• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.18 no.10
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• pp.768-775
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• 2006

The water supply system has been designing by decision process such as calculation of water supply amount, capacity of water tanks and pumps, pipe size. Especially, when we estimate excessively water supply amount, the initial cost and running cost will increase according to enlargement of the water tank and pump capacity, and water quality of ground water tank can become worse. Therefore, calculation of water supply amount is basically most important factor. In order to calculate exactly water supply amount applying domestic real situation, we should set up basic data as well as study calculation methods. This research would consider calculation methods of water supply amount for school building through examine domestic and foreign basic data of water supply amount and characteristics of domestic school, and estimate daily water supply in high school.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.3
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• pp.107-112
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• 2018

In this study, we conducted to analyze and quantify the amount of nitrogen supply into the rice paddies from the rainfall during cropping and non-crop periods. Rainfall monitoring conducted 85 times from June 2015 to December 2017. Nitrogen supply of cropping season ranged from 5.37 to 7.70 kg/ha, while non-cropping season were supplied from 3.97 to 4.42 kg/ha. The supply of T-N in the crop period was more than 60% of the total supply. And as a result of analyzing the correlation between the characteristics of rainfall and the supply amount, nitrogen concentrations in rainfall were decreased with increasing rainfall, but the supply amount was increased. Therefore, efforts should be made to increase the rainfall utilization and to increase the nitrogen supply of crops by increasing rainfall storage through drainage management.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.11 no.6
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• pp.758-765
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• 1999

The estimation of reasonable amount of domestic cold water and hot water supplies in apartment houses is very important for the economical design of domestic cold water and hot water supply system which include pumps, boilers, heat exchangers, and various water reservoirs. To suggest the model of predicting reasonable amount of domestic cold water and hot water supplies, residents and actual domestic cold water and hot water consumption have been investigated for 740 apartment houses in Seoul and Bun-Dang, Kyunggi-Do. The model is suggested as a function of exclusive area of the apartment house and results of the model show generally good agreement with published data.

• Journal of the Korean housing association
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• v.11 no.3
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• pp.125-136
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• 2000

The purpose of this study was to analyze water consumption in each apartment buildings influenced by several factors that are the income level of inhabitants, life style, the area apartments and climate. The automation of sanitary machines or facilities in recently built apartments has caused largely increases in amount of water consumption. Therefore, the design for water supply is very important for the maintenance of the optimum level or pressure of water supply. This study is based on the offer of basic data for improving the quality of water supply and employing the sanitary machines or sanitary facilities by analysis of amount increased of water consumption rapidly. Amount of water consumption data, the change in quality of entropy to the supply water pipe was analyzed and presented to indicate the necessary to basic materials for the design of an optimal water pipe.

• Journal of Environmental Science International
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• v.11 no.12
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• pp.1217-1226
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• 2002

This study aims at the effective estimation of water supply capacity of small scale reservoir and the proposal of the data which is necessary to establish the water resources management plan of down stream area of the reservoir in the future by comparison and examination about reservoir operation technique for the security of agricultural water in small scale reservoir. The result of flow calculation by Tank model is used for the input data as the inflow data which is needed for the analysis of water supply capacity. Stochastic method, simulation method, and optimization method are used to examine the water supply capacity, and water security amount is compared with each method. From the analyses of water supply capacities by each method, slightly different results are shown in spite of the effort to compare them equally using input data such as inflow data under equal conditions, and the comparison of water supply capacities by each method are as follows; linear planning method, simulation method, and transition probability matrix method in the order of amount from the largest. It is thought that the simulation method in which comparatively reasonable application of the inflow data is possible and is simulated in successive time series dam operation of the three methods used in this study thus, simulation model is proper to estimate the water supply capacity of agricultural small scale reservoir. And it is judged that the heightening of efficiency of water resources utilization according to the development of downstream area of dam may be possible using the upward readjusted water supply amount of $55.18{\tiems}10^6ton$ and $63.7{\times}10^6ton$ at 95% and 90% supply reliability respectively which are above the planning water supply amount of $50.0{\times}10^6$ton when the simulation method is introduced as the standard.

