This study was carried out to provide basic data for logical forest management by developing a site index curve reflecting the current growth characteristics of Cryptomeria japonica stands in Korea. The height growth model was developed using the Chapman-Richards, Schumacher, Gompertz, and Weibull algebraic difference equations, which are widely used in growth estimation, for data collected from 119 plots through the 7th National Forest Inventory and stand survey. The Chapman-Richards equation, with the highest model fit, was selected as the best equation for the height growth model, and a site index curve was developed using the guide curve method. To compare the developed site index curve with that on the yield table, paired T-tests with a significance level of 5% were performed. The results indicated that there were no significant differences between the site index curve values at all ages, and the p-value was smaller after the reference age than before. Therefore, the site index curve developed through this study reflects the characteristics of the changing growth environment of C. japonica stands and can be used in accordance with the site index curve on the current yield table. Thus, this information can be considered valuable as basic data for reasonable forest management.

This study applies the Johansen cointegration test and vector error correction model (VECM) to investigate the long-run equilibrium and short-run causality between China Export Containerized Freight Index (CCFI) and China Newbuilding Containership Price index (CNCPI). The empirical results show that there is a long-run cointegration relationship between them. In the long run, an increase in CCFI will drive growth in CNCPI, and similarly, an increase in CNCPI will also drive growth in CCFI. However, in the short term, they have no causal relationship. Our study provides a new perspective for policy making in China’s shipbuilding industry.

This study aimed to classify typhoons using a more objective index based on strong winds and precipitation data from 1904 to 2019 obtained from the Automated Surface Observing System. The Typhoon Type Index (TTI) was calculated by classifying wind speed and precipitation of each typhoon, thereby revealing the rate and characteristics of the wind-type and rain-type typhoons. In addition, the top 10 typhoons for property damage were analyzed by dividing them into three types according to the typhoon course. The analysis showed that typhoons of type 1, heading north to the west coast, were most clearly affected by the wind. In addition, the impact of the wind was reduced and the impact of rain increased in the order of typhoon type 2 that landed on the southern coast and type 6 that affected the Korean Peninsula through China.

Heatwaves can affect human health and vegetation growth and bring about energy problems and socioeconomic damages, so the analysis and prediction of the heatwave is a crucial issue under a warming climate. This paper examines the production of STCI (Standard Temperature Condition Index) using ASOS (Automated Synoptic Observing System) in-situ observation data for the period of 1979-2020, and an STCI predictability assessment with an RF (Random Forest) model using ERA5 (ECMWF Reanalysis 5) meteorological variables. The accuracy was quite high with the MAE (Mean Absolute Error) of 0.365 and the CC (Correlation Coefficient) of 0.873, which corresponded to 7% to 10% difference for the range of STCI<1.5, and to 1% to 3% difference for the range of STCI>1.5, in terms of the probability density function. Also, we produced gridded maps for the summer STCI from 1979 to 2020 by utilizing the ERA5 raster data for the RF prediction model, which enables the spatial expansion of the ASOS point-based STCI to a continuous grid nationwide. The proposed method can be applied to forecasting of STCI by adopting future meteorological or climatic datasets.

Concern about water quality and pollution was heightened as contaminants flowed into the Namhan River downstream of the Chungju Dam. Thus, this study calculated the Real-Time Water Quality Index (RTWQI) using monthly average water quality monitoring data for major tributaries that require water quality control, which were obtained between 2010 and 2019. To review the applicability of the RTWQI for water quality assessment in the major tributaries of the Namhan River, it was compared with the living environment standard river. The calculated RTWQI result indicated that Bokhacheon, with 59 points, was in the “fair” grade, and this stream was identified as a tributary that preferentially requires water quality improvement as it showed a decreasing (-) tendency of RTWQI. A comparison between RTWQI and the living environment standard of T-P showed that the categories of “completely coincident” and “different by one grade” accounted for 45% of the total, and the water quality of major tributaries was assessed as low. Therefore, the RTWQI, which applies comprehensive water quality parameters and has higher reliability than assessing a single water quality parameter, was determined to be efficient for water quality assessment of the major tributaries of the Namhan River.

