Sensitivity Analysis and Coverage Review of the Parameters for Inundation Simulations of Coastal Areas Using XP-SWMM

In the Republic of Korea, XP-SWMM is mainly used to analyze the causes of urban flooding, which occurs continuously, and to establish countermeasures. However, it is difficult for a model to be calibrated because most urban areas are ungauged. Therefore, many engineers use the default values provided in the user manual when using XP-SWMM. In this study, a sensitivity analysis of the four main parameters for simulating two-dimensional inundation with XP-SWMM was conducted. In addition, the proper ranges were reviewed for the parameters by comparing the archived map of the target area (Marine City in Busan) and the simulation results that were derived from parameter changes. The results of this study can be applied in the estimation of input data for various urban inundation analyses.

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A survey of Heterophyes nocens and Pygidiopsis summa metacercariae in mullets and gobies along the coastal areas of the Republic of Korea

The Korean Journal of Parasitology ◽

10.3347/kjp.2007.45.3.205 ◽

2007 ◽

Vol 45 (3) ◽

pp. 205 ◽

Cited By ~ 13

Author(s):

Sang-Mee Guk ◽

Eun-Hee Shin ◽

Jae-Lip Kim ◽

Woon-Mok Sohn ◽

Kwang-Sun Hong ◽

...

Keyword(s):

Coastal Areas ◽

Republic Of Korea ◽

The Republic

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Pygidiopsis summa (Digenea: Heterophyidae): Status of Metacercarial Infection in Mullets from Coastal Areas in the Republic of Korea

The Korean Journal of Parasitology ◽

10.3347/kjp.2016.54.4.497 ◽

2016 ◽

Vol 54 (4) ◽

pp. 497-502 ◽

Cited By ~ 3

Author(s):

Woon-Mok Sohn ◽

Byoung-Kuk Na ◽

Shin-Hyeong Cho ◽

Won-Ja Lee ◽

Mi-Yeoun Park ◽

...

Keyword(s):

Coastal Areas ◽

Republic Of Korea ◽

The Republic

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Recovery of Forest Vegetation in a Burnt Area in the Republic of Korea: A Perspective Based on Sentinel-2 Data

Applied Sciences ◽

10.3390/app11062570 ◽

2021 ◽

Vol 11 (6) ◽

pp. 2570

Author(s):

Yunhee Kim ◽

Myeong-Hun Jeong ◽

Minkyo Youm ◽

Junkyeong Kim ◽

Jinpyung Kim

Keyword(s):

Forest Fires ◽

Forest Restoration ◽

Vegetation Index ◽

Fire Severity ◽

Vegetation Indices ◽

Republic Of Korea ◽

Atmospheric Effects ◽

Target Area ◽

Vegetative Regeneration ◽

The Republic

Forest fires are severe disasters that cause significant damage in the Republic of Korea and the entire world, and an effort is being made to prevent forest fires internationally. The Republic of Korea budgets 3.38 million USD every year to prevent forest fires. However, an average of 430 wildfires occur nationwide annually. Thirty-eight percent of the forest fire budget is used for forest restoration. Restoring afforestation in the affected areas is a top priority. This study aimed to estimate the degree of vegetative regeneration using the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Soil-Adjustment Vegetation Index (SAVI), and Normalized Burn Ratio (NBR). Although many studies have used NBR with NDVI to extract plant regeneration regions, they suffer from atmospheric effects and soil brightness. Thus, this study utilizes NBR with NDVI, EVI, and SAVI to accurately select areas for targeted forest restoration. Furthermore, this study applies clustering analysis to extract the spatial boundary of vegetative regenerative regions. The proposed method suggests a pixel range of vegetation indices. These ranges can be used as an indicator, such as the NBR’s Fire Severity Level, which reflects the mountain’s local characteristics, meaning that it can be useful after forest fires. Using the three vegetation indices can extract more accurate vegetation areas than using NBR with NDVI and can help determine a forest restoration target area.

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Survey of Gymnophalloides seoi Metacercariae in Natural and Cultured Oysters from Several Western Coastal Areas, Korea

The Korean Journal of Parasitology ◽

10.3347/kjp.2019.57.6.705 ◽

2019 ◽

Vol 57 (6) ◽

pp. 705-708

Author(s):

Taehee Chang ◽

Bong-Kwang Jung ◽

Hyemi Song ◽

Jaeeun Cho ◽

Sooji Hong ◽

...

Keyword(s):

Infection Rate ◽

Coastal Areas ◽

Republic Of Korea ◽

Digestion Method ◽

Artificial Digestion ◽

Positive Rate ◽

The Republic

Gymnophalloides seoi (Digenea: Gymnophallidae) is a human intestinal trematode contracted by eating raw oysters (Crassostrea gigas) in the Republic of Korea (=Korea). It has been known to be highly endemic in Aphae Island, Shinan-gun, Jeollanam-do (Province). However, recent epidemiological status of G. seoi has not been reported since the 1990s. In this study, we investigated the prevalence of G. seoi metacercariae in natural and cultured oysters collected from 3 islands and 2 coastal areas in western parts of Korea. The oysters were examined using the artificial digestion method followed by stereomicroscopy. The overall positive rate of G. seoi metacercariae in natural oysters was 66.0% (99/150), and the oysters collected from Yubu Island showed the highest infection rate (74.0%). However, the metacercarial density per oyster was relatively low (1.5-2.4 per oyster). By contrast, no metacercaria was found in cultured oysters purchased from 2 coastal areas in Chungcheongnam-do. Thus, we could confirm that natural oysters produced from 3 western coastal islands are infected with G. seoi metacercariae, whereas cultured oysters purchased from 2 coastal areas were free from infection.

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COVID-19 Vaccine Priority Strategy Using a Heterogenous Transmission Model Based on Maximum Likelihood Estimation in the Republic of Korea

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18126469 ◽

2021 ◽

Vol 18 (12) ◽

pp. 6469

Author(s):

Youngsuk Ko ◽

Jacob Lee ◽

Yeonju Kim ◽

Donghyok Kwon ◽

Eunok Jung

Keyword(s):

Maximum Likelihood ◽

Maximum Likelihood Estimation ◽

Healthcare Workers ◽

Likelihood Estimation ◽

Republic Of Korea ◽

Transmission Model ◽

Reproductive Number ◽

Current Vaccine ◽

Simulation Results ◽

The Republic

(1) Background: The vaccine supply is likely to be limited in 2021 due to constraints in manufacturing. To maximize the benefit from the rollout phase, an optimal strategy of vaccine allocation is necessary based on each country’s epidemic status. (2) Methods: We first developed a heterogeneous population model considering the transmission matrix using maximum likelihood estimation based on the epidemiological records of individual COVID-19 cases in the Republic of Korea. Using this model, the vaccine priorities for minimizing mortality or incidence were investigated. (3) Results: The simulation results showed that the optimal vaccine allocation strategy to minimize the mortality (or incidence) was to prioritize elderly and healthcare workers (or adults) as long as the reproductive number was below 1.2 (or over 0.9). (4) Conclusion: Our simulation results support the current Korean government vaccination priority strategy, which prioritizes healthcare workers and senior groups to minimize mortality, under the condition that the reproductive number remains below 1.2. This study revealed that, in order to maintain the current vaccine priority policy, it is important to ensure that the reproductive number does not exceed the threshold by concurrently implementing nonpharmaceutical interventions.

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