Print Email Facebook Twitter Genetic Programming in Hydrology Title Genetic Programming in Hydrology: Using genetic programming in conceptual modelling Author van Ramshorst, Justus (TU Delft Civil Engineering and Geosciences; TU Delft Water Management) Contributor Savenije, Hubert (mentor) Schoups, G.H.W. (mentor) Babovic, V (mentor) Degree granting institution Delft University of TechnologyNational University of Singapore Programme Water Management Project Additional thesis Date 2017 Abstract This report introduces the use of Genetic Programming (GP) into hydrology by describing the results of GP using conceptual hydrological models as physical representation. First the possibilities of GP are tested on synthetic data, which results in a shortlist of good working objective functions and insight in the most important GP settings. The test on real data in the Belgium Ardennes showed that GP using the objective functions KG10, MM and Shafii performed better. Nevertheless all three models performed not well on simulating the low flows and high peaks. Furthermore GP using KG10 and MM both results in simple serial models which perform well overall, but bad on quick response runoff. Shafii resulted in parallel models which show quick response flow, however GP it is not able to capture the fast responses correctly (yet). GP has the potential to improve the understanding in the behaviour of catchments, however it still needs the human mind to observe, compare and analyse the modelling results. The main consideration with GP is to look for a balance between: model search space, objective function, randomness and (computational) time. The challenge is how to lead GP in an efficient way without removing the possibility of finding unknown patterns. Subject Genetic programmingConceptual modellingHydrology To reference this document use: http://resolver.tudelft.nl/uuid:e1c648c7-a28f-4a9f-be20-22cc6c2c80eb Part of collection Student theses Document type student report Rights © 2017 Justus van Ramshorst Files PDF Report_GP_in_Hydrology_final.pdf 3.51 MB Close viewer /islandora/object/uuid:e1c648c7-a28f-4a9f-be20-22cc6c2c80eb/datastream/OBJ/view