中文关键词煨炕排放清单WRF-Chem模式PM_2.5贡献 英文关键词smoldering Chinese kangsemissions inventoryWRF-ChemPM_2.5source contribution

作者	单位	E-mail
郭文凯	兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000	guowk17@lzu.edu.cn
刘晓	兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000
朱玉凡	兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000
陈强	兰州大学大气科学学院, 半干旱气候变化教育部重点实验室, 兰州 730000	chenqqh@lzu.edu.cn
杜永刚	山东师范大学地理与环境学院, 济南 250013

中文摘要 在考虑经济水平差异的基础上，通过对典型区域的调查确定煨炕活动水平，采用排放因子法建立了兰州市2016年煨炕大气污染物排放清单，煨炕排放的SO₂、NO_x、NH₃、CO、VOCs、PM₁₀、PM_2.5、OC和EC的总量分别为340.8、201.8、106.0、36628.2、4997.2、6070.3、5645.1、1089.3和1233.1 t·a^-1.对污染物排放总量进行时空分配，排放主要集中在11月至次年4月中旬；排放量与区域经济水平密切相关，且存在着明显的空间差异，排放量大的区域主要集中在榆中东南部、永登中部和七里河南部.利用WRF-Chem模式研究了采暖季煨炕对兰州市PM_2.5浓度的平均贡献，引入煨炕污染物排放清单提高了模拟结果的准确性，兰苑宾馆（位于城区）和榆中站（位于农村）的PM_2.5平均浓度在模拟期间分别升高了32 μg·m^-3和34 μg·m^-3，贡献率分别为37.6%和49.2%.可见，研究和制定科学的煨炕污染物防控对策对改善区域环境空气质量具有重要意义. 英文摘要 Considering regional differences in economic development, the activity level of smoldering Chinese kangs was confirmed by surveys in typical areas in Lanzhou City. An emissions inventory of smoldering Chinese kangs in Lanzhou City in 2016 was established using the emissions factor approach. The emissions amounts of SO₂, NO_x, NH₃, CO, volatile organic compounds (VOCs), PM₁₀, PM_2.5, organic carbon (OC) and elemental carbon (EC) were 340.8, 201.8, 106.0, 36628.2, 4997.2, 6070.3, 5645.1, 1089.3, and 1233.1 t·a^-1, respectively. Emissions amounts were allocated by spatial and temporal characteristics. The emissions were concentrated from November to mid-April of the following year. Spatially, there were significant differences in emissions at different economic levels. The high value areas of emissions were mainly concentrated in the southern part of Yuzhong, central Yongdeng, and south of Qilihe. The weather research and forecasting with chemistry (WRF-Chem) model was used to determine the average contribution of smoldering Chinese kangs to PM_2.5 concentration in Lanzhou City during the heating season. The simulation results were improved after applying the emissions inventory. The average PM_2.5 concentration at Lanyuan Hotel (in the city) and Yuzhong Station (in the countryside) increased 32 μg·m^-3 and 34 μg·m^-3 in the simulation, respectively, and the corresponding rates of pollution contribution were 37.6% and 49.2%. Thus, researching and enacting scientific control measures for smoldering Chinese kang pollutants is significant to improving regional air quality.

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