4.7 Article

The potential ecological risk assessment of soil heavy metals using self-organizing map

Related references

Note: Only part of the references are listed.
Review Environmental Sciences

Soil heavy metal pollution of industrial legacies in China and health risk assessment

Jing-yu Peng et al.

Summary: Rapid urbanization in China has triggered large-scale factory relocation, resulting in severe environmental and health risks caused by contaminated legacies. This study comprehensively assesses the pollution and health risks of industrial legacies in China, providing insights for better risk management.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Environmental Sciences

Stochastic risk assessment of urban soils contaminated by heavy metals in Kazakhstan

Elmira Ramazanova et al.

Summary: The study reveals that Kazakhstan's soil is contaminated by heavy metals, with potential anthropogenic origins for lead and cadmium pollution. Some cities have hazardous levels of heavy metals, posing risks to residents' health. Urgent soil remediation is necessary for protecting citizens from heavy metal contamination.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Engineering, Civil

Identification of the long-term variations of groundwater and their governing factors based on hydrochemical and isotopic data in a river basin

Ziyue Yin et al.

Summary: This study utilized self-organizing maps to analyze the spatiotemporal variations of groundwater hydrochemical characteristics in the Dagu River Basin. The results showed fluctuations in total dissolved solids and nitrate concentrations in the basin due to seasonal changes and environmental pollution interference. The study suggested that natural factors and human activities played vital roles in controlling the regional groundwater evolution.

JOURNAL OF HYDROLOGY (2021)

Article Environmental Sciences

Determination of background values and assessment of pollution and ecological risk of heavy metals in urban agricultural soils of Yaounde, Cameroon

Amina Aboubakar et al.

Summary: The study aims to assess the concentrations and background values of heavy metals in urban agricultural soils in Yaounde, Cameroon. Results show that the soil is contaminated with lead and poses ecological risk, particularly at the Nkolondom site. Recommendations include developing long-term risk assessment strategies for potential migration of heavy metals in urban agricultural soils.

JOURNAL OF SOILS AND SEDIMENTS (2021)

Article Engineering, Civil

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

Vahab Amiri et al.

Summary: This study utilized LDA for groundwater classification in a coastal aquifer and found that seasonal changes do not significantly affect the chemical composition of groundwater. The results showed that the SOM method can provide more accurate clustering of groundwater samples without any overlap between different clusters.

JOURNAL OF HYDROLOGY (2021)

Article Environmental Sciences

Temporal and spatial distributions and sources of heavy metals in atmospheric deposition in western Taihu Lake, China

Yan Li et al.

Summary: Heavy metals in atmospheric dust can pollute soil, water, and sediment, posing a threat to human health. This study focused on the temporal and spatial distribution of heavy metals in atmospheric deposition in western Taihu Lake. Results showed that heavy metal concentrations were higher in winter, lower in summer, and correlated with distance from the city. The health risk assessment values were higher in winter and spring, especially near the city and in suburbs.

ENVIRONMENTAL POLLUTION (2021)

Article Geochemistry & Geophysics

Multiple factors control groundwater chemistry and quality of multi-layer groundwater system in Northwest China coalfield-Using self-organizing maps (SOM)

Shen Qu et al.

Summary: The study used self-organizing map calculations and traditional multivariate statistical methods to investigate the groundwater chemistry and quality in the Yuheng Coalfield. The findings suggest that water-rock interactions play a significant role in controlling the groundwater chemistry and quality.

JOURNAL OF GEOCHEMICAL EXPLORATION (2021)

Article Agriculture, Multidisciplinary

Novel soil environment monitoring system based on RFID sensor and LoRa

Fangming Deng et al.

COMPUTERS AND ELECTRONICS IN AGRICULTURE (2020)

Article Engineering, Environmental

Ecological security and health risk assessment of soil heavy metals on a village-level scale, based on different land use types

Shiqi Tian et al.

ENVIRONMENTAL GEOCHEMISTRY AND HEALTH (2020)

Article Multidisciplinary Sciences

Remediation of heavy metal contaminated soil by asymmetrical alternating current electrochemistry

Jinwei Xu et al.

NATURE COMMUNICATIONS (2019)

Article Computer Science, Artificial Intelligence

Robust adaptive learning approach to self-organizing maps

Alaa Ali Hameed et al.

KNOWLEDGE-BASED SYSTEMS (2019)

Article Environmental Sciences

Contamination characteristics and source apportionment of heavy metals in topsoil from an area in Xi'an city, China

Xiuduan Chen et al.

ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY (2018)

Article Environmental Sciences

Impact of land uses on heavy metal distribution in the Selenga River system in Mongolia

Orgilbold Myangan et al.

ENVIRONMENTAL EARTH SCIENCES (2017)

Article Environmental Sciences

The relationship between historical development and potentially toxic element concentrations in urban soils

Rebekka Mcllwaine et al.

ENVIRONMENTAL POLLUTION (2017)

Article Environmental Sciences

Impact of repeated single-metal and multi-metal pollution events on soil quality

Aritz Burges et al.

CHEMOSPHERE (2015)

Article Engineering, Environmental

An integrated approach to assess heavy metal source apportionment in pen-urban agricultural soils

Ying Huang et al.

JOURNAL OF HAZARDOUS MATERIALS (2015)

Article Engineering, Environmental

The mobility and human oral bioaccessibility of Zn and Pb in urban dusts of Estarreja (N Portugal)

C. Patinha et al.

ENVIRONMENTAL GEOCHEMISTRY AND HEALTH (2015)

Article Computer Science, Artificial Intelligence

A novel self-organizing map (SOM) neural network for discrete groups of data clustering

M. H. Ghaseminezhad et al.

APPLIED SOFT COMPUTING (2011)

Article Environmental Sciences

Assessment of Self-Organizing Map artificial neural networks for the classification of sediment quality

Manuel Alvarez-Guerra et al.

ENVIRONMENT INTERNATIONAL (2008)

Article Computer Science, Artificial Intelligence

Validation indices for graph clustering

S Günter et al.

PATTERN RECOGNITION LETTERS (2003)