• Journal of Microbiology and Biotechnology
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• 제28권9호
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• pp.1517-1526
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• 2018

Investigating bacterial diversity and its metabolic capabilities is crucial for interpreting the ecological patterns in a desert environment and assessing the presence of exploitable microbial resources. In this study, we evaluated the spatial heterogeneity of physicochemical parameters, soil bacterial diversity and metabolic adaptation at meter scale. Soil samples were collected from two quadrats of a desert (Thar Desert, India) with a hot, arid climate, very little rainfall and extreme temperatures. Analysis of physico-chemical parameters and subsequent variance analysis (p-values < 0.05) revealed that sulfate, potassium and magnesium ions were the most variable between the quadrats. Microbial diversity of the two quadrats was studied using Illumina bar-coded sequencing by targeting V3-V4 regions of 16S rDNA. As for the results, 702504 high-quality sequence reads, assigned to 173 operational taxonomic units (OTUs) at species level, were examined. The most abundant phyla in both quadrats were Actinobacteria (38.72%), Proteobacteria (32.94%), and Acidobacteria (9.24%). At genus level, Gaiella represented highest prevalence, followed by Streptomyces, Solirubrobacter, Aciditerrimonas, Geminicoccus, Geodermatophilus, Microvirga, and Rubrobacter. Between the quadrats, significant difference (p-values < 0.05) was found in the abundance of Aciditerrimonas, Geodermatophilus, Geminicoccus, Ilumatobacter, Marmoricola, Nakamurella, and Solirubrobacter. Metabolic functional mapping revealed diverse biological activities, and was significantly correlated with physicochemical parameters. The results revealed spatial variation of ions, microbial abundance and functional attributes in the studied quadrats, and patchy nature in local scale. Interestingly, abundance of the biotechnologically important phylum Actinobacteria, with large proposition of unclassified species in the desert, suggested that this arid environment is a promising site for bioprospection.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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• pp.138-140
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• 2003

The aim of this study is to evaluate the effect of spatial resolutions on the accuracy to landslide susceptibility mapping. For this, landslide locations were identified in the Boun, Korea from interpretation of aerial photographs and field surveys. The topographic, soil, forest, geologic, linearment and land use data were collected, processed and constructed into a spatial database using GIS and remote sensing data. The 15 factors that influence landslide occurrence were extracted and calculated from the spatial database with 5m, 10m, 30m, 100m and 200m spatial resolutions. Landslide hazardous area were analysed and mapped using the landslide-occurrence factors by probability model, likelihood ratio, for the five cases spatial resolutions. The results of the analysis were verified using the landslide location data. In the cases of spatial resolution 5m, 10m and 30m, the verification results was similar, but in the cases of 100m and 200m the results worse than the others. Because the scale of input data was 1:5,000 ? 1:50,000, so the cases of 5m, 10m and 30m have similar accuracy but the cases of 100m and 200m have the lower accuracy. From this, there is an effect of spatial resolutions on accuracy and landslide susceptibility mapping the result is dependent on input map.

• 대한원격탐사학회지
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• 제23권3호
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• pp.153-160
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• 2007

Forest cover density studies using high resolution satellite data and object oriented classification are limited in India. This article focuses on the potential use of QuickBird satellite data and object oriented classification in forest density mapping. In this study, the high-resolution satellite data was classified based on NDVI/pixel based and object oriented classification methods and results were compared. The QuickBird satellite data was found to be suitable in forest density mapping. Object oriented classification was superior than the NDVI/pixel based classification. The Object oriented classification method classified all the density classes of forest (dense, open, degraded and bare soil) with higher producer and user accuracies and with more kappa statistics value compared to pixel based method. The overall classification accuracy and Kappa statistics values of the object oriented classification were 83.33% and 0.77 respectively, which were higher than the pixel based classification (68%, 0.56 respectively). According to the Z statistics, the results of these two classifications were significantly different at 95% confidence level.

• 한국농공학회논문집
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• 제46권7호
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• pp.3-12
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• 2004

