ducation
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Ph. D., Geography and Environmental Engineering (Hydrology), The Johns Hopkins University, 2018
Research Area
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·Experimental studies to better understand the hillslope scale dynamics and the hillslope co-evolution
·Development of low-order models and theories of hydrologic dynamics
·Development of numerical models
·Method development for estimating transit time distributions (and the StorAge Selection functions)
·Application of machine-learning tools for extracting information from catchment scale data
·Data visualization and educational program development (e.g., creating 3-D animations using experimental data and augmented reality)
Selected Papers
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Kim, M. and Harman, C. J. (2022), Transit times and StorAge Selection functions in idealized hillslopes with steady infiltration, Water Resources Research, doi:10.1029/2019WR025917
Kim, M., Volkmann, T. H. M., Wang, Y., Harman, C. J., and Troch, P. A. (2022), Direct observation of hillslope scale StorAge Selection functions in experimental hydrologic systems: Geomorphologic structure and preferential discharge of old water, Water Resources Research, doi:10.1029/2020WR028959
Meira Neto, A., Kim, M., and Troch, P. A. (2022), Physical interpretation of time-varying StorAge Selection functions in a model hillslope via geophysical imaging of ages of water, Water Resources Research, doi:10.1029/2021WR030950
Wang, C., Liu, G., McNew, C. P., Volkmann, T. H. M., Pangle, L. A., Troch, P. A., Lyon, S. W., Kim, M., Huo, Z., and Dahlke, H. E. (2022) Simulation of experimental synthetic DNA tracer transport through the vadose zone, Water Research, doi.org/10.1016/j.watres.2022.119009.
Kim, M., Volkmann, T. H. M., Bugaj, A., Wang, Y., Meira Neto, A., Matos, K., Harman, C. J., and Troch, P. A. (2021), Uncovering the hillslope scale flow and transport dynamics in an experimental hydrologic system, Hydrological Processes, doi:10.1002/hyp.14337
Kim, M. (2021), Simplexity in Hydrology: A balance between complexity and simplicity, Water for future (a magazine published by Korea Water Resources Association), 54 (9), 85-98 [Written in Korean]
Kim, M. and Troch, P. A. (2020), Transit time distributions estimation method exploiting flow-weighted time: Theory and proof-of-concept, Water Resources Research, doi:10.1029/ 2020WR027186
Arevalo et al. (2020), Highly sampled measurements in a controlled atmosphere at the Biosphere 2 Landscape Evolution Observatory, Scientific Data, doi:10.1038/s41597-020-00645-5
Knighton, J., Souter-Kline, V., Volkmann, T. H. M., Troch, P. A., Kim, M., Harman, C. J., Morris, C., Buchanan, B., and Walter, M. T. (2019), Seasonal and topographic variations in ecohydrological separation within a small, temperate, snowinfluenced catchment, Water Resources Research, doi:10.1029/2019WR025174
Evaristo, J., Kim, M., Joost, V. H., Harman, C. J., Troch, P. A., and McDonnell, J. J. (2019), Characterizing the Fluxes and Age Distribution of Soil Water, Plant Water, and Deep Percolation in a Model Tropical Ecosystem, Water Resources Research, doi:10.1029/2018WR023265
Wang, C., McNew, C., Lyon, S. W., Walter, M. T., Volkmann, T. H. M., Abramson, N., Sengupta, A., Wang, Y., Meira, A. A. N., Pangle, L., Troch, P. A., Kim, M., Harman, C. J., and Dahlke, H. E. (2019), Particle tracer transport in a sloping soil lysimeter under periodic, steady state conditions, Journal of Hydrology, doi:10.1016/j.jhydrol.2018.11.050
Harman, C. J. and Kim, M. (2018), A low-dimensional model of bedrock weathering and lateral flow co-evolution: 1. Hydraulic theory of reactive transport, Hydrological Processes, doi:10.1002/hyp.13360
Volkmann et al. (2018), Controlled experiments of hillslope coevolution at the Biosphere 2 Landscape Evolution Observatory: Toward prediction of coupled hydrological, biogeochemical, and ecological changes, In Hydrology of Artificial and Controlled Experiments, edited by Liu J. and Gu W., InTech, London, UK, doi:10.5772/intechopen.72325
Pangle, L. A., Kim, M., Cardoso, C., Lora, M., Volkmann, T. H. M., Wang, Y., Meira, A., Harman, C. J., and Troch, P. A. (2017), The mechanistic basis for storage-dependent age distributions of water discharged from an experimental hillslope, Water Resources Research, doi:10.1002/2016WR019901
Kim, M., Pangle, L. A., Cardoso, C., Lora, M., Volkmann, T. H. M., Wang, Y., Harman, C. J., and Troch, P. A. (2016), Transit time distributions and StorAge Selection functions in a sloping soil lysimeter with time-varying flow paths: Direct observation of internal and external transport variability, Water Resources Research, doi:10.1002/2016WR018620
Harman, C. J. and Kim, M. (2014), An efficient tracer test for time-variable transit time distributions in periodic hydrodynamic systems, Geophysical Research Letters, doi:10.1002/2013GL058980
Im, S., Kim, M., Kim, J., and Paik, G. (2012), Comparison of RUSLE and LISEM for the Evaluation of Spatial Distribution of Simulated Sediment Yield, Journal of Korea Society of Hazard Mitigation, doi:10.9798/KOSHAM.2012.12.5.199 [Written in Korean]