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DYNAMICAL ASSESSMENT OF FOG HARVESTING BASED ON FRACTAL THEORY

机译:基于分形理论的雾收获动态评估

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The limitation of water sources in most places all over the world, especially in arid and semi-arid lands is an important Issue for those who live in these areas. Many governments have dedicated their efforts toward finding new water resources to obtain water. Fog and cap clouds harvesting are one of the candidate methods to produce pure water. Many countries including Chile, Peru, Ecuador, Canada, Namibia and Nepal Have yet invested on fog harvesting. On the other hand, no significant calculation studies have been yet carried out on quantifying fog harvesting. In this work, we examined the Physical and dynamic relationship between cloud physics and atmosphere humidity; factors such as distribution of particle amounts, collection efficiency, water including base cloud and vapour flux were all considered. We also presented a new method to estimate fog harvesting, based on fractal theory and concerning the characteristics of collecting devices. Finally, we successfully evaluated the theories for fractal dimension of particle distribution, using the real data of fog harvesting. The incremental fractal dimension reliability was found to be 83% acceptable.
机译:在世界各地的大多数地方的水源限制,特别是在干旱和半干旱地区是那些生活在这些领域的人的重要问题。许多政府致力于寻找新的水资源以获得水资源。雾和帽云收获是生产纯水的候选方法之一。许多国家包括智利,秘鲁,厄瓜多尔,加拿大,纳米比亚和尼泊尔尚未投资雾收获。另一方面,尚未在量化雾收获方面进行了重大的计算研究。在这项工作中,我们检查了云物理和大气湿度之间的物理和动态关系;诸如粒子量分布,收集效率,包括碱云和蒸汽通量的水的因素。我们还基于分形理论并涉及收集装置的特征,提出了一种估计雾收获的新方法。最后,我们使用雾收割的真实数据成功地评估了粒子分布分形尺寸的理论。增量分形尺寸可靠性被发现是83%可接受的。

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