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Application of ecogeochemical prediction model to safely exploit seleniferous soil
- Source :
- Ecotoxicology and Environmental Safety. 177:133-139
- Publication Year :
- 2019
- Publisher :
- Elsevier BV, 2019.
-
Abstract
- Seleniferous soil and crops have recently attracted attention worldwide. Cultivating seleniferous crops in the absence of heavy metals is greatly challenging. This study aimed to develop approaches for the safe exploitation of seleniferous soil. We collected 246 pairs of rice grain samples and their corresponding rhizosphere soil samples and 8542 topsoil samples from Binyang and Xingbin in Guangxi. The Cd, Cu, Hg, Pb, Zn, and Se contents of soil and rice grain samples were tested. Several soil properties, including CaO, Mn, Mo, and S contents; total organic carbon content; and pH were also measured. Soil and rice grain samples that were classified as seleniferous accounted for 85.77% and 88% of all samples, respectively. More than 30% of soil and rice grain samples were potentially polluted by Cd. The percentage of seleniferous rice grain samples increased as soil Se concentration increased. Notably, however, the percentage of Cd-polluted rice grain samples decreased with the increase in soil Cd concentration. Models for the prediction of BAFs of heavy metal and Se were accurately established on the basis of significant partial correlations between log10 (BAFs) and log10 (soil properties). Farmlands with seleniferous soil under preferential protection and with safely exploited seleniferous soil accounted for 82.61% of the total study area. Sites that require remediation or land-use changes accounted for only 14.7% of the total study area and were mainly distributed in the center of the study area.
- Subjects :
- Crops, Agricultural
China
Soil test
Environmental remediation
Health, Toxicology and Mutagenesis
0211 other engineering and technologies
02 engineering and technology
010501 environmental sciences
01 natural sciences
Selenium
Soil
Metals, Heavy
Soil Pollutants
Soil properties
0105 earth and related environmental sciences
Total organic carbon
021110 strategic, defence & security studies
Rhizosphere
Topsoil
Public Health, Environmental and Occupational Health
Oryza
Rice grain
Heavy metals
General Medicine
Models, Theoretical
Pollution
Agronomy
Environmental science
Environmental Pollution
Subjects
Details
- ISSN :
- 01476513
- Volume :
- 177
- Database :
- OpenAIRE
- Journal :
- Ecotoxicology and Environmental Safety
- Accession number :
- edsair.doi.dedup.....af4f4dedd8826ddee847a896f7b24524