Source apportionment of heavy metals in sediments and soils in an interconnected river-soil system based on a composite fingerprint screening approach

2021 ◽  
Vol 411 ◽  
pp. 125125
Author(s):  
Ruihui Chen ◽  
Qianru Zhang ◽  
Haiyang Chen ◽  
Weifeng Yue ◽  
Yanguo Teng
Keyword(s):  
Heavy Metals ◽  
Source Apportionment ◽  
Soil System ◽  
Screening Approach ◽  
Composite Fingerprint

scholarly journals Impact of industrial effluents on ground water and soil quality in the vicinity of industrial area of Panipat city, India

2013 ◽  
Vol 5 (1) ◽  
pp. 132-136 ◽  
Author(s):  
Pawan K. Bharti ◽  
Pawan Kumar ◽  
Vijender Singh
Keyword(s):  
Heavy Metals ◽  
Ground Water ◽  
Soil Quality ◽  
Agricultural Soil ◽  
Heavy Metal Contamination ◽  
Industrial Effluents ◽  
Industrial Area ◽  
Soil System ◽  
Transfer Factors ◽  
Agricultural Plant

The present paper is aimed towards the assessment of heavy metal contamination of agricultural soil due to irrigation with contaminated ground water affected by textile industrial effluents at Panipat city in India. Samples of ground water and irrigated soils from textile industrial area were analyzed for various heavy metals, viz. Mn, Ni, Fe, Cu, Cd, Pb and Zn, using Atomic Absorption Spectrophotometry. Metal transfer factors from ground water to irrigated agricultural soil and from soil to ground water were calculated for heavy metals. The findings deal with the distribution of heavy metals in ground water of industrial area and irrigated agricultural soil. Transfer factors for heavy metals from effluent to ground water were observed to be 0.436, 1.180, 6.461, 2.401, 2.790, 3.178 and 0.634 for Cd, Cu, Fe, Mn, Ni, Pb and Zn respectively. These were found to be very high from ground water to agriculture soil due to the natural shale value of heavy metals in soil system. Thus, untreated industrial effluents can cause an environmental threat to ground water resources and affects soil quality and agricultural plant productivity.

scholarly journals Distribution, fractionation and mobility assessment of heavy metals in a spiked soil using a multi-species soil system

2009 ◽  
Vol 7 (3) ◽  
pp. 629 ◽  
Author(s):  
G. Carbonell ◽  
J.C. Bravo ◽  
P. López-Mancisidor ◽  
J. Pro ◽  
C. Fernández Torija ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Soil System ◽  
Spiked Soil ◽  
Mobility Assessment

Source apportionment of heavy metal pollution in farmland soils on a regional scale using geographically weighted PCA

2021 ◽  
Author(s):  
Liu Shuyi ◽  
Gao Bingbo
Keyword(s):  
Heavy Metals ◽  
Heavy Metal ◽  
Source Apportionment ◽  
Rapid Development ◽  
Regional Scale ◽  
Analytical Framework ◽  
Pollution Sources ◽  
Entire Study ◽  
Soil Heavy Metals ◽  
Farmland Soils

<p>Source apportionment of soil heavy metals is an challenge and urgent work as the result of the rapid development of industrialization and urbanization. The common approach is multivariate statistical analysis, such as PCA and APCS/MLR, which infers only a single pattern of sources of heavy metals in entire study area. Due to complicated pathways and processes, patterns of pollution sources in a whole region may include two or more. Hence, we developed an analytical framework based on GWPCA to explore multiple patterns of sources of soil heavy metals on a regional scale. Xiangtan county, an important grain-producing area in China, was taken as a case study, which suffers the problem of heavy metal pollutions. Our results revealed the pollution situations of five soil heavy metals(Pb, Cd, As, Cr and Hg) in farmland soils and suggested that there exists various pollution patterns of these heavy metals in Xiangtan county. In each pattern, the structure of contamination sources is different. Our study also indicates that the analytical framework considering the spatial heterogeneity of pollution sources can help take more precise practices to solve this vital problem.</p> <p> </p>

Sign in / Sign up

Export Citation Format

Share Document