Open Access
Open access
volume 58 pages 102195

Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms

Dongmei Yu 1, 2
Zitao Wang 3
Chao Yue 1, 2
Jianping Wang 1
1
 
Key Laboratory of Comprehensive and Highly Efficient Utilization of Salt Lake Resources, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining 810008, China
Publication typeJournal Article
Publication date2025-04-01
scimago Q1
wos Q1
SJR1.323
CiteScore7.4
Impact factor5.0
ISSN22145818
Abstract
Study regionQarhan Salt Lake, the largest salt lake in China, located in the Qaidam Basin.
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Yu D. et al. Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms // Journal of Hydrology: Regional Studies. 2025. Vol. 58. p. 102195.
GOST all authors (up to 50) Copy
Yu D., Wang Z., Yue C., Wang J. Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms // Journal of Hydrology: Regional Studies. 2025. Vol. 58. p. 102195.
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RIS Copy
TY - JOUR
DO - 10.1016/j.ejrh.2025.102195
UR - https://linkinghub.elsevier.com/retrieve/pii/S2214581825000199
TI - Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms
T2 - Journal of Hydrology: Regional Studies
AU - Yu, Dongmei
AU - Wang, Zitao
AU - Yue, Chao
AU - Wang, Jianping
PY - 2025
DA - 2025/04/01
PB - Elsevier
SP - 102195
VL - 58
SN - 2214-5818
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2025_Yu,
author = {Dongmei Yu and Zitao Wang and Chao Yue and Jianping Wang},
title = {Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms},
journal = {Journal of Hydrology: Regional Studies},
year = {2025},
volume = {58},
publisher = {Elsevier},
month = {apr},
url = {https://linkinghub.elsevier.com/retrieve/pii/S2214581825000199},
pages = {102195},
doi = {10.1016/j.ejrh.2025.102195}
}