KICT-KOREA INSTITUTE of CIVIL ENGINEERING and BUILDING TECHNOLOGY

Medium-term rainfall forecasts using artificial neural networks with Monte-Carlo cross- validation and aggregation for the Han River basin, Korea

Monthly Precipitation Forecasting in the Han River Basin, South Korea, Using Large-Scale Teleconnections and Multiple Regression Models

Forecasting daily precipitation and temperature using spatial weather generator for watershed modelling in the Han River, Korea

Journal : The 23rd International Congree on Modelling and Simulation (MODSIM 2019)
Date : 2019.12.03

Developing an artificial neural network model for predicting monthly rainfall in June for the Han River basin, Korea

Journal : The 23rd International Congree on Modelling and Simulation (MODSIM 2019)
Date : 2019.12.03

Forecasting monthly precipitation for the Han River basin in Korea using large scale climate teleconnections

Journal : The 23rd International Congree on Modelling and Simulation (MODSIM 2019)
Date : 2019.12.01

Optimal Stream Gauge Network Design Using Entropy Theory and Importance of Stream Gauge Stations

The assessment of Fire Risk in Goyang city and Evaluation of regional economic impacts in case of fire in dangerous buildings

Journal : The 2019 World Congress on Advances in Structural Engineering and Mechanics (ASEM19, http://asem19.org/)
Date : 2019.09.18

Transfer Lengths in Pretensioned Concrete Measured Using Various Sensing Technologies

Journal : 1976-0485 INTERNATIONAL JOURNAL OF CONCRETE STRUCTURES AND MATERIALS
Date : 2019.08.26

Comparison of Short Term Runoff Simulation based on Consecutive Rainfall Events using CAT and ConSEB Model

ASSESSMENT OF FIRE RISK AND SOCIO-ECONOMIC IMPACTS AT LOCAL LEVEL, GOYANG CITY, KOREA

KICT 한국건설기술연구원