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Sadrtdinova, Renata (author), Perez, Gerald Augusto Corzo (author), Solomatine, D.P. (author)Kazakhstan is recently experiencing an increase in drought trends. However, low-capacity probabilistic drought forecasts and poor dissemination have led to a drought crisis in 2021 that resulted in the loss of thousands of livestock. To improve drought forecasting accuracy, this study applies Machine Learning and Deep Learning (ML and DL)...journal article 2024
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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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Kim, J. (author), Jonoski, Andreja (author), Solomatine, D.P. (author), Goethals, Peter L. M. (author)Flow control flushing water from reservoirs has been imposed in South Korea for mitigating harmful cyanobacterial blooms (CyanoHABs) in rivers. This measure, however, can cause water shortage in reservoirs, as the measure adopting this flow control may require an additional amount of water which exceeds the water demand allocated to the...journal article 2023
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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
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Wang, Yibo (author), Liu, Pan (author), Solomatine, D.P. (author), Li, Liping (author), Wu, Chen (author), Han, Dongyang (author), Zhang, Xiaojing (author), Yang, Zhikai (author), Yang, Sheng (author)Aquatic community dynamics are closely dominated by flow regime and water quality conditions, which are increasingly threatened by dam regulation, water diversion, and nutrition pollution. However, further understanding of the ecological impacts of flow regime and water quality conditions on aquatic multi-population dynamics has rarely been...journal article 2023
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Paez Trujillo, A.M. (author), Corzo, Gerald A. (author), Maskey, Shreedhar (author), Solomatine, D.P. (author)Preventive Drought Management Measures (PDMMs) aim to reduce the chance of droughts and minimize drought-associated damages. Selecting PDMMs is not a trivial task, and it can be asserted that actual contributions to drought alleviation still need to be adequately researched. This study evaluates the effects of three potential PDMMs, namely,...journal article 2023
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Ali, M.H. (author), Popescu, Ioana (author), Jonoski, Andreja (author), Solomatine, D.P. (author)This research paper presents a systematic literature review on the use of remotely sensed and/or global datasets in distributed hydrological modelling. The study aims to investigate the most commonly used datasets in hydrological models and their performance across different geographical scales of catchments, including the micro-scale (<10...review 2023
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Varouchakis, Emmanouil A. (author), Solomatine, D.P. (author), Corzo Perez, Gerald A. (author), Jomaa, Seifeddine (author), Karatzas, George P. (author)Successful modelling of the groundwater level variations in hydrogeological systems in complex formations considerably depends on spatial and temporal data availability and knowledge of the boundary conditions. Geostatistics plays an important role in model-related data analysis and preparation, but has specific limitations when the aquifer...journal article 2023
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Paez Trujillo, A.M. (author), Cañon, Jeffer (author), Hernandez, Beatriz (author), Corzo, Gerald (author), Solomatine, D.P. (author)The typical drivers of drought events are lower than normal precipitation and/or higher than normal evaporation. The region's characteristics may enhance or alleviate the severity of these events. Evaluating the combined effect of the multiple factors influencing droughts requires innovative approaches. This study applies hydrological modelling...journal article 2023
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Corzo, Clara Maria (author), Alfonso, Leonardo (author), Corzo, Gerald (author), Solomatine, D.P. (author)Water utilities are urged to decrease their real water losses, not only to reduce costs but also to assure long-term sustainability. Hardware- and software-based techniques have been broadly used to locate leaks; within the latter, previous works that have used data-driven models mostly focused on single leaks. This paper presents a...journal article 2023
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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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Kim, J. (author), Jonoski, Andreja (author), Solomatine, D.P. (author), Goethals, Peter L. M. (author)The World Health Organization (WHO) and the U.S. Environmental Protection Agency (EPA) provide guidelines on the maximum levels of nitrate nitrogen (NO3-N) contained in drinking water since excess nitrate ingestion may harm human health. Thus, monitoring and controlling the NO3-N concentration is of paramount importance, especially in sources of...journal article 2023
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Kim, J. (author), Jonoski, Andreja (author), Solomatine, D.P. (author)Cyanobacterial blooms appear by complex causes such as water quality, climate, and hydrological factors. This study aims to present the machine learning models to predict occurrences of these complicated cyanobacterial blooms efficiently and effectively. The dataset was classified into groups consisting of two, three, or four classes based on...journal article 2022
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Razavi, Saman (author), Hannah, David M. (author), Elshorbagy, Amin (author), Kumar, Sujay (author), Marshall, Lucy (author), Solomatine, D.P. (author), Dezfuli, Amin (author), Sadegh, Mojtaba (author), Famiglietti, James (author)Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications have largely evolved in ‘isolation’ from the mechanistic, process-based modelling (PBM) paradigms, which have historically been the cornerstone of scientific discovery and policy support....journal article 2022
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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
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Mohammed, Safa A. (author), Solomatine, D.P. (author), Hrachowitz, M. (author), Hamouda, Mohamed A. (author)Many calibrated hydrological models are inconsistent with the behavioral functions of catchments and do not fully represent the catchments’ underlying processes despite their seemingly adequate performance, if measured by traditional statistical error metrics. Using such metrics for calibration is hindered if only short-term data are...journal article 2021
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Farrag, Mostafa (author), Perez, Gerald Corzo (author), Solomatine, D.P. (author)Many grid‐based spatial hydrological models suffer from the complexity of setting up a coherent spatial structure to calibrate such a complex, highly parameterized system. There are essential aspects of model‐building to be taken into account: spatial resolution, the routing equation limitations, and calibration of spatial parameters, and...journal article 2021
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Laverde Barajas, M.A. (author), Corzo, Gerald A. (author), Poortinga, Ate (author), Chishtie, Farrukh (author), Meechaiya, Chinaporn (author), Jayasinghe, Susantha (author), Towashiraporn, Peeranan (author), Uijlenhoet, R. (author), Solomatine, D.P. (author)Advances in near real-time rainstorm prediction using remote sensing have offered important opportunities for effective disaster management. However, this information is subject to several sources of systematic errors that need to be corrected. Temporal and spatial characteristics of both satellite and in-situ data can be combined to enhance...journal article 2020
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Diaz, Vitali (author), Corzo Perez, Gerald A. (author), Van Lanen, Henny A.J. (author), Solomatine, D.P. (author), Varouchakis, Emmanouil A. (author)The spatiotemporal monitoring of droughts is a complex task. In the past decades, drought monitoring has been increasingly developed, while the consideration of its spatio-temporal dynamics is still a challenge. This study proposes a method to build the spatial tracks and paths of drought, which can enhance its monitoring. The steps for the...journal article 2020
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Jiang, Shijie (author), Zheng, Yi (author), Solomatine, D.P. (author)Modeling dynamic geophysical phenomena is at the core of Earth and environmental studies. The geoscientific community relying mainly on physical representations may want to consider much deeper adoption of artificial intelligence (AI) instruments in the context of AI's global success and emergence of big Earth data. A new perspective of using...journal article 2020