0.07%C-0.014%Ti-0.015Nb-0.005%B강 (강종 B)을 각각 TMCP처리하여 그 기계적 특성과 B의 거동을 조사하였다. Ta-B강이 Ti-Nb-B강보다 인장강도는 더 우수하였으나 충격 흡수에너지는 훨씬 더 낮았다. Ta-B강의 강도가 Ti-Nb-B강보다 더 우수한 이유는 Ta-B강에서의 Ta의 석출강화 효과가 Ti-Nb-B강에서의 Ti와 Nb의 석출강화 효과보다 더 크기 때문으로 생각된다. Ta-B강은 입내파괴, Ti-Nb-B강은 임계파괴의 파괴양상을 보여이며, Ti-Nb-B강이 Ta-B 강보다 더 큰 충격 흡수에너지를 나타내었다. TMCP에서는 항온변태시의 평형석출과는 달리 연속냉각방법을 사용하였기 때문에 B가 결정립계에 평형적 또는 비평형적으로 편석되어 준안정상으로 생각되는 연속적인 필름 형태의 붕화물을 형성한다. 또한, 냉각속도의 차이에 따라 석출물은 결정질이 되거자 비정질이 되었다. B의 함량이 많은 Ti-Nb-B강에서는 석출물이 비정질상이었다. 한편, B함량이 적은 Ta-B강에서는 B강에서는 결정립계에서 B가 관찰되지 않아는데, 이것은 결정립계에서의 B의 석출이 B의 함량에 매우 민감함을 의미하는 것이다.

Sn-rich합금의 석출 현상을 조사하였다. 첫째, 대기중과 진공 중에서 용해된 90Sn-o10Bi(wt%)합금을 140˚C에서 용체화 처리한 후 석출반응을 조사하였다. 90Sn-10Bi(wt%)합금은 불연속 석출(DP)현상을 나타냈다. 공기 중에서 용융된 시료의 DP반응이 진공 중에서 용융된 시료보다 빠르게 진행되었다. 이것은 공기 중에서 용융하는 과정에서 시료에 용존된 산소에 의해 입계 에너지가 감소한 것에 기인하는 것으로 판단된다. 둘째, 용융 후 서냉 응고된 Sn-Bi(-In)합금을 140˚C이하의 온도에서 열처리하여 미세조직 변화를 조사하였다. 명확한 고경각 입계가 존재하지 않는 응고조직에서, 편석영역으로부터 DP반응이 진행되어 석출셈이 형성되었다. DP반응선단에는 반응계면이 관찰되었다. 이 현상은, 이제까지 알려진 바와는 다르게, DP반응이 반응 전에 존재하는 고경각 입계뿐만 아니라 재결정현상에 의해 새로운 석출계면이 생성될 수 있음을 의미한다. 이러한 재결정 현상은 확산에 의한 정합변형(coherency strain)으로 설명된다.

YIG 전구체 분말은 요소의 열분해반응을 이용한 균일침전법에 의해서 질산염으로부터 제조하였다. 침전은 철이온이 먼저 침전한 후 이트륨이온이 침전하는 과정으로 이루어졌다. YGI전구체 분말은 철산화물과 비정질로 구성되어 있으며 그 분말의 대략적인 화학식은 2.5Fe2O3.Y3(OH)9-2x(CO3)x.nH2O로 되어있다. YIG 전구체 분말의 열분해과정은 dehydration, 철산화물의 recrystallization, yttrium carbonate 및 yttrium oxide의 형성과 고상반응등 여러단계로 구성되어 있다. 열처리온도가 증가함에 따라 Y2O3와 Fe2O3의 고상반응에 의해 YFeO3 intermediate을 경유해서 YIG상이 형성됨을 확인하였다. 단일상의 YIG는 1200˚C에서 6시간 공기중에서 소성함에 의해서 얻을 수 있었다.

