Evaluation on Characteristics of Heavy Metal Spatial Pollution in Farmland Soils along the Bijiang River

2013 ◽  
Vol 295-298 ◽  
pp. 1586-1593
Author(s):  
Xiao Qing Zhao ◽  
Hong Hui Yang ◽  
Jian Chen
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Spatial Variation ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Pollution Level ◽  
Zinc Deposit ◽  
Farmland Soils ◽  
Lead Zinc

Based on the farmland soils along the Bijiang River, a main tributary of the international Lantsang-Mekong River flowing through the Jinding Lead-Zinc Deposit, this dissertation makes analyses on the pollution characteristics of spatial variation in farmland soils by adopting the soil sampling and testing analysis and applying single-factor pollution index (SPI) evaluation and Nemerow composite pollution index (NCPI) evaluation. The results indicate that: (1) In accordance with Environmental Quality Standard for Soils (II), the content of Cd contained in the farmland soils has severely exceeded the standard in a large scale, followed by Pb and Zn. However, the content of As is maintained within the specified standard; (2)The SPI values of soils are in the following sequence: Cd＞Zn＞Pb＞As. The pollution level caused by the heavy metal “Cd” to the farmland soils is extremely heavy in a wide range, and a majority of the farmlands are heavily polluted by Zn. The farmlands with moderate pollution by Pb are centered at Plot 2 in the deposit, and only a few farmland soils are moderately polluted by As at Plot 2 in the deposit;(3) Based on the NCPI, the results indicate that the NCPI of the farmland soils has reached to the degree of heavy pollution; (4) It is indicated based on the RPI evaluation that the RPI values of As, Cd, Pb and Zn contained in the farmland soils have exceeded the standard in the following sequence: Pb＞Zn＞Cd＞As, which illustrates that during the development of Jinding Lead-Zinc Deposit in Lanping County, the heavy metals imposing the most profound influence on the soil pollution are Pb and Zn. The heavy metal pollution in the farmland soils from the upper reaches to the lower reaches of the Bijiang River is not only caused by the development of Jinding Lead-Zinc Deposit in Lanping County, but is also associated with its high soil background value;(5) There is a remarkable spatial variation of heavy metal pollution in farmland soils from the upper reaches to the lower reaches of the Bijiang River. Both the SPI and the NCPI values of heavy metals in the soils within the deposit at the upper reaches of the Bijiang River are the lowest; the pollution index of the soils closest to the deposit are the highest, and the pollution index of the soils with a certain distance from the deposit drops swiftly; the pollution index of Plot 4 rises to a certain degree at the middle reaches, and gradually ascends near the Yunlong County seat at Plot 5, however, with a comparatively small growth rates.

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

Heavy Metal Pollution of Farmland Soils Surrounding Large-Scale Pig Farms

2013 ◽  
Vol 781-784 ◽  
pp. 2133-2137
Author(s):  
Qiu Gen Zhang ◽  
Su Qin Wang ◽  
Li An Wei
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Large Scale ◽  
Pollution Index ◽  
Comprehensive Index ◽  
Pig Farms ◽  
Farmland Soils ◽  
Cu And Zn

The seven typical plots were sampled and the contents of As, Cd, Cr, Cu, Ni, Pb and Zn were analyzed in order to investigate the heavy metal pollution of farmland soils surrounding scale pig farms in Nanchang. The heavy metal pollution was evaluated by using single pollution index and comprehensive index methods. The results were addressed that Cd and Pb were the major two pollutants in the farmland soils. The sequence of single pollution index was Cd, Pb, Ni, Cu, Zn, As and Cr. The competitive pollution index was 1.55, and the farmland soils were a slightly polluted grade. The correlation among heavy metals As, Cd, Pb, Cu and Zn were highly significant or significant, but the correlation among Cr, Ni and other heavy metals were not relevant.

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.

scholarly journals Analysis of the Impact of Rural Households’ Behaviors on Heavy Metal Pollution of Arable Soil: Taking Lankao County as an Example

2018 ◽  
Vol 10 (12) ◽  
pp. 4368 ◽  
Author(s):  
Shixin Ren ◽  
Erling Li ◽  
Qingqing Deng ◽  
Haishan He ◽  
Sijie Li
Keyword(s):  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Metal Content ◽  
Rural Households ◽  
Pollution Index ◽  
Arable Soil ◽  
Heavy Metal Content ◽  
Pollution Level ◽  
Single Factor

