Conference proceedings

Displaying 1 - 2 of 2 in Environmental data analysis and modelling (remove filter), compounds (remove filter)

CEST Proceedings are published under the ISSN 2944-9820.

Artificial Neural Network (ANNs) for predicting petroleum hydrocarbons from heavy metals contaminated soils around fuel stations

(Corresponding) Bonelli M., Manni A., Saviano G.

Topic:

Environmental data analysis and modelling

Petrol stations are classified as a dangerous source of pollution for the human population due to the toxicity of emissions from evaporated vehicle fuels and fuel spillages. The contaminants released in the environment are mainly complex mixtures of petroleum hydrocarbon compounds (PHCs) and heavy...Read more

Keywords:

Artificial Neural Network predictions, heavy metals, field portable XRF, petroleum hydrocarbon compounds

DOI:

https://doi.org/10.30955/gnc2021.00347

Conference:

CEST2021

Paper ID:

cest2021_00347

Predictive Transport Model of Bisphenol-A in Main Pampanga River

(Corresponding) Austero S., Resurreccion A., Rollon A., Ballesteros F., Kwan C., Herrera E., Sinoy M., Macasieb R.

Topic:

Environmental data analysis and modelling

Phenolic endocrine disrupting compounds (EDCs) like Bisphenol-A (BPA) can interfere in the natural processes being done by the endocrine system of living organisms. To assess the effect of such contaminant in the Main Pampanga River of the Philippines, a transport model was developed using the...Read more

Keywords:

Endocrine disrupting compounds, Bisphenol-A, HEC-HMS, WASP, Pampanga River

DOI:

https://doi.org/10.30955/gnc2023.00264

Conference:

CEST2023

Paper ID:

cest2023_00264