본 연구에서는 해양공간 통합관리 수단의 지원책으로 활용되는 해양공간 정책 시뮬레이터 기술에 대한 한국, 중국, 일본, 미국, 유럽 등 주요 5개국에 대한 정량분석을 위한 유효특허 1,474건을 도출하고, 연도별, 국가별 특허출원 동향 및 워드 클라우드 분석을 통해 국내 기술 경쟁력 및 국내·외 기술 트렌드를 파악하였다. 분석 결과 해양공간 정책 시뮬레이터 기술의 경우 중국(1,254건, 85.1%) 주도의 특허출원이 활발하게 이루어지고 있으며, 세부 기술별로는 어업환경 변화예측 및 활용 시뮬레이터(AC)가 392건(26.6%)으로 가장 높은 것 으로 나타난다. 핵심 키워드 변화를 통해 최근에는 다중 데이터의 수집과 데이터의 탐지, 예측, 평가 등으로 기술 트렌드가 이루어지고 있 음을 확인하였으며, 중국 주도의 시장 독과점 및 선점에 대비하기 위해 주변 기술에 대한 특허출원 고려 및 표준화 선점 등의 연계 전략 을 통한 대비와 정부 차원의 해양공간 정책 시뮬레이터 기술 연구개발에 대한 적극적인 정책적 지원이 필요함을 진단하였다.

해양공간계획(Marine spatial planning)은 해양의 합리적인 이용과 지속 가능한 해양 공간 활용을 위한 중요한 요소이다. 특히 어업활동 보호구역은 지속 가능한 어업을 위한 핵심 용도구역으로, 해양공간계획 경계 내에서 약 45.6%를 차지한다. 그러나, 현재 어업활동보호구역의 지정 과 평가는 미래 수요와 잠재적 가치를 충분히 반영하지 못하고 있으며, 중장기 계획 수립을 위한 보다 합리적인 평가 방법과 예측 도구가 필요한 상황이다. 이러한 문제를 해결하기 위해, 본 연구는 어업활동보호구역 내 주요 어종인 고등어, 갈치, 멸치, 참조기를 대상으로 어종 분포 예측을 시도하고, 현재 용도구역과의 비교를 통해 예측 도구의 가능성을 평가하였다. 한편, IPCC 6차 기후변화 시나리오(SSP1-2.6 및 SSP5-8.5)를 적용한 종분포 모델(MaxEnt)을 사용하여 미래 기후변화에 따른 어종의 이동 및 분포 변화를 분석한 결과, 고등어, 갈치, 참조기의 분포 면적은 현재보다 약 28~86% 증가했으나, 멸치의 분포 면적은 약 6~11% 감소했다. 이 결과를 바탕으로 주요 4종의 종풍부도 지도를 작성하였으며, 해양공간계획 경 계 내에서 ‘높음’으로 평가된 종풍부도 해역과 어업활동보호구역이 중복되는 비율은 약 15%, SSP1-2.6 시나리오에서 21%, SSP5-8.5 시나리오에서 34%로 증가하였다. 연구 결과는 향후 용도구역 평가나 유보구역 변경 시 과학적 근거로 활용될 수 있으며, 어종의 현재 종분포와 기후변화에 따 른 분포 예측을 통해 현재 용도구역 평가의 한계를 보완하고, 지속 가능한 유용 해양 자원의 이용을 위한 계획 수립에 기여할 것으로 판단된다.

토양수분은 지면환경에서 일어나는 수문 순환을 이해하기 위한 중요한 기상인자일 뿐만 아니라 가뭄, 홍수, 산불 등과 같은 자연재해와 밀접하게 연관되어 있다. 그러나 위성기반 토양수분 자료는 공간해상도가 매우 떨어져서 국지규모 분석에 직접적 으로 적용하기에는 한계가 있다. 이 연구에서는 마이크로파 위성센서로부터 산출된 토양수분 자료가 가지는 공간해상도의 제약을 완화하기 위하여, 다양한 지면 변수와 공간통계법을 활용한 다운스케일링 기법을 도입하였다. 가장 정교한 다운스케일링 기법으로 평가되는 회귀크리깅을 이 연구를 통하여 토양수분 자료에 처음으로 적용하였다. 우리나라의 2013년과 2014년의 4월부터 10월까지 의 일자별 AMSR2(Advanced Microwave Scanning Radiometer 2) 공간해상도 10km와 25km의 토양수분 자료를 각각 2km와 4km로 다운스케일링한 결과, 고해상도로 다운스케일링된 자료와 저해상도 원자료와의 일관성이 우수하게 유지되어, 다운스케일링 전후의 공간패턴과 자료특성이 잘 보존되는 것을 확인할 수 있었다. 이 연구에서 제시한 다운스케일링 기법은 토양수분뿐만 아니라 여러 기상요소에 적용될 수 있으며, 위성영상이나 모형자료의 공간해상도 한계를 극복하기 위한 방편이 될 수 있을 것으로 기대된다.

