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首页> 外文期刊>Journal of the American Water Resources Association >MODELED SUMMER BACKGROUND CONCENTRATION OF NUTRIENTS AND SUSPENDED SEDIMENT IN THE MID-CONTINENT (USA) GREAT RIVERS
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MODELED SUMMER BACKGROUND CONCENTRATION OF NUTRIENTS AND SUSPENDED SEDIMENT IN THE MID-CONTINENT (USA) GREAT RIVERS

机译：中美洲（美国）大型河流夏季营养物和悬浮泥沙的模拟背景浓度

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摘要

We used regression models to predict summer background concentration of total nitrogen (N), total phosphorus (P), and total suspended solids (TSS), in the mid-continent great rivers: the Upper Mississippi, the Lower Missouri, and the Ohio. From multiple linear regressions of water quality indicators with land use and other stressor variables, we determined the concentration of the indicators when the predictor variables were all set to zero - the y-intercept. Except for total P on the Upper Mississippi River, we could predict background concentration using regression models. Predicted background concentration of total N was about the same on the Upper Mississippi and Lower Missouri Rivers (430 μg l~(-1)), which was lower than percentile-based values, but was similar to concentrations derived from the response of sestonic chlorophyll a to great river total N concentration. Background concentration of total P on the Lower Missouri (65 μg l~(-1)) was also lower than published and percentile-based concentrations. Background TSS concentration was higher on the Lower Missouri (40 mg l~(-1)) than the other rivers. Background TSS concentration on the Upper Mississippi (16 mg l~(-1)) was below a threshold (30 mg l~(-1)) designed to protect aquatic vegetation. Our model-predicted concentrations for the great rivers are an attempt to estimate background concentrations for water quality indicators independent from thresholds based on percentiles or derived from stressor-response relationships.
机译：我们使用回归模型来预测中部大陆大河：密西西比河上游，密苏里州下游和俄亥俄州的夏季总氮（N），总磷（P）和总悬浮固体（TSS）的本底浓度。根据水质指标与土地利用和其他压力变量的多重线性回归，我们确定了将预测变量全部设置为零（y轴截距）时指标的浓度。除了密西西比河上游的总磷外，我们可以使用回归模型预测背景浓度。密西西比河上游和密苏里河下游的总氮的预测背景浓度大约相同（430μgl〜（-1）），低于基于百分位数的值，但与基于固醇叶绿素响应得出的浓度相似一到大河中总氮浓度。下密苏里州的总磷的本底浓度（65μgl〜（-1））也低于公布的和基于百分位数的浓度。本底TSS浓度在下密苏里州（40 mg l〜（-1））高于其他河流。密西西比河上游的背景TSS浓度（16 mg l〜（-1））低于旨在保护水生植物的阈值（30 mg l〜（-1））。我们对大型河流的模型预测浓度是尝试估算水质指标的背景浓度，该背景浓度独立于基于百分位数的阈值或源自压力响应关系的阈值。

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