Evaluation of Potential Ecological Risk Index of Toxic Metals Contamination in the Soils

Saha, Arnab; Sengupta, Bhaskar; Patidar, Sandhya; Martínez-Villegas, Nadia

doi:10.3390/iocag2022-12214

Cited by 11 publications

(13 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This study was designed to ascertain the concentrations of heavy toxic metals (e.g., As, Sr, Mn, and Fe) and light metals (e.g., Ca, Mg, Na, and K) contamination in recreational and agricultural surface soil of Cerrito Blanco area in Matehuala municipality, San Luis Potosi, Mexico and to explore the factors that affect the spatial distribution and source identifications. The previous studies done in this particular region established Cd, Cu, Cr, Zn, or Pb as primary contamination risk factors (19,22,65,66). Therefore, these heavy metals were not repeated for this study.…”

Section: Introductionmentioning

confidence: 91%

“…Despite such constraints, a significant number of samples were collected. As a standard procedure, a typical soil sample of 1 kg of fresh surface soil was collected from each sampling site and wrapped in a sealed double polyethylene bag before delivering to the testing centre (22,67). All soil sampling sites were georeferenced using a GPS tracking device called a Garmin Etrex Personal Navigator.…”

Section: Sampling Of Soil and Chemical Analysismentioning

confidence: 99%

“…Heavy metal extraction from various mining waste materials, and exposure through smelting dust and fumes, including its distribution, were all explored at various mining and ore processing sites in the regions of Baja California, Guerrero, Guanajuato, Hidalgo, and San Luis Potosi (16)(17)(18)(19). In the San Luis Potosi area, soil contaminated by heavy metals from the dissolution of natural metal sources could be distinguished from various sources with metal contamination originating from tailings by chemometric and isotopic approaches (20)(21)(22). Metal contaminants may also rapidly translocate and concentrate in the food chain posing substantial concerns to food security and human wellbeing (23)(24)(25)(26).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Spatial distribution and source identification of metal contaminants in the surface soil of Matehuala, Mexico based on positive matrix factorization model and GIS techniques

et al. 2022

Self Cite

View full text Add to dashboard Cite

The rapid growth of urban development, industrialization, mining, farming, and biological activities has resulted in potentially toxic metal pollution of the soil all over the world. This has caused degradation of soil quality, lower crop production, and risk to human health. For this work, two study sites were selected to evaluate metal concentrations in the agricultural as well as the recreational soil around the Cerrito Blanco in Matehuala, San Luis Potosi, Mexico. The concentrations of eight metals, namely As, Ca, Mg, Na, K, Sr, Mn, and Fe were analysed in order to determine the level of contamination risk as well as their spatial distributions. However, this study is mainly focused on toxic metals, e.g. As, Sr, Mn, and Fe. The contamination indices techniques were used to evaluate the risk assessment of soil. Additionally, the positive matrix factorization (PMF) model as well as the geostatistical analysis was used to identify the contamination sources based on 64 surface soil samples. After implementing PMF to analyze the soils, it was possible to differentiate the variations in factors linked to the contaminants, farming impacts, and the reference soil geochemistry. The soil in the two studied locations included high concentrations of As, Ca, Mg, K, Sr, Mn, and Fe, including variations in their spatial compositions, which were caused by direct mining activities, the movement and deposition of smelting waste, and the extensive use of irrigated contaminated groundwater for irrigation. The four possible factors were identified for soil pollution including industrial, transportation, agricultural, and naturogenic based on the PMF and geostatistical analysis. The spatial distribution of metal concentrations in the soil was also presented using a geographical information system (GIS) interpolation technique. The identification of metal sources and contamination risk mapping presents a significant role in minimizing pollution sources, and it may be performed in regions with high levels of soil contamination risk.

show abstract

Section: Introductionmentioning

confidence: 91%

Section: Sampling Of Soil and Chemical Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatial distribution and source identification of metal contaminants in the surface soil of Matehuala, Mexico based on positive matrix factorization model and GIS techniques

