Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Hun-Kyun Bae"'
Publikováno v:
The Scientific World Journal, Vol 2014 (2014)
To overcome the complication of jetty pile design process, artificial neural networks (ANN) are adopted. To generate the training samples for training ANN, finite element (FE) analysis was performed 50 times for 50 different design cases. The trained
Externí odkaz:
https://doaj.org/article/189a1565f44947f693204a4c0bd6801e
Autor:
Hun Kyun Bae, Jae Seung Moon
Publikováno v:
Environmental Engineering Research; Feb2024, Vol. 29 Issue 1, p1-11, 11p
Autor:
Hun Kyun Bae, Jae Seung Moon
Publikováno v:
Environmental Engineering Research.
Publikováno v:
Environmental Engineering Research; Oct2023, Vol. 28 Issue 5, p1-10, 10p
Autor:
Hun Kyun Bae
Publikováno v:
KSCE Journal of Civil Engineering. 25:751-756
The effects of different coagulants on coagulation process for algal removal were investigated with the laboratory scale to obtain data for their influence to drinking water treatment processes. Aluminum sulfate, which is the most commonly used for c
Publikováno v:
Environmental Engineering Research. 28:220368
In this study, water quality factors (water temperature, turbidity, T-P, T-N, Chl-a) in the downstream of the Kumho River were simulated through multiple regression analysis using remote sensing data of the Landsat 8 satellite. The approach for simul
Autor:
Hun Kyun Bae
Publikováno v:
Environmental Engineering Research.
Autor:
Hun-Kyun Bae
Publikováno v:
Journal of Coastal Research. 85:11-15
Bae, H.-K., 2018. The modelling approach for predicting costal pollutions using rainfall distributions over different land use/land cover. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 201
Determination of the Bioconcentration of Methidathion and Phosalone in Zebrafish (Brachydanio rerio)
Publikováno v:
Asian Journal of Water, Environment and Pollution. 15:93-96
Autor:
Sung-Woo Choi, Hun Kyun Bae
Publikováno v:
KSCE Journal of Civil Engineering. 22:467-474
Current water quality monitoring systems depend on the analysis of in situ grab samples. This is both cost- and labor-intensive, which makes it difficult to conduct daily monitoring tests. One possible way of overcoming this problem is to use a model