Generating Water Demand Scenarios Using Scaling Laws
| Autor: | M. da Conceição Cunha, I. Vertommen, R. Magini |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Mathematical optimization
Scaling law Distribution networks Computer science 0207 environmental engineering robust optimization Multivariate normal distribution 02 engineering and technology 010501 environmental sciences 01 natural sciences Scaling water demand scenarios generation distribution networks Econometrics 020701 environmental engineering Engineering(all) 0105 earth and related environmental sciences Node (networking) scenarios Robust optimization Sampling (statistics) General Medicine Water demand |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| ISSN: | 1877-7058 |
| DOI: | 10.1016/j.proeng.2014.02.187 |
| Popis: | This paper addresses uncertainty inherent to water demand and proposes an approach to generate demand scenarios and calculate their probability of occurrence. Nodal water demands are modelled as correlated stochastic variables. The parameters which characterize demand vary with spatial and temporal aggregation levels. Scaling laws allow the definition of these parameters for different users and sampling rates. Different scenarios are generated by considering different combinations of demands at each node of the network. A multivariate normal distribution is used to obtain the probability of each demand scenario. Correlation between demands is found to significantly affect the scenarios probabilities. |
| Databáze: | OpenAIRE |
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