Životopis

Marek Vach

Born: 29.6.1967, Brno, Czech Republic

ORCID: 0000-0002-1800-8882

WoS ResearcherID: ABC-9555-2020

Academic degrees: 

1990 – MSc., Physical chemistry, Faculty of Natural Sciences Comenius University, Bratislava

2001 - Ph.D. Faculty of forestry, Czech University of Life Sciences Prague

2006 – habilitation, Faculty of forestry and environment, Czech University of Life Sciences Prague

Position held: 

1992 - 2006: Research Assistant, Czech University of Life Sciences Prague, Faculty of Environmental Sciences (previously Faculty of Forestry, respectively Faculty of Forestry and Environment)

2006 - Associate Professor, Czech University of Life Sciences Prague, Faculty of Environmental Sciences

2002 - 2012: Research scientist, Geological institute of AS CR, Prague

Research: 

Creation of mathematical models:

• A stochastic model for computing the probability distribution of equilibrium in spatial data using a game theory approach: Paper 2 (theory) and 1 (application). Available on equsis.com.
• Analytical model for evaluating molar volume effect for calculation of diffusion in binary systems: Paper 3.
• A Lagrangian numerical model for simulation of passive pollutants dispersion in calculated local flow field in PBL: Paper 4.
• Semi-analytical model of 1D sorption kinetics (model of sorption interactions in a column): Paper 5.

Environmental chemistry:

• Monitoring and evaluation of atmospheric deposition of heavy metals: Paper 6 and 7

Teaching:

• Physical - Chemical Aspects of Processes in Environment (textbook).
• Transport of Contaminants in Atmosphere (textbook).
• Hydrochemistry
• Air Protection

Selected papers:

1. Vach, M., Vachová, P., Walmsley, A., Berka, M., Albert, J., Cienciala, E., Braun Kohlová, M., Máca, V. Melichar, J., 2022: Stochastic evaluation of restoration procedures on post-mining land areas using a game theory approach. Land Degradation & Development, 33(3), p. 484-496.
2. Vach, M., 2020: A game-theoretic approach for stochastic estimation of equilibrium in land use data: stochastic estimation of equilibrium in land use data. Stochastic Environmental Research and Risk Assessment, 34(12), p. 2107-2124.
3. Vach, M., Svojtka, M., 2012: Evaluation of molar volume effect for calculation of diffusion in binary systems. Metallurgical and Materials Transactions B 43(6), p. 1446-1453.
4. Vach, M., Duong, V.M., 2011: Numerical modeling of mlow mields and dispersion of passive pollutants in the vicinity of the Temelín Nuclear power plant. Environmental Modeling and Assessment 16 (2), p. 135-143.
5. Navrátil, T., Vach, M., Norton, S.A., Skřivan, P., Hruška, J., Maggini, L., 2003: Chemical response of a small stream in a forested catchment (central Czech Republic) to a short-term in-stream acidification. Hydrology and Earth System Sciences, 3, (7), p. 411-423.
6. Vachová, P., Vach, M., Najnarová, E, 2017: Using expansive grasses for monitoring heavy metal pollution in the vicinity of roads. Environmental Pollution, 229, p. 94-101.
7. Vach, M., Skřivan, P., Rohovec, J., Fišák, J., Kubínová, P., Burian, M., 2009: Inorganic pollutants in wet atmospheric deposition and the trajectories of their possible transport. Water Air and Soil Pollution, 196, (1-4). p. 369-383.