WATFLOOD: A MICRO-COMPUTER BASED FLOOD FORECASTING SYSTEM BASED ON REAL-TIME WEATHER RADAR.

被引：0
|
作者：
Kouwen, Nicholas [1 ]
机构：
[1] Univ of Waterloo, Waterloo, Ont, Can, Univ of Waterloo, Waterloo, Ont, Can
来源：
Canadian Water Resources Journal | 1988年 / 13卷 / 01期
关键词：
Thb software for processing the radar data was developed by J; Gorrie; G. Garland and G. Rosseel. The radar data was provided by the Atmospheric Environment Service of Environ-ment Canada with the help of Mr. C. Crozier. The help of these individuals is deeply appreciated; . This work has been partially funded by the National Engineering and Science Research Council of Canada through Grant No. A7gg2. Overhead costs have been provided bv the University of Waterloo. Much of the com-putational work was carried out on equipment provided by Digitat Equipment of Canada throuoh a grant of Equipment to the Universitv -of Waterloo; _ Flow and precipitation data were provided by Environment Canada. The Grand River Conserl vation Authority has given unrestricted access to.their data collection system for future field te-sting of the system. This support is grate- fully acknowledged;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
37
引用
收藏
页码：62 / 77
相关论文
共 50 条
  • [41] A Real-time Digit Gesture Recognition System Based on mmWave Radar
    Yuan, Chun
    Zhong, Youxuan
    Tian, Jiake
    Zou, Yi
    2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, 2022, : 770 - 775
  • [42] A Real-time Communication and Processing System for Radar Testing Based on ZYNQ
    Zhu, Yidi
    Wei, Debao
    Xu, Lei
    Cao, Jigang
    Peng, Xiyuan
    2018 EIGHTH INTERNATIONAL CONFERENCE ON INSTRUMENTATION AND MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2018), 2018, : 241 - 245
  • [43] Real-time distance measurement system based on Doppler ranging radar
    Jia, Li-Shan
    Wang, Li-Wen
    Jiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineering, 2011, 11 (01): : 51 - 57
  • [44] A distributed real-time semiarid flash-flood forecasting model utilizing radar data
    Yatheendradas, Soni
    Wagener, Thorsten
    Gupta, Hoshin
    Unkrich, Carl
    Schaffner, Mike
    Goodrich, David
    REGIONAL HYDROLOGICAL IMPACTS OF CLIMATIC CHANGE - HYDROCLIMATIC VARIABILITY, 2005, 296 : 108 - 117
  • [45] Bayesian Theory Based Self-Adapting Real-Time Correction Model for Flood Forecasting
    Wang, Jun
    Liang, Zhongmin
    Jiang, Xiaolei
    Li, Binquan
    Chen, Li
    WATER, 2016, 8 (03)
  • [46] Assessing the potential for real-time urban flood forecasting based on a worldwide survey on data availability
    Rene, Jeanne-Rose
    Djordjevic, Slobodan
    Butler, David
    Madsen, Henrik
    Mark, Ole
    URBAN WATER JOURNAL, 2014, 11 (07) : 573 - 583
  • [47] Real-time Flood Classification Forecasting Based on k-means++ Clustering and Neural Network
    Hu Caihong
    Zhang Xueli
    Li Changqing
    Liu Chengshuai
    Wang Jinxing
    Jian Shengqi
    Water Resources Management, 2022, 36 : 103 - 117
  • [48] Remote Access Weather Monitoring System Based on Soft Real-Time System (SRTS)
    Handani, Megatari Wahyu Ningrum
    Mutiara, Giva Andriana
    Suchendra, Devie Ryana
    2018 INTERNATIONAL CONFERENCE ON CONTROL, ELECTRONICS, RENEWABLE ENERGY AND COMMUNICATIONS (ICCEREC), 2018, : 36 - 40
  • [49] AN ALL-SEASON FLASH FLOOD FORECASTING SYSTEM FOR REAL-TIME OPERATIONS
    Broxton, Patrick
    Troch, Peter A.
    Schaffner, Mike
    Unkrich, Carl
    Goodrich, David
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2014, 95 (03) : 399 - 407
  • [50] A real-time pluvial flood forecasting system for Castries, St. Lucia
    Rene, J. -R.
    Djordjevic, S.
    Butler, D.
    Mark, O.
    Henonin, J.
    Eisum, N.
    Madsen, H.
    JOURNAL OF FLOOD RISK MANAGEMENT, 2018, 11 : S269 - S283
12345