scholarly journals Wind-Induced Resuspension and Transport of Contaminated Sediment from the Rove Canal into the Etang De Berre, France

Water ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 62
Author(s):  
Elena Alekseenko ◽  
Bernard Roux ◽  
Konstantin Kuznetsov
Keyword(s):  
Wind Speed ◽  
Forced Convection ◽  
Suspended Particles ◽  
Total Flux ◽  
Contaminated Sediment ◽  
Local Wind ◽  
Engineering Project ◽  
Pumping Rate ◽  
Mediterranean Lagoon ◽  
Sediment Consolidation

The present study concerns the erosion and transport of severely contaminated sediments in a Canal. It begins in the context of an engineering project aimed to re-introduce a forced convection at the entrance of this Canal by pumping marine water. The local wind is often strong enough to overpass the resuspension threshold; thus, there is a serious risk of downstream contamination of a Mediterranean lagoon. So, the goal is to evaluate this risk as a function of the pumping rate; this contamination is transported by the fine suspended particles. Different scenarios are investigated to determine the downstream transport of suspensions in terms of runoff. These scenarios (of 24 h) contains a succession of 3 periods: constant wind speed, wind slowdown and calm, for two opposite wind directions. Special attention is devoted to the modeling of complex mechanisms of erosion and resuspension during wind periods, deposition during windless periods and sediment consolidation. The main results concern the total flux of the suspended particles through the exit of the Canal at the confluence with the lagoon. It is shown that even for moderate runoff (<6 m3/s) this total flux is large enough, not only during the wind period, but also after several hours of calm.

scholarly journals Wind: generating power and cooling the power lines

2020 ◽  
Vol 17 ◽  
pp. 105-108
Author(s):  
Marko Kaasik ◽  
Sander Mirme
Keyword(s):  
Wind Speed ◽  
Electric Power ◽  
High Voltage ◽  
Transmission Lines ◽  
Power Transmission ◽  
Mixed Forest ◽  
Wind Farms ◽  
Power Line ◽  
Power Lines ◽  
Local Wind

Abstract. The electric power that can be transmitted via high-voltage transmission lines is limited by the Joule heating of the conductors. In the case of coastal wind farms, the wind that produces power simultaneously contributes to the cooling of high-voltage overhead conductors. Ideally this would allow for increased power transmission or decreased dimensions and cost of the conductor wires. In this study we investigate how well the wind speed in coastal wind farms is correlated with wind along a 75 km long 330 kW power line towards inland. It is found that correlations between wind speed in coastal wind farms at turbine height and conductor-level (10 m) are remarkably lower (R=0.39–0.64) than between wind farms at distances up to 100 km from each other (R=0.76–0.97). Dense mixed forest surrounding the power line reduces both local wind speed and the correlations with coastal higher-level wind, thus making the cooling effect less reliable.

Prediction of Wind Speed, Potential Wind Power, and the Associated Uncertainties for Offshore Wind Farm Using Deep Learning

2020 ◽  
Author(s):  
Do-Eun Choe ◽  
Gary Talor ◽  
Changkyu Kim
Keyword(s):  
Power Generation ◽  
Deep Learning ◽  
Wind Speed ◽  
Wind Power ◽  
Wind Power Generation ◽  
Offshore Wind ◽  
Weather Data ◽  
Local Wind ◽  
Offshore Wind Power ◽  
The Future

Abstract Floating offshore wind turbines hold great potential for future solutions to the growing demand for renewable energy production. Thereafter, the prediction of the offshore wind power generation became critical in locating and designing wind farms and turbines. The purpose of this research is to improve the prediction of the offshore wind power generation by the prediction of local wind speed using a Deep Learning technique. In this paper, the future local wind speed is predicted based on the historical weather data collected from National Oceanic and Atmospheric Administration. Then, the prediction of the wind power generation is performed using the traditional methods using the future wind speed data predicted using Deep Learning. The network layers are designed using both Long Short-Term Memory (LSTM) and Bi-directional LSTM (BLSTM), known to be effective on capturing long-term time-dependency. The selected networks are fine-tuned, trained using a part of the weather data, and tested using the other part of the data. To evaluate the performance of the networks, a parameter study has been performed to find the relationships among: length of the training data, prediction accuracy, and length of the future prediction that is reliable given desired prediction accuracy and the training size.

