Beijing, China

Maohua Le

This inventor holds 1 USPTO granted patent. Top assignee: China Institute of Water Resources and Hydropower Research. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Maohua Le. Retrieved from https://idiyas.com/inventor/maohua-le

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Maohua Le - Innovator in Reservoir Sediment Management

Introduction

Maohua Le is an inventor based in Beijing, China. He has made significant contributions to the field of reservoir management through his innovative ideas. His work focuses on optimizing the regulation of sediment discharging in reservoirs, which is crucial for maintaining water quality and managing flood risks.

Latest Patent Applications

Maohua Le has submitted a patent application titled "METHOD AND DEVICE FOR OPTIMIZING REGULATION OF RESERVOIR SEDIMENT DISCHARGING BASED ON ASYNCHRONOUS PROPAGATION CHARACTERISTIC BETWEEN FLOOD PEAK AND SEDIMENT PEAK." This application outlines a method and device that includes determining a relation curve between a dam front water depth and a reservoir capacity. It also involves calculating the time length for sediment peak propagation and its lag behind the flood peak, based on hydrologic features. Additionally, the application describes acquiring real-time sediment concentration and generating a man-made flood wave based on the determined time lengths.

Conclusion

Maohua Le's innovative approach to reservoir sediment management highlights the importance of optimizing sediment discharging processes. His contributions have the potential to enhance water management practices and improve environmental outcomes.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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