Assessing the applicability of Transformer-based architectures as rainfall-runoff models

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...

Changes of hydro-meteorological trigger conditions for debris flows in a future alpine climate

Debris-flow activity is strongly controlled by hydro-meteorological trigger conditions, which are expected to change in a future climate. In this study we connect a regional hydro-meteorological susceptibility model for debris flows with climate projections until 2100 to assess changes of the frequency of critical trigger conditions for...

Assessing the impact of climate change on streamflow in catchments across the United States, using an easily reproducible modeling approach

In this thesis, an easily reproducible modeling approach was developed for assessing the climate change impact on streamflow. This approach was tested by using it to assess the impact of climate change on streamflow in 5 different contrasting catchments across the United States. Many studies show that climate change is expected to influence...

Assessing Global Applicability of a Long Short-Term Memory (LSTM) Neural Network for Rainfall-Runoff Modelling

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...

Assessing the change in the performance of a hydrological model post integrating reservoirs for Cauvery river basin, India

All ecosystem services of river are governed by flow regime. The different components of flow regime like topography, geology, and climatic variation contribute to different ecological processes. These ecosystems provide a wide range of direct and indirect benefits to a human being. The ecosystem services such as hydropower, irrigation, drinking...

Do direct and inverse uncertainty assessment methods present the same results?

Hydrological models are simplified imitations of natural and man-made water systems, and because of this simplification, always deal with inherent uncertainty. To develop more rigorous modeling procedures and to provide more reliable results, it is inevitable to consider and estimate this uncertainty. Although there are different approaches...

Rainfall – runoff model of the Huangpu River in Shanghai

Shanghai is a city located in a coastal region and to understand the flood risks it is exposed to, it is of most importance to first understand the processes that control the water levels for the different flood scenarios. Historically, the Huangpu River has reached its highest levels during landfalling typhoon events, which create a combined...

Time varying climate derived root zone storage capacity: A method to explain the rainfall-runoff anomalies of the Meuse catchment?

The Meuse river basin covers an area of 33,000 km2, touches five countries and is a major communication route in Europe. It is one of the catchments with longest streamflow records, with daily measures of discharge dating back to the beginning of the previous century. Attempts to model streamflow with standard hydrological models revealed that...

Assessing the effect of reservoir operation on seasonal flooding of the Masaka wetland, Rwanda

Fluvial flooding is a recurring phenomenon in Rwanda due to a combination of climate, topography and human interventions. This poses a hazard to human lives and infrastructure, particularly in low-lying areas adjacent to major rivers. An example of such areas is the Masaka wetland, located in the southern edge of the capital Kigali along the...

Root-zone storage and snow cover effects: A catchment study on the dynamic behaviour of the root-zone moisture capacity related to changing snow cover patterns

Extreme weather events seem to happen more often nowadays. One of these extreme events was the California Drought between 2012 and 2016. The socioeconomic and environmental impacts of this drought were enormous:<br/>thousands square kilometers of agricultural land fallowed, thousands of lost jobs, salinization problems and forest fires. As a...