As Al-Li based alloys are to find widespread use in aerospace and other structural applications in which their low-density high specific stiffness properties be exploited, their mechanical properties must adequately match those of the which they intended to replace. In order to develop these purposed, the precipitation behaviors of the rapidly solidified Al-Li-Ti alloys aged at various temperature were investigated. δ' phase precipitated homogeneously in the matrix during not only melt quenching but also aging at the aging temperature of 160℃ and 210℃. The addition of the Ti in Al-Li alloy promoted the formation of δ' phase. The addition of Ti on the δ' solvus line had a little effect over the thermodynamics δ' solvus line. The reason for these behavior was that the δ' phase was suppressed to precipitate as much as supercooling by melt quenching. The discontinuous precipitation reaction occurred by the preferential growth of δ' phase due to the migration of grain boundary provided the driving force dependent of solute concentration fluctuations.

Various humic substances are widely distributed in natural water body, such as rivers and lakes and cause the yellowish or brownish color to water. The evidence that humic substances are precursors of THMs formation in chlorinated drinking water has been reported m the Jiteratures. For the reason of public health as well as aesthetics, needs for humic substances removal have been increased in the conventional water treatment processes. In this research, the characteristics of aluminium coagulation of humic acids and humic acids were investigated. The optimum pH and coagulants dosage to remove these materials simultaneously by coagulation were alto studied. The results are as followed; 1. UV-254 absorptiometry for measuring the concentration of aquatic humic acids showed good applicability and stable results. 2. The optimal pH range for humic acids removal by aluminium coagulation was 5 to 5.5, however, an increase in aluminium coagulant dosage could enhance the removal rate of humic acids in the wide pH range. 3. Coprecipitation of humic acids in the typical pH range of 6.5 to 8 in water treatment processes may require the sweep coagulation mechanism with the excess aluminium coagulant dosage. 4. Using PAC(poly aluminium chloride) or PASS(poly aluminium silica sulfate) as coagulants was able to expand the operating range for removing humic acids. 5. From the coagulation of humic substances(UV-254) and turbidity at pH range of 5.5 - 6.0 and alum dose of 86 ppm, the removal efficiency of turbidity from the reservoir water was above 90% and that of UV-254 was above 70%. 6. By using the reservoir water, the optimum condition of rapid mixing for simultaneous removal of turbidity and UV-254 absorbance was pH of 5.8 and LAS dose of 86 ppm, in this study.

극저탄소 알루미늄 킬드강내에 합금원소로 첨가된 Al, Ti, Nb, B등은 열처리 공정중 질화물이나 탄화물로 석출되어 강의 재결정집합조직을 변화시킴으로써 강판재의 디입드로잉 특성에 결정적인 영향을 미친다. 본 연구에서는 Ti및 Nb를 단독으로 또는 동시에 첨가한 데 이어, B, P, Si 및 Mn등을 추가로 첨가한 극저탄소 고강도 강판의 집삽조직에 미치는 질화물, 탄화물과 같은 미세 석출물의 영향을 TEM, SEM, 광학현미경분석에 의하여 조사하였다. Nb 및 Ti를 동시에 첨가한 강에서는 미세한 Nb2C 및 Ti2AIN가 주로 석출되는 반면, Nb를 단독으로 첨가한 강에서는 미세한 AIN 및 조대한 BN이 석출되고,Ti를 단독으로 첨가한 강에서는 비교적 조대한 Ti4N3및 조대한 N10N22/Ti68이 석출되는 것으로 관찰되었다. 또한 이러한 탄질화물들의 석출에 의하여 세 강이 서로 다른 결정입도를 나타내는데, 결정입도는 Nb 및 Ti동시첨가강과 Nb단독첨가강이 서로 비슷하고, Ti단독첨가강이 가장 큰 것으로 나타났다.

AI킬드한 극저탄소강에 Ti, Nb등의탄화물 또는 질화물 형성원소를 첨가하면 우수한 디프드로잉특성과 내시효성을 나타내는 강판을 얻을 수 있다고 알려져 있으므로 본 연구에서는 Ti및 Nb를 단독 또는 동시에 첨가하거나 B를 추가로 첨가한 고강도 극저탄소 강판을 제조하여 각각의재결정 집합조직과 기계적 성질을 측정비교하여 보았다. 역극점도에 나타난 집합조직강도의 변화를 조사한 결과 어닐링처리에 의하여 (100)면 강도와 (111)면 강도의 변화가 가장 많이 나타난 것은 Nb첨가강이며, Nb와 Ti를 단독으로 첨가한 강과 Ti를 단독으로 첨가한 강은 변화정도가 비슷하였다.극점도를 비교하면,Nb와 Ti를 동시에 첨가한강, Nb를 단독으로 첨가한 강 그리고 Ti를 단독으로 첨가한강 모두 냉간 압연한 상태에서는112<110>집합조직이 발달하였으며 어닐링처리한 후에는 111<112>집합조직이 잘 발달하였다. 그러나 세 종류의 강간에 집합조직의 차이는 별로 없었다. 결정립도와 관계가 깊은 경도에서는 결정립도가 가장 작은 Nb 및 Ti동시첨가강에서 경도가 가장 높고, Nb단독첨가강, Ti단독첨가강의 순서로 감소하는 경향을 보였다.

