Parameter Estimation in Water Distribution Networks
| العنوان: | Parameter Estimation in Water Distribution Networks |
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| المؤلفون: | Shankar Narasimhan, Shanmugam Mohan Kumar, S. Murty Bhallamudi |
| المصدر: | Water Resources Management. 24:1251-1272 |
| بيانات النشر: | Springer Science and Business Media LLC, 2009. |
| سنة النشر: | 2009 |
| مصطلحات موضوعية: | Mathematical optimization, Canalisation, Operations research, Estimation theory, Computer science, Surface roughness, k-means clustering, Graph theory, Surface finish, Cluster analysis, Water Science and Technology, Civil and Structural Engineering, Curse of dimensionality |
| الوصف: | Estimation of pipe roughness coefficients is an important task to be carried out before any water distribution network model is used for online applications such as monitoring and control. In this study, a combined state and parameter estimation model for water distribution networks is presented. Typically, estimation of roughness coefficient for each individual pipe is not possible due to non-availability of sufficient number of measurements. In order to address this problem, a formal procedure based on K-means clustering algorithm is proposed for grouping the pipes which are likely to have the same roughness characteristics. Also, graph-theoretic concepts are used to reduce the dimensionality of the problem and thereby achieve significant computational efficiency. The performance of the proposed model is demonstrated on a realistic urban water distribution network. |
| تدمد: | 1573-1650 0920-4741 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::decbafc8d47768563adf20e930a6ee9f https://doi.org/10.1007/s11269-009-9495-1 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........decbafc8d47768563adf20e930a6ee9f |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 15731650 09204741 |
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