IP Library Patent Application 15377974
Patent Application
App. No. 15/377,974

METHOD FOR FORECASTING FLOODS FOR MULTIPLE LEAD TIMES

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Quick Facts
Patent No.
US None
App. No.
15/377,974
Abstract

A method for forecasting flood, the method including: 1) collecting historical flood information, estimating a mean concentration time of a basin, and determining a length of a lead time; 2) establishing hydrological models, inputting hydrological variables including precipitation and evaporation to the hydrological models while neglecting the precipitation within lead times; 3) determining an objective function, which is a sum of squared errors between a forecasted streamflow and an observed streamflow within multiple lead times, and utilizing optimized algorithms to calibrate hydrological model parameters; and 4) selecting criteria to evaluate forecasting performance of the hydrological model including a Nash-Sutcliffe efficiency, a root mean square error, a water balance index, a qualified rate of peak flow, and a qualified rate of a peak time.

Claims (65)

1 . A method for forecasting flood, the method comprising:

1) collecting historical flood information, estimating a mean concentration time of a basin, and determining a length of a lead time;

2) establishing hydrological models, inputting hydrological variables comprising precipitation and evaporation to the hydrological models while neglecting the precipitation within lead times;

3) determining an objective function, utilizing optimized algorithms to calibrate hydrological model parameters, which is a sum of squared errors between a forecasted streamflow and an observed streamflow within multiple lead times as follows:

min

F

=

t

=

1

N

(

(

Q

t

obs

-

Q

t

,

t

-

1

pre

)

2

+

(

Q

t

obs

-

Q

t

,

t

-

2

pre

)

2

+

+

(

Q

t

obs

-

Q

t

,

t

-

k

pre

)

2

)

where Q t obs is the observed streamflow at time t (t=1, 2, . . . , N), Q t,t−k pre is the forecasted streamflow at time t which is based on inputs of forecast-time k hours earlier than the time t, N is a total number of observations; and

4) selecting criteria to evaluate forecasting performance of the hydrological model comprising a Nash-Sutcliffe efficiency, a root mean square error, a water balance index, a qualified rate of peak flow, and a qualified rate of a peak time.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 13, 2016
From: ZHAO, YAN; LIU, PAN; DENG, CHAO
To: WUHAN UNIVERSITY
Reel/Frame 040728/0349 →