• 한국물환경학회지
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• 제30권5호
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• pp.539-548
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• 2014

This study was carried out to investigate algal community structures and their correlations with environmental factors on five weir areas in the Nakdong River, South Korea. Water qualities, hydrodynamics, meteorological conditions and algal species compositions were observed in studied sites from May 2010 to Dec. 2013. Results showed that average total phosphorus concentration of 2013 was decreased by 52.4% in comparing with that from 2010 to 2011. Chlorophyll.a concentrations were positive significant with water temperature, pH, total phosphorus and total nitrogen, but is not significant with turbidity and suspended solids. Seasonal successions of algae were observed that Stephanodiscus sp. was dominant species with 65.3% of dominant frequency in studied site. Large algal biomass of the low temperature-adapted diatoms were observed during temperature range of $4{\sim}9^{\circ}C$, but large cyanobacterial biomass mainly during high temperature period ranged from $22^{\circ}C$ to $32^{\circ}C$. Microcystis sp. dominated during high water temperature in summer. The yearly correlations of algal biomass with accumulated solar radiations were not significant but seasonal correlations of summer from June to August were significant with correlation coefficient 0.33 (p<0.05). There were not significant correlations between turbidities and algal biomass. Turbidity and suspended solids concentrations were not significant correlation with algal biomass. According to the results, algal communities had strong correlation with water temperature and had partially correlation with solar radiation. For an effective management of algal blooms, water managers should survey with more long-term monitoring of various environmental factors and algal communities.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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• pp.39-42
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• 2006

The paper reports on the first experimental evidence for space-observed manifestation of the open ocean tsunami in the microwave radar backscatter (in C- and Ku-bands). Significant variations of the radar cross section synchronous with the sea level anomaly were found in the geophysical data record of the altimetry satellite Jason-1 for the track which crossed the head wave of the catastrophic tsunami of 26 December 2004. The simultaneous analysis of the available complementary data provided by the satellite three-channel radiometer enabled us to exclude meteorological factors as possible causes of the observed signal modulation. A possible physical mechanism of modulation of short wind waves due to transformation of the thin boundary layer in the air by a tsunami wave is discussed. The results open new possibilities of monitoring tsunamis from space..

• 한국안전학회지
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• 제32권2호
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• pp.59-65
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• 2017

Calculation of the damage impact of chemical accidents is an important element in site, and the initial isolation distance and the protective action distances are significant factors in coping the chemical accident. In this study, three major cities that represent each Province were selected, and the safety distances were calculated considering regional climate conditions. The results were compared with the prescribed values in Emergency Response Guidebook. It is concluded that the regional meteorological conditions such as temperature, vapour pressure, relative humidity, wind speed, and cloud cover should be reflected in estimating the initial isolation distance and the protective action distance.

• 한국해안·해양공학회논문집
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• 제34권6호
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• pp.303-314
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• 2022

해양 물리 환경 인자의 지속시간 분석은 작업시간, 설계와 같은 해안공학적 관점에서 요구되는 분석으로 해역 이용에 필수로 선행되어야하는 기초 분석이다. 본 연구에서는 기상청 해양기상관측부이 중 우리나라 서남해안 4개 관측 지점(덕적도, 외연도, 거문도, 거제도)의 풍속 및 유의파고 자료의 지속시간 분석을 수행하였다. 기준풍속은 1~15 m/s, 기준유의파고는 0.25~3.0 m의 범위를 설정하고 관측자료가 이를 넘어서 지속되는 시간을 산정했다. 분석결과, 풍속과 유의파고의 지속시간은 기준값이 높아질수록 급격히 감소했으며, 최대 기준 조건에서 지속시간의 중간값은 풍속이 최대 5시간, 유의파고는 최대 8시간으로 계산되었다. 1% 미만의 확률로 발생하는 지속시간은 기준풍속이 15 m/s일 때 최대 52시간, 기준유의파고가 3m일 때 최대 56시간으로 나타났다. 향후 우리나라 전 해역을 대상으로 해양기상 자료의 지속시간 분석을 수행할 수 있으며, 다양한 공학적 활용이 기대된다.

