Pollution indices as useful tools for the comprehensive evaluation of the degree of soil contamination–A review
JB Kowalska, R Mazurek, M Gąsiorek… - … geochemistry and health, 2018 - Springer
The paper provides a complex, critical assessment of heavy metal soil pollution using
different indices. Pollution indices are widely considered a useful tool for the comprehensive …
different indices. Pollution indices are widely considered a useful tool for the comprehensive …
Investigation of health and ecological risk attributed to the soil heavy metals in Iran: Systematic review and meta-analysis
The presence of heavy metals (HMs) in the soil can pose risks to human health via ingestion
and dermal absorption. This systematic review and meta-analysis study focused on both of …
and dermal absorption. This systematic review and meta-analysis study focused on both of …
Spatial distribution and source analysis of heavy metals in soils influenced by industrial enterprise distribution: Case study in Jiangsu Province
Y Wang, X Duan, L Wang - Science of the Total Environment, 2020 - Elsevier
Heavy metal pollution is frequent in China and has received increasing attention globally.
This study investigated the influence of Chinese industrialization and urbanization on soil …
This study investigated the influence of Chinese industrialization and urbanization on soil …
Digital mapping of soil properties using multiple machine learning in a semi-arid region, central Iran
Abstract Knowledge about distribution of soil properties over the landscape is required for a
variety of land management applications and resources, modeling, and monitoring …
variety of land management applications and resources, modeling, and monitoring …
Assessment of heavy metal pollution and human health risks assessment in soils around an industrial zone in Neyshabur, Iran
AA Mohammadi, A Zarei, M Esmaeilzadeh… - Biological trace element …, 2020 - Springer
Heavy metal pollution of soils in industrial zones continues to attract attention because of its
potential human health risks. The present research is an attempt to assess the pollution …
potential human health risks. The present research is an attempt to assess the pollution …
Health and ecological risk assessment and simulation of heavy metal-contaminated soil of Tehran landfill
S Karimian, S Shekoohiyan, G Moussavi - RSC advances, 2021 - pubs.rsc.org
The toxic effects of heavy metals in landfill soils have become a significant concern for
human health. The present study aimed to estimate the health and ecological risk …
human health. The present study aimed to estimate the health and ecological risk …
Spatial prediction of soil surface properties in an arid region using synthetic soil image and machine learning
Abstract Evaluation of spatial variability and mapping of soil properties is critical for
sustainable agricultural production in arid lands. The main objectives of the present study …
sustainable agricultural production in arid lands. The main objectives of the present study …
Comparison of soil heavy metal pollution caused by e-waste recycling activities and traditional industrial operations
The traditional industrial operations are well recognized as an important source of heavy
metal pollution, while that caused by the e-waste recycling activities, which have sprouted in …
metal pollution, while that caused by the e-waste recycling activities, which have sprouted in …
Digital soil mapping using remote sensing indices, terrain attributes, and vegetation features in the rangelands of northeastern Iran
E Mahmoudabadi, A Karimi, GH Haghnia… - Environmental monitoring …, 2017 - Springer
Digital soil mapping has been introduced as a viable alternative to the traditional mapping
methods due to being fast and cost-effective. The objective of the present study was to …
methods due to being fast and cost-effective. The objective of the present study was to …
融合半变异函数的空间随机森林插值方法
王铭鑫, 范超, 高秉博, 任周鹏, 李发东 - 中国生态农业学报(中英文), 2022 - ecoagri.ac.cn
土壤环境变量具有较强空间异质性, 为空间插值精度的提升带来了困难, 仅基于空间相关性和
空间异质性的空间插值方法难以获得较高的插值精度. 机器学习方法能够融合多维辅助变量的 …
空间异质性的空间插值方法难以获得较高的插值精度. 机器学习方法能够融合多维辅助变量的 …