饮用水在蓄贮过程中二次污染数学模拟与应用研究

对饮用水在贮存过程中二次污染的原因进行分析,定性定量地模拟研究了在静态条件下,饮用水在蓄贮过程中二次污染的水质空间变化规律。     

水厂快滤过程动态模型的建立与识别

作为构建国家饮用水安全风险评估框架的一部分 ,开发了一种用于风险评估的水厂快滤过程动态模型。该模型通过对扩散、生物降解、吸附、脱附和反冲洗等过程的概化 ,建立了可模拟不同污染物的普适性水厂快滤动态模型。本模型以实际水厂的现场监测数据为依托 ,以CODMn、氨氮、浊度和微生物为例对模型进行了率定。结果表明模型较好地吻合了实际快滤过程。该模型将可有效地应用于评估不同过滤过程去除各种污染物的风险 ,以及识别饮用水安全风险关键控制点的工作。     

2015年海南省火电行业大气环境影响研究

基于火电企业在线监测数据、环境统计数据、排污许可及火电排放清单等，分析各统计口径下的海南火电大气污染物排放量差异，并基于在线监测数据分析海南省火电排放时间变化规律.分别设置现状、排污许可及超低排放3种情景，采用CALPUFF模型分析3种情景下火电厂对海南大气环境的影响.结果显示，不同统计口径下火电厂各污染物排放量差异较大，最大差值可达到5.65倍；在时间维度上，海南省火电行业污染物排放量月际分布较平稳，每月污染物排放量约占全年的7%~10%，24h变化呈现明显“两峰两谷”特征.在大气环境影响方面，火电企业大气SO₂、NO_x、PM_2.5、PM₁₀浓度分布总体呈现西部高东部低的趋势.现状情景下火电企业对各城市年均浓度影响范围为SO₂ 0.001~0.015μg/m³、NO_x 0~0.01μg/m³、PM₁₀ 0.001~0.006μg/m³、PM_2.5 0~0.003μg/m³，最高浓度基本出现在东方市、临高县.火电厂对大气环境的影响程度为许可情景>现状情景>超低情景，执行排污许可时火电厂排放PM₁₀和NO_x对各城市均值年均浓度较现状情景分别增加50%和38%；全面实施超低排放后，火电厂对大气环境影响有明显改善，SO₂和PM_2.5对各城市均值年均浓度较现状情景分别降低57%和69%.     

污水灌溉对水稻生长影响的模拟

本文根据各工厂污水排入大通河的负荷量，作污灌模拟试验。试验证明：１．各工厂排污所含有机物质超过一定量便对水稻生长及产量产生严重影响；２．用大通河水灌溉，也会影响水稻的生长及产量。这说明大通河水已受到各工厂污染物的严重污染。     

应用GIS模拟城市大气污染物浓度分布

从点源大气污染扩散模型出发,借助GIS的栅格与数据库运算功能,结合自已设计的推算流程,对兰州市大气污染物SO2的空间分布情况进行了模拟。经检验,该方法能够较准确的反映出兰州大气污染物的空间分布特征,较应用实测值进行插值的方法简便,具有较好的应用前景。     

采用微机控制气相色谱法在野外进行稻田甲烷排放率的连续观测

介绍一套稻田甲烷排放率的野外全自动观测系统。该系统采用微机控制、气相色谱法，在供电正常的情况下，实现了稻田甲烷样品的自动采集和分析，同时配有八个温度传感器，以测量空气、水及土壤的温度。温度和甲烷测定数据由微机自动贮存，可长期连续工作，无需值守。本系统对稻田甲烷测量的标准偏差为２４５μＶ·Ｓ（峰面积），变异系数为１．１８％（ｎ＝５）。若将色谱条件做适当改变，即可测量其它微量气体。     

On the selection of primary variables in numerical formulation for modeling multiphase flow in porous media

