RADAR-ASSISTED REAL-TIME FLOOD FORECASTING

被引:33
|
作者
JAMES, WP
ROBINSON, CG
BELL, JF
机构
[1] CH2M HILL INC,DALLAS,TX 75240
[2] ARS ENGINEERS INC,DALLAS,TX 75205
关键词
D O I
10.1061/(ASCE)0733-9496(1993)119:1(32)
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
A hydrometerological study of the Yockanookany watershed in Mississippi was conducted to demonstrate the use of National Weather Service (NWS) radar and rain gage data for flood forecasting. Weather radar scenes were recorded at approximately 10 min intervals using a Kavouras Triton X computer for three storms in 1986 by the U.S. Army Corps of Engineers. The NWS recorded precipitation hourly at five gaging stations in or near the watershed. A U.S. Geological Survey (USGS) stream gage was located at the watershed outlet. Calibrated weather radar is shown to be effective for flood forecasting. Both the modified Brandes and Kriging calibration techniques gave good results. The most consistent results were achieved when the rainfall intensity was computed from six radar scenes per hour. Storm routing can be effective in forecasting precipitation several hours in advance, if conducted when the storm intensity is relatively constant. The proposed storm translation method is effective for stratiform-type storms with motion trajectories and intensities almost constant, and should not be used in forecasting severe convective-type storms.
引用
收藏
页码:32 / 44
页数:13
相关论文
共 50 条
  • [31] REAL-TIME FLOOD FORECASTING AND INFORMATION SYSTEM FOR THE STATE OF IOWA
    Krajewski, Witold F.
    Ceynar, Daniel
    Demir, Ibrahim
    Goska, Radoslaw
    Kruger, Anton
    Langel, Carmen
    Mantilla, Ricardo
    Niemeier, James
    Quintero, Felipe
    Seo, Bong-Chul
    Small, Scott J.
    Weber, Larry J.
    Young, Nathan C.
    BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2017, 98 (03) : 539 - 554
  • [32] A STOCHASTIC-DYNAMIC MODEL FOR REAL-TIME FLOOD FORECASTING
    CHOW, KCA
    WATT, WE
    WATTS, DG
    WATER RESOURCES RESEARCH, 1983, 19 (03) : 746 - 752
  • [33] Real-time urban flood forecasting and modelling - a state of the art
    Henonin, Justine
    Russo, Beniamino
    Mark, Ole
    Gourbesville, Philippe
    JOURNAL OF HYDROINFORMATICS, 2013, 15 (03) : 717 - 736
  • [34] Real-time flood forecasting: Operational experience and recent advances
    Todini, E
    FLOOD ISSUES IN CONTEMPORARY WATER MANAGEMENT, 2000, 71 : 261 - 270
  • [35] Recent Advances in Real-Time Pluvial Flash Flood Forecasting
    Zanchetta, Andre D. L.
    Coulibaly, Paulin
    WATER, 2020, 12 (02)
  • [36] A real-time flood forecasting system based on GIS and DEM
    UTE SEGURA 2000, Plaza Fontes 1, Murcia E-30001, Spain
    IAHS-AISH Publication, 2000, (267): : 439 - 445
  • [37] Real-time Flood Forecasting Using Ensemble Kalman Filter
    Srikanthan, R.
    Amirthananthan, G.
    Kuczera, G.
    MODSIM 2007: INTERNATIONAL CONGRESS ON MODELLING AND SIMULATION: LAND, WATER AND ENVIRONMENTAL MANAGEMENT: INTEGRATED SYSTEMS FOR SUSTAINABILITY, 2007, : 1789 - 1795
  • [38] The role of rating curve uncertainty in real-time flood forecasting
    Ocio, David
    Le Vine, Nataliya
    Westerberg, Ida
    Pappenberger, Florian
    Buytaert, Wouter
    WATER RESOURCES RESEARCH, 2017, 53 (05) : 4197 - 4213
  • [39] A multi-agent system for real-time flood forecasting
    Wu, X
    Duan, F
    Xie, HW
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 3483 - 3486
  • [40] Functional networks in real-time flood forecasting - a novel application
    Bruen, M
    Yang, JQ
    ADVANCES IN WATER RESOURCES, 2005, 28 (09) : 899 - 909