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  • 1
    Online Resource
    Online Resource
    Long-term efficiency of water networks with demand uncertainty
    Thomas Telford Ltd. ; 2011
    In:  Proceedings of the Institution of Civil Engineers - Water Management Vol. 164, No. 3 ( 2011-03), p. 147-159
    Details
    In: Proceedings of the Institution of Civil Engineers - Water Management, Thomas Telford Ltd., Vol. 164, No. 3 ( 2011-03), p. 147-159
    Abstract: Water distribution network (WDN) design problems generally consider minimising network costs while meeting minimum allowable pressure under specified demand patterns. However, extension and renovation of networks based on assessment of demand uncertainty causes an increase in efficiency of the system and monetary savings. Attention to uncertain changes in pattern and the value of nodal demands in an operational period can thus show the effect of uncertainties in the network's efficiency. Using Monte Carlo simulation and shuffled frog leaping algorithm optimisation, this paper analyses the efficiency of a designed network based on nodal demand uncertainty during the operational period. Assessment of a network efficiency index according to a probabilistic normal distribution for nodal demand in an operational period shows that a network design that does not consider nodal demand uncertainty decreases network efficiency, especially at the end of the operational period. Moreover, an increase in demand uncertainty decreases network efficiency. The results of the proposed model for a benchmark WDN show that a network designed deterministically for a 30-year operational period is unable to secure nodal demands with suitable pressure after 10 years. In addition, the minimum required pressure considered in network design is met in approximately the first 18 years of the operational period.
    Type of Medium: Online Resource
    ISSN: 1741-7589 , 1751-7729
    URL: Article
    DOI: 10.1680/wama.1000039
    Language: English
    Publisher: Thomas Telford Ltd.
    Publication Date: 2011
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  • 2
    Online Resource
    Online Resource
    Effects of Pipe Roughness Uncertainty on Water Distribution Network Performance During its Operational Period
    Springer Science and Business Media LLC ; 2013
    In:  Water Resources Management Vol. 27, No. 5 ( 2013-3), p. 1581-1599
    Details
    In: Water Resources Management, Springer Science and Business Media LLC, Vol. 27, No. 5 ( 2013-3), p. 1581-1599
    Type of Medium: Online Resource
    ISSN: 0920-4741 , 1573-1650
    URL: Article
    DOI: 10.1007/s11269-013-0259-6
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2013
    detail.hit.zdb_id: 2016360-5
    SSG: 14
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  • 3
    Online Resource
    Online Resource
    Performance of a novel hybrid algorithm in the design of water networks
    Thomas Telford Ltd. ; 2011
    In:  Proceedings of the Institution of Civil Engineers - Water Management Vol. 164, No. 4 ( 2011-04), p. 173-191
    Details
    In: Proceedings of the Institution of Civil Engineers - Water Management, Thomas Telford Ltd., Vol. 164, No. 4 ( 2011-04), p. 173-191
    Abstract: This paper proposes a novel hybrid evolutionary-based approach, named the modified cellular automaton network design algorithm–honey-bee mating optimisation (Mcanda–HBMO) algorithm, to the optimal design of water distribution systems. HBMO is a meta-heuristic approach for solving discrete and continuous optimisation problems, and Mcanda is a powerful local search algorithm that can help HBMO in better evolution. Two benchmark water distribution networks are considered in which the design variables are pipe diameters. Subsequently, the HBMO algorithm is applied to determine optimal discrete and continuous pipe sizes for the networks. Furthermore, to determine the effects of the roughness coefficient and minimum required nodal pressure on the HBMO algorithm performance, some additional information is presented to demonstrate those influences in the value of the final objective function as well as optimal pipe diameters. Moreover, in order to improve the performance of the search method, a combination of a local search algorithm with HBMO is tested in both examples. The hybrid algorithm consists of the modified Canda algorithm and pure HBMO which has had a better performance in both convergence rate and average objective functions found. The final results yielded by both HBMO and hybrid Mcanda–HBMO show the capability of these algorithms and also present some improvements in previously reported results.
    Type of Medium: Online Resource
    ISSN: 1741-7589 , 1751-7729
    URL: Article
    DOI: 10.1680/wama.1000028
    Language: English
    Publisher: Thomas Telford Ltd.
