• 제목/요약/키워드: soil variables

검색결과 526건 처리시간 0.023초

한국 서남해안 습지의 식물 군집에 미치는 토양요인 (Soil Factors Affecting the Plant Communities of Wetland on Southwestern coast of Korea)

  • 임병선;이점숙
    • The Korean Journal of Ecology
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    • 제21권4호
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    • pp.321-328
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    • 1998
  • To describe the major environmental factors operating in coastal wetland and to characterize the distribution of the plant species over the wetland in relation to the major environmental gradients, 12 soil physical and chemical properties were determined. The gradient of water and osmotic potential of soil, electrical conductivity, sodium and chloride content and soil texture alsong the three habitat types of salt marshes, salt swamp and sand dune were occurred. The 24 coastal plant communities from principal component analysis (PCA) on the 12 variables were at designated as a gradient for soil texture and water potential related with salinity by Axis I and as a gradient for soil moisture and total nitrogen gradient by Axis II On Axis I were divided into 3 groups (1) 9 salt marsh communities including Salicornia herbacea communities (2) 5 salt swamp communities including Scirpus fluviatilis communities and (3) 10 sand dune communities including Jmperata cylindrica communities on Axis II were divided into 2 groups (1) salt marsh and sand dune communities, and (2) 3 salt swamp communities. The results could account for the zonation of plant communities on coastal wetland observed alsong envionmental gradients.

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DNN 회귀모형을 이용한 산악 지형 토양수분 산정 (Estimation of DNN-based Soil Moisture at Mountainous Regions)

  • 천범석;이태화;김상우;김종건;장근창;천정화;장원석;신용철
    • 한국농공학회논문집
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    • 제62권5호
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    • pp.93-103
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    • 2020
  • In this study, we estimated soil moisture values using the Deep Neural Network(DNN) scheme at the mountainous regions. In order to test the sensitive analysis of DNN scheme, we collected the measured(at the soil depths of 10 cm and 30 cm) soil moisture and DNN input(weather and land surface) data at the Pyeongchang-gun(relatively flat) and Geochang-gun(steep slope) sites. Our findings indicated that the soil moisture estimates were sensitive to the weather variables(5 days-averaged rainfall, 5 days precedent rainfall, accumlated rainfall) and DEM. These findings showed that the DEM and weather variables play the key role in the processes of soil water flow at the mountainous regions. We estimated the soil moisture values at the soil depths of 10 cm and 30 cm using DNN at two study sites under different climate-landsurface conditions. The estimated soil moisture(R: 0.890 and RMSE: 0.041) values at the soil depth of 10 cm were comparable with the measured data in Pyeongchang-gun site while the soil moisture estimates(R: 0.843 and RMSE: 0.048) at the soil depth of 30 cm were relatively biased. The DNN-based soil moisture values(R: 0.997/0.995 and RMSE: 0.014/0.006) at the soil depth of 10 cm/30 cm matched well with the measured data in Geochang-gun site. Although uncertainties exist in the results, our findings indicated that the DNN-based soil moisture estimation scheme demonstrated the good performance in estimating soil moisture values using weather and land surface information at the monitoring sites. Our proposed scheme can be useful for efficient land surface management in various areas such as agriculture, forest hydrology, etc.

직교배열표 실험계획법에 의한 심해저 점착성 연약지반용 무한궤도차량의 선회성능에 대한 실험 연구 (An Experimental Study on Steering Performance of Tracked Vehicle on Deep-sea Cohesive Soft Soil by DOE using Orthogonal Arrays)

  • 최종수;홍섭;김형우
    • 한국해양공학회지
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    • 제20권4호
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    • pp.37-42
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    • 2006
  • This paper is concerned with experimental investigation of steering performance of a tracked vehicle on extremely soft soil. A tracked vehicle model with principal dimensions of 0.9 m(L)x0.75 m(B)x0.4 m(H) and weight of 167 kg was constructed with a pair of driving chain links, driven by two AC-servo motors. The tracks were configured with detachable grousers with variable span. A deep seabed was simulated by means of a bentonite-water mixture in a soil bin of 6.0 m(L)x3.7 m(B)x0.7 m(H). The turning radii of vehicle and driving torques of motors were measured with respect to experiment variables: steering ratio, driving speed, grouser chevron angle, grouser span, and grouser height. L8 orthogonal table is adopted for DOE (Design of experiment). The effects of experiment variables on steering performance are evaluated.

