Sentence examples for data catchment from inspiring English sources

If the proportion of all events attributable to multievent practitioners is small, or data catchment relates to a relatively small population (eg, a single hospital), this would undermine the usefulness and feasibility of risk prediction.

Some statin-treated patients apparently did not present for surveillance measurements, some may have emigrated outside our data catchment area, some died, and some started statins late in the study period and were followed for only a short time.

While we excluded ICD-9 documented Chlamydia and gonococcal infections, our methods potentially misses both asymptomatic chlamydial infections and STI cases diagnosed outside of military data catchment (such as through a public health department).

The results show that Dam Failure Risk can be estimated by using the variables Dam Height, Dam Length, Maximum Flood Water Volume, Flood Water Surface Area, Mean Annual Rainfall (based on Met Office data), Altitude, Catchment Size, Urban Catchment Proportion, Forest Catchment Proportion and Managed Maximum Flood Water Volume.

The relationship between the input variables in the model (i.e. meteorological data and catchment initial conditions) and its overall structure can be explained in terms of catchment hydrological processes.

Accurate conceptual models of groundwater systems are essential for correct interpretation of monitoring data in catchment studies.

All parameters are defined locally in each computational cell so that all available data on catchment variability can be incorporated directly into the model.

The Verlorenvlei estuarine lake (RAMSAR #525) on the west coast of South Africa is a data poor catchment where rainfall records have been supplemented with farmer's rainfall records.

These results are useful for identification of appropriate model complexity at individual stations, patterns across regions and sub-regions, interpolation and extrapolation of data, and catchment classification.

Long-term progressive soil development during the Holocene was replaced abruptly by an intense period of regressive pedogenesis during the last 50 years, which is deduced from published 137Cs data and catchment scale mass balances.

We provide some answers to ten reasonably generic questions using the Morris and Sobol SA methods, including to what extent sensitivities are dependent on parameter ranges selected, length of data period, catchment response type, model structures assumed and climatic forcing.