Earticle

The study was conducted to verify application developed an Automatic Forest Resource Investigation Program (AFRIP) of the Terrestrial Laser Scanning (TLS) for accuracy, speed and effectiveness of forest resource investigation. We set up study plot(plot size 30m × 30m) and investigated sample plot survey. Simultaneously, compared and analyzed to expert survey and terrestrial laser scanner Study site located Daegwallyeong, Gangneung city, Gwangwondo with Pinus densifora stand, 10 class of Age, 51.8cm of DBH and 22.6m of tree height. The results of analysis are 51.8cm of average DBH and 22.6m of tree height in expert survey, 50.9cm and 23.0m in Terrestrial Laser Scanning(TLS) and 51.6cm and 23.1m in developed automatic analyzing program of TLS. The deviation of measurement were 0.9cm and 0.2cm in DBH and –0.4cm and –0.5cm among expert survey, Terrestrial Laser Scanning(TLS) and automatic 3D analyzing program in measurement of DBH and tree height, there were no significant difference among three measurements. And it taken measuring data accurately and rapidly in forest survey by TLS in results of this study. Especially the applied automatic program in this study, the TLS showed precise measurements of measured DBH and height to the extent to which little difference was found between the outcomes by expert. Hence, it is expected to be applied with efficiency on the forest inventory spot.

The h-plot is a graphical technique for displaying the structure of one population's variance-covariance matrix. This follows the mathematical algorithem of the principle component biplot based on the singular value decomposition. But it is known that the singular value decomposition is not resistant, i.e., it is very sensitive to small changes in the input data. In this article, since the mathematical algorithm of the h-plot is equivalent to that of principal component biplot of Choi and Huh (1994), we derive the resistant h-plot.

수공구조물의 설계 시 적절한 확률수문량을 추정하는 것은 매우 중요하며, 이러한 확률수문량을 추정하기 위해서는 표본으로서의 수문자료를 잘 표현할 수 있는 확률분포형을 찾아야 한다. 이와 같이 수문자료에 통계적 특성을 잘 표현할 수 있는 확률분포형을 찾기 위해서 적합도 검정을 실시하며, 적합도 검정 중 하나인 확률도시 상관계수 검정은 비교적 최근에 개발되어 그 사용법이 간단하며 높은 기각능력을 갖는다고 알려져 있다. 본 연구에서는 왜곡도 계수의 영향을 고려할 수 있는 도시위치공식을 이용하여 확률도시 상관계수 검정통계량을 유도하고 그 기각능력을 검토하였으며, 그 결과를 기존에 왜곡도 계수를 고려하지 않은 확률도시 상관계수 검정 방법과 비교해보았다. 그 결과 본 연구에서 유도된 확률도시 상관계수 검정에 의한 기각능력이 기존의 검정 방법들 보다 뛰어났으며, 특히 표본 크기가 작을수록, 발생 분포형이 형상 매개변수를 가질 경우 기각능력이 높게 나타나는 것으로 나타났다.

It is important to estimate an appropriate quantile for design of hydraulic structure. For this purpose, it is necessary to find the appropriate probability distribution which can represent the sample data well. Probability plot correlation coefficient test as one of goodness-of-fit test, is recently developed and has been known as a simple and powerful method. In this study, probability plot correlation coefficient test statistics using the plotting position considering the coefficients of skewness for the GEV distribution is derived, and represented by the regression equation. Monte-Carlo method is also performed to compare the rejection power between each method. As the results, the probability plot correlation coefficient test which is derived in this study is better than the others. In particular, when sample size is small and distribution has the shape parameter, rejection power of probability plot correlation coefficient test considering the coefficients of skewness is bigger than the others.