基于水质特征因子和Monte Carlo理论的

基于水质特征因子法,引入蒙特卡罗理论,建立了分流制排水系统雨污混接诊断的定量分析方法.以上海市某混接分流制排水系统为研究对象,采用安赛蜜和总氮、氟化物、硬度分别作为表征生活污水、半导体工业废水和地下水混接的水质特征因子,对雨水管网混接来源进行了解析.与观测值对比验证表明,由于蒙特卡罗方法考虑了混接来源中多个混接点空间质量浓度差异性以及测量误差等不确定性因素,与目前采用的确定性解析方法相比,可以显著提高解析结果的可靠性,在实现解析结果闭合的同时,解析误差能够控制在10%以内.据此,提出了建立水质特征因子数据库的指导原则.     

基于特征因子的排水管网地下水入渗分析方法

采用基于水质特征因子的雨污水管网化学质量平衡方程,建立了污水管网和混接污水管网的地下水入渗量定量分析方法,并据此建立了管道破损程度的评价方法.针对上海市中心城区的3个排水系统,采用总氮和硬度分别作为表征生活污水和地下水的水质特征指标,并采用不确定性分析理论,对该区域雨污水管网系统的地下水入渗量进行了解析.计算结果表明,管道破损不严重,地下水入渗量符合设计要求,管网破损程度评估结果符合预期管道状态;表明提出的基于水质特征因子的地下水入渗量的分析计算方法可行,可用于管网破损和维护判断.与德国和美国标准相比,我国排水管道地下水入渗基准值较高,表明我国管道施工和养护技术有待进一步提高.     

基于水质特征因子和Monte Carlo理论的雨水管网混接诊断方法

基于水质特征因子法,引入蒙特卡罗理论,建立了分流制排水系统雨污混接诊断的定量分析方法.以上海市某混接分流制排水系统为研究对象,采用安赛蜜和总氮、氟化物、硬度分别作为表征生活污水、半导体工业废水和地下水混接的水质特征因子,对雨水管网混接来源进行了解析.与观测值对比验证表明,由于蒙特卡罗方法考虑了混接来源中多个混接点空间质量浓度差异性以及测量误差等不确定性因素,与目前采用的确定性解析方法相比,可以显著提高解析结果的可靠性,在实现解析结果闭合的同时,解析误差能够控制在10%以内.据此,提出了建立水质特征因子数据库的指导原则.     

基于特征因子的食品工业废水排放追踪方法

针对雨水管网中工业废水接入导致的混接污染排放,以及污水管网中工业废水突发的非正常排放冲击问题,选择我国典型农副食品加工及食品制造企业,通过对企业排放废水中候选水质特征因子的稳定性及显著性分析,得出钾、钠、氯化物等无机盐对食品行业废水具有较普遍的表征性,且与电导率具有良好的相关性,为废水排放实时监控提供了可行性.在此基础上,给出了识别食品行业废水排放的无机盐质量浓度和电导率参照值,提出了基于节点水质监测的雨污水管网中工业废水排放追踪定位方法.     

深圳老城区局部雨污管网水质水量检测

为了给城市居民区雨污管网改造提供依据,通过在不同时段,特别是降雨时期对市区某段管网进行连续采样检测,研究了这种部分混流的分流制管网中,水质水量的变化特征.实验结果表明:在非雨期,由于错接,雨水管中仍有大量水排出,污水管中水量始终明显大于雨水管中水量,各项污染物指标包括溶解性有机碳(DOC)、总氮(TN)、 氨氮(NH3-N)和总磷(TP)的日峰值浓度均高于雨水管中浓度,且污水管中污染物浓度日变化量较雨水管中稳定.在降雨时,雨水管、污水管内各类污染物浓度变化不明显.     

城市排水系统智慧决策技术研究综述

智慧决策是智慧水务的核心关键技术。围绕城市排水系统的提标增效,从管网诊断评估、城市内涝防治和雨天溢流污染控制3个方面,对城市排水系统智慧决策的实现模式进行了评述。在管网诊断评估方面,综述了基于水量、水质特征因子分区监测的水量来源溯源定位方法;在城市内涝防治方面,综述了基于数值化模型的内涝风险精细化模拟评估和机器学习模型的降雨实时预报、局部积水深度快速预报实现模式;在溢流污染控制方面,综述了基于多目标优化算法、数值模型和机器学习相结合的排水系统优化调度实现模式。模型系统的可靠性是智慧排水决策的关键,应重视管网水量来源定量解析和排水系统内涝风险预警、优化运行调度的融合。     

