Assessment of Heavy Metal Contamination of Soil in Kunming

2015 ◽  
Vol 1092-1093 ◽  
pp. 774-779
Author(s):  
Rui Qi Miao ◽  
Yong Feng Yan ◽  
Yan Bai ◽  
Ao Deng
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Heavy Metal Contamination ◽  
Pollution Index ◽  
Background Concentrations ◽  
Index Method ◽  
Pollution Problem ◽  
Factor Index ◽  
Better Than

With the analyses of eight different heavy metal elements (As, Cd, Cr, Cu, Hg, Ni, Pb, Zn)’ contents and distributions in the topsoil of Kunming City, the results show that the average concentrations of these eight elements in the topsoil of Kunming City were much higher than the background concentrations in soil in China, and the pollution assessments with the Single factor index method and Nemerow Pollution Index method, the result shows that in Kunming City, the Xishan District and Wuhua District exist a certain degree of heavy metal pollution problem of soil, but the soil environment qualities of Panlong District and Guandu District are better than other districts; analyze the causation of heavy metal pollution of soil with the elements data and current situation of Kunming City, the heavy metal pollution sources mainly from industrial pollution and traffic pollution.

Assessment of nitrate and heavy metal contamination of groundwater using the heavy metal pollution index: case study of Linares, Mexico

2020 ◽  
Vol 79 (18) ◽  
Author(s):  
Héctor de León-Gómez ◽  
Miguel A. Martin del Campo-Delgado ◽  
María V. Esteller-Alberich ◽  
Fernando Velasco-Tapia ◽  
Efraín Alva-Niño ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Index Case ◽  
Pollution Index ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index

scholarly journals Evaluation of Heavy Metal Pollution in Shallow Groundwater of Farmland in Huaibei Plain, China

2021 ◽  
Vol 267 ◽  
pp. 02009
Author(s):  
Yong Zhang ◽  
Xuanxia Wang
Keyword(s):  
Heavy Metal ◽  
Health Risk ◽  
Health Risks ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Shallow Groundwater ◽  
Pollution Index ◽  
Pollution Level ◽  
Index Method ◽  
Comprehensive Index

In order to understand the characteristics of heavy metal pollution in shallow groundwater in farmland in Huaibei Plain, 69 samples were collected from typical farmland areas in Xiaoxian County to determine the content of heavy metal elements such as Cr, Zn, Cu, Cd, and Ni. The single-factor pollution index method and Nemerow comprehensive index method are used to evaluate and analyze the pollution degree and the health risk assessment method is used to explore the health risk level. The results show that the concentrations of Cr, Zn, Cu, Cd and Ni were respectively 1.27μg∙L-1~268.78μg∙L-1, 0.45μg∙L-1~ 266.1μg∙L-1, 1.77μg∙L-1~ 29.8μg∙L-1, 0.10μg∙L-1~ 21.54μg∙L-1 and 0.9μg∙L-1~ 252.85μg∙L-1. The Nemerow comprehensive index of each heavy metal element is 0.031~5.507, and the pollution degree is Ni>Cr>Cd>Zn>Cu. The Nemerow comprehensive pollution index of each sampling point is 0.251~9.325, with an average value of 1.934. The overall value is 9.523, and the pollution level is extremely poor. The overall health risk is at a risk-free health level. There are 19 samples which the carcinogenic risk index of the Cr is greater than 10-4, and the number of samples with health risks accounts for 27.5%. Cr is the main source of heavy metal health risks in shallow groundwater in farmland.

Evaluation of Heavy Metal Contamination to Planting Base Soil in Shenyang, China

2013 ◽  
Vol 779-780 ◽  
pp. 1494-1499
Author(s):  
Bin Hui Jiang ◽  
Li Jiang ◽  
Li Li Fu ◽  
Chang Qi Yao ◽  
Yong Gang Huang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Heavy Metal Contamination ◽  
Pollution Index ◽  
Pollution Assessment ◽  
Parent Material ◽  
Pollution Level ◽  
Concentration Data

The distribution and accumulation of heavy metals in the planting base soils in Shenyang, northeast of China, were investigated. Sixty soil samples were collected and characterized for heavy metals contents (AsCdCrPbHgNiCu and Zn). Concentration data were processed using correlation analysis and soils pollution assessment was carried out using geoaccumulation and PI. The results revealed that eight heavy metals contents of planting base all reached pollution level, which Pb and Hg pollution relatively serious, reached 2.41 and 2.1 respectively. The order of heavy metal pollution levels are: Pb> Hg> Zn = Cu> As> Ni> Cd> Cr. A significant correlation exists in Pb-Cd, Pb-Cu, Cd-As, Cu-Ni, while an extremely significant correlation exists between Zn-Cu. In addition to the parent material soil, the sources of soil heavy metals are mainly by the industrial, agricultural, transportation or other human activities and the effect of atmospheric transport and deposition. KEYWORDS: soil, heavy metal pollution, assessment, pollution index

Distribution Characteristic and Assessment of Soil Heavy Metal Pollution around Baotou Tailings in Inner Mongolia, China

