• Journal of Navigation and Port Research
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• v.35 no.1
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• pp.17-21
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• 2011

Characteristics of meteorological disasters in the southern coast of Korea were analyzed for 20 years from 1989 to 2008 using the Korea meteorological administration's data. The main results are summarized as follows. Yearly mean number and the total number of meteorological disasters in the southern coast of Korea during 20 years are 7.5 and 149, respectively. The highest number appears in July followed by August and the third is September. The meteorological disasters from July to September occupied about 42%. The seasonal mean number is most in summer(about 39% of all), the next orders are the autumn, winter and spring. The meteorological disasters in summer are mainly caused by typhoon and heavy rain. The meteorological disasters of a great scale occurred by typhoons(for example, 9112 GLADYS, 0215 RUSA and 0314 MAEMI) which strike in the southern coast of Korea.

• Journal of Korean Society on Water Environment
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• v.25 no.5
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• pp.697-703
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• 2009

In this study, changes in the composition of dissolved organic carbon (DOC) were investigated using water samples collected at a downstream site of the Namhan River near the Lake Paldang ($N37^{\circ}24^{\prime}05.33^{{\prime}{\prime}}E127^{\circ}32^{\prime}25.01^{{\prime}{\prime}}$) during a heavy rain event from July 23 to July 28, 2008. The DOC concentrations varied from 1.68 to 3.18 mg/L with the maxium value at a peak of the river water level. Each DOC sample was fractionated into three compositions including hydrophilic (Hi), hydrophobic acid (HoA) and hydrophobic neutral (HoN) fractions. The results showed that HoA was most abundant fractions, constituting 47.2~56.5% of DOC. Refractory dissolved organic carbon (R-DOC) contents were also determined by measuring the DOC concentration after 28-day dark incubation of the samples. R-DOC content was in the range from 83 to 99% of DOC and it was significantly correlated with HoA contents (r = 0.91, p<0.005), while it did not exhibit such a good correlation with the fractions of Hi and HoN (p>0.02). Our results suggest that the HoA, which is associated with humic substances, may be a major composition of refractory organic matters in rivers during storm events.

• Journal of the Korean Society for Marine Environment & Energy
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• v.5 no.3
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• pp.45-53
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• 2002

This investigation is performed to prepare reducing method drained floating debris from the river This paper is present an investigation result of the marine debris characteristics that drained from korea 4 big river(han river, kum river, youngsan river, nakdong river) during July and August. A mount of floating debris different with rainfall. Short heavy rain like as 150mm/day floating debris drained lower, almost floating debris drained when a flooding cause by continuance heavy rain. Floating debris draining is not continuance, but concentrated on a flooding. All debris is do not drained ocean, a lot of debris accumulated riverside. Floating debris is drained with plant and configuration is similar with other river. But, the component ratio is different, so that, to Prepare removing method for floating debris consider that effect of plant debris.

• Korean Journal of Remote Sensing
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• v.16 no.1
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• pp.55-64
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• 2000

The Tropical Rainfall Measuring Mission(TRMM) Satellite was launched in November 1997, carving into orbit the first space-borne Precipitation Radar(PR). The main objective of the TRMM is to obtain and study multi-year science data sets of tropical and subtropical rainfall measurements. In the present investigation, the characteristics of heavy rainfall cases over Korea in 1998 and 1999 are analyzed using the TRMM/PR dat3. We compare the rainrate measured from TRMM/PR with the accumulated rainfall data for 10 minutes tv Automatic Weather System(AWS). Especially, horizontal cross-section of rainrate with height and longitude in the precipitating clouds are investigated. As a result of the comparison with GMS-5 IR1, the TRMM/PR data delineate well the rain type( i.e. convective, stratiform cloud and others), height of storm top and instantaneous rainrate in the precipitating clouds. The vertical structure with height and horizontal cross-section of rainrate along the longitude show the orographic effect on the rainfall. TRMM/PR instrument measures the rainrate below 6 ㎜/hr more than AWS rainguages and inclined to underestimate the rainrate than rainguages for the whole area.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.154-154
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• 2017

