scholarly journals The derivation of areal reduction factor of storm rainfall from its scaling properties

2001 ◽  
Vol 37 (12) ◽  
pp. 3247-3252 ◽  
Author(s):  
Carlo De Michele ◽  
Nathabandu T. Kottegoda ◽  
Renzo Rosso
2016 ◽  
Vol 537 ◽  
pp. 419-430 ◽  
Author(s):  
Sandra Pavlovic ◽  
Sanja Perica ◽  
Michael St Laurent ◽  
Alfonso Mejía

1996 ◽  
Vol 42 (1-4) ◽  
pp. 123-135 ◽  
Author(s):  
Baldassare Bacchi ◽  
Roberto Ranzi

2018 ◽  
Vol 22 (11) ◽  
pp. 4681-4698 ◽  
Author(s):  
Kahhoong Kok ◽  
Wansik Yu ◽  
Lariyah Mohd Sidek ◽  
Kwansue Jung

2006 ◽  
Vol 6 (3) ◽  
pp. 377-386 ◽  
Author(s):  
F. Lombardo ◽  
F. Napolitano ◽  
F. Russo

Abstract. In order to estimate the rainfall fields over an entire basin raingauge, pointwise measurements need to be interpolated and the small-scale variability of rainfall fields can lead to biases in the rain rate estimation over an entire basin, above all for small or medium size mountainous and urban catchments. For these reasons, several raingauges should be installed in different places in order to determine the spatial rainfall distribution during the evolution of the natural phenomena over the selected area. In technical applications, many empirical relations are used in order to deduce heavy areal rainfall, when just one raingauge is available. In this work, we studied the areal reduction factor (ARF) using radar reflectivity maps collected with the Polar 55C, a C-band Doppler dual polarized coherent weather radar with polarization agility and with a 0.9° beamwidth. The radar rainfall estimates, for an area of 1 km2, were integrated for heavy rainfall with an upscaling process, until we had rainfall estimate for an area of 900 km2. The results obtained for a significant amount of data by using this technique are compared with the most important relations of the areal reduction factor reported in the literature.


2002 ◽  
Vol 45 (2) ◽  
pp. 83-90 ◽  
Author(s):  
C. De Michele ◽  
N.T. Kottegoda ◽  
R. Rosso

Intensity-duration-area frequency curves, IDAF, are determined for the evaluation of design storms using a scaling approach. The variability of maximum annual rainfall intensity in area and duration is represented through the scaling properties in time and space. Thus the scaling relationships of mean rainfall intensity with area and duration are derived using the concepts of dynamic scaling and statistical self-affinity. For a lognormal distribution of rainfall intensity a multiscaling lognormal model is obtained. This gives the IDAF curves of extreme storm rainfall. An application is made to the metropolitan area of Milano.


2002 ◽  
Vol 35 (2) ◽  
pp. 173-186 ◽  
Author(s):  
Jong-Ho Jeong ◽  
Chang-Jin Na ◽  
Yong-Nam Yun

1995 ◽  
Vol 32 (1) ◽  
pp. 209-215 ◽  
Author(s):  
Christian Roux ◽  
Anne Guillon ◽  
Anne Comblez

Simulated outlet flow series are compared downstream of a 14 sq. km. urban watershed. They are generated either with design rainfall, with long-term point rainfall series, or with long-term space distributed rainfall series (measured with 3 raingauges or with radar). The use of the double-triangle shaped hyetograph as design rainfall provides the same T-year flow as the long term 3 raingauge series, if it is used with a areal reduction factor and uniformly applied to the watershed. For the same T-year mean areal precipitation depth during the time of concentration, the rainfall spatial and temporal heterogenities may induce differences up to +/− 30% on the peak flow, compared to the T-year peak flow.


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