• Title/Summary/Keyword: Water demand by use

Search Result 263, Processing Time 0.033 seconds

A study on the prediction of the generation of domestic sewage by improvement of water demand estimation (생활용수 수요추정방법 개선에 의한 하수발생량 예측에 관한 연구)

  • 김재윤
    • Journal of Environmental Science International
    • /
    • v.11 no.12
    • /
    • pp.1275-1279
    • /
    • 2002
  • This study was performed to improve water demand estimation and analize correlation between generation of domestic sewage and domestic water use. To improve the prediction of water demand estimation, new water demand equation was developed. The results is as follows. $InQ_t = {\beta}_0+{\beta}_1InP_t+{\beta}_2InY_t+{\beta}_3InH_t+{varepsilon}_t$By using the statistical analysis of the "generation of domestic sewage" and "domestic water use", the regression equation between them is formed. The result is as follows. Generation of domestic sewage : 0.8487 $\times$ Domestic water use + 684.57 ($R^2$= 0.972)>$R^2$= 0.972)

Estimation of Regional Future Agricultural Water Demand in Jeju Island Considering Land Use Change (토지이용 변화를 고려한 제주도 권역별 미래 농업용수 수요량 추정)

  • Song, Sung-Ho;Myoung, Woo-Ho;An, Jung-Gi;Jang, Jung-Seok;Baek, Jin-Hee;Jung, Cha-Youn
    • Journal of Soil and Groundwater Environment
    • /
    • v.23 no.1
    • /
    • pp.92-105
    • /
    • 2018
  • In this study, the projected land use area in 2030 for major crop production was estimated in Jeju Island using land cover map, and corresponding agricultural water demand for 40 sub-regions was quantitatively assessed using the future climate change scenario (RCP 4.5). Estimated basic unit of water demand in 2030 was the highest in the western region, and the lowest in the eastern region. Monthly maximum agricultural water demand analysis revealed that water demand in August of 2030 substantially increased, suggesting the climate of Jeju Island is changing to a subtropical climate in 2030. Agricultural water demand for sub-region in 2030 was calculated by multiplying the target area of the water supply excluding the area not in use in winter season by the basic unit of water demand, and the maximum and minimum values were estimated to be $306,626m^3/day$ at Seogwipo downtown region and $77,967m^3/day$ at Hallim region, respectively. Consequently, total agricultural water demand in Jeju Island in 2030 was estimated to be $1,848,010m^3/day$.

Market Evaluation of Seawater Desalination Plant considering International Water Scarcity and Expense Outlook by Use and Nation (해외 물 기근 현황과 용도별.국가별 자본지출 전망을 고려한 해수담수화 플랜트 시장성 평가)

  • Yang, Jeong-Seok;Sohn, Jinsik;Kang, Dae-Su
    • Journal of Korean Society on Water Environment
    • /
    • v.27 no.2
    • /
    • pp.178-187
    • /
    • 2011
  • National water supply, water resources available, the ratio of water supply to total water resources, and the ratio of water supply to available water resources were investigated to find global seawater desalination plant market for 163 nations. Water resources available per capita from 2007 to 2016, population in water scarcity region from 2011 to 2016, and the ratio of water scarcity population to total population were also analyzed for the countries. Annual percentage increase in total municipal drinking water capital expenditure and Annual percentage increase in total industrial water market were analyzed to predict the amount of water supply by use. 76 countries are suffering from water scarcity and 60 countries among the countries have coastal regions. Forty countries were selected by considering the considerable amount and highly increasing trend of water demand by use. Most countries show increasing trend of industrial water and 82 countries have more than 4% annual increasing rate for domestic water expense from 2008 to 2016 among 163 countries. Among the 76 water scarcity countries 16 countries were finally selected by considering expense prediction by use. Middle-east, east asia, pacific ocean, and west europe regions include most selected countries.

