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Spatio-Temporal Control of Nutrient Pollution from Organic Waste

机译:有机废物营养污染的时空控制

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Better management of anthropogenic organic waste and other primary sources of nutrient pollution such as agricultural, municipal, and industrial waste, will reduce the human impact on the environment.Harmful algal blooms (HABs) are a major environmental impact from organic waste and nutrient pollution.HABs can pose severe threats to human health due to the release of dangerous toxins in fresh or marine water that can negatively affect public health, increase treatment costs for drinking water, and cause enormous economic loss in industries that depend on clean water.In this study, the effect of decisions made in the organic waste supply chain (SC) on reducing the potential for HABs is investigated by integrating three types of models: a SC optimization model, a nutrient transport model, and an algae growth model.This contribution presents a comprehensive spatio-temporal management strategy for short-term HAB reduction by adjusting components in the SC, including technologies, logistics, nutrient management plans (NMPs) or environmental costs, and seasonal waste storage planning.In addition, it is presented a case study of the Upper Yahara Watershed in the State of Wisconsin to illustrate the practicability of this modeling framework.
机译:更好地管理人类学有机废物和其他主要营养污染源,如农业,市政和工业废物,将降低对环境的人类影响。分支藻类盛开(HABS)是有机废物和营养污染的主要环境影响。由于可以对公共卫生产生负面影响的新鲜或海水中的危险毒素释放危险毒素,增加饮用水的治疗费用,并在依赖清洁水中造成巨大经济损失的危险毒素,这取决于依赖净水的巨大经济损失,造成严重的毒素。通过整合三种类型的模型来研究在有机废物供应链(SC)中进行有机废物供应链(SC)的作用的影响:SC优化模型,营养运输模型和藻类生长模型,进行了研究。本贡献呈现通过调整SC中的组件,包括技术,物流的综合时空管理策略,营养管理计划(NMP)或环境成本,以及季节性废物储存策划。此外,提出了对威斯康星州地区的上亚哈拉流域的案例研究,以说明这种建模框架的实用性。

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