Use of regression models for analyzing highway storm-water loads
Use of regression models for analyzing highway storm-water loads
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DOI：
10.1061/(asce)0733-9372(1998)124:10(987
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发表时间：
1998-10-01
期刊：
影响因子：
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通讯作者：
Charbeneau, RJ
中科院分区：
文献类型：
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作者：
Irish, LB;Barrett, ME;Charbeneau, RJ
从德克萨斯州奥斯汀的一条高速公路上收集的雨水数据。面积被用来开发回归模型预测负荷的一些成分常见于公路径流。模型开发的目标是确定影响公路径流质量的过程。线性回归被选为分析数据的最合适的技术，因为它能够识别组成特定的因果变量。回归方程表明，在公路暴雨水负荷观测到的变化大多数可以解释的因果变量测量过程中的暴雨事件，前期干旱期，和以前的暴雨事件。每个成分的负载取决于一个独特的子集所确定的变量，这表明负责雨水污染物的产生，积累和冲刷的过程是特定的成分。负荷的一些成分，如总悬浮固体，是依赖于当前的风暴，前期干燥期的特点，和前一个风暴的建设和冲刷过程的重要性。其他成分，如油和油脂，只取决于当前风暴期间的条件，如径流量和事件期间的车辆数量。识别特定成分的解释变量表明，在非点源污染控制中，适合特定成分的缓解类型。
Storm-water data collected from an expressway in the Austin, Tex. area were used to develop regression models for predicting loads for a number of constituents commonly found in highway runoff. The goal of the model development was to identify the processes that affect the quality of highway runoff. Linear regression was selected as the most appropriate technique for analyzing the data because of its ability to identify constituent specific causal variables. The regression equations indicate that the majority of variations observed in highway storm-water loading can be explained by causal variables measured during the rainstorm event, the antecedent dry period, and the previous rainstorm event. Loads for each of the constituents were dependent upon a unique subset of the identified variables, indicating that processes responsible for the generation, accumulation, and washoff of storm-water pollutants are constituent specific. Loads of some constituents, such as total suspended solids, were dependent on the characteristics of the current storm, antecedent dry period, and the preceding storm indicating the importance of buildup and washoff processes. Other constituents, such as oil and grease, were dependent only on conditions during the current storm, such as runoff volume and number of vehicles during the event. The identification of constituent-specific explanatory variables suggests the type of mitigation that would be appropriate for specific constituents in non-point-source pollution control.