Uncertainty Data Analysis Systems for Natural Disasters Based on Cloud Platform Architecture

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Published: 2026-05-15
Keywords:
Uncertainty Analysis, Natural Disasters, Cloud Platform, Data Systems, Disaster Management

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Wei Chen
Department of Computer Science, Guangdong University of Science and Technology, Dongguan, China
Heping Zhang
Department of Computer Science, Guangdong University of Science and Technology, Dongguan, China

Abstract

This research article explores the development of uncertainty data analysis systems for natural disasters using cloud platform architecture. The study focuses on designing a robust framework capable of processing and analyzing large-scale disaster-related data with inherent uncertainties. The proposed system integrates cloud computing technologies to ensure scalability, real-time data processing, and high availability. The methodology involves a combination of conceptual modeling, experimental validation, and performance evaluation using synthetic and real-world datasets. Results demonstrate the system's ability to effectively manage uncertainty in disaster scenarios, providing actionable insights for decision-makers. The discussion highlights the system's potential applications, limitations, and future directions for enhancing disaster management strategies.

Article Details

Issue

Vol. 2 No. 1 (2026)

Section

Articles

How to Cite

Uncertainty Data Analysis Systems for Natural Disasters Based on Cloud Platform Architecture. (2026). Hua Xia Xin Zhi, 2(1), 85-97. https://journals.hubblepress.com/index.php/HXXZ/article/view/30

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