Stormwater Symposium

Oral

393965 - Assess Sediment Load and Transport in Storm Drain System Using Diffusion Wave Model for Predicting Sheet Flow

Wednesday, June 6
2:00 PM - 3:30 PM
Location: Mirage Room
Co-Authors: Milad Ketabdar, 211 Redbird Lane, Beaumont, TX – Lamar University; Mien Jao, 211 Redbird Lane, Beaumont, TX USA – Lamar University; Kenrick Aung, 211 Redbird Lane, Beaumont, TX USA – Lamar University

Sedimentation of fine muddy material in coastal plain shallow-grade storm drain system has been recognized for many years although self-cleansing minimum critical velocity or critical shear stress was specified in the local design manual. However, recent studies showed that the sediment load from the runoff, sediment characteristics, and hydraulic behaviour of the drain system play important roles to properly represent the ability of drain flows to transport sediments. It is necessity to incorporate the sediment load and drain system characteristics into the design criteria. The objective of the study is to assess the sediment load from runoff under different hydrological and road conditions to better understand the sediment transport mechanics in shallow-grade storm drain system and implement design guidance for self-clean drain system. A diffusion wave model has been developed to simulate hydrodynamics of the sheet flow on the roadway with the curb inlet. The total sediment load is qualified based on the sediment grain size distribution of the sheet flow in the Southeast Texas. An empirical equation of sediment load has been developed as a function of rainfall intensity, road slopes, and inlet characteristics. The case study in Southeast Texas have demonstrated that the self-cleaning drain system needs to incorporate the sediment load from runoff and other sources, pipe size and roughness, water depth in the pipe to determine the flow velocity or shear stress. The minimum flow velocity of 1.2m/s and minimum shear stress of 3.6N/m2 is recommended for self-cleaning drain system in the coastal plain shallow-grade region.

Qin Qian


Lamar University

Dr. Qin Qian is an associate professor in the Department of Civil and Environmental Engineering. Her work focuses on the fate and transport of pollutant in naturally water bodies, water resource monitor and management, and advanced design applications in water resource engineering. Dr. Qian served as a Director of Overseas Chinese Environmental Engineers and Scientists Association (OCEESA), a Committee Member of ASCE Groundwater Hydrology Committee, a Technical Assistant of the Technical Advisory Panel for the Research Management Committee 5 (RMC-5) of the Texas Department of Transportation and a Board Member for the Gulf Coast Recovery and Protection District. She also worked with local agencies on Water Resource Monitoring and Management issues to allow better ecological restoration design, and preservation of aquatic ecosystems. Dr. Qian teaches hydraulics, fluid mechanics, engineering hydrology, hydraulic engineering, and models of hydrological system. She is also an active proponent of STEM education through her research activities and educational outreaches.

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