电力减排对华东空气质量影响的数值模拟

发布时间：2018-04-13 02:28

本文选题：火电排放 + 空气质量　；参考：《科学技术与工程》2017年30期

【摘要】：中国经济正处在高速发展时期,电力需求将持续增长;但以燃煤为主的电力工业带来的能源消耗和环境污染问题也不容忽视。为了进一步了解电力排放对华东空气质量的影响,应用中尺度大气动力-化学耦合模式WRF-Chem针对两种不同的电厂减排情景模拟分析了冬季华东地区主要污染物浓度变化量和分布情况,得到以下结论:(1)模式能较好模拟华东主要大气污染物的时间变化规律和空间分布特征;(2)华东冬季主要大气污染物浓度高值区为山东西部、安徽北部及长三角地区,冬季大气环流条件不利近地面污染物扩散,易造成污染物堆积;(3)减排的敏感性试验表明:电厂排放减半时华东大部地区SO2、NO2的浓度降低约10%~30%,关闭时约30%~50%;PM2.5和PM10在江西和福建沿海一带减少较多,电厂排放减半时约5%,关闭时约10%;CO基本不受电厂减排影响,仅降低1%~2%;而O3在电厂排放减半或关闭时在华东大部地区增加30%以上。
[Abstract]:China's economy is in a period of rapid development and the demand for electricity will continue to grow, but the energy consumption and environmental pollution brought by the coal-fired power industry should not be ignored.In order to further understand the impact of electric power emissions on air quality in East China,The variation and distribution of main pollutant concentrations in East China in winter were simulated and analyzed by using the mesoscale atmospheric dynamic-chemical coupling model (WRF-Chem) for two different emission reduction scenarios in power plants.The conclusions are as follows: (1) the model can better simulate the temporal variation and spatial distribution of the main atmospheric pollutants in East China. The high concentration regions of the main atmospheric pollutants in East China in winter are western Shandong, northern Anhui and the Yangtze River Delta.The atmospheric circulation conditions in winter are unfavorable to the diffusion of pollutants near the ground.The sensitivity test of reducing emissions easily caused by pollutant accumulation shows that the concentration of so _ 2no _ 2 in most parts of East China decreases by about 10% when the emission of power plants is reduced by half, and at the time of closing, about 30% of PM2.5 and PM10 decrease more in the coastal areas of Jiangxi and Fujian.When the emission of the power plant is halved, the emission of the power plant is reduced by about 5%, and when the plant is shut down, about 10% of CO is not affected by the emission reduction of the power plant, and only one part of the emission is reduced by 2%.
【作者单位】：江苏省电力公司电力科学研究院;气象灾害预报预警与评估协同创新中心中国气象局气溶胶与云降水重点开放实验室;
【分类号】：X51;X773

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