• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.1
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• pp.84-95
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• 2011

The purpose of this study is to increase the usage of satisfaction of outdoor exercise equipment installed at parks when plans and designs are made for renovation or formation of parks. In order to do so, the study surveyed and analyzed the usage satisfaction of 150 men and women who use outdoor exercise equipment in neighborhood parks located in Dongtan New Town. There were four factors that affect the variables of usage satisfaction. They can be defined as the main facility factor, awning factor, maintenance factor, and additional facility factor. From the result regression analysis of the total satisfaction rate and the factors, the main facility factor was the most influential of the variables. This could indicate that the facility factor affects the satisfactory rate of outdoor exercise equipment. This research is done only with the examples of neighborhood parks, so it limits the possibility of analysis of seasonal use. It is necessary to conduct analysis research of parks which installed many outdoor exercise equipment, such as a vest-pocket park, children's garden, and pedestrian/urban/metropolitan neighborhood parks.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.67 no.1
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• pp.53-60
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• 2022

Recently, Black soybean (Glycine max L. Merr.) is being cultivated in paddy fields instead of rice. However, research related to the effective sowing date is insufficient in paddy fields. This study aimed to identify the sowing date for stable cultivation of black soybean by investigating its yield and seed characteristics in a paddy field. In the study, cultivation experiment with five different sowing dates (May 25, June 10, June 25, July 10, July 25) were conducted in 2019 and 2020. Days from sowing to flowering can be shortened by delaying the sowing date. In the present study, the yield of black soybean in paddy fields was the highest with June 10 as the sowing date and was calculated as 224 kg·10a^-1 and 200 kg·10a^-1 in 2019 and 2020, respectively. However, the highest values of seed coat cracking was 51.1±5.1% and that of total anthocyanin contents was the 3.99±0.72 mg/g, both of which were observed in 2020 for the experiment with May 25 as the sowing date. Regression analysis showed a positive correlation (R²=0.9312) between soil water contents and seed coat cracking rate during the flowering period. Hence, the soil water contents during the flowering period would have a negative effect on the seed coat development.

• Journal of Environmental Impact Assessment
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• v.26 no.6
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• pp.470-478
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• 2017

This study was classified into two groups, normal season group and drought season group, by the cluster analysis using the weather and water quality data from 2012 to 2015, using SPSS 18 version. Also each cluster was classified into three spaces, Gangcheon, Yeoju and Ipoh weir. We performed the multiple regression analysis with each monthly data that concentration of Chl-a was more than algae warming level. 6 groups classified in time and space were analyzed by the correlation analysis between concentration of Chl-a and 3 weather, 11 water quality and discharge factors. We developed Chl-a prediction equations of each group with independent variables of the multiple regression analysis applying to the correlation result. The result of cluster analysis was that the period was divided into two groups, normal group(2012-2013) that total annual precipitation rate was normal and drought group(2014-2015) that total annual precipitation rate was less than 1,000 mm/hr, in time. The months that concentration of Chl-a was more than algae warming level in each group classified by cluster analysis were that the normal group was 3~8 and drought group was 3 and 6~10. The correlation result between Chl-a and weather, water quality and discharge factors for each 6 group was that relationships between Chl-a and water, discharge factors were high in the drought group more than in normal group at all weirs. This was influenced by velocity reduction and increasing HRT according to the intense drought. Weather, water quality and discharge factors that were high correlation with Chl-a were applied to independent variables of Chl-a prediction equations and each equations were developed. Among them, Each adjusted R square of Prediction equations for Chl-a in each group at Ipoh weir where is located in Namhan river downstream and is directly connected to Paldang dam were normal group = 0.920 and drought group = 0.818. It's showed the high linear.

• Korean Journal of Remote Sensing
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• v.32 no.2
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• pp.195-200
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• 2016

Water vapor leading various scale of atmospheric circulation and accounting for about 60% of the naturally occurring warming effect is important climate variables. Using the Total Precipitable Water (TPW) from Moderate Resolution Imaging Spectroradiometer (MODIS) operating on both Terra and Aqua, we study long-term Variation of TPW and define relationship among TPW and climatic parameters such as temperature and precipitation to quantitatively demonstrate the impact on climate change over East Asia focusing on the Korea peninsula. In this study, we used linear regression analysis to detect the correlation of TPW and temperature/precipitation and harmonic analysis to analyze changeable aspects of periodic characteristics. A result of analysis using linear regression analysis between TPW and climate elements, TPW shows a high determination coefficient ($R^2$) with temperature and precipitation (determination coefficient between TPW and temperature: 0.94, determination coefficient between TPW anomaly and temperature anomaly: 0.8, determination coefficient between TPW and precipitation: 0.73, determination coefficient between TPW anomaly and precipitation anomaly: 0.69). A result of harmonic analysis of TPW and precipitation of two-year to five-year cycle, amplitude contribution ratio of 3.5-year cycle are much higher and two phases are similar in 3.5-year cycle.

• Journal of Korea Water Resources Association
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• v.52 no.7
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• pp.505-514
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• 2019

Our country is making efforts to manage water resources efficiently. In the future, It is necessary to develop a plan after subdividing the basin considering regional problems and water use, topographical and climatic characteristics. This study constructed water supply and demand system based on the standard watershed unit for water shortage evaluation considering spatial resolution. In addition, water shortage were calculated and compared using the MODSIM model in the Han-river basin. As a result, the average water shortage occurring during the 49 years (1967-2015) was 129.98 million $m^3$ for the middle watershed unit and 222.24 million $m^3$ for the standard watershed unit, resulting in a difference of about 2.1 billion m3. However, the trends and distribution of water shortage occurrence were very similar. The reason for this is that, in the case of the Middle watershed unit analysis, water shortages are calculated for the demand for living, industrial, and agricultural water for the representative natural flow value, assuming that all the water can be used in basin. The standard basin unit analysis showed that the difference between the fractionated supply and demand resulted in a large water shortage due to the relatively small amount of available water, and that the main stream did not show water shortage due to the ripple effect of the return flow. If the actual water use system is considered in the model as well as the subdivision of the spatial unit, it will be possible to evaluate the water supply and demand reflecting the regional characteristics.

• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1283-1293
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• 2022

The purpose of this study is to predict residual chlorine in order to maintain stable residual chlorine concentration in sedimentation basin by using artificial intelligence algorithms in water treatment process employing pre-chlorination. Available water quantity and quality data are collected and analyzed statistically to apply into mathematical multiple regression and artificial intelligence models including multi-layer perceptron neural network, random forest, long short term memory (LSTM) algorithms. Water temperature, turbidity, pH, conductivity, flow rate, alkalinity and pre-chlorination dosage data are used as the input parameters to develop prediction models. As results, it is presented that the random forest algorithm shows the most moderate prediction result among four cases, which are long short term memory, multi-layer perceptron, multiple regression including random forest. Especially, it is result that the multiple regression model can not represent the residual chlorine with the input parameters which varies independently with seasonal change, numerical scale and dimension difference between quantity and quality. For this reason, random forest model is more appropriate for predict water qualities than other algorithms, which is classified into decision tree type algorithm. Also, it is expected that real time prediction by artificial intelligence models can play role of the stable operation of residual chlorine in water treatment plant including pre-chlorination process.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.19
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• pp.39-46
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• 1975

The optimum plot size and shape for soybean yield trials were estimated by using two different soybean varieties, Kumkang-daelip and Clark. Long narrow shape plot was generaIly showed lower C.V. value as compared to the plots consisted of more row number with short row length. The results obtained in this experiment provided the optimum size and shape of plots for Clark as 1. 4m x 6m, and for Kumkang-dailip as 1.4m $\times$ 9m, respectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.1977-1981
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• 2007

K-WEAP(Korea-Water Evaluation And Planning System)은 한국건설기술연구원과 SEI-US(Stockholm Environment Institute-US Center)가 공동으로 개발하고 있는 통합수자원평가계획모형으로서, 대부분의 기능은 기존의 SEI-US가 개발한 WEAP(Water Evaluation And Planning System)에 기반을 두고 있지만, 국내 실정에 맞도록 수정 보완한 후, 단계적으로 그 기능을 개선해 나가고 있어 향후 수자원계획을 위한 종합적인 도구로서 활용이 기대된다. 현재까지 K-WEAP의 2단계 기능개선 작업을 수행하였다. 주요 개선기능으로는 물수지모형의 개선과 하천수질모형의 개선, 편익산정모형의 개발 등이 있으며, 최근 보다 정확하고 다양한 오염원에 대한 하천수질 모의를 위해 Qual2K와의 연계시스템을 개발하여 수량과 수질을 동시에 모의할 수 있게 하였다. 현재까지 개선된 기능으로는 물수지모형의 개선으로써 수요처 최소수질기준 설정기능을 개발하여 수질이 낮은 수원에서는 물을 공급받을 수 없는 상황을 물수지 분석시 적용할 수 있게 하였다. 하천수질모형의 개선부분에서는 분할 오염부하량 산정기능을 개선하여 수요처 오염부하량 산정시 사회경제지표와 오염원단위를 곱하여 발생량을 계산하는 방법과 직접 수요처 회귀수의 각 오염성분 농도를 입력하는 방법을 추가하였으며 K-WEAP과 Qual2K와의 연계시스템을 개발하여 보다 정확하고 다양한 오염원에 대한 하천수질모의를 가능케 하였다. 또한 모의된 수질결과와 관측치를 비교하기 위해 수질모의결과 검정기능도 추가하였다. 수자원계획 및 평가에 있어서의 편익산정을 하기 위해 경제성분석 모형도 추가하였으며, 사용자 인터페이스 부분에서는 시나리오간 결과를 비교할 수 있는 기능과 지역관리 기능을 개선함으로써 사용자가 보다 편리한 환경에서 수자원계획과 평가를 수행할 수 있게 하였다. 개선된 기능을 통해 보다 정확한 수량-수질 연계 모의가 가능해졌으며 사용자들은 보다 쉽고 정확하게 모의결과를 평가 할 수 있을 것으로 기대된다.

• Korean Journal of Weed Science
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• v.6 no.2
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• pp.124-129
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• 1986

Weeds emerging on winter wheat and barley field at early spring are troublesome, even with pre-emergence application of herbicides such as butachlor, tribunil, etc. Searching the proper post-applicating herbicides to control those weeds, three herbicides; ioxynil, bromoxynil and MCPA were evaluated with weeding efficacies in barley field. Tank mixture of bromoxynil and MCPA was the most excellent in weeding efficacy, especially in higher mixing rate at early April application to the broad-leaf weeds, among others.

• Korean Journal of Soil Science and Fertilizer
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• v.30 no.1
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• pp.84-88
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• 1997

To establish N fertilizer recommendation method based on nitrate content of the soil for the Chinese cabbage grown in the plastic film house. Chinese cabbage was grown in the pots containing the plastic film house soils with various levels of $NO_3{^-}-N$ and different levels of fertilizer N. The nitrate nitrogen showed the positive correlation with nitrogen uptake amount by plant and the negative correlation with fertilizer nitrogen use efficiency of plant. The content of nitrate nitrogen in soil for maximum yield of Chinese cabbage was 310 mg/kg. An equation for the recommendation of fertilizer N for Chinese cabbage based on $NO_3{^-}-N$ in the soil was suggested.