• Korean Journal of Remote Sensing
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• v.37 no.2
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• pp.337-357
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• 2021

Because the growth of paddy rice is affected by meteorological factors, the selection of appropriate meteorological variables is essential to build a rice yield prediction model. This paper examines the suitability of multiple meteorological datasets for the rice yield modeling in South Korea, 1996-2019, and a hindcast experiment for rice yield using a machine learning method by considering the nonlinear relationships between meteorological variables and the rice yield. In addition to the ASOS in-situ observations, we used CRU-JRA ver. 2.1 and ERA5 reanalysis. From the multiple meteorological datasets, we extracted the four common variables (air temperature, relative humidity, solar radiation, and precipitation) and analyzed the characteristics of each data and the associations with rice yields. CRU-JRA ver. 2.1 showed an overall agreement with the other datasets. While relative humidity had a rare relationship with rice yields, solar radiation showed a somewhat high correlation with rice yields. Using the air temperature, solar radiation, and precipitation of July, August, and September, we built a random forest model for the hindcast experiments of rice yields. The model with CRU-JRA ver. 2.1 showed the best performance with a correlation coefficient of 0.772. The solar radiation in the prediction model had the most significant importance among the variables, which is in accordance with the generic agricultural knowledge. This paper has an implication for selecting from multiple meteorological datasets for rice yield modeling.

• Journal of the Korean earth science society
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• v.40 no.5
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• pp.502-517
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• 2019

Global warming and rapid climate change have long affected the characteristics of typhoons in the Northwest Pacific, which has induced increasing devastating disasters along the coastal regions of the Korean peninsula. Synthetic Aperature Radar (SAR), as one of the microwave sensors, makes it possible to produce high-resolution sea surface wind field around the typhoon under cloudy atmospheric conditions, which has been impossible to obtain the winds from satellite optical and infrared sensors. The Geophysical Model Functions (GMFs) for sea surface wind retrieval from SAR data requires the input of wind direction, which should be based on the accurate estimation of the center of the typhoon. This study estimated the typhoon centers using Sentinel-1A images to improve the problem of typhoon center detection method and to reflect it in retrieving the sea surface wind. The results were validated by comparing with the typhoon best track data provided by the Korea Meteorological Administration (KMA) and Japan Meteorological Agency (JMA), and also by using infrared images of Himawari-8 satellite. The initial center position of the typhoon was determined by using VH polarization, thereby reducing the possibility of error. The detected center showed a difference of 23.76 km on average with the best track data of the four typhoons provided by the KMA and JMA. Compared to the typhoon center estimated by Himawari-8 satellite, the results showed an average spatial variation of 11.80 km except one typhoon located near land with a large difference of 58.73 km. This result suggests that high-resolution SAR images can be used to estimate the center and retrieve sea surface wind around typhoons.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.427-427
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• 2011

최근 기후변화에 따른 국지성 집중호우의 증가로 인해 도심지역의 홍수피해가 증가하고 있는 추세이다. 최근의 강우 증가경향을 고려한 서울시 강우량 증가추세 분석결과 2020년의 확률강우량이 지속시간별 2.3%~7.3% 증가하는 것으로 분석되었고, 50년빈도 확률강우량의 경우 강우강도는 2009년은 99.1mm/hr, 2030년은 103.5mm/hr로 분석되어 서울지점의 경우 최근 기후변화로 인한 강우강도와 확률강우량 모두 증가경향을 보이는 강우특성을 나타내었다. 특히 지난 2010년 9월 21일 집중호우의 특성을 분석하기 위해 당시 한반도 상공의 위성영상 및 기상현황과 서울시 지역별 누가강우량 및 지방하천의 지속시간별 강우빈도분석을 실시하였다. 또한, 서울지역 침수피해 현황조사와 홍수피해원인 및 문제점을 분석하고, 향후 기후변화 대비 설계 기준 강화에 대한 수해방재 대응전략 및 구조적인 저류조 설치 방안 검토를 통한 임시 또는 항구대책을 연구를 실시하였다.

• Journal of the Korean Solar Energy Society
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• v.34 no.6
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• pp.57-65
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• 2014

Solar energy has attracted wide attention as a promising renewable energy source. The goal of this paper is to estimate the dynamic performance of solar flat plate collector system according to the weather conditions and the capacity of heat storage tank. This study provides a detailed description of the modeling methods and materials of the system. The effects of the daily clearness index and the volume of the heat storage tank on the hourly and daily performances of the system are numerically investigated. Special attention is focused on the important system variables including the solar insolation on the collector surface, useful energy, heat loss at the collector, and collector efficiency.

• Journal of Korean Society of Steel Construction
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• v.19 no.2
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• pp.223-231
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• 2007

Considering wind speed uncertainty, reliability analysis of the LNG unloading arm at Tongyoung Production Site was performed. Extreme distribution of wind speed was estimated from the data collected at the weather center and wind load was calculated using wind velocities and coefficients of wind pressure. The unloading arm was modeled with plate and solid elements. Contact elements were used to describe the interface between base of structure andground. Response surface for maximum effective stress was found for reliability analysis and then reliability functions was defined and used to determine exceeding probability of allowable and yield stresses. In addition, sensitivity analysis was also performed to estimate the effect of possible material deterioration in the future.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.36 no.4
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• pp.370-381
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• 1991

In Nongsajiksul, rice varieties were not appeared but varieties groups were introduced and divided according to growth periods, or 'Sun, Gang, Na'or introduced names of some of local varieties. However, the weather conditions for rice culture in Korea were characterized by 'early drought and late flooding', and winds and rains in summer, so that rice safe harvest by avoiding these disasters was the most important. Thus, development of rice varieties after the 15th century has gradually been adapted for ‘early-seeding and early-harvesting’, and for disaster tolerance. With time, rice varieties, which were early maturing, had awned, had color on panicles, had tolerance for grain shattering, had tolerance for winds, and had good responses to fertilizers, were grown in large areas.rown in large areas.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.216-216
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• 2021