2011 ◽  
Vol 356-360 ◽  
pp. 2730-2736 ◽  
Author(s):  
Ren Xin Zhao ◽  
Wei Guo ◽  
Wen Hui Sun ◽  
Shi Lei Xue ◽  
Bo Gao ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Inner Mongolia ◽  
Metal Contamination ◽  
Heavy Metal Contamination ◽  
Pollution Index ◽  
Soil Heavy Metals ◽  
Soil Heavy Metal

The pollution status and total concentration of soil heavy metals were analyzed around Baotou tailing reservoir located in Inner Mongolia grassland and desert transition zone. Aim of the study is to control soil heavy metal pollution of Baotou tailings and provide the basic data information. The results indicated that concentrations of Pb, Zn and Mn from different directions of the tailing reservoir changed significantly with distance and were higher than the background values of Inner Mongolia. According to the single factor pollution index, soils from different directions were contaminated by Pb, Cu, Zn and Mn. The pollution degree was in order: Mn > Pb > Zn > Cu> Cr > Ni > As. According to Nemerow’s synthetical pollution index, soils collected from the southeast of the tailing reservoir had the most serious heavy metal contamination, the index was 11.1. The order of pollution level in different directions was southeast > northeast > southwest > northwest, which was mainly affected by the dominant wind of northwest. In general, the pollution characteristic and the elements of heavy metal contamination were corresponding with the concentrations of iron tailings. The health and stabilization of environmental quality are being threatened by soil heavy metals.

scholarly journals Analysis and Evaluation on Characteristics of Heavy Metal Pollution in the Coastal Farmland Soil along the Wuma River

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Xiongfei Cai ◽  
Die Xu ◽  
Shijie Zhao ◽  
Li Lei ◽  
Ji Wang ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Guizhou Province ◽  
Risk Level ◽  
Index Method ◽  
Farmland Soil

The thesis is aimed to provide a reference for the sustainable utilization of farmland soils along the Wuma River, an upstream tributary of the Chishui River in Guizhou Province. Geo accumulation index method, Nemero comprehensive pollution index method, and potential ecological hazard index method were used based on the experimental data for analyzing and evaluating the heavy metal pollution status of farmland soil along Wuma River. The results showed that: (1) The contents of heavy metals Ni, Cu, Zn, Pb and Hg in farmland soil exceeded the soil background values of 9.82%, 47.80%, 13.72% and 76.06% in Guizhou Province, respectively, but did not exceed the standard limit class II based on the environmental quality. (2). The pollutants of Pb and Zn in the research area mainly come from mineral exploitation, waste residue accumulation, and transportation. The enrichment of Cr and Cu may originate from the domestic garbage dumping and incinerated waste by residents along the coast and irrational agricultural activities. The main contents of Cd, As and Hg come from soil geochemistry. (3) The ranking of accumulations of eight heavy metals was IPb>IHg>ICu>INi>IZn>ICr>IAs>ICd, among which Pb was non-moderately polluted and the remaining heavy metals were at the clean level; Nemero comprehensive pollution index showed that As, Cr, Zn, and Ni were mildly polluted, while Pb, Hg, and Cu were moderately polluted. The ranking of potential ecological risk levels for the eight heavy metals was Hg, Pb, Cu, Ni, As, Cd, Cr, Zn. The overall ecological risk level is mild.

scholarly journals Distribution, source, water quality and health risk assessment of dissolved heavy metals in major rivers in Wuhan, China

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11853
Author(s):  
Xingyong Zhang ◽  
Qixin Wu ◽  
Shilin Gao ◽  
Zhuhong Wang ◽  
Shouyang He
Keyword(s):  
Heavy Metals ◽  
Risk Assessment ◽  
Heavy Metal ◽  
Health Risk ◽  
Health Risk Assessment ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Carcinogenic Risk ◽  
Source Water Quality

Heavy metals are released into the water system through various natural processes and anthropogenic activities, thus indirectly or directly endangering human health. The distribution, source, water quality and health risk assessment of dissolved heavy metals (V, Mn, Fe, Co, Ni, Zn, As, Mo, Sb) in major rivers in Wuhan were analyzed by correlation analysis (CA), principal component analysis (PCA), heavy metal pollution index (HPI), hazard index (HI) and carcinogenic risk (CR). The results showed that the spatial variability of heavy metal contents was pronounced. PCA and CA results indicated that natural sources controlled Mn, Fe, Co, Ni and Mo, and industrial emissions were the dominant factor for V, Zn and Sb, while As was mainly from the mixed input of urban and agricultural activities. According to the heavy metal pollution index (HPI, ranging from 23.74 to 184.0) analysis, it should be noted that As and Sb contribute most of the HPI values. The health risk assessment using HI and CR showed that V and Sb might have a potential non-carcinogenic risk and As might have a potential carcinogenic risk to adults and children in the study area (CR value exceeded target risk 10−4). At the same time, it was worth noting that As might have a potential non-carcinogenic risk for children around QLR (HI value exceeded the threshold value 1). The secular variation of As and Sb should be monitor in high-risk areas. The results of this study can provide important data for improving water resources management efficiency and heavy metal pollution prevention in Wuhan.

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