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서재승(Jae Seung Seo),이동률(Dong Ryul Lee),최시중(Si Jung Choi),강성규(Seong Kyu Kang) 大韓環境工學會 2011 대한환경공학회지 Vol.33 No.11
본 연구에서는 물 사용관련 주요 지표인 1인1일 급수량을 이용하여 수요관리 추진 결과 분석 및 절감량을 산정하고, 수요관리를 통하여 발생하는 절감량을 물 수급전망에 연계할 수 있는 시스템을 개발하였다. 1인1일 급수량 분석결과 상수도 여건이 열악한 지자체는 상수도 보급 개선이 선행되어야 하며, 장래용수수요량 추정시에도 이를 고려하여야 할 것으로 판단된다. 금강권역을 대상으로 수요관리 절감량을 산정하고 K-WEAP (Korea-Water Evaluation And Planning System)을 이용하여 물수지분석을 수행한 결과 하천유량 변화 및 지하수와 저수지저수량 증가를 확인하였으며, 이는 다른 용도로 활용 가능하다고 판단된다. 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.
김이태 ( Kim I Tae ),서재승 ( Seo Jae Seung ),이동률 ( Lee Dong Lyul ) 한국물환경학회 2003 한국물환경학회지 Vol.19 No.4
Although the urban water demand per capita per day (lpcd) had an increased trend Until mid-l990s, since then it has become reducer and stable In this paper, the urban water demand divided into domestic water and others. which is business, commercial. public bath, and industrial water demand in city This paper evaluates the characteristics of urban water demand use and trend, and forecasts long-term demand considering the recent character with two exponential models Modified exponential model (Model 1) and least square method exponential model (Model 2) applied to the whole country and five cities The results of two models show that urban water demand is predicted to approach to stable level in 2011 year The forecasting of domestic water demand gives better results compared with that of other water demand in evaluation to mean absolute percentage error of both models