scholarly journals Implementation of Decision Support System for Moscow River Water Supply System Management

2018 ◽  
Author(s):  
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
River Water ◽  
Supply System ◽  
Water Supply System ◽  
Water Inflow ◽  
Information Support ◽  
System Management ◽  
Water Reservoirs ◽  
Moscow River

Centre of registry and cadaster provides with the developed DSS information support for management of the Moscow River water supply system since 2009. Information support includes hydrological and water resources analysis, inflow predictions, evaluation of the current state of MRWSS and development of recommendations for water reservoirs management pattern for a next operation term. The developed recommendations are regularly presented at the sessions of interdepartmental working group of the Moscow-Oka river basin authorities. Analysis of current hydrological state is provided on the base of GIS-technologies. Water inflow is calculated by ECOMAG hydrological model describing the full hydrological cycle of the Moscow River watershed. The technique for prediction of water inflow to reservoirs, based on use of a set of weather scenarios, is presented. Water regimes for 5 water reservoirs and downstream branches of the Moscow, Ruza, Ozerna and Istra rivers for a next planning term, are developed with use of VOLPOW water resources system simulation model. Finally the ways of improvement of the discussed DSS for Moscow River water supply system management are proposed.

scholarly journals A Case Study in View of Developing Predictive Models for Water Supply System Management

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3305
Author(s):  
Katarzyna Pietrucha-Urbanik ◽  
Barbara Tchórzewska-Cieślak ◽  
Mohamed Eid
Keyword(s):  
Water Supply ◽  
Predictive Models ◽  
Failure Modes ◽  
Supply System ◽  
Water Supply System ◽  
System Management ◽  
System A ◽  
Operational Failure ◽  
Operational Data

Initiated by a case study to assess the effectiveness of the modernisation actions undertaken in a water supply system, some R&D activities were conducted to construct a global predictive model, based on the available operational failure and recovery data. The available operational data, regarding the water supply system, are the pipes’ diameter, failure modes, materials, functional conditions, seasonality, and the number of failures and time-to-recover intervals. The operational data are provided by the water company responsible of the supply system. A predictive global model is proposed based on the output of the operational data statistical assessment. It should assess the expected effectiveness of decisions taken in support of the modernisation and the extension plan.

Protection and performance of the ancestral water supply system ‘Khettara’ as a sustainable alternative for arid regions

2013 ◽  
Vol 13 (6) ◽  
pp. 1452-1462 ◽  
Author(s):  
H. Benqlilou ◽  
S. Bensaid
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Unified Modeling Language ◽  
Supply System ◽  
Water Supply System ◽  
Water Supply Systems ◽  
Diagnostic Study ◽  
The South ◽  
Cultural Aspects ◽  
Semi Arid Region

Located in a semi-arid region in the south and east of the country, the Moroccan oases are characterized by severe aridity and scarcity of water resources. However, the ancestral populations have shown a major form of adaptation to aridity constraints through the development of knowledge and heuristic expertise on a traditional water supply system called ‘Khettara’. Currently, the effects of climate change on the one hand and the deep social, cultural and economic transformations on the other, have caused the productivity of traditional agriculture to no longer match population needs with progressive vanishing of Khettara as its consequence. A diagnostic study of the situation of oases conducted in the south of Morocco makes it possible to address the socio-economic, environmental and cultural aspects by developing and using a specific methodology to assess fragile ecosystems (DPSIR: Driving Force-Pressure-State-Impact-Response). The main aim of the present work is to provide a methodology allowing the formulation of the required knowledge for the mobilization of traditional water resources techniques such as Khettaras, in order to maintain the national heritage of oases. The modeling formalism of UML (Unified Modeling Language) is borrowed from information technology for the purpose of standardization. The developed methodology enhances these traditional water supply systems by combining traditional and modern techniques to increase their performance in terms of reduced maintenance costs and increased productivity. The developed methodology has been applied to a real case characterized by extreme aridity.

scholarly journals APPLICATION OF NEW TECHNOLOGIES IN THE WATER SUPPLY SYSTEM

2020 ◽  
Vol 1 (22) ◽  
Author(s):  
Sanel Buljubašić
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Drinking Water ◽  
Water Resources ◽  
Water Supply ◽  
New Technologies ◽  
Supply System ◽  
Water Supply System ◽  
Integrated Water Management

