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.
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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 journal › Review article › peer-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 journal › Article › peer-review
Environmental Assessment and Monitoring of Heavy Metals in New York City Potable Water Systems: Case Study at Medgar Evers College, Correlation Analysis, and Public Health Impacts
Blaszczak-Boxe, C. S., Karle, N. N., Wang, S., Yu, M., Golosov, N., Riyad, M., Smith, K., Hollet, T., Abdul-Hamid, B., St. Hillaire, D. & Sen, P., Dec 2023, In: Water (Switzerland). 15, 24, 4233.Research output: Contribution to journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-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 journal › Article › peer-review