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Telematic Systems in Real-time Management of Integrated Water Resources

机译:集成水资源实时管理中的远程信息处理系统

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摘要

Knowledge of hydrological, hydro geological, technological, social, economical and en-vironmental processes, provide, with the monitored indicators, the necessary elements for the identification of the status of the water resources system. Knowledge of this status is then used for an efficiency test of the system, in comparison with the optimal possible status consistent both with the actual conditions and with different managing, social, economical and environmental conditions, which can be configured aiming at short, medium or long-term optimisation of the system. This can be achieved comparing the actual situation with different virtual simulations in alternative hypothesis of immediate or medium to long-term realisations. Objectives and management policies may change depending on the adopted social, economical and environmental purposes. Choosing the optimal solutions is necessary to define the limits of global and sectorial sustainability in short, medium and long-term that will be assigned to the dynamic system, and the acceptability thresholds for each intervention. These programming limits enable modelling of a great amount of alternative schemes with possible projections, simulations, optimisations and comparisons among alternative solutions. The choice of mathematical models available for these purposes is very wide, ranging from deterministic, stochastic and probabilistic ones to generation of synthetic series, from the application of fuzzy systems to neural networks, from cellular automes to self-learning systems and artificial intelligence. These treatments will be followed by a wide-range comparison of different planning hypothesis aiming to dynamics optimisation, by means of a costs/benefits analysis at social, economical and environmental level; this will involve the assessment of social and environmental parameters. Comparison of alternative solutions will be performed with the aid of decision support systems, adopted with different criteria and regulations. The results attended in this step of program are the analysis of water resources and water supply systems, the simulation and forecasting with alternative objectives optimisation, the socio-economical-environmental cos/benefits analysis and the decision support systems.
机译:对水文,水文地质,技术,社会,经济和环境过程的了解,为监测指标提供了必要的要素,以识别水资源系统的状况。然后,将这种状态的知识用于系统的效率测试,并与与实际条件以及与不同的管理,社会,经济和环境条件一致的最佳可能状态进行比较,后者可以针对短期,中等或中等状态进行配置系统的长期优化。这可以通过在即时或中长期实现的替代假设中将实际情况与不同的虚拟仿真进行比较来实现。目标和管理政策可能会根据采用的社会,经济和环境目的而改变。选择最佳解决方案对于定义将分配给动态系统的短期,中期和长期的全球和部门可持续性的限制以及每种干预措施的可接受性阈值是必要的。这些编程限制使您可以对大量替代方案进行建模,并在替代方案之间进行可能的预测,仿真,优化和比较。用于这些目的的数学模型的选择范围很广,从确定性,随机性和概率性模型到合成系列的生成,从模糊系统到神经网络的应用,从细胞自动机到自学习系统和人工智能。这些方法之后,将通过社会,经济和环境层面的成本/收益分析,对旨在动态优化的不同规划假说进行广泛的比较;这将涉及社会和环境参数的评估。替代解决方案的比较将在决策支持系统的帮助下进行,并采用不同的标准和法规。该计划步骤所涉及的结果是对水资源和供水系统的分析,具有替代性目标优化的模拟和预测,社会经济环境COS /收益分析以及决策支持系统。

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