Relationship between benthic macroinvertebrate bio-indices and physicochemical parameters of water: a tool for water resources managers

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@Article{Yazdian:2014:JEHSE,
  author =       "Hamed Yazdian and Nematollah Jaafarzadeh and 
                 Banafsheh Zahraie",
  title =        "Relationship between benthic macroinvertebrate
                 bio-indices and physicochemical parameters of water: a
                 tool for water resources managers",
  year =         "2014",
  journal =      "Journal of Environmental Health Science and
                 Engineering",
  volume =       "12",
  number =       "30",
  month =        jan # "~10",
  keywords =     "genetic algorithms, genetic programming, bio-diversity
                 index, physicochemical parameter, Margalef index",
  publisher =    "BioMed Central",
  isbnx =        "52-336X-12-30",
  ISSN =         "2052-336X",
  bibsource =    "OAI-PMH server at www.ncbi.nlm.nih.gov",
  language =     "en",
  oai =          "oai:pubmedcentral.nih.gov:3895749",
  URL =          "http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3895749",
  URL =          "http://www.ncbi.nlm.nih.gov/pubmed/24410768",
  URL =          "http://dx.doi.org/10.1186/2052-336X-12-30",
  size =         "9 pages",
  abstract =     "The ecosystem health of rivers downstream of dams is
                 among the issues that has become focus of attention of
                 many researchers particularly in the recent years. This
                 paper aims to deal with the question, how the
                 environmental health of a river ecosystem can be
                 addressed in water resources planning and management
                 studies. In this study, different parameters affecting
                 the ecosystem of river-reservoir systems, as well as
                 various biological components of river ecosystems have
                 been studied and among them, benthic
                 macro-invertebrates have been selected. Among various
                 bio-indices, biodiversity indices have been selected as
                 the evaluation tool. The case study of this research is
                 Aboulabbas River in Khuzestan province in Iran. The
                 relationship between the biodiversity indices and
                 physicochemical parameters have been studied using
                 correlation analysis, Principal Component Analysis
                 (PCA), and Genetic Programming (GP). Margalef index was
                 selected as the appropriate bio-index for the studied
                 catchment area. The relationship found in this study
                 for the first time between the Margalef bio-index and
                 physicochemical parameters of water in the Aboulabbas
                 River has proved to be a useful tool for water
                 resources managers to assess the ecosystem status when
                 only physicochemical properties of water are known.",
}

Genetic Programming entries for Hamed Yazdian Nematollah Jaafarzadeh Banafsheh Zahraie

Citations