Faculty

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Faculty

Zhongkun Hong

Associate Professor

Department：College of Civil Engineering of Fuzhou University

Position：Associate Professor

Phone：

E-mail： hongzk@fzu.edu.cn

Address： College of Civil Engineering, Fuzhou University, 2 Xueyuan Rd., Minhou, Fuzhou, Fujian, China

Education Background
Working Experiences
Honors and Awards
Main Research Areas
Research Projects
Selected Publications
Conference Presentations

Doctor of Engineering, Department of Hydraulic Engineering, Tsinghua University, China (2025)

Bachelor of Engineering, Department of Hydraulic Engineering, Tsinghua University, China (2019)

Associate Professor, College of Civil Engineering, Fuzhou University, China (2025-present)

First Prize, China Surveying and Mapping Science and Technology Award (2023) (8/15)

Ocean color remote sensing and aquatic ecosystem research

Ocean water quality disaster monitoring and forecasting

Integration and application of deep learning and remote sensing big data

Fuzhou University Talent Introduction Fund Project: Spatiotemporal Characteristics of Ocean Chlorophyll-a Concentration under Climate Change (2025.10-2027.9), Principal Investigator, Ongoing

Hong, Z., Han, Z., Li, X., Long, D., Tang, G., & Wang, J. (2021). Generation of an improved precipitation dataset from multisource information over the Tibetan Plateau. Journal of Hydrometeorology, 22(5), 1535-1557.

Hong, Z., Long, D., Li, X., Wang, Y., Zhang, J., Mohamed, H. A., & Mohamed, M. M. A. (2023). A global daily gap-filled chlorophyll-a dataset in open oceans during 2001-2021 from multisource information using convolutional neural networks. Earth System Science Data, 15, 5281-5300.

Hong, Z., Long, D., Shan, K., Zhang, J., Iestyn, W., Liu, M., Michael, M., & Fang, H. (2025). Declining ocean greenness and phytoplankton blooms in low-to-mid latitudes under a warming climate. Science Advances, 11(42), eadx4857.

Hong, Z., Long, D., Han, Z., et al. (2019). Generation of an Improved Precipitation Data Set from Multisource Information over the Tibetan Plateau. AGU Fall Meeting. Oral Presentation.

Hong, Z., Li, X., Long, D., et al. (2022). Reconstruction of global daily Chlorophyll-a products from multisource information using a convolutional neural network. AGU Fall Meeting. Oral Presentation.

Hong, Z., Long, D., et al. (2023). Reconstruction of global daily Chlorophyll-a products from multisource information using convolutional neural networks. SCSAM 2023. Oral Presentation.

Hong, Z., Long, D., et al. (2024). Reconstruction of global daily Chlorophyll-a products from multisource information using convolutional neural networks. EGU General Assembly 2024. Oral Presentation.

Hong, Z. (2025). Method and Spatiotemporal Characteristics of Ocean Chlorophyll-a Concentration Data Reconstruction. The 6^th Strait Urban Environmental Forum. Oral Presentation.