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Hatef Dastour and Quazi K. Hassan
Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread. In such situations, recurring data gaps can lead to unfavora...
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Glenn Tootle, Abdoul Oubeidillah, Emily Elliott, Giuseppe Formetta and Nejc Bezak
The Sava River Basin (SRB) extends across six countries (Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Albania, and Montenegro) and is a major tributary of the Danube River (DR). The Sava River (SR) originates in the alpine region of Slovenia, and, ...
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Jelena Pejovic, Nina Serdar and Radenko Pejovic
The extreme river streamflow that occurred during floods in 2010 in Montenegro caused significant damage to infrastructure and road facilities. The most severe damages were located on bridges crossing the river Lim, where a rapid water level increase in ...
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Giuseppe Formetta, Glenn Tootle and Giacomo Bertoldi
The Adige River Basin (ARB) provides a vital water supply source for varying demands including agriculture (wine production), energy (hydropower) and municipal water supply. Given the importance of this river system, information about past (paleo) drough...
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Giuseppe Formetta, Glenn Tootle and Matthew Therrell
The Po River Basin (PRB) is Italy?s largest river system and provides a vital water supply source for varying demands, including agriculture, energy (hydropower), and water supply. The current (2022) drought has been associated with low winter?early spri...
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SallyRose Anderson, Ross Ogle, Glenn Tootle and Abdoul Oubeidillah
This study reports the preliminary results from a statistical screening of tree-ring width records from the International Tree-Ring Data Bank (ITRDB), to evaluate the strength of the hydrological signal, in dendrochronological records from the Tennessee ...
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Jianzhong Zhou, Tian Peng, Chu Zhang and Na Sun
This paper introduces three artificial neural network (ANN) architectures for monthly streamflow forecasting: a radial basis function network, an extreme learning machine, and the Elman network. Three ensemble techniques, a simple average ensemble, a wei...
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Jaewon Kwak, Soojun Kim, Gilho Kim, Vijay P. Singh, Jungsool Park, Hung Soo Kim
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Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River for the period from 1560 to 1871....
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Jaewon Kwak, Soojun Kim, Gilho Kim, Vijay P. Singh, Jungsool Park and Hung Soo Kim
Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River for the period from 1560 to 1871....
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Abel Andrés Ramírez Molina, Nejc Bezak, Glenn Tootle, Chen Wang and Jiaqi Gong
The Sava River Basin (SRB) includes six countries (Slovenia, Croatia, Bosnia and Herzegovina, Serbia, Albania, and Montenegro), with the Sava River (SR) being a major tributary of the Danube River. The SR originates in the mountains (European Alps) of Sl...
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Norbert A. Agana and Abdollah Homaifar
Drought is a stochastic natural feature that arises due to intense and persistent shortage of precipitation. Its impact is mostly manifested as agricultural and hydrological droughts following an initial meteorological phenomenon. Drought prediction is e...
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Ganeshchandra Mallya, Mohamed M. Hantush and Rao S. Govindaraju
Effective water quality management and reliable environmental modeling depend on the availability, size, and quality of water quality (WQ) data. Observed stream water quality data are usually sparse in both time and space. Reconstruction of water quality...
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