The Influence on the Runoff Characteristics by the Land Use in Small Watersheds (소유역의 토지이용이 유출 특성에 미치는 영향)

  • Choi, Ye-Hwan;Choi, Joong-Dae
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2004.05b
    • /
    • pp.204-208
    • /
    • 2004
  • In the forthcoming 21C, the barometer of cultural lives depends on that the water demand will increase or not. On the opposite site of that, the small watersheds will influence directly on how to cover the surface of watersheds with land use, no planning developing watersheds, and the rearrangement of small rivers. Espacially as the exordinary climatic phenomena, water resources and water content of the small watersheds will be confused oil exactly not to make a plan of water resources. This study area has four small watersheds groups in Gangwon-Do Province, that is, group I five small river watersheds including Changchoncheon etc., group II fiver rivers watersheds including to Hwalsanmogicheon etc., group III five small river watersheds including Singicheon etc., group IV including to Sabulanggolcheon etc. According to the land use such as dry field(or farm), ice field, forest land, building lot arid others, in small watersheds, the amount of runoff will be impacted by precipitation. The comparison between the runoff was getting from Kajiyama Formular and calculated runoff from multi-linear regressed equations by land use percentage was performed. Its correlation which was estimated by coefficient of correlation will be accepted or not, as approched 1.00000 values. As the monthly water resources amount is estimated by multi-linear regressed equations, we make a plan to demand and supply the water quantity from small river watersheds during any return periods.

  • PDF

Estimation of Regional Agricultural Water Demand over the Jeju Island (제주도 권역별 농업용수 수요량 산정에 대한 고찰)

  • Choi, Kwang-Jun;Song, Sung-Ho;Kim, Jin-Sung;Lim, Chan-Woo
    • Journal of Environmental Science International
    • /
    • v.22 no.5
    • /
    • pp.639-649
    • /
    • 2013
  • Over 96.2% of the agricultural water in Jeju Island is obtained from groundwater and there are quite distinct characteristics of agricultural water demand/supply spatially because of regional and seasonal differences in cropping system and rainfall amount. Land use for cultivating crops is expected to decrease 7.4% (4,215 ha) in 2020 compared to 2010, while market garden including various vegetable crop types having high water demand is increasing over the Island, especially western area having lower rainfall amount compared to southern area. On the other hand, land use for fruit including citrus and mandarin having low water demand is widely distributed over southern and northern part having higher rainfall amount. The agricultural water demand of $1,214{\times}10^3\;m^3/day$ in 2020 is estimated about 1.39 times compared to groundwater supply capacity of $874{\times}10^3\;m^3/day$ in 2010 with 42.4% of eastern, 103.1% of western, 61.9% of southern, and 77.0% of northern region. Moreover, net secured amount of agricultural groundwater would be expected to be much smaller due to regional disparity of water demand/supply, the lack of linkage system between the agricultural water supply facilities, and high percentage of private wells. Therefore, it is necessary to ensure the total net secured amount of agricultural groundwater to overcome the expected regional discrepancy of water demand and supply by establishing policy alternative of regional water supply plan over the Island, including linkage system between wells, water tank enlargement, private wells maintenance and public wells development, and continuous enlargement of rainwater utilization facilities.

Accounting for the Water Footprint Impact of Food Waste within Korean Households

  • Adelodun, Bashir;Kim, Sang Hyun;Choi, Kyung Sook
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2020.06a
    • /
    • pp.119-119
    • /
    • 2020
  • Globally, the demand for food and water resources are increasing rapidly with the growing concerns of meeting the projected population upsurge, specifically by 2050. The global population is projected to hit 9.8 billion in 2050 while the food demand is expected to increase by 77% from the 2007 base year. Moreover, the already scarce water resources, especially in the food-producing regions, expected to be significantly affected as food production already accounts for over 70% of the global water resources. However, the estimated food demand encapsulated the actual demand for both human consumption and animal feed in addition to the exuberant food waste at the consumption stage of the supply chain, notably in the developed countries. Managing the food consumption demand and food waste can have across-the-board benefits on water resources and other associated food production impacts. This study assessed the water-saving potentials through food waste in Korean households using the food waste data obtained from the direct weighing analysis. The household food waste collection and characterization were carried out during the summer (July), fall (September), and winter (December) seasons of 2019. The water footprint related to the food waste within Korean households was based on the water footprint concept, i.e. indirect water use. The results of our estimation showed that an average Korean household wasted 6.15 ± 4.36 kg daily, amounting to 12.53 ± 11.10 m3 of water resources associated with the waste. On the per capita basis, an average of 0.024 ± 0.017 kg/capita/day of food was wasted resulting to 0.049 ± 0.044 m3/capital/day of water resources wasted. The food waste types that accounted for the principal share in the water footprint were beef, soybean, rice and pork with values 30.7, 10.1, 9.6, and 7.5%, respectively. Considering that the production of meat and meat products are water intensive and the agricultural water use in Korea is largely for rice production, addressing the food waste of these two important agricultural products can be a hotspot for water saving potential in the country. This study therefore provides an insight to addressing the water scarcity in the country through reducing household food waste.

