• 한국지하수토양환경학회지:지하수토양환경
• /
• 제22권1호
• /
• pp.33-40
• /
• 2017

Identification of radon in soil provides information on the areas at risk for high radon exposure. In this study, we measured uranium-238 and radon-222 concentrations in soil to assess their approximate levels in Seoul. A total of 246 soil samples were taken to analyze uranium with ICP-MS, and 120 measurements of radon in soil were conducted with an in-situ radon detector, Rad7 at a depth of 1-1.5 m. The data were statistically analyzed and mapped, layered with geological classification. The range of uranium in soil was from 0.0 to 8.5 mg/kg with a mean value of 2.2 mg/kg, and the range of radon in soil was from 1,887 to $87,320Bq/m^3$ with a mean value of $18,271Bq/m^3$. The geology had a distinctive relationship to the uranium and radon levels in soil, with the uranium and radon concentrations in soils overlying granite more than double those of soils overlying metamorphic rocks.

• 대한원격탐사학회지
• /
• 제21권3호
• /
• pp.189-211
• /
• 2005

This paper makes an effort to compare the recently evolved soft classification method based on Linear Spectral Mixture Modeling (LSMM) with the traditional hard classification methods based on Iterative Self-Organizing Data Analysis (ISODATA) and Maximum Likelihood Classification (MLC) algorithms in order to achieve appropriate results for mapping, monitoring and preserving valuable coastal wetland ecosystems of southern India using Indian Remote Sensing Satellite (IRS) 1C/1D LISS-III and Landsat-5 Thematic Mapper image data. ISODATA and MLC methods were attempted on these satellite image data to produce maps of 5, 10, 15 and 20 wetland classes for each of three contrast coastal wetland sites, Pitchavaram, Vedaranniyam and Rameswaram. The accuracy of the derived classes was assessed with the simplest descriptive statistic technique called overall accuracy and a discrete multivariate technique called KAPPA accuracy. ISODATA classification resulted in maps with poor accuracy compared to MLC classification that produced maps with improved accuracy. However, there was a systematic decrease in overall accuracy and KAPPA accuracy, when more number of classes was derived from IRS-1C/1D and Landsat-5 TM imagery by ISODATA and MLC. There were two principal factors for the decreased classification accuracy, namely spectral overlapping/confusion and inadequate spatial resolution of the sensors. Compared to the former, the limited instantaneous field of view (IFOV) of these sensors caused occurrence of number of mixture pixels (mixels) in the image and its effect on the classification process was a major problem to deriving accurate wetland cover types, in spite of the increasing spatial resolution of new generation Earth Observation Sensors (EOS). In order to improve the classification accuracy, a soft classification method based on Linear Spectral Mixture Modeling (LSMM) was described to calculate the spectral mixture and classify IRS-1C/1D LISS-III and Landsat-5 TM Imagery. This method considered number of reflectance end-members that form the scene spectra, followed by the determination of their nature and finally the decomposition of the spectra into their endmembers. To evaluate the LSMM areal estimates, resulted fractional end-members were compared with normalized difference vegetation index (NDVI), ground truth data, as well as those estimates derived from the traditional hard classifier (MLC). The findings revealed that NDVI values and vegetation fractions were positively correlated ($r^2$= 0.96, 0.95 and 0.92 for Rameswaram, Vedaranniyam and Pitchavaram respectively) and NDVI and soil fraction values were negatively correlated ($r^2$ =0.53, 0.39 and 0.13), indicating the reliability of the sub-pixel classification. Comparing with ground truth data, the precision of LSMM for deriving moisture fraction was 92% and 96% for soil fraction. The LSMM in general would seem well suited to locating small wetland habitats which occurred as sub-pixel inclusions, and to representing continuous gradations between different habitat types.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2002년도 봄 학술발표회 논문집
• /
• pp.329-336
• /
• 2002

The earth structures and in-ground LNG tank, and buildings can be constructed with using artificial freezing method on the reclaimed land. In this study, upon freezing a saturated soil in a closed-system from the top, a considerable pressure was developed. The pressure is the result of the surface energy of a curved ice-water interface. The most significant of these parameters will have the greatest effect on the classification. In order to establish frost-susceptibility criteria based on frost heaving expansion pressure, more soils have to be tested. This study was initiated to investigate the soils frost heaving expansion pressure and moisture characteristics resulting from freezing and freezing-thawing cycle process. Weathered granite soils, sandy soil, sandy soil were used in the laboratory freezing test subjected to thermal gradients under closed- systems.

