• 한국대기환경학회지
• /
• 제20권5호
• /
• pp.583-591
• /
• 2004

In this study, methodologies for the rational organization of air pollution monitoring network were examined by understanding the characteristics of temporal and spatial distribution of secondary air pollution, whose significance would increase hereafter. The data on $O_3$ and $NO_2$ concentrations during high ozone period in 1998~1999 recorded at the nine air pollution monitoring station in Busan were analysed using principal component analysis (PCA) and cumulative semivariogram. It was found that the ozone concentration was deeply associated with the daily emission characteristics or the $O_3$ precusors, and nitrogen dioxide concentration largely depends on the emission strength of regional sources. According to the spatial distribution analysis of ozone and nitrogen dioxide in Busan using cumulative semivariograms, the number of monitoring stations for the secondary air pollution can be reduced in east-west direction, but reinforced in north-south direction to explain the spacial variability. More scientific and rational relocation of air pollution monitoring network in Busan would be needed to investigate pollution status accurately and to plan and implement the pollution reduction policies effectively.

• 한국해양공학회지
• /
• 제17권5호
• /
• pp.32-38
• /
• 2003

This study investigates the distribution characteristics and relationship of water quality, and analyzes the spatial and temporal variation and distribution of the pollutant loads at Yeong-il Bay. The results of these analysis, the concentrations of nutrient loads (T-N and T-P), both appeared to be at the maximum value in November, while most small values were taken in May for the T-N, and in August for the T-P. For COD, the maximum concentration was in August, which has much precipitation during the same season, T-N was at the mean, and T-P was at the minimum value. Using the cluster analysis to develop the division of the sea basin by the dendrogram, before and after construction of Pohang New-port, the variation characteristics of water quality of Yeong-il Bay were discussed. The in flowing pollutant loads were transported to the landward by the high-density salinity water volume of the bottom layer therefore, it formed nutrient trap or coastal trapping areas of the pollutant load. By this mechanism, it is clear that the water volume with high-density nutrient exists on both sides of the Pohang New-port. Thus, the sea basins increasing concentration of the pollutant load at Yeong-il Bay are most prevalent at Hyeong-san estuary, the Pohang Old, and New-port. To improve water quality of this sea basin, the reduction of these nutrients loads should be the highest priority.

• 대한공간정보학회지
• /
• 제17권2호
• /
• pp.71-79
• /
• 2009

본 연구에서는 격자강우량과 격자기반의 GIS수문 매개변수와 연계하여 홍수기 유출량의 시공간적 분포를 파악할 수 있도록 물리적인 운동파 이론에 근거한 분포형 강우-유출모형인 K-DRUM을 자체 개발하였다. 이 모형은 홍수 기동안의 지표흐름과 지표하 흐름의 시간적 변화와 공간적 분포를 모의할 수 있으며, 전처리과정으로서 ArcView 를 이용하여 모형에 필요한 ASCII형태의 입력 매개변수 자료들을 가공하였다. 또한 후처리과정으로서 모형의 수행결과인 유역내의 유출량 분포 등을 GIS상에서 나타낼 수 있도록 ASCII형태로 출력하도록 구성하였으며 TecPlot 을 이용하여 유출량을 에니메이션으로 표현하였다. 또한, 유출량에 가장 큰 영향을 미치는 초기토양함수 상태에 대한 자동보정기법을 추가 개발하였으며, 남강댐유역을 대상으로 기저유출해석을 수행하여 개발된 자동보정기법의 활용가능성을 검토하였다. K-DRUM모형의 초기토양함수조건을 설정하는데 있어서 자동보정기법을 적용함으로써 기존의 시행착오법으로 인해 소요되는 시간과 부정확한 설정으로 발생될 수 있는 문제점을 해결할 수 있었다.

• 한국물환경학회지
• /
• 제29권5호
• /
• pp.598-609
• /
• 2013

Spatial and temporal distribution of environmental factors and epilithic diatom communities in major rivers (30 rivers and 58 sampling points) of the Korean peninsula were surveyed each one time before (May) and after the monsoon (October) 2012. The stream of the east harbor (EAST), the south harbor (SOUTH), and the west harbor (WEST) was sampled in order. Over the survey, a total of 284 taxa were classified, and the number of diatom species in each harbor did not show significant changes after the monsoon, but a biomass significantly decreased. Results also showed that EAST deterioration of water quality and chlorophyll-a after the monsoon, was opposite to SOUTH. Five major dominant species including Nitzschia inconspicua, which contained higher biomass over the survey, were common species which widely distributed in brackish water. Indicator Species Analysis showed that a large number of clean water species in EAST and polluted water species in SOUTH and WEST were emerged respectively. In sum, the Asian monsoon significantly decreased a biomass of epilithic diatoms and water qualities over the harbors (lower stream) in the Korean peninsula, but did not change the major species indicating water quality.

