Sentence examples for monitoring network optimization from inspiring English sources

Particle tracking and contaminant concentration was used for monitoring network optimization in this research.

Groundwater monitoring network optimization methods are greatly challenged besides the problems associated with data availability.

Monitoring network optimization using hydrogeological model is eased by prior existence of a hydrogeological model.

By presenting the transient nature or pollution plume, dynamic monitoring network optimization, can potentially eliminate temporal redundancy, proving to be more efficient economically.

The aim of this research is to investigate new approach for spatiotemporal groundwater monitoring network optimization using hydrogeological modeling to improve groundwater monitoring strategies.

The research aimed to investigate a new approach for spatiotemporal groundwater monitoring network optimization using hydrogeological modeling to improve monitoring strategies.

Despite substantial work on groundwater flow and transport models for various applicable purposes (Van Genuchten 1978; Anderson and Cherry 1979; Tripathi 1991), works on the use of such procedures for groundwater quality monitoring network optimizations with transient state of plumes are comparatively sparse (Datta et al. 2009).

With this optimization methodology, the monitoring network can be optimized and the existing strategies for monitoring can be improved to reduce the hassle as well as economic burden for the policy makers.

The spatial optimization gave an account of spatial redundancy in the existing monitoring network while the temporal optimization using simulated groundwater flow velocity recommended appreciable sampling frequencies at potential sampling locations.

For this reason, the effectiveness of each video service must be monitored and measured for verifying its compliance with the system performance requirements, for benchmarking competing service providers, for service monitoring and automatic parameters setting, network optimization, evaluation of customer satisfaction, and adequate price policies setting.

This modeling approach, used for analytical optimization of monitoring network gives the results that can be interactively visualized since it gives 3-D model visualization.