• Journal of Korean Society of Water and Wastewater
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• v.31 no.5
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• pp.447-457
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• 2017

This study derived the unit of industrial water usage reflecting the latest industry trends. Available for establishing plans such as the master plan for water supply system and analyzed changes in the basic unit by a comparison with the current basic unit values. This study analyzed 4,038 samples with a sampling error of less than 1.5 % at the 95 % confidence level after removing outliers according to a log-normal distribution. As a result, the unit of industrial water usage per site area in the whole manufacturing industry was 7.11 m3/1,000m2/d. The ten industrial categories (C10, C13, C20, C21, C22, C25, C27, C30, C32, C33) showed a similar unit value compared to before, and the four industrials categories (C11, C17, C22, C31) showed a more unit value than before. With regard to the nine industrial categories (C14, C15, C16, C18, C19, C24, C26, C28, C29), the unit value decreased. Cases that companies examined before were the same as the companies examined in this study were analyzed. The result that the changes in the unit industrial water usage were reasonable was obtained. However, in some industrial categories (C17, C14, C24, C29), the unit value was changed by a small number of companies with large-scale water use or unit value of sampling had a large deviation. It was considered necessary to survey them periodically. The unit of industrial water usage derived by the survey in this study reflects the current industrial trends in 2016. Water use in manufacturing companies has continuously changed by the development of manufacturing technologies and simplification of manufacturing processes. In order to deal with this, it is considered necessary to survey the usage of industrial water periodically from a long-term perspective.

• Journal of Environmental Policy
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• v.8 no.4
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• pp.37-49
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• 2009

While water management policies in Korea have focused on industrial water demand during the last decade, the amount of industrial water usage has decreased significantly. This paper estimates the technical efficiency of industrial water in order to test whether the reduction of industrial water usage is a result of improving the level of technical efficiency of industrial water. This paper shows that the technical efficiency of industrial water use slightly decreased from 0.5183 in 1998 to 0.4853 in 2003. In addition, these estimates are much less than those of other inputs and so, there is still much room for reducing the amount of industrial water use through improving technical efficiency even though the average productivity of industrial water has improved during this period.

• Journal of Korea Water Resources Association
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• v.40 no.11
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• pp.869-876
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• 2007

This paper estimates the output and price elasticities of disaggregated industrial water in order to afford some information for improving the efficiency of government water policy. This paper uses the marginal productivity method for estimating the output and price elasticities of industrial water. The estimated output elasticity shows that the value of industrial water is much higher than the average price of industrial water and the estimated price elasticity shows that the water pricing policy is effective for controlling the demand of industrial water.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.11
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• pp.1165-1173
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• 2008

An water-reuse network design has drawn attention as a systematic method of reducing fresh water usage and increasing water-using efficiency. The final goal of an eco-industrial park(EIP) is accomplishing industrial sustainability and constructing water-reuse network can be a solution. When designing water-reuse network connecting various processes which consume water, the water pinch technology can be used frequently, since it simultaneously minimize freshwater usage and wastewater discharge. In this research water pinch technology is applied to develop an effective water-reuse network in an EIP. Three scenarios based on different reusing strategies were developed. The results show that the final water-reuse network can reduce the total fresh water usage more than 30%, while the water expenses decrease by 20%. It can be concluded that water pinch technology is an effective tool to optimize water-reuse network among different industrial facilities.

• Journal of Korean Society of Water and Wastewater
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• v.30 no.3
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• pp.225-231
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• 2016

Peak load rate(i.e., maximum daily flow/average daily flow) has not been considered for industrial water demand planning in Korea to date, while area unit method based on average daily flow has been applied to decide capacity of industrial water treatment plants(WTPs). Designers of industrial WTPs has assumed that peak load would not exist if operation rate of factories in industrial sites were close to 100%. However, peak load rates were calculated as 1.10~2.53 based on daily water flow from 2009 to 2014 for 9 industrial WTPs which have been operated more than 9 years(9-38 years). Furthermore, average operation rates of 9 industrial WTPs was less than 70% which means current area unit method has tendency to overestimate water demand. Therefore, it is not reasonable to consider peak load for the calculation of water demand under current area unit method application to prevent overestimation. However, for the precise future industrial water demand calculation more precise data gathering for average daily flow and consideration of peak load rate are recommended.