Experimental Study the Affection of the Dust Emission on Sand Stockpile by the Height of Windbreak Wall and Wind Speed

2014 ◽  
Vol 989-994 ◽  
pp. 823-826
Author(s):  
Ze Qin Liu ◽  
Li Ying Ma ◽  
Xin Yu Zhao
Keyword(s):  
Experimental Study ◽  
Particle Size ◽  
Wind Speed ◽  
Experimental Testing ◽  
Dust Emission ◽  
Engineering Application ◽  
Local Wind ◽  
Practical Engineering ◽  
Working Principle ◽  
Natural Wind

Based on the perspective of saving investment and reducing dust emission, the method of experimental study and the working principle of windbreak wall were adopted in this paper to explore the affection of the dust emission on sand stockpile by the height of windbreak wall and natural wind speed. According to the experimental testing, the data processing and analysis by the origin software, the studied results indicated that, the dust emission of the same particle size of powder (sand) increased with increasing the wind speed, the dust emission of the same particle size and the same wind speed of powder reduced with increasing the height of the windbreak wall., When the height of windbreak wall is 5/6 times of the height of the stockpile for a certain height of the bulk stockpile, the dual purposes of the minimum dust emission of bulk stockpile and saving investment could be gained. In the practical engineering application, the height of the windbreak wall should be chosen according to the actual situation (the density of the stockpile, particle size as well as the local wind speed).

Local wind speed estimation, with application to wake impingement detection

2018 ◽  
Vol 116 ◽  
pp. 155-168 ◽  
Author(s):  
C.L. Bottasso ◽  
S. Cacciola ◽  
J. Schreiber
Keyword(s):  
Wind Speed ◽  
Speed Estimation ◽  
Local Wind

scholarly journals Influence of local wind speed and direction on wind power dynamics – Application to offshore very short-term forecasting

2011 ◽  
Vol 88 (11) ◽  
pp. 4087-4096 ◽  
Author(s):  
C. Gallego ◽  
P. Pinson ◽  
H. Madsen ◽  
A. Costa ◽  
A. Cuerva
Keyword(s):  
Wind Speed ◽  
Wind Power ◽  
Power Dynamics ◽  
Local Wind ◽  
Short Term ◽  
Short Term Forecasting

Anemotactic strategy and optimum flight conditions for host-plant finding in the cabbage root fly, Delia radicum (L.) (Diptera: Anthomyiidae)

1987 ◽  
Vol 77 (2) ◽  
pp. 271-277 ◽  
Author(s):  
S. F. Nottingham
Keyword(s):  
Wind Speed ◽  
Host Plant ◽  
Linear Model ◽  
Wind Direction ◽  
Generalized Linear Model ◽  
Delia Radicum ◽  
Trap Catch ◽  
Local Wind ◽  
Wind Speeds ◽  
Trap Catches

AbstractHourly trap catches of Delia radicum (L.) from opposite sides of host-plant (cabbage) and non-host-plant (carrot) plots in eastern England were analysed with respect to local wind direction, wind speed, temperature and humidity. More females were caught around host- than non-host-plant plots. They predominantly approached host-plant plots by upwind movement, but equal upwind and downwind movement occurred to non-host-plant plots. A generalized linear model revealed that wind speed and humidity influenced the total trap catch of females, with wind speeds below 2 m/s and relative humidities above 65% being most favourable to fly activity, while wind speed was the only variable having a significant effect on the trap catches of flies moving upwind to host-plant plots.

