Design And Implementation Of Urban Emission Inventory Compilation Information System Based On Big Data And Cloud Computing

In the technical system of urban atmospheric environment treatment,building an accurate,complete and rapidly updated emission inventory is not only helpful to quickly identify the sources of pollution and carbon emissions,but also an important basis for formulating pollutant and greenhouse gas emission reduction strategies.However,the traditional compiling method of emission inventory requires a large number of activity data collection,classification,field research of emission factors and large-scale data management and computation,and lacks the sharing mechanism of data and computing resources.Hence,it is difficult to realize the distributed compilation and rapid updating of the emission inventory.As a result,joint management of the atmospheric environment cannot be executed in time.In order to solve the above problems,this dissertation designs a distributed,online interactive emission inventory compilation information system.Several Internet emerging technologies like big data,cloud computing are utilized such that the blocks in the data-computation-service chain are cleared,and a digital technical support is proved for the efficient treatment of the urban atmospheric environment.The specific works are as follows:(1)In order to facilitate the rapid sharing of data involved in the emission inventory compilation,a data service module is designed.Specifically,a protocol parser is firstly designed to solve the compatibility problem of OPe NDAP protocol accessing Hadoop distributed file system.Consequently,a highly scalable data storage system for emission inventory compilation can be built with reliable data transmission.Then,through the development of two independent micro-service modules,data sharing and inventory visualization modules,relevant personnel can quickly,accurately and efficiently obtain the data resources required for inventory compilation.Thus,data sharing is realized seamless among the personnel for emission inventory compilation.(2)In order to reduce the complexity and improve the efficiency of emission inventory compilation procedure,an interactive emission inventory compilation service module is designed based on cloud computing.By encapsulating the emission calculation and task submission processes,and providing a unified and efficient pollutant calculation API system in the form of network cloud services,a programmed online inventory compilation platform is designed.With this platform,the relevant personnel can access the calculation resources easily,and compile the emission inventory in parallel and efficiently.An application case illustrates that the presented interactive inventory compilation service can effectively realize on-line compilation of emission inventory,and simplify the compilation process significantly.(3)As traffic source emissions are important parts of an emission inventory,accurate quantification of motor vehicle emissions and establishing a traffic source emission inventory with high temporal and spatial resolution are of great importance for the fine treatment of the atmospheric environment.However,traffic source emission inventory presented by existing methods has low temporal and spatial resolution.So,a real-time traffic emission calculation method based on real-time vehicle speeds and Apache Storm technique is designed in this dissertation.Moreover,a real-time calculation topology is designed for traffic emissions such that real-time calculation of traffic emission street by street can be realized.In this way,the temporal and spatial resolution of traffic emission calculation is improved greatly.Simulations based on traffic data in Beijing demonstrate that this method can successfully access,analyze and display the traffic data flow in real time.