Sentence examples for estimates of infiltration from inspiring English sources

Despite their significance to alluvial aquifer water balances, there are few field-derived estimates of infiltration from losing-disconnected rivers.

Experimental data allowed a hydrological model to be calibrated and validated, providing estimates of infiltration depths, which can be valuable for water resources planning and management.

The proposed methodology can provide independent estimates of infiltration in losing-disconnected rivers at a scale suitable for the calibration of regional groundwater models.

In stratified analyses we evaluated the influence of time location patterns, daycare attendance, and modeled estimates of infiltration.

The conventional graphical approach for estimation of infiltration parameters often fails to estimate the infiltration parameters precisely.

Given that heterogeneity of streambed and streambank sediments leads to the possibility that the groundwater mound developed during flow events will be poorly characterised or perhaps missed altogether, incorporating infiltration flux or volume data into the model calibration increases the likelihood of obtaining accurate estimates of stream infiltration during natural flow events.

An infiltration experiment at the transect scale was performed in an ephemeral stream at the time it was dry, resulting in direct estimates of stream infiltration.

Although the cumulative infiltration curves calculated with the MF method fitted well with those obtained using the WLD technique, the laboratory experiments showed that the MF system allowed more accurate estimates of the infiltration rate curves.

Estimates of bedrock infiltration from mountain catchments in the western U.S. are essential to water resource managers because they provide an estimate of mountain block recharge to regional aquifers.

In general, it is concluded that GMDH provides more accurate and reliable estimates of cumulative infiltration (a non-readily available characteristic of soil) with a minimum set of input variables (2 4 input variables) and can be promising strategy to model soil infiltration combining the advantages of ANN and MLR methodologies.

This measurement has been validated against histologically determined lipid content [ 17] and against estimates of fatty infiltration by computed tomography [ 18] and MRI [ 19].