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Identification of Surface Water Quality along the Coast of Sanya South China Sea

机译:南海三亚沿岸地表水水质识别

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摘要

Principal component analysis (PCA) and cluster analysis (CA) are utilized to identify the effects caused by human activities on water quality along the coast of Sanya, South China Sea. PCA and CA identify the seasonality of water quality (dry and wet seasons) and polluted status (polluted area). The seasonality of water quality is related to climate change and Southeast monsoons. Spatial pattern is mainly related to anthropogenic activities (especially land input of pollutions). PCA reveals the characteristics underlying the generation of coastal water quality. The temporal and spatial variation of the trophic status along the coast of Sanya is governed by hydrodynamics and human activities. The results provide a novel typological understanding of seasonal trophic status in a shallow, tropical, open marine bay.
机译:利用主成分分析(PCA)和聚类分析(CA)来确定人类活动对南海三亚沿岸水质的影响。 PCA和CA确定水质的季节性(干季和湿季)和污染状态(污染区域)。水质的季节性与气候变化和东南季风有关。空间格局主要与人为活动(特别是土地污染投入)有关。 PCA揭示了沿海水质产生的潜在特征。三亚沿岸营养状况的时空变化受流体动力学和人类活动的支配。结果为浅海,热带,开放海洋海湾中的季节性营养状况提供了一种新颖的类型学理解。

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