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Characterisation of diffuse pollutions from forested watersheds in Japan during storm events-Its association with rainfall and watershed features

机译:暴风雨期间日本森林流域的弥漫性污染的特征-与降雨和流域特征的关系

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Forest areas have been identified as important sources of nonpoint pollution in Japan. The managers must estimate stormwater quality and quantities from forested watersheds to develop effective management strategies. Therefore, stormwater runoff loads and concentrations of 10 constituents (total suspended solids, dissolved organic carbon, PO_4-P, dissolved total phosphorus, total phosphorus, NH_4-N, NO_2-N, NO_3-N, dissolved total nitrogen, and total nitrogen) for 72 events across five regions (Aichi, Kochi, Mie, Nagano, and Tokyo) were characterised. Most loads were significantly and positively correlated with stormwater variables (total event rainfall, event duration, and rainfall intensity), but most discharge-weighted event concentrations (DWECs) showed negative correlations with rainfall intensity. Mean water quality concentration during baseflow was correlated significantly with storm concentrations (r=0.41-0.77). Although all pollutant load equations showed high coefficients of determination (R~2=0.55-0.80), no models predicted well pollutant concentrations, except those for the three N constituents (R~2 = 0.59-0.67). Linear regressions to estimate stormwater concentrations and loads were greatly improved by regional grouping. The lower prediction capability of the concentration models for Mie, compared with the other four regions, indicated that other watershed or storm characteristics should be included in the prediction models. Significant differences among regions were found more frequently in concentrations than in loads for all constituents. Since baseflow conditions implied available pollutant sources for stormwater, the similar spatial characteristics of pollutant concentrations between baseflow and stormflow conditions were an important control for stormwater quality.
机译:在日本,森林地区已被确认为非点源污染的重要来源。管理人员必须估算森林流域的雨水质量和数量,以制定有效的管理策略。因此,雨水径流负荷和10种成分的浓度(总悬浮固体,溶解的有机碳,PO_4-P,溶解的总磷,总磷,NH_4-N,NO_2-N,NO_3-N,溶解的总氮和总氮)在五个地区(爱知县,高知县,三重县,长野县和东京)举行的72场比赛的特点是。大多数负荷与雨水变量(事件总降雨量,事件持续时间和降雨强度)显着正相关,但大多数排放加权事件浓度(DWEC)与降雨强度呈负相关。基流期间的平均水质浓度与暴雨浓度显着相关(r = 0.41-0.77)。尽管所有污染物负荷方程均显示出较高的确定系数(R〜2 = 0.55-0.80),但除了三个氮成分的模型(R〜2 = 0.59-0.67)外,没有模型可以预测井中污染物的浓度。区域分组大大改善了估计雨水浓度和负荷的线性回归。与其他四个地区相比,密歇根州浓度模型的预测能力较低,这表明预测模型中应包括其他分水岭或暴风雨特征。对于所有成分而言,浓度之间的显着差异要比负载中更常见。由于基流条件暗示了雨水的可用污染物源,因此基流和雨流条件之间污染物浓度的相似空间特征是控制雨水质量的重要控制。

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