Predicting and measuring the characteristics of sediments generated by dredging
Characterisation and prediction of dredge-generated sediment plume dynamics and fate
Dredging Science Program: Theme 2 and 3
Location: Pilbara and Kimberley
Project Leader:,Graham Symonds, CSIRO
Telephone: 6369 4015
Theme 2/3 will study near- and far-field plumes around the Chevron Wheatstone dredging program (due to commence in 1st quarter 2013).
The overall objective of this project is;
To develop protocols and guidelines for field, lab, remote sensing and numerical modelling procedures for (a) predicting and (b) monitoring dredge plume dispersal and the corresponding zones of impact.
To achieve this objective the project aims to improve understanding of the key physical processes that control the extent, intensity and duration of dredge generated sediment plumes from the actual dredge site and dredge spoil grounds and the deposition/resuspension processes across a range of habitats that may lead to further dispersal by currents and waves. The theme consists of numerical modelling, laboratory experiments, and a coordinated field program. Field measurements of sediment and plume characteristics will be obtained from the near-field dynamic plume to the full extent of the passive plume. In addition, measurements of the smaller-scale sediment transport processes, which control the deposition and resuspension of dredge plumes over a range of benthic substrates and habitat types, will be undertaken. These results will improve predictions of zones of impact and provide necessary datasets to map ecological responses (as defined by other themes).
Dorji P, Fearns P (2017) Impact of the spatial resolution of satellite remote sensing sensors in the quantification of total suspended sediment concentration: A case study in turbid waters of Northern Western Australia. PLoS ONE doi.org/10.1371/journal.pone.0175042
Dorji P, Fearns P. A. (2016) Quantitative Comparison of Total Suspended Sediment Algorithms: A Case Study of the Last Decade for MODIS and Landsat-Based Sensors. Remote Sensing. 2016; 8(10):810 doi:10.3390/rs8100810
Dorji P, Fearns P, Broomhall M (2016) A Semi-Analytic Model for Estimating Total Suspended Sediment Concentration in Turbid Coastal Waters of Northern Western Australia Using MODIS-Aqua 250 m Data. Remote Sensing. 2016; 8(7):556 doi:10.3390/rs8070556