A Study of the Application of Ocean Surface Current Radar Systems to the Identification of Outfall Mixing Zones

海面海流雷达系统在排污口混合区识别中的应用研究

• 批准号: 9320253
• 负责人: David Chin
• 金额: $ 10.35万
• 依托单位: University of Miami
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-07-01 至 1998-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9320253&HistoricalAwards=false
• 关键词: Study; Application; Ocean; Surface; Current

9320253 Chin This project explores the application of ocean surface current radar (OSCR) systems to the identification of outfall mixing zones. A single deployment of an OSCR system is typically equivalent to deploying over 1,000 current meters, with spacings between current meters on the order of a few hundred meters. Clearly, OSCR systems have the capability to define ambient surface currents in far greater spatial and temporal detail than is currently feasible using any other method of measurement. This study will investigate whether data derived from short-term OSCR deployments can be effectively incorporated in a (far-field) mixing model that describes the dispersion of contaminants discharged from sewage outfalls. This project is composed of three tasks: (1) Verify the stationarity of spatial current patterns measured by short-term (on the order of a month) OSCR deployments; (2) Develop an algorithm to utilize OSCR measurements to simulate mixing of contaminants discharged from ocean outfalls; and (3) Utilize the developed algorithm to predict dispersion at a site where OSCR measurements are available, and validate the algorithm by comparing the predicted and measured dilutions. ***

9320253本项目探索海洋表面流雷达（OSCR）系统在识别排放混合区中的应用。 OSCR系统的单次部署通常相当于部署超过1，000个流速计，流速计之间的间距大约为几百米。 显然，OSCR系统有能力在更大的空间和时间细节比目前使用任何其他测量方法可行的定义环境表面电流。 本研究将调查是否来自短期OSCR部署的数据可以有效地纳入（远场）混合模型，描述了从污水排放口排放的污染物的分散。 本课题由三个部分组成：（1）验证短期电流空间分布的平稳性（2）开发一种算法，利用OSCR测量结果模拟海洋排放口排放的污染物的混合;以及（3）利用所开发的算法来预测OSCR测量可用的站点处的分散，并且通过比较预测的稀释度和测量的稀释度来验证算法。 ***