Joint calibration of a hydrological model and rating curve parameters for simulation of flash flood in urban areas

Lima, Fernando Neves; Fernandes, Wilson; Nascimento, Nilo

doi:10.1590/2318-0331.241920180066

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Scientific/Technical Article • RBRH 24 • 2019 • https://doi.org/10.1590/2318-0331.241920180066 copy

Joint calibration of a hydrological model and rating curve parameters for simulation of flash flood in urban areas

Calibração conjunta de um modelo hidrológico com parâmetros de curva-chave para simulações de inundações bruscas em áreas urbanas

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Calibration process is usually time demanding and as much streamflow information as possible in rainfall-runoff models. Nevertheless, from a practical point of view, the available information is measurement of water level, which is essential to design rating curves. This manuscript proposes a set of joint calibration of hydrological model parameters with a range of rating curves, developed for the main channel of the catchment in a crowded urban area. As an alternative of free calibration, the simulations were carried out based on a list of proficient parameters. Four streamflow gauging stations were analysed and used to subdivide the basin. The hourly lumped rainfall-runoff model GR4H was applied to four critical flash flood events to create a rank of Nash-Sutcliffe efficiency criteria (NSE) applying the best set of parameters. The results indicated that the hydrological model errors were compensated by hydraulics errors and they presented an equifinality in the process.

Keywords:
Rainfall-runoff model; Flash floods; Rating curves; Urban hydrology; Hydrological and environmental modelling

Station	A 11/15/12	B 12/03/12	C 12/12/12	D 01/07/13
24	Red	Yellow	Yellow	No warning
30	Yellow	Yellow	Yellow	No warning
32	Yellow	Yellow	Yellow	No warning
33	Yellow	No warning	No warning	No warning

X1 (mm)	X2 (mm)	X3 (mm)	n	NSE
X1 (mm)	X2 (mm)	X3 (mm)	n	Event A	Event B	Event C	Event D	Average
837	-2.3	151	0.049	0.65	0.71	0.63	0.68	0.67
837	-2.3	151	0.053	0.67	0.67	0.61	0.72	0.67
837	-2.3	151	0.050	0.65	0.70	0.63	0.69	0.67
837	-2.3	151	0.051	0.66	0.69	0.62	0.70	0.67
837	-2.3	151	0.054	0.68	0.66	0.61	0.73	0.67
837	-2.3	151	0.052	0.67	0.68	0.62	0.71	0.67
837	-2.3	151	0.048	0.64	0.71	0.63	0.67	0.66
837	-2.3	151	0.055	0.68	0.65	0.60	0.73	0.66
837	-2.3	151	0.047	0.63	0.72	0.62	0.66	0.66
837	-2.3	151	0.057	0.69	0.62	0.58	0.74	0.66
837	-2.3	151	0.056	0.68	0.64	0.59	0.74	0.66
837	-2.3	151	0.046	0.62	0.72	0.62	0.64	0.65
837	-2.3	151	0.058	0.69	0.60	0.56	0.75	0.65
837	-2.3	151	0.045	0.61	0.72	0.62	0.63	0.64
837	-2.3	151	0.044	0.60	0.72	0.61	0.61	0.64
837	-2.3	151	0.059	0.69	0.59	0.55	0.75	0.64
837	-2.3	151	0.060	0.69	0.58	0.54	0.75	0.64
453	-36.4	332	0.060	0.76	0.76	0.44	0.55	0.63
347	-3.7	136	0.037	0.62	0.73	0.65	0.49	0.62
347	-3.7	136	0.036	0.63	0.74	0.65	0.47	0.62
347	-3.7	136	0.039	0.60	0.69	0.65	0.53	0.62
347	-3.7	136	0.035	0.64	0.75	0.64	0.44	0.62
837	-2.3	151	0.042	0.57	0.72	0.59	0.58	0.62
347	-3.7	136	0.038	0.61	0.71	0.65	0.51	0.62
837	-2.3	151	0.043	0.58	0.72	0.60	0.59	0.62
453	-36.4	332	0.058	0.76	0.75	0.42	0.54	0.62
453	-36.4	332	0.059	0.75	0.76	0.43	0.54	0.62
347	-3.7	136	0.041	0.57	0.65	0.64	0.57	0.61
347	-3.7	136	0.034	0.64	0.76	0.63	0.42	0.61
827	-0.7	200	0.043	0.61	0.60	0.56	0.66	0.61

X1 (mm)	X3 (mm)	n	Rainfall Multiplier	NSE
X1 (mm)	X3 (mm)	n	Rainfall Multiplier	Event A	Event B	Event C	Event D	Average
827	200	0.036	1.20	0.63	0.63	0.58	0.67	0.63
587	342	0.032	1.20	0.60	0.66	0.61	0.64	0.63
587	342	0.031	1.20	0.59	0.68	0.62	0.62	0.63
587	342	0.033	1.20	0.62	0.64	0.59	0.66	0.63
827	200	0.037	1.15	0.62	0.61	0.57	0.66	0.62
827	200	0.034	1.20	0.60	0.65	0.60	0.64	0.62
837	151	0.035	1.20	0.61	0.65	0.59	0.65	0.62
827	200	0.035	1.15	0.59	0.64	0.59	0.64	0.62
837	151	0.037	1.15	0.62	0.62	0.56	0.66	0.62
837	151	0.036	1.15	0.61	0.64	0.58	0.65	0.62
827	200	0.036	1.15	0.61	0.63	0.58	0.65	0.62
837	151	0.034	1.15	0.59	0.66	0.59	0.62	0.62
837	151	0.035	1.15	0.60	0.65	0.59	0.63	0.62
587	342	0.033	1.15	0.60	0.64	0.59	0.64	0.62
837	151	0.037	1.20	0.63	0.62	0.55	0.68	0.62
837	151	0.033	1.20	0.59	0.67	0.60	0.62	0.62
827	200	0.035	1.20	0.62	0.64	0.59	0.65	0.62
827	200	0.038	1.20	0.66	0.58	0.54	0.69	0.62
453	332	0.028	1.20	0.64	0.63	0.60	0.59	0.62
837	151	0.032	1.20	0.58	0.68	0.60	0.60	0.62
587	342	0.030	1.20	0.57	0.69	0.62	0.60	0.62
827	200	0.033	1.20	0.59	0.67	0.61	0.62	0.62
587	342	0.035	1.20	0.66	0.58	0.54	0.68	0.62
827	200	0.037	1.20	0.64	0.61	0.56	0.68	0.62
837	151	0.034	1.20	0.60	0.66	0.60	0.63	0.62
837	151	0.036	1.20	0.62	0.64	0.57	0.67	0.62
587	342	0.034	1.20	0.64	0.62	0.57	0.67	0.62
837	151	0.038	1.10	0.61	0.61	0.55	0.66	0.61
837	151	0.036	1.10	0.59	0.64	0.58	0.63	0.61
837	151	0.033	1.15	0.58	0.67	0.60	0.60	0.61

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[1] E-mails: lima.fernando@unifei.edu.br (FNL), wilson@ehr.ufmg.br (WF), niloon@ehr.ufmg.br (NN)