    Publication Date: 2011
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  • 4
    Online Resource
    Online Resource
    Application of a new hybrid non-linear Muskingum model to flood routing
    Thomas Telford Ltd. ; 2020
    In:  Proceedings of the Institution of Civil Engineers - Water Management Vol. 173, No. 3 ( 2020-06), p. 109-120
    Details
    In: Proceedings of the Institution of Civil Engineers - Water Management, Thomas Telford Ltd., Vol. 173, No. 3 ( 2020-06), p. 109-120
    Abstract: This paper introduces a hybrid non-linear Muskingum model for flood routing. The proposed hybrid model has more degrees of freedom for fitting observed data than other non-linear Muskingum models. The main goal of this work is to develop a comprehensive model for outflow routing. The proposed hybrid model's predictive skill is evaluated with experimental, real and multimodal hydrograph-routing problems. The results confirm the predictive skill of the hybrid model based on the minimisation of the sum of the square deviation (SSD) between observed and routed outflows, the sum of the absolute value of the deviations (SAD) between the observed outflow and the computed outflow, and the deviations between the peak of the routed and actual outflows (DPO). Results from this study show the hybrid model improved the SSD by 79, 15 and 5%, SAD by 50, 2 and 5%, and the DPO by 77, 4 and 34% compared with the best alternative Muskingum model in solving the experimental, real and multimodal example problems, respectively.
    Type of Medium: Online Resource
    ISSN: 1741-7589 , 1751-7729
    URL: Article
    DOI: 10.1680/jwama.19.00075
    Language: English
    Publisher: Thomas Telford Ltd.
    Publication Date: 2020
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  • 5
    Online Resource
    Online Resource
    Multireservoir optimisation in discrete and continuous domains
    Thomas Telford Ltd. ; 2011
    In:  Proceedings of the Institution of Civil Engineers - Water Management Vol. 164, No. 2 ( 2011-02), p. 57-72
    Details
    In: Proceedings of the Institution of Civil Engineers - Water Management, Thomas Telford Ltd., Vol. 164, No. 2 ( 2011-02), p. 57-72
    Abstract: In this paper, the honey-bee mating optimisation (HBMO) algorithm, which is based on the mating procedure of honey-bees in nature, is presented and tested with three benchmark multireservoir operation problems in both discrete and continuous domains. To test the applicability of the algorithm, results are compared with those from different analytical and evolutionary algorithms (linear programming, dynamic programming, differential dynamic programming, discrete differential dynamic programming and genetic algorithm). The first example is a multireservoir operation optimisation problem in a discrete domain with discrete decision and state variables. It is shown that the performance of the model compares well with results of the well-developed genetic algorithm. The second example is a four-reservoir problem in a continuous domain that has recently been approached with different evolutionary algorithms. The third example is a ten-reservoir problem in series and parallel. The best solution obtained is quite comparable with the linear programming solution, and slightly better than the best result reported by other investigators using genetic algorithms. In all three cases, convergence of the solutions in different runs to near-global optima and its rapid convergence rate compared to genetic algorithm demonstrates the applicability and efficiency of the proposed algorithm in solving water-resource optimisation problems in both discrete and continuous domains.
    Type of Medium: Online Resource
    ISSN: 1741-7589 , 1751-7729
    URL: Article
    DOI: 10.1680/wama.900077
    Language: English
    Publisher: Thomas Telford Ltd.
    Publication Date: 2011
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  • 6
    Online Resource
    Online Resource
    Determination of optimized cropping patterns according to crop yield response under baseline condition and climate‐change condition
    Wiley ; 2018
    In:  Irrigation and Drainage Vol. 67, No. 5 ( 2018-12), p. 654-669
    Details
    In: Irrigation and Drainage, Wiley, Vol. 67, No. 5 ( 2018-12), p. 654-669
