Mingzhong Zhou

Prof. Mingzhong Zhou

orcid

Research Focus & Metrics

Academic Career Length

12Years (2015-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2018 in Science Bulletin
Verified
Journal Article
Closed access
MZMingzhong Zhou
Mingzhong Zhou
TLTaiyi Luo
Taiyi Luo
WHWarren D. Huff
Warren D. Huff
ZYZhiqing Yang
Zhiqing Yang
GZGuanghong Zhou
Guanghong Zhou
DZDi Zhang
Di Zhang

30 March 2020 in Science China Earth Sciences
Verified
Journal Article
Closed access
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WWWei Wang
Wei Wang
MZMingzhong Zhou
Mingzhong Zhou
ZCZhuyin Chu
Zhuyin Chu
JXJunjie Xu
Junjie Xu
CLChaofeng Li
Chaofeng Li
JGJinghui Guo
Jinghui Guo

7 June 2015 in Chinese Journal of Geochemistry
Verified
Journal Article
Closed access
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LXLecai Xing
Lecai Xing
MZMingzhong Zhou
Mingzhong Zhou
LQLiang Qi
Liang Qi
ZHZhilong Huang
Zhilong Huang

26 October 2024 in Geophysical Research Letters
Verified
Journal Article
Open access
WFWei‐Guo Fan
Wei‐Guo Fan
XLXue‐Yan Liu
Xue‐Yan Liu
MZMingzhong Zhou
Mingzhong Zhou
WSWei Song
Wei Song
YHYongyun Hu
Yongyun Hu
CLCong‐Qiang Liu
Cong‐Qiang Liu
Climate changes are known to have been a key regulator of the biodiversity in Earth's history. However, the dry‐humid degrees and alternating patterns throughout the Phanerozoic remain largely unconstrained. In this study, we report high contents (2.4 ± 3.8 mg N kg−1) and 17O anomalies (11.0 ± 7.4‰) of nitrate (NO3−) in the early Cambrian black shale from South China, likely caused by atmospheric NO3− intrusion under dry climates that followed tectonic uplift. By developing new methods to quantify aridity indices (AI, 0.06 ± 0.08) in combination with observational data with paleoclimate models, we reconstructed the historical AI variations. Our analyses revealed three significant dry‐to‐humid transitions which include Cambrian‐Ordovician to Silurian‐Permian, Permian‐Triassic boundary to middle Triassic‐early Jurassic, and Jurassic‐Paleogene to Neogene. This study quantitatively unlocked the Phanerozoic climate changes in South China, offering important evidence for understanding the co‐evolution of ecological and climatic systems in Earth's history.

7 January 2026 in Minerals
Verified
Journal Article
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JZJianlong Zhou
Jianlong Zhou
俭陈俭友 陈
俭友 陈
YHYupei Hao
Yupei Hao
ZCZhengshan Chen
Zhengshan Chen
MZMingzhong Zhou
Mingzhong Zhou
YAYu Ao
Yu Ao
Shiqian County, located within a key geothermal fluids belt in Guizhou Province, China, has abundant underground hot water resources. Therefore, elucidating the hydrogeochemical characteristics and formation mechanisms of thermal mineral water in this area is essential for evaluating and sustainably utilizing regional geothermal fluids. This study focuses on the Shiqian Hot Spring Group and employs integrated analytical techniques, including rock geochemistry, hydrogeochemistry, isotope hydrology, digital elevation model (DEM) data analysis, remote sensing interpretation, geological surveys, mineral saturation index calculations, and PHREEQC-based inverse hydrogeochemical modeling, to elucidate its hydrogeochemical characteristics and formation mechanisms. The results show that strontium concentrations range from 0.06 to 7.17 mg/L (average 1.65 mg/L) and metasilicic acid concentrations range from 19.46 to 65.51 mg/L (average 33.64 mg/L). Most samples meet the national standards for natural mineral water and are classified as Sr-metasilicic acid type. Isotope analysis indicates that the geothermal water is recharged by meteoric precipitation at elevations between 911 m and 1833 m, mainly from carbonate outcrops and fracture zones on the southwestern slope of Fanjingshan, and discharges south of Shiqian County. The dominant hydrochemical types are HCO3·SO4-Ca·Mg and HCO3-Ca·Mg. Strontium is primarily derived from carbonate rocks and celestite-bearing evaporites, whereas metasilicic acid mainly originates from quartz dissolution along the upstream groundwater flow path. PHREEQC-based inverse modeling indicates that, during localized thermal mineral water runoff in the middle-lower reaches or discharge areas, calcite dissolves while dolomite and quartz tend to precipitate, reflecting calcite dissolution-dominated water–rock interactions and near-saturation conditions for some minerals at late runoff stages.

14 June 2025 in Global Biogeochemical Cycles
Verified
Journal Article
Closed access
WFWei‐Guo Fan
Wei‐Guo Fan
MZMingzhong Zhou
Mingzhong Zhou
WSWei Song
Wei Song
XLXue‐Yan Liu
Xue‐Yan Liu