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Thermal comfort and runoff water quality performance on green roofs in tropical conditions

机译:热带条件下绿色屋顶的热舒适性和径流水水质表现

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摘要

This study is on monitoring program for urban Stormwater Management Manual for Malaysia (MSMA) and Eco-Hydrological in Kuala Lumpur, Malaysia. The rainwater was harvested and evaluated on the basis of three major parameters; Electric Conductivity, Dissolved Oxygen, pH, and indoor temperature. These parameters has been analyzed and compared with the National Water Quality Standards and Water Quality Index provided by the Department of Environment of Malaysia. This paper also analyzed the effect of using vegetated roofs on the pH value of rainwater using the adaptive neuro-fuzzy methodology, which simulates the rainwater quality parameter with adaptive neuro-fuzzy inference system (ANFIS). The performance of proposed system is consolidated by simulation results. The study revealed that the ANFIS model can be used to determine rainwater quality parameter with high reliability. For that reason, it can be connected for reasonable purposes. Meanwhile, the influence of green roof in reducing indoor temperature is very important.
机译:这项研究是针对马来西亚吉隆坡城市雨水管理手册(MSMA)和生态水文监测计划的。收集雨水并根据以下三个主要参数进行评估:电导率,溶解氧,pH和室内温度。这些参数已经过分析,并与马来西亚环境部提供的国家水质标准和水质指数进行了比较。本文还使用自适应神经模糊方法分析了植被屋顶对雨水pH值的影响,该方法使用自适应神经模糊推理系统(ANFIS)模拟雨水质量参数。仿真结果巩固了所提出系统的性能。研究表明,ANFIS模型可用于确定雨水质量参数,具有较高的可靠性。因此,可以出于合理目的进行连接。同时,屋顶绿化对降低室内温度的影响非常重要。

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