Estimation of pan evaporation using soft computing tools

Created by W.Langdon from gp-bibliography.bib Revision:1.3949

@Article{Chaudhari:2012:IJHST,
  author =       "Narhari Chaudhari and Shreenivas Londhe and 
                 Kanchan Khare",
  title =        "Estimation of pan evaporation using soft computing
                 tools",
  year =         "2013",
  month =        feb # "~28",
  volume =       "2",
  journal =      "International Journal of Hydrology Science and
                 Technology",
  issue =        "4",
  pages =        "373--390",
  keywords =     "genetic algorithms, genetic programming, pan
                 evaporation, soft computing, artificial neural
                 networks, ANNs, penman's equation, water resources
                 management, water management, evaporation estimation.",
  ISSN =         "2042-7816",
  publisher =    "Inderscience Publishers",
  bibsource =    "OAI-PMH server at www.inderscience.com",
  language =     "eng",
  URL =          "http://www.inderscience.com/link.php?id=52375",
  DOI =          "DOI:10.1504/IJHST.2012.052375",
  abstract =     "Estimation of evaporation plays a key role in managing
                 water resources projects. Traditionally, evaporation is
                 determined using theoretical and empirical techniques
                 as well as by pan observations. Practically, it is
                 difficult to install evaporation pans at every location
                 and empirical approach like Penman's equation is data
                 intensive. This necessitates the use of an alternative
                 approach, which can make use of readily available data
                 and estimate evaporation reasonably with limited data.
                 Major objective of the present study is to estimate
                 evaporation using the soft computing tools of
                 artificial neural networks (ANN) and genetic
                 programming (GP) making use of the measured climatic
                 parameters and to compare the results with traditional
                 empirical techniques. The results indicate that the
                 models developed using the soft computing tools of ANN
                 and GP worked reasonably well for estimation of
                 evaporation compared to empirical methods. GP works
                 slightly better for higher values of pan evaporation
                 compared to ANN.",
}

Genetic Programming entries for Narhari Chaudhari S N Londhe K C Khare

Citations