Construction of integrated DB for domestic water-cycle system and development of transfer function model

Due to the influence of climate change, the range of change in precipitation and regional variation have increased over the past 10 years, and the occurrence of local drought is increasing. The existing water supply and demand analysis system in Korea is produced by each management department, so there are limitations in data collection and decision-making on water distribution. For efficient water management, integration of water information should be prioritized. Based on this, actual water use monitoring, evaluation and water shortage prediction technology can be developed.

In this study, the DB of water-cycle system was constructed focusing on domestic water and transfer function model was developed. DB construction was classified into 3 stages (pre-preparation/investigation and analysis/application and evaluation), and the first stage was defined as the concept of water inflow/delivery/outflow from the urban perspective and the current status of data by point was identified. In the second stage, research directions were established through expert consultation and undisclosed data were collected through cooperation with related organizations. The third stage was applied to Gongju-si and Nonsan-si in Korea, which are the study sites, and the supplementations were reviewed. A transfer function model was developed using the constructed DB. It is expected that it will be possible to construct a useful transfer function model when analyzing the performance index by learning the outflow of the Singwan sewage treatment equipment based on the water intake amount of the Hyeondo intake station and confirming the autocorrelation of the non-significant residual.

In the future, additional considerations (outlet location, service area, and sewage treatment area subdivision) are required in national reports on river basins and droughts, and precipitation is also considered as a major input factor for outflow.

 

(This work was supported by a grant from the Korea Environmental Industry & Technology Institute (KEITI), funded by the Ministry of Environment (ME) of the Republic of Korea (2022003610003))