Abstract

The digital elevation model (DEM) has been widely used in hydrological analysis and flood assessment. While DEMs, derived from airborne light detection and ranging (lidar) technology, have sufficient accuracy for large-scale floodplain management practices, their utility in supporting high-resolution hydrologic simulations is disputable due to their limitations in resolution. In contrast, terrestrial laser scanning (TLS) is capable of conducting very dense point measurements, especially in close distance, generating high-resolution point clouds that may support high-fidelity hydrologic modeling for small areas. The study takes a case study approach in which we delineate boundaries of a catchment area for a small-scale (1,450  m2) stormwater management measure (porous parking lot) under different DEM resolutions generated from TLS with the end goal of understanding the utility of TLS for high-fidelity hydrologic modeling. Results showed that the 0.03-m resolution provided an accurate representation of terrain surface. Larger raster cell–size DEMs generated greater uncertainties on boundaries and streamlines. DEMs with resolutions below 0.2  m have small differences of 1%, while larger cell–size DEMs (0.96  m) could have as high as 13%. Excluding the depressed parking lot of a constrained area, the remaining drainage area could be overestimated by 43% at a 0.96-m resolution. These findings indicate that a fine resolution DEM is necessary for quantifying the drainage area of small flat watersheds.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request, including but not limited to:
1.
Point cloud data set obtained from TLS, and
2.
Point cloud data set obtained from USGS 3D Elevation Program (USGS Lidar Point Cloud NJ SdL5 2014 18TWK640955 LAS 2015, https://www.sciencebase.gov/catalog/item/5fdf00afd34e30b9123e5ff4).

Acknowledgments

This research was conducted as a part of the community resiliency project sponsored by the National Fish and Wildlife Foundation. The graduate study of the first author (Zikai Zhou) was also financially supported by Rutgers University.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 26Issue 7July 2021

History

Received: Aug 26, 2020
Accepted: Feb 9, 2021
Published online: Apr 20, 2021
Published in print: Jul 1, 2021
Discussion open until: Sep 20, 2021

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Zikai Zhou, S.M.ASCE [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Rutgers Univ.–New Brunswick, 500 Bartholomew Rd., Piscataway, NJ 08854. Email: [email protected]
Diego M. Meneses, S.M.ASCE [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Rutgers Univ.–New Brunswick, 500 Bartholomew Rd., Piscataway, NJ 08854. Email: [email protected]
Yi Yu, S.M.ASCE [email protected]
Graduate Student, Dept. of Civil and Environmental Engineering, Rutgers Univ.–New Brunswick, 500 Bartholomew Rd., Piscataway, NJ 08854. Email: [email protected]
Jie Gong, Ph.D., M.ASCE [email protected]
Associate Professor, Dept. of Civil and Environmental Engineering, Rutgers Univ.–New Brunswick, 500 Bartholomew Rd., Piscataway, NJ 08854. Email: [email protected]
P.E.
D.WRE
Professor, Dept. of Civil and Environmental Engineering, Rutgers Univ.–New Brunswick, 500 Bartholomew Rd., Piscataway, NJ 08854 (corresponding author). ORCID: https://orcid.org/0000-0001-5654-7740. Email: [email protected]

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