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Kim, J. (author)
In the water sector, issues concerning the aquatic environment have been extensively discussed due to climate change. In particular, water quality problems such as harmful cyanobacterial blooms (CyanoHABs) in rivers have arisen in South Korea since 2012. The Korean government constructed 16 weirs in the rivers during the Four Major Rivers...
doctoral thesis 2023
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Uribe, N. (author)
Farmers around the world are facing the need to improve crop yield due to substantial increase in food demand. However, in an effort to meet the global growing food demand, nutrient pollutants in runoff have also increased due to intensified agricultural practices. For this reason, stakeholders and decision-makers have tried to shift from...
doctoral thesis 2023
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Laverde Barajas, M.A. (author)
Satellite Precipitation Products (SPP) have been revolutionary in water resources management and flood-related disaster response. However, estimating extreme rainfall is subject to multiple systematic and aleatory errors that need to be corrected. This dissertation addresses errors in satellite data to estimate extreme rainfall events in space...
doctoral thesis 2022
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Diaz, Vitali (author)
Studies of drought have increased in light of new data availability and advances in spatio-temporal analysis. However, the following gaps still need to be filled: 1) methods to characterise drought that explicitly consider its spatio-temporal features, such as spatial extent (area) and pathway; 2) methods to monitor and predict drought that...
doctoral thesis 2021
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Marquez Calvo, O.O. (author)
The exercise of solving engineering problems that require optimisation procedures can be seriously affected by uncertain variables, resulting in potential underperforming solutions. Although this is a well-known problem, important knowledge gaps are still to be addressed. For example, concepts of robustness largely differ from study to study,...
doctoral thesis 2020
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Chacon Hurtado, J.C. (author)
Precipitation drives the dynamics of flows and storages in water systems, making its monitoring essential for water management. Conventionally, precipitation is monitored using in-situ and remote sensors. In-situ sensors are arranged in networks, which are usually sparse, providing continuous observations for long periods at fixed points in...
doctoral thesis 2019
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Hartanto, I.M. (author)
The availability of Earth observation (EO) and numerical weather prediction data for hydrological modelling and water management has increased significantly, creating a situation that today, for the same variable, estimates may be available from two or more sources of information. Precipitation data, for example, can be obtained from rain gauges...
doctoral thesis 2019
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Bayissa, Y.A. (author)
Drought is a silent and pervasive disaster that impacts a large area and propagates slowly. Unlike for other natural disasters such as floods, tornados etc., impacts of droughts do not manifest immediately. This makes it more difficult to monitor drought and mitigate adverse effects by early warning. Several drought indices exist to monitor...
doctoral thesis 2018
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Md. Ali, A. (author)
Flooding can have devastating impacts on people’s livelihood, economy and the environment. An important instrument in flood management is floodplain maps, which assist land planners and local authorities in identifying flood-prone areas, and provide useful information for rescue and relief agencies for their operations. Developing floodplain...
doctoral thesis 2018
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Mazzoleni, M. (author)
Monitoring stations have been used for decades to measure hydrological variables,<br/>and mathematical water models used to predict floods can be enhanced by the<br/>incorporation of these observations, i.e. by data assimilation. The assimilation of<br/>remotely sensed water level observations in hydrological and hydraulic modelling<br/>has...
doctoral thesis 2016
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Mukolwe, M.M. (author)
Computers are increasingly used in the simulation of natural phenomena such as floods. However, these simulations are based on numerical approximations of equations formalizing our conceptual understanding of flood flows. Thus, model results are intrinsically subject to uncertainty and the use of probabilistic approaches seems more appropriate....
doctoral thesis 2016
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Yan, K. (author)
Floods are among the most damaging natural hazards and their impacts have been dramatically increasing worldwide over the past decades. As most basins of the world are ungauged or poorly gauged and some measurement networks are continuously under decline, the spatial distribution of flood hazard is often difficult to estimate because the input...
doctoral thesis 2015
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Kayastha, N. (author)
Due to the complexity of hydrological systems a single model may be unable to capture the full range of a catchment response and accurately predict the streamflows. The multi modelling approach opens up possibilities for handling such difficulties and allows improve the predictive capability of models. One of multi modelling approaches called ...
doctoral thesis 2014
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Almoradie, A.D.S. (author)
Stakeholders’ awareness and participation is important in the planning and management of water resources and floods. Stakeholders’ spatial distribution and diverse stakeholders’ interest (even opposed) are some of the hindrances in stakeholder participation. This research developed and implemented three frameworks for developing “Networked...
doctoral thesis 2014
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Seyoum, S.D. (author)
Floods are among the most frequent and costly natural disasters in terms of human hardship and economic loss. The impacts of flooding are especially devastating in urban areas as these areas are densely populated and contain vital infrastructures. Urban flood risks and their impacts are expected to increase as urban development in flood prone...
doctoral thesis 2013
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Barreto Cordero, W.J. (author)
Flooding in urbanized areas has become a very important issue around the world. The level of service (or performance) of urban drainage systems (UDS) degrades in time for a number of reasons. In order to maintain an acceptable performance of UDS, early rehabilitation plans must be developed and implemented. In developing countries the situation...
doctoral thesis 2012
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Siek, M.B.L.A. (author)
Accurate predictions of storm surge are of importance in many coastal areas. This book focuses on data-driven modelling using methods of nonlinear dynamics and chaos theory for predicting storm surges. A number of new enhancements are presented: phase space dimensionality reduction, incomplete time series, phase error correction, finding true...
doctoral thesis 2011
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Shrestha, D.l. (author)
This thesis presents powerful machine learning (ML) techniques to build predictive models of uncertainty with application to hydrological models. Two different methods are developed and tested. First one focuses on parameter uncertainty analysis by emulating the results of Monte Carlo simulations of hydrological models using efficient ML...
doctoral thesis 2009
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Corzo Perez, G.A. (author)
This book presents the investigation of different architectures of integrating hydrological knowledge and models with data-driven models for the purpose of hydrological flow forecasting. The models resulting from such integration are referred to as hybrid models. The book addresses the following topics: A classification of different hybrid...
doctoral thesis 2009
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