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运用多元统计方法分析马里基纳河某河段水质的时空变化

Spatial and temporal variation of water quality of a segment of Marikina River using multivariate statistical methods.

作者信息

Chounlamany Vanseng, Tanchuling Maria Antonia, Inoue Takanobu

机构信息

Department of Chemistry, Faculty of Natural Science, National University of Laos, Vientiane, Lao PDR E-mail:

College of Engineering, University of Philippines Diliman, Quezon City, Philippines.

出版信息

Water Sci Technol. 2017 Sep;76(5-6):1510-1522. doi: 10.2166/wst.2017.279.

DOI:10.2166/wst.2017.279
PMID:28953477
Abstract

Payatas landfill in Quezon City, Philippines, releases leachate to the Marikina River through a creek. Multivariate statistical techniques were applied to study temporal and spatial variations in water quality of a segment of the Marikina River. The data set included 12 physico-chemical parameters for five monitoring stations over a year. Cluster analysis grouped the monitoring stations into four clusters and identified January-May as dry season and June-September as wet season. Principal components analysis showed that three latent factors are responsible for the data set explaining 83% of its total variance. The chemical oxygen demand, biochemical oxygen demand, total dissolved solids, Cl and PO are influenced by anthropogenic impact/eutrophication pollution from point sources. Total suspended solids, turbidity and SO are influenced by rain and soil erosion. The highest state of pollution is at the Payatas creek outfall from March to May, whereas at downstream stations it is in May. The current study indicates that the river monitoring requires only four stations, nine water quality parameters and testing over three specific months of the year. The findings of this study imply that Payatas landfill requires a proper leachate collection and treatment system to reduce its impact on the Marikina River.

摘要

菲律宾奎松市的帕亚塔斯垃圾填埋场通过一条小溪将渗滤液排放到马里基纳河中。运用多元统计技术研究了马里基纳河某一河段水质的时空变化。数据集包含了五个监测站一年中12个物理化学参数。聚类分析将监测站分为四类,并确定1月至5月为旱季,6月至9月为雨季。主成分分析表明,三个潜在因素导致了数据集83%的总方差。化学需氧量、生化需氧量、总溶解固体、氯离子和磷酸根受点源人为影响/富营养化污染影响。总悬浮固体、浊度和硫酸根受降雨和土壤侵蚀影响。3月至5月帕亚塔斯小溪排水口污染程度最高,而下游监测站在5月污染程度最高。当前研究表明,河流监测仅需四个监测站、九个水质参数以及在一年中的三个特定月份进行检测。本研究结果表明,帕亚塔斯垃圾填埋场需要一个合适的渗滤液收集和处理系统,以减少其对马里基纳河的影响。

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