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布拉德·芬尼博士和伦敦大学帝国理工学院的布鲁斯·贝克博士之间的合作研究。调查人员将与英国贝德福德·乌斯河联合开展一项关于使用运行控制进行流域水质管理的可行性研究。作为案例研究。贝德福德乌斯河是英格兰最大的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，观测到的浓度经常超过世界卫生组织的饮用水使用标准。这种情况可能会因为米尔顿·凯恩斯新城在集水区源头的废水排放而加剧。建立流域动态模拟模型，包括处理厂进水、处理厂运行、入河非点源径流、河流水质模拟和饮用水处理厂运行情况。系统辨识和参数估计将使用递归时间序列算法的最新进展来解决。该模拟模型将用于确定和审查减少处理厂对下游用水用户影响的运行策略。该模型将为改进贝德福德Ouse的管理提供一个实用的工作工具。这项研究将改进河流水质流域管理的方法，增加对系统识别程序的使用的理解，并将研究与美国实践有很大不同的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.