Relationship Between Sand Ripple Moving Speed and Wind Speed under Local Wind Tunnel Experiment by Using Natural Sand in Taklimakan Desert

2008 ◽  
Vol 33-37 ◽  
pp. 1049-1054
Author(s):  
Jurat Matruzi ◽  
Mamtimin Gheni ◽  
Ilham Abdureyim ◽  
Xamxinur Abdikerem
Keyword(s):  
Wind Speed ◽  
Flat Surface ◽  
Taklimakan Desert ◽  
Local Wind ◽  
Natural Sand ◽  
Sand Ripples ◽  
Sand Ripple ◽  
Testing Region ◽  
Moving Process ◽  
Moving Speed

In this study, the directionally fixed air tunnel testing equipment are used for obtain nearly close natural uniform wind and provide more stable wind speed for tunnel test. The changes of sand ripple moving speed in different location are observed under given wind speed condition. The sand ripple lines formation and moving process are tested on flat surface of sand, in Taklimakan desert. The results shown that the sand ripple forming rapidly from non ripple surface to ripple surface and moving along the wind direction. Though the sand ripples in the testing region have some difference about its moving speed, the sand ripple moving speed appear linearity relationship between sand moving displacement and the moving time. This phenomenon indicate that the sand ripple almost occurs and moving at the same time in the uniform wind stream field.

scholarly journals Visibility of River Plume Fronts with an X-Band Radar

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Satoshi Takewaka
Keyword(s):  
Wind Speed ◽  
Water Level ◽  
River Plume ◽  
Field Observations ◽  
Local Wind ◽  
Radar Images ◽  
Optical Images ◽  
X Band ◽  
Wave Heights ◽  
Radar Measurements

A land-based X-band radar was employed to observe river plume fronts at the mouth of the Tenryu River, Japan. Time-averaged radar images captured fronts extending offshore from the river’s mouth as bright streaks. Comparisons between satellite optical images and radar images confirm that streaky features in the radar image represent color river plume fronts. Further corroboration comes from field observations of water temperature, salinity, and turbidity conducted simultaneously with the radar measurements. When a survey ship crossed the front, the measured properties varied discontinuously, suggesting that water from the river and sea converged there and also that a downwards current was present. Variation of visibility of the fronts was assessed and compared with the rate of variation of water level and the wind speed and direction. The radar is able to image fronts when the water level is decreasing during ebb tide and the wind speed is over 3 m/s along shore. Surface ripple waves are generated by the local wind, and if they propagate across the front, wave heights increase, causing higher backscatter of the emitted radar beam. This observation gives further evidence on the imaging mechanism of river plume fronts with X-band radars in relation to wind direction.

scholarly journals Wind Tunnel Test on Local Wind Field around the Bridge Tower of a Truss Girder

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Jingyu Zhang ◽  
Mingjin Zhang ◽  
Bing Huang ◽  
Yongle Li ◽  
Jiaxin Yu ◽  
...  
Keyword(s):  
Wind Speed ◽  
Wind Tunnel ◽  
Wind Field ◽  
Large Scale ◽  
Leeward Side ◽  
Local Wind ◽  
Height Range ◽  
Wind Barrier ◽  
Local Wind Field ◽  
Bridge Tower

The aerodynamic performance of vehicles on a bridge deck depends on the local wind field, especially in a region near a bridge tower. This study was carried out on a large-scale (1: 20.4) truss girder, and wind tunnel tests were performed to determine how the wind fields were affected by the bridge tower in the presence of different wind barriers. The wind barrier parameters significantly affect the wind field. Wind barriers should be sufficiently high to provide a wide protection range and have relatively small porosities to reduce the wind speed. The opening form of the wind barrier should also be considered, where a circular-holed form reduces the wind speed and turbulence more than a horizontal-slatted form. The wind field is affected by structures and bridge towers on the deck. A turning point in the wind speed occurs at a measurement point near the bridge tower, and this point gradually moves upward towards lanes on the leeward side of the bridge. The equivalent wind speed is significantly reduced over a four-meter height range because of shadowing from the bridge tower and the wind barrier.

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