Application of soft computing in predicting groundwater quality parameters
Evaluating the quality of groundwater in a specific aquifer could be a costly and time-consuming procedure. An attempt was made in this research to predict various parameters of water quality called Fe, Cl, SO4, pH and total hardness (as CaCO3) by measuring properties of total dissolved solids (TDSs...
Saved in:
Main Authors: | Hanoon, Marwah Sattar, Ammar, Amr Moftah, Ahmed, Ali Najah, Razzaq, Arif, Birima, Ahmed H., Kumar, Pavitra, Sherif, Mohsen, Sefelnasr, Ahmed, El-Shafie, Ahmed |
---|---|
Format: | Article |
Published: |
Frontiers Media SA
2022
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/33338/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of artificial intelligence models for modeling water quality in groundwater: Comprehensive review, evaluation and future trends
by: Hanoon, Marwah Sattar, et al.
Published: (2021) -
Application of Soft Computing in Predicting Groundwater Quality Parameters
by: Hanoon M.S., et al.
Published: (2023) -
Developing machine learning algorithms for meteorological temperature and humidity forecasting at Terengganu state in Malaysia
by: Hanoon, Marwah Sattar, et al.
Published: (2021) -
Past, present and perspective methodology for groundwater modeling-based machine learning approaches
by: Osman, Ahmedbahaaaldin Ibrahem Ahmed, et al.
Published: (2022) -
Wind speed prediction over Malaysia using various machine learning models: Potential renewable energy source
by: Hanoon, Marwah Sattar, et al.
Published: (2022)