• 한국작물학회지
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• 제65권1호
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• pp.56-62
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• 2020

본 연구는 북한 지역에 적합한 콩 품종의 기상생태형을 설정하고 그 특성을 제시하기 위하여 실시하였다. 지역의 일별 최저온도를 기준으로 콩 수확 한계기와 최대 재배일수를 결정하였으며, 이를 적용하여 지역별 콩 기상생태형을 분류하였고 그 특성은 다음과 같다. 1. 북한 지역의 콩 기상생태형 군은 총 8군으로 분류하였다. I군은 서해안 남부와 동해안 남부지역으로, II-1군은 서해 내륙의 남부에서 북부에 걸친 지역으로, II-2군은 동해안 중부지역으로, III-1군은 중부 내륙지역으로, III-2군은 동해안 북부지역으로, IV-1군은 중부 내륙 산간지역으로, IV-2군은 북부 내륙지역으로, IV-3군은 동해안 최북단과 북부 내륙 산간지역으로 결정되었다. 2. 수확 한계기는 I군에 속하는 남부 서해안과 동부 동해안 지역이 10월 21일~29일로 가장 늦었고, 중부 내륙과 산간지역으로 갈수록 짧아져 IV군에서는 9월 18일~10월 2일로 가장 빨랐다. 3. 최대 생육일수는 I군은 153~160일로 가장 길었으며, 북부산간 지역인 IV-3군은 100~111일로 가장 짧았다. 4. 총 생육일수를 110일로 가정하였을 때, 기상생태형 I군의 개화 한계기는 8월 12일~19일로 일장은 13.5~13.8 h이었으며, II군은 8월 2일~6일에 14~14.2 h, III군은 7월 27일~8월 2일에 14.2~14.4 h, IV군은 7월 10일~22일에 14.5~14.8 h이었다. 5. 총 생육일수를 110일로 가정하였을 때 적산온도는 서해 내륙에 있는 2-1군이 2,400℃ 이상으로 높았으며, 청진, 선봉, 중강 지역을 제외한 모든 지역에서 2,300℃ 이상을 보였다. 6. 최대 재배일수를 기준으로 산정한 적산온도는 I군과 II-1군은 3,000℃ 이상의 적산온도를 보였으며, II-2군, III-1군, 및 IV-1군은 2,500℃ 이상의 적산온도를 기록하였다.

• Asian Journal of Atmospheric Environment
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• 제9권2호
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• pp.114-127
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• 2015

In the Mexico City Metropolitan Area (MCMA), ozone ($O_3$) concentration is still higher than in other urban areas in developed countries. In order to reveal the current state of photochemical air pollution and to provide data for validation of chemical transport models, vertical profiles of meteorological parameters and ozone concentrations were measured by ozonesonde in two field campaigns: the first one, during the change of season from wet to dry-cold (November 2011) and the second during the dry-warm season (March 2012). Unlike previous similar field campaigns, ozonesonde was launched twice daily. The observation data were used to analyze the production and distribution of ozone in the convective boundary layer. The observation days covered a wide range of meteorological conditions, and various profiles were obtained. The evolution of the mixing layer (ML) height was analyzed, revealing that ML evolution was faster during daytime in March 2012 than in November 2011. On a day in November 2011, the early-morning strong wind and the resulting vertical mixing was observed to have brought the high-ozone-concentration air-mass to the ground and caused relatively high surface ozone concentration in the morning. The amount of produced ozone in the MCMA was estimated by taking the difference between the two profiles on each day. In addition to the well-known positive correlation between daily maximum temperature and ozone production, effect of the ML height and wind stagnation was identified for a day in March 2012 when the maximum ground-level ozone concentration was observed during the two field campaigns. The relatively low ventilation coefficient in the morning and the relatively high value in the afternoon on this day implied efficient accumulation of the $O_3$ precursors and rapid production of $O_3$ in the ML.

