| 基于CSGD的排放清单处理工具研究 |
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| 引用本文： | 王堃,高超,王晨龙,童亚莉,王树堂,王人洁,刘媛.基于CSGD的排放清单处理工具研究[J].环境科学研究,2019,32(6):1090-1098. |
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| 作者姓名： | 王堃 高超 王晨龙 童亚莉 王树堂 王人洁 刘媛 |
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| 作者单位： | 北京市劳动保护科学研究所,北京,100054;中国科学院东北地理与农业生态研究所,吉林 长春,130102;生态环境部对外合作与交流中心,北京,100035;交通运输部规划研究院,北京,100028;中国环境保护产业协会,北京,100081 |
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| 基金项目： | 北京市科学技术研究院萌芽计划（No.GS201826）；国家重点研发计划重点专项（No.2016YFC0208103）；国家自然科学基金项目（No.21607008） |
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| 摘 要： | CSGD（crowd sourcing geographic data，众源地理数据）是通过互联网向大众或相关机构提供的一种开放地理空间数据，具有易获取、时效性好、准确性高等特点，在排放清单时空分配方面具有应用潜力.然而，现有排放清单处理工具不支持CSGD数据直接输入且难以满足排放清单空间分配和空气质量模式所需清单格式，因此，亟待开发一套可以拓展该类数据在排放清单领域应用的工具.以CSGD中的POI（城市设施兴趣点）数据为主要研究对象，基于QGIS平台、C++语言及Python语言，开发了在Windows系统下的ISAT（inventory spatial allocate tool，排放清单空间分配工具）工具及在Windows或Linux系统下的ISAT.M工具.结果表明:ISAT工具以POI数据为基础制作出的空间分配结果与排放源排放强度的空间分布特征的一致性较好；ISAT.M工具输出的inline清单可以作为CMAQ空气质量模式及其DDM敏感性分析模块的输入文件并开展模拟，通过与SMOKE模型的关闭源法模拟结果对比发现，二者在数据及空间分布上呈较好的一致性.研究显示，CSGD数据应用于排放清单空间分配可较好地反映排放源空间分布特征，同时由于此类数据存在信息冗杂、近郊区数据缺失等问题，在应用过程中应注意数据清洗及数据种类的选取工作.
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| 关 键 词： | ISAT 排放清单处理工具 众源地理数据 POI |
| 收稿时间： | 2018/5/9 0:00:00 |
| 修稿时间： | 2019/2/20 0:00:00 |
Research on Emission Inventory Processing Tool based on CSGD Data |
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| WANG Kun,GAO Chao,WANG Chenlong,TONG Yali,WANG Shutang,WANG Renjie and LIU Yuan.Research on Emission Inventory Processing Tool based on CSGD Data[J].Research of Environmental Sciences,2019,32(6):1090-1098. |
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| Authors: | WANG Kun GAO Chao WANG Chenlong TONG Yali WANG Shutang WANG Renjie and LIU Yuan |
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| Affiliation: | 1.Beijing Municipal Institute of Labour Protection, Beijing 100054, China2.Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China3.Foreign Economic Cooperation Office, Ministry of Ecology and Environment, Beijing 100035, China4.Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China5.China Association of Environmental Protection Industry, Beijing 100037, China |
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| Abstract: | crowd sourcing geographic data (CSGD) is a kind of open geospatial data provided to the public or related organizations through the internet. CSGD has the potential to be applied in the space-time allocation of emission inventories due to its characteristics of easy access, good timeliness and high accuracy. However, the existed emission inventory processing tools do not support the direct input of CSGD data and are difficult to meet the inventory formats required for the space allocation of emission inventories and the air quality models. Therefore, it is urgent to develop a new set of tools to expand the application of CSGD in the field of emission inventories. In the present study, we focused on the point of interest (POI) data in CSGD, and developed an emission inventory processing tool called ISAT based on the QGIS platform, C++ and Python. ISAT included the ISAT emission inventory spatial processing tool based on the Windows system and the ISAT.M tool under the Linux system. The results proved that the spatial distribution results based on the POI data in the ISAT were in good agreement with the actual emission characteristics of the emission source. The inline inventory outputted by the ISAT.M tool could be used as an input for the CMAQ air quality model and its DDM module. Moreover, the simulation results of inline inventory by ISAT.M showed high consistency with the results of Brute Force method of the SMOKE model in both the data and the spatial distribution. This study shows that the CSGD data applied to the emission inventory space allocation can reflect the spatial distribution characteristics of the emission source. At the same time, due to the information redundancy and the lack of data in the suburbs, attention should be paid to the data cleaning and data type selection during the application processes. |
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| Keywords: | ISAT emission inventory processing tool crowd sourcing geographic data POI |
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