Investigation of heavy metal mobility and availability by the BCR sequential extraction procedure: relationship between soil properties and heavy metals availability-Reference-Cited by-同舟云学术

Investigation of heavy metal mobility and availability by the BCR sequential extraction procedure: relationship between soil properties and heavy metals availability

Published:2014-01 Issue:4 Volume:26 Page:219-230
ISSN:0954-2299
Container-title:Chemical Speciation & Bioavailability
language:en
Short-container-title:Chemical Speciation & Bioavailability

Author:

Sungur Ali,Soylak Mustafa,Ozcan Hasan

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Chemical Health and Safety,Toxicology

Link

http://www.tandfonline.com/doi/pdf/10.3184/095422914X14147781158674

Reference9 articles.

1. Adriano, D.C. (2001)Trace elements in terrestrial environments: biogeochemistry, bioavailability, and risks of metals.Springer, New York.

2. Alloway, B.J. (1990)Heavy metals in soils.Blackie Academic and Professional. Glasgow.

3. FAO (2006)Guidelines for soil description,4th edn. FAO, Rome.

4. Grewelling, T. and Peech, M. (1960)Chemical soil test.Cornell University Agr. Exp. Sta. Bull., NY.

5. István, P. and Jones Jr, J.B. (1997)The handbook of trace elements.CRC Press, New York.

Cited by 232 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Different extractable pools of Cd and Pb in agricultural soil under amendments: Water-soluble concentration sensitively indicates metal availability;Journal of Environmental Sciences;2025-04

2. Water-extractable metals as indicators of wheat metal accumulation: Insights from Cd, Pb, Mn, Cu, and Zn;Journal of Hazardous Materials;2024-11

3. Insight into the stabilization mechanism of Zn during co-gasification of sewage sludge and coal: Perspective of solid-liquid transition;Journal of Environmental Chemical Engineering;2024-10

4. Urban Waste Fertilizer: Effects on Yield, Nutrient Dynamics, and PTE accumulation;2024-09-12

5. Bayesian multivariate receptor model and convolutional neural network to identify quantitative sources and spatial distributions of potentially toxic elements in soils: A case study in Qingzhou City, China;Journal of Hazardous Materials;2024-09