• Journal of Korean Society of Coastal and Ocean Engineers
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• v.19 no.3
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• pp.244-252
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• 2007

A long-term change in the evaporation rate have an influence on the hydrologic processes at the interface between the land surface-air and crop yield. Several previous studies have reported declines in pan evaporation rate, while actual evaporation rate is expected to increase due to anthropogenic global change in the future. The decreasing trend of pan evaporation rate might be involved with global warming and accordingly the trend of annual pan evaporation rate also needs to be checked here in Korea. In this study, 14 points of pan evaporation observation are intensively studied to investigate the trend of pan evaporation for the time period of 1970-2000. Annual pan evaporation is decreasing at the rate of 1.6mm/yr, which corresponds to approximately 50mm for 30 years. Annual pan evaporation rate is larger by $\sim10%$ at the coastal area and decreasing rate is faster as -2.46 mm/yr per year, while that is -0.82 mm/yr per year at the in-land area. The results of the Mann-Kendall trend test shows 4 points are decreasing and 10 points are unchanged with 95% confidence interval. But national annual average values show the decreasing trend of pan evaporation rate as a whole, which corresponds to general trend all over the world. This study will contribute to a variety of studies on water resources, hydrology, agricultural engineering, meteorology, and coastal engineering in association with future global climate change.

• Journal of Korean Society for Atmospheric Environment
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• v.21 no.1
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• pp.97-105
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• 2005

In order to reduce the uncertainties and improve the air flow field, objective analysis using asynoptic observational data is chosen as a method that enhances the reality of meteorology. In surficial data and their numerical interpolation for improving the interpretation of meteorological components, objective analysis scheme should perform a smooth interpolation, detect and remove the bad data and carry out internal consistency analysis. For objective analysis technique which related to data reliability and error suppression, we carried out two quality control methods. In site quality control, asynoptic observational data at urban area revealed low representation by the complex terrain and buildings. In case of wind field, it was more effective than temperature field when it were interpolated near waterbody data. Many roads, buildings, subways, vehicles are bring about artificial heat which left out of consideration on the simulation of air flow field. Therefore, in temperature field, objective analysis for more effective result was obtained when surficial data were interpolated as many as possible using value quality control rather than the selection of representative site.

• Korean Journal of Remote Sensing
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• v.36 no.5_1
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• pp.679-692
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• 2020

We coupled a CFD model to the WRF-Chem model (WRF-CFD model) and investigated the characteristics of flows and carbon monoxide (CO) distributions in a building-congested district. We validated the simulated results against the measured wind speeds, wind directions, and CO concentrations. The WRF-Chem model simulated the winds from southwesterly to southeasterly, overestimating the measured wind speeds. The statistical validation showed that the WRF-CFD model simulated the measured wind speeds more realistically than the WRF-Chem model. The WRF-Chem model significantly underestimated the measured CO concentrations, and the WRF-CFD model improved the CO concentration prediction. Based on the statistical validation results, the WRF-CFD model improved the performance in predicting the CO concentrations by taking complicatedly distributed buildings and mobiles sources of CO into account. At 04 KST on May 22, there was a downdraft around the AQMS, and airflow with a relatively low CO concentration was advected from the upper layer. Resultantly, the CO concentration was lower at the AQMS than the surrounding area. At 15 KST on May 22, there was an updraft around the AQMS. This resulted in a slightly higher CO concentration than the surroundings. The WRF-CFD model transported CO emitted from the mobile sources to the AQMS measurement altitude, well reproducing the measured CO concentration. At 18 KST on May 22, the WRF-CFD model simulated high CO concentrations because of high CO emission, broad updraft area, and an increase in turbulent diffusion cause by wind-shear increase near the ground.