| Title |
Preference Analysis for the Pedestrian Space in Large-scale Residential Complex by Multi Dimensional Scaling -Focused on the Haeundae New town in Busan- |
| Authors |
김유준(Kim, Yu Jun) ; 강윤원(Kang, Youn Won) ; 김종구(Kim, Jong Gu) |
| DOI |
https://doi.org/10.12652/Ksce.2014.34.1.0333 |
| Keywords |
보행공간;선호도;다차원척도법 Pedestrian space;Preference;MDS (Multi Dimensional Scaling) |
| Abstract |
General Circulation Models (GCMs) are the basic tool used for modelling climate. However, the spatio-temporal discrepancy between GCM and observed value, therefore, the models deliver output that are generally required calibration for applied studies. Which is generally done by Multi-Model Ensemble (MME) approach. Stochastic downscaling methods have been used extensively to generate long-term weather sequences from finite observed records. A primary objective of this study is to develop a forecasting scheme which is able to make use of a MME of different GCMs. This study employed a Nonstationary Hidden Markov Chain Model (NHMM) as a main tool for downscaling seasonal ensemble forecasts over 3 month period, providing daily forecasts. Our results showed that the proposed downscaling scheme can provide the skillful forecasts as inputs for hydrologic modeling, which in turn may improve water resources management. An application to the Nakdong watershed in South Korea illustrates how the proposed approach can lead to potentially reliable information for water resources management. |