Manzhu Yu

Affiliate Researcher
Titles and Affiliations
Assistant Professor, Geography

Manzhu Yu’s research focuses on spatiotemporal theories and applications, atmospheric modeling, environmental analytics, big data and cloud computing, and the ability of using the above to solve pressing issues in natural hazards and sustainability. She hopes to continue to combat the life and economic costs associated with natural hazards by facilitating more accurate and timely analyses for extreme weather events. She has collaborated actively with researchers in several other disciplines of Geography, Environmental Science, and Computer Science, particularly on the interdisciplinary solutions for natural hazard management and the contributing physical and social factors of these natural hazards.

In the News

Research Keywords

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Projects

Recent Publications

Impact of heat on emergency hospital admissions related to kidney diseases in Texas: Uncovering racial disparities

Guo, C., Ge, E., Yu, M., Li, C., Lao, X., Li, S., Glaser, J., He, Y., Almeida-Silva, M., Meng, S., Su, W. C., Zhang, J., Lin, S. & Zhang, K., Jan 20 2024, In: Science of the Total Environment. 909, 168377.

Research output: Contribution to journalReview articlepeer-review

MCGLN: A multimodal ConvLSTM-GAN framework for lightning nowcasting utilizing multi-source spatiotemporal data

Lu, M., Jin, C., Yu, M., Zhang, Q., Liu, H., Huang, Z. & Dong, T., Jan 2024, In: Atmospheric Research. 297, 107093.

Research output: Contribution to journalArticlepeer-review

Spatiotemporal Prediction of Radar Echoes Based on ConvLSTM and Multisource Data

Lu, M., Li, Y., Yu, M., Zhang, Q., Zhang, Y., Liu, B. & Wang, M., Mar 2023, In: Remote Sensing. 15, 5, 1279.

Research output: Contribution to journalArticlepeer-review

Developing high-resolution PM2.5 exposure models by integrating low-cost sensors, automated machine learning, and big human mobility data

Yu, M., Zhang, S., Zhang, K., Yin, J., Varela, M. & Miao, J., 2023, In: Frontiers in Environmental Science. 11, 1223160.

Research output: Contribution to journalArticlepeer-review

Predicting hourly PM2.5 concentrations in wildfire-prone areas using a SpatioTemporal Transformer model

Yu, M., Masrur, A. & Blaszczak-Boxe, C., Feb 20 2023, In: Science of the Total Environment. 860, 160446.

Research output: Contribution to journalArticlepeer-review

Aerial Image Color Balancing Based on Rank-Deficient Free Network

Zhan, Z., Zheng, L., Wei, M., Yu, M. & Jian, W., 2023, In: IEEE Access. 11, p. 18838-18854 17 p.

Research output: Contribution to journalArticlepeer-review

A quantitative method for the similarity assessment of typhoon tracks

Di, Y., Lu, M., Chen, M., Chen, Z., Ma, Z. & Yu, M., May 2022, In: Natural Hazards. 112, 1, p. 587-602 16 p.

Research output: Contribution to journalArticlepeer-review

A vision transformer for lightning intensity estimation using 3D weather radar

Lu, M., Wang, M., Zhang, Q., Yu, M., He, C., Zhang, Y. & Li, Y., Dec 20 2022, In: Science of the Total Environment. 853, 158496.

Research output: Contribution to journalArticlepeer-review

Monitoring Lightning Location Based on Deep Learning Combined with Multisource Spatial Data

Lu, M., Zhang, Y., Chen, M., Yu, M. & Wang, M., May 1 2022, In: Remote Sensing. 14, 9, 2200.

Research output: Contribution to journalArticlepeer-review

Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method

Luo, W., Liu, Z., Zhou, Y., Zhao, Y., Li, Y. E., Masrur, A. & Yu, M., Aug 1 2022, In: JMIR Public Health and Surveillance. 8, 8, e35840.

Research output: Contribution to journalArticlepeer-review

Interpretable machine learning for analysing heterogeneous drivers of geographic events in space-time

Masrur, A., Yu, M., Mitra, P., Peuquet, D. & Taylor, A., 2022, In: International Journal of Geographical Information Science. 36, 4, p. 692-719 28 p.

Research output: Contribution to journalArticlepeer-review

A high spatiotemporal resolution framework for urban temperature prediction using IoT data

Yang, J., Yu, M., Liu, Q., Li, Y., Duffy, D. Q. & Yang, C., Feb 2022, In: Computers and Geosciences. 159, 104991.

Research output: Contribution to journalArticlepeer-review

Spatiotemporal impacts of COVID-19 on air pollution in California, USA

Liu, Q., Harris, J. T., Chiu, L. S., Sun, D., Houser, P. R., Yu, M., Duffy, D. Q., Little, M. M. & Yang, C., Jan 1 2021, In: Science of the Total Environment. 750, 141592.

Research output: Contribution to journalArticlepeer-review

Lightning Strike Location Identification Based on 3D Weather Radar Data

Lu, M., Zhang, Y., Ma, Z., Yu, M., Chen, M., Zheng, J. & Wang, M., Aug 4 2021, In: Frontiers in Environmental Science. 9, 714067.

Research output: Contribution to journalArticlepeer-review

Pm2.5 concentration forecasting over the central area of the yangtze river delta based on deep learning considering the spatial diffusion process

Lu, M., Lao, T., Yu, M., Zhang, Y., Zheng, J. & Li, Y., Dec 1 2021, In: Remote Sensing. 13, 23, 4834.

Research output: Contribution to journalArticlepeer-review