A big-data-based Urban flood defense decision support system

被引：0
|
作者：
Yang, Taimeng [1 ,2 ]
Chen, Guanlin [1 ,2 ]
Sun, Xinxin [3 ]
机构：
[1] School of Computer and Computing Science, Zhejiang University City College, Hangzhou, China
[2] College of Computer Science, Zhejiang University, Hangzhou, China
[3] Department of Computer Science and Information, Zhejiang University of Water Conservancy and Electric Power, Hangzhou, China
来源：
International Journal of Smart Home | 2015年 / 9卷 / 12期
关键词：
Application programming interfaces (API) - Big data - Decision making - Network security - Rain - Water levels - Floods - Developing countries - Information management - Flood control - [!text type='Java']Java[!/text] programming language - Neural networks;
D O I：
10.14257/ijsh.2015.9.12.09
中图分类号：
学科分类号：
摘要：
As cities in developing countries are expanding rapidly in recent years, flood has an increasing impact on urban management. In this paper, we present the design and implementation of an urban flood defense decision support system based on big data. The system connects real-time sensor to collect streaming data, and uses a data-driven method that considers temporal and spatial factors to forecast water level in the next 6 hours. Thus, it can provide enough time for the authorities to take pertinent flood protection measures such as evacuation. Our predictive model is a hybrid of linear regression and artificial neural network, and can give early warning of potential flood using the forecast results. The system is implemented on Java EE platform, and integrated with Baidu Maps API to provide a user-friendly interface. © 2015 SERSC.
引用
收藏
页码：81 / 90
相关论文
共 50 条
  • [31] Intelligent Urban Transport Decision Analysis System Based on Mining in Big Data Analytics and Data Warehouse
    Addakiri, Khaoula
    Khallouki, Hajar
    Bahaj, Mohamed
    ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT, AI2SD'2019, VOL 6: ADVANCED INTELLIGENT SYSTEMS FOR NETWORKS AND SYSTEMS, 2020, 92 : 179 - 184
  • [32] Experimental, Theoretical, Numerical and Big-Data-Based Investigations on Characterizations for Geomaterials
    Wang, Shaofeng
    MATERIALS, 2023, 16 (04)
  • [33] Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics
    Wang, Shaofeng
    Cai, Xin
    Zhou, Jian
    Song, Zhengyang
    Li, Xiaofeng
    MATHEMATICS, 2022, 10 (18)
  • [34] A Big-Data based and process-oriented decision support system for traffic management
    Vera-Baquero, Alejandro
    Colomo-Palacios, Ricardo
    EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2018, 5 (17): : 1 - 13
  • [35] Personalized Decision Support System to Enhance Evidence Based Medicine through Big Data Analytics
    Yesha, Yelena
    Janeja, Vandana P.
    Rishe, Naphtali
    Yesha, Yaacov
    2014 IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI), 2014, : 376 - 376
  • [36] Cloud Big Data Decision Support System for Machine Learning on AWS
    Kaplunovich, Alex
    Yesha, Yelena
    2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2017, : 3508 - 3516
  • [37] A novel decision support system for the interpretation of remote sensing big data
    Wadii Boulila
    Imed Riadh Farah
    Amir Hussain
    Earth Science Informatics, 2018, 11 : 31 - 45
  • [38] A novel decision support system for the interpretation of remote sensing big data
    Boulila, Wadii
    Farah, Imed Riadh
    Hussain, Amir
    EARTH SCIENCE INFORMATICS, 2018, 11 (01) : 31 - 45
  • [39] Development of Decision Support System (DSS) for Urban Flood Management: A Review of Methodologies and Results
    Mishra, Ashish
    Arya, Dhyan Singh
    WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2020: WATER, WASTEWATER, AND STORMWATER AND WATER DESALINATION AND REUSE, 2020, : 60 - 72
  • [40] A big-data-based recurrent neural network method for forest energy estimation
    Song, Yang
    Wang, Youzhi
    SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS, 2023, 55
12345