• 한국토양비료학회지
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• 제50권5호
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• pp.422-433
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• 2017

Unmanned Aerial Vehicle (UAV) has several advantages over conventional remote sensing techniques. They can acquire high-resolution images quickly and repeatedly. And with a comparatively lower flight altitude, they can obtain good quality images even in cloudy weather. In this paper, we developed for estimating garlic growth at field scale model in major cultivation regions. We used the $NDVI_{UAV}$ that reflects the crop conditions, and seven meteorological elements for 3 major cultivation regions from 2015 to 2017. For this study, UAV imagery was taken at Taean, Changnyeong, and Hapcheon regions nine times from early February to late June during the garlic growing season. Four plant growth parameters, plant height (P.H.), leaf number (L.N.), plant diameter (P.D.), and fresh weight (F.W.) were measured for twenty plants per plot for each field campaign. The multiple linear regression models were suggested by using backward elimination and stepwise selection in the extraction of independent variables. As a result, model of cold type explain 82.1%, 65.9%, 64.5%, and 61.7% of the P.H., F.W., L.N., P.D. with a root mean square error (RMSE) of 7.98 cm, 5.91 g, 1.05, and 3.43 cm. Especially, model of warm type explain 92.9%, 88.6%, 62.8%, 54.6% of the P.H., P.D., L.N., F.W. with a root mean square error (RMSE) of 16.41 cm, 9.08 cm, 1.12, 19.51 g. The spatial distribution map of garlic growth was in strong agreement with the field measurements in terms of field variation and relative numerical values when $NDVI_{UAV}$ was applied to multiple linear regression models. These results will also be useful for determining the UAV multi-spectral imagery necessary to estimate growth parameters of garlic.

• 한국기후변화학회지
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• 제5권1호
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• pp.13-19
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• 2014

1986년 농촌진흥청에서는 벼 작물을 기준으로 전국의 기온, 강수량, 일조시간 등 기후요소의 분석과 평가를 통해, 전국을 19개 농업기후지대로 구분하였고(제주도 제외), 현재까지 벼의 안전재배기준과 기상재해 대책 등에 활용되고 있다. 본 연구에서는 최근 40년 동안 벼 작물 기준 19개 농업기후지대와 제주지역을 포함한 총 20개 농업기후지대의 연대별 기후요소의 변화 양상과 특징을 비교 분석하였다. 기상청 방재기상정보포탈시스템에서 서비스하는 1971년부터 2010년까지 40년 동안의 일별 기상자료를 바탕으로 연대별(1970년대, 1980년대, 1990년대, 2000년대)로 구분하여 분석하였다. 기간별 연평균기온은 1970년대의 $12.0{\pm}0.14^{\circ}C$에서, 1980년대의 $11.9{\pm}0.13^{\circ}C$와 1990년대의 $12.2{\pm}0.14^{\circ}C$를 거쳐 2000년대의 $12.6{\pm}0.13^{\circ}C$로 높아졌고, 기간별 연평균강수량은 1970년대의 $1,270.3{\pm}20.05mm$에서 1980년대의 $1,343.0{\pm}26.01$와 1990년대의 $1,350.6{\pm}27.13mm$를 거쳐 2000년대의 $1,416.8{\pm}24.87mm$로 증가한 것으로 분석된 반면에, 기간별 연평균 일조시간은 1970년대의 $2,421.7{\pm}18.37$시간에서 1980년대의 $2,352.4{\pm}15.01$시간과 1990년대의 $2,196.3{\pm}12.32$시간을 거쳐 2000년대의 $2,146.8{\pm}15.37$시간으로 크게 줄어든 것으로 조사되었다. 이들 기후요소를 농업기후지대별로 재분석하면, 연간 평균기온의 상승률은 중부 내륙지대($+1.2^{\circ}C$)와 동해안 남부지대($+1.1^{\circ}C$)에서 가장 높았고, 연간 누적강수량의 증가율은 태백고냉지대(+364 mm)와 태백준고냉지대(+326 mm)에서 가장 컸으며, 연간 누적일조시간은 중부 내륙지대(-995시간)에서 가장 많이 줄어든 것으로 평가되었다. 통계적으로 연간 평균기온(F=2.708, df=3, p=0.046)과 연간 누적강수량(F=5.037, df=3, p=0.002)은 유의하게 높아지거나 증가하였고, 연간 누적일조시간(F=26.181, df=3, p<0.0001)은 유의하게 감소하였다. 향후 벼 작물 농업기후지대 재구분을 통하여 각 농업기후지대별 기후특성에 적합한 벼 재배 안전작기, 벼 생육특성 및 작부체계 등에 대한 연구가 필요하다.

