Navigating Flood Vulnerability in the Global North and South: Exploring the Differences Between Social, Physical and Perceived Vulnerability in Jakarta and Houston

Flooding, one of the costlier climate change disasters, has emerged as a pressing global challenge, growing in frequency and severity. The traditional reliance on government intervention alone to protect households from flooding is not enough. An essential shift in perspective underscores the need for households themselves to become proactive...

STRAMSA: Systematic Techno-economic RAMS Analysis Approach for Hydrogen Refueling Stations: The Case Study: Total Energies Breda Hydrogen Refueling Station

The shifting global climate patterns present an imminent threat to human existence. Addressing this critical issue necessitates decisive action in multiple sectors, including the mobility service, to mitigate climate change. As the world seeks cleaner alternatives, hydrogen has emerged as a promising solu- tion. TotalEnergies, a prominent energy...

Towards an equitable solar energy transition: On reaching the solar climate goals in Amsterdam - a socioeconomic perspective on solar energy adoption using a data-driven modeling technique

To combat the effects of climate change, there is a worldwide shift to reduced emissions and increased use of renewable energy sources. Solar energy is a vital part of this transition and necessary to be able to achieve the targets. The rapid pace of adaptation raises questions about the negative equity and justice associated with this...

Searching for the built environment: Clustering built environment typologies to find spatial patterns and areas of deprivation using remote sensing techniques

This research uses high resolution satellite images in combination with an unsupervised Convolutional Neural Network Autoencoder to identify features that can be used to cluster different built environment typologies. Previous remote sensing research uses ground truth data which for some areas is not available or needs manually labeled training...

Assessing future flood resilience of the Mumbai Metropolitan Region: A land-use modelling case study

The cities of the Global South need to become more flood resilient in light of climate change and rapid urbanisation. In this thesis, a land-use modelling case study for the Mumbai Metropolitan Region is executed on the interaction of flood risk and land use, through which future flood resilience was assessed for several urban planning...

Leak Localization in Water Distribution Networks

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...

Factors influencing the adoption of adaptive policy by water utilities

Over recent decades there have been advances in the research behind adaptive policy approaches. More recently, emerging qualitative approaches for managing deep uncertainty has drawn the attention of planners in the water industry, particularly in water utilities. Despite interest from both the water industry and the research community to see...

Escaping Suburbia: A Case Study on Microtransit and Access Equity in the Minneapolis-St.Paul Metropolitan Area

More and more people are living in cities. As these cities grow, the benefits of living in them are increasingly unequally distributed. One factor that can turn the tide of glooming urban inequality is equitable access to opportunities. Designing policies for equitable access requires taking into account several components that impact...

Will the Benefits Keep Flowing?: Analysing the Effects of an Uncertain World on the Objectives of the Akosombo Dam

The Akosombo dam in Ghana's Lower Volta River Basin provides essential economic benefits through hydropower generation, flood protection, and irrigation opportunities. However, since its construction was completed in 1965, the livelihood of the riverine communities drastically changed. The seasonal peak and low flows in the river, which provided...

Short-term Water Demand Forecasting at a District Level Using Deep Learning Techniques

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...

Impact of Similarity Metric Selectionfor Multiclass Scenario Discovery ofLand-Use Change Models

Land-use change models are often used to explore future land-use. Currently, most land-use change models run a small number of predetermined scenarios. To better address the multidimensional nature of uncertainty about the future, previous studies have argued for covering a wider range of the uncertainty space than is possible with existing...

Vulnerability of cities to soil moisture and groundwater droughts

Due to climate change, extreme phenomena like droughts are going to be intensified. Even though droughts in agriculture have been studied, regarding urban environment their consequences are rather unexplored. Cities are susceptible to droughts and the estimation of their vulnerability is the first step for their protection. The objective of this...

Assessing Traffic Network Resilience Using Agent-Based Modeling and Simulation

Urban areas are seeing influx of population and therefore are experiencing increasing stress on the systems currently in place. In traffic networks, a larger population means that their are inevitably a short term increase in mobility demands. To accommodate this, governments and and the private sector are proposing new solutions for mobility....