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Analysis of data using neuro fuzzy approach recorded by instrumentation network installed at Mansa Devi (Haridwar) landslide site

机译:使用神经模糊方法进行数据分析,该方法由安装在曼萨德维(哈里德瓦尔)滑坡现场的仪器网络记录

摘要

This paper presents a case study of landslide monitoring and early warning of Mansa Devi (Haridwar), located at Haridwar by pass road. Data recorded by instrumentation network installed at Mansa Devi (Haridwar) landslide site by five sensors (Rain Guage, Inclinimeter, Tiltmeter, Crack meter, Earth pressure cell) was analyzed and a relationship between rainfall intensity-surface parameters and landslide occurrence drawn with neuro-fuzzy approach for prediction of landslide and concept of early warning system is also described. Mansa Devi site is found rain prone and developed model demonstrates a fairly accurate prediction.
机译:本文介绍了通过通行道路位于哈里德瓦尔的Mansa Devi(哈里德瓦尔)的滑坡监测和预警的案例研究。通过安装在Mansa Devi(Haridwar)滑坡现场的仪器网络,通过五个传感器(雨量仪,倾角仪,倾斜仪,裂缝仪,土压力传感器)记录的数据进行了分析,并利用神经网络绘制了降雨强度-地表参数与滑坡发生之间的关系。描述了滑坡预测的模糊方法和预警系统的概念。曼萨·德维(Mansa Devi)的站点容易下雨,开发的模型显示了相当准确的预测。

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