• Journal of Korea Water Resources Association
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• v.30 no.1
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• pp.45-54
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• 1997

The correct estimation of the daily or hourly urban water demand is required for the efficient management and operation of the water supply facilities. The prediction of water supply demand are regression model and time series method, the optimum ARIMA (Auto Regressive Integrated Moving Average) model was sought for the daily urban water demand estimation in this paper. The data used for this study were obtained from the city of Kwangju Korea. The raw data used in this study were rearranged 15, 30, 60, 90 days for the purpose of analysis. The statistical analysis was applied to the data to obtain the ARIMA model. As a result, the parameters determining the ARIMA model was obtained. The accuracy of the model was 2% of water supply. The developed model was found to be useful for the practical operation and management of the water supply facilities.

• Journal of Korea Water Resources Association
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• v.31 no.6
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• pp.821-832
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• 1998

This study investigates the prediction of daily water supply, which is a necessary for the efficient management of water distribution system. Fuzzy neuron, 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 adaptive learning method by which a membership function and fuzzy rules were adapted for daily water supply prediction. This study was investigated methods for predicting water supply based on data about the amount of water supplied to the city of Kwangju. 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 supplied (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 18.35% 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.

• Water for future
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• v.27 no.4
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• pp.135-143
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• 1994

The purpose of this study was to improve the understanding of the characteristics of the daily urban water use. The city of Kwangju in Korea was selected as a study area. The population of Kwangju in the end of 1993 was more than one million and two hundred thousand peoples. The average of daily water use in 1993 was about three hundred and fifty thousand tons a day. The variation of the urban water demand trend with time for a day was studied. One day was devided into 12 divisions with a 2hour increment. The water use demand for the given time interval of a day was observed. The water use index was defind in percentage that indicates the ratio of the amount of water use for a time interval to the amount of water use for a day. The water use index was found to be useful to manage and to operate the water supply systems. In addition to this, the probability distribution of the water use demand for each time interval was tested using the K-S(Komogorov-Smirnov) method. The normal distribution type was found to be appropriate as the probability distribution type for the variation of water demand for the given time interval of a day.

• Water for future
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• v.28 no.6
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• pp.147-158
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• 1995

The purpose of this study is to establish a method of estimating the daily urban water demand using statistical model. This method will be used for the development of the efficient management and operation of the water supply facilities. The data used were the daily urban water use, the population, the year lapse and the weather conditions such as temperature, precipitation, relative humidity, etc. Kwangju city was selected for the case study area. The raw data used in this study were rearranged either by month or by season for the purpose of analysis, and the statistical analysis was applied to the data to obtain the regression model. As a result, the multiple linear regression model was developed to estimate the daily urban water use based on the seather condition. The regression constant and the model coefficients were determined for each month of a year. The accuracy of the model was within 3% of average error and within 10% of maximum error. The developed model was found to be useful to the practical operation and management of the water supply facilities.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.471-471
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• 2021

비상급수시설은 상수도 공급이 중단될 경우에 국민들에게 최소한의 음용수와 생활용수를 안정적으로 공급하기 위한 시설이다. 2018년 기준으로 상수도 보급을 통한 국내 1인 1일 급수량은 평균 348리터로 나타났지만, 국내 민방위 비상급수시설의 급수소요량은 성인 기준 1명당 25리터를 기준으로 하고 있다. 이것은 식수 9리터와 생활용수 16리터를 포함한 값이다. 그러나 왜 식수 기준을 9리터로 했는지, 생활용수 16리터로 쓸 수 있는 물 사용의 범위가 어디까지인지에 대한 구체적인 내용은 명확하지 않은 실태이다. 본 연구는 국내 민방위 비상급수시설의 급수소요량 기준을 검토하기 위한 것으로 UN, WHO, 유럽, 미국 등의 비상급수와 관련되 음용수 및 생활용수 기준을 수집하고 이를 비교 검토하였다. 그 결과 국내 민방위 비상급수시설의 급수소요량 기준이 선진국보다 적게 산정되어 있음을 알 수 있었으며, 포로수용소의 지속가능 급수지원 기준량보다도 낮은 것을 알 수 있었다. 본 연구에서는 문헌조사를 토대로 음용수, 요리, 세면, 세탁 등을 포함하여 지속가능한 적정 급수소요량 기준을 최소 50리터 이상으로 제안하였다. 한국의 경제력과 국민들의 복지를 고려할 때, 향후 민방위 비상급수시설의 급수소요량 기준을 현재보다 상향 조정하는 것이 타당함을 알 수 있었다.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.11
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• pp.797-803
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• 2011

