Quantitative rainfall analysis and flow simulation for an urban catchment using input from a weather radar

Figures & data

Figure 1. Drainage system in Służewiecki Stream Catchment in Warsaw (source: Barszcz 2018 and re-drawn by author). Calculation cross-sections and precipitation stations: 1 – Rosoła, 2 – Kłobucka, 3 – Okęcie, 4 – Ursynów.

Figure 2. Objects of the catchment sewer system (subcatchments, channels) and rain gauges (existing: Okęcie and Ursynów, virtual – 66 objects) in the SWMM model (source: Barszcz (2018) and re-drawn by author).

Figure 3. SRI product and field indicating the range of data analysis covering the analysed catchment. Source: The Institute of Meteorology and Water Management - National Research Institute

Table 1. Rainfall totals using data from rainfall gauges and weather radar.

Date of the event	Rainfall totals using different data (mm)						Relative error^a [%]		Relative error^b [%]
	Rainfall gauges		Z-R relationship		SRI product
	O^c	U^d	O	U	O	U	O	U	O	U
01 October 2006	14.8	7.0	17.0	7.9	3.3	1.6	14.5	12.9	–77.7	–77.7
06 August 2006	52.6	–	60.8	–	17.6	–	15.6	–	–66.5	–
02 July 2007	8.6	11.0	5.2	12.4	1.9	3.6	–39.2	12.8	–77.8	–67.6
02 August 2008	8.8	6.2	6.9	3.9	2.1	1.5	–22.2	–37.6	–76.6	–76.3
15 August 2008	22.8	43.6	24.7	37.2	6.6	10.1	8.5	–14.6	–71.0	–76.9
25 June 2009	–	41.4	–	49.1	–	10.1	–	18.6	–	–75.6

^a,bCalculated, respectively, in reference to rainfall totals established based on the Z-R relationship (3) and SRI product.

^c,dRainfall gauges: O: Okęcie; U: Ursynów.

Figure 4. Relationship determined on the basis of data for Ursynów precipitation station. Source: Author

Table 2. Flows in calculation cross-sections using data for two rainfall gauges (Scenarios 1 and 2).

Date of the event	Measured flow (m^3·s^-1)		Calculated flow (m^3·s^–1)				Relative error^a [%]		Relative error^b [%]
			Rain gauge rainfall		Z-R relationship
	R^c	K^d	R	K	R	K	R	K	R	K
02 July 2007	5.935	0.733	5.105	0.781	5.224	0.814	–14.0	6.5	–12.0	11.1
15 August 2008	21.166	1.310	21.228	1.493	19.426	1.460	0.3	14.0	–8.2	11.5

^a,bCalculated, respectively, on the basis of rainfall data from rain gauges and determined on the basis of Z-R relationship.

^c,dCalculation cross-sections: R: Rosoła; K: Kłobucka.

Table 3. Flows in calculation cross-sections using data for 66 rainfall gauges (Scenarios 3–4).

Date of the event	Measured flow (m^3·s^-1)		Calculated flow (m^3·s^–1)				Relative error^a [%]		Relative error^b [%]
			SRI product		Z-R relationship
	R^c	K^d	R	K	R	K	R	K	R	K
02 July 2007	5.935	0.733	1.002	0.168	5.950	0.783	–83.1	–77.1	0.3	6.8
15 August 2008	21.166	1.310	3.710	0.779	26.435	1.649	–82.5	–40.5	24.9	25.9

^a,bCalculated, respectively, on the basis of rainfall data from the SRI product and determined on the basis of Z-R relationships.

^c,dCalculation cross-sections: R: Rosoła; K: Kłobucka.

Figure 5. Profiles of maximum water level in one of the main collectors obtained for various scenarios in response to the rainfall event occurring on 15 August 2008: (a) Scenario 1; (b) Scenario 2; (c) Scenario 3; (d) Scenario 4. Source: Author

Barszcz M. 2018. Application of radar data for the analysis of the rainfall-runoff process in an urban catchment. Acta Sci Pol Form Cir. 17(2):33–46.

 Google Scholar