators on influenza incidence, ARIMA and ARIMAX (autoregressive integrated moving average model with exogenous input variables) model methods to do predictive analysis of influenza incidence. The results of CCF analysis showed that climate indicators (PM2.5, PM10, SO₂, CO, NO2, O₃, average temperature, maximum temperature, minimum temperature, average relative humidity, and sunshine duration) had significant effects on the incidence of influenza. People need to take good precautions in the days of severe air pollution and keep warm in cold weather to prevent influenza. We found that the ARIMAX (1,0,1)(0,0,1)₁₂ with NO₂ model has good predictive performance, which can be used to predict the influenza incidence in Guangxi, and the predicted incidence may be useful in developing early warning systems and providing important evidence for influenza control policy-making and public health intervention.