• Journal of Information Processing Systems
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• 제11권4호
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• pp.556-572
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• 2015

This paper presents the applications of spatial interpolation and assimilation methods for satellite and ground meteorological data, including temperature, relative humidity, and precipitation in regions of Vietnam. In this work, Universal Kriging is used for spatially interpolating ground data and its interpolated results are assimilated with corresponding satellite data to anticipate better gridded data. The input meteorological data was collected from 98 ground weather stations located all over Vietnam; whereas, the satellite data consists of the MODIS Atmospheric Profiles product (MOD07), the ASTER Global Digital Elevation Map (ASTER DEM), and the Tropical Rainfall Measuring Mission (TRMM) in six years. The outputs are gridded fields of temperature, relative humidity, and precipitation. The empirical results were evaluated by using the Root mean square error (RMSE) and the mean percent error (MPE), which illustrate that Universal Kriging interpolation obtains higher accuracy than other forms of Kriging; whereas, the assimilation for precipitation gradually reduces RMSE and significantly MPE. It also reveals that the accuracy of temperature and humidity when employing assimilation that is not significantly improved because of low MODIS retrieval due to cloud contamination.

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• 제2권4호
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• pp.298-304
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• 2021

This study aimed to determine the applicability of drones and air quality sensors in environmental monitoring of air pollutant emissions by developing and testing two new methods. The first method used orthoimagery for precise monitoring of pollutant-emitting facilities. The second method used atmospheric sensors for monitoring air pollutants in emissions. Results showed that ground sample distance could be established within 5 cm during the creation of orthoimagery for monitoring emissions, which allowed for detailed examination of facilities with naked eyes. For air quality monitoring, drones were flown on a fixed course and measured the air quality in point units, thus enabling mapping of air quality through spatial analysis. Sensors that could measure various substances were used during this process. Data on particulate matter were compared with data from the National Air Pollution Measurement Network to determine its future potential to leverage. However, technical development and applications for environmental monitoring of pollution-emitting facilities are still in their early stages. They could be limited by meteorological conditions and sensitivity of the sensor technology. This research is expected to provide guidelines for environmental monitoring of pollutant-emitting facilities using drones.

• 한국환경생태학회지
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• 제26권6호
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• pp.876-883
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• 2012

맹꽁이의 번식활동에 영향을 주는 기상요인을 분석하기 위해 2008년부터 2011년까지 4년 동안 제주도 대정읍에 위치한 산란지에서 조사하였다. 분석요인은 강우량, 습도, 온도, 기압, 풍속으로 강우가 있는 날에 산란유무를 가지고 비교분석을 하였다. 분석결과 맹꽁이의 번식활동에 영향을 주는 요인은 강우량, 습도, 기압으로 나타났다. 이 중에서 가장 큰 영향을 주는 요인은 강우량으로 나타났다. 맹꽁이는 많은 비가 내릴 때 산란활동에 참가하는 것으로 나타났으며, 습도와 기압도 번식활동에 어느 정도 영향을 주는 것으로 분석되었다. 온도인 경우는 번식기간이 여름철이므로 이미 번식활동에 필요한 조건을 충족시킨 것으로 판단하였다. 따라서 맹꽁이도 온대지방에서 이루어진 다른 무미류 연구에서와 같이 강우량과 온도의 영향을 많이 받고 있다는 것이 확인되었다.

