Revolutionizing Flow Measurement: Smart Conveyance Estimation System (CES) for Precision and Efficiency
Year: 2025
Type: article
Abstract: — This study focuses on the computation of flow using the Conveyance Estimation System (CES). It presents findings derived from field measurements conducted in frequently flooded natural rivers, including stage-discharge relationships, variations in flow resistance with depth, apparent friction factors, and composite friction factors. The results highlight the complexities of flow resistance in natural rivers, mainly due to interactions between the main channel and floodplain flow. Accurately estimating conveyance plays a crucial role in flood management, water level prediction, and flood defense planning. Most river modeling software incorporates conveyance estimation methods, many of which are based on research conducted over five decades ago, often neglecting recent advancements. In 2001, the Environment Agency initiated a scoping study to reduce uncertainty in conveyance estimation. This paper discusses key conclusions from that study, addressing the diverse needs of users and gaps in existing knowledge. Additionally, it outlines a targeted research program aimed at enhancing river capacity management. Currently, this research initiative is being carried out in collaboration with academic researchers, industry experts, and stakeholders. Critical factors under investigation include the impact of riverine vegetation, the influence of natural or restructured channels, and interactions between river channels and floodplains. The program’s ultimate goal is to develop an open-source CES, integrated with modeling tools. This system features a roughness advisor that grants access to extensive knowledge on river resistance estimation. Furthermore, the study examines flow parameters such as depth-averaged velocity, bed shear stress distribution, stage-discharge relationships, Froude number, and average velocity conveyance concerning flow depth. The findings reveal how these parameters vary under different river conditions.
Author: Akash Bharatkumar Patel
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409653950