Freshwater water resources are not inexhaustible [1]. In recent decades, more and more facts point to this statement from the European Charter for Water. Uncontrolled drinking water interventions, losses in water supply and climate change indicate the problem of sufficient quantities of drinking water [2]. Looking at this problem, it is hard to believe that new quantities of drinking water can be produced. The model of integrated water management has been increasingly used in recent years. The application of new technologies in water supply creates conditions for the controlled management of water intakes and losses in water supply. Each water sapply system needs to develop its own model for integrated water management.

scholarly journals Machine Learning, Urban Water Resources Management and Operating Policy

Resources ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 173 ◽  
Author(s):  
Evangelos Rozos
Keyword(s):  
Dynamic Programming ◽  
Water Resources ◽  
Water Supply ◽  
Network Flow ◽  
Supply System ◽  
Water Supply System ◽  
Urban Water ◽  
Bayesian Decision ◽  
Operating Policy ◽  
Classical Statistics

Meticulously analyzing all contemporaneous conditions and available options before taking operations decisions regarding the management of the urban water resources is a necessary step owing to water scarcity. More often than not, this analysis is challenging because of the uncertainty regarding inflows to the system. The most common approach to account for this uncertainty is to combine the Bayesian decision theory with the dynamic programming optimization method. However, dynamic programming is plagued by the curse of dimensionality, that is, the complexity of the method is proportional to the number of discretized possible system states raised to the power of the number of reservoirs. Furthermore, classical statistics does not consistently represent the stochastic structure of the inflows (see persistence). To avoid these problems, this study will employ an appropriate stochastic model to produce synthetic time-series with long-term persistence, optimize the system employing a network flow programming modelling, and use the optimization results for training a feedforward neural network (FFN). This trained FFN alone can serve as a decision support tool that describes not only reservoir releases but also how to operate the entire water supply system. This methodology is applied in a simplified representation of the Athens water supply system, and the results suggest that the FFN is capable of successfully operating the system according to a predefined operating policy.

scholarly journals A real options approach to the design and architecture of water supply systems using innovative water technologies under uncertainty

2011 ◽  
Vol 14 (1) ◽  
pp. 13-29 ◽  
Author(s):  
Stephen X. Zhang ◽  
Vladan Babovic
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Water Supply ◽  
Real Options ◽  
Effective Means ◽  
Supply System ◽  
Water Supply System ◽  
Water Supply Systems ◽  
Real Options Approach ◽  
Supply Systems

Water supply has become a priority for developed and developing nations of the world. Conventional water resources alone cannot meet the growing demand for water in urban cities. Management of the problem is amplified by uncertainty associated with different development strategies. Singapore has limited conventional water resources and progressively architects its water supply system through acquiring and sustaining multiple (alternative) water resources through innovative technologies. The full rationale and merits of such a policy cannot be properly understood based on traditional project valuation methods alone. This paper provides decision support using a real options approach by evaluating innovative water technologies from multiple perspectives under uncertainty. This paper demonstrates that incorporating innovative water technologies into water supply systems can concurrently improve water supply from the financial, political and socioeconomic perspectives. The development of innovative water technologies provides flexibility to the water supply system, and is a fundamental and effective means of risk management. The evaluation of innovative water technologies is based on an integrated real options approach, which provides decision support for architecting water supply systems under uncertainty. The approach gives specific tangible values for the water technologies and complements the general prescriptive Integrated Water Resources Management (IWRM) framework.

scholarly journals Optimal Water Supply System Management by Leakage Reduction and Energy Recovery

2014 ◽  
Vol 89 ◽  
pp. 573-580 ◽  
Author(s):  
C. Tricarico ◽  
M.S. Morley ◽  
R. Gargano ◽  
Z. Kapelan ◽  
G. de Marinis ◽  
...  
Keyword(s):  
Water Supply ◽  
Energy Recovery ◽  
Supply System ◽  
Water Supply System ◽  
System Management ◽  
Leakage Reduction
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