• 한국측량학회지
• /
• 제31권6_2호
• /
• pp.521-527
• /
• 2013

Rule set is an important step which impacts significantly on accuracy of object-oriented classification result. Therefore, this paper proposes a rule set to extract land cover from Landsat Thematic Mapper (TM) imagery acquired in Donganh, Hanoi, Vietnam. The rules were generated to distinguish five classes, namely river, pond, residential areas, vegetation and paddy. These classes were classified not only based on spectral characteristics of features, but also indices of water, soil, vegetation, and urban. The study selected five indices, including largest difference index max.diff; length/width; hue, saturation and intensity (HSI); normalized difference vegetation index (NDVI) and ratio vegetation index (RVI) based on membership functions of objects. Overall accuracy of classification result is 0.84% as the rule set is used in classification process.

• 한국토양비료학회지
• /
• 제29권2호
• /
• pp.81-85
• /
• 1996

1. 밭 토양의 개별특성(個別特性)인 지형조건(地形條件)과 경사도(傾斜度), 유효토심(有效土深) 및 밭 토양의 집단특성(集團特性)인 규모(規模)(면적), 분포토양의 복합도(複合度)(soil complexity), 작도단위(作圖單位)(군(群))의 분산도(分散度)(mapping unit separation), 사업 예정지역의 장폭비(長幅比)(W/L ratio) 등을 연역적(演繹的)으로 계수화(係數化)하여, 적성등급(適性等級)의 일종으로 볼 수 있는 밭 토양 경지정리(耕地整理) 대상지역(對象地域) 선정기준(選定基準)을 제안하였다. 2. 본 기준을 표본지역(標本地域)인 화강암지대(花崗岩地帶) 전작지역(田作地域)과 퇴적암지대(堆積岩地帶) 답작지역(畓作地域)의 밭 토양에 적용하여 본 결과, 지역특성을 객관적으로 차등화(差等化)하므로서 상호비교가 용이하였다. 3. 밭 토양 경지정리(耕地整理) "매우 적합지(適合地)"는 하성평원지(河成平垣地) 전작지(田作地)이거나 밭 토양이 집단적으로 분포된 저구릉지(低丘陵地)로서 분포토양이 단순하고 작도단위당(作圖單位當) 면적도 넓은 지역이었다. 한편, "부적지(不適地)"는 좁고 긴 곡간(谷間)으로서 곡저부(谷底部)(valley bottom)가 논으로 되어있어 작도단위(作圖單位)가 분산(分散)된 지역이었다.

• Geomechanics and Engineering
• /
• 제8권5호
• /
• pp.649-661
• /
• 2015

This research provides insight on the laboratory investigation of the engineering properties of a lateritic soil modified with the mucilage of Opuntia ficus-indica cladodes (MOFIC), which has a history of being used as an earthen plaster. The soil is classified, according to AASHTO classification system, as A-2-6(1). The Atterberg limits, compaction, permeability, California bearing ratio (CBR) and unconfined compressive strength of the soil were determined for each of 0, 4, 8 and 12% addition of the MOFIC, by dry weight of the soil. The plasticity index, optimum moisture content, swell potential, unconfined compressive strength and permeability decreased while the soaked and unsoaked CBR increased, with increasing MOFIC contents. The engineering properties of the natural soil, which only satisfies standard requirements for use as subgrade material, became improved by the application of MOFIC such that it meets the standard requirements for use as sub-base material for road construction. The effects of MOFIC on the engineering properties of the soil resulted from bioclogging and biocementation processes. MOFIC is recommended for use as a modifier of the engineering properties of soils, especially those with similar characteristics to that of the soil used in this study, to be used as a pavement layer material. It is more economical and environment-friendly than conventional soil stabilizers or modifiers.

• 정보처리학회논문지D
• /
• 제9D권5호
• /
• pp.939-944
• /
• 2002

In this paper, we propose and apply new classification method to the remotely sensed image acquired from airborne multi-spectral scanner. This is a neuro-fuzzy image classifier derived from the generic model of a 3-layer fuzzy perceptron. We implement a classification software system with the proposed method for land cover image classification. Comparisons with the proposed and maximum-likelihood classifiers are also presented. The results show that the neuro-fuzzy classification method classifies more accurately than the maximum likelihood method. In comparing the maximum-likelihood classification map with the neuro-fuzzy classification map, it is apparent that there is more different as amount as 7.96% in the overall accuracy. Most of the differences are in the "Building" and "Pine tree", for which the neuro-fuzzy classifier was considerably more accurate. However, the "Bare soil" is classified more correctly with the maximum-likelihood classifier rather than the neuro-fuzzy classifier.

