Amobi’s research intersects the realms of hydrology, human impact on water systems, and innovative geospatial technologies and AI methodologies. Delving into groundwater systems, Amobi’ has spearheaded efforts to understand the implications of climate change on these crucial reservoirs. These studies, coupled with extensive work on rainfall patterns across diverse regions like Central Asia and West Africa, illuminate the ever-evolving dynamics of the hydrological cycle. With a particular focus on rainfall-runoff erosivity, his work underscores the need to appreciate and adapt to spatial and temporal shifts in water availability. Flood phenomena, whether naturally occurring or human-induced, hold a prominent place in his research. From susceptibility modeling to proactive flood management in urban areas, his studies reveal the complexities of mitigating and adapting to flood hazards. The integration of advanced technology further elevates the practical relevance of his work. His adoption of geospatial artificial intelligence (Geo-AI) epitomizes a forward-thinking technological approach. These tools, combined with meticulous studies on the effects of damming on river depths, provide a multifaceted perspective on how water interacts with both natural and built environments. Merging traditional fieldwork with contemporary technologies, he advocates for a multifaceted methodology. This approach presents a comprehensive view of current challenges, paving the way for solutions that are both innovative and grounded in established science. With a commitment to advancing our understanding of the water and its environment, Amobi’ also endeavors to equip communities with vital knowledge, spearheading initiatives that champion a sustainable future for all.

• Amanambu, A. C., Mossa, J., & Chen, Y. H. (2022). Hydrological drought forecasting using a deep transformer model. Water, 14(22), 3611.
• Amanambu, A. C., Obarein, O. A., Mossa, J., Li, L., Ayeni, S. S., Balogun, O., … & Ochege, F. U. (2020). Groundwater system and climate change: Present status and future considerations. Journal of Hydrology, 589, 125163.
• Amanambu, A. C., Li, L., Egbinola, C. N., Obarein, O. A., Mupenzi, C., & Chen, D. (2019). Spatio-temporal variation in rainfall-runoff erosivity due to climate change in the Lower Niger Basin, West Africa. Catena, 172, 324-334.
• Obarein, O. A., & Amanambu, A. C. (2019). Rainfall timing: variation, characteristics, coherence, and interrelationships in Nigeria. Theoretical and Applied Climatology, 137, 2607-2621.
• Mind’je, R., Li, L., Amanambu, A. C., Nahayo, L., Nsengiyumva, J. B., Gasirabo, A., & Mindje, M. (2019). Flood susceptibility modeling and hazard perception in Rwanda. International journal of disaster risk reduction, 38, 101211.
• Mukanov, Y., Chen, Y., Baisholanov, S., Amanambu, A. C., Issanova, G., Abenova, A., … & Abayev, N. (2019). Estimation of annual average soil loss using the Revised Universal Soil Loss Equation (RUSLE) integrated in a Geographical Information System (GIS) of the Esil River basin (ERB), Kazakhstan. Acta Geophysica, 67, 921-938.
• Nsengiyumva, J. B., Luo, G., Amanambu, A. C., Mind’je, R., Habiyaremye, G., Karamage, F., … & Mupenzi, C. (2019). Comparing probabilistic and statistical methods in landslide susceptibility modeling in Rwanda/Centre-Eastern Africa. Science of the total environment, 659, 1457-1472.
• Egbinola, C. N., Olaniran, H. D., & Amanambu, A. C. (2017). Flood management in cities of developing countries: the example of Ibadan, Nigeria. Journal of Flood Risk Management, 10(4), 546-554.