Nnadi Fidelia, Gurr Eric
Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USA,
Environ Monit Assess. 2015 May;187(5):223. doi: 10.1007/s10661-015-4424-7. Epub 2015 Apr 3.
Environmental pollutants are health hazards and are typically transported during runoff events. Monitoring the loadings of these pollutants with auto-samplers require precise trigger thresholds to effectively account for total maximum daily loads (TMDLs) entering natural water bodies. Traditionally, auto-samplers are triggered by delaying the start of sampling until pollutant wave is present during rainfall event. The rainfall-related triggers are typically limited to small watersheds, where lag and travel times are consistent and predictable. However, in large and more complex watersheds, flow or stage is typically used either by a set threshold on change in instantaneous flow rate or water level. Generally, trigger thresholds are difficult to establish due to seasonal fluctuations in stream flow and variations in rainfall. This study investigated dual parameter trigger based on instantaneous change and variance from a moving average for flow and stage. Nineteen auto-samplers, installed within six watersheds of varying land uses in City of Kissimmee, FL, were evaluated over 3-year period. The results suggested that using 20- to 30-min moving average of 5-min sampling interval for both parameters was sufficient to detect pollutant waves with minimal false triggers. Also, change from average flow rate (∆Qave) and a percent change from average stage (∆Have%) were found to the preferred parameters. The ∆Have% values ranging from -0.012 to 0.20% and ∆Qave ranging from 0.014 to 0.850 m(3)/s were found to give effective results for all stations in the study area. It was also observed that these trigger thresholds varied with land use, stream flow condition, and auto-sampler locations within the watershed.
环境污染物对健康有害,通常在径流事件期间被输送。使用自动采样器监测这些污染物的负荷需要精确的触发阈值,以有效计算进入天然水体的每日最大总负荷(TMDL)。传统上,自动采样器通过延迟采样开始时间来触发,直到降雨事件期间出现污染物波。与降雨相关的触发通常限于小流域,在那里滞后时间和传播时间是一致且可预测的。然而,在大型且更复杂的流域中,通常根据瞬时流量或水位变化的设定阈值来使用流量或水位。一般来说,由于河流流量的季节性波动和降雨变化,触发阈值很难确定。本研究基于流量和水位的瞬时变化以及移动平均值的方差,研究了双参数触发。在佛罗里达州基西米市六个不同土地利用类型的流域内安装了19个自动采样器,并在3年时间内进行了评估。结果表明,对两个参数均使用5分钟采样间隔的20至30分钟移动平均值,足以检测污染物波,且误触发最少。此外,发现平均流速变化(∆Qave)和平均水位变化百分比(∆Have%)是首选参数。研究区域内所有站点的∆Have%值在-0.012至0.20%之间,∆Qave值在0.014至0.850立方米/秒之间时,能得到有效的结果。还观察到,这些触发阈值随土地利用、河流流量条件以及流域内自动采样器的位置而变化。