Configuring a seismographic network for optimal monitoring of fault lines and multiple sources

1995 ◽  
Vol 85 (6) ◽  
pp. 1847-1857
Author(s):  
David M. Steinberg ◽  
Nitzan Rabinowitz ◽  
Yair Shimshoni ◽  
Daphna Mizrachi
Keyword(s):  
Statistical Theory ◽  
Experimental Design ◽  
Point Source ◽  
High Precision ◽  
Optimality Criterion ◽  
Network Configuration ◽  
Multiple Sources ◽  
Optimal Monitoring ◽  
Optimal Network ◽  
Seismographic Network

Abstract The geometric configuration of a seismographic network has important consequences for the ability to determine hypocenters with high precision. We present a method for optimal configuration when the network must monitor a system of faults. Our optimality criterion is drawn from the statistical theory of experimental design and can be effeciently maximized using an extension of the DETMAX algorithm. Our work generalizes that of Rabinowitz and Steinberg (1990), which treated the problem of optimal network configuration for monitoring a point source.

scholarly journals A Hybrid Evolutionary Approach to Design Off-Grid Electrification Projects with Distributed Generation

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
J. Avilés ◽  
J. C. Mayo-Maldonado ◽  
O. Micheloud
Keyword(s):  
Distributed Generation ◽  
Network Topology ◽  
Optimization Technique ◽  
Optimal Number ◽  
Optimal Placement ◽  
Evolutionary Approach ◽  
Power Losses ◽  
Network Configuration ◽  
Optimal Network ◽  
Particle Swarm Optimization Technique

A hybrid evolutionary approach is proposed to design off-grid electrification projects that require distributed generation (DG). The design of this type of systems can be considered as an NP-Hard combinatorial optimization problem; therefore, due to its complexity, the approach tackles the problem from two fronts: optimal network configuration and optimal placement of DG. The hybrid scheme is based on a particle swarm optimization technique (PSO) and a genetic algorithm (GA) improved with a heuristic mutation operator. The GA-PSO scheme permits finding the optimal network topology, the optimal number, and capacity of the generation units, as well as their best location. Furthermore, the algorithm must design the system under power quality requirements, network radiality, and geographical constraints. The approach uses GPS coordinates as input data and develops a network topology from scratch, driven by overall costs and power losses minimization. Finally, the proposed algorithm is described in detail and real applications are discussed, from which satisfactory results were obtained.

scholarly journals A Novel Enhanced Quantum PSO for Optimal Network Configuration in Heterogeneous Industrial IoT

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Sheetal N. Ghorpade ◽  
Marco Zennaro ◽  
Bharat S. Chaudhari ◽  
Rashid A. Saeed ◽  
Hesham Alhumyani ◽  
...  
Keyword(s):  
Network Configuration ◽  
Optimal Network ◽  
Industrial Iot ◽  
Quantum Pso

Determinants of the Optimal Network Configuration and the Implications forCoordination

2012 ◽  
Vol 2012 (1) ◽  
pp. 12291
Author(s):  
Patricia Deflorin ◽  
Helmut Dietl ◽  
Markus Lang ◽  
Eric Lucas
Keyword(s):  
Network Configuration ◽  
Optimal Network

On the Use of Point Source Solutions for Forced Air Cooling of Electronic Components—Part I: Thermal Wake Models for Rectangular Heat Sources

2003 ◽  
Vol 125 (2) ◽  
pp. 226-234 ◽  
Author(s):  
Alfonso Ortega ◽  
Shankar Ramanathan
Keyword(s):  
Temperature Field ◽  
Point Source ◽  
Three Dimensional ◽  
Air Cooling ◽  
Heat Sources ◽  
Multiple Sources ◽  
One Dimensional ◽  
Forced Air ◽  
The Individual ◽  
Thermal Wake

Analytical solutions are presented for the temperature field that arises from the application of a source of heat on an adiabatic plate or board when the fluid is represented as a uniform flow with an effective turbulent diffusivity, i.e., the so-called UFED flow model. Solutions are summarized for a point source, a one-dimensional strip source, and a rectangular source of heat. The ability to superpose the individual kernel solutions to obtain the temperature field due to multiple sources is demonstrated. The point source solution reveals that the N−1 law commonly observed for the centerline thermal wake decay for three-dimensional arrays is predicted by the point source solution for the UFED model. Examination of the solution for rectangular sources shows that the thermal wake approaches the point source behavior downstream from the source, suggesting a new scaling for the far thermal wake based on the total component power and a length scale given by ε/U. The new scaling successfully collapses the thermal wake for several sizes of components and provides a fundamental basis for experimental observations previously made for arrays of three-dimensional components.

Non-Point Source Pollutants From Motor Vehicles

2019 ◽  
pp. 227-238
Author(s):  
Rajagopalan Varadarajan ◽  
Abdul Majeeth Bathusha
Keyword(s):  
Activated Carbon ◽  
Adverse Effects ◽  
Point Source ◽  
Atmospheric Pollution ◽  
Fossil Fuels ◽  
Motor Vehicles ◽  
Gaseous Pollutants ◽  
Multiple Sources ◽  
Vehicular Pollution ◽  
Unburned Hydrocarbons

Motor vehicles emit gaseous pollutants from incomplete carbon reactions, unburned hydrocarbons, or other elements present in the fuel or air during combustion of fossil fuels. Atmospheric pollution is caused by multiple sources, making it a non-point source for the pollutants. The adverse effects of vehicular pollution are physical, chemical, and socio-economic in nature and are to be mitigated by the process of education, rules, and policies. A study has been done with the activated carbon made from Proposis cineria for mitigation.

Spatial Distribution of Non-Point Source Pollution in Nansihu Watershed Based on SWAT Model

2012 ◽  
Vol 518-523 ◽  
pp. 2812-2815
Author(s):  
Shuang Li ◽  
Zu Lu Zhang ◽  
Yuan Yuan Sun
Keyword(s):  
Spatial Distribution ◽  
Point Source ◽  
High Precision ◽  
Swat Model ◽  
The Other ◽  
Pollution Load ◽  
Point Source Pollution ◽  
Nps Pollution ◽  
Dissolved Form ◽  
Non Point Source Pollution

Non-point source (NPS) pollution load of N and P in Nansihu watershed were simulated based on SWAT model. The Sihe watershed was selected as typical watershed for east of the lake, and the Dongyu watershed was selected as typical watershed for west of lake. The two typical watersheds were simulated respectively, and then the models were used to simulate the other rivers basins in the Nansihu watershed. Data collected in the period from 2001 to 2007 was used for calibration, while data collected from 2008 to 2010 was used for validation. Then the spatial distribution of NPS pollution in Nansihu watershed (2010) was simulated with the validated model. The result indicated that the SWAT model could simulate the no-point source pollution in Nansihu watershed with high-precision. The watershed was polluted seriously with N and P. The TN was mainly composed of dissolved form, and the TP was mainly composed of adsorbed form.

Sign in / Sign up

Export Citation Format

Share Document