This paper has presented not only the spatial coverage change of climate extreme events in summer and winter seasons during the period of 2000-2017, but also their future projections in 2021-2100, South Korea through analysis of a Combined Climate Extreme Index (CCEI). The CCEI quantifies the spatial coverage of climate extreme events based on a set of five indicators. MK (Modified Korean)-PRISM (Parameter-elevation Regression on Independent Slopes Model)v1.2 (1×1km) and RCP scenario data (1×1km) were applied to CCEI. Results indicated that in average, 21.7% of the areas in the summer and 23.6% in the winter experienced climate extremes from 2000 to 2017 regardless of types of climate extreme events in South Korea. The summer of 2003 and 2009 was relatively cool and humid, while the summer of 2014 and 2015 was cool and dry and the summer of 2016 was warm and dry. The extreme events with much above normal maximum and minimum temperature during the study period were detected but not much below normal maximum and minimum temperature after 2015. For RCP2.6 and RCP8.5 scenarios, there were statistically significant trends with spatial coverage expansion of climate extreme events in the future. It might be concluded that climate extreme events in the summer and winter seasons were affected simultaneously by two or more indicators than a single indicator in South Korea.

Vietnam is conducting an export-led growth model and labour-intensive industries contributing majorly to the total export value. In the context of Industry 4.0, the labour-based industries are significantly affected; hence, enhancing productivity is the key measure to maintain these industries. The garment industry contributes significantly to the total export value of Vietnam. Based on meta-frontier framework, the approach of data envelopment analysis is used to measure technical efficiency of Vietnamese garment firms and the global Malmquist TFP index is utilised to identify productivity change and its components including efficiency, technology and technical gaps between different groups of firms. The data of Vietnamese garment firms from 2013 to 2018 collected from the Vietnam General Statistic Office is used in this study. The results show that: (i) The total factor productivity of Vietnamese garment firms growth, technical progress is the main contributor; (ii) The private garment sector is the leading group; (iii) There is a large technological gap among Vietnamese garment sectors. The private and FDI garment firms have experienced a growth in all components of total factor productivity change. Meanwhile, technological progress change is the main reason to constrain the productivity growth of state-owned garment firms.

Nifty Bank Index has started trading in futures and options (F&O) segment from 13th June 2005 in National Stock Exchange. The purpose of the study is to enhance the literature by examining expiration effect on the price volatility and price reversal of Underlying Index in India. Historical data used for the current study primarily comprise of daily close prices of Nifty Bank which is the only equity sectoral index in India which is traded in derivatives market and its Future contract value is derived from the underlying CNX Bank Index during the period 1st January 2010 till 31st March 2020. To check stationarity of the data, Augmented Dicky Fuller test was used. The study employed ARMA- EGARCH model for analysing the data. The empirical results revealed that there is no effect on the mean returns of underlying Index and EGARCH (1,1) model furthermore shows there is existence of leverage effect in the Bank Index i.e., negative shocks causes more fluctuations in the Index than positive news of similar magnitude. The outcome of the study specifies that there is no effect on volatility on the underlying sectoral index due to expiration days and also observed no price reversal effect once the expiration days are over.

This study was conducted to investigate the efficacy of mixed probiotic on the immunity, productivity index and mortality rate in the broiler. Total of 120 one-day-old Ross broilers chicks were randomly assigned into two treatments (control dietary group and probiotic-treated group) with three replications of each treatment. The probiotic group broiler had a lower mortality rate than control during the experimental period. The productivity index in the probiotic group increased significantly than the control group. The weight of the bursa of fabricius was high in the probiotic-treated group than the control group. Activated the immunity level after fed the probiotic mixed diet compared to the control group. Furthermore, the probiotic diet significantly decreased the saturated fatty the control group. Whereas the probiotic mixed diet increased the unsaturated fatty acid than the control group. Afterward, the diet including probiotic induced positive impact on broilers immunity level. This indicates that a probiotic mixed diet could be protecting the intestine from the invasion of a pathogenic organism. It would be beneficial to the poultry industries by decrease the broiler mortality rate with elevated the immunity.

Nowadays, many construction engineering and technology enterprises are evolving to find that prosperity is driven and inspired by an open economy with dynamic markets and fierce multifaceted competition. Besides brand and product uniqueness, the ability to quickly provide customers with quotes are matters of concern. Such a requirement for prompt cost estimation of construction investment projects with the use of a construction price index poses a significant challenge to contractors. This is because the nature of the construction industry is shaped by changes in domestic and foreign economic factors, socio-financial issues, and is under the influence of various micro and macro factors. This paper presents a fuzzy decision-making approach for calculating critical factors that affect the construction price index. A qualitative approach was implemented based on in-depth interviews of experts in the construction industry in Vietnam. A synthetic comparison matrix was calculated using Buckley approach. The CoA approach was applied to defuzzified the fuzzy weights of factors that affect the construction price index. The research results show that the top five critical factors affecting the construction price index in Vietnam are (1) consumer price index, (2) gross domestic product, (3) basic interest rate, (4) foreign exchange rate, and (5) total export and import.

