Genetic programming approach on evaporation losses and its effect on climate change for Vaipar Basin

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@Article{Kasiviswanathan:2011:IJCSI,
  author =       "K. S. Kasiviswanathan and 
                 R. Soundhara Raja Pandian and S. Saravanan and Avinash Agarwal",
  title =        "Genetic programming approach on evaporation losses and
                 its effect on climate change for Vaipar Basin",
  journal =      "International Journal of Computer Science Issues",
  year =         "2011",
  volume =       "8",
  number =       "2",
  pages =        "269--274",
  month =        sep,
  publisher =    "IJCSI Press",
  keywords =     "genetic algorithms, genetic programming, climate
                 change, green house effect",
  ISSN =         "16940784",
  URL =          "http://www.ijcsi.org/papers/IJCSI-8-5-2-269-274.pdf",
  broken =       "http://www.doaj.org/doaj?func=openurl\&genre=article\&issn=16940784\&date=2011\&volume=8\&issue=5\&spage=269",
  size =         "6 pages",
  abstract =     "Climate change is the major problem that every human
                 being is facing over the world. The rise in fossil fuel
                 usage increases the emission of `greenhouse' gases,
                 particularly carbon dioxide continuously into the
                 earth's atmosphere. This causes a rise in the amount of
                 heat from the sun withheld in the earth's atmosphere
                 that would normally radiated back into space. This
                 increase in heat has led to the greenhouse effect,
                 resulting in climate change and rise in temperature
                 along with other climatological parameters directly
                 affects evaporation losses. Accurate modelling and
                 forecasting of these evaporation losses are important
                 for preventing further effects due to climate change.
                 Evaporation is purely non-linear and varying both
                 spatially and temporally. This needs suitable data
                 driven approach to model and should have the ability to
                 take care of all these non-linear behaviour of the
                 system. As such, though there are many empirical and
                 analytical models suggested in the literature for the
                 estimation of evaporation losses, such models should be
                 used with care and caution. Further, difficulties arise
                 in obtaining all the climatological data used in a
                 given analytical or empirical model. Genetic
                 programming (GP) is one such technique applied where
                 the non-linearity exist. GP has the flexible
                 mathematical structure which is capable of identifying
                 the non-linear relationship between input and output
                 data sets. Thus, it is easy to construct 'local' models
                 for estimating evaporation losses. The performance of
                 GP model is compared with Thornthwaite method, and
                 results from the study indicate that the GP model
                 performed better than the Thornthwaite method.
                 Forecasting of meteorological parameters such as
                 temperature, relative humidity and wind velocity has
                 been performed using Markovian chain series analysis
                 subsequently it is used to estimate the future
                 evaporation losses using developed GP model. Finally
                 the effect of possible future climate change on
                 evaporation losses in Pilavakkal reservoir scheme,
                 India has been discussed.",
  bibsource =    "OAI-PMH server at www.doaj.org",
  language =     "eng",
  oai =          "oai:doaj-articles:c4475caf64dedd913ee20c03b88e8b70",
}

Genetic Programming entries for K S Kasiviswanathan R Soundhara Raja Pandian S Saravanan Avinash Agarwal

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