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Diaz, Vitali (author), Corzo Perez, Gerald A. (author), Van Lanen, Henny A.J. (author), Solomatine, D.P. (author)In its three-dimensional (3-D) characterization, drought is an event whose spatial extent changes over time. Each drought event has an onset and end time, a location, a magnitude, and a spatial trajectory. These characteristics help to analyze and describe how drought develops in space and time (i.e., drought dynamics). Methodologies for 3-D...book chapter 2024
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Yan, Kun (author), Neal, Jeffrey C. (author), Solomatine, D.P. (author), Di Baldassarre, Giuliano (author)This chapter provides an overview of global and low-cost topographic data to support flood studies, with a focus on usefulness of shuttle radar topography mission (SRTM) topography in supporting two-dimensional hydraulic modeling of floods. In particular, flood propagation and inundation modeling of a 10-km reach of the River Dee (United...book chapter 2023
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Le, Hung Manh (author), Corzo, Gerald A. (author), Medina, Vicente (author), Diaz, Vitali (author), Nguyen, Bang Luong (author), Solomatine, D.P. (author)Drought indicators are of critical importance in characterization and forecasting. The use of the Standardized Precipitation Index (SPI) has increasingly become the main tool for drought analysis; however, the index lacks hydrological information useful as a proxy for other types of droughts. This study aims at evaluating the SPI against the...book chapter 2019
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Diaz, Vitali (author), Corzo, Gerald A. (author), Van Lanen, Henny A.J. (author), Solomatine, D.P. (author)Understanding, characterizing, and predicting drought is vital for the reduction of its consequences. In the last few decades, many studies have moved drought analysis from the conventional lumped approach to a more spatiotemporal analysis. Two main developments have motivated this: one is global data availability and the other is the number of...book chapter 2019
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Mazzoleni, M. (author), Alfonso, Leonardo (author), Solomatine, D.P. (author)Accurate real-time forecasting of river water level is an important issue that has to be addressed in order to prevent and mitigate water-related risk. To this end, data assimilation methods have been used to improve the forecasts ability of water model merging observations coming from stations and model simulations. As a consequence of the...conference paper 2014
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Chacon Hurtado, J.C. (author), Alfonso, Leonardo (author), Solomatine, D.P. (author)Design of optimal precipitation sensor networks is a common topic in hydrological literature, however this is still an open problem due to lack of understanding of some spatially variable processes, and assumptions that often cannot be verified. Among these assumptions lies the homoscedasticity of precipitation fields, common in hydrological...conference paper 2014
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Mazzoleni, M (author), Alfonso, Leonardo (author), Solomatine, D.P. (author)The reliable evaluation of the flood forecasting is a crucial problem for assessing flood risk and consequent damages. Different hydrological models (distributed, semi-distributed or lumped) have been proposed in order to deal with this issue. The choice of the proper model structure has been investigated by many authors and it is one of the...conference paper 2014
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Yan, K (author), Pappenberger, F (author), Umer, Y.M. (author), Solomatine, D.P. (author), Di Baldassarre, G (author)One of the main obstacles in mapping flood hazard in data scarce areas is the difficulty in estimating the design flood, i.e. river discharge corresponding to a given return period. This exercise can be carried out using regionalization techniques, which are based on flood data of regions with similar hydro...conference paper 2014
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Aguilar Lopez, J.P. (author), Andel, Schalk Jan Van (author), Werner, M (author), Solomatine, D.P. (author)Data for water management is increasingly easy to access, it has finer spatial and temporal resolution, and it is available from various sources. Precipitation data can be obtained from meteorological stations, radar, satellites and weather models. Land use data is also available from different satellite products and different providers. The...conference paper 2014
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Hartanto, I.M. (author), Andel, Schalk Jan Van (author), Alexandridis, T.K. (author), Solomatine, D.P. (author)Data for water management is increasingly easy to access, it has finer spatial and temporal resolution, and it is available from various sources. Precipitation data can be obtained from meteorological stations, radar, satellites and weather models. Land use data is also available from different satellite products and different providers. The...conference paper 2014