비점원 오염은 점원 오염처럼 고정된 배출원이 존재하는 것이 아니라 불특정 장소에서 오염물질이 광역에 걸쳐 배출되는 것으로서, 대표적으로 지면피복 그 자체가 오염원으로 작용할 수 있다. 최근 우리나라 일부 지역에서는 여러 가지 원인으로 지면피복 변화가 급격히 발생하였는데, 이는 위성원격탐사를 통해 연속적 시공간에서 효과적으로 파악 가능하다. 본 연구에서는 NDVI (Normalized Difference Vegetation Index) 위성자료에 공간통계기법을 적용하여 우리나라 지면피복변화의 핫스팟을 추출하고, 실제 오염측정치를 이용하여 비점원 오염 특성을 지면피복변화와 관련하여 살펴보았다. 2003년과 2011년의 비교에서는 4군데의 지면피복변화 핫스팟이 탐지되었는데, 이 중 오염부하량 자료가 충분히 존재하는 새만금 핫스팟과 화성호 핫스팟 유역에 대한 분석 결과, 비점원 오염의 유출이 집중되는 하구 부분에서 오염부하량의 상당한 증가가 발견되었고, 특히 화성호 핫스팟의 경우 농지 증가의 영향이 컸던 것으로 나타났다. 이처럼 지면피복변화의 핫스팟 추출을 통해 국토변화를 모니터링하고 핫스팟 유역의 비점원 오염부하량이 지역적으로 어떠한 특성을 보이는지 분석하는 것은, 국토 보전 및 개발에 있어 유용한 참고자료가 될 것으로 사료된다.

Because of the population growth and industrialization in recent decades, the air quality over the world has been worsened with the increase of PM10 concentration. Korea is located near the eastern part of China which has many industrial complexes, so the consideration of China’s air quality is necessary for the PM10 prediction in Korea. This paper examines a machine learning-based modeling of the prediction of tomorrow’s PM10 concentration in the form of a gridded map using the AirKorea observations, Chinese cities’ air quality index, and NWP (numerical weather prediction) model data. A blind test using 23,048 cases in 2019 produced a correlation coefficient of 0.973 and an MAE (mean absolute error) of 4.097㎍/㎥, which is high accuracy due to the appropriate selection of input variables and the optimization of the machine learning model. Also, the prediction model showed stable predictability irrespective of the season and the level of PM10. It is expected that the proposed model can be applied to an operative system if a fine-tuning process using a larger database is accomplished.

The increased frequency and intensity of wildfires can cause damages to the ecosystem and the atmospheric environment. Rapid identification of the wildfire damages is also important for establishing forest restoration, budget planning, and human resources allocation. Because the wildfires need to be examined for vast areas, satellite remote sensing has been adopted as an effective method. Many studies for the detection of wildfires and the analysis of burn severity have been conducted using mid- and high-resolution images. However, they had difficulties in the sensitivity problem of NBR (Normalized Burn Ratio) for multi-temporal images. This paper describes the feasibility of the detection and classification of wildfire burn severity using Sentinel-2 images with K-means and ISODATA (Iterative Self-Organizing Data Analysis Techniques Algorithm) methods for a case of the Andong fire in April 2020. The result can be a reference to the appropriate classification of large-scale wildfire severity and decision-making for forest restoration planning.

This study was carried out in order to evaluate the growth promotion effects on tomato crops and to assess the mineral nutrient concentrations of farm-made liquid fertilizers used in organic cultivation in South Korea. We hope that this study will help to develop of a standardized manufacturing technique for these organic liquid fertilizers. We collected 62 farm-made liquid fertilizers made from various raw materials including fish, seaweed, food scraps, plant and crop by-products, and other materials. Two groups of tomato seedlings were treated at different times, one at 20 days and the other at 40 days after sowing. We used both foliar and soil applications. These seedlings were treated using liquid fertilizers at various dilution rates (x1000, x500 and x100). When foliar application was used, seedlings after 20 days had a 20-30% increase in shoot fresh weight with 47-48 fertilizers and seedlings after 40 days had a 20-30% increase in shoot fresh weight with 17-32 fertilizers. When soil application was used, seedlings after 20 days had the same increase in shoot fresh weight with 30-31 fertilizers and seedlings after 40 days also saw the same increase with 6-7 fertilizers. Therefore, our studies showed that application of liquid fertilizers to seedlings 20 days after sowing was most effective and that foliar treatment was more effective than soil treatments. We also observed that the higher the concentrations of fertilizer, particularly when applied twice rather than just once, the higher the rates of growth, which promoted shoot fresh weight more than plant height. Our results imply that mineral nutrients in liquid fertilizers seem to be the probable cause for the growth promotion observed in this study. However, more study is required to determine exactly which mineral nutrients are most effective.

