• International Journal of Contents
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• 제16권2호
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• pp.92-101
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• 2020

Industrial integration is the innovative embodiment of regional economic theory. The promotion of industrial integration is conducive to improving the scale effect and spillover effect of the industry. Also, it has the power to radiate, drive, and lead the innovation and development of the whole industrial cluster. The purpose of this paper was to identify the most suitable development pattern of the ice-snow sports tourism industry in Zhangjiakou, one of the host cities of the 2022 Winter Olympics. This study combs the characteristics of the development of the ice-snow sports industry, and analyzes the current situation of the industry in Zhangjiakou based on the SWOT-AHP method. This paper argues that the integrated industry is the most suitable development pattern for the promotion of the ice-snow culture industry in Zhangjiakou. The following content will present effective countermeasures to accelerate the development of the ice-snow culture industry integration in Zhangjiakou from three aspects: industrial resource integration, industrial chain layout, and scientific and technological innovation. The IT live simulation technique facilitates identifying some vital elements during the data collection.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.278-281
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• 2007

The purpose of this study is to develop snow and sea ice detection algorithm in Communication, Ocean and Meteorological Satellite (COMS) meteorological data processing system. Since COMS has only five channels, it is not affordable to use microwave or shortwave infrared data which are effective and generally used for snow detection. In order to estimate snow and sea ice coverage, combinations between available channel data(mostly visible and 3.7 ${\mu}m$) are applied to the algorithm based on threshold method. As a result, the COMS snow and sea ice detection algorithm shows reliable performance compared to MODIS products with channel limitation. Specifically, there is partial underestimation over the complicated vegetation area and overestimation over the area of high level clouds such as cirrus. Some corrections are performed by using water vapor and infrared channels to remove cloud contamination and by applying NDVI to detect more snow pixels for the underestimated area.

• Ocean and Polar Research
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• 제33권1호
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• pp.1-11
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• 2011

This study describes measurements of fast ice recorded on May 23, 2009, in Kongsfjorden (translated as 'Kongs Fjord'), an inlet on the west coast of Spitsbergen in the Svalbard Archipelago. Seasonal fast ice is an important feature for Svalbard fjords, both in relation to their physical environment and also the local ecosystem, since it grows seaward from the coast and remains in place throughout the winter. Ice thickness, snow, ice properties, and wind speed were measured, while SAR (Synthetic Aperture Radar) data was observed simultaneously observed two times from ALOS-PALSAR (L-band). Measured ice thickness was about 25-35 cm while the thickness of ice floe broken from fast ice was measured as 10-15 cm. Average salinity was 1.9-2.0 ppt during the melting period. Polarimetric data was used to extract H/A/alpha-angle parameters of fast ice, ice floe, snow and glacier, which was classified into 18 classes based on these parameters. It was established that the area of fast ice represents surface scattering which indicates low and medium entropy surface scatters such as Bragg and random surfaces, while fast ice covered with snow belongs to a zone of low entropy surface scattering similar to snow-covered land surfaces. The results of this study will contribute to various interpretations of interrelationships between H/A/alpha parameters and the wave scattering Phenomenon of sea ice.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2006년도 추계학술대회 논문집
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• pp.143-144
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• 2006

• 대한원격탐사학회지
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• 제30권4호
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• pp.481-491
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• 2014

빙상이나 빙하, 빙붕에서 푸른색의 얼음이 지표에 노출되어 있는 지역을 청빙지대라 한다. 이는 빙하 표면에 쌓인 눈이 바람에 의해 침식되거나 기온과 일사량에 따른 승화로 인해 대부분 제거되기 때문이다. 청빙지대는 운석이 농집되기 쉽고 빙체의 질량균형에 매우 큰 영향을 미치기 때문에, 청빙의 노출도 및 밀집도에 대한 정량적 지표의 개발이 요구되고 있다. 이 연구에서는 2007~2012년에 동남극 맥머도 드라이벨리를 촬영한 MODIS 영상을 이용하여 청빙과 눈, 구름의 분광반사특성을 분석하고, 청빙의 노출도 및 밀집도를 정량화 할 수 있는 정규청빙지수(Normalized Difference Blue-ice Index, NDBI) 알고리즘을 고안하였다. 눈과 구름은 가시광선과 근적외선 파장대역에서 매우 높은 반사율을 나타낸다. 청빙은 청색 파장대역에서 높은 반사율을 보이는 반면에, 근적외선 파장대역에서 낮은 반사율을 보인다. NDBI 알고리즘은 청색과 근적외선 파장대역에서의 반사율 차이를 두 반사율의 합으로 나누는 것으로 표현된다[NDBI = (Blue - NIR)/(Blue + NIR)]. 청빙의 NDBI는 노출도와 밀집도에 따라 0.2~0.5의 값을 가지며, 0.2 이하의 값을 가지는 눈과 구름이나 음수의 값을 나타내는 암석으로부터 명확히 구분되었다. 청빙의 NDBI가 시간에 따라 변화하는 현상은 맥머도 드라이벨리의 기상관측소에서 측정된 풍속($R^2=0.012$)이나 기온($R^2=0.278$) 보다는 적설두께와 가장 높은 상관성($R^2=0.699$)을 나타냈다. 적설두께가 증가할수록 NDBI 값은 감소하였는데, 이는 청빙지대의 NDBI 값으로부터 적설량의 추정이 가능함을 의미한다. 이 연구에서 개발된 NDBI 알고리즘은 운석탐사, 빙체의 질량균형 분석, 적설량 추정 등 다양한 극지연구 분야에서 매우 유용하게 사용될 것으로 전망된다.

