Thursday, November 21, 2019

Future Hydrology and Leonardo da Vinci

I was asked to talk about Leonardo da Vinci (see here about his resumé) and project in the future its intuitions about doing science and hydrology. Not an easy task tough. Fortunately there were large analogies with some recent reflections I made on this blog, especially regarding patterns and patterns description.
What I produced, indeed,  would need some further thinking and deepening, but, at the talk I had some time constraints and I could not expand further (I took a lot more time than planned, when the Convener told us, we have more time). Anyway, the result is here below
and you can click on the Figure to see the presentation (some Figure may not be visualised in the on-line preview).  A little of bibliography here:
  • Bancheri, M., Serafin, F., & Rigon, R. (2019). The Representation of Hydrological Dynamical Systems Using Extended Petri Nets (EPN). Water Resources Research, 8(01), 159–27.
  • Capra, F.,2007, The Science of Leonardo, The Doubleday Broadway Publishing Group, a division of Random House Inc., New York. 
  • Corsini, A. (2018). Modeling (understanding and controlling) turbulent flows: the heritage of Leonardo da Vinci in modern fluid dynamics (pp. 1–15). Budapest.
  • Dietrich, W. E., Wilson, C., Montgomery, D. R., McKean, J., & Bauer, R. (1992). Erosion thresholds and land surface morphology. Geology, 20, 675–679.
  • Geymonat, L. (1970). La tecnica nel quattrocento - Lenardo da Vinci. In Storia del Pensiero Filosofico e Scientifico, Vol II (pp. 48–59).
  • Giometto, M., Christen, A., Egli, P. E., Schmid, M. F., Tooke, R. T., Coops, N. C., & B, P. M. (2017). Effects of trees on mean wind, turbulence and momentum exchange within and above a real urban environment. Advances in Water Resources, 106, 154–168.
  • Macagno, E. (1991). Some remarkable experiments of Leonardo da Vinci. La Houille Blanche, (6), 463–471.
  • Monaghan, J. J., & Kajtar, J. B. (2014).  Leonardo da Vinci’s turbulent tank in two dimensions. European Journal of Mechanics B/Fluids, 44, 1–9.
  • Montgomery, D. R. (1999). Process domains and the river continuum. Journal of the Water Resources Association, 397–410.
  • Pacioli, L., De Divina Proportione, Milan, 1509
  • Reichstein, M., Camps-Valls, G., Stevens, B., Jung, M., Denzler, J., Carvalhais, N., Prabhat. (2019). Deep learning and process understanding for data-driven Earth system science. Nature, 566(7743), 1–10.
  • Rigon, R. (A. Rinaldo, supervisor), Principle of self-organization in the evolutive dynamics of river networks, Universities of Padua, Florence and Trento, Ph.D. dissertation, 1994) 
  • Stroock, A. D., Pagay, V. V., Zwieniecki, M. A., & Michele Holbrook, N. (2014). The Physicochemical Hydrodynamics of Vascular Plants. Annu. Rev. Fluid Mech., 46(1), 615–642.
  • Weinan, E. (2019). Machine Learning: Mathematical Theory and Scientific Applications. Notices of the American Mathematical Society, 66(11), 1813–1820.

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