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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2010.9
- 수록면
- 135 - 140 (6page)
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초록· 키워드
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With the various urban characteristics of each city, the existing water demand prediction, which uses average liter per capita day, cannot be used to achieve an accurate prediction as it fails to consider several variables. Thus, this study considered social and industrial factors of 164 local cities, in addition to population and other directly influential factors, and used main substance and cluster analyses to develop a more efficient water demand prediction model that considers unique localities of each city. After clustering, a multiple regression model was developed that proved that the R2 value of the inclusive multiple regression model was 0.59; whereas, those of Clusters A and B were 0.62 and 0.74, respectively. Thus, the multiple regression model was considered more reasonable and valid than the inclusive multiple regression model. In summary, the water demand prediction model using principal component and cluster analyses as the standards to classify localities has a better modification coefficient than that of the inclusive multiple regression model, which does not consider localities.
목차
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참고문헌 (10)
참고문헌 신청
1. [학위논문] - Shim MH / 2005 / Estimating long-term water demand by principal component and cluster analysis in central Seoul / 석사 / University of Seoul
2. [학술지(정기간행물)] - Arbues F / 2003 / Estimation of residential water demand: a state-of-the-art review / J. Soc. Econ. 32 : 81 ~ 102
3. [학위논문] - Kim YS / 2007 / A study on estimation of domestic water demand by actual survey data / 석사 / University of Seoul
4. [학술지(정기간행물)] - Reynaud A / 2003 / An econometric estimation of industrial water demand in France / Environ. Resource Econ. 25 : 213 ~ 232
5. [학위논문] - Pyon SS / 2003 / Long-term water demand forecasting using the system dynamics model / 석사 / University of Seoul
2. [학술지(정기간행물)] - Arbues F / 2003 / Estimation of residential water demand: a state-of-the-art review / J. Soc. Econ. 32 : 81 ~ 102
3. [학위논문] - Kim YS / 2007 / A study on estimation of domestic water demand by actual survey data / 석사 / University of Seoul
4. [학술지(정기간행물)] - Reynaud A / 2003 / An econometric estimation of industrial water demand in France / Environ. Resource Econ. 25 : 213 ~ 232
5. [학위논문] - Pyon SS / 2003 / Long-term water demand forecasting using the system dynamics model / 석사 / University of Seoul
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UCI(KEPA) : I410-ECN-0101-2017-539-001547623