International Conference on Hydrological Extremes and Drought Prediction Models
(ICHEDPM-27)

This track focuses on the latest methodologies and technologies for predicting drought events. Contributions will explore the integration of remote sensing, machine learning, and traditional hydrological models.

This session aims to investigate the underlying factors contributing to hydrological extremes, such as floods and droughts. Presentations will highlight case studies that illustrate the socio-economic impacts of these events.

This track examines the influence of climate variability on water resource availability and management strategies. Discussions will include adaptive measures and policy implications for sustainable water use.

This session will delve into innovative modeling techniques for simulating extreme hydrological events. Participants are encouraged to share their findings on the effectiveness of various modeling approaches.

This track focuses on methodologies for assessing the risks associated with hydrological hazards. Presentations will cover risk mapping, vulnerability assessments, and the role of community engagement in hazard preparedness.

This session will explore various drought indices and their effectiveness in monitoring and predicting drought conditions. Contributions will discuss the implications of these indices for agricultural planning and water resource management.