수평자장을 건 Czochralski(HMCZ) 방법으로 자장강도(B)와 도가니 회전속도(C)가 실리콘 단결정의 산소편석에 미치는 영향에 대하여 연구하였다. B=2, 3, 4kG와 C=4-15rpm에서<100> 방향으로 성장시킨 57mm 직경의 단결정들 내의 산소분포는 대체로 축을 따라서 불균일하였고 톱니모양을 나타내었다. 종래의 CZ 방법과 비교할 때, 이러한 산소분포의 불균일성은 위 강도의 수평자장이 결정성장계면으로의 산소전달에 불안정한 요소로 작용했음을 나타낸다고 볼 수 있다. 반면에 C의 증가는 산소분포의 불균일성의 약화와 산소농도의 전반적인 증가를 유도하였다. 이 결과를 토대로 B=2kG에서 27-36ppma인 산소분포를 가진 단결정이 프로그램된 C에 의해서 얻어졌다. 소자제조공정을 모의한 열처리 과정에서 HMCZ 실리콘의 산소석출은 종래의 CZ 실리콘의 산소석출에 비해서 상대적으로 불균일하였고, as-grown 상태에서의 고르지 못한 HMCZ 실리콘의 산소분포가 주요 원인임이 밝혀졌다.

점토 광물로부터 황산 처리법을 이용하여 수화 황산 알루미늄을 제조하였다. 하동 카올린 을 황산 처리하였을 때 수화 황산 알루미늄 형성에 미치는 카올린의 하소 온도와 하소 시간, 산처리 반응 온도와 반응 시간 및 황산의 농도의 영향을 조사하였다. 또한, 황산 처리된 용액으로부터 수화 황산 알루미늄이 석출되는 최적 조건을 구하였으며, 생성된 수화 황산 알루미늄을 상온에서 1200˚C 까지 각각의 온도 구간에서 열처리한 분말에 대해서 XRD, TG-DTA, FT-IR, SEM, 입도 분석 및 불순물 분석을 하였다. 최적 조건 하에서, 카올린 중의 알루미나가 수화 황산 알루미늄으로 생성되는 전화율은 약 60%였고, XRD, TG-DTA, FT-IR 등의 분석 결과로 부터 생성된 수화 황산 알루미늄의 열분해 반응은 Al2(SO4)3·18H2O→Al2(SO4)3·6H2O→Al2(SO4)→ amorphous alumina→γ-alumina→δ-alumina→θ-alumina→α-alumina이었다. 또한 생성된 수화 황산 알루미늄을 1200˚C에서 하소 하여 얻은 알루미나 분말의 순도는 99.99%였다.

This study made use of the data about days and amount of precipitation from 1906 to 1985 measured by the 34 local weather stations under the Korea Meteorological Service. Based on these data for eighty years, the probaility as well as intensity of precipitation of the probability of probability and intensity of precipitation was studied. The findings of this study are as follows The annual average probability of precipitation is 30.5%. 45.0% probability in July was the highest and 22.0% probability in October the lowest. The annual average intensity of precipitation was 10.5㎜/day. 18.0 ㎜/day in August was most intense and 4.4 ㎜/day in January and December least intense. Finally, the precipitation intensity from January to August increased gradually and decreased from August to December.