• Journal of Forest and Environmental Science
• /
• 제15권1호
• /
• pp.98-106
• /
• 1999

본 연구는 춘천 가리산 지역의 상걸임도를 대상으로 성토사면의 토질력학적 특성을 파악하여 사면안정해석 및 대책공법의 수립을 위한 기초자료를 제공하고자, 겉보기 토질분류기준인 토사, 호박돌토사, 풍화암 사면에서 토사를 채취하여 시험을 실시하였다. 각 토양시험으로부터 흙의 입도분석(KS F 2302), 흙의 액성한계시험 (KS F 2303), 흙의 소성한계시험(KS F 2304), 흙의 함수량시험(KS F 2306), 흙의 비중시험 (KS F 2308)을 실시하였다. 또한 각 사면에 대해 흙의 입도분석을 통하여 입경분포, 균등계수, 곡률계수를, 흙의 함수량시험과 흙의 비중시험을 통하여 흙의 건조밀도와 비중을 산출하였다. 그 결과, 통일분류법에 의한 토질분류는 SW, SP, GP로, 건조밀도는 $2.52{\sim}2.60g/cm^3$, 비중은 1.39~1.43으로 나타났으며, 소성지수는 비소성 상태인 것으로 나타났다.

• 자원환경지질
• /
• 제55권4호
• /
• pp.389-398
• /
• 2022

비소 및 중금속으로 오염된 토양 내 함량과 농작물로 전이되는 함량 간의 관련성을 도출하기 위한 연구가 지속적으로 수행되고 있으나 두 함량 간의 낮은 상관성으로 인하여 명확한 결과가 도출되지 못하고 있다. 이 연구에서는 토양 내 비소 전함량과 단일용출 가용성 함량뿐만 아니라 토양의 물리·화학적 특성을 함께 고려하여 백미로 전이되는 비소 함량을 예측하는 통계학적 모델을 만들고자 하였다. 토양 특성 중 pH, 단일용출 가용성 함량, 유기물 함량에 따라 순차적으로 토양을 분류하며 회귀분석을 통한 예측 모델을 도출하였다. 80개의 백미 내 비소 함량과 토양 내 비소 전함량 및 Mehlich 가용성 함량 간의 상관계수는 각각 0.533과 0.493으로 낮았다. 그러나 토양을 pH, Mehlich 가용성 함량에 대한 전함량, 유기물 함량으로 순차적으로 분류하여 모델을 도출한 결과, ① pH가 6.5보다 높은 13개의 토양은 0.963, ② pH가 6.5 이하이고 As_Tot/As_Mehlich 비가 높은 15개의 토양은 0.849, ③ pH가 6.5 이하이고 As_Tot/As_Mehlich 비가 낮으며 8.5% 이하의 유기물을 함유한 30개의 토양은 0.935로 예측력이 크게 증가하였다. 이 연구에서 도출된 토양 분류에 따른 백미 전이 함량 예측 모델은 비소 오염 토양에 대해 신뢰성 있는 백미 재배 기준을 설정하는데 의미있는 방법론을 제안할 수 있을 것이다.

• 한국지진공학회:학술대회논문집
• /
• 한국지진공학회 2005년도 학술발표회 논문집
• /
• pp.90-101
• /
• 2005

For the site characterization at two representative inland areas, Gyeongju and Hongsung, in Korea, in-situ seismic tests containing boring investigations and resonant column tests were performed and site-specific ground response analyses were conducted using equivalent linear as well as nonlinear scheme. The soil deposits in Korea were shallower and stiffer than those in the western US, from which the site classification system and site coefficients in Korea were derived. Most sites were categorized as site classes C and D based on the mean shear wave velocity to 30 m, Vs30 ranging between 250 and 650 m/s. Based on the acceleration response spectra determined from the site-specific analyses, the site coefficients specified in the Korean seismic design guide underestimate the ground motion in the short-period band and overestimate the ground motion in mid-period band. These differences can be explained by the differences in the bedrock depth and the soil stiffness profile between Korea and western US. The site coefficients were re-evaluated and the preliminary site classification system was introduced accounting for the local geologic conditions on the Korean peninsula.