Compositional mapping, uncertainty assessment, and source apportionment via pollution assessment-based receptor models in urban and peri-urban agricultural soils-Reference-Cited by-同舟云学术

Compositional mapping, uncertainty assessment, and source apportionment via pollution assessment-based receptor models in urban and peri-urban agricultural soils

Published:2022-12-29 Issue:3 Volume:23 Page:1451-1472
ISSN:1439-0108
Container-title:Journal of Soils and Sediments
language:en
Short-container-title:J Soils Sediments

Author:

Agyeman Prince Chapman^ORCID,Kebonye Ndiye Michael,John Kingsley,Haghnazar Hamed,Borůvka Luboš,Vašát Radim

Funder

Česká Zemědělská Univerzita v Praze

Publisher

Springer Science and Business Media LLC

Subject

Stratigraphy,Earth-Surface Processes

Link

https://link.springer.com/content/pdf/10.1007/s11368-022-03417-3.pdf

Reference103 articles.

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3. Agyeman PC, Ahado SK, Borůvka L, Biney JKM, Sarkodie VYO, Kebonye NM, Kingsley J (2020) Trend analysis of global usage of digital soil mapping models in the prediction of potentially toxic elements in soil/sediments: a bibliometric review. Environ Geochem Health. https://doi.org/10.1007/s10653-020-00742-9

4. Agyeman PC, Ahado SK, Kingsley J, Kebonye NM, Biney JKM, Borůvka L, Kocarek M (2021a) Source apportionment, contamination levels, and spatial prediction of potentially toxic elements in selected soils of the Czech Republic. Environ Geochem 43(1):601–620

5. Agyeman PC, John K, Kebonye NM, Borůvka L, Vašát R, Drábek O (2021b) A geostatistical approach to estimating source apportionment in urban and peri-urban soils using the Czech Republic as an example. Sci Rep 11(1):1–15

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