College of Geomatics Science and Technology, Nanjing Tech University, Nanjing, 211816, China.
Geospatial Information Research Center, Nanjing Tech University, Nanjing, 211816, China.
Sci Rep. 2022 Jul 7;12(1):11565. doi: 10.1038/s41598-022-15722-5.
Because of the distinctive vertical climate and topography gradients in the alpine region, the snow cover of the Tienshan Mountains possesses complex spatiotemporal heterogeneity, particularly during the melting process. Quantifying the environmental factors is therefore crucial to understanding the melting process and for predicting and managing snowmelt runoff. Herein, the snow cover area, grain size, and contamination extent were determined to characterize the detailed melting status based on surface reflectance data of MOD09A1 in the central Tienshan Mountains from 2013 to 2017. The environmental factors collected include relief (elevation, slope, and aspect); meteorology (surface air temperature, land surface temperature, solar radiation, and wind speed); and land surface vegetation. Analysis of the geodetector results indicated the following. (1) Patterns of changes in the overall dominant environmental variables were consistent for the pre-, mid-, and post-melting periods defined according to the decline of snow cover area over five years. (2) The overall major environmental factors were wind speed and radiation (pre-period), land surface temperature and elevation (mid-period), and elevation and land surface types (post-period), respectively. (3) Regional distinctions were detected of the dominant environmental factors. In the pre-melting period, the effects of solar radiation and wind speed were noticeable in the north and south regions, respectively. The effects of elevation, land surface temperature, and land cover types became more prominent in all regions during the mid- and post-melting periods. (4) Interaction between the major environmental factors was significantly enhanced on both the overall and regional scales, thus affecting the snow-melting process. Finally, the energy distribution mismatch resulted in the snowmelt. Multiple environmental factors substantially affect heat redistribution at different spatiotemporal scales, resulting in the snowmelt as a complex manifestation of the factors and their interactions. The findings highlight regional differences in various environmental factors of the melting process and offer a theoretical foundation for the melting process at various scales over multiple years.
由于天山地区独特的垂直气候和地形梯度,积雪具有复杂的时空异质性,尤其是在融化过程中。因此,量化环境因素对于理解融化过程以及预测和管理融雪径流至关重要。在这里,根据 2013 年至 2017 年天山中部 MOD09A1 的地表反射率数据,确定积雪面积、粒度和污染程度,以描述详细的融化状态。收集的环境因素包括地形(海拔、坡度和方位);气象(地表气温、地表温度、太阳辐射和风速);和地表植被。地理探测器分析结果表明:(1)根据五年内积雪面积的减少来定义的融化前、中、后期,整体主导环境变量的变化模式是一致的;(2)整体主要环境因素分别为风速和辐射(融化前期)、地表温度和海拔(融化中期)、海拔和地表类型(融化后期);(3)检测到主导环境因素的区域差异。在融化前期,太阳辐射和风速的影响在南北地区分别显著。在中、后期,海拔、地表温度和地表覆盖类型的影响在所有地区都更加明显;(4)主要环境因素之间的相互作用在整体和区域尺度上都显著增强,从而影响融雪过程。最后,能量分布失配导致了融雪。多个环境因素在不同时空尺度上显著影响热量的重新分配,导致融雪是各种因素及其相互作用的复杂表现。这些发现突出了融化过程中各种环境因素的区域差异,为多年来不同尺度的融化过程提供了理论基础。