Neural Network-Based Modeling of Water Quality in Jodhpur, India
In this paper, the quality of a source of drinking water is assessed by measuring eight water quality (WQ) parameters using 710 samples collected from a water-stressed region of India, Jodhpur Rajasthan. The entire sample was divided into ten groups representing different geographic locations. Using...
Main Authors: | Krishna Kumar Sinha, Mukesh Kumar Gupta, Malay Kumar Banerjee, Gowhar Meraj, Suraj Kumar Singh, Shruti Kanga, Majid Farooq, Pankaj Kumar, Netrananda Sahu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-05-01
|
Series: | Hydrology |
Subjects: | |
Online Access: | https://www.mdpi.com/2306-5338/9/5/92 |
Similar Items
-
Assessing the Groundwater Reserves of the Udaipur District, Aravalli Range, India, Using Geospatial Techniques
by: Megha Shyam, et al.
Published: (2022-02-01) -
Vulnerability and Risk Assessment to Climate Change in Sagar Island, India
by: Aparna Bera, et al.
Published: (2022-03-01) -
Management of Landslides in a Rural–Urban Transition Zone Using Machine Learning Algorithms—A Case Study of a National Highway (NH-44), India, in the Rugged Himalayan Terrains
by: Mohsin Fayaz, et al.
Published: (2022-06-01) -
Status of Air Pollution during COVID-19-Induced Lockdown in Delhi, India
by: Harikesh Singh, et al.
Published: (2022-12-01) -
Understanding the Linkage between Urban Growth and Land Surface Temperature—A Case Study of Bangalore City, India
by: Shruti Kanga, et al.
Published: (2022-08-01)