Title: | Assessing watershed-scale stormwater green infrastructure response to climate change in Clarksburg, Maryland |
Authors: | Giese, E., A. Rockler A. Shirmohammadi and M.A. Pavao-Zuckerman |
Year: | 2019 |
Journal: | Journal of Water Resources Planning and Management |
Volume (Issue): | 145(10) |
Pages: | |
Article ID: | 05019015 |
DOI: | 10.1061/(ASCE)WR.1943-5452.0001099 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic only |
Primary Application Category: | urban stormwater and/or BMP assessment |
Secondary Application Category: | hydrologic assessment |
Watershed Description: | 1.2 km^2 Tributary 104 and 31 km^2 Crystal Rock, which are both tributaries of Seneca Creek (and larger Potomac River system) located in the Montgomery County, Maryland, U.S. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Abstract: | Stormwater green infrastructure (GI) practices are implemented in urban watersheds to control stormwater runoff, reduce pollution, and adapt to climate change. This study evaluated the robustness of a watershed with stormwater GI and a watershed with traditional
stormwater controls in Clarksburg, Maryland, to future climate change. The USDA Soil and Water Assessment Tool (SWAT) was calibrated
to USGS daily streamflow data from 2011 to 2016 to evaluate watershed-scale daily and seasonal runoff responses to multiple future climate
and management scenarios. The stormwater GI watershed had less runoff than the traditional management watershed in climate change
scenarios for most days with rainfall (>98% of days). However, the climate change scenarios resulted in increased seasonal fall and winter
runoff compared to current conditions in both watersheds. Simulated expansion of GI implementation reduced runoff in both watersheds
under future climate scenarios. This study assesses climate robustness of existing stormwater GI at a watershed scale and confirms previous
evaluations of hypothetical stormwater GI effectiveness for adapting watersheds to climate change. |
Language: | English |
Keywords: | Stormwater management; Hydrologic modeling; Bioretention; Green stormwater management practices. |