Literature DB >> 23001788

Water quality modelling of Lis River, Portugal.

Judite Vieira1, André Fonseca, Vítor J P Vilar, Rui A R Boaventura, Cidália M S Botelho.   

Abstract

The aim of the study was to predict the impact of flow conditions, discharges and tributaries on the water quality of Lis River using QUAL2Kw model. Calibration of the model was performed, based on data obtained in field surveys carried out in July 2004 and November 2006. Generally the model fitted quite well the experimental data. The results indicated a decrease of water quality in the downstream area of Lis River, after the confluence of Lena, Milagres and Amor tributaries, as a result of discharges of wastewaters containing degradable organics, nutrients and pathogenic organisms from cattle-raising wastewaters, domestic effluents and agricultural runoff. The water quality criteria were exceeded in these areas for dissolved oxygen, biochemical oxygen demand, total nitrogen and faecal coliforms. Water quality modelling in different scenarios showed that the impact of tributaries on the quality of Lis River water was quite negligible and mainly depends on discharges, which are responsible by an increase of almost 45, 13 and 44 % of ultimate carbonaceous biochemical oxygen demand (CBOD(u)), ammonium nitrogen and faecal coliforms, for winter simulation, and 23, 33 and 36 % for summer simulation, respectively, when compared to the real case scenario.

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Year:  2012        PMID: 23001788     DOI: 10.1007/s11356-012-1124-5

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  3 in total

1.  Water quality in Lis river, Portugal.

Authors:  Judite Vieira; André Fonseca; Vítor J P Vilar; Rui A R Boaventura; Cidália M S Botelho
Journal:  Environ Monit Assess       Date:  2012-12       Impact factor: 2.513

2.  Water quality modelling of the river Yamuna (India) using QUAL2E-UNCAS.

Authors:  Ritu Paliwal; Prateek Sharma; Arun Kansal
Journal:  J Environ Manage       Date:  2006-05-11       Impact factor: 6.789

3.  Assessing pollution prevention program by QUAL2E simulation analysis for the Kao-Ping River Basin, Taiwan.

Authors:  S K Ning; N B Chang; L Yang; H W Chen; H Y Hsu
Journal:  J Environ Manage       Date:  2001-01       Impact factor: 6.789

  3 in total
  5 in total

1.  Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case study.

Authors:  Davor Antanasijević; Viktor Pocajt; Dragan Povrenović; Aleksandra Perić-Grujić; Mirjana Ristić
Journal:  Environ Sci Pollut Res Int       Date:  2013-06-14       Impact factor: 4.223

2.  Estimation of contribution ratios of pollutant sources to a specific section based on an enhanced water quality model.

Authors:  Bibo Cao; Chuan Li; Yan Liu; Yue Zhao; Jian Sha; Yuqiu Wang
Journal:  Environ Sci Pollut Res Int       Date:  2015-03-18       Impact factor: 4.223

3.  Integrating water quality responses to best management practices in Portugal.

Authors:  André Fonseca; Rui A R Boaventura; Vítor J P Vilar
Journal:  Environ Sci Pollut Res Int       Date:  2017-11-03       Impact factor: 4.223

4.  On the successful use of a simplified model to simulate the succession of toxic cyanobacteria in a hypereutrophic reservoir with a highly fluctuating water level.

Authors:  Ali Fadel; Bruno J Lemaire; Brigitte Vinçon-Leite; Ali Atoui; Kamal Slim; Bruno Tassin
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-18       Impact factor: 4.223

5.  CTX-M-Producing Bacteria Isolated from a Highly Polluted River System in Portugal.

Authors:  Marta Tacão; José Laço; Pedro Teixeira; Isabel Henriques
Journal:  Int J Environ Res Public Health       Date:  2022-09-20       Impact factor: 4.614

  5 in total

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