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Order of appearence	Full citation	SRCosmos Link
1	Bear J, Buchlin JM, (1987) Modeling and applications of transport phenomena in porous media. Kluwer Academic Publishers, Netherlands.
2	Dagan G, (1986) Statistical Theory of Groundwater Flow and Transport: Pore to Laboratory, Laboratory to Formation, and Formation to Regional Scale. Water Resources Research, Vol. 22, 120S-134S.
3	Freeze RA, (1975) A stochastic conceptual analysis of one-dimensional groundwater flow in non uniform homogeneous media. Water Resources Research, Vol. 11, 725-742.
4	Mantoglou A, Wilson JL, (1982) The Turning Bands Method for Simulation of Random Fields Using Line Generation by a Spectral Method. Water Resources Research, Vol. 181379-1394.
5	Sudicky EA, (1986) A Natural Gradient Experiment on Solute Transport in a Sand Aquifer: Spatial Variability of Hydraulic Conductivity and its Role in the Dispersion Process. Water Resources Research, Vol. 22, 2069-2082.
6	Tompson AFB, Vomvoris G, Gelhar LW, (1987) Numerical Simulation of Solute Transport in Randomly Heterogeneous Porous Media: Motivation, Model Development, and Application. Rep. UCID-21281, Lawrence Livermore Natl., Lab., Livermore, California.
7	Uffink GJM, (1990) Analysis of dispersion by the random walk method. Ph.D. Thesis, Delft University of Technology, The Netherlands.
8	Yenigul NB, Elfeki AMM, Gehrels JC, Akker-Chensebergn AT, Dekking FM, (2005) Reliability Assessment of Groundwater Monitoring Networks at Landfill Sites. Journal of Hydrology, 308, 1-17.

Keywords
Abstract	Subsurface water pollution due to landfill leaks has become an important issue the last three decades. Subsurface heterogeneity and lack of information about the exact location and duration of a leak render it extremely difficult to predict and detect subsurface water pollution before it has already spread and become evident. The subject of this study is the calculation of the detection probability of an instantaneous leak originating from a random location inside the boundaries of a two-dimensional rectangular landfill that can be achieved by a linear arrangement of monitoring wells. Calculations take place in a Monte Carlo stochastic framework, with the subsurface heterogeneity reproduced by the Turning Bands method and the flow of the pollutant plume described by the Random Walk Particle Tracking method. The resulting computational model provides the detection probability and area of a subsurface pollutant plume for a linear configuration of monitoring wells. An empirical formula was also derived that can be used to calculate in a simple manner the detection probability of contaminants for different configuration of wells.
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Name	Affiliation	Home page	e-mail	Total pubs
Paleologos EK	Department of Environmental Engineering, Technical University of Crete, Chania, Greece 73100		evan.paleologos@enveng.tuc.gr	9
Papapetridis K	Dept. of Environmental Engineering, Technical University of Crete, Greece			2