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首页> 美国卫生研究院文献>Tropical Life Sciences Research >Using Non-supervised Artificial Neural Network for Determination of Anthropogenic Disturbance in a River System
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Using Non-supervised Artificial Neural Network for Determination of Anthropogenic Disturbance in a River System

机译：使用非监督人工神经网络确定河流系统中的人为干扰

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The study of river water quality plays an important role in assessing the pollution status and health of the water bodies. Human-induced activities such as domestic activities, aquaculture, agriculture and industries have detrimentally affected the river water quality. Pinang River is one of the important rivers in Balik Pulau District that supplies freshwater for human consumption. A total of 442 physical and chemical parameters data of the Pinang River, Balik Pulau catchment were analysed to determine the sources of pollutants entering the river. Non-supervised artificial neural network (ANN) was employed to classify and cluster the river into upstream, middle-stream and downstream zones. The monitored data and non-supervised ANN analysis demonstrated that the source of nitrate was derived from the upper part of the Pinang River, Balik Pulau while the sources of nitrite, ammonia and ortho-phosphate are predominant at the middle-stream of the river system. Meanwhile, the sources of high total suspended solid and biological oxygen demand were concentrated at the downstream of the river.
机译：河流水质的研究在评估水体的污染状况和健康方面起着重要作用。家庭活动，水产养殖，农业和工业等人为活动对河流水质产生了不利影响。槟榔河是巴厘普劳地区重要的河流之一，为人类提供淡水。总共对Balik Pulau流域Pinang河的442个理化参数数据进行了分析，以确定进入该河的污染物的来源。使用非监督人工神经网络（ANN）对河流进行分类并将其分为上游，中游和下游区域。监测数据和非监督式人工神经网络分析表明，硝酸盐来源来自槟城河上游，Balik Pulau，而亚硝酸盐，氨和正磷酸盐来源则主要来自河流系统的中游。 。同时，高总悬浮固体和生物需氧量的来源集中在河流的下游。

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