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Accumulation, ecological-health risks assessment, and source apportionment of heavy metals in paddy soils: A case study in Hanzhong, Shaanxi, China

Author:
Xiao, Ran, Guo, Di, Ali, Amjad, Mi, Shenshen, Liu, Tao, Ren, Chunyan, Li, Ronghua, Zhang, Zengqiang
Source:
Environmental pollution 2019 v.248 pp. 349-357
ISSN:
0269-7491
Subject:
agricultural soils, arsenic, basins, cadmium, case studies, coal, combustion, copper, ecosystems, environmental health, fertilizers, food security, heavy metals, human health, irrigation water, lead, mercury, paddy soils, pollution, rice, risk, risk assessment, soil sampling, transportation, zinc, China
Abstract:
Contamination of agricultural soil by heavy metals has become a global issue concerning food security and human health risk. In this study, a soil investigation was conducted to evaluate metals accumulation, potential ecological and health risks as well as to identify sources of metals in paddy soils in Hanzhong City, which is located in a sedimentary basin. Ninety-two (92) surface soil samples (bulk soil) and their corresponding rice samples, 21 irrigation water samples, and 18 fertilizer samples were collected from two typical counties and quantified for the heavy metals (i.e., As, Cd, Cu, Hg, Pb, and Zn) concentrations. The results showed that As, Cd, and Zn were the main contaminants in soils in the studied area. Additionally, elevated Hg content in soils might also pose risks to the local ecosystem. Cadmium and As demonstrated high mobility, and their average contents in rice grains were slightly higher than the permissible threshold (0.20 mg kg⁻¹). Moreover, Pb, As, and Cd intake via rice consumption might result in potential risks to local residents. Metal distribution revealed that pollution in the studied area is non-homogeneous, and agricultural activities (As, Cu, and Cd), transportation emission (Cu and Pb), coal combustion (Hg and As), and smelting activities (Zn, Pb, and Cu) were ascertained as the potential sources based on the Positive matrix factorization (PMF) analysis results.
Agid:
6346095