Abstract

We estimated the dust aerosol influx into the snow cover in the region of Nizhnevartovsk. The average content of solid insoluble particles in snowmelt waters for conventionally background area is 12.0 mg/L, four times larger than for the reference uncontaminated territories. The high local background is typical for the Middle Ob River area and is due to the effect of remote oil production plants. Under urban conditions, the aerosol dust influx increases by a factor of 7.5 relative to conventionally background area. The dust particle influx leads an intense alkalization of snow cover. Results obtained during field tests are compared with spectral properties of snow. Landsat-8 (OLI sensor) data are used to calculate snow indices (normalized difference index, normalized index, and contamination index), which agree with ground-based observations and can be used to estimate the technogenic contamination level. The normalized snow index is optimal to estimate the amount of dust sediments, and snow contamination index is optimal to estimate acid–base (pH) conditions.

中文翻译：

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利用地球遥感数据估算积雪中的粉尘沉积量：下涅瓦尔托夫斯克的例子

摘要

我们估计了下尼瓦尔托夫斯克地区的尘埃气溶胶流入雪盖。常规背景区域中，融雪水中固体不溶性颗粒的平均含量为12.0 mg / L，是参考未污染地区的四倍。鄂毕河中部地区典型的高局部背景是由于偏远的采油厂的影响。在城市条件下，相对于常规背景区域，气溶胶粉尘涌入量增加了7.5倍。灰尘的涌入会导致积雪强烈碱化。将现场测试期间获得的结果与雪的光谱特性进行比较。Landsat-8（OLI传感器）数据用于计算降雪指数（归一化差异指数，归一化指数和污染指数），这些指数与基于地面的观测结果一致，可以用于估算技术污染水平。归一化的雪指数最适合估算灰尘沉积物的数量，雪污染指数最适合估算酸碱（pH）条件。