Search Results - "Solomatine, Dimitri P"

A novel method to estimate model uncertainty using machine learning techniques by Solomatine, Dimitri P, Shrestha, Durga Lal

“…A novel method is presented for model uncertainty estimation using machine learning techniques and its application in rainfall runoff modeling. In this method,…”
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Remote Sensed and/or Global Datasets for Distributed Hydrological Modelling: A Review by Ali, Muhammad Haris, Popescu, Ioana, Jonoski, Andreja, Solomatine, Dimitri P.

“…This research paper presents a systematic literature review on the use of remotely sensed and/or global datasets in distributed hydrological modelling. The…”
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Machine learning approaches for estimation of prediction interval for the model output by Shrestha, Durga L., Solomatine, Dimitri P.

“…A novel method for estimating prediction uncertainty using machine learning techniques is presented. Uncertainty is expressed in the form of the two quantiles…”
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Practical Experience of Sensitivity Analysis: Comparing Six Methods, on Three Hydrological Models, with Three Performance Criteria by Wang, Anqi, Solomatine, Dimitri P.

“…Currently, practically no modeling study is expected to be carried out without some form of Sensitivity Analysis (SA). At the same time, there is a large…”
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Improved drought forecasting in Kazakhstan using machine and deep learning: a non-contiguous drought analysis approach by Sadrtdinova, Renata, Perez, Gerald Augusto Corzo, Solomatine, Dimitri P.

“…Abstract Kazakhstan is recently experiencing an increase in drought trends. However, low-capacity probabilistic drought forecasts and poor dissemination have…”
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A Classification-Based Machine Learning Approach to the Prediction of Cyanobacterial Blooms in Chilgok Weir, South Korea by Kim, Jongchan, Jonoski, Andreja, Solomatine, Dimitri P.

“…Cyanobacterial blooms appear by complex causes such as water quality, climate, and hydrological factors. This study aims to present the machine learning models…”
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How Well Can Machine Learning Models Perform without Hydrologists? Application of Rational Feature Selection to Improve Hydrological Forecasting by Moreido, Vsevolod, Gartsman, Boris, Solomatine, Dimitri P., Suchilina, Zoya

“…With more machine learning methods being involved in social and environmental research activities, we are addressing the role of available information for…”
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Water Quality Modelling for Nitrate Nitrogen Control Using HEC-RAS: Case Study of Nakdong River in South Korea by Kim, Jongchan, Jonoski, Andreja, Solomatine, Dimitri P., Goethals, Peter L. M.

“…The World Health Organization (WHO) and the U.S. Environmental Protection Agency (EPA) provide guidelines on the maximum levels of nitrate nitrogen (NO3-N)…”
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Impact of Dataset Size on the Signature-Based Calibration of a Hydrological Model by Mohammed, Safa A, Solomatine, Dimitri P, Hrachowitz, Markus, Hamouda, Mohamed A

“…Many calibrated hydrological models are inconsistent with the behavioral functions of catchments and do not fully represent the catchments’ underlying…”
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ST-CORAbico: A Spatiotemporal Object-Based Bias Correction Method for Storm Prediction Detected by Satellite by Laverde-Barajas, Miguel, Corzo, Gerald A., Poortinga, Ate, Chishtie, Farrukh, Meechaiya, Chinaporn, Jayasinghe, Susantha, Towashiraporn, Peeranan, Markert, Amanda, Saah, David, Son, Lam Hung, Khem, Sothea, Boonya-Aroonnet, Surajate, Chaowiwat, Winai, Uijlenhoet, Remko, Solomatine, Dimitri P.

“…Advances in near real-time rainstorm prediction using remote sensing have offered important opportunities for effective disaster management. However, this…”
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Coevolution of Machine Learning and Process-Based Modelling to Revolutionize Earth and Environmental Sciences: A Perspective by Razavi, Saman, Elshorbagy, Amin, Kumar, Sujay, Marshall, Lucy, Solomatine, Dimitri P., Dezfuli, Amin, Sadegh, Mojtaba, Famiglietti, James

“…Machine learning (ML) applications in Earth and environmental sciences (EES) have gained incredible momentum in recent years. However, these ML applications…”
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Parametric uncertainty assessment of hydrological models: coupling UNEEC-P and a fuzzy general regression neural network by Ahmadi, Arman, Nasseri, Mohsen, Solomatine, Dimitri P.

“…Due to the complicated nature of environmental processes, consideration of uncertainty is an important part of environmental modelling. In this paper, a new…”
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Citizen observations contributing to flood modelling: opportunities and challenges by Assumpcao, Thaine H, Popescu, Ioana, Jonoski, Andreja, Solomatine, Dimitri P

“…Citizen contributions to science have been successfully implemented in many fields, and water resources is one of them. Through citizens, it is possible to…”
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A review of low-cost space-borne data for flood modelling: topography, flood extent and water level by Yan, Kun, Di Baldassarre, Giuliano, Solomatine, Dimitri P., Schumann, Guy J.-P.

“…During the last two decades, remote sensing data have led to tremendous progress in advancing flood inundation modelling. In particular, low‐cost space‐borne…”
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Rainfall and streamflow sensor network design: a review of applications, classification, and a proposed framework by Chacon-Hurtado, Juan C, Alfonso, Leonardo, Solomatine, Dimitri P

“…Sensors and sensor networks play an important role in decision-making related to water quality, operational streamflow forecasting, flood early warning…”
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Development of a web application for water resources based on open source software by Delipetrev, Blagoj, Jonoski, Andreja, Solomatine, Dimitri P.

“…This article presents research and development of a prototype web application for water resources using latest advancements in Information and Communication…”
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Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? by Mazzoleni, Maurizio, Verlaan, Martin, Alfonso, Leonardo, Monego, Martina, Norbiato, Daniele, Ferri, Miche, Solomatine, Dimitri P

“…Monitoring stations have been used for decades to properly measure hydrological variables and better predict floods. To this end, methods to incorporate these…”
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Improving flood forecasting using an input correction method in urban models in poorly gauged areas by Fava, Maria Clara, Mazzoleni, Maurizio, Abe, Narumi, Mendiondo, Eduardo Mario, Solomatine, Dimitri P.

“…Poorly monitored catchments could pose a challenge in the provision of accurate flood predictions by hydrological models, especially in urbanized areas subject…”
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Spatio-temporal assessment of meteorological drought under the influence of varying record length: the case of Upper Blue Nile Basin, Ethiopia by Bayissa, Yared A., Moges, Semu A., Xuan, Yunqing, Van Andel, Schalk J., Maskey, Shreedhar, Solomatine, Dimitri P., Griensven, Ann Van, Tadesse, Tsegaye

“…This study investigates the spatial and temporal variation of meteorological droughts in the Upper Blue Nile (UBN) basin in Ethiopia using long historical…”
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Multiobjective Valve Management Optimization Formulations for Water Quality Enhancement in Water Distribution Networks by Quintiliani, Claudia, Marquez-Calvo, Oscar, Alfonso, Leonardo, Di Cristo, Cristiana, Leopardi, Angelo, Solomatine, Dimitri P, de Marinis, Giovanni

“…AbstractWater distribution networks (WDNs) need to guarantee that water is delivered with adequate quality. This paper compares the performance of 12…”
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