The characteristics of the anomaly level, variability and distribution of monthly mean precipitation have been investigated at 4 different weather stations on Cheju Island, Korea. The results of this study are as follows : 1) The SE area of Cheju Island turns out to be the heavy rain area from February to July than the NW area of the island. The heavy rain area migrates from the SE area to the NE area during the period from August to January. 2) The rainy season, in which monthly mean precipitation is more than 180mm, appears in Cheju City and Sungsan from June to August, in Seoguipo from April to August, and in Daejung from June to July. On the other hand, the dry season, in which monthly mean precipitation is less than 100㎜, appears in Cheju City from October to May, in Sungsan from December to February in Seoguipo from October to February, and in Daejung from October to March. 3) The variability of precipitation on Cheju Island appears high during the 'Changma' spell and it is also high in autumn, particularly in October, and appears low in March and April. 4) The frequency of the anomaly level shows maximum not only on the normal level but the lower normal level and the upper normal level in monthly precipitation. The annual frequency distribution of each anomaly level shows maximum on the normal level, and the frequency of the lower normal level is a lot higher than the lower normal level. 5) The precipitation of the summer season acts as an important variable in deciding between the dry year and the moisture year. In particular, this applies to the large precipition of June in the moisture year and the small precipitation of July and August in the dry year.

광산배수에서 일어나는 철광물의 침전과 상전이는 배수 내 미량 원소의 거동에 매우 중요한 영향을 미친다. 그러나 주로 침전되는 철광물 중 하나인 페리하이드라이트의 침전과 이와 연관된 배수 내 미량원소의 거동은 거의 연구된 적이 없다. 본 연구는 문경 석탄광에서 발생하는 광산배수에서 pH 변화와 시간에 따른 광물침전 특성을 알아보고 이러한 광물의 침전과 연관된 미량원소의 거동 변화를 연구하였다. 침전되는 광물의 경우 pH 4에서는 침철석이 관찰되었고 pH 6 이상에서는 일부 6-line 페리하이드라이트가 혼재하는 2-line 페 리하이드라이트가 주로 동정되었다. 또한 pH 6 이상의 시료에서는 pH가 증가할수록 방해석의 침전이 추가적 으로 증가하는 것이 관찰되었다. 침철석의 경우 초기에 배수 내에서 페리하이드라이트로 침전된 후 낮은 pH의 영향으로 이 광물이 짧은 시간 내에 침철석으로 상전이 되었을 것으로 생각된다. 배수 내 미량 원소의 농도는 pH와 시간에 큰 영향을 받고 있음을 보여준다. 시간에 따라 배수 내의 Fe는 철광물의 침전에 의하여 급격한 농도의 감소를 보였는데 배수 내 산화음이온으로 존재하는 As의 경우도 pH 값에 상관없이 Fe와 같이 급격 한 농도의 감소를 보였다. 이러한 As의 농도 감소는 주로 페리하이드라이트와의 공침에 의한 것으로 여겨지며 낮은 pH의 배수에서는 침철석의 표면 흡착에 의한 것으로 생각된다. 이와는 달리 Cd, Co, Zn, Ni 등의 미량 원소의 농도는 광물의 종류에 상관없이 pH에 큰 영향을 받으며 pH 값이 낮을수록 배수 내 높은 농도로 존 재하였고 pH가 증가할수록 그 농도는 낮아졌다. 이러한 결과는 양이온으로 존재하는 미량원소의 거동의 경우 광물의 종류보다 pH에 따른 광물 표면의 전하 값에 더 큰 영향을 받고 있음을 지시한다.

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.

This study evaluates the quality of surface air temperature, relative humidity, and precipitation detection observed by 22 internet of thing (IoT)-based mini-weather stations in Seoul in 2020 summer. The automatic weather station (AWS) closest to each IoT-based station is used as reference. The IoT-based observations show surface air temperature and relative humidity are about 0.2-4.0°C higher and about -1--22% lower than the AWS observations, respectively. However, they exhibit temporal variability similar to the AWS observations on both diurnal and daily time scales, with daily correlations greater than 0.90 for temperature and 0.82 for relative humidity. Given these strong linear relationships, it show that temperature and relative humidity biases can be effectively corrected by applying a simple bias correction method. For IoT-based precipitation detection, we found that precipitation conductivity value (PCV) during precipitation events is well separated from that during non-precipitation events, providing a basis for distinguishing precipitation events from non-precipitation events. When the PCV threshold is set to 250 for precipitation detection, the highest critical success index and the bias score index close to one, suitable for operational precipitation detection, are obtained. These results demonstrate that IoT-based mini-weather stations can successfully measure surface air temperature, relative humidity, and precipitation detection with appropriate bias corrections.

