Source apportionment and ecological and health risk mapping of soil heavy metals based on PMF, SOM, and GIS methods in Hulan River Watershed, Northeastern China

Xu, Yiming; Wang, Xianxia; Cui, Guannan; Liu, Yanfeng; Li, Bin; Yao, Zhiliang

doi:10.1007/s10661-022-09826-8

Cited by 12 publications

(3 citation statements)

References 53 publications

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“…Xu studied the Hulan River Basin and found that Cd has caused serious biological risk in estuarine areas. The hazard of cancer was signi cantly higher in the east than in the west (Xu et al, 2022). In addition, Khan and Yasir Karim found that urban residents of Lahore, Pakistan, were at signi cant lifetime risk of cancer (Khan et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Spatial distribution, sources, and risk assessment of metal ions in sediments from industrial areas in the Kuye River Basin in Shenmu, China

Wang

Liu

Wei

et al. 2022

Preprint

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Metal pollution of river sediments in industrial areas has attracted widespread attention. In this study, 11 metal ions (including Fe, Al, Ag, Mn, Cd, Cr, As, Cu, Pb, Zn, Ni) were determined and analyzed in river sediments of typical industrial areas in the Kuye River Basin, a first-level tributary of the Yellow River. The geological accumulation index, enrichment factor, and pollution load index indicated that the metal ions in this area were enriched and polluted to different degrees. The spatial distribution of the 8 kinds of heavy metals showed that the content in the upstream and downstream was higher, and the middle reaches were lower. the heavy metals mainly came from local industrial activities, coal mining and transportation, and soil weathering, Human activities were the main reasons for the dramatic spatial changes and high levels of heavy metals. The results of the combined potential ecological risk index and sediment quality guidelines showed that the ecological risk downstream of the area was high, and Ni and Pb have caused adverse biological reactions. The human carcinogenic risk assessment result showed that the non-carcinogenic hazard quotient of metal ions in the study area was at an acceptable level, but the carcinogenic risk level of Ni and Cr was higher than 10-4, which was an unacceptable level and must be got enough recognition. The results of this study can provide theoretical support for the pollution control and environmental restoration of rivers in energy-enriched areas.

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Section: Introductionmentioning

confidence: 99%

Spatial distribution, sources, and risk assessment of metal ions in sediments from industrial areas in the Kuye River Basin in Shenmu, China

Wang

Liu

Wei

et al. 2022

Preprint

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“…Those pollutants it is excreted into the environment for disposal and then accumulate over time to concentrations that exceed limits allowed under international laws (Hawal et al, 2021c;Faisal et al, 2015). Heavy metals affect not only food and soil security, but also human health through the food chain (Xu, Y et al, 2022). Parent soil's material governs the heavy metals which are affected by physico-chemical properties of the soil and the administration practices of the crop (Srinivasarao et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

The technique of arsenic elimination from contaminated soil with enhanced conditions by electro-kinetic remediation

Hawal

Al-Sulttani

2023

Preprint

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Remediation of arsenic-contaminated soil by the technique of electro-kinetic using various enhanced conditions is the thrust of this study. Many tests were performed with different operating conditions such as the electrodes solution (tap water) with a variable pH at (2, 5, and 8). Cyclodextrin (10% hydroxypropyl-beta-cyclodextrin or HPCD) has been used as an activating agent that helps enhance this process of soil arsenic clean-up. Agricultural wastes (pomegranate peels) were used after treating them as an adsorbent to impede the return of pollutants to the soil as a result of reverse osmosis. The obtained results after the remediation completion indicated that the best elimination capacity was 72% at a pH of 2. This indicates that the elimination capacity increases with decreasing pH of the electrodes solution. Mixing the HPCD solution with soil as an enhanced solution increased the solubility and desorption of arsenic from the soil. Then, arsenic-containing HPCD micelles readily moved to the cathode electrode by electro osmotic flow, and the elimination capacity increased (84%). It was concluded that pomegranate peels are a good adsorbent for arsenic returning to the soil during the treatment process as a result of reverse osmosis. Hence, the application of this material in this research gave a perfect impression of its use as an inexpensive, environmentally friendly adsorbent and an alternative to commercial absorbents.

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“…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). In fact, quantitative evaluations of the properties, toxicity, and origins of heavy metals in soil are essential for public safety.…”

Section: Introductionmentioning

confidence: 99%

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

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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.

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Source apportionment and ecological and health risk mapping of soil heavy metals based on PMF, SOM, and GIS methods in Hulan River Watershed, Northeastern China

Cited by 12 publications

References 53 publications

Spatial distribution, sources, and risk assessment of metal ions in sediments from industrial areas in the Kuye River Basin in Shenmu, China

Spatial distribution, sources, and risk assessment of metal ions in sediments from industrial areas in the Kuye River Basin in Shenmu, China

The technique of arsenic elimination from contaminated soil with enhanced conditions by electro-kinetic remediation

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

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