Water quality assessment of the Jaibaras River, Ceará, Brazil using principal component analysis.

Authors

  • Enio Girão Embrapa Agroindústria Tropical
    • Eunice Andrade Universidade Federal do Ceará
      • Morsyleide Rosa Embrapa Agroindústria Tropical
        • Lúcia Araújo Universidade Federal do Ceará
          • Ana Meireles Universidade Federal do Ceará

            Keywords:

            surface water, factor analysis, multivariate analysis, water pollution

            Abstract

            Multivariate statistical techniques, Factor Analysis/Principal Component Analysis – FA/PCA, was applied to the data set on water quality of the Jaibaras River, Ceará, Brazil to identify the most significant pollution sources/factors. The data set was generated during three years (Apr/2002 to Jun/2005) monitoring at two sites (P1 - Ayres de Souza water gate and P2 - the outlet of the Jaibaras River). It was analyzed the following variables: pH, EC, Na+, Ca+2, Mg+2, K+, Cl-, HCO3-, PO4-2, NH+4, NO3-, SO4-2 and Sodium Absorption Ratio (SAR). At the P1, three principal components were extracted, explaining 80% of the data variance. The first factor was mainly assigned to mineralization, while the others factors were built from variables indicative of pollution. At the P2, FA/PCA showed the existence of two factors which account to 81% of the total variance, and water quality were mainly influenced by nitrate, fertilizers and waste (human actions). The FA/PCA reflected the physicochemical and pollution characteristics of the water quality in the Jaibaras River.

            Downloads

            Download data is not yet available.

            Downloads

            Published

            2008-11-17

            Issue

            Vol. 38 No. 1 (2007)

            Section

            Ciência do Solo e Engenharia Agrícola

            License

            Atribuição
            CC BY

            Esta licença permite que outros distribuam, remixem, adaptem e criem a partir do seu trabalho, mesmo para fins comerciais, desde que lhe atribuam o devido crédito pela criação original. É a licença mais flexível de todas as licenças disponíveis. É recomendada para maximizar a disseminação e uso dos materiais licenciados. Ver o Resumo da Licença | Ver o Texto Legal

            How to Cite

            GIRÃO, Enio; ANDRADE, Eunice; ROSA, Morsyleide; ARAÚJO, Lúcia; MEIRELES, Ana. Water quality assessment of the Jaibaras River, Ceará, Brazil using principal component analysis. Revista Ciência Agronômica, [S. l.], v. 38, n. 1, 2008. Disponível em: https://periodicos.ufc.br/revistacienciaagronomica/article/view/83736. Acesso em: 30 apr. 2026.