Analysis of shallow footings rested on tensionless foundations using a mixed finite element model

  • Lezgy-Nazargah, M.;Mamazizi, A.;Khosravi, H.
    • Structural Engineering and Mechanics
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    • 제81권3호
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    • pp.379-394
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    • 2022
  • Shallow footings usually belonged to the category of thick plate structures. For accurate analysis of thick plates, the contribution of out-of-plane components of the stress tensor should be considered in the formulation. Most of the available shallow footing models are based on the classical plate theories, which usually neglect the effects of the out-of-plane stresses. In this study, a mixed-field plate finite element model (FEM) is developed for the analysis of shallow footings rested on soil foundations. In addition to displacement field variables, the out-of-plane components of the stress tensor are also assumed as a priori unknown variables. For modeling the interaction effect of the soil under and outside of the shallow footings, the modified Vlasov theory is used. The tensionless nature of the supporting soil foundation is taken into account by adopting an incremental, iterative procedure. The equality requirement of displacements at the interface between the shallow footing and soil is fulfilled using the penalty approach. For validation of the present mixed FEM, the obtained results are compared with the results of 3D FEM and previous results published in the literature. The comparisons show the present mixed FEM is an efficient and accurate tool for solving the problems of shallow footings rested on subsoil.

Spatial Downscaling of AMSR2 Soil Moisture Content using Soil Texture and Field Measurements

  • Na, Sangil;Lee, Kyoungdo;Baek, Shinchul;Hong, Sukyoung
    • 한국토양비료학회지
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    • 제48권6호
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    • pp.571-581
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    • 2015
  • Soil moisture content is generally accepted as an important factor to understand the process of crop growth and is the basis of earth system models for analysis and prediction of the crop condition. To continuously monitor soil moisture changes at kilometer scale, it is demanded to create high resolution data from the current, several tens of kilometers. In this paper we described a downscaling method for Advanced Microwave Scanning Radiometer 2 (AMSR2) Soil Moisture Content (SMC) from 10 km to 30 m resolution using a soil texture and field measurements that have a high correlation with the SMC. As a result, the soil moisture variations of both data (before and after downscaling) were identical, and the Root Mean Square Error (RMSE) of SMC exhibited the low values. Also, time series analyses showed that three kinds of SMC data (field measurement, original AMSR2, and downscaled AMSR2) had very similar temporal variations. Our method can be applied to downscaling of other soil variables and can contribute to monitoring small-scale changes of soil moisture by providing high resolution data.

철도 유류 오염토양의 복원방안에 관한 기초연구 (A Basic Study on the Remediation of Railroad Oil-contamination Soil)

  • 정우성;박덕신;양지원
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2003년도 추계학술대회 논문집(III)
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    • pp.484-490
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    • 2003
  • Fundamental data was obtained to apply to the real contaminated soil of railroad by analyzing pollutant-elimination efficiency and process variables through electro-kinetic technology as well as by investigating Pollution sources of railroad soil contaminated by oil and pollution propensities.

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강수량과 지형변수의 관계: 제주도 사례연구

  • 김석중
    • 한국지하수토양환경학회:학술대회논문집
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    • 한국지하수토양환경학회 2004년도 임시총회 및 추계학술발표회
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    • pp.147-150
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    • 2004
  • 수자원을 평가하기 위해서는 먼저 한 지점에서 측정된 강수량을 보간해야 할 필요가 있다. 이를 위하여 강수현상에 영향을 주는 지형변수를 TOVA(Topographic Variables Extraction Program)를 이용하여 고도(ELEV), 경사(SLOPE), 바다까지의 거리(SEA), 방해물(OBST), 방벽(BAR), 굴곡도(SHIELD)로 구분하고 2000.1.1부터 2002.12.31까지의 강수량 자료를 사상별로 추출하여 이들을 서로 비교 분석하였다. 결정계수로 보면 각기 강수사상마다 지형의 영향이 다르게 나타나며 ELEV와 남서방향의 SLOPE, OBST 그리고 전 방향의 SHIELD가 강수량과 관계가 깊은 것으로 나타났다. 다중회귀분석 모형은 강수량의 공간적 변동량의 96%를 설명한다.

