Download presentation
Presentation is loading. Please wait.
Published byKathleen Golden Modified over 6 years ago
1
Water depth prediction for optimizing the IWT sector
Rolien van der Mark SMART RIVERS 2017 – Pittsburgh, USA, September 2017
2
Inland Waterway Transport in EU
Port of Rotterdam (NL) is the hub of Europe Some numbers: About inland ships in EU ton cargo each day liter fuel each day kg CO2 emission each year Alluvial rivers, continuous dredging / sediment management 20 september 2017
3
Needs from IWT-sector If we would know more about the actual state of the river: Optimal loading of ships Optimal sailing along the river Better ship performance (fuel/tkm) Reduction in emission of CO2 Efficient dredging … ….. More reliable ETA Waterborne transport more attractive alternative for road/rail Accurate and actual river data and tools are needed! 20 september 2017
4
CoVadem: big data for smarter inland shipping
19 juli 2018 CoVadem: big data for smarter inland shipping Inland ships measure, we log & store data Position, UKC, fuel consumption, … Now ~50 ships, will increase Existing sensors Valuable data set Ship data smart tools Also see presentation by Van Wirdum, at this Smart Rivers Conference (2017)
5
One of the objectives of project CoVadem+
Development of a (mobile) application that displays actual and forecasted water depths in realtime To optimally plan how much cargo to take (before trip) To optimally sail through deep parts of the river (during a trip) Traject: Rotterdam – Maxau 600 km of Rhine river 20 september 2017
6
End-User meetings Needs inland shipping companies: Forecasts
Better forecasts of water levels Forecasts of water depths Insight in how forecasts are derived Reliable data about ship and the river Actual bed levels Measuring is knowing No tools available Tools for more efficient loading and sailing! 20 september 2017
7
Approach Actual + forecasted water levels are calculated using an operational 1D model Actual + forecasted water depths Maxau Actual bed levels derived from CoVadem data Rotterdam 20 september 2017
8
CoVadem+ architecture
DIM FEWS PI Service (scalar data) Webaplicatie proxy FEWS Import Module CoVadem track data API DCM FEWS Archive Netcdf DIM FEWS Archive Data storage Preprocess Netcdf + xml Netcdf DIM Matlab processing System runs 24/7 System runs automatically Produces forecasts every 2 hours Aggregates realtime CoVadem track data Postprocess 20 september 2017
9
Operational 1D model Meteorology 20 september 2017 Hydrology
Water level 20 september 2017
10
Actual bed levels – validation
CoVadem data used to derive realtime bed level Extensive validation performed: multibeam versus CoVadem track data Period of 4 months of CoVadem tracks, > 500 tracks from 50 ships In general, there is good agreement between both data sets More details and results in Van der Mark et al. (2015) Automatic calibration possible at fixed points (Cotteleer & van der Mark, 2017) Bed level (m + datum) 5 m 10 km Distance along the river (km) 20 september 2017
11
Actual bed levels – processing
Ship tracks UKC Water depth Bed level bed level Gridded per polygon Min bed level Every 2 hours new actual bed level calculated realtime based on newest CoVadem data 20 september 2017
12
First beta version of application
20 september 2017
13
Summary & Conclusions The CoVadem initiative works on cleaner & smarter inland shipping by gathering data by ships and developing services One objective of Project CoVadem+ is the development of a (mobile) application that displays actual and forecasted water depths in realtime Needs of end-users are investigated Operational system has been setup that calculates actual and forecasted water levels, bed levels and water depths along the river 6 days ahead First beta version has been released successfullylast month Application will be extended with bridge clearance and other wishes of users 20 september 2017
Similar presentations
© 2025 SlidePlayer.com. Inc.
All rights reserved.