Trend analysis of global usage of digital soil mapping models in the prediction of potentially toxic elements in soil/sediments: a bibliometric review-Reference-Cited by-同舟云学术

Trend analysis of global usage of digital soil mapping models in the prediction of potentially toxic elements in soil/sediments: a bibliometric review

Published:2020-10-22 Issue:5 Volume:43 Page:1715-1739
ISSN:0269-4042
Container-title:Environmental Geochemistry and Health
language:en
Short-container-title:Environ Geochem Health

Author:

Agyeman Prince Chapman,Ahado Samuel Kudjo,Borůvka Luboš,Biney James Kobina Mensah,Sarkodie Vincent Yaw Oppong,Kebonye Ndiye M.,Kingsley John

Funder

Česká Zemědělská Univerzita v Praze

Publisher

Springer Science and Business Media LLC

Subject

Geochemistry and Petrology,General Environmental Science,Water Science and Technology,Environmental Chemistry,General Medicine,Environmental Engineering

Link

https://link.springer.com/content/pdf/10.1007/s10653-020-00742-9.pdf

Reference74 articles.

1. Adagunodo, T. A., Sunmonu, L. A., & Emetere, M. E. (2018). Heavy metals’ data in soils for agricultural activities. Data in Brief, 18, 1847–1855.

2. Alloway, B. (2013). Heavy metals in soils: trace metals and metalloids in soils and their bioavailability. Berlin: Springer.

3. Appelhans, T., Mwangomo, E., Hardy, D. R., Hemp, A., & Nauss, T. (2015). Evaluating machine learning approaches for the interpolation of monthly air temperature at Mt. Kilimanjaro Tanzania. Spatial Statistics, 14, 91–113.

4. Armah, F. A., Quansah, R., & Luginaah, I. (2014). A systematic review of heavy metals of anthropogenic origin in environmental media and biota in the context of gold mining in Ghana. International Scholarly Research Notices, 2014, 1–37.

5. Arrouays, D., Grundy, M. G., Hartemink, A. E., Hempel, J. W., Heuvelink, G. B. M., Hong, S. Y., et al. (2014). GlobalSoilMap. Toward a Fine-Resolution Global Grid of Soil Properties. In Advances in Agronomy (Vol. 125, pp. 93–134).

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