An Intelligent Flood Control Decision Support System For Digital Urban Management

Guanlin Chen; Xinxin Sun; Shengquan Li; Jiang He; Jiawei Zhang

doi:10.21307/ijssis-2017-650

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An Intelligent Flood Control Decision Support System For Digital Urban Management

International Journal on Smart Sensing and Intelligent Systems

Volume 7 (2014): Issue 1 (January 2014)

By: Guanlin Chen, Xinxin Sun, Shengquan Li, Jiang He and Jiawei Zhang

Open Access

|Mar 2014

Abstract

Digital Urban Management has become a trend in the development of contemporary cities. This paper presents the design and implementation of an intelligent flood control decision support system (IFCDSS) using statistical analysis to determine the relationship between the data, and integrate data mining technology for digital urban management based on Java EE. The system also provides location-based decision making in urban management by using the Baidu Maps API.

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Articles in this issue

DOI: https://doi.org/10.21307/ijssis-2017-650 | Journal eISSN: 1178-5608

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Language: English

Page range: 161 - 177

Submitted on: Nov 12, 2013

Accepted on: Feb 3, 2014

Published on: Mar 1, 2014

Published by: Macquarie University, Australia

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

digital urban management,

flood control,

decision support system,

Java EE

Related subjects:

Engineering,

Introductions and overviews,

Engineering, other

© 2014 Guanlin Chen, Xinxin Sun, Shengquan Li, Jiang He, Jiawei Zhang, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 7 (2014): Issue 1 (January 2014)