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Concentrations and source regions of light-absorbing particles in snow/ice in northern Pakistan and their impact on snow albedo

机译:巴基斯坦北部雪/冰中吸光颗粒的浓度,源区及其对雪反照率的影响

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Black carbon (BC), water-insoluble organic carbon (OC), and mineral dust are important particles in snow and ice which significantly reduce albedo and accelerate melting. Surface snow and ice samples were collected from the Karakoram–Himalayan region of northern Pakistan during 2015 and 2016 in summer (six glaciers), autumn (two glaciers), and winter (six mountain valleys). The average BC concentration overall was 2130?±?1560?ng?gsup?1/sup in summer samples, 2883?±?3439?ng?gsup?1/sup in autumn samples, and 992?±?883?ng?gsup?1/sup in winter samples. The average water-insoluble OC concentration overall was 1839?±?1108?ng?gsup?1/sup in summer samples, 1423?±?208?ng?gsup?1/sup in autumn samples, and 1342?±?672?ng?gsup?1/sup in winter samples. The overall concentration of BC, OC, and dust in aged snow samples collected during the summer campaign was higher than the concentration in ice samples. The values are relatively high compared to reports by others for the Himalayas and the Tibetan Plateau. This is probably the result of taking more representative samples at lower elevation where deposition is higher and the effects of ageing and enrichment are more marked. A reduction in snow albedo of 0.1–8.3?% for fresh snow and 0.9–32.5?% for aged snow was calculated for selected solar zenith angles during daytime using the Snow, Ice, and Aerosol Radiation (SNICAR) model. The daily mean albedo was reduced by 0.07–12.0?%. The calculated radiative forcing ranged from 0.16 to 43.45?W?msup?2/sup depending on snow type, solar zenith angle, and location. The potential source regions of the deposited pollutants were identified using spatial variance in wind vector maps, emission inventories coupled with backward air trajectories, and simple region-tagged chemical transport modeling. Central, south, and west Asia were the major sources of pollutants during the sampling months, with only a small contribution from east Asia. Analysis based on the Weather Research and Forecasting (WRF-STEM) chemical transport model identified a significant contribution (more than 70?%) from south Asia at selected sites. Research into the presence and effect of pollutants in the glaciated areas of Pakistan is economically significant because the surface water resources in the country mainly depend on the rivers (the Indus and its tributaries) that flow from this glaciated area.
机译:黑碳(BC),水不溶性有机碳(OC)和矿物粉尘是雪和冰中的重要颗粒,可显着减少反照率并加速融化。 2015年和2016年,夏季(六个冰川),秋天(两个冰川)和冬季(六个山谷)从巴基斯坦北部的喀喇昆仑山-喜马拉雅山地区收集了地表雪和冰样品。夏季样品中的总BC浓度平均为2130?±?1560?ng?g ?1 ,秋季样品中为2883?±?3439?ng?g ?1 ,冬季样品中为992±±?883?ng?g ?1 。夏季样品中水不溶性OC的平均总浓度为1839?±?1108?ng?g ?1 ,而夏季样品中为1423?±?208?ng?g ?1 。秋季样品,冬季样品为1342?±?672?ng?g ?1 。夏季运动期间收集的老雪样品中的BC,OC和灰尘的总浓度高于冰样品中的浓度。与其他人对喜马拉雅山和青藏高原的报道相比,该数值相对较高。这可能是由于在海拔较高,沉积量较高且衰老和富集效果更显着的较低海拔高度采集更具代表性的样品的结果。使用雪,冰和气溶胶辐射(SNICAR)模型,对于选定的太阳天顶角,在白天,新雪的雪反照率降低了0.1–8.3%,而老雪的雪反照率降低了0.9–32.5%。每日平均反照率降低了0.07-1–22.0%。根据积雪类型,太阳天顶角和位置,计算得出的辐射强迫在0.16至43.45?W?m ?2 范围内。使用风向图中的空间变化,排放清单与后向空气轨迹以及简单的带有区域标签的化学迁移模型,可以确定沉积污染物的潜在源区域。在采样月份中,中亚,南亚和西亚是主要的污染物来源,东亚的贡献很小。根据天气研究与预报(WRF-STEM)化学迁移模型进行的分析确定了南亚在选定地点的重要贡献(超过70%)。由于巴基斯坦的地表水资源主要依赖于从该冰川地区流出的河流(印度河及其支流),因此对巴基斯坦冰川地区污染物的存在及其影响的研究具有重要的经济意义。

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