Modeling Seasonal Performance of Operational Urban Rain Garden Using HYDRUS-1DSource: Journal of Sustainable Water in the Built Environment:;2021:;Volume ( 007 ):;issue: 003::page 04021005-1DOI: 10.1061/JSWBAY.0000941Publisher: ASCE
Abstract: Accounting for seasonal effects on rain garden performance can be challenging in colder regions. Changes in temperature cause changes in the viscosity of water, infiltration rates, and evapotranspiration rates. A variably saturated hydrologic model (HYDRUS-1D) was calibrated and validated using observed ponding depth and soil moisture data from two different storm events for a rain garden owned and operated by the Philadelphia Water Department (PWD). Warm and cold seasons were simulated with typical meteorological data and temperature-adjusted saturated hydraulic conductivity values. Design storm simulations confirmed that the rain garden is over-performing. By increasing the loading ratio (i.e., the ratio of drainage area to rain garden footprint) in the model, the maximum capacity of the rain garden was estimated to be 43% more than the design in the cold season, and 110% more than that in the warm season. If the maximum allowable ponding was raised to accommodate more water depth, the rain garden could have a maximum capacity 205% larger than the design while still meeting the PWD’s 24-h drain down requirement. This study demonstrates (1) how to develop a simple one-dimensional (1D) model that can reasonably account for seasonal effects on rain garden performance; and (2) the use of this model to quantify system capacity year-round and ultimately inform regulations and design.
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contributor author | William Nichols | |
contributor author | Andrea Welker | |
contributor author | Robert Traver | |
contributor author | Min-cheng “Peter” Tu | |
date accessioned | 2022-02-01T00:02:01Z | |
date available | 2022-02-01T00:02:01Z | |
date issued | 8/1/2021 | |
identifier other | JSWBAY.0000941.pdf | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4270784 | |
description abstract | Accounting for seasonal effects on rain garden performance can be challenging in colder regions. Changes in temperature cause changes in the viscosity of water, infiltration rates, and evapotranspiration rates. A variably saturated hydrologic model (HYDRUS-1D) was calibrated and validated using observed ponding depth and soil moisture data from two different storm events for a rain garden owned and operated by the Philadelphia Water Department (PWD). Warm and cold seasons were simulated with typical meteorological data and temperature-adjusted saturated hydraulic conductivity values. Design storm simulations confirmed that the rain garden is over-performing. By increasing the loading ratio (i.e., the ratio of drainage area to rain garden footprint) in the model, the maximum capacity of the rain garden was estimated to be 43% more than the design in the cold season, and 110% more than that in the warm season. If the maximum allowable ponding was raised to accommodate more water depth, the rain garden could have a maximum capacity 205% larger than the design while still meeting the PWD’s 24-h drain down requirement. This study demonstrates (1) how to develop a simple one-dimensional (1D) model that can reasonably account for seasonal effects on rain garden performance; and (2) the use of this model to quantify system capacity year-round and ultimately inform regulations and design. | |
publisher | ASCE | |
title | Modeling Seasonal Performance of Operational Urban Rain Garden Using HYDRUS-1D | |
type | Journal Paper | |
journal volume | 7 | |
journal issue | 3 | |
journal title | Journal of Sustainable Water in the Built Environment | |
identifier doi | 10.1061/JSWBAY.0000941 | |
journal fristpage | 04021005-1 | |
journal lastpage | 04021005-9 | |
page | 9 | |
tree | Journal of Sustainable Water in the Built Environment:;2021:;Volume ( 007 ):;issue: 003 | |
contenttype | Fulltext |