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    Modeling Seasonal Performance of Operational Urban Rain Garden Using HYDRUS-1D

    Source: Journal of Sustainable Water in the Built Environment:;2021:;Volume ( 007 ):;issue: 003::page 04021005-1
    Author:
    William Nichols
    ,
    Andrea Welker
    ,
    Robert Traver
    ,
    Min-cheng “Peter” Tu
    DOI: 10.1061/JSWBAY.0000941
    Publisher: 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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      Modeling Seasonal Performance of Operational Urban Rain Garden Using HYDRUS-1D

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4270784
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    contributor authorWilliam Nichols
    contributor authorAndrea Welker
    contributor authorRobert Traver
    contributor authorMin-cheng “Peter” Tu
    date accessioned2022-02-01T00:02:01Z
    date available2022-02-01T00:02:01Z
    date issued8/1/2021
    identifier otherJSWBAY.0000941.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4270784
    description abstractAccounting 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.
    publisherASCE
    titleModeling Seasonal Performance of Operational Urban Rain Garden Using HYDRUS-1D
    typeJournal Paper
    journal volume7
    journal issue3
    journal titleJournal of Sustainable Water in the Built Environment
    identifier doi10.1061/JSWBAY.0000941
    journal fristpage04021005-1
    journal lastpage04021005-9
    page9
    treeJournal of Sustainable Water in the Built Environment:;2021:;Volume ( 007 ):;issue: 003
    contenttypeFulltext
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