• Title/Summary/Keyword: 베리오그램

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Analysis of the Spatial Distribution of Total Phosphorus in Wetland Soils Using Geostatistics (지구통계학을 이용한 습지 토양 중 총인의 공간분포 분석)

  • Kim, Jongsung;Lee, Jungwoo
    • Journal of Korean Society of Environmental Engineers
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    • v.38 no.10
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    • pp.551-557
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    • 2016
  • Fusing satellite images and site-specific observations have potential to improve a predictive quality of environmental properties. However, the effect of the utilization of satellite images to predict soil properties in a wetland is still poorly understood. For the reason, block kriging and regression kriging were applied to a natural wetland, Water Conservation Area-2A in Florida, to compare the accuracy improvement of continuous models predicting total phosphorus in soils. Field observations were used to develop the soil total phosphorus prediction models. Additionally, the spectral data and derived indices from Landsat ETM+, which has 30 m spatial resolution, were used as independent variables for the regression kriging model. The block kriging model showed $R^2$ of 0.59 and the regression kriging model showed $R^2$ of 0.49. Although the block kriging performed better than the regession kriging, both models showed similar spatial patterns. Moreover, regression kriging utilizing a Landsat ETM+ image facilitated to capture unique and complex landscape features of the study area.

Estimating Precise Spatio-Temporal Distribution of Weather Condition Using Semi-Variogram in Small Scale Recreation Forest (Semi-Variogram을 이용한 소규모 자연휴양림 내기상조건의 정밀 시공간 분포 추정)

  • LIM, Chul-Hee;RYU, Dong-Hoon;SONG, Chol-Ho;ZHU, Yong-Yan;LEE, Woo-Kyun;KIM, Min-Seon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.18 no.3
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    • pp.63-75
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    • 2015
  • As forest therapy is getting more attention than ever, it is important to organize time for activity and location based on spatio-temporal distribution of weather condition in forest. This study aimed to analyze precise spatio-temporal distribution of weather condition by installing long-term weather monitoring device in Yonghyun national natural recreation forest and using acquired weather data in order to support forest recreation and therapy activity. First, we statistically compared 4 models of semi-variogram and the results were all similar. We selected and analyzed the circular model for this study because it was presumed to be the best model for this case. We derived 128 results from the circular model and through semi-variogram, we identified seasonal and temporal distributions of temperature and humidity. Then, we used boxplot, made of partial sill level, to identify significant differences in seasonal and temporal distributions. As a result, in spring and early morning, both temperature and humidity showed equalized result. On the other hand, in summer and early afternoon, both temperature and humidity showed uneven result. In spring and early morning, changes in weather condition are shown little from spatial shifting, it is ideal to perform recreational activities and forest therapy but in summer and early afternoon, it is unadvisable to do so as the changes in weather condition could be harmful unless any other means of preparations are made. This study proposes its significance by analyzing seasonal micro-weather of single recreation forest and presenting seasonal and temporal outcomes.

Evaluation of Drainage Improvement Effect Using Geostatistical Analysis in Poorly Drained Sloping Paddy Soil (경사지 배수불량 논에서 배수개선 효과의 지구통계적 기법을 이용한 평가)

  • Jung, Ki-Yuol;Yun, Eul-Soo;Park, Ki-Do;Park, Chang-Young
    • Korean Journal of Soil Science and Fertilizer
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    • v.43 no.6
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    • pp.804-811
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    • 2010
  • The lower portion of sloping paddy fields normally contains excessive moisture and the higher water table caused by the inflow of ground water from the upper part of the field resulting in non-uniform water content distribution. Four drainage methods namely Open Ditch, Vinyl Barrier, Pipe Drainage and Tube Bundle for multiple land use were installed within 1-m position from the lower edge of the upper embankment of sloping alluvial paddy fields. Knowledge of the spatial variability of soil water properties is of primary importance for management of agricultural lands. This study was conducted to evaluate the effect of drainage in the soil on spatial variability of soil water content using the geostatistical analysis. The soil water content was collected by a TDR (Time Domain Reflectometry) sensor after the installation of subsurface drainage on regular square grid of 80 m at 20 m paddy field located at Oesan-ri, Buk-myeon, Changwon-si in alluvial slopping paddy fields ($35^{\circ}22^{\prime}$ N, $128^{\circ}35^{\prime}$). In order to obtain the most accurate field information, the sampling grid was divided 3 m by 3 m unit mesh by four drainage types. The results showed that spatial variance of soil water content by subsurface drainage was reduced, though yield of soybean showed the same trends. Value of "sill" of soil water content with semivariogram was 9.7 in Pipe Drainage, 86.2 in Open Ditch, and 66.8 in Vinyl Barrier and 15.7 in Tube Bundle.