Hatt Belinda E, Fletcher Tim D, Walsh Christopher J, Taylor Sally L
Cooperative Research Centre for Freshwater Ecology, Water Studies Centre, Monash University, Victoria 3800, Australia.
Environ Manage. 2004 Jul;34(1):112-24. doi: 10.1007/s00267-004-0221-8. Epub 2004 May 28.
Effective water quality management of streams in urbanized basins requires identification of the elements of urbanization that contribute most to pollutant concentrations and loads. Drainage connection (the proportion of impervious area directly connected to streams by pipes or lined drains) is proposed as a variable explaining variance in the generally weak relationships between pollutant concentrations and imperviousness. Fifteen small streams draining independent subbasins east of Melbourne, Australia, were sampled for a suite of water quality variables. Geometric mean concentrations of all variables were calculated separately for baseflow and storm events, and these, together with estimates of runoff derived from a rainfall-runoff model, were used to estimate mean annual loads. Patterns of concentrations among the streams were assessed against patterns of imperviousness, drainage connection, unsealed (unpaved) road density, elevation, longitude (all of which were intercorrelated), septic tank density, and basin area. Baseflow and storm event concentrations of dissolved organic carbon (DOC), filterable reactive phosphorus (FRP), total phosphorus (TP) and ammonium, along with electrical conductivity (EC), all increased with imperviousness and its correlates. Hierarchical partitioning showed that DOC, EC, FRP, and storm event TP were independently correlated with drainage connection more strongly than could be explained by chance. Neither pH nor total suspended solids concentrations were strongly correlated with any basin variable. Oxidized and total nitrogen concentrations were most strongly explained by septic tank density. Loads of all variables were strongly correlated with imperviousness and connection. Priority should be given to low-impact urban design, which primarily involves reducing drainage connection, to minimize urbanization-related pollutant impacts on streams.
对城市化流域内的溪流进行有效的水质管理,需要确定城市化进程中对污染物浓度和负荷贡献最大的因素。排水连接(即不透水区域通过管道或衬砌排水渠直接与溪流相连的比例)被提出作为一个变量,用以解释污染物浓度与不透水性之间普遍较弱关系中的差异。对澳大利亚墨尔本以东独立子流域的15条小溪流进行了采样,以获取一系列水质变量。分别针对基流和暴雨事件计算了所有变量的几何平均浓度,并将这些浓度与降雨径流模型得出的径流估算值一起用于估算年均负荷。根据不透水性、排水连接、未密封(未铺设路面)道路密度、海拔、经度(所有这些因素都相互关联)、化粪池密度和流域面积的模式,评估了溪流之间的浓度模式。溶解有机碳(DOC)、可过滤活性磷(FRP)、总磷(TP)和铵的基流和暴雨事件浓度,以及电导率(EC),均随着不透水性及其相关因素的增加而增加。层次划分表明,DOC、EC、FRP和暴雨事件TP与排水连接的独立相关性比偶然因素所能解释的更强。pH值和总悬浮固体浓度均与任何流域变量没有强烈相关性。氧化态氮和总氮浓度最主要由化粪池密度来解释。所有变量的负荷都与不透水性和连接性密切相关。应优先考虑低影响的城市设计,主要包括减少排水连接,以尽量减少城市化相关污染物对溪流的影响。