本文選題：排放源清單 + SMOKE模型　； 參考：《西安建筑科技大學(xué)》2015年碩士論文

【摘要】：隨著社會(huì)經(jīng)濟(jì)的高速發(fā)展,工業(yè)水平的不斷提高,能源的消耗量也越來(lái)越多,而由此造成的大氣污染物的排放量也急劇增加,嚴(yán)重影響了人們的日常生活和社會(huì)的發(fā)展�？諝赓|(zhì)量預(yù)報(bào)模式可以對(duì)未來(lái)的空氣質(zhì)量進(jìn)行預(yù)報(bào),為相關(guān)政策的制定和空氣污染的治理提供依據(jù)。而大氣污染物排放源清單作為空氣質(zhì)量預(yù)報(bào)模式的重要輸入數(shù)據(jù),對(duì)預(yù)報(bào)結(jié)果的準(zhǔn)確性起著重要的作用,所以更高效、更準(zhǔn)確的對(duì)排放源清單進(jìn)行處理是非常必要的。本文參考排放因子的排放源計(jì)算方法以及目前普遍使用的排放源處理模式SMOKE模型,開發(fā)了大氣污染物排放源處理系統(tǒng)EMIPS。系統(tǒng)基于MeteoInfo Java庫(kù),由Java程序設(shè)計(jì)語(yǔ)言進(jìn)行開發(fā),并用MySQL數(shù)據(jù)庫(kù)對(duì)排放源數(shù)據(jù)進(jìn)行管理。MeteoInfo Java庫(kù)可以提供一定的GIS功能,用來(lái)進(jìn)行數(shù)據(jù)的格點(diǎn)化等處理。EMIPS還可以根據(jù)對(duì)數(shù)據(jù)格式的不同需要,自行編寫Jython腳本對(duì)數(shù)據(jù)進(jìn)行批量處理。EMIPS主要功能包括排放源清單的計(jì)算、模式可用的排放源的處理以及一些NetCDF數(shù)據(jù)文件的處理等功能。排放源清單的計(jì)算根據(jù)排放因子法來(lái)進(jìn)行計(jì)算,主要是將基礎(chǔ)的統(tǒng)計(jì)數(shù)據(jù)以及排放因子等導(dǎo)入MySQL數(shù)據(jù)庫(kù)中,然后從數(shù)據(jù)庫(kù)中讀取相應(yīng)的數(shù)據(jù)計(jì)算出相應(yīng)排放源的排放量,并把計(jì)算出的結(jié)果導(dǎo)回到數(shù)據(jù)庫(kù)中,以便進(jìn)行后續(xù)的排放源處理操作。排放源的處理主要包括對(duì)面源的處理、對(duì)點(diǎn)源的處理以及對(duì)外部已經(jīng)格點(diǎn)化的排放源數(shù)據(jù)進(jìn)行處理。對(duì)點(diǎn)源的處理過程主要包括格點(diǎn)的轉(zhuǎn)化以及集合、化學(xué)組份分配、時(shí)間分配;對(duì)面源的處理過程主要包括空間分配、化學(xué)組份分配、時(shí)間分配;對(duì)外部格點(diǎn)化數(shù)據(jù)的處理過程主要包括格點(diǎn)大小的轉(zhuǎn)化、投影類型的轉(zhuǎn)化、時(shí)間分配、化學(xué)組份分配。對(duì)排放源的最終處理結(jié)果將存入創(chuàng)建好的NetCDF文件中,方便數(shù)據(jù)的分析。本文利用曹國(guó)良老師收集的2010年的排放源基礎(chǔ)數(shù)據(jù)及排放因子對(duì)EMIPS系統(tǒng)的排放源計(jì)算功能進(jìn)行了調(diào)試,最終處理成空氣質(zhì)量模式CUACE可用的排放源格式,并成功運(yùn)用在CUACE模式中。計(jì)算出的清單通過分析表明,EMIPS對(duì)排放源的計(jì)算及內(nèi)部數(shù)據(jù)處理結(jié)果比較合理。系統(tǒng)使用HTAP的2010年格點(diǎn)化排放源數(shù)據(jù)對(duì)外部排放源的處理以及格點(diǎn)大小、投影類型的轉(zhuǎn)化等功能進(jìn)行調(diào)試,調(diào)試結(jié)果通過分析表明對(duì)外部數(shù)據(jù)的處理以及格點(diǎn)大小、投影類型轉(zhuǎn)化等處理都比較合理。通過對(duì)CUACE模式預(yù)報(bào)結(jié)果進(jìn)行評(píng)估得到模式的預(yù)報(bào)效果良好。
[Abstract]:With the rapid development of social economy and the continuous improvement of industrial level, the consumption of energy is increasing, and the emissions of atmospheric pollutants are also increasing rapidly, which seriously affects the daily life of people and the development of society. The air quality prediction model can forecast the air quality in the future and provide the basis for the formulation of relevant policies and the control of air pollution. As the important input data of the air quality prediction model, the air pollutant emission source inventory plays an important role in the accuracy of the forecast results, so it is necessary to process the emission source inventory more efficiently and accurately. Referring to the emission source calculation method of emission factor and the SMOKE model of emission source treatment model widely used at present, the emission source treatment system of atmospheric pollutants (EMIPs) is developed in this paper. The system is based on MeteoInfo Java library, developed by Java programming language, and managed by MySQL database. MeteoInfo Java library can provide certain GIS function. EMIPS can also write Jython script for batch processing of data according to different data format. EMIPS main functions include the calculation of emission source inventory. Mode available emission source processing and some NetCDF data file processing and other functions. The calculation of the emission source inventory is based on the emission factor method, which mainly introduces the basic statistical data and emission factors into the MySQL database, and then reads the corresponding data from the database to calculate the emissions of the corresponding source. The calculated results are brought back to the database for subsequent emission source processing. The treatment of emission source mainly includes the treatment of point source, the processing of point source and the processing of external already punctured emission source data. The processing process of point source mainly includes lattice transformation, collection, chemical component distribution and time distribution, while the processing process of non-point source mainly includes space distribution, chemical component distribution and time distribution. The processing process of external lattice data mainly includes the transformation of lattice size, projection type, time distribution and chemical component distribution. The final processing result of the emission source will be stored in the created NetCDF file to facilitate the analysis of the data. Based on the basic data and emission factors collected by Cao Guoliang in 2010, this paper debugs the function of emission source calculation in EMIPS system, and finally processes the emission source format available for CUACE in air quality mode, and successfully applies it to CUACE mode. The calculated inventory shows that EMIPS is reasonable for the calculation of emission sources and internal data processing. The system uses HTAP's 2010 lattice emission source data to deal with the external emission source, as well as the lattice size, projection type transformation and other functions to debug. The debugging results show that the external data processing and lattice size, Projection type transformation and other processing are more reasonable. By evaluating the prediction results of the CUACE model, it is shown that the model has a good prediction effect.
【學(xué)位授予單位】：西安建筑科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：X51

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