scholarly journals Multi-Criteria Analysis of the “Lake Baikal—Irkutsk Reservoir” Operating Modes in a Changing Climate: Reliability, Resilience, Vulnerability

Water ◽  
2021 ◽  
Vol 13 (20) ◽  
pp. 2879
Author(s):  
Alexander Buber ◽  
Mikhail Bolgov
Keyword(s):  
Real Time ◽  
Lake Baikal ◽  
Reservoir Operation ◽  
Optimization Methods ◽  
Performance Criteria ◽  
Mathematical Methods ◽  
Operating Modes ◽  
Changing Climate ◽  
Operation Modes ◽  
Multi Criteria Analysis

In the second half of the twentieth century, a cascade of reservoirs was constructed along the Angara: Irkutskoe, Bratskoe, Ust-Ilimskoe and Boguchanskoe, which were intended for producing renewable hydroelectric energy for providing transportation through the Angara and Yenisei Rivers, and for avoiding floods. The upper reservoir (Irkutsk Dam) is used to regulate the level of Baikal Lake. The cascade of Angarsk reservoirs is managed using the dispatch schedules developed in 1988. This article contains a multi-criteria analysis of the “Lake Baikal–Irkutsk Reservoir” operating modes in a changing climate, based on statistical summaries of performance criteria: reliability, resilience, vulnerability. Studies have shown that dispatch schedules need to be developed on the historical series of recent years, updated more often and optimization methods should be used for real-time management. This article discusses mathematical methods, algorithms and their implementations for the formation of reservoir operation modes based on dispatch schedules (DS) and optimization methods. Furthermore, mathematical methods, algorithms and programs have been developed for the formation of reservoir operation modes in real time, based on optimization approaches and long-term series of observed inflows, taking into account a given hierarchy of priorities of water users’ requirements. To solve the integer nonlinear large-dimensional task of performing water resource calculations, a special optimization algorithm was developed that allows decomposition of the task into a series of two-year dimensional independent subtasks.

Risk-based performance criteria for real-time reservoir operation

1991 ◽  
Vol 18 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Donald H. Burn ◽  
Henry D. Venema ◽  
Slobodan P. Simonovic
Keyword(s):  
Real Time ◽  
Reservoir Operation ◽  
Compromise Programming ◽  
Performance Criteria ◽  
Programming Algorithm ◽  
Operation Model ◽  
Operational Strategies ◽  
Risk Optimization ◽  
Trade Offs ◽  
Selection Of

Reliability, resiliency, and vulnerability criteria are formulated as risk-based performance measures for the evaluation of a real-time reservoir operation model. The reservoir operation model includes a multi-objective compromise programming algorithm to select, in real time, an optimal operating horizon for the reservoir operation. The utility of the risk-based performance criteria for comparing operational strategies resulting from the selection of different parameters for the compromise programming algorithm is demonstrated. Although trade-offs exist between the performance evaluators, it is shown that appropriate compromises can be reached between the conflicting modeling goals. Key words: reservoir operation, real time, risk, optimization.

Improving real-time reservoir operation during flood season by making the most of streamflow forecasts

2021 ◽  
Vol 595 ◽  
pp. 126017
Author(s):  
Jiabiao Wang ◽  
Tongtiegang Zhao ◽  
Jianshi Zhao ◽  
Hao Wang ◽  
Xiaohui Lei
Keyword(s):  
Real Time ◽  
Reservoir Operation ◽  
Flood Season ◽  
Streamflow Forecasts

Optimized planning and operation of interconnected multi-purpose reservoir systems using integrated modeling for climate change adaptation

2021 ◽  
Author(s):  
Patrick Nistahl ◽  
Tim Müller ◽  
Gerhard Riedel ◽  
Hannes Müller-Thomy ◽  
Günter Meon
Keyword(s):  
Climate Change ◽  
Reservoir Operation ◽  
Climate Models ◽  
Hydrological Model ◽  
Regional Climate ◽  
Regional Climate Models ◽  
Flood Protection ◽  
Performance Criteria ◽  
Low Flow ◽  
Operation Model

