JpGU-AGU Joint Meeting 2017

講演情報

[EE] ポスター発表

セッション記号 H (地球人間圏科学) » H-DS 防災地球科学

[H-DS13] [EE] Remote Sensing of Natural Hazards and Mitigation of Impacts on Human/Ecosystem

2017年5月25日(木) 13:45 〜 15:15 ポスター会場 (国際展示場 7ホール)

コンビーナ:Ramesh P Singh(Chapman University)、後藤 和久(東北大学災害科学国際研究所)、Patra Prabir(Research Institute for Global Change, JAMSTEC)

[HDS13-P04] Performance evaluation of low-cost poor-visibility meter for hyper-densely observation of blowing snow

*小林 ゆい1渡辺 恭也1川俣 大志1,2成瀬 延康3根本 征樹4西村 浩一5高橋 幸弘1,6 (1.北海道大学グローバルサイエンスキャンパス、2.北海道大学高等教育推進機構、3.滋賀医科大学、4.防災科学技術研究所雪氷防災研究センター、5.名古屋大学大学院環境学研究科、6.北海道大学大学院理学研究院)

キーワード:Blowing snow, Disaster Prevention, Instrument Development

In our previous study, we developed a low-cost poor-visibility meter (~\500,00) for hyper-densely observation of blowing snow. Our developed instrument works as a reduced intensity of light when snow particles block off. We used semiconducting laser for the light source (~\500). The laser beam is reflected three times by using mirrors and it enables us to make compact instrument with enough length of light path. Our developed system has a capability of extending a hyper-densely observation in real-time using wireless network. Our study aims performance evaluation of the low-cost poor-visibility meter for hyper-densely observation of blowing snow in the condition of artificial and natural one. We have checked the correlation between the reduced laser intensity taken by our system and the visibility recorded by conventional video camera simultaneously; the visibility corresponds to the pixel intensity obtained from the movie (1frame 1/30sec, 8-bit). Natural (Artificial) blowing snow was measured in Sapporo City (Cryospheric Environment Simulator of the Shinjo Branch, Snow and Ice Research Center, National Research Institute for Earth Science and Disaster Prevention in Shinjo city). The wind velocity was 10-15m/s and temperature was from -4℃ to -15℃. We have performed theoretical analysis for the relation between the laser intensity and the poor visibility based on our original formulation. The resultant value for the correlation coefficient in artificial blowing snow was 0.95. In conclusion, we have conducted the performance evaluation of the low-cost poor-visibility meter for hyper-densely observation of blowing snow, having a potential of hyper-densely monitoring on wireless network, and have made sure the practicability.