Sentence examples for resources regions from inspiring English sources
The resulting regional regression models summarized for major US water resources regions 1 8, exhibited prediction R2 values ranging from 76.9% to 92.7% and corresponding average model prediction errors ranging from 56.5% to 124.3%.
To illustrate our approach and see how it enhances our flood-magnitude estimations, we study a large number of watersheds chosen from two adjacent water resources regions in the United States.
Taking 10 water resource regions for regional scale analysis, this study also evaluated the drought variations for these regions over the past five decades.
The western half is a remote – but large and rich in natural resources – region of Indonesia, governed by faraway Jakarta.
To address this, a mathematical approach is proposed in this study and its effectiveness in estimating flood quantiles relative to DFA and TS is demonstrated through Monte-Carlo simulation experiments and case study on Mid-Atlantic water resources region, USA.
This review examines whether TAVR can be applicable in low-resource regions across the world.
The designation of the regions is based on the nine Farm Resource Regions.
And even these limited resource regions are being further stressed by human population growth.
This study also evaluates drought variations for 10 water resource regions.
In addition, the nine resource regions delineated by the USDA are incorporated.
