SEASONAL PUMPING VARIATION EFFECTS ON WELLHEAD PROTECTION AREA DELINEATION1

ABSTRACT: Delineation of a welihead protection area (WHPA) is the key element in welihead protection programs for drinking water supplies. WHPAs are often delineated under idealized conditions using simple steady-state assumptions, which lead to an incorrect estimation of area and geometry. In this paper, we compare the results from a simple steady-state procedure commonly employed in WHPA delineation with a more complex transient approach that allows consideration of seasonal variation in pumping rates. We also introduce a transient procedure to delineate time-related capture zones using a numerical ground water flow and transport model. Welihead delineation is examined for two municipal wells in Tipton, Oklahoma, using a ten-year time-of-travel criterion. In the steady-state procedure, where we assumed constant pumping rates, we used GPTRAC, a semi-analytical model, and MOC, a numerical model. The capture zone delineated by GPTRAC is comparable in shape with the capture zone delineated by MOC but not in size due to the differences in solution schemes. In the transient procedure, we used MOC and considered the seasonal variation in pumping rates. The capture zones delineated in this procedure were larger than the capture zones delineated by the steady-state procedure using the same model. Further analysis showed that a higher drawdown was predicted in the transient procedure than in the steady-state procedure, which is the reason for larger capture zones.     

A DYNAMIC BACTERIAL MODEL FOR A RECREATIONAL LAKE1

ABSTRACT A dynamic mathematical model was constructed to examine bacterial contamination problems affecting Ford Lake, a small recreational lake in Southeast Michigan. The model was calibrated and verified using summer dry weather averaged data and data from three wet weather surveys. Model simulations demonstrated that the major bacterial contamination was attributable to storm related perturbations affecting two point sources: the Huron River and the Ypsilanti Sewage Treatment Plant. The nonpoint source contribution was relatively minor. The Model is currently being used by the State of Michigan Department of Natural Resources as a management tool for assessing the effectiveness of planned pollution abatement strategies     

我国双车道公路事故预测模型研究中数据采集

事故预测模型的研究可为公路设计人员提供有效的安全设计工具。该研究需要大量基础数据的支撑,数据采集量的大小、数据质量和数据分析水平直接决定研究成果的优劣。笔者在双车道公路事故预测模型研究过程中,对我国双车道公路安全影响要素进行分析,确定基于现有条件下比较理想的数据采集对象,总结了数据采集的方法及其不足之处。具体包括数据采集的范围,样本量的需求,事故数据、交通组成数据、路侧、接入口和路线数据采集的方法、数据处理方式等。     

Modeling Stream Channel Characteristics From Drainage‐Enforced DEMs in Puget Sound,Washington, USA1

Abstract: Mapping stream channels and their geomorphic attributes is an important step in many watershed research and management projects. Often insufficient field data exist to map hydromorphologic attributes across entire drainage basins, necessitating the application of hydrologic modeling tools to digital elevation models (DEMs) via a geographic information system (GIS). In this article, we demonstrate methods for deriving synthetic stream networks via GIS across large and diverse basins using drainage‐enforced DEMs, along with techniques for estimating channel widths and gradient on the reach scale. The two‐step drainage enforcement method we used produced synthetic stream networks that displayed a high degree of positional accuracy relative to the input streams. The accuracies of our estimated channel parameters were assessed with field data, and predictions of bankfull width, wetted width and gradient were strongly correlated with measured values (r² = 0.92, r² = 0.95, r² = 0.88, respectively). Classification accuracies of binned channel attributes were also high. Our methodology allows for the relatively rapid mapping of stream channels and associated morphological attributes across large geographic areas. Although initially developed to provide salmon recovery planners with important salmon habitat information, we suggest these methodologies are relevant to a variety of research and management questions.     

障碍物场中预混燃烧火焰的数值模拟

利用k-ε湍流模型和拉切滑(SCASM)预混燃烧模型,对障碍物场中预混燃烧火焰进行了三维空间数值模拟。通过对控制方程添加不同的源项以反映障碍物对流场的影响,采用交错网格控制容积法将计算区域进行离散,用SIMPLE算法求解离散控制方程。模拟结果表明,障碍物的存在改变了燃烧流场的结构,成为加速燃烧甚至诱导爆炸过程的不稳定因素。该研究结果对有效预测障碍物场中火焰走势及其流场的分布情况,加强人们对火焰传播规律的认识,对预防工业灾害有重要参考价值。     

区域环评中大气环境容量估算的研究进展

综述了大气污染物区域环境容量的主要影响因素、用于其计算的空气质量模型以及大气环境容量的研究步骤。现阶段应用较广泛的大气环境容量的预测模型有A-P值法模型、箱模型、线性优化模型、ADMS模型及多种模型相结合的复合模式等，通过研究分析，提出了存在的主要问题及其有效的解决途径。     

达州市国内旅游市场回归预测模型研究

旅游市场预测可以帮助旅游地掌握市场需求的变化及其发展趋势，是旅游地制定发展战略和市场营销决策的基本依据。以达州市国内旅游市场为研究对象，主要从统计学的角度，建立达州市国内旅游市场的预测模型，并结合达州市旅游业的发展战略趋势，对达州市国内旅游市场进行预测，这对达州市旅游业的健康发展具有一定的指导意义。     

巷道内粉尘二次飞扬规律的数值模拟研究

针对巷道中沉积粉尘二次飞扬的现象,利用数值模拟的方法对粉尘二次飞扬进行了研究,分析了巷道内粉尘二次飞扬的极限风速与扬尘粒径之间的关系,从而为矿井通风除尘提供一定参考依据,给矿井工人创造良好的工作环境。     

湍流模型对预测街道峡谷污染物扩散的影响

文章选取标准k-ε湍流模型、RNGk-ε湍流模型、realizablek-ε湍流模型和单方程Spalart-Allmaras涡黏系数模型对街道峡谷附近的流动和汽车尾气污染物扩散进行了模拟,并与风洞试验值进行了比较,结果表明,4种模型对街谷壁面的浓度预测在趋势上与试验值基本一致,Spalart-Allmaras模型的预测效果最好,realizablek-ε模型预测最差,而标准k-ε模型和RNGk-ε模型的预测介于其间;RNGk-ε模型和realizablek-ε模型的修正作用在预测建筑物尖角和顶部附近的流动处有所体现,但对街谷内浓度分布的预测仍不如标准k-ε模型;本文从流场分布的特点对4种模型的浓度预测差别进行了解释,证明了壁面浓度与其附近的速度和湍流黏性系数的分布相对应。     

生活污水典型有机污染物与ASMs模型水质特性参数相关性研究

研究了生活污水中典型有机污染物糖类、蛋白质、油脂以及直链烷基苯磺酸钠（LAS）对生活污水中COD的贡献率,采用硝酸盐利用速率法（NUR）测定了活性污泥数学模型（ASMs）中的有机水质特性参数,分析了单一糖类、蛋白质、油脂、LAS对有机水质特性参数的影响,并给出了生活污水中这4种有机污染物与ASMs有机水质特性参数S_S、X_S、S_I、X_I的相关关系.结果表明,反硝化条件下异养菌产率系数为0.683;蛋白质、糖类、油脂和LAS分别占COD的24%～35%、 17%～35%、 5.78%～10.56%和 3.77%～7.23%,是污水中COD的主要化学组成成分;该污水中的快速生物降解物质占总COD的22%～29%,慢速可生物降解物质占29%～38%;生活污水中糖类、蛋白质、油脂、LAS这4种典型有机物的浓度与ASMs的水质特性参数S_S、X_S、S_I、X_I的相关性较好,相关系数>0.9.