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Characteristics of Stormwater Quality in Singapore Catchments in 9 Different Types of Land Use

机译:新加坡集水区雨水质量特征在9种不同类型的土地利用中

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Stormwater quality is well known for its highly stochastic nature and not necessarily well explained by mechanistic urban build up and wash off models. Therefore, local empirical data (based on land use) are an essential compliment to statistical analyses of global data. This paper reports on a large-scale monitoring of the 12 key water quality parameters of suspended solids, nutrients, and heavy metals for stormwater runoff in urban discharges from nine urban land uses with varying sizes in Singapore. It was found that, in general, the average of the event mean concentrations for total nitrogen, total phosphorus, total organic carbon, total suspended solids (TSS), and phosphate in parkland land use were higher than the other eight studied land uses. Based on Pearson’s correlation analysis, significant correlation between pairs of water quality parameters was observed. Particularly, there was significant correlation between TSS and most of the other tested water quality parameters in all land uses. A pollutant data set from this study will assist in developing appropriate stormwater quality models, guide the establishment of stormwater treatment objectives and preliminary designs for Singapore catchments, as well as provide an essential complement to statistical analyses of global data for stormwater characteristics.
机译:雨水质量以其高度随机的性质而闻名,而且不一定是通过机械城市建设的很好地解释,并洗掉型号。因此,本地经验数据(基于土地使用)是对全球数据统计分析的重要恭维。本文报道了对九层城市土地的城市排放中的悬浮固体,营养成分和重金属的12个关键水质参数的大规模监测。结果发现,通常,总氮,总磷,总有机碳,总悬浮固体(TSS)和磷酸盐的平均值的平均值高于其他八个研究的土地用途。基于Pearson的相关性分析,观察到水质参数对之间的显着相关性。特别地,TSS与所有土地使用中的大多数其他测试水质参数之间存在显着相关性。从本研究中设定的污染物数据将有助于制定适当的雨水质量模型,指导雨水处理目标和新加坡集水区的初步设计,并为全球雨水特征提供统计分析的必要补充。

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