A hybrid novel framework for flood disaster risk control in developing countries based on smart prediction systems and prioritized scenarios

H Akbarian, M Gheibi, M Hajiaghaei-Keshteli… - Journal of environmental …, 2022 - Elsevier
Abstract A Decision Support System (DSS) is a highly efficient concept for managing
complex objects in nature or human-made phenomena. The main purpose of the present …

A smart sustainable system for flood damage management with the application of artificial intelligence and multi-criteria decision-making computations

O Zabihi, M Siamaki, M Gheibi, M Akrami… - International Journal of …, 2023 - Elsevier
Abstract Decision Support System (DSS) is an approach for smart management of different
man-made and natural phenomena such as flood disasters. In the present study, different …

Building a knowledge graph for operational hazard management of utility tunnels

FL Peng, YK Qiao, C Yang - Expert Systems with Applications, 2023 - Elsevier
The operational hazard management of the utility tunnel infrastructure is crucial for
sustainable and resilient urban development. It not only involves various domain expertise …

A flood knowledge-constrained large language model interactable with GIS: enhancing public risk perception of floods

J Zhu, P Dang, Y Cao, J Lai, Y Guo… - International Journal of …, 2024 - Taylor & Francis
Public's rational flood mitigation behaviors depend on accurate perception of flood risks. The
use of natural language for flood risk perception is an effective approach, and it is critical to …

Toward establishing a knowledge graph for drought disaster based on ontology design and named entity recognition

Y Fang, D Zhang, G Wu - Journal of Hydroinformatics, 2023 - iwaponline.com
Drought disasters have caused serious impacts on the social economy and ecological
environment, which are continuously and increasingly exacerbated by climate warming and …

[HTML][HTML] Now is the time to strengthen government-academic data infrastructures to jump-start future public health crisis response

JS Lee, ARB Tyler, TC Veinot, E Yakel - JMIR public health and …, 2024 - jmir.org
During public health crises, the significance of rapid data sharing cannot be overstated. In
attempts to accelerate COVID-19 pandemic responses, discussions within society and …

An effective ontology-based query response model for risk assessment in urban flood disaster management

N Karthikeyan, I Gugan, MS Kavitha… - Journal of Intelligent & …, 2023 - content.iospress.com
The drastic advancements in the field of Information Technology make it possible to analyze,
manage and handle large-scale environment data and spatial information acquired from …

Construction of disaster knowledge graphs to enhance disaster resilience

S Kim, YW Kwon - 2022 IEEE International Conference on Big …, 2022 - ieeexplore.ieee.org
As a result of the recent surge in disaster-related data, numerous studies have been
conducted to deal with the massive amount of data. In the meantime, the issue of managing …

Development and application of a field knowledge graph and search engine for pavement engineering

Z Yang, Y Bi, L Wang, D Cao, R Li, Q Li - Scientific Reports, 2022 - nature.com
Integrated, timely data about pavement structures, materials and performance information
are crucial for the continuous improvement and optimization of pavement design by the …

Knowledge Management Model for Urban Flood Emergency Response Based on Multimodal Knowledge Graphs

M Li, C Yuan, K Li, M Gao, Y Zhang, H Lv - Water, 2024 - mdpi.com
Recently, frequent flood disasters in China have seriously threatened economic
development and public safety. This paper addresses the need for a dynamic urban flood …