Redirigiendo al acceso original de articulo en 18 segundos...
Inicio  /  Water  /  Vol: 15 Par: 11 (2023)  /  Artículo
ARTÍCULO
TITULO

Influence of Long-Term Wind Variability on the Storm Activity in the Caspian Sea

Elizaveta Kruglova and Stanislav Myslenkov    

Resumen

Wind and wave conditions are limiting factors for economic activity, and it is very important to study the long-term variability of storm activity. The main motivation of this research is to assess the impact of wind variability on the storm activity in the Caspian Sea over the past 42 years. The paper presents the analysis of a number of storms based on the results of wave model WAVEWATCH III and the Peak Over Threshold method. The mean, maximum, and 95th percentile significant wave heights were analyzed by season. The highest waves were in the Middle Caspian Sea in winter. Detailed interannual and seasonal analyses of the number and duration of storm waves were performed for the whole Caspian Sea and its separate regions. Positive significant trends were found in the whole sea. Significant positive trends in the number and duration of storms were found for the North and Middle Caspian. In the South Caspian, the trends were negative and not significant. High correlations were found between the number of storms and events with wind speed > 10?14 m/s and 95th percentile wind speed. Positive trends in the number of storms in the Middle Caspian were caused by positive trends in extreme wind situations.

 Artículos similares

       
 
Zitao Du, Wenbo Yang, Yuna Yin, Xinwei Ma and Jiacheng Gong    
When new rail stations or lines are planned, long-term planning for decades to come is required. The short-term passenger flow prediction is no longer of practical significance, as it only takes a few factors that affect passenger flow into consideration... ver más
Revista: Applied Sciences

 
Jingshi Liu, Guligena Halimulati, Yuting Liu, Jianxin Mu and Namaiti Tuoheti    
The climatic warming-induced shrinking of permafrost currently encompasses 65% of alpine areas in North China, where a large population relies on its water and land resources. With increasing recognition of the economic and ecological impacts of permafro... ver más
Revista: Water

 
Francisca Lanai Ribeiro Torres, Luana Medeiros Marangon Lima, Michelle Simões Reboita, Anderson Rodrigo de Queiroz and José Wanderley Marangon Lima    
Streamflow forecasting plays a crucial role in the operational planning of hydro-dominant power systems, providing valuable insights into future water inflows to reservoirs and hydropower plants. It relies on complex mathematical models, which, despite t... ver más
Revista: Water

 
Paraskevi Psachoulia, Christos Chatzidoukas and Petros Samaras    
Microalgae offer a promising solution for efficiently treating high-nitrogen wastewater and recovering valuable nutrients. To optimize microalgae growth and nutrient assimilation, case-dependent studies are essential to demonstrate the process?s potentia... ver más
Revista: Water

 
George Papageorgiou, Vangelis Sarlis and Christos Tjortjis    
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ... ver más
Revista: Information