Using a linear discriminant analysis (LDA)-based nomenclature system and self-organizing maps (SOM) for spatiotemporal assessment of groundwater quality in a coastal aquifer-Reference-Cited by-同舟云学术

Using a linear discriminant analysis (LDA)-based nomenclature system and self-organizing maps (SOM) for spatiotemporal assessment of groundwater quality in a coastal aquifer

Published:2021-12 Issue: Volume:603 Page:127082
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Amiri Vahab,Nakagawa Kei

Funder

Geological Survey and Mineral Exploration of Iran

Publisher

Elsevier BV

Subject

Water Science and Technology

Reference86 articles.

1. Assessment of self-organizing map artificial neural networks for the classification of sediment quality;Alvarez-Guerra;Environ. Int.,2008

2. Fluoride Occurrence and Human Health Risk from Groundwater Use at the West Coast of Urmia Lake;Amiri;Iran. Arab. J. Geosci.,2020

3. The hydrogeochemical evaluation of groundwater resources and their suitability for agricultural and industrial uses in an arid area of Iran;Amiri;Groundw. Sustain. Dev.,2021

4. Groundwater quality evaluation using Shannon information theory and human health risk assessment in Yazd province, central plateau of Iran;Amiri;Environ. Sci. Pollut. Res.,2021

5. Mercury pollution in the coastal Urmia aquifer in northwestern Iran: potential sources, mobility, and toxicity;Amiri;Environ. Sci. Pollut. Res.,2021

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