전 세계적인 기후변동과 기후변화의 영향으로 대규모 인명 및 재산피해를 유발하는 자연재난의 빈도와 강도가 증가하고 있다. 이렇게 변화하는 상황에서 효율적인 대책을 수립하기 위해서는 재해에 노출된 특성을 지역적 특성과 함께 고려하여 지역별로 재해에 위험한 정도를 평가하는 것이 선행되어지고, 재난 피해 발생전에 피해 지역 및 범위를 예측하는 것이 필요하다고 판단된다. 따라서 본 연구에서는 국내 자연재난 피해의 65% 이상을 차지하는 호우피해를 대상으로 PSR(Pressure-State-Response) 구조를 이용하여 호우피해위험지수(Heavy rain Damage Risk Index, HDRI)를 제안하여 호우 위험도를 평가하고자하였다. 또한 도출된 지역별 위험등급에 따른 호우피해 예측함수를 개발하여 재해발생 전에 개략적인 피해의 범위를 예측하고자 하였다. 먼저 지역별 호우 위험도 평가를 위해 압력지표, 현상지표, 대책지표를 구축하고, 주성분분석을 이용하여 평가지표를 결정하였다. 결정된 평가지표를 동일한 가중치를 부여하여 호우피해위험지수를 도출하였다. 분석결과, 경기도 31개 지자체 중에서 가장 안전한 1등급인 지자체는 15개의 지자체로 나타났으며, 2등급인 지자체는 7개, 3등급인 지자체는 9개로 분류되었다. 지자체별 호우 위험도 등급에 따라서 재해기간별 총강우량, 재해일수, 선행강우량(1~5일), 지속시간별 최대강우량(1~24시간) 등의 자료를 설명변수로 구축하였고, 다중회귀모형과 주성분분석을 활용하여 예측함수를 개발하였다. 등급별 호우피해 예측함수는 N-RMSE가 12~18%로 호우피해를 적절하게 예측하는 것으로 평가되었다. 본 연구를 통해 지자체별 호우피해위험도 등급을 파악 할 수 있으며, 평가된 호우피해위험도 등급별로 호우피해 예측함수 개발을 통해 사전에 호우피해 발생 및 규모를 파악할 수 있게 되었다. 따라서 본 연구의 결과는 각 지자체 및 관련 부처에서 효과적인 방재체계를 수립하는데 있어 기초자료로 활용될 수 있을 것으로 판단된다.

• Journal of Climate Change Research
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• v.4 no.4
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• pp.317-330
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• 2013

The yield of rice production is affected severely by abnormal weather events, such as flood, drought, high temperature etc. The objective of this paper is to assess impacts of abnormal weather events on rice production, using a panel model which analyzes both cross-section data and ti- me series data. Abnormal weather is defined as the weather event which goes beyond the range of ${\pm}2{\sigma}$ from the average of a weather factor. The result of an analysis on impacts of high temperature on rice production showed that the yield of rice was decreased 5.8% to 16.3% under the conditions of extremely high temperature, and it was decreased 8.8 to 20.8% under the conditions of both extremely high and heavy rain. Adaptation strategies, development of new varieties enduring high temperature and heavy rain, adaptation of crop insurance, modernization of irrigation facilities are needed to minimize the impacts of abnormal weather on rice production, and to stabilize farmers' income.

• Journal of Korean Society of Water and Wastewater
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• v.35 no.1
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• pp.53-61
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• 2021

The quantified analysis of damages to wastewater treatment plants by natural disasters is essential to maintain the stability of wastewater treatment systems. However, studies on the quantified analysis of natural disaster effects on wastewater treatment systems are very rare. In this study, a total disaster index (DI) was developed to quantify the various damages to wastewater treatment systems from natural disasters using two statistical methods (i.e., AHP: analytic hierarchy process and PCA: principal component analysis). Typhoons, heavy rain, and earthquakes are considered as three major natural disasters for the development of the DI. A total of 15 input variables from public open-source data (e.g., statistical yearbook of wastewater treatment system, meteorological data and financial status in local governments) were used for the development of a DI for 199 wastewater treatment plants in Korea. The total DI was calculated from the weighted sum of the disaster indices of the three natural disasters (i.e., TI for typhoon, RI for heavy rain, and EI for earthquake). The three disaster indices of each natural disaster were determined from four components, such as possibility of occurrence and expected damages. The relative weights of the four components to calculate the disaster indices (TI, RI and EI) for each of the three natural disasters were also determined from AHP. PCA was used to determine the relative weights of the input variables to calculate the four components. The relative weights of TI, RI and EI to calculate total DI were determined as 0.547, 0.306, and 0.147 respectively.

