• Korean Journal of Hydrosciences
• /
• v.7
• /
• pp.87-106
• /
• 1996

A precipitation change scenario in Korea due to atmospheric $ doubling has been provided with a mixed method (Rebinson and Finkelstein, 1991) based on the simulated precipitation data by three GCM(CCC, UI, and GFDL GCM) experiments. Through the analysis the precipitation change by atmospheric $ doubing can be summarized as follows : Korea may have more precipitation as much as 25mm/yr during spring season and more less 50 mm/yr during summer and autumn, respectively. In the contrary Korea may have less rainfall as much as 13 mm/yr during winter. In terms of percentage with respect to current climatological value of precipitation Korea may have more rain as much as 10%, 13% and 24%, respectively, for spring, summer and autumn than current climate. However, Korea may have less precipitation during winter than current climatological average.

• Transactions of Materials Processing
• /
• v.6 no.2
• /
• pp.102-109
• /
• 1997

The multistage deformation and stress relaxation were carried out to investigate the strain induced precipitation by torsion tests in the range of 1000~80$0^{\circ}C$, 0.05~5/sec for V-microalloyed steel. The starting temperature and time for the initiation of precipitation were determined by stress relaxation tests. The distribution of precipitates increased, as the strain rate increased and the mean size of precipitates was found to be about 10~30nm. The precipitation starting time$(P_s)$ decreased with increasing strain rate and the amount of pre-strain. The effect of deformation conditions on the no-recrystallization temperature$(T_nr)$ was also determined in the multistage deformation. $T_nr$ Tnr decreased with increasing the strain and strain rate. In the controlled rolling simulation, grain refinement and precipitation hardening effects could be achieved by the alternative large pass strain at the latter half pass stage under the condition of low temperature and high strain rate.

• Journal of the Korean Ceramic Society
• /
• v.34 no.12
• /
• pp.1247-1253
• /
• 1997

Sinter-active yttria powders were prepared by a solution precipitation with using a self-decomposing precipitation agent NH2CONH2(urea). The cold-pressed powders can be sintered to full density and the microstructure of grains less than 200 nm at a temperature as low as 120$0^{\circ}C$. The activity of the yttria powder has been controlled by varying nucleation conditions during precipitation and by minimizing formation of aggregates. The type of precursor is decisive in preparation of a sinter-active oxide powder, and urea is desirable as a precipitation agent for an active yttrium oxide powder.

• Bulletin of the Korean Chemical Society
• /
• v.23 no.3
• /
• pp.369-373
• /
• 2002

The liquid phase oxidation of p-xylene has been carried out with oxygen-enriched gas, and the manganese component was precipitated probably via over-oxidation to $Mn^{4+}$. The precipitation increased with rising oxygen concentration in the reaction gas and occurred mainly in the later part of the oxidation. The activity of the reaction decreased, and the blackening of the product and side reactions to carbon dioxide increased with the degree of precipitation. Precipitation can be decreased with the addition of metal ions, such as cerium, chromium and iron.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
• /
• 2003.04a
• /
• pp.207-210
• /
• 2003

In this research analyzed the daily precipitation depths of 4 climatic stations in south eastern part of Korea. It aimed to present some indices for regionalization of the area. The items are frequency distributions of precipitation quantity and days and the longest days less than class limit set up by arithmetic differences. The regression analysis between class value and frequency show very good correlation coefficients better than 0.99 which are cubic equation for the precipitation, exponential equation for the precipitation days, and first degree equation for the longest day less than class limit.

• Atmosphere
• /
• v.24 no.3
• /
• pp.433-444
• /
• 2014

Although the Radar-AWS Rainrate (RAR) calculation system operated by Korea Meteorological Administration estimated precipitation using 2-dimensional composite components of single polarization radars, this system has several limitations in estimating the precipitation accurately. To to overcome limitations of the RAR system, the Korea Meteorological Administration developed and operated the RMQ (Radar-based Multi-sensor Quantitative Precipitation Estimation) system, the improved version of NMQ (National Mosaic and Multi-sensor Quantitative Precipitation Estimation) system of NSSL (National Severe Storms Laboratory) for the Korean Peninsula. This study introduced the RMQ system domestically for the first time and verified the precipitation estimation performance of the RMQ system. The RMQ system consists of 4 main parts as the process of handling the single radar data, merging 3D reflectivity, QPE, and displaying result images. The first process (handling of the single radar data) has the pre-process of a radar data (transformation of data format and quality control), the production of a vertical profile of reflectivity and the correction of bright-band, and the conduction of hydrid scan reflectivity. The next process (merger of 3D reflectivity) produces the 3D composite reflectivity field after correcting the quality controlled single radar reflectivity. The QPE process classifies the precipitation types using multi-sensor information and estimates quantitative precipitation using several Z-R relationships which are proper for precipitation types. This process also corrects the precipitation using the AWS position with local gauge correction technique. The last process displays the final results transformed into images in the web-site. This study also estimated the accuracy of the RMQ system with five events in 2012 summer season and compared the results of the RAR (Radar-AWS Rainrate) and RMQ systems. The RMQ system ($2.36mm\;hr^{-1}$ in RMSE on average) is superior to the RAR system ($8.33mm\;hr^{-1}$ in RMSE) and improved by 73.25% in RMSE and 25.56% in correlation coefficient on average. The precipitation composite field images produced by the RMQ system are almost identical to the AWS (Automatic Weather Statioin) images. Therefore, the RMQ system has contributed to improve the accuracy of precipitation estimation using weather radars and operation of the RMQ system in the work field in future enables to cope with the extreme weather conditions actively.