• 대기
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• 제25권1호
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• pp.155-167
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• 2015

A dynamical seasonal prediction system for boreal winter utilizing cryospheric information was developed. Using the Community Atmospheric Model, version3, (CAM3) as a modeling system, newly developed snow depth initialization method and sea ice concentration treatment were implemented to the seasonal prediction system. Daily snow depth analysis field was scaled in order to prevent climate drift problem before initializing model's snow fields and distributed to the model snow-depth layers. To maximize predictability gain from land surface, we applied one-month-long training procedure to the prediction system, which adjusts soil moisture and soil temperature to the imposed snow depth. The sea ice concentration over the Arctic region for prediction period was prescribed with an anomaly-persistent method that considers seasonality of sea ice. Ensemble hindcast experiments starting at 1st of November for the period 1999~2000 were performed and the predictability gain from the imposed cryospheric informations were tested. Large potential predictability gain from the snow information was obtained over large part of high-latitude and of mid-latitude land as a result of strengthened land-atmosphere interaction in the modeling system. Large-scale atmospheric circulation responses associated with the sea ice concentration anomalies were main contributor to the predictability gain.

• 자원환경지질
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• 제54권1호
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• pp.61-67
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• 2021

고체상의 눈 또는 얼음의 안정동위원소 값은 과거의 기후를 복원하고 동위원소 수문분리의 단성분으로 기여율을 계산하는 데에 사용되어 왔다. 융해와 냉동이 일어나면서 눈 또는 얼음과 액체상의 물 사이의 동위원소 분별작용이 일어나는데, 융해는 상대적으로 현장, 실험 및 모델연구를 통해 연구결과가 제시되어 있지만, 냉동에 대해서는 알려진 것이 많지 않다. 본 논평에서는 평형 냉동이 발생할 때 물의 두 안정동위원소인 산소, 수소의 선형관계 및 레일리분별과정을 통해 냉동에 의한 동위원소 분별과정을 고찰하였다. 해양에서 증발한 수증기에 의해 응축된 눈은 기울기 8을 가지는 지구천수선을 따라 움직이지만, 냉동 및 융해가 발생하게 되면 기울기 19.5/3.1~6.3을 가지는 선형관계를 나타내게 된다. 평형냉동 동안 레일리분별과정에 의해 액체상인 물은 열린 계와 닫힌계에서 같은 동위원소변동을 보여 주었다. 눈 또는 얼음이 제거되는 열린 계에서는 남아있는 물의 안정동위원소와 분별계수만큼의 차이를 가지면서 높은 값을 나타내었다. 닫힌 계에서는 초기 액체상의 물의 동위원소 값으로 눈 또는 얼음은 수렴하였다. 냉동에 의한 눈 또는 얼음의 동위원소변동과정은 고기후 연구 및 수문분리의 정확도를 증가시킬 것으로 기대된다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2004년도 추계학술대회 논문집
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• pp.302-307
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• 2004

When trains run over a snow-covered track at high speed, the snow accereted under car bodies may drop during train running. The dropped snow/ice lumps scatter the ballast on the track damaging the car body and the environment along the track in snowy regions. In this study, the snow-fall condition in winter around the Seoul-Busan high-speed line has been investigated to yield the countermeasure for the high-speed line. The climate near Japanese and French high-speed line as well as the relationship between the climate and countermeasure has also been investigated and the direction of countermeasure for Seoul-Busan high-speed line has been deduced. Consequently, the amount and frequency of snow-fall near Seoul-Busan high-speed line is less than that of Japan and France, so the speed restriction could be the fundamental countermeasure for Seoul-Busan high-speed line, and additional measure on rolling stock and infrastructure should be followed.

• 한국산업융합학회 논문집
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• 제25권5호
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• pp.843-851
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• 2022

This paper was conducted to study the conditions for the manufacture and operation of artificial snow removal and ice-making test facilities so that the test equipment can be tested in a low-temperature environment using the polar environment performance test facility. The polar environment performance test Facility is designed to artificially simulate extreme environments up to -65 ℃, and is a mid-to-large low-temperature environment test facility that can perform performance tests on offshore plant equipment, ships, leisure, and offshore structures. To verify the safety of deck work of ships operating in polar environments, artificial snow removal and artificial ice making devices were manufactured, and we conducted research on various operating environments using these facilities. For the efficient operation of artificial snow and ice making facilities, it is important to continuously supply dry air, and it has been found that installing an additional heater at the tip of the nozzle is effective in preventing freezing.

• 대기
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• 제23권1호
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• pp.73-83
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• 2013

In recent several years, East Asia, Europe and North America have suffered successive cold winters and a number of historical records on the extreme weathers are replaced with new record-breaking cold events. As a possible explanation, several studies suggested that cryospheric conditions of Northern Hemisphere (NH), i.e. Arctic sea-ice and snow cover over northern part of major continents, are changing significantly and now play an active role for modulating midlatitude atmospheric circulation patterns that could bring cold winters for some regions in midlatitude. In this study, a dynamical seasonal prediction system for NH winter is newly developed using the snow depth initialization technique and statistically predicted sea-ice boundary condition. Since the snow depth shows largest variability in October, entire period of October has been utilized as a training period for the land surface initialization and model land surface during the period is continuously forced by the observed daily atmospheric conditions and snow depths. A simple persistent anomaly decaying toward an averaged sea-ice condition has been used for the statistical prediction of sea-ice boundary conditions. The constructed dynamical prediction system has been tested for winter 2012/13 starting at November 1 using 16 different initial conditions and the results are discussed. Implications and a future direction for further development are also described.