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.

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.

scholarly journals SPATIAL DISTRIBUTION, POLLUTION, AND HEALTH RISK ASSESSMENT OF HEAVY METAL IN INDUSTRIAL AREA SOILS OF ULAANBAATAR, MONGOLIA

2021 ◽  
Vol XLIII-B4-2021 ◽  
pp. 123-133
Author(s):  
P. Oyunbat ◽  
O. Batkhishig ◽  
B. Batsaikhan ◽  
F. Lehmkuhl ◽  
M. Knippertz ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Spatial Distribution ◽  
Health Risk ◽  
Soil Pollution ◽  
Ecological Risk ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Pollution Index ◽  
Industrial Area ◽  
Pollution Level

Abstract. The heavy metal pollution of urban soil of industrial area and its impact on human healths becoming one of the environmental problems in Ulaanbaatar city of Mongolia. The purpose of this study was to determine spatial distribution and health risk of heavy metal pollution in soils surrounding area of leather processing factory and wastewater treatment plants (WWTP) of Ulaanbaatar city. Mapping the spatial distribution of contaminants in soils is the basis of pollution evaluation and risk control. Interpolation methods are extensively applied in the mapping processes to estimate the heavy metal (As, Zn, Pb, Cd, Cr, Cu) concentrations of topsoils. The average concentrations of Cr, Ni, Pb, Zn, Cu and As were 1986.9, 110.5, 111.0, 110.5, 53.5, 16.4 mg/kg, respectively. According to result as the soil pollution index with spatial distribution, a high pollution level for Cr while Zn, Cu and Pb have medium pollution levels. The soil pollution index (PI) values of heavy metals of study areas are, following descending orders Cr > Zn > Cu > Pb > As > Ni. The potential ecological risk of Cr, Cu, Pb, As indicated high ecological risk in the study area. The Hazard index values for almost all the metals were higher than 1, it is indicating a carcinogenic risk for children and adults. The risk index values of two metals (Cr, As) were contribute to a higher risk of development of cancer in humans. Heavy metal contamination can occur when soil particles are swept away from the initial pollution areas by the wind. Therefore, it is necessary to take measures to reduce soil pollution and encourage rehabilitation.

scholarly journals Environmental Status of a City Based on Heavy Metal Content of the Tree-Rings of Urban Trees: Case Study at Szeged, Hungary

2019 ◽  
Vol 12 (1-2) ◽  
pp. 13-22
Author(s):  
Tímea Kiss ◽  
István Fekete ◽  
Ibolya Tápai
Keyword(s):  
Heavy Metal ◽  
Tree Rings ◽  
Environmental Conditions ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Metal Content ◽  
Heavy Metal Content ◽  
Urban Trees ◽  
Dust Particles ◽  
The Town

Abstract Urban vegetation, especially urban trees could act as ecological archives, as they reflect various elements of their environment. The main aim of the study is to evaluate the spatial and temporal variations of environmental conditions in the city of Szeged (Hungary) based on long-term monitoring of the heavy metal content of tree-rings (soft wood). In general, the living conditions of the urban trees (and other organisms as well) at Szeged was the worst in 2001/05, when the heavy metal pollution was the greatest, therefore the biomass production of the sampled trees decreased. Fortunately, the environmental conditions became better, only there are some points in the industrial area, where the heavy metal pollution of the environment is gradually increases. The temporal change in lead pollution (considerable decline in 2013/17) could be explained by the obligatory usage of lead-free petrol since 1999 and the diversion of through-traffic from the town (2011). The introduction of unleaded petrol had delayed favourable results, as the dust particles containing lead probably circulated in the air for a while before they were gradually become fixed in the soil or they were washed out from the town during heavy rains. The cadmium pollution also declined after the traffic diversion, as it is connected to the usage of brake-linings. Whilst the lead and cadmium content of the tree-rings decreased during the studied decades, the trees accumulated increasing amount of zinc throughout the studied periods, as this element could be up-taken from the ground-water, as the larger the canopy of a tree the denser and deeper its root system is.

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

Reconstructing the History of Heavy Metal Pollution by Tree-Ring

2012 ◽  
Vol 610-613 ◽  
pp. 1109-1112
Author(s):  
Xiao Guang Zhao ◽  
Zhi Gui Huang ◽  
Yang Yang ◽  
Le Yao
Keyword(s):  
Heavy Metal ◽  
Tree Ring ◽  
Tree Rings ◽  
Metal Pollution ◽  
Heavy Metal Pollution ◽  
Time Distribution ◽  
Metal Content ◽  
Heavy Metal Content ◽  
Gold Mine ◽  
History Of

This article is based on gold-mine. Analyzing the correlation of heavy metal content between tree rings and soil. Through the distribution of heavy metal content in the trees inverse the process of heavy metal pollution in soil. Discussing the time distribution of heavy metal pollution.

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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