Searched for: subject%3A%22Runoff%22
(1 - 20 of 61)

Pages

document
van de Wakker, Gerwin (author)
Urban areas of coastal cities are increasingly susceptible to the consequences of climate change. In particular, the threat of increasing floods due to sea level rise and heavier rainfall is growing. Cartagena de Indias in Colombia is such a coastal city, where flooding is a significant issue, with floods becoming more frequent in recent decades...
master thesis 2024
document
Diepens, Huub (author)
Climate change is one of the most pressing matters our society faces. As a result, temperatures are rising across the globe. This effect is especially prevalent in urban areas, where artificial surfaces such as pavements are abundant and vegetation scarce. This effect is called the Urban Heat Island Effect (UHI). Another issue that is caused by...
master thesis 2023
document
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
document
Wilbrand, K. (author), Taormina, R. (author), ten Veldhuis, Marie-claire (author), Visser, Martijn (author), Hrachowitz, M. (author), Nuttall, Jonathan (author), Dahm, Ruben (author)
Streamflow predictions remain a challenge for poorly gauged and ungauged catchments. Recent research has shown that deep learning methods based on Long Short-Term Memory (LSTM) cells outperform process-based hydrological models for rainfall-runoff modeling, opening new possibilities for prediction in ungauged basins (PUB). These studies usually...
journal article 2023
document
Muñoz, Paul (author), Corzo, Gerald (author), Solomatine, D.P. (author), Feyen, Jan (author), Célleri, Rolando (author)
Extreme peak runoff forecasting is still a challenge in hydrology. In fact, the use of traditional physically-based models is limited by the lack of sufficient data and the complexity of the inner hydrological processes. Here, we employ a Machine Learning technique, the Random Forest (RF) together with a combination of Feature Engineering (FE...
journal article 2023
document
Sui, Xinxin (author), van de Ven, F.H.M. (author)
Low Impact Development (LID) was promoted as an alternative to conventional urban drainage methods. The effects of LID at the site or urban scales have been widely evaluated. This project aims to investigate the impact of LID implementation on basin runoff at a regional scale in a half-urbanized catchment, particularly the overlap of urban...
journal article 2023
document
Rongen, G.W.F. (author), Throssell, Ben (author)
Accurately modelling rainfall events is crucial for flood risk assessment and stormwater infrastructure design. However, transforming statistical characteristics of events into relevant rainfall patterns is challenging due to the natural variability of rainfall. Two commonly used methods to schematize rainfall events have limitations: the nested...
conference paper 2023
document
Massari, Christian (author), Pellet, Victor (author), Tramblay, Yves (author), Crow, Wade T. (author), Gründemann, Gaby J. (author), Hascoetf, Tristian (author), Penna, Daniele (author), Modanesi, Sara (author), Brocca, Luca (author)
The event runoff coefficient (i.e. the ratio between event runoff and precipitation that originated the runoff) is a key factor for understanding basin response to precipitation events. Runoff coefficient depends on precipitation intensity and duration but also on specific basin geohydrology attributes (including soil type, geology, land...
journal article 2023
document
Zuo, Hui (author), Yan, Gaowei (author), Lu, Ruochen (author), Li, Rong (author), Xiao, Shuyi (author), Pang, Y. (author)
Accurately predicting runoff is crucial for managing water resources, preventing and mitigating floods, scheduling hydropower plant operations, and protecting the environment. The hydrological dynamic composite system that forms runoff is complex and random, and seemingly random behavior may be caused by nonlinear variables in a simple...
journal article 2023
document
de Wildt, Rogier (author)
Recent reports show that deforestation in Latin-America has been severe over the last decades. Especially Brazil is subject to an alarming rate of forest loss, which will remain a factor in the coming decades. In addition to deforestation, there is an increasing amount of hazards like floods and mudslides. These hazards result in major damage to...
master thesis 2022
document
Meydani, Amirreza (author), Dehghanipour, A. (author), Schoups, G.H.W. (author), Tajrishy, Massoud (author)
Study region: This study develops the first daily runoff forecast system for Bukan reservoir in Urmia Lake basin (ULB), Iran, a region suffering from water shortages and competing water demands. Study focus: A weather forecast downscaling model is developed for downscaling large-scale raw weather forecasts of ECMWF and NCEP to small-scale...
journal article 2022
document
Al-Qubatee, Wahib (author), Al Hasan, F. (author), Ritzema, Henk (author), Nasher, Ghunaim (author), Hellegers, Petra (author)
Groundwater depletion is a problem in many parts the world. We developed an approach to investigate the drivers of groundwater depletion in data-scarce regions. The approach combines natural and human-induced drivers, with the latter focusing on the link between human activities and government policies. We tested the approach in Wadi Zabid,...
journal article 2022
document
Tian, Zhan (author), Yu, Ziwei (author), Li, Yifan (author), Ke, Q. (author), Liu, Junguo (author), Luo, Hongyan (author), Tang, Yingdong (author)
Climate change and rapid urbanization have made it difficult to predict the risk of pollution in cities under different types of rainfall. In this study, a data-driven approach to quantify the effects of rainfall characteristics on river pollution was proposed and applied in a case study of Shiyan River, Shenzhen, China. The results indicate...
journal article 2022
document
Stelling, G.S. (author)
The widespread availability of high-resolution Digital Elevation Models (DEM), has led to the development of subgrid numerical modeling techniques, based on Shallow Water Equations (SWE). Detailed DEM data is clustered as much as possible within a coarse grid cell that is preferably much larger than a raster pixel. This has considerable...
journal article 2022
document
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
document
de Lange, Robbert (author)
Urban climate adaptation is generally attained --- in a hydrological perspective -- by implementing stormwater management techniques, such as grey, blue and green adaptation measures. Implementing such multi-functional adaptation measures touches on the interests of many stakeholders who need to work together to find resilient and suiting...
master thesis 2021
document
Wiersma, Pau (author)
Global hydrological models (GHMs) have become an increasingly valuable tool in a range of global impact studies related to water resources. However, glacier parameterization is often overly simplistic or non-existent in GHMs. The representation of glacier dynamics and evolution, including related products such as glacier runoff, can be improved...
master thesis 2021
document
Moreido, Vsevolod (author), Gartsman, Boris (author), Solomatine, D.P. (author), Suchilina, Zoya (author)
With more machine learning methods being involved in social and environmental research activities, we are addressing the role of available information for model training in model performance. We tested the abilities of several machine learning models for short-term hydrological forecasting by inferring linkages with all available predictors...
journal article 2021
document
Hanus, Sarah (author)
Hydrological regimes of alpine catchments are expected to be strongly influenced by climate change due to their dependence on snow dynamics. While seasonal changes have been studied extensively, studies on changes in the timing and magnitude of annual extremes remain rare. This study investigates the effects of climate change on runoff patterns...
master thesis 2020
document
van Terwisga, Stijn (author)
In this report the hydrological response to multiyear droughts has been researched. Long-term droughts have resulted in an increase in tree die-off in affected areas. As the hydrological response is related to the vegetation in a catchment, it is of interest to find out whether catchment response regarding rainfall-runoff is different after a...
master thesis 2020
Searched for: subject%3A%22Runoff%22
(1 - 20 of 61)

Pages