• 제목/요약/키워드: Industrial water demand

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Prediction of Global Industrial Water Demand using Machine Learning

  • Panda, Manas Ranjan;Kim, Yeonjoo
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2022년도 학술발표회
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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.

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공업용수 수요량 추정과 가격현실화 정책 효과 분석 (Estimating the Demand for Industrial Water and the Pricing Policy)

  • 민동기
    • 자원ㆍ환경경제연구
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    • 제14권2호
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    • pp.475-491
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    • 2005
  • 공업용수 수요량 예측방법으로 현재 사용되고 있는 부지면적원단위법의 문제점을 분석하고 이에 대한 대안으로 수요함수를 이용하는 방법을 분석한다. 실제 조사 자료인 산업 총조사보고서의 자료와 비교하면 최근의 공업용수 수요량은 부지면적 원단법의 수요량 예측치보다는 본 연구에서 사용한 수요함수를 이용하여 추정한 수요량 예측치가 훨씬 더 정확하게 추정되었음을 보여준다. 그리고 가격 변화에 따른 수요량 변화 효과가 상당함을 보이고 있으므로 공업용수 수요량 관리를 위한 가격정책의 유효성을 보여준다. 따라서 향후 공업용수 수요량 추정에서는 부지면적원단위법보다는 용수 가격 및 산출량 등 경제적인 변수를 고려한 수요함수를 이용하는 것이 바람직하다.

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공업용수 정수장 설계시 첨두부하 적용방안 (Application of peak load for industrial water treatment plant design)

  • 김진근;이희남;김두일;구자용;현인환
    • 상하수도학회지
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    • 제30권3호
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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.

아산호(牙山湖)에서 대호호(大湖湖) 연안(沿岸)의 담수호(淡水湖) 연결(連結)에 의한 효율적(效率的)인 수자원(水資源) 이용방안(利用方案) (Efficient Utilization of Water Resources Linking The Estuary Reservoirs in Asan-Dae Ho Area of Korea)

  • 최한규;구본수;이성홍
    • 산업기술연구
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    • 제18권
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    • pp.425-430
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    • 1998
  • The Asan Bay area Korea is situated in an unbalance or water supply and demand relating to the Ansung, Sapkyo, Dangjin and Youmwha rivers and their estuary reservoirs. The multi-reservoir operation was studied by the Hierarchical Operation Model for Multi-reservoir System(HOMMS) assuming that these four estuary reservoirs were linked to each other in order. The result of this study shows that storage capacity deficiency in 2011 was estimated as 8 MCM in the Sapkyo and 31 MCMin Dae Ho estuary reservoir, respectively. In case of linking four reservoirs, the water deficiency will not occurs in all the reservoirs even if additional agricultural water of 78 MCM/yr was supplied. Total additional water demand for agricultural, municipal and industrial uses was estimated as 321.9 MCM/yr while additional supply by linking the reservoirs was estimated as 160.4 MCM/yr. 50% of additional demand. The remaining 161.5MCM/yr would be supplied transferring other watershed.

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한국지역난방공사의 겨울철 열수요 예측을 위한 선형회귀모형 개발 (Forecasting of Heat Demand in Winter Using Linear Regresson Models for Korea District Heating Corporation)

  • 백종관;한정희
    • 한국산학기술학회논문지
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    • 제12권3호
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    • pp.1488-1494
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    • 2011
  • 본 연구에서는 선형회귀모형(linear regression model)을 이용하여 겨울철 일일 온수 수요 총량을 예측하는 알고리즘을 개발한다. 한국지역난방공사에서는 온수 공급 계약을 맺고 있는 아파트, 상가 및 사무용 빌딩 등에 난방 및 급탕 온수를 공급한다. 일반적으로 온수는 보일러 및 열병합 발전기를 가동하여 생산하며, 경제적인 온수 생산계획을 수립하기 위해서는 온수 수요를 정확히 파악하는 것이 중요하다. 따라서, 본 연구에서는 난방을 위한 온수 수요가 급증하는 겨울철 온수 수요의 특성을 분석하고, 선형회귀모형을 이용한 온수 수요 예측 알고리즘을 개발한다. 겨울철 일일 온수 수요는 외기온도의 영향을 많이 받는 것으로 알려져 있으나, 본 연구에서는 외기온도와 예측일 하루 전날 온수 공급 실적값을 동시에 고려할 때 예측 정확도를 크게 높일 수 있음을 확인하였다. 본 연구에서 개발하는 예측 알고리즘의 타당성을 검증하기 위해 한국지역난방공사 서울 강남지사의 2006 ~ 2009년도 온수 수요 공급 실적과 기상청의 기상정보를 이용하여 겨울철 일일 온수 수요 총량을 예측한 결과, 평균 오차율(mean absolute percentage error)이 3.87%을 넘지 않는 수준임을 확인하였다.

