Identification of Pollution Sources Via Neural Networks
作者： G. M. Brion , S. Lingireddy
DOI: 10.1007/978-94-015-9341-0_10
关键词: Hazardous waste 、 Lead (geology) 、 Environmental science 、 Environmental resource management 、 Artificial neural network 、 Water quality 、 Pollution 、 Identification (information) 、 Watershed 、 Watershed management
摘要: Neural networks are already used in watershed management to forecast, predict, and control water supplies, but date have not been widely control, or improve quality. Yet, neural network based models can be applied identify the presence of potentially hazardous, pathogen laden, agricultural runoff receiving waters. This is an entirely novel approach for analysis quality indicators that, when expanded beyond source identification, may lead development new monitoring paradigms.
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