Masters Theses


"Stormwater detention has become a standard mitigating measure used in engineering practice for some of the adverse effects of urban development. Design of these detention facilities involves a tedious trial and error process. To simplify this, a spreadsheet program called Dual Outlet Detention Design Optimizer or DODDO is developed to automate the procedure for choosing a feasible outlet configuration that will regulate runoff while minimizing detention storage. The required storage and outlet, composed of a low water pipe (submerged orifice) and an overflow weir, is designed according to multiple probability or recurrence interval attenuation criteria. The optimal configuration search procedure numerically solves a dimensionless form of the basic continuity equation for dimensionless storage and outflow parameters that are controlled by ratios of allowable basin outflow to post-development peak inflow. Also dimensionless, the basin inflow hydrograph is represented by an equation that uses a shape adjustment factor to better reflect the true inflow volumes. The tedious trial and error computations are eliminated by functional relationships that optimize the low water pipe size and basin storage capacity. The optimization of the weir crest configuration is also simplified through automation. The program optimization and routing results are evaluated using a calibrated XP-SWMM model. A DODDO design configuration is also compared and contrasted to a previously designed outlet structure modification optimized using the same XP-SWMM calibrated model"--Abstract, page iii.


Morris, Charles Darwin

Committee Member(s)

Westphal, Jerome A.
Hilgers, Michael Gene


Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Civil Engineering


University of Missouri--Rolla

Publication Date

Summer 2000


ix, 190 pages

Note about bibliography

Includes bibliographical references (pages 188-189).


© 2000 Joel Phillip Asunskis, All rights reserved.

Document Type

Thesis - Restricted Access

File Type




Thesis Number

T 7734

Print OCLC #


Electronic OCLC #


Link to Catalog Record

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