• 한국환경농학회지
• /
• 제35권4호
• /
• pp.302-305
• /
• 2016

BACKGROUND: The northeast district of China, especially Liaoning province, Jilin province, and Heilongjiang province, is one of the largest agricultural production regions in China. These regions play a significant role in ensuring food security. Accumulated temperature such as growing degree days (GDD) is an important environmental factor for plant growth and yield. Therefore, in this study, temporal and spatial distribution of GDD for maize was examined as a basis to estimate the growth and yield of maize in these regions. METHODS AND RESULTS: Meteorological date produced by NASA (MERRA-2) was used to estimate GDD of maize at this study sites. The GDD was calculated from sowing (May 1) to harvesting (Sep. 30). The average GDD of this region between 2010 and 2015 was $1323.0^{\circ}C$ day (595.3-1838.9). The spatial distribution of GDD showed a similar pattern during the different years surveyed. Double cropping for maize could be in only Liaoning province, northwestern Jilin province, and western and eastern Heilongjiang province where the GDD was over $1600^{\circ}C$day. However, The GDD in eastern Heilongjiang province was varied by year. CONCLUSION: The GDD of maize in northeast district of China was varied spatially, but similar among recent six years at the same region. This result can be used to predict growth stage and yield of maize at these regions.

• Journal of Astronomy and Space Sciences
• /
• 제29권4호
• /
• pp.407-411
• /
• 2012

Space-borne remote sensing is an effective and inexpensive way to identify crop fields and detect the crop condition. We examined the multi-temporal spectral characteristics of rice fields in South Korea to detect their phenological development and condition. These rice fields are compact, small-scale parcels of land. For the analysis, moderate resolution imaging spectroradiometer (MODIS) and RapidEye images acquired in 2011 were used. The annual spectral tendencies of different crop types could be detected using MODIS data because of its high temporal resolution, despite its relatively low spatial resolution. A comparison between MODIS and RapidEye showed that the spectral characteristics changed with the spatial resolution. The vegetation index (VI) derived from MODIS revealed more moderate values among different land-cover types than the index derived from RapidEye. Additionally, an analysis of various VIs using RapidEye satellite data showed that the VI adopting the red edge band reflected crop conditions better than the traditionally used normalized difference VI.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제3권3호
• /
• pp.331-343
• /
• 2009

Many types of sensor data exhibit strong correlation in both space and time. Both temporal and spatial suppressions provide opportunities for reducing the energy cost of sensor data collection. Unfortunately, existing clustering algorithms are difficult to utilize the spatial or temporal opportunities, because they just organize clusters based on the distribution of sensor nodes or the network topology but not on the correlation of sensor data. In this paper, we propose a novel clustering algorithm based on the correlation of sensor data. We modify the advertisement sub-phase and TDMA schedule scheme to organize clusters by adjacent sensor nodes which have similar readings. Also, we propose a spatio-temporal suppression scheme for our clustering algorithm. In order to show the superiority of our clustering algorithm, we compare it with the existing suppression algorithms in terms of the lifetime of the sensor network and the size of data which have been collected in the base station. As a result, our experimental results show that the size of data is reduced and the whole network lifetime is prolonged.

• Spatial Information Research
• /
• 제14권1호
• /
• pp.163-176
• /
• 2006

지역분석 기법에서 지리사상의 공간적인 특성을 가장 잘 반영하는 개념 중 하나인 공간연관성은 "모든 것은 다른 모든 것과 연관되어 있지만, 가까운 것은 먼 것보다 더욱 관련이 있다"고 하는 Tobler의 법칙과 그 맥을 같이 한다. 이 연구는 공간통계와 지리적시각화를 결합하여 공간연관성의 시계열 패턴을 탐색적으로 분석하는 지리정보시스템을 개발하는 것을 목적으로 하며, 전역적 및 국지적 공간연관성 분석을 통한 공간현상의 클러스터 탐지나 공간연관성의 시계열 탐색을 통한 사회경제적 변화의 모니터링은 공간정책 투입의 의사결정을 지원하는 수단으로 기능할 수 있다. 전역적 및 국지적 공간연관성을 측정하는 데 반드시 필요한 근린가중치행렬은 행정구역 폴리곤의 기하 및 거리에 기반한 유연한 가중치모형을 구현하여 사용하였으며, 기존의 지리적시각화 기법을 응용 및 개선한 시계열 평행좌표플롯, 시계열 애니메이션지도, 3D 시계열 모란산포도 등을 통해 공간연관성의 시계열 패턴을 효과적으로 표현하였다. 실제 공간현상에 대한 적용 및 평가를 위하여 1995년부터 2004년까지 10년간의 전국 시군구단위 지가변동률 자료를 이용하여 공간연관성의 시계열적 특성을 분석함으로써 시스템의 유용성을 확인하였다.

