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Quantifying the effect of geomorphology on aeolian dust emission potential in northern China

机译:量化地貌对中国北方风土尘埃发射潜力的影响

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Representation of dust sources remains a key challenge in quantifying the dust cycle and its environmental and climatic impacts. Direct measurements of dust fluxes from different landform types are useful in understanding the nature of dust emission and characterizing the dynamics of soil erodibility. In this study we used the PI-SWERL (R) instrument over a seasonal cycle to quantify the potential for PM10 (particles with diameter <= 10 mu m) emission from several typical landform types across the Tengger Desert and Mu Us Sandy Land, northern China. Our results indicate that sparse grasslands and coppice dunes showed relatively high emission potentials, with emitted fluxes ranging from 10(-1) to 10(1) mg m(-2) s(-1). These values were up to five times those emitted from sand dunes, and one to two orders of magnitude greater than the emissions from dry lake beds, stone pavements and dense grasslands. Generally, PM10 emission fluxes were seen to peak in the spring months, with significant reductions in summer and autumn (by up to 95%), and in winter (by up to 98%). Variations in soil moisture were likely a primary controlling factor responsible for this seasonality in PM10 emission. Our data provide a relative quantification of differences in dust emission potential from several key landform types. Such data allow for the evaluation of current dust source schemes proposed by prior researchers. Moreover, our data will allow improvements in properly characterizing the erodibility of dust source regions and hence refine the parameterization of dust emission in climate models. (c) 2019 John Wiley & Sons, Ltd. (c) 2019 John Wiley & Sons, Ltd.
机译:灰尘来源的代表仍然是量化灰尘周期及其环境和气候冲击的关键挑战。来自不同地形类型的灰尘通量的直接测量对于了解粉尘排放的性质,并表征土壤易用的动态。在这项研究中,我们使用PI-Swerl(R)仪器在季节性周期中量化PM10(具有直径<=10μm)的可能性,从腾格沙漠和穆美洲沙地,北方几种典型的地形类型排放中国。我们的结果表明,稀疏的草原和Coppice沙丘显示出相对高的发射电位,发射的助熔剂从10(-1)至10(1)mg m(-2)s(-1)。这些值高达了从沙丘发射的五倍,比干湖床,石材路面和密集草地的排放量大。通常,PM10排放助熔剂在春月内被视为峰值,夏季和秋季(高达95%)和冬季(冬季最多98%)占巨大减少。土壤水分的变化可能是PM10排放中该季节性的主要控制因素。我们的数据提供了来自几种关键地形类型的灰尘发射电位差异的相对量化。这些数据允许评估先前研究人员提出的电流粉尘源方案。此外,我们的数据将允许改进粉尘源区的易用性,因此优化气候模型中灰尘排放的参数化。 (c)2019 John Wiley&Sons,Ltd。(c)2019 John Wiley&Sons,Ltd。

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