矿井防尘供水管网水力水质模拟实现方法与应用

水力水质模型构建及模拟是研究供水管网性能的重要手段. 为了实现在MATLAB环境中调用EPANET水力水质计算引擎,研究矿井防尘供水管网水力水质特征,实现并对比分析了两种有效的EPANET-MATLAB对接方法,并基于其中面向对象的数据结构调用方式混合编程,构建了矿山井下防尘供水管网水力水质模型;结合防尘管网日用水需求,对水力工况和水龄分布分别进行了24h和48h动态模拟. 研究表明:使用EPANET-MATLAB Toolkit的混合编程更加灵活、高效,是进行水力水质模拟与分析的有效途径;防尘供水管网用水具有周期性,呈现明显的高峰和低峰时段;用水节点的水压变化范围约为1.5~5.5MPa,其变化规律与用水量变化呈负相关;水龄变化也具有日周期性的特点,不同用水节点的水龄呈现不同的波动特征;用水节点距离水源越远,其水龄相对较大,所有用水节点的水龄都在15h以内.     

江西南部某市排水工程设计

该设计是江西南部某市的排水工程设计,设计主要分排水管网和污水处理两部分.排水管网采用分流制,分污水管网和雨水管网两部分.考虑地势与经济等因素,污水管网采用截流式布置,雨水管网采用正交式布置.污水管网采用两个方案,从技术、经济方面进行比较选择优先方案.污水处理厂的设计以近期的最大污水量(Q=96630 m3/d)为设计标准,污水处理厂的排水水质达到二级排放标准,即SS、BOD5排放浓度分别为30 mg/L、30 mg/L.     

供水管网模型水质不确定性研究

供水管网模型是保障供水管网水质安全的重要手段,受输入参数不确定影响水质模型计算的水质值是不确定的;为研究节点基本用水量、水损系数、主体水反应系数和管壁反应系数对供水管网水质特性的影响,提出了在假定他们的随机变化服从正态分布的条件下,采用蒙特卡罗随机抽样法,应用动态的水质模型计算得到节点水质的分布特征,给出了算法在管网中的应用;结果表明：当所有不确定输入参数共同作用时,节点水质的不确定性最大,水质反应系数是对节点水质不确定性影响程度最大的参数.     

基于用户水质投诉信息的供水管网污染源追踪定位

突发性水污染事故事发突然,污染物扩散迅速,对供水管网水质安全危害巨大.在缺乏足够水质监测设备的城市,用户对管网的水质投诉信息可及时反映管网水质情况.根据用户水质投诉的位置信息,利用改进的污染矩阵法查找管网候选污染源节点,再通过概率理论分析各候选污染源节点中是污染源的可能性,最后采用波达法则和数据标准化法两种方法评价最具可能性污染源.该方法的可行性和有效性通过某市管网实例进行了验证.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

Perspherical Approaches for Electrons in Atoms and Charged Excitons in Quantum Wells

Instead of following Fock’s expansion,we solve the Schrodinger equation for some quantum mechanical manybody systems such as electrons in atoms and charged excitons in quantum wells in a similar way in hyperspherical coordinates by expanding the wave functions into orthonormal complete basis sets of the hyperspherical hannonics(HHs)of hyperangles and generalized Laguerre polynomials(GLPs)of the hyperradius.This leads the equation to     

Advances in broadband wireless communications under high-mobility scenarios

Future mobile communication systems aim at providing very high data transmission rates, even in high-mobility scenarios such as high-speed wheel-track trains, maglev trains, highway vehicles, airplanes, guided missiles or spacecraft. A particularly important commercial application is the strong and increasing worldwide demand for high- speed broadband wireless communications （up to 574.8 km/ h test speeds or 380 km/h commercial speeds） in railways, providing data, voice and video services for applications such as onboard entertainment services to passengers, train control, train dispatch, train sensor status handling and sur- veillance. In such high-mobility scenarios, there are a number of communication challenges, including fast hand- over, location updating, high-speed channel modeling, estimation and equalization, anti-Doppler spreading tech- niques, fast power control, and dedicated network architec- ture. Because signal transmission in very high-speed scenarios will inevitably experience serious deterioration, it is imperative to develop key broadband mobile communi- cation techniques for such high-speed vehicles.     

Wuhan University Journal of Natural Sciences TOTAL CONTENTS

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海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Scale-based spatial data model for GIS

Being the primary media of geographical information and the elementary objects manipulated, almost all of maps adopt the layer-based model to represent geographic information in the existent GIS. However, it is difficult to extend the map represented in layer-based model. Furthermore, in Web-Based GIS, It is slow to transmit the spatial data for map viewing. In this paper, for solving the questions above, we have proposed a new method for representing the spatial data. That is scale-based model. In this model we represent maps in three levels: scale-view, block, and spatial object, and organize the maps in a set of map layers, named Scale-View, which associates some given scales.Lastly, a prototype Web-Based GIS using the proposed spatial data representation is described briefly.     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to