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계절과 수문기상학적 조건에 따른 지역 증발산의 특성화 (Characterization of Local Evapotranspiration Based on the Seasonal and Hydrometeorological Conditions)

  • 임창수;이종태;윤세의
    • 물과 미래
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    • 제29권2호
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    • pp.235-247
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    • 1996
  • 여름우기와 겨울기간 동안에 준건조 기후 유역들(Lucky Hills 그리고 Kendall) 로부터 측정된 기상학적 그리고 토양 함수량 자료를 이용하여 증발산의 조절변수들 간에 상관관계와 매일의 실제 증발산량 산정을 위한 변수들의 영향을 연구하였다. 기상학적 요소와 토양 함수량의 중요도를 알아보기 위하여 단순, 다변량선형상관분석들이 적용되어졌으며, 얻어진 정보는 다변량선형상관모델을 개발하기 위하여 사용되어졌다. 유효 에너지와 대기 증기압 차는 두 다른 유역과 계절 기간 동안에 증발산을 지배하는 중요한 변수인 것으로 판명되어졌다. 그러므로 준건조 기후 지역에 있어서 증발산 과정의 중요한 변수로는 단순히 Penman에 의해서 제안된 잠재 증발산 모형의 에너지 항에 있어서 유효 에너지와 공기 동력 항에 있어서 대기증개압차인 것으로 나타났다.

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다층지반에 근입된 흙막이 벽의 역해석에 관한 연구 (Back Analysis of the Earth Wall in Multi-layered Subgrade)

  • 이승훈;김종민;김수일;장범수
    • 한국지반공학회논문집
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    • 제18권1호
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    • pp.71-78
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    • 2002
  • 본 연구에서는 다층지반에 근입된 흙막이 벽의 단계별 계측변위로부터 각 층의 지반물성을 추정하고 이로부터 차기단계의 거동을 예측하기 위한 역해석 기법을 제안하였다. 지반이 다수의 층으로 구성되어 있을 경우 찾아야 할 대상변수가 많아지게 되며, 대상변수가 많아질수록 역해석에 상당한 무리가 따르게 된다. 이러한 층별 지반물성을 효율적으로 추정하기 위하여 최하단층부터 순차적으로 대상변수들을 찾아가는 방법을 이용하였다. 역해석은 상당량의 반복계산이 필요하기 때문에 정해석 방법으로는 해석시간이 짧고 시공단계 별 해석이 가능한 탄소성보법을 사용하였다. 역해석 대상변수는 탄소성 하중-변위 곡선의 구성요소인 지반반력계수와 수평토압계수들을 취하였으며, 목적함수는 이상변위에 의한 오차를 최소화시키기 위하여 단계별 계측변위 증분과 해석변위 증분의 차이로 구성하였다. 목적함수를 최소화 시키는 대상변수들을 찾기 위한 최적화 수법으로는 제약순차선형계획 법을 이용하였다. 본 연구를 통하여 제안된 방법을 수치해석자료 및 현장계측자료를 이용하여 검증하였다.

정전용량 탐침을 이용한 토양수분 측정장치 개발 (Developement of Soil Moisture Meter using Capacitance Probe)

  • 김기복;이남호;이종환;이승석
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2001년도 학술발표회 발표논문집
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    • pp.65-68
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    • 2001
  • This study was conducted to develop a soil moisture meter using capacitance probe. A parallel cylinder type capacitance probe (C-probe) was fabricated The 5 MHz of crystal oscillator was constructed to detect the capacitance change of the C-probe with moist soil. A third order polynomial regression model for volumetric water content having oscillation frequency changes at 5 MHz as independent variables presented the determination coefficient of 0.979 and root mean square error of $0.031\;cm^{3}cm^{3}$ for all soil samples. A prototype soil moisture meter consisting of the sample container, C-probe, oscillator, frequency counter and related signal procession units presented the correlation coefficient of 0.987 and the root mean square error of $0.032\;cm^{3}cm^{3}$ as compared with the oven drying method for unknown soil samples.

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