Sentence examples for prediction of environmental from inspiring English sources

Particular emphasis is attributed on methodologies applicable for the prediction of environmental and operational loads from waves, wind, current, ice, slamming, sloshing and operational factors.

Monitoring, assessment and prediction of environmental risks that chemicals pose demand rapid and accurate diagnostic assays.

In order to improve our understanding and prediction of environmental thresholds leading to undesirable change on coral reefs, it seems logical to draw upon evidence collected at spatial scales appropriate to observe reef assemblages through time (∼100 500 matchingching the majority of existing management, policy, and perception.

Thus, accurate estimation and/or prediction of environmental distribution coefficients are essential.

Where facilities exist, information on returns from pharmacies and hospitals could also be incorporated to provide a more effective method for the prediction of environmental concentrations.

Mr Simon, a libertarian, was sceptical of the gloomy claims made by Mr Ehrlich, an ecologist best known for his predictions of environmental chaos and human suffering that would result from the supposed "population bomb".

Examples of large-scale predictions of environmental concentrations of many chemicals have already been presented in [52, 53].

Predictions of environmental concentrations based on modelling approaches could recently be confirmed by measured concentrations in the field.

These uncertainties include the lack of suitable methods to detect any potential harm to human health and the lack of accurate predictions of environmental impacts.

The case studies presented here suggest that predictions of environmental variables ranging from temperature to water inflows and levels to the motion of floating ice in the ocean all have value to different participants in the Canadian energy industry.

We investigate how the uncertainty stemming from disordered porous media that display long-range correlation in the hydraulic conductivity (K) field propagates to predictions of environmental performance metrics (EPMs).