  • PDF

Analysis of Domestic Water Consumption Characteristics for Water Usage Purpose (가정용수의 사용 목적별 소비경향 특성분석)

  • Choi, Sun-hee;Son, Mi-na;Kim, Sang-hyun
    • Journal of Korean Society of Water and Wastewater
    • /
    • v.22 no.1
    • /
    • pp.23-29
    • /
    • 2008
  • Throughout the analysis of field data from water distribution system, valid parameters were determined that can be included in the water service and design plan. This study investigates water consumption patterns to understand the variation of water-demand structures utilizing the pattern analysis of domestic purpose water. Water use data were collected by a public water resources management firm in Korea, Kwater, for 140 houses monitored during three years. Flow meters were installed at the faucet for drinking water, the shower booth, the laundry machine, bathroom sink, toilet, and garden faucet. Data was filtered using multiple physically meaningful criteria to improve analysis credibility. Mann Kendall and Spearman's Rho tests were used to carry out the analysis. Distinct factors of water consumption patterns can be determined for both increasing and decreasing trends of water use. Throughout the data analysis, the characterization of terms was classified and analyzed by the condition of the location of water-demand. Analysis of this data provide a physical basis for the parameter configuration of a reasonable design for a domestic water demand prediction model.

A Study on Water Resource Development Due to the Present Situation of Water Deficit (물 부족현상에 따른 수자원개발에 관한 고찰)

  • 김재홍
    • Journal of the Korean Professional Engineers Association
    • /
    • v.35 no.4
    • /
    • pp.19-23
    • /
    • 2002
  • Recently, deficit of water for daily We, industrial, agricultural use and Increasing water demand of river maintenance has increased gradually by the improvement of living condition of the Republic of Korea. Comprehensive measures for water deficit In the future are studied, based on the Investigated result of the actual condition of water use.

  • PDF

Research on the Development of Sensing Data and Water Unit Factor Application of Urban Water Demand (센싱데이터와 원단위 산정을 활용한 도시용수 사용량 산정기법에 관한 연구)

  • Kim, Dong-Moon;Kim, Seong-Hoon;Lee, Si-Hyoung;Kim, Eui-Myoung;Park, Jae-Kook
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
    • /
    • 2010.04a
    • /
    • pp.347-348
    • /
    • 2010
  • The purpose of this study lies in presenting a methodology to estimate the amount of water to be used in the future by grasping the state of water use in real time based on a statistical analysis using water unit factor application of urban water demand of existing housing, education facilities, and industrial water as well as sensing data by water type. The results of the study would provide in real time the state of water use per water type and the amount of water to be consumed in the future in order to provide basic data for decision-making when planning and managing water facilities based on GIS at times water lacks.

  • PDF

A Development of Water Demand Forecasting Model Based on Wavelet Transform and Support Vector Machine (Wavelet Transform 방법과 SVM 모형을 활용한 상수도 수요량 예측기법 개발)

  • Kwon, Hyun-Han;Kim, Min-Ji;Kim, Oon Gi
    • Journal of Korea Water Resources Association
    • /
    • v.45 no.11
    • /
    • pp.1187-1199
    • /
    • 2012
  • A hybrid forecasting scheme based on wavelet decomposition coupled to a support vector machine model is presented for water demand series that exhibit nonlinear behavior. The use of wavelet transform followed by the SVM model of each leading component is explored as a model for water demand data. The proposed forecasting model yields better results than a traditional ARIMA time series forecasting model in terms of self-prediction problem as well as reproducing the properties of the observed water demand data by making use of the advantages of wavelet transform and SVM model. The proposed model can be used to substantially and significantly improve the water demand forecasting and utilized in a real operation.