• Journal of Environmental Science International
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• v.30 no.12
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• pp.1053-1065
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• 2021

In this study, the prediction technology of Hydrological Quantitative Precipitation Forecast (HQPF) was improved by optimizing the weather predictors used as input data for machine learning. Results comparison was conducted using bias and Root Mean Square Error (RMSE), which are predictive accuracy verification indicators, based on the heavy rain case on August 21, 2021. By comparing the rainfall simulated using the improved HQPF and the observed accumulated rainfall, it was revealed that all HQPFs (conventional HQPF and improved HQPF 1 and HQPF 2) showed a decrease in rainfall as the lead time increased for the entire grid region. Hence, the difference from the observed rainfall increased. In the accumulated rainfall evaluation due to the reduction of input factors, compared to the existing HQPF, improved HQPF 1 and 2 predicted a larger accumulated rainfall. Furthermore, HQPF 2 used the lowest number of input factors and simulated more accumulated rainfall than that projected by conventional HQPF and HQPF 1. By improving the performance of conventional machine learning despite using lesser variables, the preprocessing period and model execution time can be reduced, thereby contributing to model optimization. As an additional advanced method of HQPF 1 and 2 mentioned above, a simulated analysis of the Local ENsemble prediction System (LENS) ensemble member and low pressure, one of the observed meteorological factors, was analyzed. Based on the results of this study, if we select for the positively performing ensemble members based on the heavy rain characteristics of Korea or apply additional weights differently for each ensemble member, the prediction accuracy is expected to increase.

• Journal of Korean Society of Disaster and Security
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• v.15 no.3
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• pp.23-29
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• 2022

The frequency of localized heavy rain is increasing due to the influence of abnormal climate that is rapidly increasing in recent years. As a result, the difficulty of safe water resource management is increasing and human and material damage is increasing. Various countermeasures are being established to reduce the damage caused by localized heavy rain, but small-scale mountain catchments are experiencing many difficulties due to the lack of a basic plan. Therefore in this study the risk of flooding was evaluated using the rainfall-runoff model in the Yu-pyeong catchment national park among national parks in Korea. As a result of the analysis, it was simulated that flooding occurred in the Yu-pyeong catchment of Mt. Jirisan when rainfall with a recurrence frequency of 50 years or more occurred, and it was confirmed that there was a high risk of structures, safety facilities and trails.

• Korean Journal of Ecology and Environment
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• v.44 no.3
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• pp.303-313
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• 2011

Field observations and culture experiments have been carried out during the rainy season (on the 6th, 8th and 27th July 2009) to examine changes in the primary productivity and associated plant pigments in the estuary of the Seom-jin River. Primary productivity was determined at four sampling stations along the salinity gradient. On 6th July (before heavy rain) primary productivity ranged from 689~1,169 mgC $m^{-2}$ $d^{-1}$. On the 8th, just after more than 216.5 mm of precipitation, euphotic layers at all stations were reduced to very shallow water because of the high concentration of suspended solids in the water. This resulted in dramatically decreased primary productivity down to as low as 12~32 mg C $m^{-2}$ $d^{-1}$. However, after the rain, primary productivity on the 27th ranged from 266~999 mgC $m^{-2}$ $d^{-1}$, demonstrating a fast recovery in the upper stream water to similar productivity levels to those before the rainy season. Concentration of fucoxanthin in the water was highest on the 6th July. Before the rain, concentration of the zeaxanthin, increased as the salinity decreased. Immediately after the heavy rain, the Chl b (Chlorophytes) concentration was higher at all sites than before the rainy season. The concentration of fucoxanthin decreased after the heavy rain. At the downstream site, peridinin (Dinoflagellates) were found. During the rainy season, the diatoms contributed to the primary productivity at all sites. However, after the rainy season, Chl b (Chlorophytes) and Peridinin (Dinoflagellates) increased, demonstrating the enhanced contribution of those species in addition to diatoms.