Selecting the proper primary variables is a critical step in efficiently modeling the highly nonlinear problem of multiphase subsurface flow in a heterogeneous porous-fractured media. Current simulation and ground modeling techniques consist of (1) spatial discretization of mass and/or heat conservation equations using finite difference or finite element methods; (2) fully implicit time discretization; (3) solving the nonlinear, discrete algebraic equations using a Newton iterative scheme. Previous modeling efforts indicate that the choice of primary variables for a Newton iteration not only impacts computational performance of a numerical code, but may also determine the feasibility of a numerical modeling study in many field applications. This paper presents an analysis and general recommendations for selecting primary variables in simulating multiphase, subsurface flow for one-active phase (Richards' equation), two-phase (gas and liquid) and three-phase (gas, water and nonaqueous phase liquid or NAPL) conditions. In many cases, a dynamic variable switching or variable substitution scheme may have to be used in order to achieve optimal numerical performance and robustness. The selection of primary variables depends in general on the sensitivity of the system of equations to the variables selected at given phase and flow conditions. We will present a series of numerical tests and large-scale field simulation examples, including modeling one (active)-phase, two-phase and three-phase flow problems in multi-dimensional, porous-fractured subsurface systems.     

基于神经网络的活性污泥系统建模及其控制

针对松江污水厂污水处理活性污泥系统,采用神经网络技术进行建模试验研究,在对实际运行数据剔除异常数据后,将样本数据随机分成训练样本、检验样本和测试样本.用试凑法确定合理的神经网络隐层节点数,用检验样本实时监控训练过程从而避免"过训练"现象,用多次改变网络初始连接权值求得全局极小点,从而建立了泛化能力较好的基于神经网络的活性污泥系统数学模型.利用建立的神经网络模型,对活性污泥系统运行情况的仿真与控制进行了分析研究.示例研究表明:神经网络技术能较好地应用于活性污泥系统的建模与控制,有很好的理论与实践意义.     

垃圾填埋场水分迁移模型的应用研究

以渗滤液回灌为核心的填埋场生化反应器是当今国际固体废物研究的新方向 ,其具有减少渗滤液处理难度和加速填埋场稳定化的作用 ,其中控制填埋场水分是关键。本文通过对填埋场水分运移特征的分析 ,建立了渗滤液回灌条件下 ,生化反应器填埋场水分迁移的饱和 -非饱和三维非稳定数学模型 ,并求其有限单元数值解 ,定量模拟和预报不同回灌条件下填埋场水分的时空分布规律并进行实用研究。针对重庆市长生桥卫生填埋场设计情况和实际条件 ,运移模拟模型分析了水平沟和竖式井回灌条件下填埋场内水分的分布规律 ,证明了协同回灌方式的有效性     

Investigation of hydrogeologic processes in a dipping layer structure: 2. Transport and biodegradation of organics

Numerical simulation tools have been used to study the dominating processes during transport of aromatic hydrocarbons in the unsaturated soil zone. Simulations were based on field observations at an experimental site located on a glacial delta plain with pronounced layered sedimentary structures. A numerical model for transport in the unsaturated zone, SWMS-3D, has been extended to incorporate coupled multispecies transport, microbial degradation following Monod kinetics and gas diffusive transport of oxygen and hydrocarbons. The flow field parameters were derived from previous work using nonreactive tracers. Breakthrough curves (BTC) from the hydrocarbon field experiment were used to determine sorption parameters and Monod kinetic parameters using a fitting procedure. The numerical simulations revealed that the assumption of homogeneous layers resulted in deviations from the field observations. The deviations were more pronounced with incorporation of reactive transport, compared with earlier work on nonreactive transport. To be able to model reasonable BTC, sorption had to be reduced compared to laboratory experiments. The initial biomass and the maximum utilisation rate could be adjusted to capture both the initial lag phase and the overall degradation rate. Nevertheless, local oxygen limitation is predicted by the model, which was not observed in the field experiment. Incorporation of evaporation and diffusive gas transport of the hydrocarbons did not significantly change the local oxygen demand. The main cause of the observed discrepancies between model and field are attributed to channelling as a result of small-scale heterogeneities such as biopores.