汚濁河川水의 地球化學的인 硏究 (第 II 報) 서울市內 河川水 및 工場排水의 化學的 酸素要求量 (Geochemical Investigations of Contaminated River Waters Part II-Chemical Oxygen Demand of River Water and Industrial Waste Water in Seoul)

  • 이용근
    • 대한화학회지
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    • 제14권1호
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    • pp.5-12
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    • 1970
  • River water and industrial waste water in Seoul were studied by means of chemical oxygen demand(COD) as an indicator for water pollution, from August 1967 to July 1968. Rivers flowing through residential and industrial areas are badly contaminated and COD of water in Han River increases as it progresses to downstream. Seasonal variation of COD showed that higher value of COD was observed in spring and lower in autumn. It is clear that the seasonal variation of COD is influenced by the precipitation. Close relationship was found between COD and population density. The lowest COD curve obtained by plotting COD values against population density and show that the curve slopes upward. The discontinuation of the curve was shown at the population density of 14,000/km$^2$; an increase in COD was acute over the population density of 14,000/km$^2$.

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하구둑의 일 물수지 모형 개발 (Development of Model for Simulating Daily Water Storage in Estuary Barrage Dam)

  • 노재경;이향식;진용신
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2003년도 학술발표논문집
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    • pp.495-498
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    • 2003
  • In order to analyze water supply capacity in estuary barrage dam, a system was developed in which base model was consisted of daily water balance model and daily inflow model. Agricultural water demand to paddy fields and domestic and industrial water demand were considered in this daily water balance model. Also outflow volume through sluice gate and inside water level at time to start outflow was conditioned initially to simulate reservoir storage. The DAWAST model was selected to simulate daily reservoir inflow in which return flows from agricultural, domestic and industrial water were included to simulate runoff. Using this developed system, water supply capacity in the Keum river estuary reservoir was analyzed.

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업종별 공업용수의 한계생산가치 및 가격탄력성 추정 연구 (The Study on the Marginal Product Value and Price Elasticity of Disaggregated Industrial Water)

  • 민동기
    • 한국수자원학회논문집
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    • 제40권11호
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    • pp.869-876
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    • 2007
  • 본 연구는 수자원정책의 효율성 제고를 위한 판단 자료 제공을 목적으로 업종별 공업용수의 한계생산가치 및 공업용수의 가격탄력성을 추정하였다. 두 가지 형태의 생산함수를 설정하여 추정한 공업용수의 한계가치 및 가격탄력성을 추정 결과를 보면 공업용수의 한계가치는 산업별로 차이가 있으나 공업용수의 평균 가격에 비하여 매우 큰 것으로 추정되었으며 가격탄력성 추정결과는 가격 현실화 정책 효과가 있음을 보여주고 있다.

Exploring Effects of Water Price on Residential Water Demand for Water Management

  • SEO, Giwon;CHO, Yooncheong
    • 산경연구논집
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    • 제11권10호
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    • pp.39-48
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    • 2020
  • Purpose: Management of water is a crucial issue globally and is becoming more critical due to climate change. The purpose of this study is to explore water resource management by considering price and water usage based on river basins and to suggest more efficient residential water demand management in South Korea. Research Design, data, and methodology: This study applied data of water usage and water price of 15 regions in four major river basins by considering up and downstream locations from 1997 to 2017 collected by Ministry of Environment in Korea. This study applied regression analyses, ANOVA, and 2-Way ANOVA to verify its claims. Results: The results found that effects of price on water usage showed significant in many cities. The results also showed that means of water usages differ based on location (upstream and downstream) and river basins. Conclusion: The findings provide important policy and management implications for the improvement of water resource management in terms of demand. The results also indicate that water price should be reconsidered by comparing water price levels with those of OECD countries. Furthermore, the results imply that water management in Korea needs to improve in terms of supply to cope with climate change.

Rural Water Supply from the Irrigation Reservoir

  • 김대철;박성기
    • 한국농공학회지
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    • 제37권E호
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    • pp.47-54
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    • 1995
  • Irrigation water has been mainly used for paddy rice. Irrigated paddy land tends to be recently converted to land for green house, farm house, and rural-industrial complex. Consequently, demand of water for crops, domestic & industrial, rural recreations, small-scaled hydropower, livestocks, and environment in the rural area, so called rural water, is rapidly increasing. In order to supply rural water, water in the existing irrigation reservoir could be enlarged by repairment of irrigation canal and reinforcement of irrigation reservoir, and be saved by the operation rule curve, utilization of dead water, and balanced storage management.

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