Leveraging geo-computational innovations for sustainable disaster management to enhance flood resilience

Discover Geoscience, Journal Year: 2024, Volume and Issue: 2(1)

Published: July 16, 2024

Abstract The increasing frequency of flood disasters around the globe highlights need for creative approaches to improve disaster preparedness. This thorough analysis and assessment explore topic enhancing resilience by utilising cutting-edge geo-computational techniques. By combining a variety techniques, such as remote sensing, geographic information systems (GIS), LiDAR, unmanned aerial vehicles (UAVs), technologies like machine learning geospatial big data analytics, study provides complex framework monitoring, risk assessment, mitigation. using sensing technology, occurrences can be tracked in real time inundations may precisely mapped, which makes proactive response plans possible. GIS facilitates effective evacuation planning streamlining spatial decision-making procedures providing critical insights into risky locations. High-resolution elevation is provided LiDAR essential precise modelling simulation. Unmanned Aerial Vehicles (UAVs) quickly deployed assist with situational awareness damage during disaster. Furthermore, predictive skills are enhanced combination opening door creation adaptive reaction early warning systems. investigation how tools significantly community lessen negative effects disasters. After review literature case studies, this clarifies these might preparation great extent.

Language: Английский

Environmental flow assessment in transboundary rivers: Challenges and opportunities using big data - A Greek case study

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 585, P. 03005 - 03005

Published: Jan. 1, 2024

Environmental or ecological flow refers to the minimum needed sustain river- based ecosystems and their services. Evaluating environmental flows is of paramount importance, particularly in light rapid changes induced by climate change, anthropogenic pressures, continued damming river courses. The research aims evaluate four transboundary rivers Greece, namely Axios, Strymonas, Nestos Evros Rivers, using Tennant Tessman hydrological methods, assess compatibility with Greek national legislation. rivers’ runoff determined large-scale models applied at European scale, which simulate thousands basins simultaneously, generating extensive big data datasets. results demonstrate that legislation underestimates compared those derived from both methods. Furthermore, values method for winter months generally exhibit lower magnitudes obtained method, whereas during summer months, there appears be a convergence methodologies. proposed methodology can any within Union serve as significant roadmap further advancements assessment flow.

Language: Английский