    Abstract: En raison de la pénurie d'eau, du changement climatique et de l'augmentation de la demande en eau, l'allocation optimale de l'eau agricole est cruciale, en particulier pendant une période de sécheresse. L'objectif de cette étude est d'optimiser les modèles de culture dans le bassin de la rivière Aidoghmush en Iran pour les conditions de base et les conditions de changement climatique. À cette fin, l'algorithme génétique a été appliqué et un modèle d'optimisation a été élaboré dans le but de maximiser les avantages agricoles pour un horizon de planification de 14 ans. La condition de base et les conditions de changement climatique des périodes de 14 ans utilisées dans cette étude sont 1987–2000 et 2026–2039, respectivement. Les résultats ont montré que les scénarios de changements de modèle de culture tenant compte de la réponse du rendement de la culture obtenaient des bénéfices plus élevés que les scénarios pour la condition actuelle et d'autres conditions optimales ne tenant pas compte de la réponse du rendement des cultures. En tenant compte des modèles de culture optimaux basés sur la réponse du rendement des cultures, les avantages dans l'horizon de planification ont augmenté respectivement de 46.7 et 37.8% respectivement pour la condition de référence et la condition de changement climatique par rapport à la condition actuelle. © 2018 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1531-0353 , 1531-0361
    URL: Issue
    URL: Article
    DOI: 10.1002/ird.v67.5
    DOI: 10.1002/ird.2279
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2045607-4
    SSG: 21
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  • 7
    Online Resource
    Online Resource
    System dynamics applied to water management in lakes *
    Wiley ; 2020
    In:  Irrigation and Drainage Vol. 69, No. 4 ( 2020-10), p. 956-966
    Details
    In: Irrigation and Drainage, Wiley, Vol. 69, No. 4 ( 2020-10), p. 956-966
    Abstract: Les prélèvements d'eau et les changements de flux hydrologiques ont abaissé le niveau du lac Urmia en Iran, affectant négativement son écosystème. La baisse continue du niveau d'eau du lac Urmia mettrait en danger d'extinction le plus important écosystème aquatique d'Iran. Par conséquent, il est urgent de gérer les prélèvements d'eau et de réduire l'utilisation de l'eau dans les barrages et les rivières en amont pour arrêter son déclin continu et permettre la récupération du stockage. Le bassin du lac Urmia a été modélisé ici avec system dynamics (SD) pour évaluer les effets de la modification du fonctionnement du réservoir et de la gestion de l'utilisation de l'eau sur la durabilité du stockage du lac Urmia. La performance du modèle a été évaluée avec l'erreur quadratique moyenne (RMSE) et le coefficient de corrélation (R2). Les résultats montrent que SD avec RMSE = 18.0 (10 6 m 3 ) et R2 = 0.952 est précis dans la simulation du stockage du lac Urmia. L'évaluation des impacts de plusieurs scénarios d'utilisation agricole de l'eau sur le stockage du lac indique que les réductions dans le secteur agricole semblent inévitables pour rétablir le bilan hydrique du lac Urmia. © 2020 John Wiley & Sons, Ltd.
    Type of Medium: Online Resource
    ISSN: 1531-0353 , 1531-0361
    URL: Issue
    URL: Article
    DOI: 10.1002/ird.v69.4
    DOI: 10.1002/ird.2470
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2045607-4
    SSG: 21
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  • 8
    Online Resource
    Online Resource
    Application of the gravity search algorithm to multi-reservoir operation optimization
    Elsevier BV ; 2016
    In:  Advances in Water Resources Vol. 98 ( 2016-12), p. 173-185
    Details
    In: Advances in Water Resources, Elsevier BV, Vol. 98 ( 2016-12), p. 173-185
    Type of Medium: Online Resource
    ISSN: 0309-1708
    URL: Article
    DOI: 10.1016/j.advwatres.2016.11.001
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2016
    detail.hit.zdb_id: 2023320-6
    detail.hit.zdb_id: 428761-7
    SSG: 14
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  • 9
    Online Resource
    Online Resource
    Integrated virtual water trade management considering self-sufficient production of strategic agricultural and industrial products
    Elsevier BV ; 2020
    In:  Science of The Total Environment Vol. 743 ( 2020-11), p. 140797-
    Details
    In: Science of The Total Environment, Elsevier BV, Vol. 743 ( 2020-11), p. 140797-
    Type of Medium: Online Resource
    ISSN: 0048-9697
    URL: Article
    DOI: 10.1016/j.scitotenv.2020.140797
    RVK:
    AR 10100
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
    detail.hit.zdb_id: 1498726-0
    detail.hit.zdb_id: 121506-1
    SSG: 12
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  • 10
    Online Resource
    Online Resource
    Simulating thermal stratification and modeling outlet water temperature in reservoirs with a data-mining method
    IWA Publishing ; 2019
    In:  Journal of Water Supply: Research and Technology-Aqua Vol. 68, No. 1 ( 2019-02), p. 7-19
    Details
    In: Journal of Water Supply: Research and Technology-Aqua, IWA Publishing, Vol. 68, No. 1 ( 2019-02), p. 7-19
    Type of Medium: Online Resource
    ISSN: 0003-7214 , 1605-3974
    URL: Article
    DOI: 10.2166/aqua.2018.036
    Language: English
    Publisher: IWA Publishing
    Publication Date: 2019
    detail.hit.zdb_id: 3063841-0
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