Open Access
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volume 292 pages 125879

Predict three-dimensional soil manganese transport by HYDRUS-1D and spatial interpolation in Xiangtan manganese mine

Xiyang Shi
Bozhi Ren
Publication typeJournal Article
Publication date2021-04-01
scimago Q1
wos Q1
SJR2.174
CiteScore20.7
Impact factor10.0
ISSN09596526, 18791786
Industrial and Manufacturing Engineering
Renewable Energy, Sustainability and the Environment
General Environmental Science
Strategy and Management
Abstract
• Indirect three-dimensional soil manganese transport simulation. • Non-point source pollution caused by rain in abandoned mining areas can pollute soil and groundwater. • Highest manganese concentration is in the east and the west, and the lowest in the south and north. • Vertical transport is more important than horizontal transport in the regional study. • High concentration areas should be repaired first, and other mining areas should mind rainwater pollution.
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GOST Copy
Shi X., Ren B. Predict three-dimensional soil manganese transport by HYDRUS-1D and spatial interpolation in Xiangtan manganese mine // Journal of Cleaner Production. 2021. Vol. 292. p. 125879.
GOST all authors (up to 50) Copy
Shi X., Ren B. Predict three-dimensional soil manganese transport by HYDRUS-1D and spatial interpolation in Xiangtan manganese mine // Journal of Cleaner Production. 2021. Vol. 292. p. 125879.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.jclepro.2021.125879
UR - https://doi.org/10.1016/j.jclepro.2021.125879
TI - Predict three-dimensional soil manganese transport by HYDRUS-1D and spatial interpolation in Xiangtan manganese mine
T2 - Journal of Cleaner Production
AU - Shi, Xiyang
AU - Ren, Bozhi
PY - 2021
DA - 2021/04/01
PB - Elsevier
SP - 125879
VL - 292
SN - 0959-6526
SN - 1879-1786
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2021_Shi,
author = {Xiyang Shi and Bozhi Ren},
title = {Predict three-dimensional soil manganese transport by HYDRUS-1D and spatial interpolation in Xiangtan manganese mine},
journal = {Journal of Cleaner Production},
year = {2021},
volume = {292},
publisher = {Elsevier},
month = {apr},
url = {https://doi.org/10.1016/j.jclepro.2021.125879},
pages = {125879},
doi = {10.1016/j.jclepro.2021.125879}
}