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Computational and Experimental Biomonitoring Transboundary Pollution for Optimizing Industrial Effluent Parameters

机译:优化工业废水参数的计算和实验生物监测跨界污染

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This paper deals with monitoring transboundary pollution affecting a waterbody shared by two neighboring countries. The case under examination refers to a river crossing the borders between an upstream and a downstream country (UC and DC, respectively, by considering the borders as reference point), where the source of pollution is located in the UC but the downstream environmental impacts are manifested also in the DC. A methodology is presented, under the form of an algorithmic procedure including 20 activity stages and 10 decision nodes, for quantifying environmental impact, formulating the necessary knowledge framework for maximizing joint benefit and creating the suitable background for bilateral negotiations in order to reach a satisfactory agreement for both parts. The measure of pollution we introduce is the spatio-temporal oxygen deficit given as the area between a critical dissolved oxygen value and the corresponding oxygen sag curve. Based on this measure, we have determined the basic regimes that may appear in practice and we have highlighted the limiting cases that structure the domain where a quasi-optimal solution may be found. It is worthwhile noting that the presented approach can be extended to include water quality issues, especially suitable for dealing with extreme climatic changes (drought, flood, or other impacts of global warming), as well as the introduction of new technologies for improving water utility.
机译:本文涉及监测影响两个邻国共享的水体的跨界污染。所审查的案例是指一条河流跨越上游国家和下游国家(分别通过考虑边界作为参考点,分别考虑到UC和DC)之间的边界,其污染源位于UC,但下游环境影响为在DC中也有体现。提出了一种包括20个活动阶段和10个决策节点的算法程序形式的方法,用于量化环境影响,制定必要的知识框架以最大程度地提高共同利益并为双边谈判创造合适的背景,从而达成令人满意的协议对于这两个部分。我们引入的污染度量是时空氧亏缺,以临界溶解氧值和相应的氧流挂曲线之间的面积表示。基于此度量,我们确定了在实践中可能出现的基本机制,并着重指出了构成可找到拟最佳解的域的有限情况。值得指出的是,所介绍的方法可以扩展到包括水质问题,特别适合应对极端气候变化(干旱,洪水或全球变暖的其他影响),以及引入新技术来改善水的利用。

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