• 한국농림기상학회지
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• 제21권4호
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• pp.229-237
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• 2019

본 연구는 1980년부터 2015년까지 논 농업기후지대에 대한 연 기준 증발산량(annual reference evapotranspiration, ET₀)을 추정하고 분석하였다. 기상청에서 수집한 61개 지점의 기상자료에 Penman-Monteith 방법을 적용하여 일별 기준 증발산량을 계산하였다. 1980년부터 2015년 동안의 연 기준 증발산량은 평균 1334.1±33.89 mm 이였으며, 해안 지대에서 가장 높게 나타났다. 기준 증발산량은 전체 지대에 대해서 약 2.81 mm/yr의 추세로 증가하였다. 하지만 변화율은 농업기후지대별로 다르게 나타났다. 특히 중부지대와 동부 해안 지대에서 연 기준 증발산량은 가장 크게 증가하였다. 상관계수 분석에 의하면, 연 기준 증발산량의 연 변화는 네가지 기후 요소(평균, 최저기온, 일조시간, 상대습도)와 가장 크게 연관이 있었다. 이 연구는 36년 동안 전체 한국 농업지대에서 연 기준증발산량의 변화를 겪고 있다는 것을 보여주고 있다. 온난화와 관련된 장기간의 연기준 온도의 변화와 공간적 패턴을 이해하는 것은 각 농업기후지대별 수자원 및 작물 관리를 효율적으로 할 수 있도록 도와줄 것으로 생각된다.

• 한국환경보건학회지
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• 제50권1호
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• pp.6-15
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• 2024

Background: People's activities have been restricted due to the COVID-19 pandemic. These changes in activity patterns may lead to a decrease in fine particulate matter (PM_2.5) concentrations. Additionally, the level of population exposure to PM_2.5 may be changed. Objectives: This study aimed to analyze the impact of population movement and meteorological factors on the distribution of PM_2.5 concentrations before and after the outbreak of COVID-19. Methods: The study area was Guro-gu in Seoul. The research period was selected as January to March 2020, a period of significant population movement changes caused by COVID-19. The evaluation of the dynamic population was conducted by calculating the absolute difference in population numbers between consecutive hours and comparing them to determine the daily average. Ambient PM_2.5 concentrations were estimated for each grid using ordinary kriging in Python. For the population exposure assessment, the population-weighted average concentration was calculated by determining the indoor to outdoor population for each grid and applying the indoor to outdoor ratio to the ambient PM_2.5 concentration. To assess the factors influencing changes in the ambient PM_2.5 concentration, a statistical analysis was conducted, incorporating population mobility and meteorological factors. Results: Through statistical analysis, the correlation between ambient PM_2.5 concentration and population movement was positive on both weekends and weekdays (r=0.71, r=0.266). The results confirmed that most of the relationships were positive, suggesting that a decrease in human activity can lead to a decrease in PM_2.5 concentrations. In addition, when population-weighted concentration averages were calculated and the exposure level of the population group was compared before and after the COVID-19 outbreak, the proportion of people exceeding the air quality standard decreased by approximately 15.5%. Conclusions: Human activities can impact ambient concentrations of PM_2.5, potentially altering the levels of PM_2.5 exposure in the population.

• 대한원격탐사학회지
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• 제37권2호
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• pp.337-357
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• 2021

노지에서 재배되는 벼는 필연적으로 기상요소의 영향을 받을 수밖에 없으며, 벼 생장에 영향을 미치는 최적의 기상자료 확보 및 변수 선정은 벼 수확량 예측 모델링에 있어 매우 중요하다. 본 연구에서는 1996-2019년의 7월, 8월, 9월에 대하여, 다종의 기상자료 비교평가를 통해 우리나라 벼 수확량 모델링에 대한 적합성을 살펴보고, 기상요소와 벼 수확량 사이의 비선형적인 관계를 고려하여 기계학습 기법을 이용한 수확량 하인드캐스트 실험을 수행하고자 한다. 다종의 기상자료로는, 기상청 ASOS 지상관측과 함께, CRU-JRA ver. 2.1, ERA5 재분석장을 사용하였다. 이들 기상자료에서 공통적으로 도출할 수 있는 월 단위 기온, 상대습도, 일사량, 강수량 변수에 대한 비교를 통하여, 각 자료의 특성 및 벼 수확량과의 연관성을 분석하였다. CRU-JRA ver. 2.1 재분석장은 전반적으로 타 자료와 높은 일치성을 나타냈으며, 변수별 특징을 보았을 때, 상대습도는 벼 수확량에 미치는 영향이 거의 없었으나, 일사량은 벼 수확량과의 상관성이 상당히 높은 것으로 나타났다. 7월, 8월, 9월의 기온, 일사량, 강수량을 랜덤 포리스트 모델에 투입하여 벼 수확량 하인드캐스트 실험을 수행한 결과, CRU-JRA ver. 2.1 재분석장은 세 종류 기상자료 중에 가장 높은 정확도를 나타냈다(CC = 0.772). 또한 예측 모델에서 변수의 중요도는 일사량이 가장 높게 나타나, 기존의 농학적 연구결과와 일치하였다. 본 연구는 벼 수확량 예측을 위한 다종 기상자료의 선택에 있어 하나의 합리적 방법을 제시한 것으로써 의미가 있다고 하겠다.

