Foyet, M. & Child, B. (2024). COVID-19, Social media, algorithms and the rise of indigenous movements in Southern Africa: Perspectives from activists, audiences and policymakers. Frontiers in Sociology, 9, 1433998. ABSTRACT: The paper employs a mixed-methods approach to investigate the influence of social media on social movements among indigenous communities in Southern Africa. Findings reveal that […]
Du, F., & Mao, L. (2024). Identifying Points of Interest (POIs) as sentinels for infectious disease surveillance: a COVID-19 study. Spatial and Spatio-temporal Epidemiology, 100691, https://doi.org/10.1016/j.sste.2024.10069. ABSTRACT: Traditional surveillance relies on medical facilities, such as clinics and laboratories, as sentinels to monitor disease activities. Few studies have investigated the feasibility of using Point of Interests (POIs) […]
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Quadrado, G., & Serafin, K. (2024). The timing, magnitude, and relative composition of extreme total water levels vary seasonally along the U.S. Atlantic coast. JGR Oceans, https://doi.org/10.1029/2023JC020557. This paper investigates when extreme total water levels (TWLs) occur during the year along the U.S. Atlantic coast and whether individual components, like waves, tides, and storm surge, […]
Kim, D., & Matyas, C. J. (2024). Classification of tropical cyclone rain patterns using convolutional autoencoder. Scientific Reports, 14(1), 791. DOI: https://doi.org/10.1038/s41598-023-50994-5. Heavy rainfall produced by tropical cyclones (TCs) frequently causes wide-spread damage. TCs have different patterns of rain depending on their development stage, geographical location, and surrounding environmental conditions. However, an objective system for […]
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Rezaali, M., Jahangir, M. S., Fouladi-Fard, R., & Keellings, D. (2024). An ensemble deep learning approach to spatiotemporal tropospheric ozone forecasting: A case study of Tehran, Iran. Urban Climate, 55, 101950. DOI: https://doi.org/10.1016/j.uclim.2024.101950. This study proposes a novel framework for spatiotemporal forecasting of Ground-level Ozone Concentration (GOC) using advanced machine learning techniques, including Artificial Neural […]
Saba, J. A., Williams, C. L., Egnoto, M. J., Strader, S. M., Klockow-McClain, K. E., & Ash, K. D. (2024). Factors that influenced preferences regarding use of public and private tornado shelters during the COVID-19 pandemic in 2020. International Journal of Disaster Risk Reduction, 109, 104580. DOI: https://doi.org/10.1016/j.ijdrr.2024.104580. This study examines factors shaping individuals’ preferences […]
Serafin, K. A., Koseff, J. R., Ouyang, D., & Suckale, J. (2024). Moving from total risk to community-based risk trajectories increases transparency and equity in flood risk mitigation planning along urban rivers. Environmental Research Letters, 19(6), DOI: 064039. DOI 10.1088/1748-9326/ad3c58. After several years of drought, 2023 and early 2024 are reminders of the powers of California’s atmospheric […]
Engström, J., Mossa, J., & Praskievicz, S. (2024). Guest Editors’ Introduction to Water and Rivers in the South (Part 2). Southeastern Geographer, 64(2), 160-164, DOI: https://doi.org/10.1353/sgo.2024.a929403. Article first published online: 16 June 2024 in Southeastern Geographer. ABSTRACT: In Part 2 of the special issue on Rivers and Water in the South, the scope expands to include not […]
Merz, L., Kahler, J., Mwale, G., & Child, B. (2024). “Although elephants bring problems, they also bring benefits:” The complexities of human-wildlife coexistence. Stacks Journal, 24001, 1-26. DOI: 10.60102/stacks-24001 Article first published online: 3 July 2024 in Stacks Journal. ABSTRACT: As wildlife populations decline globally, there is a growing need to discover ways that humans […]
He, Z., Hu, Y., Duan, L. L., & Michailidis, G. (2024). Returners and explorers dichotomy in the face of natural hazards. Scientific Reports, 14(1), 13184. Article first published online: 8 June 2024 in Scientific Reports DOI: https://doi.org/10.1038/s41598-024-64087-4 ABSTRACT: Understanding human mobility patterns amid natural hazards is crucial for enhancing urban emergency responses and rescue operations. Existing research […]
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