RECENT ADVANCES ASSOCIATED WITH FLOOD FORECAST AND WARNING SYSTEMS

被引:12
作者
KRZYSZTOFOWICZ, R [1 ]
机构
[1] UNIV VIRGINIA,FAC ARTS & SCI,DIV STAT,CHARLOTTESVILLE,VA 22903
关键词
D O I
10.1029/95RG00873
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Floods remain one of the most frequent and devastating natural hazards worldwide. In the United States alone, there are 20,000 flood‐prone communities; 3,000 of them receive site‐specific flood forecasts from the National Weather Service (NWS), and 1,000 have local warning systems; the remaining communities receive county‐wide warnings. Between 1965 and 1985, floods accounted for 63% of the federally declared disasters (337 out of 531), took 1,767 lives, and caused $5 billion worth of damage annually, on the average. The Great Flood of 1993, documented by the National Oceanic and Atmospheric Administration [NOAA, 1994], provided a vivid demonstration of Cromwell's rule: one should never assign the exceedance probability of zero to any prior observation. The duration (from March to November), the extent (over nine states) and the magnitude (exceeding previous floods of record at 95 forecast points) made this the most catastrophic flooding in modern U.S. history: 54,000 persons were evacuated, 50,000 homes were damaged, and economic losses of $15–20 billion have been estimated. The event also tested the limits of the Nation's forecast and warning services as flood stages were exceeded at about 500 forecast points. Copyright 1995 by the American Geophysical Union.
引用
收藏
页码:1139 / 1147
页数:9
相关论文
共 58 条
[1]  
AMBURN SA, 1993, 3 NAT HEAV PREC WORK, P321
[2]  
BARRETT CB, 1993, WATER RESOUR BULL, V29, P933
[3]   AN AUTOMATED-METHOD FOR REPRESENTING, TRACKING AND FORECASTING RAIN FIELDS OF SEVERE STORMS BY DOPPLER WEATHER RADARS [J].
CHEN, ZQ ;
KAVVAS, ML .
JOURNAL OF HYDROLOGY, 1992, 132 (1-4) :179-200
[4]  
EIBEN NJ, 1993, 3RD NAT HEAV PREC WO, P19
[5]   A MODEL FOR REAL-TIME QUANTITATIVE RAINFALL FORECASTING USING REMOTE-SENSING .2. CASE-STUDIES [J].
FRENCH, MN ;
ANDRIEU, H ;
KRAJEWSKI, WF .
WATER RESOURCES RESEARCH, 1994, 30 (04) :1085-1097
[6]   A MODEL FOR REAL-TIME QUANTITATIVE RAINFALL FORECASTING USING REMOTE-SENSING .1. FORMULATION [J].
FRENCH, MN ;
KRAJEWSKI, WF .
WATER RESOURCES RESEARCH, 1994, 30 (04) :1075-1083
[7]  
FUNK TW, 1991, WEATHER FORECAST, V6, P548, DOI 10.1175/1520-0434(1991)006<0548:FTUBTF>2.0.CO
[8]  
2
[9]   WORTH OF RADAR DATA IN THE REAL-TIME PREDICTION OF MEAN AREAL RAINFALL BY NONADVECTIVE PHYSICALLY BASED MODELS [J].
GEORGAKAKOS, KP ;
KRAJEWSKI, WF .
WATER RESOURCES RESEARCH, 1991, 27 (02) :185-197
[10]  
GEORGAKAKOS KP, 1986, B AM METEOROL SOC, V67, P1233, DOI 10.1175/1520-0477(1986)067<1233:OTDONR>2.0.CO