The need to predict the rate of soil erosion, both under existing conditions and those expected to occur following soil conservation practice, has been led to the development of various models. In this study Morgan model especially developed for field-sized areas on hill slopes was applied to assess the rate of soil erosion using RS/GIS environment in the Dukchun river basin, one of two tributaries flowing into Jinyang lake. In order to run the model, land cover mapping was made by the supervised classification method with Landsat TM satellite image data, the digital soil map was generated from scanning and screen digitizing from the hard copy of soil maps, digital elevation map (DEM) in order to generate the slope map was made by the digital map (DM) produced by National Geographic Information Institute (NGII). Almost all model parameters were generated to the multiple raster data layers, and the map calculation was made by the raster based GIS software, IL WIS which was developed by ITC, the Netherlands. Model results show that the annual soil loss rates are 5.2, 18.4, 30.3, 58.2 and 60.2 ton/ha/year in forest, paddy fields, built-up area, bare soil, and upland fields respectively. The estimated rates seemed to be high under the normal climatic conditions because of exaggerated land slopes due to DEM generation using 100 m contour interval. However, the results were worthwhile to estimate soil loss in hilly areas and the more precise result could be expected when the more accurate slope data is available.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.430-433
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• 2005

In this study, weight of evidence(WOE) technique based on the bayesian method was applied to estimate the groundwater yield characteristics in the Pocheon area in Kyungki-do. The ground water preservation depends on many hydrogeologic factors that include hydrologic data, landuse data, topographic data, geological map and other natural materials, even with man-made things. All these data can be digitally collected and managed by GIS database. In the applied technique of WOE, The prior probabilities were estimated as the factors that affect the yield on lineament, geology, drainage pattern or river system density, landuse and soil. We calculated the value of the Weight W+, W- of each factor and estimated the contrast value of it. Results by the ground water yield characteristic calculations were presented in the form of posterior probability map to the consideration of in-situ samples. It is concluded that this technique is regarded as one of the effective technique for the feasibility mapping related to detection of groundwater bearing zones and its spatial pattern.

• 한국토양비료학회지
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• 제45권6호
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• pp.1164-1172
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• 2012

급격한 토지이용의 변화가 진행되고 있는 수도권 인근의 고양시, 남양주시, 용인시를 대상으로 고해상도 영상과 수치지도를 활용하여 논, 밭, 시설재배지, 과수원의 면적과 형상, 이용 현황을 파악하기 위한 농경지 지도를 작성하여 기존 수치지도와 비교한 결과 기존 수치지도에 비해 농경지의 이용 현황을 보다 세부적으로 정확하게 분류할 수 있었다. 또한, 농경지 지도와 수치 지적도의 농경지 부분을 중첩하여 '07년 토지이용도로 갱신하고 '99년에 작성된 토지이용도와 비교한 결과 3개 시 모두 조사기간 동안 논 면적이 3,000~5,000 ha 정도 크게 감소한 것으로 나타났으며, 밭과 과수원도 논과 함께 주거지로 전용되면서 감소하는 추세였다. 그러나 집약적인 재배가 가능하여 고소득이 기대되고 다른 지목으로 변경이 용이한 시설재배지의 경우에는 면적이 비슷하거나 증가한 경향을 보였다. 향후 고해상도 영상을 활용한 농경지 지도의 확대 구축과 이를 활용한 토지이용도 제작은 토양 조사 등 각종 조사 사업의 최신 자료로 활용 될 수 있을 뿐 아니라, 정확한 경지면적 산출을 통해 농업통계 및 농업정책 자료로써 효율적인 경지관리에 활용될 수 있을 것으로 판단된다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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• pp.254-261
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• 2000

Soil chemical properties, relief of field surface, SPAD values and grain yield were investigated in a 0.5ha paddy field in 1999 to obtain basic field information for precision agriculture. Descriptive statistics of field information showed that the coefficient of variation ranged from 1.63% to 38.7%. Field information showed a high spatial dependence for within paddy field. The ranges of spatial dependence were from 15m to 60m, respectively. Kriged maps enable the visualization and comparison the spatial variability of field information. The causes of spatial variability of the field information could be explained rationally by a field management map. Grain yield was negatively correlated with pH, relief values, whereas, was positively correlated with total C, total N, C/N ratio, mineralizable N, available P and exchangeable K, Ca at the significant level of 1 %.

• Journal of Applied Biological Chemistry
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• 제58권1호
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• pp.39-50
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• 2015

