Machine-learning models for on-site estimation of background concentrations of arsenic in soils using soil formation factors
Crossref DOI link: https://doi.org/10.1007/s11368-016-1374-9
Published Online: 2016-02-12
Published Print: 2016-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wu, Jin
Teng, Yanguo
Chen, Haiyang
Li, Jiao
Funding for this research was provided by:
National Natural Science Foundation of China (41303069)
Specific Research of the Public Service on Environmental Protection (201509031)
Text and Data Mining valid from 2016-02-12