The objective of this study is to enrich the literature by investigating the impact of introduction of index future trading on spot market returns and trading volume in Vietnam. Data used in this study mainly consist of daily VN30-Index and market trading volume series during the period from February 6th, 2012 to December 31st, 2019. Using OLS, GARCH(1,1) and EGARCH(1,1) models, the empirical findings consistently confirm that the introduction of index future trading has no impact on the spot market returns. In addition, the results of the EGARCH(1,1) model indicate that the leverage effect on the spot market volatility is existence in HOSE. Specifically, bad news has a greater effect on the market volatility than good news of the same size. Moreover, our empirical findings reveal that the introduction of index future contracts has the positive impact on the underlying market trading volume. Specifically, the trading volume of the post-index futures introduction increases by 7.5 percent compared with the pre-index futures introduction. Finally, the results obtained from the Granger causality test for the relationship between the spot market returns and the future trading activity confirm that only uni-directional causality running from the market returns to the future trading activity exists in HOSE.

본 연구는 봄 식물계절지수와 기온지표와의 관계를 알아보기 위해 지난 9년간(2010년-2018년) 대구수목원, 팔공산, 주왕산, 가야산에 공통적으로 생육하는 소나무, 일본잎갈나무, 신갈나무, 진달래, 생강나무, 당단풍나무 6종을 대상으로 발아, 개화, 개엽의 봄 식물계절 시기의 변화 경향과 기온간의 관계를 파악하였다. 기온의 변화는 9년동안 2월 보다 3~4월의 월평균 기온이 증가하였으며, 지역별로 수목원과 팔공산의 평균기온이 높았다. 발아, 개화, 개엽은 수종별로 생강나무가 가장 빠르며 소나무가 가장 느렸고, 지역별로 수목원에서 가장 빨리 식물 계절시기가 도래하였다. 봄 식물계절시기는 –1.267~-6.151일 /9년 정도 앞당겨지고 있는 경향을 보이는데 소나무(–6.151일/9 년)가 가장 크며, 진달래(–1.267일/9년)의 변화율이 가장 낮았다. 발아, 개화, 개엽에서 모두 유의한 값을 보이는 수종은 진달래와 소나무로서 이들은 1월~3월 평균기온과 상관관계를 보였다. 봄 식물계절지수(SPI)의 시계열 변화를 확인한 결과 4개 지역의 변화율이 모두 음의 값으로 식물계절 시기가 모두 빨라지고 있었다. 그 중 수목원, 팔공산 및 가야산과 같은 내륙지역일수록 변화율이 컸으며, 다소 거리가 떨어진 주왕산의 경우 변화율이 조금 낮게 나타났다.

An application of an integrated climate extreme index (CEI) is presented, that quantifies observed climate change of South Korea by various five indicators. Based on an annual basis surface observation station data, climate extreme indicators that measure the fraction of the stations in South Korea are analyzed. Results for the annual CEI indicate that the area experiencing much above-normal maximum and minimum temperatures in recent years has been increased. The extremes in much greater-than-normal number of days with or without precipitation has a large interannual variability similar with much above and below normal standardized precipitation index. Results from above-normal proportion of heavy daily precipitation show a more pronounced increasing feature from 1990’s to the early 2010’s. Five indicators in CEI had distinct contrasting features which indicates that CEI can be a useful tool in providing the information on the percentage of the climate in South Korea that experienced various kinds of extreme conditions during any given year or period.

