Assessment of Water Quality in Lake Qaroun Using Ground-Based Remote Sensing Data and Artificial Neural Networks

Assessment of Water Quality in Lake Qaroun Using Ground-Based Remote Sensing Data and Artificial Neural Networks

Monitoring and managing water quality parameters (WQPs) in water bodies (e.g., lakes) on a large scale using sampling-point techniques is tedious, laborious, and not highly representative. Hyperspectral and data-driven technology have provided a potentially valuable tool for the precise measurement...

Full description

Saved in:
Bibliographic Details
Main Authors: Salah Elsayed, Hekmat Ibrahim, Hend Hussein, Osama Elsherbiny, Adel H. Elmetwalli, Farahat S. Moghanm, Adel M. Ghoneim, Subhan Danish, Rahul Datta, Mohamed Gad
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
artificial neural networks models
total nitrogen
non-destructive technique
water quality
lakes
Hydraulic engineering
TC1-978
Water supply for domestic and industrial purposes
TD201-500
Online Access:https://doaj.org/article/5585eeb5980b45f088cc3b59e7e6de87
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/5585eeb5980b45f088cc3b59e7e6de87

Similar Items