As heavy metal pollution of arable soil is a significant issue concerning the quality of agricultural products and human health, the rural households’ behaviors have a direct impact on heavy metal content in arable soil and its pollution level, but only a few researches have been done at such microscopic scale. Based on 101 field questionnaires of rural households in Lankao County and the monitoring data on heavy metal of arable soil of each rural household, the kind of rural households’ behaviors which impose obvious influence on heavy metal content of arable soil are investigated via single-factor pollution index, Nemerow pollution index and econometric model in this study. The results show that, rural households’ land utilization mode affects heavy metal content in soil, e.g., the degree of heavy metal pollution of soil for intensive planting is higher than that of traditional planting, viz. vegetable greenhouse > garlic land > traditional crop farmland. The management of cultivated land with due scale is beneficial to reducing heavy metal content in soil, that is, the land fragmentation degree is in direct proportion to heavy metal content in soil, so rural households are encouraged to carry out land circulation and combine the patch into a large one. Excess application of fertilizer, pesticide and organic fertilizer will lead to heavy metal pollution of soil, while agricultural technical training organized by government department and the foundation of agricultural cooperative can promote the technical level and degree of organization of rural households and enable them to be more scientific and rational in agrochemicals selection and application, hence reducing or avoiding heavy metal pollution of soil. Single factor pollution level of heavy metal in the soil for planting various crops is different, so it is recommended to prepare various pollution reduction programs for different land types and pollution levels for the harmony and unity of human-nature system.

scholarly journals An In-Depth Analysis of Water Quality Using GIS and Heavy Metal Pollution Index near a Gold Mining Area, Qorveh, Iran

2021 ◽  
Author(s):  
Mahsa Jahangiri-rad ◽  
Mohsen Shariati ◽  
Mahdieh Yaaghoubi ◽  
Ali Haghmoradkhani ◽  
Abbas Akbarzadeh
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Gold Mining ◽  
Pollution Index ◽  
Mining Activities ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index

Introduction: Inappropriate management of mining activities may bring about water pollution and pose a heavy complication on aquatic ecosystem and humans. The study aimed to evaluate the effect of Qorveh gold mining activities on the quality of nearby groundwater. Materials and Methods: The concentration of seven eco-toxic metals along with some general hydrochemical parameters were investigated for 27 sampling stations in the study area using Atomic Absorption Spectrometry (AAS) and conventional hydrochemical methods. The analysis results were further applied to compute pollution indices, namely heavy metal pollution index (HPI) for irrigation purposes. Results: The main elements were within the World Health Organization (WHO) and Iranian National Water Standards (INWS) for irrigation water quality, except for NH4+ in some sampling points. The concentration of heavy metals followed the order Cu > Zn > Pb > Hg > Cd > As. The contents of Hg, As, Cd, and Cu in most sites were higher than the recommended values. Except for two stations, the value of HPI based on the mean concentration was found to be far beyond the critical pollution index value of 100, suggesting that the area is highly polluted with some heavy metals. Conclusion: Elevated concentration of trace elements found in groundwater of this area represented the release of harmful elements from gold mining activities on surrounding environment.

scholarly journals Determination of heavy metal pollution index of ground water of village Wallipur in Ludhiana district

2017 ◽  
Vol 9 (2) ◽  
pp. 1139-1145
Author(s):  
Singla Chetan ◽  
Sanjay T. Satpute ◽  
Garg Sunil
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Alkali Metals ◽  
Winter Season ◽  
Pollution Index ◽  
Heavy Metal Pollution Index ◽  
Metal Pollution Index ◽  
Post Monsoon

The objective of the study was to reveal the seasonal variations in the groundwater quality with respect to heavy metals contamination near Buddha Nullah in Ludhiana district. To get the extent of trace metals contamination, groundwater samples from tube wells were randomly collected from 16 different points on both sides along the course of Buddha Nullah from areas of Bhamian Kalan, Khasi Kalan and Wallipur Kalan villages of Ludhiana district during first fortnight of June (Pre-monsoon), first fortnight of November (Post-monsoon) and first fortnight of January (Winter season) during the year 2013-14. The concentrations of toxic and heavy metals such as metalloids B, As, Pb; alkaline earth metals Mg, Ca; alkali metals Na, K; transition metals Cr, Mn, Fe, Cu, Zn, Cd and nonmetal S were determined. The heavy metal pollution index (HPI) was calculated. Most of the parameters were found within permissible limit of BIS, 2004. The average values of concentration of Ca, Cr, Mn, As and Pb for pre-monsoon season was higher than average concentration of post-monsoon and winter season. Overall HPI calculated based on the mean concentration of the heavy metals was found to be 18.11, 15.32 and 16.10 for pre-monsoon, post-monsoon and winter season, respectively, which was below the critical pollution index value of 100. The study recommended proper treatment to the sewage water which is being discharged into the Buddha Nullah.

scholarly journals Assessment of the Ecological Risk from Heavy Metals in the Surface Sediment of River Surma, Bangladesh: Coupled Approach of Monte Carlo Simulation and Multi-Component Statistical Analysis

Water ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 180
Author(s):  
Arup Acharjee ◽  
Zia Ahmed ◽  
Pankaj Kumar ◽  
Rafiul Alam ◽  
M. Safiur Rahman ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
River Sediment ◽  
Risk Index ◽  
Pollution Level

