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Hydrologic monitoring and analysis of porous parking lot in Linden, New Jersey
Descriptive
TitleInfo
Title
Hydrologic monitoring and analysis of porous parking lot in Linden, New Jersey
Name
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Meneses
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Diego Martin
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Diego Martin Meneses
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author
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Guo
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Qizhong
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Qizhong Guo
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Advisory Committee
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chair
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(type = personal)
NamePart
(type = family)
Mazurek
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(type = given)
Monica
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Monica Mazurek
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Advisory Committee
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(authority = RULIB)
internal member
Name
(type = personal)
NamePart
(type = family)
Wang
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(type = given)
Ruo-Qian
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Ruo-Qian Wang
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Advisory Committee
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internal member
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Rutgers University
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degree grantor
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School of Graduate Studies
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school
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Text
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theses
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2020
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2020-05
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2020
Language
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English
Abstract
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Impervious surfaces have long been implicated in the increase of stormwater runoff in urban watersheds, leading to flooding even during small to moderate rainfall events. Replacing impervious surfaces with porous pavement could restore the predevelopment hydrology and improve stormwater management. In this study, hydrologic observation and analysis were performed for a 1,450 m^2 porous parking lot located in Linden, New Jersey. Submerged velocity and water level sensors were tested and calibrated before and after data collection. These measurements include effective data from 16 rainfall events to quantify runoff volume, peak flow rate and lag to peak flow. The methods used in the analysis include: the NRCS Curve Number (CN) Method and the Rational Method. The watershed boundaries were delineated through high-resolution land surveys. 3D terrain surface point cloud datasets were obtained by Terrestrial laser scanning (TLS). The datasets generated were imported to the open-source software CloudCompare to perform point-cloud filtering analysis. ArcGIS tools were used to create a Digital Elevation Model (DEM) to perform drainage area delineation analysis. Results from the DEM delineation analysis showed an extra 25% drainage area outside the parking lot itself. Sensor analysis and calibration showed that the sensor works with high accuracy at water depths above 1.4 inches. Linear regression between measured and predicted runoff volume showed a R^2=0.90. The comparison showed a relative variation of 3% with a CN of 95 and 18% with a CN of 84. The rational method showed an overestimate of the peak flow reduction of 30% with a R^2=0.80. The analysis of October 27th rainfall event concluded that the incorporation of the outlet structure in October 2019 increased lag to peak by 34 minutes and reduced the peak flow rate by 72%.
The study demonstrated that a high-resolution drainage area delineation is necessary for small watersheds as the landscape varies over time. The CN of 95 resulted in a better fit for this study, showing the importance of the CN selection as soil conditions and properties are unique. The porous parking lot showed a significant peak flow reduction and a long lag of peak flow, contributing to flooding mitigation.
The study demonstrated that a high-resolution drainage area delineation is necessary for small watersheds as the landscape varies over time. The CN of 95 resulted in a better fit for this study, showing the importance of the CN selection as soil conditions and properties are unique. The porous parking lot showed a significant peak flow reduction and a long lag of peak flow, contributing to flooding mitigation.
Subject
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Topic
Pavements, Porous -- New Jersey -- Linden
Subject
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Topic
Civil and Environmental Engineering
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Rutgers University Electronic Theses and Dissertations
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ETD_10786
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application/pdf
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text/xml
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1 online resource (xii, 63 pages) : illustrations
Note
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M.S.
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Includes bibliographical references
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School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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doi:10.7282/t3-nrsj-ze58
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(authority = ExL-Esploro)
ETD graduate
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Rights
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Meneses
GivenName
Diego
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Permission or license
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2020-04-20 16:14:04
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Name
Diego Meneses
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Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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2020-05-31
DateTime
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2020-11-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after November 30th, 2020.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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