Reference Hub3
A WebGIS-Based System for Urban Stormwater Risk Analysis Using a Cloud Matter-Element Model

A WebGIS-Based System for Urban Stormwater Risk Analysis Using a Cloud Matter-Element Model

Junfei Chen, Cong Yu
Copyright: © 2020 |Volume: 16 |Issue: 3 |Pages: 20
ISSN: 1548-3657|EISSN: 1548-3665|EISBN13: 9781799805137|DOI: 10.4018/IJIIT.2020070104
Cite Article Cite Article

MLA

Chen, Junfei, and Cong Yu. "A WebGIS-Based System for Urban Stormwater Risk Analysis Using a Cloud Matter-Element Model." IJIIT vol.16, no.3 2020: pp.80-99. http://doi.org/10.4018/IJIIT.2020070104

APA

Chen, J. & Yu, C. (2020). A WebGIS-Based System for Urban Stormwater Risk Analysis Using a Cloud Matter-Element Model. International Journal of Intelligent Information Technologies (IJIIT), 16(3), 80-99. http://doi.org/10.4018/IJIIT.2020070104

Chicago

Chen, Junfei, and Cong Yu. "A WebGIS-Based System for Urban Stormwater Risk Analysis Using a Cloud Matter-Element Model," International Journal of Intelligent Information Technologies (IJIIT) 16, no.3: 80-99. http://doi.org/10.4018/IJIIT.2020070104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The interaction of human activity, climate change, and urbanization gives rise to more frequent urban stormwater disasters, which causes great economic loss in cities. This article presents a prototype of an interactive WebGIS system for urban stormwater risk analysis. The system has a Browse/Server(B/S) structure and uses WebGIS techniques for prototype development. It is based on the theory of disaster system and Cloud matter-element model for risk assessment. The risk results are immediately generated and visualized interactively by rendering risk maps. Finally, two urban stormwater events in Nanjing in 2015 and 2016 were selected to verify the accuracy of the risk assessment. The results show that the intelligence system can effectively assess the risk level and identify the spatial-temporal distribution of urban stormwater risk in Nanjing, China.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.