Moving average precipitation provides periodic precipitation patterns by solving precipitation irregularities. However, due to uncertain moving average periods, excessive data smoothing occurs, which limit the possibility to analyze groundwater levels in the short term. Nonetheless, groundwater level fluctuation can compensate these limitations as it can calculate appropriately for unit time and verify the effect of precipitation penetrated into groundwater in a short time period. In this study, the characteristics of groundwater level were evaluated using groundwater level fluctuation to compensate for limitations of groundwater level analysis using moving average precipitation. In addition, the groundwater quality was investigated using the electrical conductivity fluctuation. The study site was Hyogyo-ri, Yesan-si, Chungcheongnam-do. Four observation wells and an automated weather system were used. The correlation between groundwater level fluctuation and precipitation (Case 1) and the correlation between groundwater level and moving average precipitation (Case 3) were compared. In the analysis for 1 hour data, the correlation coefficient of Case 1 was higher than that of Case 3, and in the analysis for 1 day data, the correlation coefficient of Case 3 was higher than that of Case 1.

We examined the ocean forcing, associated with the different trends in precipitation between North and South Korea, using GPCC V2018 precipitation and OISST V2 sea surface temperature (SST) for the recent thirty years of 1982-2011. As a result of linear regression, the precipitation trends in the monsoon (June and July) and post-monsoon (August and September) seasons were different between North and South Korea, respectively, with increased and decreased trends, during the both monsoon seasons. During the monsoon season, the results of detrended correlation and composite analysis showed the opposite relationships of precipitation with SSTs in the equatorial Pacific and Arctic Oceans between North and South Korea. It was identified that large-scale atmospheric circulation linked to ENSO can differently affect the Korean Peninsula. On the other hand, during the post-monsoon season, the correlation and composite patterns across the oceans in the Northern Hemisphere were generally similar for the two Koreas. It was suggested that near the ocean of the Korean Peninsula and the land surface forcings might affect the precipitation variability during the post-monsoon season, especially in North Korea.

In this study, a high-resolution daily data set of surface weather were obtained from PRIDE(PRISMbased Dynamic downscaling Error correction) model for the period of 2000 to 2017 over South Korea. The simulation data of five RCM(Regional Climate Model) were also used which are forced by the CMIP6 participating model UK-ESM as the boundary condition under historical period (2000-2014) and SSP 5-8.5 period (2015- 2017). Here we compared the RCM data and the PRIDE data with MK-PRISM data in terms of ensemble mean and ensemble spread. Results show that the PRIDE model effectively eliminates systematic error in the RCM up to 63.0% for daily average temperature, 72.2% for daily maximum temperature, 68.2% for daily minimum temperature, and 28.7% for daily precipitation when evaluated from the RMSE perspective. Overall, the ensemble spread of the PRIDE model is significantly decreased from 1.46°C to 0.36°C for daily temperature and from 2.0 mm/day to 0.72 mm/day for daily precipitation compared to the RCM ensemble spread, indicating that the largest systematic error of the RCMs is effectively removed in the PRIDE model.

Recently, a heavy rainfall with high spatial variation occurred frequently in the Korean Peninsula. The meteorological event that occurred in Busan on 3 May 2016 is characterized by heavy rain in a limited area. In order to clarify the reason of large spatial variation associated with mountain height and location of low level jet, several numerical experiments were carried out using the dynamic meteorological Weather Research and Forecasting (WRF) model. In this case study, the raised topography of Mount Geumjeong increased a barrier effect and air uplifting due to topographic forcing on the windward side. As a result, wind speed reduced and precipitation increased. In contrast, on the downwind side, the wind speed was slightly faster and since the total amount of water vapor is limited, the precipitation on the downwind side reduced. Numerical experiments on shifting the location of the lower jet demonstrated that if the lower jet is close to the mountain, its core becomes higher due to the effect of friction. Additionally, the water vapor convergence around the mountain increased and eventually the precipitation also increased in the area near the mountain. Hence, the location information of the lower jet is an important factor for accurately predicting precipitation.