• 한국어류학회지
• /
• 제32권3호
• /
• pp.148-159
• /
• 2020

본 연구는 동해 중부 연안에 서식하는 명태의 연직 분포와 개체 크기의 계절 및 연간 변화를 분석하였다. 2016년 1월부터 2018년 2월까지 채집된 명태 개체의 전장은 16.6 cm~81.5cm 범위를 나타내었으며, 50~600 m 사이의 수심대에서 어획되었다. 이 중 25~35 cm 그룹이 차지하는 비율은 45.5%, 35~45 cm 그룹이 차지하는 비율은 27.2%를 나타내며 높은 비율을 차지하였다. 평균 전장은 1월에 가장 크고, 6월에 가장 작았으며, 6월 이후 점차 증가하는 계절주기 변동 특성을 나타내었다. 25 cm 미만 그룹은 100~200 m 수심에 서식하는 비율이 겨울철에 가장 높으며, 이후 봄, 여름, 가을에는 보다 깊은 수심으로 주 서식처를 변화하여 400 m 이상 수심에서 서식하는 비율이 40% 이상을 차지하였다. 25~35 cm와 35~45 cm 개체 그룹의 겨울철 연직 분포는 400 m 이상 수심에서 서식하는 비율이 45% 이상을 기록하였으며, 봄과 여름에는 보다 얕은 수심영역으로 서식처를 변화하여 200 m 미만 수심에서 서식하는 비율이 증가하였다. 이후 가을부터는 다시 서식하는 수심대가 깊어져 300 m 이상 수심의 비율이 증가하였다. 45 cm 이상 개체 그룹은 뚜렷한 계절 변동성을 나타내지 않으며 300 m 이상 수심에서 서식하는 비율이 가장 높았다. 이러한 명태의 연직 분포는 서식처의 물리적 환경 변화에 영향을 받는다. 특히, 상층부의 수온이 상승하고 수온약층 아래 100~300 m 수심대의 수온이 하강한 시기에는 300 m 이상의 깊은 수심대에서 어획되는 비율은 감소한 반면, 수온이 하강한 100~300 m 수심대에서 어획되는 비율이 증가하였다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2023년도 학술발표회
• /
• pp.247-247
• /
• 2023

Coastal lagoons play a crucial role in water exchange, water quality, and biodiversity. It is essential to monitor and understand the dynamics of hydrogeochemistry in lagoon water and its groundwater to preserve and sustainably manage the groundwater-dependent ecosystems like coastal lagoons. This study investigated the spatial and temporal hydrogeochemical characteristics of coastal lagoon (Songjiho) and groundwater on the east coast of Korea. The concentrations of major ions, water isotopes, and nutrients (nitrogen and dissolved organic carbon) in lagoon water and groundwater were periodically monitored for one year. The study revealed that major ions and total dissolved solids (TDS) concentration were higher at deeper depths of aquifers and closer to the coastal area. The hydrogeochemical characteristics of coastal lagoon and groundwater chemistry were classified into two types, Ca-Mg-HCO₃ and Na-Cl, based on their spatial location from inland to coastal area. Moreover, the hydrogeochemical characteristics of coastal lagoons and groundwater varied significantly depending on the season. During the wet season, the increased precipitation and evaporation lead to changes in water chemistry. As a result, the total organic carbon (TOC) of coastal lagoons increases during this season, likely due to increased runoff by rainfall whereas the variation of chemical compositions in the lagoon and groundwater were not significant because there is reduced precipitation, resulting in stable water levels and during the dry season. The study emphasizes the impact of spatial distribution and seasonal changes in precipitation, evaporation, and river discharge on the hydrogeochemical characteristics of the coastal aquifer and lagoon system. Understanding these impacts is crucial for managing and protecting coastal lagoons and groundwater resources.