• International Journal of Industrial Entomology and Biomaterials
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• 제29권1호
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• pp.135-144
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• 2014

Rearing of tropical tasar silkworm, Antheraea mylitta Drury is mainly conducted in outdoor on Terminalia tomentosa W. & A. a nature grown primary host plant available in forest and also on raised primary host plant Terminalia arjuna Bedd. Temperature, relative humidity and rainfall are the main environmental factors for occurrence of pests (parasites and predators) of tasar silkworm during I, II and III crop rearing in the tropical tasar producing zones. The present study was aimed to study the influence of abiotic factors on prevalence of tasar silkworm pests. The study was conducted at different agro-climatic regions viz., Central Tasar Research &Training Institute, Ranchi, Jharkhand, Regional Extension Centre, Katghora, Chattisgarh and Regional Extension Centre, Hatgamaria during 2010-13 covering 3 seed crop and 6 commercial crops. Data on incidence of tropical tasar silkworm endo-parasitoids like Uzi Fly, Blepharipa zebina Walker and Ichneumon fly (Yellow Fly), Xathopimpla pedator, Fabricius and Predators such as Stink bug (Eocanthecona furcellata Wolf), Reduviid bug (Sycanus collaris Fabricius) and Wasp (Vespa orientalis Linnaeus) was recorded Weekly. The meteorological data was collected daily. Data was collected from 4 different agro-climatic zones of tasar growing areas. Analysis of the data revealed a significant negative correlation between abiotic factors and incidence of ichneumon fly and uzi fly. Based on the 3 years data on prevalence of pests region-wise pest calendars and prediction models were developed.

• 한국수자원학회논문집
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• 제51권6호
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• pp.523-533
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• 2018

본 연구에서는 충주댐 유역에 대해 앙상블 유량예측기법의 강우-유출 모델 매개변수, 입력자료에 따른 불확실성 분석을 수행하였다. 앙상블 유량예측기법으로는 ESP (Ensemble Streamflow Prediction) 기법과 BAYES-ESP (Bayesian-ESP) 기법을 활용하였으며, 강우-유출 모델로는 ABCD를 활용하였다. 모델 매개변수에 따른 불확실성 분석은 GLUE (Generalized Likelihood Uncertainty Estimation) 기법을 적용하였으며, 입력자료에 따른 불확실성 분석은 유량예측 앙상블에 활용되는 기상시나리오의 기간에 따라 수행하였다. 연구결과 앙상블 유량예측 기법은 입력자료 보다 모델 매개변수의 영향을 크게 받았으며, 20년 이상의 관측 기상자료가 확보되었을 때 활용하는 것이 적절하였다. 또한 BAYES-ESP는 ESP에 비해 불확실성을 감소시킬 수 있는 것으로 나타났다. 본 연구는 불확실성 분석을 통해 앙상블 유량예측기법의 특징을 규명하고 오차의 원인을 분석하였다는 점에서 가치가 있다고 판단된다.

• 대기
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• 제32권4호
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• pp.277-295
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• 2022

The global weather prediction model, Korean Integrated Model (KIM), has been in operation since April 2020 by the Korea Meteorological Administration. This study assessed the performance of heat waves (HWs) in Korea in 2020. Case experiments during 2018-2020 were conducted to support the reliability of assessment, and the factors which affect predictability of the HWs were analyzed. Simulated expansion and retreat of the Tibetan High and North Pacific High during the 2020 HW had a good agreement with the analysis. However, the model showed significant cold biases in the maximum surface temperature. It was found that the temperature bias was highly related to underestimation of downward shortwave radiation at surface, which was linked to cloudiness. KIM tended to overestimate nighttime clouds that delayed the dissipation of cloud in the morning, which affected the shortage of downward solar radiation. The vertical profiles of temperature and moisture showed that cold bias and trapped moisture in the lower atmosphere produce favorable conditions for cloud formation over the Yellow Sea, which affected overestimation of cloud in downwind land. Sensitivity test was performed to reduce model bias, which was done by modulating moisture mixing parameter in the boundary layer scheme. Results indicated that the daytime temperature errors were reduced by increase in surface solar irradiance with enhanced cloud dissipation. This study suggested that not only the synoptic features but also the accuracy of low-level temperature and moisture condition played an important role in predicting the maximum temperature during the HWs in medium-range forecasts.