Storm Tracking based on Rain Gauges for Flooding Control in Urban Areas

Abstract The fervent urbanization process coupled with the climate changes has been generating a series of more frequent and intense floods all over the world. Although flood risk can never be completely eradicated, its impacts require to be reduced by either improving the modelling of urban drainage systems and deepening the knowledge of flood produced by extreme storm rainfalls. The detailed study of urban drainage networks plays a fundamental role not only on problems related to flooding phenomena that are repeated with increasing frequency, but also on issue related to water quality of run-off (Piro et al., 2012). The objective of the study is to demonstrate the rainfall tracking prediction can be accurately performed in areas where radar measurements are not available, by using a dense network of rain gauges. The results of numerous storm tracking studies reveal that the choice of the hyetograph feature is a very difficult task (Hindi et al., 1977; Felgate et al., 1975; Shaw, 1983). In this study the storm tracking was studied on the basis of the method proposed by Diskin (1990). The methodology proposed has been applied to data from a network of rain gauges distributed over an area of about 1,600 km2 around the city of London, UK. The results demonstrate how rain gauges, that are more approachable than radars for either economical and practical reasons, are very useful in forecasting the movements of storm events in the monitored area.

[1]  Akira Kawamura,et al.  Real-time rainfall prediction at small space-time scales using a two-dimensional stochastic advection-diffusion model , 1993 .

[2]  M. H. Diskin The Speed of Two Moving Rainfall Events in Lund , 1990 .

[3]  Janusz Niemczynowicz,et al.  Storm tracking using rain gauge data , 1987 .

[4]  Don R. May,et al.  Eulerian and Lagrangian correlation structures of convective rainstorms , 1998 .

[5]  D. Read,et al.  Correlation analysis of the cellular structure of storms observed by raingauges , 1975 .

[6]  I. Zawadzki Statistical Properties of Precipitation Patterns , 1973 .

[7]  J. Niemczynowicz,et al.  Dynamic properties of rainfall in Lund , 1984 .

[8]  R. Marshall A spatial-temporal model of storm rainfall , 1983 .

[9]  N. T. Kottegoda,et al.  The turning bands method with the fast-Fourier transform as an aid to the determination of storm movement , 1991 .

[10]  J. Niemczynowicz,et al.  Dynamics of short rainfall storms in a small scale urban area in Coly Limper, Malaysia , 1997 .

[11]  J. Sansalone,et al.  Size Distribution of Wet Weather and Dry Weather Particulate Matter Entrained in Combined Flows from an Urbanizing Sewershed , 2010 .

[12]  M. H. Diskin On the determination of the speed of moving rainfall patterns , 1987 .

[13]  W. Hindi,et al.  Determination of storm velocities as an aid to the quality control of recording raingauge data , 1977 .

[14]  S. R. Shaw An investigation of the cellular structure of storms using correlation techniques , 1983 .

[15]  J. Sansalone,et al.  Delivery and Frequency Distributions of Combined Wastewater Collection System Wet and Dry Weather Loads , 2012, Water environment research : a research publication of the Water Environment Federation.

[16]  R. J. Marshall The estimation and distribution of storm movement and storm structure, using a correlation analysis technique and rain-gauge data , 1980 .

[17]  J. Niemczynowicz On storm movement and its applications , 1991 .

[18]  G. Fooks Ionospheric drift measurements using correlation analysis; methods of computation and interpretation of results , 1965 .

[19]  P. Hobbs,et al.  Rainbands, Precipitation Cores and Generating Cells in a Cyclonic Storm , 1978 .