• Korean Journal of Environmental Agriculture
• /
• v.25 no.1
• /
• pp.1-6
• /
• 2006

This study was carried out to investigate yearly change in the precipitation component and the source strength to acid precipitation at Iksan area from 1997 to 2003. The average ratio of acid precipitation was 70.0% in 1997, 56.3% in 1998 and 36.4% in 2003. On the other hand, it ranged from 6.9 to 19.2% when precipitation was less from 1999 to 2002. The average annual wet depositions of major ionic component in precipitation were calculated by multiplying equivalent concentration by precipitation. The order of major anion component in precipitation was ${SO_4}^{2-}>Cl^->{NO_3}^-$. On the other hand, the concentration of cation component were ${Ca_2}^+>Na^+>{NH_4}^+>{Mg_2}^+>K^+$ in order. The negative correlation was shown between pH and ionic component in precipitation except for ${Ca_2}^+\;and\;Na^+$. The correlation coefficient between pH and ${SO_4}^{2-}$ was highly significant as -0.508, which suggests that ${SO_4}^{2-}$ played important role in increasing the acidity of precipitation. Also the anions such as ${SO_4}^{2-}\;and\;{NO_3}^-$ were highly significant with cations such as ${Ca_2}^+,\;{Mg_2}^+,\;K^+,\;{NH_4}^+\;and\;Na^+$. As a result though pH was enable to use the acidity index of precipitation in somewhere, evaluating only pH in precipitation was insufficient as the index to establish corresponding strategy for acid rain.

• Journal of the Korean earth science society
• /
• v.26 no.5
• /
• pp.417-428
• /
• 2005

The seasonal variation and frequency of precipitation phenomenon of the Korean Peninsula in summer show strong local weather phenomena because of its topographical and geographical factors in the northeastern area of Asia. The characteristics of the prevailing weather patterns in summer precipitation in Korea have great influences on the variation patterns and the appearances over a ten-day period during the summer precipitation. The purpose of this paper is to induce variation patterns over a period 10 days during the summer precipitation, clarify the variations of their space scales, and study the subdivision of precipitation regions in Korea according to the combinations of precipitation amounts and variation pattern during the period, using the mean values during the years $1991\~2003$ at 78 stations in Korea. The classified precipitation of a period of 10 days of summer precipitation, and the principal component vector and the amplitude coefficient by the principal component analysis were used for this study. The characteristics of variation pattern over the ten-day period can be chiefly divided into two categories and the accumulated contributory rate of these is $64.3\%$. The variation patterns of summer precipitation during period of 10 days in Korea are classified into 9 types from A to K. In addition, regional divisions of summer precipitation in Korea can be classified into 17 types.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.16 no.3
• /
• pp.147-163
• /
• 2013

The purpose of this study is to compare precipitation distributions in precipitation data sets over South Korea produced by three interpolation methods. The differences of precipitation caused by interpolation methods is an important information when the interpolated precipitation data sets were used in researches such as ecological and hydrological modeling as well as regional climate impact studies. In this study, the precipitation data sets were produced by IDW(Inverse Distance Weighting) and Cokriging in this study and the PRISM(Precipitation-elevation Regressions on Independent Slopes Model) data set obtained from Climate Change Information Center of Korea. The spatial resolution of the precipitation data is 1km. As a result, there was a great precipitation difference caused by interpolation methods in data of mountainous watersheds in general. Especially the difference of monthly precipitation was 10~20% or more in the mountainous watersheds near the Military Demarcation Line dividing North and South Korea, Mt. Sobaik, Mt. Worak, Mt. Deogyu, Mt. Jiri and Taeback Mountain Range. It means that a final result of a research can be affected by adopted interpolation method when an interpolated precipitation data set is used in the research for the these study sites.

• Journal of Korean Society of Forest Science
• /
• v.87 no.4
• /
• pp.562-570
• /
• 1998

This study was carried out to investigate the percentage of the net precipitation in Korean Pine(Pious koraiensis S. et Z.) stand separated by monthly, annually, the amount of rainfall and distance away from stem, at University of Sangji, Wonju, Kangwon province, during the period from April 1993 to October 1996. The average percentage of net precipitation showed 55.7% of the total precipitation, the minimum percentage of net precipitation was 45.7% in May and the maximum percentage was 62.9% in July. The average percentage of net precipitation at 0.3m far away from the stem showed 45.9% of the total precipitation and showed 60.3% at 0.6m distance. The average percentage of net precipitation within precipitation of 10mm and less showed 37.5% of tatoal precipitation and showed 70.9% within precipitation of 100mm and over. The relationship between percentage of through-fall and total precipitation were highly significant. It was estimated to be $Y_{(%)}=12.35LnX_{(mm)}+9.45$($R^2=0.735^{(**)}$). The relationship between stemflow and rainfall was estimated to be $Y_{({\ell})}=0.27X_{(mm)}-1.83$($R^2=0.921^{(**)}$). The relationship between percentage of net precipitation and total precipitation was estimated to be $Y_{(%)}=13.79LnX_{(mm)}+4.56$($R^2=0.946^{(**)}$) with significance at 1% level.