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首页> 外文期刊>Atmospheric chemistry and physics >Simulations of black carbon (BC) aerosol impact over Hindu Kush Himalayan sites: validation, sources, and implications on glacier runoff
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Simulations of black carbon (BC) aerosol impact over Hindu Kush Himalayan sites: validation, sources, and implications on glacier runoff

机译:黑碳(BC)气溶胶影响在印度教Kush Himalayan网站的模拟:验证,来源和对冰川径流的影响

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We estimated the black carbon (BC) concentration over the Hindu Kush Himalayan region (HKH), its impact on snow albedo reduction, and sensitivity on annual glacier runoff over the identified glaciers. These estimates were based on free-running aerosol simulations (freesimu) and constrained aerosol simulations (constrsimu) from an atmospheric general circulation model, combined with numerical simulations of a glacial mass balance model. BC concentration estimated from freesimu performed better over higher altitude (HA) HKH stations than that over lower altitude (LA) stations. The estimates from constrsimu mirrored the measurements well when implemented for LA stations. Estimates of the spatial distribution of BC concentration in the snowpack (BCc) over the HKH region led to identifying a hot-spot zone located around Manora Peak. Among glaciers over this zone, BCc ( 60 mu g kg(-1)) and BC-induced snow albedo reduction (approximate to 5 %) were estimated explicitly being high during the pre-monsoon for Pindari, Poting, Chorabari, and Gangotri glaciers (which are major sources of fresh water for the Indian subcontinent). The rate of increase of BCc in recent years (i.e., over the period 1961-2010) was, however, estimated to be the highest for the Zemu Glacier. Sensitivity analysis with a glacial mass balance model indicated the increase in annual runoff from debris-free glacier areas due to BC-induced snow albedo reduction (SAR) corresponding to the BCc estimated for the HKH glaciers was 4 %-18 %, with the highest being for the Milam and Pindari glaciers. The rate of increase in annual glacier runoff per unit BC-induced percentage SAR was specifically high for Milam, Pindari, and Sankalpa glaciers. The source-specific contribution to atmospheric BC aerosols by emission sources led to identifying the potential emission source being primarily from the biofuel combustion in the Indo-Gangetic Plain south of 30 degrees N, but also from open burning in a more remote regio
机译:我们估计了印度诗喜马拉雅地区(HKH)的黑碳(BC)浓度,其对雪剂的影响,对识别的冰川上的年度冰川径流的敏感性。这些估计基于自由运行的气溶胶模拟(Freesimu)和来自大气通用循环模型的约束气溶胶仿真(Constresimu),结合冰川质量平衡模型的数值模拟。 BC浓度从Freesimu估计,在更高的高度(HA)HKH站上表现优于更低的高度(LA)站。来自CONSTRSIMU的估计在为LA站实施时呈现良好的测量。 HKH地区在雪橇区(BCC)中BC浓度的空间分布的估计导致识别位于Manora峰周围的热点区域。在该区的冰川中,BCC(& 60 mu g kg(-1))和BC诱导的雪剂还原(近似为5%)在Pindari,Peting,Chorabari和PineSoon前的季风期间明确地显式估计很高甘蓝冰川(这是印度次大陆的新鲜水源的主要来源)。然而,近年来BCC的增加率(即,在1961 - 2010年期间)估计是Zemu冰川的最高。具有冰川质量平衡模型的敏感性分析表明,由于BC诱导的雪玻璃玻璃冰川地区的年径流量增加(SAR)对应于HKH冰川的BCC估计的BCC为4%-18%,最高适用于米兰和Pindari冰川。每单位BC诱导百分比SAR的年度冰川径流率为SAR特别高,适用于米兰,Pindari和Sankalpa冰川。通过排放源对大气BC气溶胶的源特定贡献导致识别潜在的排放源主要来自南南部的印度难以燃烧的生物燃料燃烧,而且还从更远的remoio中的开放燃烧

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