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Sensitivity of Streamflow Metrics to Infiltration‐Based Stormwater Management Networks
Water Resources Research ( IF 4.6 ) Pub Date : 2020-06-29 , DOI: 10.1029/2019wr026555
P. M. Avellaneda 1, 2 , A. J. Jefferson 1
Affiliation  

As stormwater control measures (SCMs) capture surface runoff from impervious areas, a shift in the water balance and flow regime components may emerge in urban watersheds, but the amount of SCM treatment needed to detectably shift these components may vary. We used the Soil and Water Assessment Tool (SWAT) hydrologic model to assess the sensitivity of 16 hydrologic metrics as an increasingly dense rain garden SCM network was applied across the West Creek watershed, near Cleveland, Ohio (USA). As the area treated by SCMs increased, annual baseflow increases matched decreases in surface runoff, while water yield and evapotranspiration changes remained small. The stream's peak response to rainfall decreased with SCM implementation across storm sizes, ranging from the threshold rainfall depth (4.8 mm) to values higher than the design storm of a single rain garden (19 mm). SCM networks draining >20% of directly connected impervious area (DCIA) significantly decreased the magnitude of discharges with a return period of less than 1 year, the percentage of time above mean flow, and flashiness. Recession slopes and annual 1‐ and 7‐day low flows exhibited a slight response that fell within uncertainty limits of the model. Water balance and rainfall response metrics exhibited the greatest sensitivity to different intensities of stormwater management, while infrequent high and low flows were resistant to detectable change even at high levels of SCM treatment when model uncertainty was included.

中文翻译:

流量指标对基于渗透的雨水管理网络的敏感性

随着雨水控制措施(SCM)捕获不透水地区的地表径流,城市流域中可能出现水平衡和流量状态成分的变化,但是为检测这些成分而需要进行检测的SCM处理量可能会有所不同。我们使用土壤和水评估工具(SWAT)水文模型来评估16种水文指标的敏感性,因为在美国俄亥俄州克利夫兰附近的西溪流域上,越来越密集的雨花园SCM网络被应用。随着SCM处理面积的增加,年基流量的增加与地表径流的减少相匹配,而水的产量和蒸散量的变化仍然很小。随着SCM的实施,在暴雨大小范围内,溪流对降雨的峰值响应下降,范围从阈值降雨深度开始(4。8毫米),使其值高于单个雨花园的设计风暴(19毫米)。排放超过20%的直接连接的不透水区域(DCIA)的SCM网络显着降低了排放量,恢复期不到1年,超过了平均流量的时间百分比,并出现浮流现象。经济衰退的斜率以及每年的1天和7天的低流量显示出轻微的响应,该响应在模型的不确定性范围内。水平衡和降雨响应指标对不同强度的雨水管理表现出最大的敏感性,而即使包括模型不确定性在内,即使在高水平的SCM处理下,偶尔出现的高流量和低流量也能抵抗可检测到的变化。直接连接的不透水区域(DCIA)的20%显着降低了排放量,恢复期不到1年,高于平均流量的时间百分比和浮华。经济衰退的斜率以及每年的1天和7天的低流量显示出轻微的响应,该响应在模型的不确定性范围内。水平衡和降雨响应指标对不同强度的雨水管理表现出最大的敏感性,而即使包括模型不确定性在内,即使在高水平的SCM处理下,偶尔出现的高流量和低流量也能抵抗可检测到的变化。直接连接的不透水区域(DCIA)的20%显着降低了排放量,恢复期不到1年,高于平均流量的时间百分比和浮华。经济衰退的斜率以及每年的1天和7天的低流量显示出轻微的响应,该响应在模型的不确定性范围内。水平衡和降雨响应指标对不同强度的雨水管理表现出最大的敏感性,而即使包括模型不确定性在内,即使在高水平的SCM处理下,偶尔出现的高流量和低流量也能抵抗可检测到的变化。
更新日期:2020-06-29
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