This is a follow-up to my previous blog post #1 about 10x engineering and water resources. A shrewd reader examining the numbers might ask, “With only 10 machines used, how did you achieve more than a ...

Public cloud infrastructures, despite their massive scale and resources, consistently fall short in meeting the unique demands of HEC-RAS, RASMapper and 2D models. The scale efficiencies of cloud ...

Center for Water Engineering and Management, Central University of Jharkhand, Ranchi, India.. For flood forecasting, flood plane mapping and flood volume estimation, various hydrodynamic models, based ...

ABSTRACT: Channel roughness is considered as the most sensitive parameter in development of hydraulic models for flood forecasting and flood inundation mapping. Hence, it is essential to calibrate the ...