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Kaiwen Song, Xiujuan Jiang, Tianye Wang, Dengming Yan, Hongshi Xu and Zening Wu
The uneven spatial and temporal distribution of water resources has consistently been one of the most significant limiting factors for social development in many regions. Furthermore, with the intensification of climate change, this inequality is progres...
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Nada Joumar, Soumaya Nabih, Antonis Chatzipavlis, Adonis Velegrakis, Thomas Hasiotis, Ourania Tzoraki, Jamal Eddine Stitou El Messari and Lahcen Benaabidate
The study of plumes occurring at the mouth of small rivers of temporal flow is a challenging task due to the lack of sedimentological and flow data of appropriate spatiotemporal scales. The present contribution examined the case of a typical un-gauged in...
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Bingyu Zhang, Yingtang Wei, Ronghua Liu, Shunzhen Tian and Kai Wei
The calibration and validation of hydrological model simulation performance and model applicability evaluation in Gansu Province is the foundation of the application of the flash flood early warning and forecasting platform in Gansu Province. It is diffi...
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Hossein Salehi, Saeid Gharechelou, Saeed Golian, Mohammadreza Ranjbari and Babak Ghazi
Hydrological modeling is essential for runoff simulations in line with climate studies, especially in remote areas with data scarcity. Advancements in climatic precipitation datasets have improved the accuracy of hydrological modeling. This research aims...
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Shuqi Zhang, Tong Zhi, Hongbo Zhang, Chiheng Dang, Congcong Yao, Dengrui Mu, Fengguang Lyu, Yu Zhang and Shangdong Liu
The hydrological series in the Loess Plateau region has exhibited shifts in trend, mean, and/or variance as the environmental conditions have changed, indicating a departure from the assumption of stationarity. As the variations accumulate, the compound ...
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Veronika Bacová Mitková, Dana Halmová, Pavla Pekárová and Pavol Miklánek
In hydrological practice, individual elements of the hydrological cycle are most often estimated and evaluated separately. Uncertainty in the size estimation of extrema discharges and their return period can affect the statistical assessment of the signi...
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Serhii Nazarenko, Diana ?arauskiene, Viktor Putrenko and Jurate Kriauciuniene
Hydrological drought poses a major global challenge, exacerbated by climate change and increasing water demand, leading to water scarcity, environmental degradation, and socioeconomic impacts. Thereby, there is a need for comprehensive methods to assess ...
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Huating Xu, Zhiyong Wu, Hai He, Ruifang Chen and Xiaotao Wu
Droughts can lead to drought disasters, which have become one of the main natural disasters affecting the development of social economies and ecological environments around the world. Timely and effective drought process simulation and prediction based o...
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Marinela del Carmen Valencia Giraldo, Simon Ricard and François Anctil
There is currently much discussion as to whether probabilistic (top?down) or possibilistic (bottom?up) approaches are the most appropriate to estimate potential future climate impacts. In a context of deep uncertainty, such as future climate, bottom-up a...
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Dong Wang and Tao Zhou
Human activities have profoundly changed the hydrological regime and trends of rivers and lakes, which, in turn, has affected the utilization of their navigable conditions. However, few studies have focused on the effects of changes in hydrological regim...
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Sheng He, Geng Niu, Xuefeng Sang, Xiaozhong Sun, Junxian Yin and Heting Chen
Accurate and reliable discharge estimation plays an important role in water resource management as well as downstream applications such as ecosystem conservation and flood control. Recently, data-driven machine learning (ML) techniques showed seemingly i...
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Evangelos Rozos
Machine learning has been used in hydrological applications for decades, and recently, it was proven to be more efficient than sophisticated physically based modelling techniques. In addition, it has been used in hybrid frameworks that combine hydrologic...
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Tribeni C. Sharma and Umed S. Panu
Among the various methods for estimating reservoir volumes, the Gould probability matrix (GPM) method has been touted as a powerful method for estimating reservoir volumes. The other methods in vogue are the Behavior analysis (BA) with the latest inducti...
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Nicolás Velásquez, Jaime Ignacio Vélez, Oscar D. Álvarez-Villa and Sandra Patricia Salamanca
Distributed hydrological modeling has increased its popularity in the community, leading to the development of multiple models with different approaches. However, the rapid growth has also opened a gap between models, interfaces, and advanced users. User...
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Evangelos Rozos, Demetris Koutsoyiannis and Alberto Montanari
Uncertainty is inherent in the modelling of any physical processes. Regarding hydrological modelling, the uncertainty has multiple sources including the measurement errors of the stresses (the model inputs), the measurement errors of the hydrological pro...
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Abubakar Haruna, Pierre-André Garambois, Hélène Roux, Pierre Javelle and Maxime Jay-Allemand
We compare three hydrological models of different complexities, GR4H (lumped, continuous), SMASH (distributed, continuous), and MARINE (distributed, event-based), for Mediterranean flash flood modeling. The objective was to understand how differently the...
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Ying Ouyang, Johnny M. Grace, Prem B. Parajuli and Peter V. Caldwell
Hurricanes and tropical storms (TS) are infrequent but disastrous events to human lives, social activities, and terrestrial ecosystems in coastal regions. Using the Environmental Protection Agency (US-EPA)?s Hydrologic and Water Quality System (HAWQS) mo...
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Fernando Paz Pellat, Jaime Garatuza Payán, Víctor Salas Aguilar, Alma Socorro Velázquez Rodríguez and Martín Alejandro Bolaños González
In the perspective of Darwinian hydrology, Budyko hypotheses can be the foundation of approaches for developing models. Numerous Budyko-type models meeting established boundary conditions (water and energy limits) have been developed based on the Budyko ...
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Naixu Tian, Yue Zhang, Jianwei Li, Walian Du, Xingpeng Liu, Haibo Jiang and Hongfeng Bian
Hydrological connectivity affects the material cycling and energy transfer of ecosystems and is an important indicator for assessing the function of aquatic ecosystems. Therefore, clarification of hydrologic connectivity and its optimization methods is e...
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Ganchang He, Yaning Chen, Gonghuan Fang and Zhi Li
The stationarity test and systematic prediction of hydrometeorological parameters are becoming increasingly important in water resources management. Based on the Ensemble Kalman Filter (EnKF) and wavelet analysis, this study selects precipitation, evapor...
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