Design And Implementation Of Wuhan Air Pollution Simulation System Based On Hadoop

In recent years,the current situation of air pollution in china has become increasingly serious,which has not only seriously affected the urban environment,but also threatened people’s health.Owing to the causes of air pollution are very complex and involving a wide range of areas,the implementation effects of general governance measures are often difficult to achieve the expected results.Therefore,the treatment of air pollution often requires joint prevention and control at the city circle level.In the process of joint prevention and control of air pollution,it’s necessary to simulate the changes of air quality after the control measures are taken,evaluate the results to seek a better control measures.However,with the increasing requirement of simulation and the massive amount of atmospheric data generated,traditional manual simulation operation is inefficient and the centralized data management mode can’t meet the needs of data calculation and analysis.In view of the above,the paper designs and implements an air pollution simulation system based on Hadoop and the air quality model including WRF and CMAQ.This system uses the Hadoop calculation framework to improve the management,calculation and analysis capabilities of air quality data.This system uses the WRF-CMAQ model to predict the air quality change trend after the implementation of control measures under a moderate pollution and above weather.In order to improve the accuracy of the simulation,the local pollution emission inventory of Wuhan City is used in simulation process.The simulation process is researched and designed to realize the automatic control of the program.Then the simulation results are transformed into decimal data and stored in HBase.The Hadoop is integrated for data cleaning,storage and statistical analysis.Finally,the system evaluates and analyzes various control measures from the perspective of the specific distribution and trend of changes in atmospheric data,to find the best measure among them.The system revolves around air pollution simulation and business flow,and has designed and completed four functional modules including air capacity calculation,scenario simulation,data analysis and visualization,and system management.Finally,the function and non-function of the system are tested by combining the related methods of software testing.The test results show that the system fulfills the expected requirements,realizes the closed-loop decision-making task flow from the formulation of control measures,simulation of implementation effects,data conversion and storage,and data analysis and visualization,and finally used to evaluate the actual effects of multiple control measures.The design and implementation of the system also provide relatively complete design ideas and implementation methods for air quality prediction and control measures evaluation in other regions.