52   Artículos

 
en línea
Bikram Kesharee Patra, Rocio L. Segura and Ashutosh Bagchi    
This study addresses the vital issue of the variability associated with modeling decisions in dam seismic analysis. Traditionally, structural modeling and simulations employ a progressive approach, where more complex models are gradually incorporated. Fo... ver más
Revista: Infrastructures    Formato: Electrónico

 
en línea
Khaled Arbateni and Amir Benzaoui    
Electrocardiography (ECG) is a simple and safe tool for detecting heart conditions. Despite the diaspora of existing heartbeat classifiers, improvements such as real-time heartbeat identification and patient-independent classification persist. Reservoir ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Saad Sh. Sammen, Mohammad Ehteram, Zohreh Sheikh Khozani and Lariyah Mohd Sidek    
Predicting reservoir water levels helps manage droughts and floods. Predicting reservoir water level is complex because it depends on factors such as climate parameters and human intervention. Therefore, predicting water level needs robust models. Our st... ver más
Revista: Water    Formato: Electrónico

 
en línea
Jeremy Feinstein, Quentin Ploussard, Thomas Veselka and Eugene Yan    
Methods for downstream river flow prediction can be categorized into physics-based and empirical approaches. Although based on well-studied physical relationships, physics-based models rely on numerous hydrologic variables characteristic of the specific ... ver más
Revista: Water    Formato: Electrónico

 
en línea
Carlo Giudicianni, Mohammed N. Assaf, Sara Todeschini and Enrico Creaco    
This paper presents a comparative analysis of two hydrological models in the Storm Water Management Model (SWMM) software, namely, the non-linear reservoir (N-LR) and the unit hydrograph (UH), on the urban catchment of Cascina Scala, Pavia in Italy. The ... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Jose Bernardes, Jr., Mateus Santos, Thiago Abreu, Lenio Prado, Jr., Dannilo Miranda, Ricardo Julio, Pedro Viana, Marcelo Fonseca, Edson Bortoni and Guilherme Sousa Bastos    
The optimal dispatch of hydropower plants consists of the challenge of taking advantage of both available head and river flows. Despite the objective of delivering the maximum power to the grid, some variables are uncertain, dynamic, non-linear, and non-... ver más
Revista: AI    Formato: Electrónico

 
en línea
Andrzej Bielski and Cezary Tos    
This study examines the chlorophyll a content and turbidity in the shallow dam reservoir of Lake Dobczyce. The analysis of satellite images for thirteen wavelength ranges enabled the selection of wavelengths applicable for a remote determination of chlor... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Anna Suzuki, Ken-ichi Fukui, Shinya Onodera, Junichi Ishizaki and Toshiyuki Hashida    
Numerical modeling for geothermal reservoir engineering is a crucial process to evaluate the performance of the reservoir and to develop strategies for the future development. The governing equations in the geothermal reservoir models consist of several ... ver más
Revista: Geosciences    Formato: Electrónico

 
en línea
Kieu Anh Nguyen, Walter Chen, Bor-Shiun Lin and Uma Seeboonruang    
Although machine learning has been extensively used in various fields, it has only recently been applied to soil erosion pin modeling. To improve upon previous methods of quantifying soil erosion based on erosion pin measurements, this study explored the... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Mohammad Ebrahim Banihabib, Reihaneh Bandari and Mohammad Valipour    
In multi-purpose reservoirs, to achieve optimal operation, sophisticated models are required to forecast reservoir inflow in both short- and long-horizon times with an acceptable accuracy, particularly for peak flows. In this study, an auto-regressive hy... ver más
Revista: AI    Formato: Electrónico

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