Algal Bloom Forecasting using Remote Sensing with Spatially and Temporally Sparse Satellite Data

This research presents a method for forecasting algal blooms using remote sensing with spatially and temporally sparse satellite data. The method involves the use of multiple interpolation methods to interpolate the sparse input data. The approach is shown to be effective in predicting algal blooms in areas where data is sparse, and the results...

Optical sensing of chlorophyll(in) with dual-spectrum Si LEDs in SOI-CMOS technology

Small and low-cost chlorophyll sensors are popular in agricultural sector and food-quality control.Combining such sensors with silicon CMOS electronics is challenged by the absence of silicon-integrated light-sources.We experimentally achieve optical absorption sensing of chlorophyll based pigments with silicon (Si) micro light-emitting...

Remote Sensing: Deriving water quality indicators from high-resolution satellite data using spatio-temporal statistics

The derivation of water quality indicators is of importance, especially in coastal areas, as most of the economic activities are located here. However, the availability of high-spatial-resolution water quality information in coastal zones is limited. Nowadays, high-resolution satellite data is becoming available and can fill in this knowledge...

Piping in sandy tidal deposits: Design of field experiments on piping through sandy tidal deposits in the Hertogin Hedwigepolder

In the Netherlands dikes are assessed on piping using the model developed by Sellmeijer. This model is calibrated on experiments with permeable, homogeneous, fluvial sand with no fines and covered by an impermeable cohesive layer. In tidal areas, however, the sand deposits are strongly heterogenous, contain fines and are influenced by...

Improving the Algal Bloom Prediction in the North Sea by Ensemble Kalman Filtering in the GEM/BLOOM Model

The ecological state of the North Sea surface water can be indicated by ocean variables such as the Chlorophyll-a (Chlfa) concentration. Chlfa is the principal photosynthetic pigment and is common to all phytoplankton and can therefore be used as a measure of phytoplankton biomass. The GEM/BLOOM model developed at Deltares is a generic...

Data Assimilation for Marine Ecosystem Models

In the presence of environmental issues caused by climate change and eutrophication, ecosystem models capable of providing accurate predictions are of considerable interest. Even the most advanced ecological models are not capable of reproducing reality perfectly, therefore it is essential to integrate them with the available observations. Data...

Enhancing Algae Bloom Prediction in the North Sea: A Bayesian Belief Net Approach

Water quality modeling has become an important research field over the past decades due to the increasing interest in studying the effects that human activities have on the water ecosystems. The BLOOM model is a tool used to determine the quality of marine or coastal waters by means of the estimation of the chlorophyll-a concentration. In this...

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...

Charge Carriers and Excited States in Supramolecular Materials

The field of organic electronics has been thriving for the last decades due to growing commercial interest. One of the advantages of using organic materials as semiconductors is the possibility to tune their optoelectronic properties by modifying the chemical structure and organization of the building blocks. In this thesis, the properties of...

Effect of Arsenic on Photosynthesis, Growth and its Accumulation in the Tissues of Allium cepa (Onion)

Arsenic is a well known carcinogenic element, that can harm not only human health but, plant and bacteria as well. Replicated experiments confirmed that, Arsenic accumulates in the different tissues in different parts of the plant and, adversely affects the growth and productivity of the plants. It is a threat for millions of population in terms...

Effectenstudie naar een extra spuimiddel in de Afsluitdijk: GEM scenarioberekeningen