Assessing the spatial dispersion of products of the fumarolic activity using remotely sensed snow color in an alpine environment
Assessing the spatial dispersion of products of the fumarolic activity using remotely sensed snow color in an alpine environment
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使用高山环境中遥感雪色评估喷气活动产物的空间分散
DOI：
10.1016/j.rse.2019.111351
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发表时间：
2019
影响因子：
13.5
通讯作者：
Wada Naoya
中科院分区：
文献类型：
--
作者：
Sazawa Kazuto;Kawamura Kensuke;Yasuda Taisuke;Kuramitz Hideki;Wada Naoya
含硫火山气体SO2和H2S对生态系统有直接影响，并可能危害人类健康。有关富马酚气体扩散模式的及时信息对于预测潜在影响至关重要。然而，实时定点观测在高山地区是困难的，因为那里的积雪是季节性变化的，而且对地面观测者有潜在的危险。因此，在这项研究中，我们使用色度计、数码相机和无人机(UAV)图像测试了一项新技术，以评估2013年至2015年期间在日本中部Tateyama山脉积雪覆盖的位置上燃烧气体中硫磺颗粒的扩散情况。在0~0.5 cm深度采集雪样，用X射线荧光分析法测定硫磺颗粒含量。分析了融雪溶液中的溶解离子浓度，以阐明亚洲黄尘(KOSA)对雪面颜色的贡献。无人机拍摄的RGB彩色图像被转换到CIE-Lab颜色空间，有三个轴：X轴从红色变为绿色(a*)，Y轴从黄色变为蓝色(b*)，Z轴从白色变为黑色(L*)。烟雾区雪面绿色和黄色色度增加，且与雪面硫磺颗粒密度呈显著正相关(R2= 0.853，P<； 0.001)。这些结果表明，雪面颜色的航空图像可以用来估算大气中硫磺粒子的扩散。
The sulfur-bearing volcanic gases SO2and H2S have a direct impact on ecosystems and can endanger human health. Timely information regarding dispersion patterns of fumarolic gases is crucial for predicting potential impacts. However, real-time fixed-point observations are difficult in alpine areas where snow accumulation is seasonably variable, in addition to being potentially dangerous to on-the-ground observers. Thus, in this study we tested a novel technique using a colorimeter, digital camera, and an unmanned aerial vehicle (UAV) imagery to evaluate the dispersion of sulfur particles from fumarolic gas over a snow-covered location in the Tateyama Mountain Range, central Japan, from 2013 to 2015. Snow samples were collected at the depths ranging from 0 to 0.5 cm and the sulfur particle content was determined by X-ray fluorescence analysis. The dissolved ion concentrations in snow melt solutions were analyzed to clarify the contribution of Asian yellow dust (KOSA) to the snow surface color. RGB color images captured by the UAV were converted to CIE-Lab color space with three axes: X axis changed from red to green (a*), Y axis from yellow to blue (b*), and Z axis from white to black (L*). The color levels of green and yellow increased in the snow surface of fumarolic areas and showed a significant correlation with the densities of sulfur particles on the snow surface (r2= 0.853,P< 0.001). These results indicated that aerial images of snow surface color can be used for estimation of sulfur particle dispersion from fumarolic gases.
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在 pH 13 和 40°C 下，与原水铁矿快速形成针铁矿相关的颜色变化
影响因子：
2.2
作者：
T. Nagano;S. Nakashima;S. Nakayama;K. Osada;M. Senoo
通讯作者：
M. Senoo
2008 年 3 月，关于导致俄罗斯北欧黄雪的大气尘埃成分的首个数据
影响因子：
0.9
作者：
V. Shevchenko;V. Korobov;A. P. Lisitzin;A. Aleshinskaya;O. Bogdanova;N. Goryunova;I. Grishchenko;O. Dara;N. N. Zavernina;E. I. Kurteeva;E. Novichkova;O. S. Pokrovsky;F. V. Sapozhnikov
通讯作者：
F. V. Sapozhnikov
火山气体远程CO、COS、CO2、SO2、HCl检测及温度估算
DOI：
--
发表时间：
1997
期刊：
影响因子：
--
作者：
Toshiya Mori;K. Notsu
通讯作者：
K. Notsu
火山气体中的硫物质。
影响因子：
7.4
作者：
G. Montegrossi;F. Tassi;O. Vaselli;and Antonella Buccianti;Kristin Garofalo
通讯作者：
Kristin Garofalo
影响因子：
5.2
作者：
McGonigle, AJS;Oppenheimer, C;Pyle, DM
通讯作者：
Pyle, DM