• Journal of the Korean Society of Hazard Mitigation
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• v.8 no.6
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• pp.129-136
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• 2008

The purpose of this study is to find an effective operating system for water supply of Andong Dam. The reliability of water supply was assessed by HEC-5 model based on operated water supply data of Andong Dam and data of Jin-dong water level gauge station in Nak- dong river. In addition, estimated additional amount of water supply was evaluated for each alternative by additional retention of Andong Dam in rainy season from June to September. As the result, additional amount of water supply of each alternative in non-rainy season (excluding rainy season) is increased as $1.35m^3/s{\sim}2.12m^3/s$, it shows that additional amount of water supply can be made by effective operating system for water supply in every dam as Andang Dam.

• Journal of Korean Society of Water and Wastewater
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• v.14 no.3
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• pp.281-290
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• 2000

This study investigates the prediction of daily water supply, which is a necessary for the efficient management of water distribution system. ANFIS, namely artificial intelligence, is a neural network into which fuzzy information is inputted and then processed. In this study, daily water supply was predicted through an application of network-based fuzzy inference system(ANFIS) for daily water supply prediction. This study was investigated methods for predicting water supply based on data about the amount of water which supplied in Kwangju city. For variables choice, four analyses of input data were conducted: correlation analysis, autocorrelation analysis, partial autocorrelation analysis, and cross-correlation analysis. Input variables were (a) the amount of water supply, (b) the mean temperature, and (c) the population of the area supplied with water. Variables were combined in an integrated model. Data of the amount of daily water supply only was modelled and its validity was verified in the case that the meteorological office of weather forecast is not always reliable. Proposed models include accidental cases such as a suspension of water supply. The maximum error rate between the estimation of the model and the actual measurement was 18.46% and the average error was lower than 2.36%. The model is expected to be a real-time estimation of the operational control of water works and water/drain pipes.

• The Journal of Fisheries Business Administration
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• v.47 no.4
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• pp.57-63
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• 2016

The purpose of this study was to raise some questions about the supply and demand statistics of fisheries products and to find implications for food supply and demand. There are three problems in the statistics of fisheries supply and demand. First, it is a structural problem of supply and demand statistics. Supply and demand statistics are not accurate because the feed, the amount of loss, and the waste rate are not surveyed. Second, the amount of fish used as a moist pellet is missing. Third, although some of the seaweed and kelp production is used as abalone feed, it is not classified as feed. Taking these results into consideration, at least 300,000 tons should be classified as feed for fisheries supply and demand statistics. As mentioned above, the current statistics on the supply and demand of fisheries are incomplete and structural improvement is needed.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.3
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• pp.105-117
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• 2001

This paper models supply uncertainty in the dynamic Newsboy problem context. The system consists of one supplier and one retailer who places an order to the supplier every period to meet stochastic demand. Supply uncertainty is modeled as the uncertainty in quantities delivered by the supplier. That is, the supplier delivers exactly the amount ordered by the retailer with probability of $\beta$ and the amount minus K with probability of (1-$\beta$). We formulate the problem as a dynamic programming problem and prove that retailer’s optimal replenishment policy is a stationary base-stock policy. Through a numerical study, we found that the cost increase due to supply uncertainty is significant and that the costs increase more rapidly as supply uncertainty increases. We also identified the effects of various system parameters. One of the interesting results is that as retailer’s demand uncertainty, the other uncertainty in our model, increases, the cost increase due to supply uncertainty becomes less significant.

• Land and Housing Review
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• v.11 no.4
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• pp.35-50
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• 2020

The purpose of this study is to examine which factors are important in determining the amount of the apartment supply in Changwon City. Additionally, this study is to examine the changes in the determination of the amount of apartment supply in Changwon by dividing it into before and after 2016 as the city showed a large difference in apartment supply that caused structural changes during this time period. This study shows that the increase in the number of housing construction permits in Changwon before 2016 had a negative impact on the housing market as well as causing a decrease in the supply of apartments in Changwon after 2016. As a result of the shortsighted predictions on the housing market of Changwon from before 2016, it still affects the current housing market as of June 2020. The implication of this study is that through the housing market system of Changwon City, they can take the role as a control tower in Changwon City and propose principles and standards for supply control in order to better predict the demand of the housing market.