| contributor author | Simone Santopietro | |
| contributor author | Rudy Gargano | |
| contributor author | Francesco Granata | |
| contributor author | Giovanni de Marinis | |
| date accessioned | 2022-01-30T21:16:32Z | |
| date available | 2022-01-30T21:16:32Z | |
| date issued | 11/1/2020 12:00:00 AM | |
| identifier other | %28ASCE%29WR.1943-5452.0001282.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4267917 | |
| description abstract | A novel application of spline curves was developed for tracing average daily trends of water demand. These trends were used as input of a stochastic model to generate synthetic time series considering the number of water users as the main input parameter. Hermite polynomials were used for a piecewise interpolation of some known points of the daily trend which were obtained through reliable equations from the literature, whereas unknown points were deduced based on the mathematical properties of the demand pattern. Daily demand time series were generated for different time resolutions using a Monte Carlo approach based on a mixed probability distribution. Results were compared with real observed demand data to validate the effectiveness of the proposed approach, showing encouraging results. | |
| publisher | ASCE | |
| title | Generation of Water Demand Time Series through Spline Curves | |
| type | Journal Paper | |
| journal volume | 146 | |
| journal issue | 11 | |
| journal title | Journal of Water Resources Planning and Management | |
| identifier doi | 10.1061/(ASCE)WR.1943-5452.0001282 | |
| page | 9 | |
| tree | Journal of Water Resources Planning and Management:;2020:;Volume ( 146 ):;issue: 011 | |
| contenttype | Fulltext | |
