• Journal of Korean Society of Water and Wastewater
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• v.28 no.4
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• pp.377-389
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• 2014

In recent years, Smart Water Grid (SWG) concept has globally emerged over the last decade and also gained significant recognition in South Korea. Especially, there has been growing interest in water demand forecast and this has led to various studies regarding energy saving and improvement of water supply reliability. In this regard, this study aims to develop a nonlinear ensemble model for hourly water demand forecasting which allow us to estimate uncertainties across different model classes. The concepts was demonstrated through application to observed from water plant (A) in the South Korea. Various statistics (e.g. the efficiency coefficient, the correlation coefficient, the root mean square error, and a maximum error rate) were evaluated to investigate model efficiency. The ensemble based model with an cross-validate prediction procedure showed better predictability for water demand forecasting at different temporal resolutions. In particular, the performance of the ensemble model on hourly water demand data showed promising results against other individual prediction schemes.

• Water for future
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• v.16 no.2
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• pp.111-122
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• 1983

The water demand has been rapidly increased by the growth of population, industrialization, unbanization, water pollution and so on. This study carried out the seasonal pre-reserved planning for the five zones, comparing the water demand with the available water resources up to the goal year, 2001. The results of this study are as follows; 1) It is principle that the monthly water demand is supplied by the surface and ground water as the increasing tendency of it, and the deficit of water is supplemented by the water supplying capacity of dam. And water demand should be completely reserved before supplying the deficit of water. 2) The monthly and seasonal maximum deficit of water demand take place in June and summer. 3) The periods when the deficit of water demand exceeds the water supplying capacity of dam are 1984-1990, 1994-2001 in zone III. 4) To reserve the deficit of water demand in zone III, we would like to pre-construct Masan-Keumbo estuary barrage from 2001 to 1991 in Seomjin river basin, the deficit of water demand is supplied by the diversion of water from Yeongsan river basin with the developments of the ground water and small reservoirs until 1986.

• Proceedings of the KIEE Conference
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• 1999.07b
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• pp.646-648
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• 1999

Kalman Filter model of demand for residental water and consumption pattern were tested for their ability to explain the hourly residental demand for water in metropolitan distribution system. The hourly residental demand for water is calculated from the daily residental demand and consumption pattern. The consumption pattern which has 24 time rates is characterized by data granulization in accordance with season kind, weather and holiday. The proposed approach is applied to water distribution system of metropolitan areas in Korea and its effectiveness is checked.

• Journal of Korean Society on Water Environment
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• v.25 no.5
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• pp.661-666
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• 2009

In this study, total organic carbon (TOC) and potassium permanganate ($KMnO_4$) demand were examined for raw and finished tap water and the range of $KMnO_4$ demand in drinking water was investigated. By analyzing the relationship between TOC and $KMnO_4$ demand, the applicability of TOC as a drinking water standard and its regulation level was proposed. The average $KMnO_4$ demand was 1.3 mg/L in 4,638 samples from finished drinking water, tap water and finished water from small facilities. $KMnO_4$ demand of 95% of samples was 2.9 mg/L which was 29% of the drinking water standard (10 mg/L). At 12 major drinking water treatment plants, the average $KMnO_4$ demand in July and August was 8.1 and 2.4 mg/L for raw and finished water, respectively. TOC in July and August was 2.0 and 1.15 mg/L for raw and finished water, respectively. The correlation coefficient between $KMnO_4$ demand and TOC was as high as 0.8 in both raw and finished water and $KMnO_4$ demand was twice of TOC in finished water. Because the correlation coefficient and ratio between $KMnO_4$ demand and TOC varied according to season and the characteristics of raw water, it would be difficult to establish TOC standard just from the ratio of $KMnO_4$ demand to TOC. However, it is possible to set the TOC range based on the accumulated $KMnO_4$ demand data or from the satisfactory correlation results. Then, it would be reasonable to establish TOC standard level as 4 ~ 5 mg/L.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2005.10a
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• pp.294-299
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• 2005

The agricultural water demand that is calculated in present is difference with practical one by various situations in field. And, by various change, agricultural water demand can not estimate by agricultural land area simply. Considering various situations in field, calculated practical agricultural water demand and applied it to Korea Water Evaluation And Planing System (K-WEAP) in this study. The studied area is Seongju. The studied results showed that agricultural water demand calculate about 5.8 percent higher than existing one, and the agricultural water demand that is applied to K-WEAP calculate about $4{\sim}5.5$ percent higher. Total Agricultural water demand increased about 0.5 percent until 2011.

