Literature DB >> 18538817

Assessment of the nutrient removal performance in integrated constructed wetlands with the self-organizing map.

Liang Zhang1, Miklas Scholz, Atif Mustafa, Rory Harrington.   

Abstract

The self-organizing map (SOM) model was applied to predict outflow nutrient concentrations for integrated constructed wetlands (ICWs) treating farmyard runoff. The SOM showed that the outflow ammonia-nitrogen concentrations were strongly correlated with water temperature and salt concentrations, indicating that ammonia-nitrogen removal is effective at low salt concentrations and comparatively high temperatures in ICWs. Soluble reactive phosphorus removal was predominantly affected by salt and dissolved oxygen concentrations. In addition, pH and temperature were weakly correlated with soluble reactive phosphorus removal, suggesting that soluble reactive phosphorus was easily removed within ICWs, if salt concentrations were low, and dissolved oxygen, temperature and pH values were high. The SOM model performed very well in predicting the nutrient concentrations with water quality variables such as temperature, conductivity and dissolved oxygen, which can be measured cost-effectively. The results indicate that the SOM model was an appropriate approach to monitor wastewater treatment processes in ICWs.

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Year:  2008        PMID: 18538817     DOI: 10.1016/j.watres.2008.04.027

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  4 in total

1.  Characteristics of nutrients in natural wetland in winter: a case study.

Authors:  Liang Zhang; Yun Du; Shengjun Wu; Cheng Yu; Qi Feng; Xuan Ban; Xianyou Ren; Huaiping Xue
Journal:  Environ Monit Assess       Date:  2011-09-16       Impact factor: 2.513

2.  Assessment of the Eutrophication-Related Environmental Parameters in Two Mediterranean Lakes by Integrating Statistical Techniques and Self-Organizing Maps.

Authors:  Ekaterini Hadjisolomou; Konstantinos Stefanidis; George Papatheodorou; Evanthia Papastergiadou
Journal:  Int J Environ Res Public Health       Date:  2018-03-19       Impact factor: 3.390

3.  A novel approach combining self-organizing map and parallel factor analysis for monitoring water quality of watersheds under non-point source pollution.

Authors:  Yixiang Zhang; Xinqiang Liang; Zhibo Wang; Lixian Xu
Journal:  Sci Rep       Date:  2015-11-03       Impact factor: 4.379

4.  What drives the aerosol distribution in Guangdong--the most developed province in Southern China?

Authors:  Lili Li; Yunpeng Wang
Journal:  Sci Rep       Date:  2014-08-06       Impact factor: 4.379

  4 in total

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