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Modeling the Effects of Biogenic NOX Emissions on the South African Highveld and Waterberg Regions

机译:模拟南非NOVELD和沃特贝格地区生物NOX排放的影响

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The Highveld and Waterberg regions in South Africa contain extensive coal fields and therefore have a high concentration of coal-fired power stations. Previous studies assessed the impact of atmospheric deposition of S-and N-containing species from anthropogenic sources in the region but did not include the effect of biogenic emissions. This study models biogenic NOX soil emissions for the regions and includes them in an atmospheric dispersion model to study the effects of biogenic emission on nitrogen deposition rates. Simulated sulfur deposition rates for the Highveld area are also reported on. Anthropogenic and biogenic sulfur and nitrogen emission sources were inventoried for the Highveld and Waterberg regions. Using previous work byYienger and Levy, biogenic soil NOX emissions were quantified by constructing models for both areas using land use data, rainfall data, and atmospheric ground level temperatures from CALMET data. A CALPUFF dispersion model was used to predict deposition rates for S-and N-containing species with and without biogenic NOx emissions to determine the impact of biogenic emissions for the Highveld. As rainfall is highly variable in the region, meteorological data representative of high, average, and low rainfall years was used to determine the effect of rainfall on deposition rates for the various species. The biogenic NOx made up 3.96, 4.14, and 3.34% of total released NOx for 2001 (average rainfall), 2003 (low rainfall), and 2010 (high rainfall), respectively. Dry nitrogen deposition rates were affected most by the biogenic component, adding from 1.7 to 6.2% at various receptor locations. Wet deposition rates were affected very little (0.13 to 0.75%). Effect on total nitrogen deposition rates ranged from 0.32 to 1.77%. Biogenic emissions for the Waterberg area, being more arid, were calculated to be only 2.3% of total NOx emissions for the area and accordingly have little effect on deposition rates.
机译:南非的Highveld和Waterberg地区拥有广阔的煤田,因此燃煤电厂集中度很高。先前的研究评估了该地区人为来源的含S和N的物种在大气中的沉积影响,但没有包括生物排放的影响。这项研究为该地区的生物源氮氧化物土壤排放建模,并将其包含在大气扩散模型中,以研究生物源排放对氮沉积速率的影响。还报道了Highveld地区的模拟硫沉积速率。对Highveld和Waterberg地区的人为和生物源性硫和氮排放源进行了盘点。利用Yienger和Levy的先前工作,通过使用土地利用数据,降雨数据和CALMET数据中的大气地表温度为两个地区构建模型,对生物源性土壤NOX排放进行了量化。 CALPUFF扩散模型用于预测含和不含生物NOx排放的含S和N物质的沉积速率,以确定生物排放对Highveld的影响。由于该地区的降雨变化很大,因此使用代表高,平均和低降雨量年份的气象数据来确定降雨对各种物种沉积速率的影响。 2001年(平均降雨量),2003年(低降雨量)和2010年(高降雨量)的生物NOx分别占总释放NOx的3.96%,4.14和3.34%。干氮沉积速率受生物成分的影响最大,在各个受体位置增加了1.7%至6.2%。湿沉积速率受到的影响很小(0.13至0.75%)。对总氮沉积速率的影响范围为0.32至1.77%。据计算,沃特贝格地区更为干旱的生物排放量仅占该地区NOx排放总量的2.3%,因此对沉积速率的影响很小。

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