Modeling Complex Wetland Systems

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


This chapter focuses on the self-organizing map (SOM) model, which was applied to predict outflow nutrient concentrations for ICW 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 as low salt concentrations and comparatively high temperatures in ICW. The SRP removal was predominantly affected by salt and dissolved oxygen concentrations. In addition, pH and temperature were weakly correlated with SRP removal, suggesting that SRP was easily removed within ICW 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 ICW.

Original languageEnglish
Title of host publicationWetland Systems
Subtitle of host publicationStorm Water Management Control
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9781849964586
Publication statusPublished - 2011
Externally publishedYes

Publication series

NameGreen Energy and Technology
ISSN (Print)1865-3529
ISSN (Electronic)1865-3537

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Management, Monitoring, Policy and Law
  • Industrial and Manufacturing Engineering


Dive into the research topics of 'Modeling Complex Wetland Systems'. Together they form a unique fingerprint.

Cite this