Abstract

The objective is to identify the spatial and temporal variability of the hydrochemical quality of the water column in a subtropical coastal system, Daya Bay, China. Water samples were collected in four seasons at 12 monitoring sites. The Southeast Asian monsoons, northeasterly from October to the next April and southwesterly from May to September have also an important influence on water quality in Daya Bay. In the spatial pattern, two groups have been identified, with the help of multidimensional scaling analysis and cluster analysis. Cluster I consisted of the sites S3, S8, S10 and S11 in the west and north coastal parts of Daya Bay. Cluster I is mainly related to anthropogenic activities such as fish-farming. Cluster II consisted of the rest of the stations in the center, east and south parts of Daya Bay. Cluster II is mainly related to seawater exchange from South China Sea.

Highlights

  • Daya Bay lies on the southern coast of China like a door shape, with a coastal line of 92 km, and an area of 600 km2

  • Results from ANOVA did not show any temporal variations of Chemical oxygen demand (COD) obtained from different sampling campaigns but showed significant temporal change of other variables, such as temperature, salinity, Secchi, Dissolved oxygen (DO), BOD5, chlorophyll a (Chl a), DIN and total phosphorus (TP)

  • Significant spatial differences were found for all the variables including temperature, salinity, Secchi, DO, BOD5, COD, Chl a, DIN and TP

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Summary

Introduction

Daya Bay lies on the southern coast of China (from 22°31'12" to 22°50'00" N, 114°29'42" to 114°49'42" E) like a door shape, with a coastal line of 92 km, and an area of 600 km. There are two towns (Dapeng Town and Nanao Town) in the western coast area. The north and east coast area belong to Huizhou, China, there are five towns, namely Xiachong Town, Aotou Town, Renshan Town, Xunliao Town and Tiechong Town. Shenzhen and Huizhou have had a great influence on the environment of this bay. It has been one of the main aquaculture areas in Guangdong Province, due to its excellent water quality.

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