Watershed Surface Characteristics and Storm Distribution Impactson Low-order Urban Stream Hydrology Response

This research observed and modeled rainfall-runoff processes for six ungauged low-order urban watersheds within the Louisville Metro area, KY for a variety of storm distributions. We collected rainfall/runoff event field data while surface biophysical data in the form of gridded elevation, landcover and soil type were also collected and processed for each watershed. These datasets enabled an adjustment of Green-Ampt infiltration loss and NRCS unit-hydrograph transform method time parameters to simulate runoff using the HEC-HMS rainfall-runoff model. Results indicated that impervious cover and watershed shape/hydraulic length most strongly influenced hydrograph responses, while positive-skew storm distributions resulted in higher peak runoff output. Modeling output suggested that while some calibration was required as a function of surface characteristics, the methods employed may allow other ungauged low-order watersheds to be modeled and assessed in terms of hydrologic response to various storm scenarios.

Publication Details

Journal
DigitalCommons - Kennesaw State University (Kennesaw State University)
Published
2024-09-18
Primary Topic
Hydrology and Watershed Management Studies
Type
article
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article

Watershed Surface Characteristics and Storm Distribution Impactson Low-order Urban Stream Hydrology Response

DigitalCommons - Kennesaw State University (Kennesaw State University)
Hydrology and Watershed Management Studies
article

Watershed Surface Characteristics and Storm Distribution Impactson Low-order Urban Stream Hydrology Response

article en

Abstract

This research observed and modeled rainfall-runoff processes for six ungauged low-order urban watersheds within the Louisville Metro area, KY for a variety of storm distributions. We collected rainfall/runoff event field data while surface biophysical data in the form of gridded elevation, landcover and soil type were also collected and processed for each watershed. These datasets enabled an adjustment of Green-Ampt infiltration loss and NRCS unit-hydrograph transform method time parameters to simulate runoff using the HEC-HMS rainfall-runoff model. Results indicated that impervious cover and watershed shape/hydraulic length most strongly influenced hydrograph responses, while positive-skew storm distributions resulted in higher peak runoff output. Modeling output suggested that while some calibration was required as a function of surface characteristics, the methods employed may allow other ungauged low-order watersheds to be modeled and assessed in terms of hydrologic response to various storm scenarios.

DigitalCommons - Kennesaw State University (Kennesaw State University)
Sustainable cities and communities
Openalex Percentile: Top 55%
Hydrology and Watershed Management Studies
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Watershed Surface Characteristics and Storm Distribution Impactson Low-order Urban Stream Hydrology Response · DigitalCommons - Kennesaw State University (Kennesaw State University) (2024) | TGRS Research Map | TGRS