Risk Assessment of Heavy Metal Pollution in Sediments of the Fenghe River by the Fuzzy Synthetic Evaluation Model and Multivariate Statistical Methods

Yang, Yang; Zhou, Zhengchao; Bai, Yongliang; Cai, Yimin; Chen, Weiping

doi:10.1016/s1002-0160(15)60046-7

Cited by 30 publications

(4 citation statements)

References 15 publications

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“…At present, fuzzy logic techniques have deficiencies, when applied to evaluate groundwater quality (Wang et al, 2019;Bing et al, 2017;Yang et al, 2016). There is also a lack of studies comparing them to traditional methods (Azad et al, 2019;Li et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Application of Improvement Fuzzy Logic Technique in Groundwater Quality Assessment in Naiman Banner

Ma,

DAI,

TIAN

et al. 2023

Preprint

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At present, many fuzzy logic techniques have been developed, however, there is a lack of studies concerning the application of improved techniques to evaluate groundwater quality in comparison to traditional methods. In this study, a set of sample data for nine items (total hardness, total dissolved solids, SO43−, NO3−, total Fe, F−, Pb, pH, and turbidity) was adopted for developing an improved fuzzy logic technique in order to evaluate groundwater quality status. The evaluation results were classified into five grades according to a standard for groundwater quality(GB/T 14848 − 2017), to determine the suitability groundwater use. The results showed that the quality of the groundwater samples was mostly within Grades 1 and 2, making the water suitable for a variety of uses. Traditional analysis found the groundwater quality was mostly within Grade 5. Improved fuzzy logic techniques were shown to be helpful for future research related to groundwater quality evaluation.

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Section: Introductionmentioning

confidence: 99%

Application of Improvement Fuzzy Logic Technique in Groundwater Quality Assessment in Naiman Banner

Ma,

DAI,

TIAN

et al. 2023

Preprint

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“…Sediments can act as a sink for heavy metals and other detrimental substances and therefore play an important role in maintaining the normal aquatic environments (Yang et al 2016). However, sediments may pose a risk of secondary water pollution under sediment disturbance and/or changes in the geo-chemistry of sediments and may cause a decline in water quality.…”

Section: Introductionmentioning

confidence: 99%

Heavy metal and metalloid contamination in the sediments of the Spekboom River, South Africa

2021

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The impact of anthropogenic activities such as mining, agriculture and urbanization is causing heavy metal contamination in many freshwater ecosystems. The concentrations of eight elements (As, Cr, Cu, Fe, Mn, Ni, Pb and Zn) in the Spekboom River, South Africa, were studied using enrichment factor (EF) and geo-accumulation index (Igeo) to assess the extent of pollution in the river. Sediment samples were collected and analyzed using sequential inductively coupled plasma—optical emission spectrometry. The results showed deterioration of the sediment quality with high concentration of Cr and Ni at all the sites, this is a reflection of contamination from the various anthropogenic activities in the area. The current levels of Cr and Ni could be detrimental to the river and may pose a serious threat to the aquatic organisms and humans, as the sediment could act as a secondary source of metal pollution in the water. It is therefore recommended that urgent action should be taken to control effluents from anthropogenic activities to the river in order to prevent further pollution.

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“…However, the mining and post-processing of mineral resources will increase the heavy metals that permeate and accumulate in the soil. These heavy metals are in abundance, in terms of persistence and toxicity, which can inhibit soil functions and increase the soil pollution [1][2][3]. And when accumulated to harmful levels, the heavy metals in soil may pose an environmental risk and threaten human health through contaminating the food chain, water and air [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Estimate of Heavy Metals in Soil Using Combined Geochemistry and Field Spectroscopy in Miyi Mining Area

Ji¹,

Yao²,

Chen³

et al. 2018

Heavy Metals

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Heavy metal-contaminated soil and water is a major environmental issue in the mining areas. However, as the heavy metals migrate frequently, the traditional method of estimating the soil's heavy metal content by field sampling and laboratory chemical analysis followed by interpolation is time-consuming and expensive. This chapter intends to use field hyperspectra to estimate the heavy metals in the soil in Bai-ma, De-sheng and YuanBaoshan mining areas, Miyi County, Sichuan Province. By analyzing the spectra of soil, the spectral features derived from the spectra of the soils can be found to build the models between these features and the contents of Mn and Co in the soil by using the linear regression method. The spectral features of Mn are 2142 and 2296 nm. The spectral features of Co are 1918, 1922 and 2205 nm. With these feature spectra, the best models to estimate the heavy metals in the study area can be built according to the maximal determination coefficients (R 2 ). The determination coefficients (R 2 ) of the models of retrieving Mn and Co in the soil are 0.645 and 0.8, respectively. The model significant indexes of Mn and Co are 2.04507E-05 and 7.73E-06. These results show that it is feasible to predict contaminated heavy metals in the soils during mining activities for soil remediation and ecological restoration by using the rapid and cost-effective field spectroscopy.Keywords: contaminated heavy metals in the soils, spectral measured, spectral analysis Heavy Metals 136

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Risk Assessment of Heavy Metal Pollution in Sediments of the Fenghe River by the Fuzzy Synthetic Evaluation Model and Multivariate Statistical Methods

Cited by 30 publications

References 15 publications

Application of Improvement Fuzzy Logic Technique in Groundwater Quality Assessment in Naiman Banner

Application of Improvement Fuzzy Logic Technique in Groundwater Quality Assessment in Naiman Banner

Heavy metal and metalloid contamination in the sediments of the Spekboom River, South Africa

Estimate of Heavy Metals in Soil Using Combined Geochemistry and Field Spectroscopy in Miyi Mining Area

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