Open AccessGenetic Programming based Modeling Method for Prediction of Phosphate in Water Hyacinth based Wetland System
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b1004.1292s219
Subject(s) - hyacinth , wetland , wastewater , genetic programming , phosphate , environmental science , inlet , environmental engineering , sewage treatment , hydrology (agriculture) , ecology , computer science , engineering , biology , geotechnical engineering , artificial intelligence , mechanical engineering , paleontology , biochemistry
Phosphate Removal is very essential while discharging into natural water bodies. In this study, water hyacinth based wetland system is created at lab scale level, the inlet phosphate, outlet phosphate is studied daily till maximum removal is obtained. Weather parameters namely Apparent temperature (Ta) and wastewater temperature (Tw) are collected. Genetic Programming (GP) based mathematical model is developed and influence of weather parameter and wastewater temperature is studied. It is seen Genetic programming based mathematical model can predict the behaviour of wetland system accurately and the influence of weather is not evident in small level wetland system because of less in variation of Ta and Tw. Also it is recommended to conduct the experiments with variation of Ta and Tw to understand the major input parameter affecting the wetland system.