본 연구에서는 오염토양 내 중금속 안정화 효율 평가를 위해 계분(PM), $300^{\circ}C$에서 생산한 바이오차(PBC300), $700^{\circ}C$에서 생산한 바이오차(PBC700)를 2.5, 5.0, 10.0 wt% 수준으로 토양에 처리하고 21일 간 항온배양하였다. 항온배양 후 토양의 pH는 PM 10.0 wt%, PBC300 10.0 wt%, PBC700 10 wt% 처리구에서 각각 7.51, 7.24, 7.88로 나타나 무처리구(pH 6.94)에 비해 유의적으로 증가하였는데 이는 PM, PBC300, PBC700 자체의 알칼리성에 기인한 결과로 판단되었다. 중금속의 TCLP 용출시험 결과 PM 처리구의 경우 용출되는 납(142-408% 증가), 카드뮴(39-77% 증가), 아연(20-24% 증가), 구리(241-955% 증가)의 농도가 모두 증가하였으며, 이는 PM 처리 시 급격하게 증가된 토양 내 DOC와 관련된 것으로 판단되었다. 그러나 PBC700 처리구의 경우 납, 카드뮴, 아연, 구리의 농도가 모두 감소하여 안정화되었으며, 무처리구 대비 감소율은 각각 7-23, 11-38, 11-52, 19-36%으로 나타났다. MINTEQ을 이용한 열역학 모델링 결과 PBC700 10.0 wt% 처리구에서는 납과 구리 화학종의 경우 수산화물인 $Pb(OH)_2$, $Cu(OH)_2$의 침전이 예상되었다. 특히, 납의 경우 매우 낮은 용해도를 보유한 chloropyromorphite [$Pb_5(PO_4)_3Cl$], hydroxypyromorphite [$Pb_5(PO_4)_3OH$] 등의 침전이 예상되었다. 이와 함께 SEM-elemental dot mapping을 이용한 원소분포 조사 결과, 다른 처리구와 달리 PBC700 처리구의 경우 납과 인의 분포부분이 중첩되어 두 원소간의 연관성이 있는 것으로 판단되었다. 이를 종합할 때, PBC700 처리구의 납 용출 농도의 감소는 PBC700이 함유한 인과 오염토양에 존재하는 납이 매우 안정한 형태의 화학종인 chloropyromorphite, hydroxypyromorphite 등을 형성하면서 나타난 결과로 판단된다.

• 한국지반환경공학회 논문집
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• 제18권6호
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• pp.21-30
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• 2017

본 연구에서는 도심지 토사재해 예비중점관리 대상지역 중 충주시 안림동, 대전광역시 부사동, 안동시 신안동 3개 연구지역을 선정하여 지반특성을 분석하였다. 연구지역별 특성(수관밀도, 뿌리점착력, 강우특성, 토질특성)을 이용하여 지반특성 간의 상관관계를 고찰하고, 토사재해 예측 모델링을 통해 위험지역을 예측하였다. 토사재해 위험지 예측 모델의 비교 분석을 위하여 산지토사재해 예측프로그램(LSMAP), Stability Index MAPping(SINMAP), 산림청의 산사태위험지도(LHMAP)를 활용하였으며, 토사재해 예측에 적합한 프로그램을 검토하였다. 토사재해 위험도 예측결과 일반적으로 사용되고 있는 SINMAP의 경우 과다한 범위를 위험지역으로 예측하고, 산림청 산사태위험지도(LHMAP)의 경우는 예측지역이 가장 적게 산정되었으며, LSMAP은 SINMAP 및 LHMAP의 중간 정도 범위의 지역을 위험지역으로 예측하였다. 이러한 예측 결과의 차이는 LSMAP이 비교된 두 모델에 비해 분석 매개변수가 비교적 다양하고, 공학적이기 때문인 것으로 판단되며 보다 정밀한 예측이 가능하다는 것을 알 수 있었다.

• 지질공학
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• 제31권3호
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• pp.269-281
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• 2021

Land creeping is the imperceptibly slow, steady, downward movement o f slope-forming soil or rock. Because creep-related failures occur frequently on a large scale without notice, they can be hazardous to both property and human life. Korea Forest Service has operated the prevention and response system from land creeping which has been on the rise since 2018. We categorized and proposed three survey steps (e.g., preliminary, regional, detailed) for investigation of creeping susceptibility site with a focus on geophysical mapping of a selected test site, Yongheung-dong, Pohang, Korea. The combination of geophysical (dipole-dipole electrical resistivity tomography and reciprocal seismic refraction technique, well-logging), geotechnical studies (standard penetrating test, laboratory tests), field mapping (tension cracks, uplift, fault), and comprehensive interpretation of their results provided the reliable information of the subsurface structures including the failure surface. To further investigate the subsurface structure including the sliding zone, we performed high-resolution geophysical mapping in addition to the regional survey. High-resolution seismic velocity structures are employed for stability analysis because they provided more simplified layers of weathering rock, soft rock, and hard rock. Curved slip plane of the land creeping is effectively delineated with a shape of downslope sliding and upward pushing at the apex of high resistive bedrock in high-resolution electrical resistivity model with clay-mineral contents taken into account. Proposed survey steps and comprehensive interpretation schemes of the results from geological, geophysical, and geotechnical data should be effective for data sets collected in a similar environment to land-creeping susceptibility area.