<p>Climate change impact studies performed for Northern Germany indicate a growing demand for water storage capacity to account for flood protection, low flow augmentation, drinking and agricultural water supply. At the same time, larger storage volumes for hydropower plants can be used to cope with the demands of changing energy supply from fossil to renewable energies. To tackle these challenges for the next decades, a novel reservoir system planning instrument is developed, which consists of combined numerical models and evaluation components. It allows to model simultaneously the current interconnected infrastructure of reservoirs as well as additional planning variants (structural and operational) as preparation for climate change. This planning instrument consists of a hydrological model and a detailed reservoir operation model.</p><p>As hydrological model, the conceptual, semi-distributed version of PANTA RHEI is applied.  Bias-corrected regional climate models (based on the RCP 8.5 scenario) are used as meteorological input. The hydrological model is coupled with a detailed reservoir operation model that replicates the complex rules of various interconnected reservoirs based on an hourly time step including pumped storage plants, which may have a subsurface reservoir as a lower basin. Downstream of the reservoirs, the hydrological model is used for routing the reservoir outflows and simulating natural side inflows. In areas of particular interest for flood protection, the hydrological routing is substituted with 2D hydraulic models to calculate the flood risk in terms of expected annual flood damage based on resulting inundation areas.</p><p>For the performance analysis, the simulation runs for all integrated modeling variants are evaluated for a reference period (1971-2000) and for future periods (2041-2070). Performance criteria involve flood protection, drinking water supply, low flow augmentation and energy production. These performance criteria will be used as stake holder information as well as a base for further optimization and ranking of the planning variants.</p><p>The combination of the hydrological model and the reservoir operation model shows a good performance of the existing complex hydraulic infrastructure using observed meteorological forcing as input. The usage of regional climate models as input shows a wide dispersion of several performance criteria, confirming the expected need for an innovative optimization scheme and the communication of the underlying uncertainties.</p>

PARALLEL HYBRID METAHEURISTIC ON SHARED MEMORY SYSTEM FOR REAL-TIME UAV PATH PLANNING

2014 ◽  
Vol 13 (02) ◽  
pp. 1450008 ◽  
Author(s):  
VINCENT ROBERGE ◽  
MOHAMMED TARBOUCHI ◽  
FRANÇOIS ALLAIRE
Keyword(s):  
Real Time ◽  
Shared Memory ◽  
Execution Time ◽  
Hybrid Algorithm ◽  
Statistical Significance ◽  
Optimization Methods ◽  
Memory System ◽  
Hybrid Metaheuristic ◽  
Parallel Hybrid ◽  
Shared Memory System

In this paper, we present a parallel hybrid metaheuristic that combines the strengths of the particle swarm optimization (PSO) and the genetic algorithm (GA) to produce an improved path-planner algorithm for fixed wing unmanned aerial vehicles (UAVs). The proposed solution uses a multi-objective cost function we developed and generates in real-time feasible and quasi-optimal trajectories in complex 3D environments. Our parallel hybrid algorithm simulates multiple GA populations and PSO swarms in parallel while allowing migration of solutions. This collaboration between the GA and the PSO leads to an algorithm that exhibits the strengths of both optimization methods and produces superior solutions. Moreover, by using the "single-program, multiple-data" parallel programming paradigm, we maximize the use of today's multicore CPU and significantly reduce the execution time of the parallel program compared to a sequential implementation. We observed a quasi-linear speedup of 10.7 times faster on a 12-core shared memory system resulting in an execution time of 5 s which allows in-flight planning. Finally, we show with statistical significance that our parallel hybrid algorithm produces superior trajectories to the parallel GA or the parallel PSO we previously developed.

Incorporating operating modes to an ada real-time framework

2010 ◽  
Vol 30 (1) ◽  
pp. 73-85 ◽  
Author(s):  
Jorge Real ◽  
Alfons Crespo
Keyword(s):  
Real Time ◽  
Operating Modes

scholarly journals Performance analysis of a reservoir in arid region Case study: Babar reservoir, Aurès region, Algeria

2018 ◽  
Vol 39 (1) ◽  
pp. 141-146 ◽  
Author(s):  
Fatima Z. Tebbi ◽  
Hadda Dridi ◽  
Mahdi Kalla
Keyword(s):  
Reservoir Operation ◽  
Arid Region ◽  
R Package ◽  
Performance Criteria ◽  
Stochastic Dynamic ◽  
Operation Optimization ◽  
Rule Curves ◽  
Demand Scenario

AbstractLong term and mid-term reservoir operation involves derivation of rule curves for optimal management of the available resource. The present work deals with reservoir operation in the Aurès arid region. As an example, Babar reservoir is selected to apply the proposed approach which estimates all the water balance terms, especially those which are random as water inflows. For each demand scenario a reservoir operation optimization model using Explicit Stochastic Dynamic Programming (ESDP) is performed, to derive optimal rule curves based on historical operating records (Jan 2002–Dec 2013) and using “Reservoir” R package®. Subsequently, risk analysis is conducted for these different demand scenarios rules by the RRV (reliability, resilience, vulnerability) metrics. Results show the advantage of using the “Reservoir” R package for a rapid and an easy analysis of the performance criteria jointly with the optimization algorithm to Re-operate Reservoir operation.