• Environmental and Resource Economics Review
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• v.16 no.4
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• pp.781-802
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• 2007

This study estimates a demand function for municipal water in Seoul area using a Stone-Geary functional form. The Stone-Geary model offers more precise estimates for price elasticity of water demand since it explicitly separates 'basic demand' which is not influenced by the price from 'economic demand' which depends on the price. Our results show that about 84% of the total water demand is the basic demand. The results suggest that the minimum consumption range m stepwise price system should be lowered from $30m^3$ to $15m^3$ per month.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.144-144
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• 2021

The rapid urbanization in many Asian countries has taken millions of people from the rural countryside to concentrated megacities, which eventually putting pressure on the existing water resources. The over-growing population and increasing living standard of people in the urban region of developed as well as developing countries such as Korea, China, Japan and India have witnessed a drastic change in terms of domestic water demand for the past few decades. In this study, we used the concept of potential surface water availability in the form of surface runoff for future vulnerability assessment. We focused on 42 megacities having population more than 5 million as per the United Nations (UN) census data 2020. The study shows that 30 out of 42 cities having more than 180L/p/d demand for domestic use based on various references. We have predicted the domestic water demand for all the cities on the basis of current per capita demand up to 2035 using UN projected population data. We found that the projected water demand in megacities such as Seoul, Busan, Shanghai, Ghuanzou are increasing because of high population as well as GDP growth rate. On the contrary, megacities of Japan considered in our stud shows less water demand in future due to decreasing trend of population. As per the past records provided by the local municipalities/authorities, we projected different scenarios based on the future supply for various megacities such as Chennai, Delhi, Karachi, Mumbai, Shanghai, Wuhan, etc. We found that the supply to demand ratio of these cities would be below 75% for future period and if such trend continues then the inhabitants will face serious water stress conditions. Outcomes of this study would help the local policy makers to adopt sustainable initiatives on urban water governance to avoid the severe water stress conditions in the vulnerable megacities.

• 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.

• Journal of Korean Society of Water and Wastewater
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• v.25 no.4
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• pp.581-589
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• 2011

Generally, treated water or raw water is transported into storage reservoirs which are receiving facilities of local governments from multi-regional water supply systems. A water supply control and operation center is operated not only to manage the water facilities more economically and efficiently but also to mitigate the shortage of water resources due to the increase in water consumption. To achieve the goal, important information such as the flow-rate in the systems, water levels of storage reservoirs or tanks, and pump-operation schedule should be considered based on the resonable water demand forecasting. However, it is difficult to acquire the pattern of water demand used in local government, since the operating information is not shared between multi-regional and local water systems. The pattern of water demand is irregular and unpredictable. Also, additional changes such as an abrupt accident and frequent changes of electric power rates could occur. Consequently, it is not easy to forecast accurate water demands. Therefore, it is necessary to introduce a short-term water demands forecasting and to develop an application of the forecasting models. In this study, the forecasting simulator for water demand is developed based on mathematical and neural network methods as linear and non-linear models to implement the optimal water demands forecasting. It is shown that MLP(Multi-Layered Perceptron) and ANFIS(Adaptive Neuro-Fuzzy Inference System) can be applied to obtain better forecasting results in multi-regional water supply systems with a large scale and local water supply systems with small or medium scale than conventional methods, respectively.

• Journal of The Korean Society of Agricultural Engineers
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• v.54 no.5
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• pp.123-128
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• 2012

For optimal reservoir operation and management, there are essential elements including water supply in agricultural reservoir and demand in irrigation district. To estimate agricultural water demand and supply, many factors such as weather, crops, soil, growing conditions cultivation method and the watershed/irrigation area should be considered, however, there are occurred water supply impossible duration under the influence of the variability and uncertainty of meteorological and hydrological phenomenon. Focusing on agricultural reservoir, amount and tendency of agricultural water supply and demand shows seasonally/regionally different patterns. Through the analysis of deviation and changes in the timing of the two elements, duration in excess of water supply can be identified quantitatively. Here, we introduce an approach to assessment of irrigation vulnerable duration for effective management of agricultural reservoir using time dependent change analysis of residual water supply and irrigation water requirements. Irrigation vulnerable duration has been determined through the comparison of water supply in agricultural reservoir and demand in irrigation district based on the water budget analysis, therefore can be used as an improved and basis data for the effective and intensive water management.