Recent publications
Iwashita, F., Friedel, M.J., Souza-Filho, C.R., Fraser, S.J., 2011. Hillslope chemical weathering across Paraná, Brazil: A data mining-GIS hybrid approach. Geomorphology 132(3-4), 167-175.
Friedel, M.J., 2011, Modeling hydrologic and geomorphologic responses across post-fire landscapes using a self-organizing map approach, Environmental Modeling and Software, 26(12), 1660-1674.
Friedel, M.J., 2011, A data-driven approach for modeling post-fire debris-flow volumes and their uncertainty, Environmental Modelling & Software, 26(12), 1583-1598.
Iwashita, F., Friedel, M.J., Rebeiro, G.F., Fraser, S.J., 2011, Intelligent estimation of hydrogeologic properties, Geoderma, 171, 1-10.
Friedel, M.J., Souza, O.F., Iwashita, F., Yoshinaga, S. P, Silva, A M, accepted, Data-driven modeling for groundwater exploration in fractured crystalline terrain, Northeast Brazil, Hydrogeology Journal.
Friedel, M.J., Iwashtia, F., in review, Hybrid spatial modeling of autocorrelated random variables with application to environmental inverse problems, Environmental Modelling & Software. Moreira, L, Friedel, M., Franca, G., in review, Estimation and analysis of nonlinear uncertainty in joint seismic crustal modeling. Geophysical Journal International. Friedel, M., in review, Hybrid modeling to predict the economic feasibility of mining undiscovered porphyry copper deposits – an alternative hybrid approach. Applied Soft Computing. Manuscripts in preparation Friedel, M.J., in preparation, Intelligent scaling of ground-water recharge measurements, Ground Water Journal. Friedel, M.J., in preparation, Data-driven estimation and forecasting of climate change effects on ground water recharge in the Midwestern United States, Ground Water Journal.
Moreira, L, Friedel, M., in preparation, Joint inversion of receiver function, surface wave dispersion and magnetotelluric data for 2D crustal modeling. Geophysical Journal International.
Koga-Vicente, A, Friedel, M.J., in preparation, Comparison of empirical and data-driven models when forecasting climate variability on the hydrometeorologic risks of coastal cities São Paulo, Brazil. Environmental Modeling & Software.