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Kayastha, N. (author), Solomatine, D.P. (author)Single hydrological model or model calibrated on single objective function often cannot capture all components of a water motion process. One possibility is building several specialized models each of which responsible for a particular sub-process (e.g., high flows or low flows), and combining them using dynamic weights – thus forming a...conference paper 2014
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Kayastha, N. (author), Solomatine, D.P. (author), Lal Shrestha, D. (author)In the MLUE method (reported in Shrestha et al. [1, 2]) we run a hydrological model M for multiple realizations of parameters vectors (Monte Carlo simulations), and use this data to build a machine learning model V to predict uncertainty (quantiles) of the model M output. In this paper, for model V, we employ three machine learning techniques,...conference paper 2014
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Dogulu, N. (author), Lopez Lopez, P. (author), Solomatine, D.P. (author), Weerts, A.H. (author), Shrestha, D.L. (author)In operational hydrology, estimation of the predictive uncertainty of hydrological models used for flood modelling is essential for risk-based decision making for flood warning and emergency management. In the literature, there exists a variety of methods analysing and predicting uncertainty. However, studies devoted to comparing the performance...journal article 2015
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Lopez Lopez, P. (author), Verkade, J.S. (author), Weerts, A.H. (author), Solomatine, D.P. (author)The present study comprises an intercomparison of different configurations of a statistical post-processor that is used to estimate predictive hydrological uncertainty. It builds on earlier work by Weerts, Winsemius and Verkade (2011; hereafter referred to as WWV2011), who used the quantile regression technique to estimate predictive...journal article 2014
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Van, P.D.T. (author), Popescu, I. (author), Van Griensven, A. (author), Solomatine, D.P. (author), Trung, N.H. (author), Green, A. (author)The present paper investigated the extent of the flood propagation in the Vietnamese Mekong Delta under different projected flood hydrographs, considering the 2000 flood event (the 20-yr return period event, T. V. H. Le et al., 2007) as the basis for computation. The analysis herein was done to demonstrate the particular complexity of the flood...journal article 2012
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Mukolwe, M.M. (author), Di Baldassarre, G. (author), Werner, M. (author), Solomatine, D.P. (author)This paper presents an analysis of uncertainty in hydraulic modelling of floods, focusing on the inaccuracy caused by inflow errors and parameter uncertainty. In particular, the study develops a method to propagate the uncertainty induced by, firstly, application of a stage–discharge rating curve and, secondly, parameterisation of a...journal article 2014
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Corzo, G.A. (author), Solomatine, D.P. (author), Hidayat, M.S. (author), De Wit, M. (author), Werner, M. (author), Uhlenbrook, S. (author), Price, R.K. (author)One of the challenges in river flow simulation modelling is increasing the accuracy of forecasts. This paper explores the complementary use of data-driven models, e.g. artificial neural networks (ANN) to improve the flow simulation accuracy of a semi-distributed process-based model. The IHMS-HBV model of the Meuse river basin is used in this...journal article 2009
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Dogulu, N. (author), Lopez Lopez, P. (author), Solomatine, D.P. (author), Weerts, A.H. (author), Shrestha, D.L. (author)In operational hydrology, estimation of predictive uncertainty of hydrological models used for flood modelling is essential for risk based decision making for flood warning and emergency management. In the literature, there exists a variety of methods analyzing and predicting uncertainty. However, case studies comparing performance of these...journal article 2014
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Siek, M. (author), Solomatine, D.P. (author)This paper addresses the use of the methods of nonlinear dynamics and chaos theory for building a predictive chaotic model from time series. The chaotic model predictions are made by the adaptive local models based on the dynamical neighbors found in the reconstructed phase space of the observables. We implemented the univariate and multivariate...journal article
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- Lopez Lopez, P. (author), Verkade, J.S. (author), Weerts, A.H. (author), Solomatine, D.P. (author) journal article 2014