In this study, we developed the assessment method that evaluate the water demand management and calculate the water saving volume using water use indicator, and developed the system to link the water saving volume that occur through demand management and water supply and demand. The results from this study, local governments with poor water conditions should be followed to improve the water supply. And, future water demand estimates should be even considering it. We calculated the water saving volume of the Geum River basin using K-WEAP (Korea-Water Evaluation And Planning System) and performed the water budget analysis. We found that the change of river flow, ground water level and reservoir water level, and it can be utilized for other demand.

• Proceedings of the Korea Water Resources Association Conference
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• 1999.05a
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• pp.725-730
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• 1999

• Journal of Korean Society of Water and Wastewater
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• v.34 no.5
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• pp.335-344
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• 2020

Due to global climate change, mega-droughts have occurred frequently. Since long-term droughts make it difficult to secure the water resources, water supply needs to be restricted in a reasonable manner. In the event of limited water supply, the waterworks need to develop a restricted water supply strategy. This study showed that analyzing daily water supply could be used to respond to the first stage of a drought. According to an analysis of Korea's major water authorities, there was about 7~21% of room for daily minimum water supply in case of a drought. Restricting the water supply by lowering pressure is a good strategy for local water authorities with high water leakage rate since leakage is inversely dependent with pressure. For this method, it is necessary to quantify water deficiency and pressure at each node using a simulation. Since DDA-based software is not possible to predict changes in demand at nodes with pressure reduction, WaterGEMS, a PDA software, was used to quantitatively predict water shortages and pressures at each node. Locations where water is deficient need to install booster pumps or to be dispatched with water tank truck and bottled water. Without these support, lowering pressure could not be an option for water works. This paper suggests a method for waterworks to plan a drought by lowering pressure to restrict water supply using daily water supply analysis and PDA based simulation.

• Magazine of the Korean Society of Agricultural Engineers
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• v.40 no.1
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• pp.68-77
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• 1998

The purpose of this paper is to establish a method estimating the daily urban water demand using statistical analysis that is used for developing the efficient management and operation of the water supply facilities, and accurary of the model is verified by error rate and F-value. The data used in this study were the daily urban water use, the weather conditions such as temperature, precipitation, relative humidity, etc, and the day of The week. The case study was taken placed for the city of Namwon in Korea. The raw data used in this study were rearranged either by month or by season for analysis purpose, and the statistical analysis was applied to the data to obtain the regression model As a result of this study, the linear regression model was developed to estimate the daily urban water use with weather condition. The regression constant and coefficients of the model were determined for each month of a year. The accuracy of the model was within 3% of average error and within 11% of maximum error. The resulting model was found to he useful to the practical operation and management of the water supply facilities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.4
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• pp.2924-2932
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• 2015

This study is for estimate the amount of water supplied data to get a database for economic plan of water supply system by survey for the amount of water supplied of primary, middle and highschool. For this, 54 of primary school, middle school, high school in 6 cities of Kangwon for 5 years. As a result, average of the amount of water supplied per month is $600.7m^3/mon$ and primary, middle schools are $484.2m^3/mon$ and high schools are $833.8m^3/mon$. Average of the amount of water supplied per class is $27.0m^3/mon/class$ and primary, middle schools are $24.4m^3/mon/class$ and high schools are $32m^3/mon/class$. Average of the amount of water supplied per person per day is 55.8l/c/d and primary school, middle schools are 54.4l/c/d and high schools are 58.6l/c/d.