Successful launch requires state-of-the-art launch vehicle technology and constant test operations, However, the meteorological threat to the launch vehicle flight trajectory is also an important factor for launch success. Atmospheric stability above the Naro Space Center at the this time is very important, especially because the initial flight operation can determine the success of the launch. Moreover, during the flight of launch vehicle with rapid pressure and thrust into the atmosphere, convection activity in the atmosphere may create environmental conditions that cause severe weather threats such as thunderstorms. Hence, studies of atmospheric instability characteristics over the Naro Space Center are a necessary part of successful launch missions. Therefore, the main aims of this study were to (1) verify the atmospheric stability index and convection activity characteristics over the Naro Space Center using radiosonde data observed from 2007 to 2018 by the Naro Space Center, (2) analyze changes in the atmospheric stability index according to monthly and seasonal changes, and (3) assess how the calculated atmospheric stability index is related to actual thunderstorm occurrence using statistical analysis. Additionally, we aimed to investigate the atmospheric characteristics above the Naro Space Center through the distribution chart of the atmospheric stability index during summer, when convection activity is highest. Finally, we assessed the relationship between lightning occurrence and unstable atmospheric conditions, through predictability analysis performed using the lightning observation data of the Korea Meteorological Administration.

In this study, water quality levels were classified and water quality indices were calculated and analysed by using the water quality components of living environmental standards monitored 10 years (2008 ~ 2017) at four stations in the West Nakdong River. As a result of analyzing the monthly variation of the water quality components of the living environmental standards, the water quality in the West Nakdong River was worse downstream than upstream, and pollution at the WNR3 located in the downstream of the Jomangang was the most serious. As a result of classification of water quality levels, BOD and COD levels were the lowest, so water quality pollution in the West Nakdong River was found to be highly influenced by organic matters. The water quality index was the lowest in July and August at four stations, so water quality is showing the worst in summer. As a result of analyzing the correlation between the water quality components and the water quality index, the correlation between the TOC and the water quality index was high in the four stations, and the water quality index in the West Nakdong River was dominated by organic matters and nutrients.

목적: 본 연구는 시각적 착시에 의한 지각된 난이도 변화가 동작 수행에 어떠한 영향을 미치는지 알아보고자 하 였다. 방법: 본 연구의 참여자는 정상이거나 교정시력을 보유한 8명(남자 6명, 여자 2명)으로 우세 손이 오른손인 자들로 구성되었다. 연구 참여자는 Verbal 판단과제, 판단수행과제, 그리고 연속수행과제를 수행하였다. 각 과제별로 5cm, 10cm, 20cm로 난이도가 구분이 된 Inverted-T 도형을 무작위로 제시하였다. Verbal 판단과제는 도형을 보여준 뒤 수평선과 수직선 중 어느 선이 더 길어 보이는지 구두로 표현하게 하였다. 판단수행과제는 연구 참여 자가 수평선과 수직선의 거리를 마크가 부착된 막대를 벌려 제시하게 하였으며, 이때 제시된 마크를 촬영하였다. 연속수행과제는 각 도형별 주어진 타겟을 40회 왕복 태핑 하는 과제를 실시하였으며 총 운동시간을 측정하였다. 결과: Verbal 판단과제 수행 결과 참여자 8명 모두 수직선이 길다고 판단하였다. 판단수행과제에서 5명의 참여자 가 수직선이 수평선보다 길다고 판단한 것으로 나타났다. 반면 3명의 참여자는 수평선이 수직선보다 길다고 하였다. 연속수행과제에서는 연속적인 움직임 수행 시 착시가 영향을 미치지 않는 것으로 나타났다. 반면 난이도 지수가 커질수록 운동시간이 늘어나는 것으로 나타났다. 결론: Inverted-T 도형은 지각 판단 시 수직선을 긴 것으로 지각하였으나, 연속수행과제 시착시는 동작에 영향을 미치지 않는 것으로 나타나, 시각시스템이 두 개의 경로로 나뉘어 처리되는 것을 시사한다.

본 논문은, 시설물안전법의 적용을 받지 않아 안전사각 지대에 놓여 있는 중소규모 교량들의 유지관리 전략 수립시 기초자료로 활용할 수 있는, 중소규모 교량 성능평가 우선순위 결정 방안을 제시하기 위해 실시하였다. 이를 위해 취약도와 영향도를 기반으로 하는 위험도 지수를 산출하고, 산출된 위험도 지수에 따라 이들 교량들을 성능평가 즉시실시교량, 단기실시교량 및 관찰교량으로 구분하여 제안하고, 실제 공용중에 있는 중소규모 교량에 적용하여 제안한 방안의 현장 적용성을 확인하였다. 연구결과, 여기서 제시된 방안은 향후 중소규모 교량의 유지관리 전략 수립에 적절히 활용되어 중소규모교량 사고 방지 및 유지관리 예산절감에 기여할 수 있을 것으로 판단되었다.