River sediment can be used to measure the pollution level in natural water, as it serves as one of the vital environmental indicators. This study aims to assess heavy metal pollution namely Copper (Cu), Iron (Fe), Manganese (Mn), Zinc (Zn), Nickel (Ni), Lead (Pb), and Cadmium (Cd) in Surma River. Further, it compares potential ecological risk index values using Hakanson Risk Index (RI) and Monte Carlo Simulation (MCS) approach to evaluate the environmental risks caused by these heavy metals. in the study area. With obtained results, enrichment of individual heavy metals in the study area was found in the order of Ni > Pb > Cd > Mn > Cu > Zn. Also, variance in MCS index contributed by studied metals was in the order of Cd > Pb > Ni > Zn > Cu. None of the heavy metals, except Ni, showed moderate contamination of the sediment. Risk index values from RI and MCS provide valuable insights in the contamination profile of the river, indicating the studied river is currently under low ecological risk for the studied heavy metals. This study can be utilized to assess the susceptibility of the river sediment to heavy metal pollution near an urban core, and to have a better understanding of the contamination profile of a river.

scholarly journals Application of Pollution Indices for Evaluation of Long-Term Accumulation of Heavy Metals in Lake Modrac in Bosnia and Hercegovina

2017 ◽  
Vol 14 (3-4) ◽  
Author(s):  
Nusreta Djonlagic
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Ecological Risk ◽  
Water Body ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Pollution Indices ◽  
Geo Accumulation

In this study the results of a 15-year long monitoring survey on heavy metals in water at Lake Modrac were assessed using pollution indices of heavy metals, such as Heavy metal pollution index HPI, Heavy metal evaluation index HEI and the Degree of contamination CD. The results of the survey on heavy metal pollution of sediment conducted in 2015 were used as input data for the following pollution indices: Concentration factor , Pollution load index PLI, Enrichment factor EF, Index of geo-accumulation Igeo, Ecological risk factor , Potential ecological risk index to the water-body, RI. The results showed a good correlation and the lake sediment was characterized as polluted. Enrichment factors and indices of geo-accumulation of heavy metals were indicated as very high enriched in the sediment, and have been identified as an anthropogenic source of pollution. Cumulative presence in the sediment is assessed through the pollution index, RI, and has been assessed as moderate ecological risk to the lake water-body. The application of pollution indices presents a valuable tool in assessing the long-term pollution status of Lake Modrac.

scholarly journals Concentrations, Possible Sources and Health Risk of Heavy Metals in Multi-Media Environment of the Songhua River, China

2020 ◽  
Vol 17 (5) ◽  
pp. 1766 ◽  
Author(s):  
Kunyang Li ◽  
Song Cui ◽  
Fuxiang Zhang ◽  
Rupert Hough ◽  
Qiang Fu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Cancer Risk ◽  
Health Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Songhua River ◽  
Multi Media ◽  
The Songhua River

Heavy metal pollution in the river environment has been a source of widespread interest due to potential threats to human health and ecosystem security. Many studies have looked at heavy metal pollution in the context of single source-pathway-receptor relationships, however few have sought to understand pollution from a more wholistic multi-media perspective. To investigate potential risks in a more wholistic way, concentrations of six heavy metals (Cd, Cr, Ni, Cu, Zn and Pb) were detected in multi-media (water, sediment and riparian soil) collected from 14 sampling sites in the main stream of the Songhua River. Chemical analyses indicated that the average concentration of heavy metals in water followed: Zn > Cr > Cu > Pb > Ni > Cd, with a different trend observed in sediments and riparian soil: Zn > Cr > Ni > Pb > Cu > Cd. The potential risk was evaluated using the heavy metal pollution index (HPI), Nemerow pollution index (PN), hazard index (HI) and carcinogenic risk (CR) metrics. Results showed that all HPI values were lower than the critical level of 100 indicating that the levels of these targeted heavy metals were within drinking water safety limits. The PN indicated that both sediment (2.64) and soil (2.95) could be considered “moderately polluted”, with Cd and Zn providing the most significant contributions. A human health risk assessment suggested that the non-carcinogenic risks were within acceptable levels (HI < 1), as was the cancer risk associated with dermal adsorption (CR <10−6). However, the CR associated with ingestion exposure (4.58 × 10−6) exceeded the cancer risk threshold (10−6) indicative of elevated cancer incidence in exposed populations. Health-risk estimates were primarily associated with Cd in the Songhua River. Source apportionment was informed by Pearson correlation analysis coupled with principal component analysis (PCA) which indicated that Cu was mainly derived from natural (geogenic) sources; Cr and Ni were associated with industrial emissions; Pb might be derived from agricultural and transportation sources; Zn might be from industrial, agricultural activities and transportation; while Cd is likely from industrial and agricultural emissions. The source apportionment information could provide the basis for a risk-management strategy focused on reducing Cd and Zn emissions to the riverine environment. Results from this study will provide the scientific knowledge that is needed for measuring and controlling heavy metals sources and pollution characteristics, and identifying the potential cancer risk with different exposure pathways, as well as making effective environmental management policies at catchment or regional scales.

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