Gui-Zhong Wang
Xiamen University
10 Papers
2 Citations
Gui-Zhong Wang is an academic researcher from Xiamen University. The author has contributed to research in topics: Environmental science & Geology. The author has co-authored 1 publications.
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Papers
Carbon Fluxes in the Coastal Ocean: Synthesis, Boundary Processes and Future Trends
Minhan Dai,Jianzhong Su,Yangyang Zhao,Eileen E. Hofmann,Zhimian Cao,Wei-Jun Cai,Jianping Gan,Fabrice Lacroix,Goulven Gildas Laruelle,Feifei Meng,Jens Müller,Pierre Regnier,Gui-Zhong Wang,Zhixuan Wang +13 more
TL;DR: In this article , a review examines the current understanding of the global coastal ocean carbon cycle and provides a new quantitative synthesis of air-sea CO2 exchange, which yields an estimate for the globally integrated coastal ocean CO2 flux of −0.25 ± 0.05 Pg C year−1, with polar and subpolar regions accounting for most of the CO2 removal.
Persistent eutrophication and hypoxia in the coastal ocean
Minhan Dai,Yangyang Zhao,Fei Chai,Mingru Chen,Nengwang Chen,Yimin Chen,Danyang Cheng,Jianping Gan,Dabo Guan,Yuanyuan Hong,Jialu Huang,Ya Fu Lee,Kenneth M.Y. Leung,Phaik Eem Lim,Xin Lin,Xin Liu,Zhiqiang Liu,Yaohua Luo,Feifei Meng,C. Sangmanee,Yuan Shen,Khanittha Uthaipan,Wan Izatul Asma Wan Talaat,Xianhui Wan,Cong Wang,Dazhi Wang,Gui-Zhong Wang,Shanlin Wang,Yanmin Wang,Yuntao Wang,Zhe Wang,Zhixuan Wang,Yanping Xu,Jin-Yu Terence Yang,Yan Yang,Moriaki Yasuhara,Dan Yu,Liuqian Yu,Zengkai Zhang,Zhou Zhang +39 more
TL;DR: In this paper , the up-to-date status and mechanisms of eutrophication and hypoxia in global coastal oceans are reviewed, upon which they examine the trajectories of changes over the 40 years or longer in six model coastal systems with varying socio-economic development statuses and different levels and histories.
Global subterranean estuaries modify groundwater nutrient loading to the ocean
Amy Moody,Tristan McKenzie,M. B. Cardenas,Elco Luijendijk,A. Sawyer,Holly A. Michael,Bochao Xu,Karen L. Knee,Hyung-Mi Cho,Yishai Weinstein,A. Paytan,N. Moosdorf,Chen-Tung Arthur Chen,Melanie Beck,Dorina Murgulet,Gue-Young Kim,M. A. Charette,Hannelore Waska,J. Severino P. Ibánhez,Gwénaëlle Chaillou,Till Oehler,Shin-ichi Onodera,Valentí Rodellas,Natasha Dimova,Daniel Montiel,Henrietta Dulai,C. Richardson,Jinzhou Du,Eric Petermann,Xiaogang Chen,Kay L. Davis,S. Lamontagne,Ryo Sugimoto,Gui-Zhong Wang,Hailong Li,A. Torres,Cansu Erboy Demir,E. Bristol,C. Connolly,James W. McClelland,Brenno J. Silva,Douglas R. Tait,B. Kumar,R. Viswanadham,Vvss Sarma,Emmanoel V. Silva-Filho,Alan Shiller,Alanna L Lecher,Joseph Tamborski,Henry Bokuniewicz,Carlos Rocha,Anja Reckhardt,M. E. Böttcher,Shan Jiang,Thomas Stieglitz,Houégnon Géraud Vinel Gbewezoun,Céline Charbonnier,Pierre Anschutz,Laura Hernández-Terrones,Suresh Babu,Beata Szymczycha,Mahmood Sadat-Noori,F. Niencheski,K. Null,Craig Tobias,Iris C. Anderson +65 more
TL;DR: Subterranean estuaries modify groundwater nutrient loading to the ocean, altering nutrient fluxes and influencing coastal ecosystems.
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Spatial reconstruction of long-term (2003–2020) sea surface pCO2 in the South China Sea using a machine-learning-based regression method aided by empirical orthogonal function analysis
TL;DR: Wang et al. as discussed by the authors used a machine-learning-based method facilitated by empirical orthogonal function (EOF) analysis to reconstruct the sea surface pCO2 in the South China Sea (SCS).
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Reconstruction of High-Resolution Sea Surface Salinity over 2003-2020 in the South China Sea Using the Machine Learning Algorithm LightGBM Model
TL;DR: In this paper , the authors reconstructed sea surface salinity (SSS) with reasonably high spatial resolution over 2003-2020 in the South China Sea (SCS) using a machine learning algorithm based on a combination of MODIS-Aqua remote sensing data and a large cruise observation-based dataset, and they were able to successfully characterize the spreading of the Pearl River and Mekong River plumes and the intrusion of the Kuroshio Current from the Pacific Ocean into the SCS.