해저지진, 해저붕괴 및 해저화산분출 등에 발생되는 지진해일은 파장이 수십에서 수백 km에 이르는 장파로서 에너지 손실없이 먼 거리를 전파할 수 있으며, 수심이 상대적으로 얕은 해안가에 도달하면 범람에 의해 인명 및 재산피해를 야기시킬 수 있다. 예를 들어, 2004년 12월 26일에 발생한 수마트라 지진해일은 약 30만명의 인명피해와 약 10조원의 재산피해를 가져왔으며, 2011년 3월 11일에 발생한 동일본 지진해일은 약 2만명의 인명피해와 약 330조의 재산피해를 유발시켰다. 더욱이, 지진해일에 의해 폭발한 후쿠시마 원자력발전소에서의 방사능 유출은 10년이 지난 현재도 생태계 교란, 방사능 피폭 등의 피해를 일으키고 있다. 우리나라도 1983년 5월 26일 발생한 동해 중부지진해일에 의해 삼척시 임원항 및 인근에서 인명피해(1명 사망, 2명 실종)와 약 2억원의 재산피해가 발생하였다. 최근, 4차 산업혁명으로서 빅데이터를 기반으로 한 다양한 인공지능기술이 개발되고 있으며, 많은 분야에서 이 기술을 적용하고자 노력하고 있다. 특히, 과학 및 공학분야에서도 이를 융합하는 연구 및 활용하는 사례가 증가하고 있다. 본 연구에서는 1983년 발생한 중부지진해일에 의해 인명 및 재산피해가 발생한 임원항을 대상으로 지진해일 수치모형실험을 수행하며, 수치모형실험 결과를 토대로 인공지능 모델 중 합성신경망 (Convolution Neural Network)을 활용하여 인공지능을 통한 지진해일 범람구역을 산정 및 평가하고자 한다.

• Korean Journal of Agricultural and Forest Meteorology
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• v.1 no.1
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• pp.72-80
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• 1999

The study was conducted to establish the safe cropping season for direct- seeding on flooded paddy by the analysis of meteorological data(l973~1992, 20 years) from Korea Meteorological Administration. The critical date for early seeding(CDES) at direct- seeding culture on flooded paddy was decided by the appearance date of daily mean air temperature(DMAT) of 15$^{\circ}C$. The optimum heading date(OHD) was the first day when 22$^{\circ}C$ of daily mean air temperature could be kept for 40 days of ripening period after heading, and the critical date of late heading for safe ripening(CDHR) was the last day when 19$^{\circ}C$ of daily mean air temperature could be kept for 40 days after heading. The optimum seeding date(OSD) and the critical date for late seeding(CDLS) could be decided by the accumulated temperature from OHD and CDHR to the appearance dates of necessary temperatures for early, intermediate, and intermediately late maturing varieties. This results can be used for the determination of the safe cropping season of direct-seeding on flooded paddy in each agroclimatic zone. For instance, the OSD appearance date for early maturing variety in Suwon region appeared to be May 11~20 and the CDLS appearance date was May 31~June 7.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.4
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• pp.277-283
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• 2018

The crop growth model has been widely used for climate change impact assessment. Crop growth model require genetic coefficients for simulating growth and yield. In order to determine the genetic coefficients, regional growth monitoring data or yield trial data of crops has been used to calibrate crop growth model. The aim of this study is to verify that yield trial data of corn is appropriate to calibrate genetic coefficients of CERES-MAIZE. Field experiment sites were Suwon, Jinju, Daegu and Changwon. The distance from the weather station to the experimental field were from 1.3km to 27km. Genetic coefficients calibrated by yield trial data showed good performance in silking day. The genetic coefficients associated with silking are determined only by temperature. In CERES-MAIZE model, precipitation or irrigation does not have a significant effect on phenology related genetic coefficients. Although the effective distance of the temperature could vary depending on the terrain, reliable genetic coefficients were obtained in this study even when a weather observation site was within a maximum of 27 km. Therefore, it is possible to estimate the genetic coefficients by yield trial data in study area. However, the yield-related genetic coefficients did not show good results. These results were caused by simulating the water stress without accurate information on irrigation or rainfall. The yield trial reports have not had accurate information on irrigation timing and volume. In order to obtain significant precipitation data, the distance between experimental field and weather station should be closer to that of the temperature measurement. However, the experimental fields in this study was not close enough to the weather station. Therefore, When determining the genetic coefficients of regional corn yield trial data, it may be appropriate to calibrate only genetic coefficients related to phenology.

• Journal of the Korean Geographical Society
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• v.49 no.1
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• pp.18-31
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• 2014

In this study, the spatio-temporal patterns of salty wind by typhoon in Jeju Island and their damages to windbreak forests are examined. To investigate these patterns, field trips as well as analyses of meteorological data were conducted after the attack of typhoon BOLAVEN in late August, 2012. Collected data show that salty wind damage in windbreak trees by the typhoon was distinct in the southern and eastern coastal areas due to the southeasterly gusts with less precipitation. Most of trees including Japanese cedar (Cryptomeria japonica) within 8km from the coast as well as pine trees (Pinus thunbergii) along the coasts were damaged by salty water driven by the typhoon, but the magnitude of its damages and recovery rates of damaged vegetation varied by species. These results indicate that prediction and proactive activities for salty wind are needed to reduce its damages to local vegetation particularly before the arrival of a dry typhoon accompanying gusty wind.