Searched for: contributor%3A%22Taormina%2C+R.+%28mentor%29%22
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Forte, Edoardo (author), Lena, Francesca (author), Zamuner, Agatha (author)
The Saigon River, coursing through Ho Chi Minh City, is a vital yet alarmingly polluted waterway. It ranks among the top 50 rivers globally contributing to plastic pollution. This study delves into the complex mechanisms governing the transport of floating plastic within a tidal system, such as the Saigon River.<br/>Our methodology adopts a...
student report 2023
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Solà Roca, Albert (author)
Water distribution networks (WDNs) provide drinking water to urban and rural consumers through a network of pipes that transport water from reservoirs to junctions. Water utilities rely on tools such as EPANET to simulate and analyse the performance of water distribution networks (WDNs). EPANET solves the flow continuity and headloss equations...
master thesis 2023
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van Marrewijk, Josine (author)
In this research the possibilities of the application of machine learning models at ‘Hoogheemraadschap van Delfland’ are studied. A random forest (RF) and an LSTM model are used for the prediction of the sum of the discharge in the next 2, 8 and 12 hours from the polders to the boezem canals. This research has showed the potential of machine...
master thesis 2023
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DENG, Jing (author)
Under future warmer climates, drought events are projected to occur more frequently with increasing impacts in many regions and river basins. This study focuses on exploring the potential of the LSTM deep learning (DL) approach for operational streamflow drought forecasting for the Rhine River at Lobith with a lead time (LT) of up to 46 days. ...
master thesis 2023
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Tempel, Nienke (author)
Hydrological models are commonly used to predict future streamflow. However, the assumption of stationary model parameters obtained through calibration on past conditions may not accurately represent non-stationarity in hydrological system characteristics. Evidence suggests that vegetation adapts its root zone storage capacity in response to...
master thesis 2023
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Mao, Kangmin (author)
Modeling the relationship between rainfall and runoff is a longstanding challenge in hydrology and is crucial for informed water management decisions. Recently, Deep Learning models, particularly Long short-term memory (LSTM), have shown promising results in simulating this relationship. The Transformer, a newly proposed deep learning...
master thesis 2023
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Niessen, Lex (author)
In the past decade, the application of Neural Networks (NNs) has received increasing interest due to the growth in computing power. In the field of computational mechanics, this has led to numerous publications presenting surrogate models to assist or replace conventional simulation methods. A subset of these networks, referred to as Graph...
master thesis 2022
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Pierik, Casper (author)
This thesis investigates the impact of a phenology model on conceptual hydrologic model. In conventional conceptual hydrologic models the evapotranspiration is partitioned into evaporation and transpiration by a combination of the potential evaporation and the availability of water. This way the seasonal differences in vegetation dynamics are...
master thesis 2022
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Meng, Zixi (author)
Leakage is the main source of water loss in water distribution networks (WDNs). Therefore, leak detection and localization technology is a major concern for water utilities to save water and meet the ever-growing water demand. This study presents two methodologies for leak localization in District Metered Areas (DMAs): (1) a model-based method...
master thesis 2022
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Grosfeld, Jakob (author)
Plastic pollution and accumulation in the riverine environment is of increasing concern. While most research focuses on microplastic contamination, the dynamics of macrolitter remain largely unknown. Large scale riverbank monitoring initiatives in the Netherlands reveal that macrolitter hotspots occur at several locations. Unfortunately, current...
master thesis 2022
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Glynis, Konstantinos (author)
Water utilities face many challenges, including pipe bursts that cause significant non-revenue water losses. Detecting those bursts early is important for the water sector in its path to achieve sustainable water resource management. This study presents a scalable data-driven methodology for burst detection in water distribution systems that is...
master thesis 2022
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Bruijns, Ron (author)
Fluvial flooding poses a major threat to mankind and annually leads to major economic losses with many casualties worldwide. The consequences of this can be mitigated when accurate and rapid predictions are available when the water will arrive at which location. Current numerical simulations take a significant amount of time due to their...
master thesis 2022
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Wilbrand, Katharina (author)
Rainfall-runoff modelling is essential for short- and long-term decision-making in the water management sector. The accuracy of streamflow predictions of hydrologic models increases with the availability of and the access to streamflow observations. Therefore, one of the key challenges in the field of hydrology is to produce Predictions in...
master thesis 2021
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Corredor Mora, Diego (author)
It is vital for adequate management, and operation of water distribution systems (WDS) to have reliable short-term water demand forecasts. Conventional time-series models present limitations when dealing with non-linear changes in water demand. Thus, it is proposed to employ deep learning algorithms to offer a more reliable forecast. Three...
master thesis 2021
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Mavritsakis, Panagiotis (author)
Large parts of the world rely on rainfed agriculture for their food security. In Africa, 90% of the agricultural yields rely only on precipitation for irrigation purposes and approximately 80% of the population’s livelihood is highly dependent on its food production. Parts of Ghana are prone to droughts and flood events due to increasing...
master thesis 2021
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Vallendar, André (author)
Plastic pollution is one of the most challenging global environmental problems. Currently, more than 1000 rivers transport approximately 80% of the plastic influx into the oceans. Naturally, more and more companies are interested in tackling this problem. One of them is Noria Sustainable Innovators, a company based in Delft (Netherlands). It is...
master thesis 2021
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Dainelli, Filippo (author)
Extra-Tropical Cyclones (ETCs) are major storm system ruling and influencing the atmospheric structure at mid-latitudes. These events are usually characterized by strong winds and heavy precipitation and cause considerable storm surges with threatening wave systems for coastal regions. The possibility to simulate these storms or to increase the...
master thesis 2020
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