Método de dimensionamiento para tanques de captación de agua lluvia utilizando series de resolución diaria de lluvia y de demanda de agua

This work presents a simplified method for ra inwater harvesting (RWH) tank sizing using long day-resolution rainfall time series. This me thod considers heterogeneous contributing catchments and water demand flow rates. For the tank sizing, we proposed to take into account the probability to supply the water demand, as well as the most needed probable time step and their respective variabilities. The method was ap plied to a specific case study (Pontificia Universidad Javeriana, RHW project), with 73 years of daily-resolution rainfall information (between 1936-2010). For the analysis we used different time periods from data-set and the results were: (i) for the whole data-set 76 years: 395 m 3 (28 days, probability: 78%); (ii) for the last ten years: 494 m 3 (35 days, probability: 89%); (iii) for the last five years: 346 m 3 (25 days, probability: 84%); (iv) for the last year: 155-198 m 3 (11-14 days, probab ility: 89-90%). These results seem to be influenced by an evolution of rainfall depth in different selected periods, which will be studied in further researches.