scholarly journals Model for Determining the Optimal Trajectory of Movement of Consignments

2019 ◽  
Vol 17 (2) ◽  
pp. 56-62
Author(s):  
V. A. Demin ◽  
S. Eurich ◽  
D. B. Efimenko
Keyword(s):  
Dynamic Systems ◽  
Time Management ◽  
Analytical Modeling ◽  
Optimization Methods ◽  
Performance Criteria ◽  
Transport Systems ◽  
Intelligent Transport Systems ◽  
Intelligent Transport ◽  
Logistics Systems ◽  
And Storage

The suggested model for determining the optimal trajectories of moving consignments that form cargo flows in transport and logistics systems (TLS) is based on a combination of dynamic systems and multi-criteria optimization methods. This approach develops a methodology for solving applied control problems in TLS. Its main result is the principle of finding the maximum, subject to the criterion preferences, based on methods for determining the set of effective plans (Pareto set). At the same time, management in TLS should form models of cargo traffic taking into account the location of transport and storage complexes within the boundaries of the system being studied or designed, as well as should provide for movement of consignments according to specified performance criteria and the most rational trajectories using analytical modeling. Analytics together with digital technologies help to consider the core sense of TLS as of a subsystem of intelligent transport systems.

scholarly journals A Set of Conventional and Multiplex Real-Time PCR Assays for Direct Detection of Elsinoë fawcettii, E. australis, and Pseudocercospora angolensis in Citrus Fruits

Plant Disease ◽  
2019 ◽  
Vol 103 (2) ◽  
pp. 345-356 ◽  
Author(s):  
Yosra Ahmed ◽  
Jacqueline Hubert ◽  
Céline Fourrier-Jeandel ◽  
Megan M. Dewdney ◽  
Jaime Aguayo ◽  
...  
Keyword(s):  
Real Time ◽  
Real Time Pcr ◽  
Culture Media ◽  
Direct Detection ◽  
Elongation Factor ◽  
Single Copy ◽  
The United States ◽  
Performance Criteria ◽  
In Planta ◽  
Conventional Pcr

Elsinoë fawcettii, E. australis, and Pseudocercospora angolensis are causal agents of citrus scab and spot diseases. The three pathogens are listed as quarantine pests in many countries and are subject to phytosanitary measures to prevent their entry. Diagnosis of these diseases based on visual symptoms is problematic, as they could be confused with other citrus diseases. Isolation of E. fawcettii, E. australis, and P. angolensis from infected tissues is challenging because they grow slowly on culture media. This study developed rapid and specific detection tools for the in planta detection of these pathogens, using either conventional PCR or one-tube multiplex real-time PCR. Primers and hybridization probes were designed to target the single-copy protein-coding gene MS204 for E. fawcettii and E. australis and the translation elongation factor (Tef-1α) gene for P. angolensis. The specificity of the assays was evaluated by testing against DNA extracted from a large number of isolates (102) collected from different citrus-growing areas in the world and from other hosts. The newly described species E. citricola was not included in the specificity test due to its unavailability from the CBS collection. The detection limits of conventional PCR for the three pathogens were 100, 100, and 10 pg μl−1 gDNA per reaction for E. fawcettii, E. australis, and P. angolensis, respectively. The quadruplex qPCR was fully validated assessing the following performance criteria: sensitivity, specificity, repeatability, reproducibility, and robustness. The quadruplex real-time PCR proved to be highly sensitive, detecting as low as 243, 241, and 242 plasmidic copies (pc) μl−1 of E. fawcettii, E. australis, and P. angolensis, respectively. Sensitivity and specificity of this quadruplex assay were further confirmed using 176 naturally infected citrus samples collected from Ethiopia, Cameroon, the United States, and Australia. The quadruplex assay developed in this study is robust, cost-effective, and capable of high-throughput detection of the three targets directly from citrus samples. This new detection tool will substantially reduce the turnaround time for reliable species identification and allow rapid response and appropriate action.

Wildfires increasingly impact rivers and water supplies

2021 ◽  
Author(s):  
Ashley Webb
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Citizen Science ◽  
Water Monitoring ◽  
Rapid Response ◽  
River Systems ◽  
Water Supplies ◽  
Changing Climate

Wildfires are increasing in frequency, severity, duration and extent with potentially catastrophic impacts on river systems and water supplies. Scientists are quantifying these impacts and studying the underlying factors driving the susceptibility of landscapes to post-fire erosion in a changing climate. Recommended actions include: (1) rapid response water monitoring during and after fires, (2) citizen science and (3) machine learning to provide communities with data and predicted impacts in near real-time.

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