• Ecology and Resilient Infrastructure
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• 제3권2호
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• pp.80-91
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• 2016

도시홍수, 가뭄, 폭염과 열대야 등 다양한 기상재해가 빈번히 발생하고 있어 인명과 재산 피해는 물론 도시의 자연환경보전에 어려움을 겪고 있다. 다양한 기상재해를 최소화 하고 기후변화에 적응하면서 보다 쾌적한 도시환경을 다음 세대에게 넘겨주기 위한 목적으로 저영향개발 또는 그린인프라가 주목 받고 있다. 한국의 저영향개발 및 그린인프라 기술은 현재 보육(incubating) 또는 시연 (demonstrating) 단계에 있다. 중앙정부 및 지방정부의 노력으로 법률 정비가 빠르게 이루어지고 있다. 이를 통해 물을 이용만 하는 회색인프라 (Gray Infrastructure)로 구성된 회색도시 (Gray City)에서 물을 관리하는 그린인프라(Green Infrastructure)로 구성된 녹색도시 (Green City)로 변모하기 시작했다. 보다 체계적인 확산과 보급을 위해서는 한국형 신기술의 개발, 기술의 검증, 기술 기준의 정비, 다분야의 협력과 협업, 교육과 홍보 그리고 시민들의 참여가 요구된다.

• The Korean Journal of Ecology
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• 제9권1호
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• pp.41-50
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• 1986

The net primary production in the Korean peninsula was estimated by Miami model, Montreal model and Kira's model, based on 148 meteorological data. The modes in frequency distribution of the values calculated by Montreal and Miami model were found at 1,500g/m2/yr. class and at one step high class in 100g. interval, while by Kira's madel at 1,700g/m2/yr. class. The relationships between values by Miami model(X) and those by Motreal model (Ym) and Kira's model(Yk) can be expressed as follows: Ym=0.365X+944.7, Yk=0.462 X+1006.9 and Yk=1.282Ym-211.5. The total amount of the net primary production in 218,583.4km2, 98.9% of the whole area(220,951 km2) of the Korean Peninsula, was estimated as 290,691,407 tons/yr. by Miami model, 310,751,566 tons/yr by Montreal model and 352,071,901 tons/yr by Kira's model. Therefore, it is reasonable that the organic substance over 300 million-tons is added yearly in the Korean Peninsula, because only 1.1% of the whole area no calculated. In additiion, the net primary production amount of Han-river basin was estimated as ca. 38 million-tons, whether calculated with the meteorological data in level of the Korean Peninsula or with more detail data.

• 한국기후변화학회지
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• 제6권3호
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• pp.203-208
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• 2015

This study was conducted to provide the agricultural climatological basic data for the reset of sowing period of the winter crop on the double cropping system with rice. During the past 30 years from 1981 to 2010, mean air temperature has risen by $0.45^{\circ}C$ per 10 years (with statistical significance), while precipitation has decreased by 6.74 mm per 10 years and the numbers of days for precipitation has reduced by 0.23 days per 10 years (with no statistical significance) in the sowing period ($1^{st}$ Oct. to $5^{th}$ Nov.) of winter crop. It was analyzed that double cropping system of rice and winter crops need to be reset in the way of delaying the sowing time of winter crops, because rising trend of temperature was clear while variability of precipitation was great and the trend was not clear in the sowing period of winter crops. We have also analyzed the meteorological features of the sowing period of winter crops in 2014, and found that mean air temperature in 2014 was higher than that in normal years (similar to recent temperature change feature) while precipitation in 2014 was much more frequent than that in normal years (unlike recent precipitation features). Such tendency in 2014 made the sowing of winter crops difficult because mechanical sowing could not be worked in flooded paddy fields. Heavy rain in October 2014 was also analyzed as a rare phenomenon.