US-UK Cooperative Research: Operational Water Quality Control for River Basin Management

该奖项将支持洪堡州立大学的Brad Finney博士和伦敦大学帝国理工学院的Bruce Beck博士之间的合作研究。调查人员将以贝德福德乌斯河（英国）为例，对使用操作控制进行流域水质管理的可行性进行联合研究。贝德福德河是英格兰最大的河流流域之一的主要河流。这条河目前存在潜在的严重硝酸盐问题，观察到的浓度经常超过世界卫生组织的饮用水标准。这种情况可能会因新城市米尔顿凯恩斯在集水区源头排放的废水而恶化。将完成一个动态流域模拟模型，包括流入处理厂的水、处理厂的运行、非点式集水区流入河流的径流、河流水质模拟和饮用水处理厂的性能。系统识别和参数估计将使用递归时间序列算法的最新进展来解决。模拟模型将用于确定和审查减少处理厂对下游水用户的影响的操作策略。该模型将为改进贝德福德旅馆的管理提供一个实用的工作工具。这项研究将产生改进的河流水质流域管理方法，将导致对系统识别程序使用的更多理解，并将检查与美国实践的河流流域制度结构如何鼓励更有效的河流水质管理。

This award will support collaborative research between Dr. Brad Finney, Humboldt State University and Dr. Bruce Beck, Imperial College of Science and Technology, University of London. The investigators will carry out a joint study on the viability of using operational control for river basin water quality management with the Bedford Ouse river (U.K.) serving as a case study. The Bedford Ouse is the major river in one of the largest river basins in England. The river currently has a potentially serious nitrate problem, with observed concentrations frequently exceeding the World Health Organization standard for potable water use. This situation may be aggravated by the wastewater discharge from the new city of Milton Keynes at the headwaters of the catchment. A dynamic river basin simulation model will be completed that includes influent to the treatment plant, treatment plant operation, nonpoint catchment runoff to the river, river water quality simulation and potable water treatment plant performance. System identification and parameter estimation will be addressed using recent advances in recursive time series algorithms. The simulation model will be used to identify and examine operational strategies for reducing the effect of the treatment plant on downstream water users. The model will provide a practical working tool for improved management of the Bedford Ouse. The study will produce improved methodologies for river water quality basin management, will result in increased undrstanding of the use of system identification procedures, and will examine how a river basin institutional structure much different than that practiced in the U. S. can encourage more efficient river water quality management.