Abstract

The Ker-Ya River flows through the high-tech industrial park and urban residential areas of Hsin-Chu in northern Taiwan. Major and trace element concentrations of waste effluents, river water, and sediment samples collected during 2017 along the Ker-Ya River were analyzed to elucidate the distribution pattern of potential pollutants. Principal component analyses were applied, and four major contaminant associations were recognized: 1) Ce, Co, Fe, La, V, and Cr; 2) Cu and Ni associated with Hg, Ni, P, Ga, W, In, and Ti; 3) B, Li, Ba, Ca, and Ag; and 4) Sn with Zn, In, and Cd. All associations are considered to be mainly anthropogenic. Although the element associations recognized from the water samples are not exactly the same as those from the sediment samples but nevertheless, they are similar, suggesting that the short-term and long-term distribution patterns are consistent. The A association accounts for the most variance in the data and exhibits the widest distribution, suggesting the existence of contaminant sources in the upper and lower reaches, respectively. The sediments near the outlet of the city sewage plant also contain association A elements, signaling incomplete processing of the diverged waters sent to the plant at the river mouth. The B association (mainly Cu and Ni) appeared mainly in the upper and middle reaches, indicative of sources from industries in the upper reaches and the tributary Nan-Men Creek. The C association (B, Ba, Ca, and Li) was limited to the center part of the river, probably attributable to a nearby paper mill. The D association (primarily Sn, In, and Zn) was present in the top point of the middle reaches, suggesting the presence of other contaminant sources in the upper reaches. Although a total of four concomitant associations were recognized, none of the elements exceeded the drinking water standard, suggesting that there was no severe pollution present.

Highlights

  • Despite efforts advanced in sewage treatment, monitoring and law enforcement, pollution caused by wastewaters discharged from domestic, agriculture, and industry remains a dire and challenging problem in many cities [1]-[9]

  • This paper aims to examine the distribution patterns of major and trace elements measured from water and surface sediment samples in three batches collected during 2017 along the Ker-Ya River using multivariate analysis

  • It is expected that the associations recognized from sediments do not necessarily correspond to the overlying water because potentially toxic elements in the Ke-Ya River are mainly bounded with fine-sized (

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Summary

Introduction

Despite efforts advanced in sewage treatment, monitoring and law enforcement, pollution caused by wastewaters discharged from domestic, agriculture, and industry remains a dire and challenging problem in many cities [1]-[9]. This is the case in certain cities in Taiwan [10] [11]. This paper uses a multivariate statistical method to investigate the element data of river water and surface sediment samples to determine contaminant distribution patterns and elucidate possible pollution sources in a densely populated, highly industrialized area, Hsin-Chu, in northern Taiwan. Along the upper reaches remain farms, possibly discharging agricultural wastes too

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