Investigation of groundwater quality indices and health risk assessment of water resources of Jiroft city, Iran, by machine learning algorithms
Abstract Assessing water quality is essential for acquiring a better understanding of the importance of water in human society. In this study, the quality of groundwater resources in Jiroft city, Iran, using artificial intelligence methods to estimate the groundwater quality index (GWQI) was evaluat...
Saved in:
Main Authors: | Sobhan Maleky, Maryam Faraji, Majid Hashemi, Akbar Esfandyari |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2024-12-01
|
Series: | Applied Water Science |
Subjects: | |
Online Access: | https://doi.org/10.1007/s13201-024-02330-z |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analyzing the Relationship Between City and its influence From Economic Dimension(Case study of Jiroft city)
by: sedighe mosazade, et al.
Published: (2022-12-01) -
Petrology of Oligocene Lalehzar igneous rocks in the southeast of Saveh-Naein-Jiroft magmatic belt
by: Fatemeh Sepidbar, et al.
Published: (2024-12-01) -
Groundwater dependent ecosystems – groundwater status indicators
by: Kim Mezga, et al.
Published: (2016-06-01) -
Identification of hydrochemical processes and assessment of groundwater quality: a case study of the intergranular aquifer in Dili City, Timor-Leste
by: Marçal Ximenes, et al.
Published: (2025-01-01) -
Modeling Groundwater Resources in Data-Scarce Regions for Sustainable Management: Methodologies and Limits
by: Iolanda Borzì
Published: (2025-01-01)