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…A proportion less than 2 mm was obtained by sieving the soil samples after they were air-dried at room temperature. According to a considerably modified version of ISO 11466:1995, surface soil samples were digested [20,21]. Next, 10 ml of aqua regia (HNO3:HCl, 3:1) was then added to a beaker containing 1.0 gm of soil sample.…”

Section: Soil Sampling and Chemical Analysismentioning

confidence: 99%

“…The concentration of As in the soil is about 5 times higher than the permissible limit, which means that the level of As contamination in this soil is very high. The permissible limits of heavy metals in the surface soil were As (22 mg/kg) [17], Cd (0.80 mg/kg) [27], Co (40 mg/kg) [28], Cr (100 mg/kg) [27], Cu (36 mg/kg) [21], Ni (35 mg/kg) [27], and Pb (85 mg/kg) [21]. All the permissible limit values given in this study are taken as per the global standard values of different places published in previous studies.…”

Section: Descriptive Statistics Of Heavy Metals Concentrations In Soilsmentioning

confidence: 99%

Estimating Source Apportionment of Heavy Metals Contamination in Surface Soil Based on a Positive Matrix Factorization (PMF) Model around Cerrito Blanco in San Luis Potosi, Mexico

et al. 2022

View full text Add to dashboard Cite

In recent decades, heavy metal contamination in soils has caused global concern. Quantitative apportionment of heavy metal sources in the surface soil is a complex task. This study indicated a receptor model to evaluate the heavy metal concentrations of various sources for the soil and the related contamination impacts. In this study, the surface soil at the Cerrito Blanco in San Luis Potosi, Mexico was chosen as the case study location to reveal the potential pollution sources of heavy metals. The research suggested the combined use of the positive matrix factorization (PMF) model for the quantitative assessment of contamination sources as well as the spatial distribution techniques for the estimation of the pollution sources. This approach forms the basis for later soil contamination control and treatment. Throughout the study region, a total of thirty-nine samples of surface soil were collected. However, the mean concentration levels of Co, Cr, Cu, Ni, and Pb in the soils were lower than the permissible standards. It was observed that As and Cd were higher than their permissible standard values by around 5.43 and 1.19 times, respectively. The PMF findings demonstrate that the three main diverse sources of heavy metals in this study area's soils were natural, past mining activities and industrialisation, as well as groundwater. The concentrations of heavy metals in surface soils were considerably influenced by natural sources, which were generally the main contributing factor. The spatial distribution of soil contamination for heavy metals was also mapped using the Geographic Information System (GIS) technique.

show abstract

Source Apportionment of Heavy Metal(loid)s in the Surface Soils of Cerrito Blanco, Mexico: A Comparative Study of Three Receptor Models (APCS-MLR, PMF and UNMIX Model)

Saha,

Gupta,

Patidar

et al. 2024

Arsenic Remediation of Food and Water

View full text Add to dashboard Cite

Evaluation of Potential Ecological Risk Index of Toxic Metals Contamination in the Soils

Abstract: This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).

Cited by 11 publications

References 28 publications

Spatial distribution and source identification of metal contaminants in the surface soil of Matehuala, Mexico based on positive matrix factorization model and GIS techniques

Spatial distribution and source identification of metal contaminants in the surface soil of Matehuala, Mexico based on positive matrix factorization model and GIS techniques

Estimating Source Apportionment of Heavy Metals Contamination in Surface Soil Based on a Positive Matrix Factorization (PMF) Model around Cerrito Blanco in San Luis Potosi, Mexico

Source Apportionment of Heavy Metal(loid)s in the Surface Soils of Cerrito Blanco, Mexico: A Comparative Study of Three Receptor Models (APCS-MLR, PMF and UNMIX Model)

Contact Info

Product

Resources

About