About the Usage of System Identification Methodologies For Climate Risks Analysis Along the Peruvian Coast

H. Nieto-Chaupis
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Abstract

Often system identification is used to attack problems corresponding in those system which exists a perception of type input-output. We brought this methodology to apply it to the concrete case of analyze the risks that are continuously expected due to the climatic variations as consequence of the arrival of phenomena such as "El Niño". In this paper we have associated the Volterra’a master equation to a one interpretation in the territory of probabilities. The resulting Volterra output is therefore seen as a kind of risk probability. For this end we used Google images by which we have focused our attention to the populations located near to rivers that are in permanent risk in summer times. This methodology can be finally seen as a scheme for disaster anticipation. We paid attention to the zones which have been affected by river overflow along the coast of Peru.
关于系统识别方法在秘鲁海岸气候风险分析中的应用
系统识别通常用于解决存在类型输入输出感知的系统中相应的问题。我们将这种方法应用到具体案例中,分析由于“厄尔Niño”等现象的到来而导致的气候变化而持续预期的风险。在本文中,我们将沃尔泰拉主方程与概率领域的一种解释联系起来。因此,由此产生的Volterra输出被视为一种风险概率。为此,我们使用了谷歌图像,通过这些图像,我们将注意力集中在夏季处于永久危险的河流附近的种群上。这种方法最终可以被看作是一种灾难预测方案。我们关注了秘鲁沿岸受河水泛滥影响的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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