沉降在雪冰表面的吸光性物质（如黑碳、有机碳、粉尘等）是降低雪冰反照率和加速雪冰消融不可忽视的重要因素。北疆是典型的内陆干旱半干旱地区，近年来该区域积雪加速消融导致融雪性洪水频发，对当地社会经济发展及生态安全造成严重威胁。本项目依托北疆3个基准观测站、10个固定观测点和1个试验区，通过实地观测和实验室分析，获取北疆积雪中吸光性物质含量的时空分布特征及迁移、富集过程，利用SNow ICe Aerosol Radiative（SNICAR）模型量化积雪中吸光性物质对积雪反照率降低的影响，结合融雪径流模型，在试验区定量评估北疆积雪中吸光性物质含量变化对积雪消融量和消融时间的影响。该项目不仅有助于理解吸光性物质对积雪消融影响的潜在机理，而且可以为促进北疆寒区水文循环与过程研究提供重要科学依据。

Light absorbing impurities (LAIs, e.g., black carbon, organic carbon, and mineral dust) deposited on snow and glaciers reduce the albedo and accelerate their melting. Northern Xinjiang is a typical arid and semi-arid inland, the accelerated snow melt lead to frequent snowmelt flood which is a serious threat to the local socio-economic development and ecological security in recent years. In this project, based on 3 reference stations, 10 fixed observation stations and 1 test area we have established in northern Xinjiang, the spatiotemporal variations and the transformation of the LAIs will be investigated by the field observation and laboratory analysis. The SNow ICe Aerosol Radiative (SNICAR) model is used to simulate the effects of LAIs on snow albedo reduction. Based on the Snow Runoff Model (SRM), the effects of LAIs on snowmelt runoff will be quantified in the test area. Overall, the research results are expected to provide valuable and fundamental scientific basis for promoting the research in hydrological cycle in cold regions of northern Xinjiang.