Inspecting the reliability of geochemical facies identified for the waterworks' capture zone in Germany

Robust Capture Zone Approximation by Interval Integration with Uncertainty

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2016.09.006 ◽

2016 ◽

Vol 49 (17) ◽

pp. 28-33

Author(s):

Vladimir Turetsky ◽

Stéphane Le Ménec

Keyword(s):

Capture Zone

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Semi-analytical homogeneous anisotropic capture zone delineation

Journal of Hydrology ◽

10.1016/j.jhydrol.2005.02.008 ◽

2005 ◽

Vol 312 (1-4) ◽

pp. 39-50 ◽

Cited By ~ 33

Author(s):

Michael N. Fienen ◽

Jian Luo ◽

Peter K. Kitanidis

Keyword(s):

Capture Zone

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Bayesian methodology for stochastic capture zone delineation incorporating transmissivity measurements and hydraulic head observations

Journal of Hydrology ◽

10.1016/s0022-1694(02)00314-1 ◽

2003 ◽

Vol 271 (1-4) ◽

pp. 156-170 ◽

Cited By ~ 30

Author(s):

L. Feyen ◽

P.J. Ribeiro ◽

J.J. Gómez-Hernández ◽

K.J. Beven ◽

F. De Smedt

Keyword(s):

Hydraulic Head ◽

Capture Zone ◽

Bayesian Methodology

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Capture-zone areas in submonolayer nucleation: Effects of dimensionality and short-range interactions

Physical Review E ◽

10.1103/physreve.79.011602 ◽

2009 ◽

Vol 79 (1) ◽

Cited By ~ 28

Author(s):

Feng Shi ◽

Yunsic Shim ◽

Jacques G. Amar

Keyword(s):

Short Range ◽

Capture Zone

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Groundwater flow and capture zone analysis of the Central Passaic River Basin, New Jersey

Environmental Geology ◽

10.1007/s00254-008-1257-5 ◽

2008 ◽

Vol 56 (8) ◽

pp. 1593-1603 ◽

Cited By ~ 26

Author(s):

Fatoumata Barry ◽

Duke Ophori ◽

Jeffrey Hoffman ◽

Robert Canace

Keyword(s):

New Jersey ◽

Groundwater Flow ◽

River Basin ◽

Capture Zone ◽

Passaic River

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A Stochastic Characterization of the Capture Zone in Pursuit-Evasion Games

Games ◽

10.3390/g11040054 ◽

2020 ◽

Vol 11 (4) ◽

pp. 54

Author(s):

Simone Battistini

Keyword(s):

Optimal Strategies ◽

Capture Zone ◽

Pursuit Evasion ◽

Guidance Strategies ◽

Stochastic Characterization ◽

Evasion Game ◽

Multi Agent ◽

Planning Problems ◽

Insight Into

Pursuit-evasion games are used to define guidance strategies for multi-agent planning problems. Although optimal strategies exist for deterministic scenarios, in the case when information about the opponent players is imperfect, it is important to evaluate the effect of uncertainties on the estimated variables. This paper proposes a method to characterize the game space of a pursuit-evasion game under a stochastic perspective. The Mahalanobis distance is used as a metric to determine the levels of confidence in the estimation of the Zero Effort Miss across the capture zone. This information can be used to gain an insight into the guidance strategy. A simulation is carried out to provide numerical results.

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