Electrofishing Encounter Probability, Survival, and Dispersal of Stocked Age‐0 Muskellunge in Wisconsin Lakes

2020 ◽  
Vol 40 (2) ◽  
pp. 383-393 ◽  
Author(s):  
Daniel J. Dembkowski ◽  
Janice A. Kerns ◽  
Emma G. Easterly ◽  
Daniel A. Isermann
Keyword(s):  
Encounter Probability

scholarly journals Reading the copepod personal ads: increasing encounter probability with hydromechanical signals

1998 ◽  
Vol 353 (1369) ◽  
pp. 691-700 ◽  
Author(s):  
Luca A. van Duren ◽  
Eize J. Stamhuis ◽  
John J. Videler
Keyword(s):  
Flow Field ◽  
Laser Sheet ◽  
Surrounding Water ◽  
Encounter Probability ◽  
Velocity Gradients ◽  
Swimming Motion ◽  
Image Velocimetry ◽  
Temora Longicornis ◽  
Leg Movement ◽  
Swimming Leg

Females of the calanoid copepod Temora longicornis react to chemical exudates of male conspecifics with little hops, quite distinct from their normal smooth uniform swimming motion. These hops possibly serve to create a hydrodynamical signal in the surrounding water, to increase encounter probability with potential mates. Laser sheet particle image velocimetry was used to investigate the flow fields associated with these hops and to compare them to the flow of the feeding current of an adult female. During, and immediately after a hop, the flow field around the copepod showed a marked difference from that of a foraging animal. During foraging, the highest velocity gradients were located around the feeding appendages of the copepod. During a hop, high velocity gradients are located behind the animal. About 0.5 seconds after the start of swimming leg movement, effects of the hop had virtually dissipated and the flow field resembled that around a foraging animal. The estimated volume of influence (i.e. the volume around the copepod where the animal has a significant influence on the water) increased about 12–fold during the hop compared with the situation around a foraging animal. Furthermore, the rate of viscous energy dissipation within the copepods' volume of influence increased nearly 80–fold. Hops may serve to increase encounter probability, but due to the short duration of the effect and the high energetic costs they would only be adaptive when other cues have indicated that suitable sexual partners are in the vicinity.

Evaluation of Residual Life of Existing Offshore Platforms in Western Offshore, India

2021 ◽  
Author(s):  
A. Renugadevi ◽  
S. Nallayarasu ◽  
S. Karunanithi
Keyword(s):  
Residual Life ◽  
Probability Of Failure ◽  
Oil Field ◽  
Life Extension ◽  
Offshore Platforms ◽  
Strength Assessment ◽  
Encounter Probability ◽  
Reliability Method ◽  
Reserve Strength ◽  
Extension Period

Abstract Western offshore oil field in India has nearly 300 offshore platforms for oil and gas exploration, of which almost 50% of platforms have outlived their life. Life extension of these platforms has become essential for further production activities. In many cases, design level analyses combined with ultimate strength assessment, life extension has been granted. However, risk-based assessment based on the probability of failure based on available reserve strength linked to additional life extension could be a logical method. The Reserve Strength Ratio (RSR) is defined as a ratio of reserve capacity of the jacket structure and the design level environmental loads (1 year or 5year or 10 year or 100-year return period). The encounter probability of these design storms for the life extension period has been established probability for the extension period has been used as a threshold to determining the required RSR using the probability of collapse. For the present study, four typical aged wellhead platforms with different water depths are selected, and RSR is evaluated by carrying out push over analysis. The Monte Carlo Simulation method is used to generate the statistical values of RSR. The probability of failure is then calculated by First Order Reliability Method (FORM) using MATLAB for different RSR values. Reassessment criteria for the existing offshore platforms have been described from the reliability analysis results based on probability failure and encounter probability.

Encounter probability analysis of typhoon and plum rain in the Taihu Lake Basin

2010 ◽  
Vol 53 (12) ◽  
pp. 3331-3340 ◽  
Author(s):  
SiYi Hu ◽  
ZongZhi Wang ◽  
YinTang Wang ◽  
HaoYun Wu ◽  
JuLiang Jin ◽  
...  
Keyword(s):  
Taihu Lake ◽  
Probability Analysis ◽  
Lake Basin ◽  
Taihu Lake Basin ◽  
Encounter Probability

The encounter probability for mountain slope hazards

1999 ◽  
Vol 36 (6) ◽  
pp. 1195-1196 ◽  
Author(s):  
D M McClung
Keyword(s):  
Poisson Process ◽  
Return Period ◽  
Finite Time ◽  
Bernoulli Distribution ◽  
Mountain Slope ◽  
Encounter Probability ◽  
Time Period

In typical risk calculations for the mountain slope hazards one wishes to calculate the encounter probability: the probability of facilities or vehicles being hit at least once when exposed for a finite time period L with events having a return period T at a location. In this note, it is assumed that the events are rare, independent, and discrete, with arrival according to a binomial (or Bernoulli) distribution or a Poisson process. The constraints on the formulations for the processes are provided and it is shown that for typical applications either assumption (binomial or Poisson process) may be used in practice almost interchangeably.

Determination of Radical Re-encounter Probability Distributions from Magnetic Field Effects on Reaction Yields

2007 ◽  
Vol 129 (21) ◽  
pp. 6746-6755 ◽  
Author(s):  
Christopher T. Rodgers ◽  
Stuart A. Norman ◽  
Kevin B. Henbest ◽  
Christiane R. Timmel ◽  
P. J. Hore
Keyword(s):  
Magnetic Field ◽  
Probability Distributions ◽  
Magnetic Field Effects ◽  
Encounter Probability ◽  
Field Effects

scholarly journals Synchronous-Asynchronous Encounter Probability Analysis of High-Low Runoff for Jinsha River, China, using Copulas*

2018 ◽  
Vol 246 ◽  
pp. 01094 ◽  
Author(s):  
CHEN Jing ◽  
GU Shixiang ◽  
ZHANG Tianli
Keyword(s):  
Southwest China ◽  
Bivariate Distribution ◽  
Probability Analysis ◽  
Conditional Probabilities ◽  
Jinsha River ◽  
Copula Theory ◽  
Resources Management ◽  
Encounter Probability ◽  
Study Results ◽  
Regional Water

Synchronous-asynchronous encounter probability analysis of high-low runoff, which requires a description of the probabilistic properties of hydrological variables, is important in regional water resources management. This study aims to investigate this encounter probability for Jinsha River and its tributary Yalong River in southwest China. A bivariate distribution is used to model the runoff variables of the two rivers based on Copula theory. The Copula is a function that links the univariate marginal distributions to form the bivariate distribution. The bivariate distribution is then employed to determine joint and conditional probabilities. The study results indicate the encounter probability of mainstream runoff and tributary runoff in different periods, also illustrate the mainstream runoff distribution under the condition of knowing the tributary runoff distribution.

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