Earticle

The development of Geum river basin rainfall runoff model aims to secure technologies to forecast water demand and supply in real‐time or for a short period of time (within 10 days), thus efficiently using limited water resources. To this end, developed were platform technologies such as continuous channel runoff amount forecasting technology for ensuring mid‐ and long‐term channel runoff amounts in connection with weather forecasting information, and real‐time water balance analytic technology for optimizing the water distribution and supply in basins. This paper describes theoretical background and input/output statements of the RRFS (Rainfall‐Runoff Forecasting System) base model, SSARR (Streamflow Synthesis and Reservoir Regulation), and then overall simulation system of RRFS.

The development of Geum river basin rainfall runoff model aims to secure technologies to forecast water demand and supply in real‐time or for a short period of time (within 10 days), thus efficiently using limited water resources. To this end, developed were platform technologies such as continuous channel runoff amount forecasting technology for ensuring mid‐ and long‐term channel runoff amounts in connection with weather forecasting information, and real‐time water balance analytic technology for optimizing the water distribution and supply in basins. This paper describes theoretical background and input/output statements of the RRFS (Rainfall‐Runoff Forecasting System) base model, SSARR (Streamflow Synthesis and Reservoir Regulation), and then overall simulation system of RRFS.

Mechanisms can provide useful strategy guide for most emergency coping activities to improve the efficiency of modern emergency management. In this paper, the two major aspects of fundamental mechanism of modern emergency management are introduced firstly. The process optimization mechanism is proposed with a detailed discussion and description of the principle and logic secondly. A circle of procedures for dynamic decision making to optimize the emergency disposal process based on Bayesian approach is developed thirdly. Lastly, a case study is given to demonstrate the effectiveness and feasibility of the mechanism.

Climate change and global warming have had an influence on the features of heavy precipitation over the Korean Peninsula. Many researches based on observations have found that the intensity of rainfall becomes more powerful; on the other hand, the number of rainfall days becomes less. It means that the possibility of occurrence of heavier precipitation event becomes even higher in the recent century. This tendency has also shown in this study which investigates the time-series of rainfall amount and the frequency of rainfall in the 21th century. In addition, we emphasize the technique to predict accurate rainfall information because it has been difficult to get reasonable rainfall information in the river basins due to climate change. The flood information system introduced here seems to be useful for the management of water system.