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RISS 인기검색어
- 검색키워드
- 저자 : Shubham Bhattacharjee (검색결과 2 건)
- 무료
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Shubham Bhattacharjee,Arvind Chandra Pandey 대한공간정보학회 2023 Spatial Information Research Vol.31 No.5
In the present scenario of warming climate, overall health of the glaciers along with sea level rise/fall are directly impacted by glacial dynamics. However due to inaccessible high altitude regions and devastating climate, the in-situ observations are hindered via field excursions. The present study incorporated usability of geographical information system based ice-flow velocity approach using glacier surface velocity and slope for estimating thickness of Zemu glacier in Sikkim. The study revealed thickness of 80 ± 9.6 m to 160 ± 19.2 m near snout followed by 240 ± 28.8 m to 320 ± 38.4 m in upper reaches of accumulation zone of Zemu glacier. However due to gentle slope, thickness ranged between 320 ± 38.4 m and > 400 ± 49.2 m (~ 418 ± 50.16 m) was observed in the central trunk or middle reaches of the glacier. An uncertainty of 12% was observed while calculation the glacier thickness. Relationship between glacier velocity and depth has also been established which has shown inverse characteristics due to variability of bed topography and drag effects. Proper validation of results for each study with existing field observations and literatures depicted the utility and correctness of the present study via satellite based observations.
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Munizzah Salim,Shubham Bhattacharjee 대한공간정보학회 2024 Spatial Information Research Vol.32 No.1
World Health Organization (WHO) on 30th January 2020 declared a Public Health Emergency of International Concern during the spread of novel coronavirus in the early months of 2020 across 188 countries. The Indian government has imposed a 21-day lockdown during the first Coronavirus Virus Disease – 19 (COVID-19) wave starting from 25th March to 14th April initially. The state-wise lockdown was again imposed during the second wave (mid-march) to curb the spread. The present study focused on the effect of the lockdown during the COVID-19 s wave on the spatiotemporal variability of air pollutants in the Varanasi region, and on turbidity levels of the Ganga river using remote sensing. A decreasing trend for the selected air pollutants (NO2, SO2, CO, and HCHO), and turbidity levels were observed during the lockdown period which revealed improved air as well as water quality. The results of the present study provide robust insight into air and water quality measurements with methodological advancement in pollution susceptibility studies and can be used to achieve futuristic observations of patterns of turbidity levels. These results indicate that avoiding poor transportation planning and adopting sustainable plans across the urban agglomerations in India could reduce a significant amount of air pollution levels.
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