This page has only limited features, please log in for full access.

Mr. sangbo sim
Pusan national university hospital

Basic Info


Research Keywords & Expertise

0 Civil Engineering
0 Environmental Engineering
0 Modelling
0 entropy
0 Hydraulic

Honors and Awards

The user has no records in this section


Career Timeline

The user has no records in this section.


Short Biography

The user biography is not available.
Following
Followers
Co Authors
The list of users this user is following is empty.
Following: 0 users

Feed

Journal article
Published: 20 June 2021 in Water
Reads 0
Downloads 0

The annual average rainfall in Busan area is increasing, causing frequent flooding of Busan’s Suyeong and Oncheon rivers. Due to the increase in urbanized areas and climate change, it is difficult to reduce flood damage. Therefore, new methods are needed to reduce urban inundation. This study models the effects of three flood reduction methods involving Oncheon River, Suyeong River, and the Hoedong Dam, which is situated on the Suyeong. Using EPA-SWMM, a virtual model of the dam and the rivers was created, then modified with changes to the dam’s height, the installation of a floodgate on the dam, and the creation of an underground waterway to carry excess flow from the Oncheon to the Hoedong Dam. The results of this study show that increasing the height of the dam by 3 m, 4 m, or 6 m led to a 27%, 37%, and 48% reduction in flooding, respectively, on the Suyeong River. It was also found that installing a floodgate of 10 × 4 m, 15 × 4 m, or 20 × 4 min the dam would result in a flood reduction of 2.7% and 2.9%, respectively. Furthermore, the construction of the underground waterway could lead to an expected 25% flood reduction in the Oncheon River. Measures such as these offer the potential to protect the lives and property of citizens in densely populated urban areas and develop sustainable cities and communities. Therefore, the modifications to the dam and the underground waterway proposed in this study are considered to be useful.

ACS Style

Yeon-Moon Choo; Sang-Bo Sim; Yeon-Woong Choe. A Study on Urban Inundation Using SWMM in Busan, Korea, Using Existing Dams and Artificial Underground Waterways. Water 2021, 13, 1708 .

AMA Style

Yeon-Moon Choo, Sang-Bo Sim, Yeon-Woong Choe. A Study on Urban Inundation Using SWMM in Busan, Korea, Using Existing Dams and Artificial Underground Waterways. Water. 2021; 13 (12):1708.

Chicago/Turabian Style

Yeon-Moon Choo; Sang-Bo Sim; Yeon-Woong Choe. 2021. "A Study on Urban Inundation Using SWMM in Busan, Korea, Using Existing Dams and Artificial Underground Waterways." Water 13, no. 12: 1708.

Journal article
Published: 14 May 2021 in Entropy
Reads 0
Downloads 0

In general, this new equation is significant for designing and operating a pipeline to predict flow discharge. In order to predict the flow discharge, accurate determination of the flow loss due to pipe friction is very important. However, existing pipe friction coefficient equations have difficulties in obtaining key variables or those only applicable to pipes with specific conditions. Thus, this study develops a new equation for predicting pipe friction coefficients using statistically based entropy concepts, which are currently being used in various fields. The parameters in the proposed equation can be easily obtained and are easy to estimate. Existing formulas for calculating pipe friction coefficient requires the friction head loss and Reynolds number. Unlike existing formulas, the proposed equation only requires pipe specifications, entropy value and average velocity. The developed equation can predict the friction coefficient by using the well-known entropy, the mean velocity and the pipe specifications. The comparison results with the Nikuradse’s experimental data show that the R2 and RMSE values were 0.998 and 0.000366 in smooth pipe, and 0.979 to 0.994 or 0.000399 to 0.000436 in rough pipe, and the discrepancy ratio analysis results show that the accuracy of both results in smooth and rough pipes is very close to zero. The proposed equation will enable the easier estimation of flow rates.

ACS Style

Yeon-Woong Choe; Sang-Bo Sim; Yeon-Moon Choo. New Equation for Predicting Pipe Friction Coefficients Using the Statistical Based Entropy Concepts. Entropy 2021, 23, 611 .

AMA Style

Yeon-Woong Choe, Sang-Bo Sim, Yeon-Moon Choo. New Equation for Predicting Pipe Friction Coefficients Using the Statistical Based Entropy Concepts. Entropy. 2021; 23 (5):611.

Chicago/Turabian Style

Yeon-Woong Choe; Sang-Bo Sim; Yeon-Moon Choo. 2021. "New Equation for Predicting Pipe Friction Coefficients Using the Statistical Based Entropy Concepts." Entropy 23, no. 5: 611.

Journal article
Published: 10 May 2021 in Water
Reads 0
Downloads 0

In recent years, climate abnormalities have been observed globally. Consequently, the scale and size of natural disasters, such as typhoons, wind wave, heavy snow, downpours, and storms, have increased. However, compared to other disasters, predicting the timing, location and severity of damages associated with typhoons and other extreme wind wave events is difficult. Accurately predicting the damage extent can reduce the damage scale by facilitating a speedy response. Therefore, in this study, a model to estimate the cost of damages associated with wind waves and their impacts during coastal storms was developed for the Republic of Korea. The history of wind wave and typhoon damages for coastal areas in Korea was collected from the disaster annual report (1991–2020), and the damage cost was converted such that it reflected the inflation rate as in 2020. Furthermore, data on ocean meteorological factors were collected for the events of wind wave and typhoon damages. Using logistic and linear regression, a wind wave damage prediction model reflecting the coastal regional characteristics based on 74 regions nationwide was developed. This prediction model enabled damage forecasting and can be utilized for improving the law and policy in disaster management.

ACS Style

Yeon Choo; Kun Chun; Hae Jeon; Sang Sim. A Predictive Model for Estimating Damage from Wind Waves during Coastal Storms. Water 2021, 13, 1322 .

AMA Style

Yeon Choo, Kun Chun, Hae Jeon, Sang Sim. A Predictive Model for Estimating Damage from Wind Waves during Coastal Storms. Water. 2021; 13 (9):1322.

Chicago/Turabian Style

Yeon Choo; Kun Chun; Hae Jeon; Sang Sim. 2021. "A Predictive Model for Estimating Damage from Wind Waves during Coastal Storms." Water 13, no. 9: 1322.