Prediction of design flood discharge by statistical downscaling and General Circulation Models

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@Article{Tofiq:2014:JH,
  author =       "F. A. Tofiq and A. Guven",
  title =        "Prediction of design flood discharge by statistical
                 downscaling and General Circulation Models",
  journal =      "Journal of Hydrology",
  year =         "2014",
  volume =       "517",
  month =        "19 " # sep,
  pages =        "1145--1153",
  keywords =     "genetic algorithms, genetic programming, Linear
                 genetic programming, Design flood, Peak monthly
                 discharge, Statistical downscaling",
  ISSN =         "0022-1694",
  DOI =          "doi:10.1016/j.jhydrol.2014.06.028",
  URL =          "http://www.sciencedirect.com/science/article/pii/S0022169414004880",
  size =         "9 pages",
  abstract =     "The global warming and the climate change have caused
                 an observed change in the hydrological data; therefore,
                 forecasters need re-calculated scenarios in many
                 situations. Downscaling, which is reduction of time and
                 space dimensions in climate models, will most probably
                 be the future of climate change research. However, it
                 may not be possible to redesign an existing dam but at
                 least precaution parameters can be taken for the worse
                 scenarios of flood in the downstream of the dam
                 location. The purpose of this study is to develop a new
                 approach for predicting the peak monthly discharges
                 from statistical downscaling using linear genetic
                 programming (LGP). Attempts were made to evaluate the
                 impacts of the global warming and climate change on
                 determining of the flood discharge by considering
                 different scenarios of General Circulation Models.
                 Reasonable results were achieved in downscaling the
                 peak monthly discharges directly from daily surface
                 weather variables (NCEP and CGCM3) without involving
                 any rainfall-runoff models.",
  notes =        "Civil Engineering Department, Gaziantep University,
                 Gaziantep, Turkey",
}

Genetic Programming entries for F A Tofiq Aytac Guven

Citations