The COMS (Communication, Ocean and Meteorological Satellite) has been used in numerical weather prediction and meteorological monitoring over East Asia and Oceania since it has been launched in 2010. For more active utilization in climate research, the COMS level 3 products should be available in appropriate spatial and temporal resolutions. We compared different methods to generate monthly sea surface temperature (SST) products from the COMS time-series data. We employed three techniques for aggregating the time series, which are arithmetic mean, timeslot average, and moving average, and also used mean ensemble of them. Each level 3 dataset around South Korea was compared with monthly SST product from the Moderate Resolution Imaging Spectroradiometer (MODIS) of Aqua satellite during April 2011-March 2014. The timeslot average showed better root mean squared difference (RMSD) during the initial operational period of the COMS, when the retrieved values could be somewhat unstable. Daytime aggregations were derived more accurately by using the arithmetic mean or moving average, and the accuracy of nighttime aggregation was improved by the mean ensemble. Also, the timeslot average presented reasonable results particularly for coastlines where the standard deviation and missing value ratio were greater than normal. Because an optimal aggregation technique was variable depending on spatial and temporal conditions, we should be careful in selecting appropriate method for generation of the COMS level 3 products according to research objectives.

In this study, we produced satellite-based drought indices such as NDVI(normalized difference vegetation index), NDWI(normalized difference water index), and NDDI(normalized difference drought index) and extracted time-series principal components from the drought indices using EOF(empirical orthogonal function) method to examine their relationships with climatic variables. We found that the first principal components of the drought indices for Sonid Right Banner, Inner Mongolia were dominant in cold seasons and were closely related to low temperature, little rainfall, and high surface albedo. The satellite-based drought indices and their EOF analyses can be utilized for the studies of cold-season drought and warm-season drought as well.

The CMDPS(COMS Meteorological Data Processing System) provides 16 meteorological products by processing satellite data obtained from 1 visible and 4 infrared channels. It is expected that the COMS(Communication, Ocean and Meteorological Satellite) products will contribute to numerical weather prediction and climate change monitoring. For more active utilization of the products, we first need a scheme for the quality management based on outlier detection. This paper describes a method for detecting spatial and temporal outliers from the COMS products using Moran scatterplot and wavelet transform. The applicability of our method was made sure through the tests for seven products such as sea surface temperature, land surface temperature, aerosol optical depth, total precipitable water, upper tropospheric humidity, cloud top height, and cloud top temperature. Their quality was estimated very good in terms of our spatio-temporal statistical approach. For future work, we need more comprehensive study on the outlier detection, particularity focusing on the threshold setting in accordance with physical characteristics of each product.

The purpose of this study was to investigate the characteristics of air quality using data from which obtain local air quality monitoring system for cohort study in Chungju, Korea. We analyzed the concentration data of NO2, SO2, and PM10 in Chungju and industrial cities in 2006. We compared a industrial area with a cohort study area using by bicluster algorithm. In the case of SO2, the rate of the cluster time was 10～60% and the cluster time number of two areas was similar. In the case of NO2 and PM10, the number of cluster time between a industrial area and cohort study area was clearly different.

This study was performed in 30 selected apartments in Seoul, Asan and Daegu area which were constructed within 4 years and over 4 years, to measure the concentration of VOCs(benzene, toluene, xylene) from July, 2004 to September. Mean ratios of indoor to outdoor VOCs concentrations in the construction under 4 years were higher in 1 than average, I/O ratio of over 4 years were lower in 1. This was considered that the VOCs density influences indoor pollutant. For the indoor air quality estimation, the deposition constant and the source strength factor of toluene were 1.49±2.05 hr-1 and 36.95±52.26 ppb/h, respectively.

The purpose of this study was to investigate Rn concentration and annual radiation exposure level in the basement and first floor. The Rn Cup monitors were placed in different environments such as shopping stage, office building, Apartment, Hospital , house in Seoul from March 1996 to April 1997 and CR-39 films were collected every two months. The mean radon concentration in the basement of house(88.6 Bq/㎥) showed the highest level among the areas, while radon concentration on the first floor of house(50.5 Bq/㎥) showed the higher than other areas. The annual radiation exposure dose that person on the floor / in the basement of differential place in the seoul can be exposed during living was estimated from 24.11 to 87.64 mRem/yr. This radiation dose is significantly lower than 130mRem maximum radiation dosage from the radon nuclide prescribed by the ICRP, with respect to the overall average exposure of the working adult. this study indicated that possible radon sources on the first floor / in the basement areas are radon intrusion from soil gas, construction materials, or ground water leaking. Further study is needed to quantitatively assess major contributions of radon-222 and health effect to radon exposure.