• Environmental and Resource Economics Review
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• v.14 no.2
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• pp.475-491
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• 2005

This study reviews various problems associated with the method of estimating the demand for industrial water that was employed in the Water Vision 2020 and it suggests an alternative econometric method. Comparing with the data cited in the Report on Industrial Census, estimates obtained by employing the concept of demand function are more exact compared to those offered by the Water Vision 2020. The amount of industrial water in 1998 was estimated at 2.8 billion tons decreasing by 2003. By employing the concept of demand function, this study shows that the amount of industrial water was 2.1 billion tons in 2003 while according to the Water Vision 2020 it amounted to 3.3 billion tons in 2001. Thus, it appears that the amount of industrial water in the Water Vision 2020 has been overestimated. This study also shows that the industrial water demand can be controlled by means of certain pricing policies. Finally, we argue that the demand for industrial water should be estimated by taking account of economic variables such as water price and output.

• Proceedings of the Korea Water Resources Association Conference
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• 2001.05a
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• pp.67-75
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• 2001

Anticipated water scarcity in the first half of this century is one of the most concerned international issues. However, even though the issue has an international impact and world wide monitoring is critical, there are limited number of global estimates at present. In this study, annual water availability was derived from annual runoff estimated by land surface models using Total Runoff Integrating Pathways (TRIP) with 0.5 degree by 0.5 degree longitude/latitude resolution globally. Global distribution of water withdrawal for each sector in the same horizontal spatial resolution was estimated based on country-base statistics of municipal water use, industrial water use, and agricultural intake, using global geographical information system with global distributions of population and irrigated crop land area. The total population under water stress estimated for 1995 corresponded very well with former estimates, however, the number is highly depend on how to assume the ratio how much water from outside of the region can be used for water resources within the region. It suggests the importance of regional studies evaluating the possibility of water intake as well as the validity of the investment for water resources withdrawal facilities.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.156-156
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• 2022

Explicitly spatially distributed and reliable data on industrial water demand is very much important for both policy makers and researchers in order to carry a region-specific analysis of water resources management. However, such type of data remains scarce particularly in underdeveloped and developing countries. Current research is limited in using different spatially available socio-economic, climate data and geographical data from different sources in accordance to predict industrial water demand at finer resolution. This study proposes a random forest regression (RFR) model to predict the industrial water demand at 0.50× 0.50 spatial resolution by combining various features extracted from multiple data sources. The dataset used here include National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL), Global Power Plant database, AQUASTAT country-wise industrial water use data, Elevation data, Gross Domestic Product (GDP), Road density, Crop land, Population, Precipitation, Temperature, and Aridity. Compared with traditional regression algorithms, RF shows the advantages of high prediction accuracy, not requiring assumptions of a prior probability distribution, and the capacity to analyses variable importance. The final RF model was fitted using the parameter settings of ntree = 300 and mtry = 2. As a result, determinate coefficients value of 0.547 is achieved. The variable importance of the independent variables e.g. night light data, elevation data, GDP and population data used in the training purpose of RF model plays the major role in predicting the industrial water demand.

• Journal of Korean Society of Disaster and Security
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• v.15 no.2
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• pp.27-36
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• 2022

The adequacy of industrial water supply is one of the core elements of the construction of industrial complexes. This study examined the supply of industrial water through various ways, according to the planning and creation of industrial complexes and the operating utilization rate of tenant companies oksan industrial complex. As for calculating the supply of industrial water and establishing water supply plan, the basic data analysis and the land use plan are utilised. The adequacy of calculating the basic unit by industry, which is the basis for calculating industrial water, was evaluated. In addition, analyzed industrial water usage data and the raw unit of each industry was compared with the actual data from the Oksan Industrial Complex, which selected as the research target area among the industrial complexes in Cheongju-si administrative districts, where actual data can be secured. The result of the study shows that the peak load rate of industrial water was found to have the peak load of more than twice as the result of analyzing the actual usage, and the basic unit of industrial water industry showed a significant difference from the actual usage. In particular, the decreasing rate of the basic units was significant comparing the increasing rate of basic units. In addition, the raw unit of the industry that uses more water decreased significantly, and the raw unit of the industry that uses less water increased slightly.

• Journal of the Korean Society of Industry Convergence
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• v.23 no.1
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• pp.17-24
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• 2020

This study analyzes economic feasibility by looking at the case of wastewater reclamation and reuse system of Osan, the only place currently operated in Korea, exploiting wastewater uniquely reused as industrial water. Furthermore, this paper examines the problem in wastewater recycling and present the method to expand the potential of using reclaimed water. Method to activate the reuse of wastewater as industrial water. First, it is required to provide self-governing body and demander with diverse information on this project so that they correctly recognize the reuse of wastewater as industrial water. Second, law should be amended so that the water quality requirement of reused water can be given in the national level to supply industrial water depending on right standard. Third, financial support should be expanded in diverse parts so that more private investment advantageous to investor can be made, for instance, BTL, BTO.