Understanding pollutant transport in estuaries and coastal rivers

通过推进污染物传输模型，使用漂移传感器的最新发展，该项目旨在调查河口和沿海河流在城市增长压力下的水质。该项目预计将通过对拉格朗日相干结构的检测和创新分析，产生定量颗粒浓度预测的新能力。预期的成果是一个新的粒子传输模型框架和算法的浅水系统，有效地利用广泛的数据集成为可用的GPS启用漂移。这将带来重大的好处，如可靠地评估集水区和水道变化对污染物和沉积物浓度的可能影响，从而影响水道健康。

By advancing pollutant transport modelling that use recent developments in drift sensors, this project aims to investigate water quality of estuaries and coastal rivers under pressure from urban growth. The project expects to generate a new capability for quantitative particle concentration predictions through detection and innovative analysis of Lagrangian Coherent Structures. The expected outcome is a new particle transport modelling framework and algorithms for shallow water systems, which effectively exploit extensive datasets becoming available from GPS-enabled drifters. This should provide significant benefits such as reliable assessment of possible effects of catchment and waterway changes on pollutant and sediment concentration which can impact waterway health.