Performing data assimilation experiments with hydrodynamic models: A Java Sea case

Floods are a big problem for Jakarta; the capital of Indonesia is subsiding below mean sea level and floods will become more frequent. Flood protection and measures against subsidence are, therefore, of high importance to Jakarta’s government. One of the options they are studying is a great sea wall to regulate the water levels in Jakarta Bay....

Numerical Investigation of Inverse Analyses Using Hydraulic Measurements of Embankments

For decades, researchers try to model the subsoil as accurate as possible in order to make cost-efficient and safe geotechnical decisions. A troublesome aspect in modelling of the soil is to determine the heterogeneity within the soil, as this is usually associated with a great deal of uncertainty. Delft University of Technology used a recursive...

Short-term traffic prediction in road traffic control centres: Efficient traffic state estimation based on a localized deterministic Ensemble Kalman Filter

Traffic state estimations and predictions are essential parts for dynamic traffic management applications. This thesis consists of two parts: firstly the requirements for application of a traffic prediction tool in a road traffic management center are analysed, and a design is made for a tool to function in non-recurrent conditions and cope with...

Improving the Algal Bloom Prediction on the North Sea by Dual Ensemble Kalman Filter in GEM Model

Increasingly, the phytoplankton blooms (algal blooms) become a public health concern and a worldwide ecological problem. The Generic ecological model (GEM) plays a very important role to assess ecological quality of the Dutch coastal waters and the southern North Sea. Algal blooms can also be predicted by the GEM model mainly through chlorophyll...

Non-Parametric Bayesian Networks (NPBNs) versus Ensemble Kalman Filter (EnKF) in Reservoir Simulation with non-Gaussian Measurement Noise

Lately, the objective of reservoir engineering is to optimize hydrocarbon recovery from a reservoir. To achieve that goal, a good knowledge of the subsurface properties is crucial. The author is concerned with estimating one of the properties of the field: the permeability of a reservoir. To characterize the fluid flow, a two phase (oil-water)...

Assimilating GRACE Terrestrial Water Storage observations into a hydrological model

Based on satellite observations of Earths time variable gravity field from the Gravity Recovery and Climate Experiment (GRACE), it is possible to derive variations in terrestrial water storage. Tiny variations of gravity from monthly into a decade time scales are mainly due to redistributions of water mass inside the surface fluid envelops of...

History Matching via Ensemble Kalman Filter of Norne Field

The very popular method, namely, Ensemble Kalman Filter is used to history match the E-segment of the Norne Field reservoir. A complete history matching workflow for a real reservoir requires to focus on a variety of issues involved. According to EnKF method there is a need to create initial ensemble and since the part of the field is considered...

Data assimilation of GRACE terrestrial water storage data into a hydrological model using the Ensemble Kalman Smoother: A case study of the Rhine river basin

Terrestrial water storage (TWS) can be defined as the storage of water on and below the land surface, and includes snow, ice, surface water, soil moisture, and ground water. TWS is a key component of the terrestrial and global hydrological cycles, which have important control over the water, energy and biogeochemical fluxes, and plays a major...