Implementation and Application of A Real-time Acquisition System for Earthquake Population with Heat Based on Mobile Big Data——A Case Study of Luding MS6.8 Earthquake
Obtaining the population data around the epicenter immediately after an earthquake is crucial for making emergency response decisions. In this paper we use distributed clusters for real-time processing and gridding of massive data to obtain massive mobile internet population distribution data,. In order to ensure that the system can achieve efficiency in second level output after the earthquake,a multi-level multi-strategy thinning calculation and HeatMap based visualization are designed. After the earthquake,the thermal population data calculation and distribution map of the designated range around earthquake epicenter in the time scale of second are automatically drawn,and the Luding MS6.8 earthquake is applied as an example case. Our results demonstrate the advantage of obtaining epicenter population distribution based on massive mobile internet user data.