scholarly journals Real-Time River Flood Control under Historical and Future Climatic Conditions: Flanders Case Study

2020 ◽  
Vol 146 (1) ◽  
pp. 05019022 ◽  
Author(s):  
E. Vermuyten ◽  
E. Van Uytven ◽  
P. Meert ◽  
V. Wolfs ◽  
P. Willems
Keyword(s):  
Real Time ◽  
Flood Control ◽  
Climatic Conditions ◽  
River Flood

Kalamazoo River Flood Control Proposal: A Case Study

1972 ◽  
Vol 48 (1) ◽  
pp. 57
Author(s):  
Myron H. Ross
Keyword(s):  
Flood Control ◽  
Proposal A ◽  
River Flood ◽  
Kalamazoo River

scholarly journals Nonstructural Flood Control using Multi-reservoir Operation

2017 ◽  
Vol 5 (2) ◽  
Author(s):  
Babak Bayat
Keyword(s):  
Optimization Model ◽  
Flood Control ◽  
Flood Damage ◽  
Flood Routing ◽  
Flow Equations ◽  
Reservoir System ◽  
Simulation Based ◽  
River Flood ◽  
Southwest Of Iran

Nonstructural flood damage minimization through optimizing a short term multi-reservoir system operation is considered in this paper using a simulation-based optimization model. The well known evolutionary computation technique of particle swarm optimization (PSO) has been combined with a simulation model of river flood routing. The hydraulic routing model includes numerical solution of unsteady gradually varied flow equations by Preissmann method. The developed model has been used in a three-reservoir system as a real case study southwest of Iran. The results show applicability and efficiency of the proposed simulation-optimization model in determining optimal reservoir releases.

scholarly journals Real-Time Flood Control by Tree-Based Model Predictive Control Including Forecast Uncertainty: A Case Study Reservoir in Turkey

Water ◽  
2018 ◽  
Vol 10 (3) ◽  
pp. 340 ◽  
Author(s):  
Gökçen Uysal ◽  
Rodolfo Alvarado-Montero ◽  
Dirk Schwanenberg ◽  
Aynur Şensoy
Keyword(s):  
Model Predictive Control ◽  
Real Time ◽  
Predictive Control ◽  
Flood Control ◽  
Forecast Uncertainty

Pollution based real time control strategies for combined sewer systems

1997 ◽  
Vol 36 (8-9) ◽  
pp. 331-336 ◽  
Author(s):  
Gabriela Weinreich ◽  
Wolfgang Schilling ◽  
Ane Birkely ◽  
Tallak Moland
Keyword(s):  
Real Time ◽  
Control Strategies ◽  
Ammonia Nitrogen ◽  
Simple Extension ◽  
Real Time Control ◽  
Time Control ◽  
Sewer Systems ◽  
Receiving Waters ◽  
Tunnel System

This paper presents results from an application of a newly developed simulation tool for pollution based real time control (PBRTC) of urban drainage systems. The Oslo interceptor tunnel is used as a case study. The paper focuses on the reduction of total phosphorus Ptot and ammonia-nitrogen NH4-N overflow loads into the receiving waters by means of optimized operation of the tunnel system. With PBRTC the total reduction of the Ptot load is 48% and of the NH4-N load 51%. Compared to the volume based RTC scenario the reductions are 11% and 15%, respectively. These further reductions could be achieved with a relatively simple extension of the operation strategy.

scholarly journals The application of environmental governance for sustainable watershed-based management

2021 ◽  
Author(s):  
Seiichi Kagaya ◽  
Tetsuya Wada
Keyword(s):  
Environmental Protection ◽  
River Basin ◽  
Watershed Management ◽  
Water Use ◽  
Flood Control ◽  
Environmental Governance ◽  
Planning Process ◽  
Environment Assessment ◽  
Control Water

AbstractIn recent years, it has become popular for some of countries and regions to adapt the system of governance to varied and complex issues concerned with regional development and the environment. Watershed management is possibly the best example of this. It involves flood control, water use management and river environment simultaneously. Therefore, comprehensive watershed-based management should be aimed at balancing those aims. The objectives of this study are to introduce the notion of environmental governance into the planning process, to establish a method for assessing the alternatives and to develop a procedure for determining the most appropriate plan for environmental governance. The planning process here is based on strategic environment assessment (SEA). To verify the hypothetical approach, the middle river basin in the Tokachi River, Japan was selected as a case study. In practice, after workshop discussions, it was found to have the appropriate degree of consensus based on the balance of flood control and environmental protection in the watershed.

scholarly journals A Planning Tool for Reliability Assessment of Overhead Distribution Lines in Hybrid AC/DC Grids

2021 ◽  
Vol 13 (11) ◽  
pp. 6099
Author(s):  
Giovanna Adinolfi ◽  
Roberto Ciavarella ◽  
Giorgio Graditi ◽  
Antonio Ricca ◽  
Maria Valenti
Keyword(s):  
Reliability Assessment ◽  
Reliability Function ◽  
Climatic Conditions ◽  
Planning Tool ◽  
Grid Resource ◽  
Distribution Lines ◽  
Ac Networks ◽  
Reliability Performance ◽  
Power Dispatching

Integration of DC grids into AC networks will realize hybrid AC/DC grids, a new energetic paradigm which will become widespread in the future due to the increasing availability of DC-based generators, loads and storage systems. Furthermore, the huge connection of intermittent renewable sources to distribution grids could cause security and congestion issues affecting line behaviour and reliability performance. This paper aims to propose a planning tool for congestion forecasting and reliability assessment of overhead distribution lines. The tool inputs consist of a single line diagram of a real or synthetic grid and a set of 24-h forecasting time series concerning climatic conditions and grid resource operative profiles. The developed approach aims to avoid congestions criticalities, taking advantage of optimal active power dispatching among “congestion-nearby resources”. A case study is analysed to validate the implemented control strategy considering a modified IEEE 14-Bus System with introduction of renewables. The tool also implements reliability prediction formulas to calculate an overhead line reliability function in congested and congestions-avoided conditions. A quantitative evaluation underlines the reliability performance achievable after the congestion strategy action.

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