• Title/Summary/Keyword: spring constant

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Studies on the Various Utilization of Microbial Formulation for the Production of Vegetable Crops (원예작물(園藝作物) 생산성(生産性)에 미치는 미생물(微生物) 제제(製劑)의 복합적(複合的) 이용연구(利用硏究))

  • Kim, Kwang-Sik;Kim, Young-Woong;Choi, Young-Soo
    • Korean Journal of Soil Science and Fertilizer
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    • v.28 no.2
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    • pp.191-205
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    • 1995
  • The carrier materials used for the development of bacterial inoculants to be effective in field were made with various carrier materials of two major forms, alginate bead and powder inoculants. Inoculants were prepared after mixing those carrier materials with Pseudomonas fluorescens SSL3 and Bacillus subtilis B5, and the treatment effects of each inoculants was investigated on cucumber, tomato, pepper and potato. Survival density of SSL3 and B5 in various carrier materials for duration of storage and the bead inoculants were better than the powder. In the powders, survival rate increased in carrier materials treated 5% skimilk. The growth condition of microorganisms in carrier materials is good at powder. When they were preserved in the long period, contamination is problem. Scanning(200 to 600nm) of the P. fluorescens SSL3 supernatant in centrifuged MKB broth incubated for 48h had two main peaks, pyochelin(300nm) and pyoverdin(400nm). The potato yield in field experiments of spring, treated with bead formulas showed increase of 22~29% in whole potato breeds as compared with control, because the bead formulas degraded, and released the antibiotic microorganisms in slow and constant rate. In the pot experiment, there were significant difference in soil, wheatbran, and bead formed wheatbran.

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Flour Characteristics and End-Use Quality of Korean Wheat Cultivars I. Flour Characteristics (국산밀 품종의 밀가루 특성과 가공적성 I. 밀가루 특성)

  • Kang, Chon-Sik;Park, Chul Soo;Park, Jong-Chul;Kim, Hag-Sin;Cheong, Young-Keun;Kim, Kyung-Ho;Kim, Ki-Jong;Park, Ki-Hoon;Kim, Jung-Gon
    • Korean Journal of Breeding Science
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    • v.42 no.1
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    • pp.61-74
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    • 2010
  • Flour characteristics of 26 Korean wheat cultivars (KWC) were evaluated to assess consumer satisfaction with 6 imported wheat and 5 commercial wheat flours. In physical characteristics of flours, Particle size of SW (soft white) was similar to Dahong, Geuru, Milsung, Olgeuru, Seodun, Tapdong, and Uri. DNS (dark northern spring) was similar to Jeokjoong, Joeun, Sukang, and Younbaek. Ash and damaged starch content of KWC was similar to that of imported wheat and commercial flour (Com), but lightness value ($L^*$) were lower than those of Com. Particle size of flour positively correlated with ash, damaged starch, and lightness value ($L^*$) of flour. L ($^*$) value of flour negatively correlated with ash, damaged starch, and particle size of flour. In protein characteristics, Protein content of SW and commercial flour for baking cookie (Com5) was similar to Baekjoong, Jinpoom, Milsung, Olgeuru, Saeol, and Uri. HRW (hard red winter) and commercial flour for baking bread (Com3) was similar to Hanbaek, Joeun, Jopoom, Keumkang, and Sukang. SDS sedimentation volume based on a constant flour weight (SDSS) of KWC was lower than those of DNS and Com3. Mixograph water absorption of KWC similar to imported wheat and Com. Mixing time and maximum dough height (Hm) of KWC were higher than those of imported wheat and Com. Protein content positively correlated with SDS sedimentation volume and water absorption of mixograph. SDS-sedimentation volume positively correlated with water absorption of mixograph, mixing time of mixograph, and height of dough development. In starch characteristics of flour, ASW (Australian standard white) flours showed lower amylose content, higher peak viscosity, breakdown, and setback in pasting properties than other flours. KWV flours showed higher amylose content and lower peak viscosity than those of AH (Australian hard), ASW, commercial flour for making white salted noodles (Com1), commercial flour for making yellow alkaline noodles (Com2), and Com3.

Evaluation of bias and uncertainty in snow depth reanalysis data over South Korea (한반도 적설심 재분석자료의 오차 및 불확실성 평가)

  • Jeon, Hyunho;Lee, Seulchan;Lee, Yangwon;Kim, Jinsoo;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.56 no.9
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    • pp.543-551
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    • 2023
  • Snow is an essential climate factor that affects the climate system and surface energy balance, and it also has a crucial role in water balance by providing solid water stored during the winter for spring runoff and groundwater recharge. In this study, statistical analysis of Local Data Assimilation and Prediction System (LDAPS), Modern.-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2), and ERA5-Land snow depth data were used to evaluate the applicability in South Korea. The statistical analysis between the Automated Synoptic Observing System (ASOS) ground observation data provided by the Korea Meteorological Administration (KMA) and the reanalysis data showed that LDAPS and ERA5-Land were highly correlated with a correlation coefficient of more than 0.69, but LDAPS showed a large error with an RMSE of 0.79 m. In the case of MERRA-2, the correlation coefficient was lower at 0.17 because the constant value was estimated continuously for some periods, which did not adequately simulate the increase and decrease trend between data. The statistical analysis of LDAPS and ASOS showed high and low performance in the nearby Gangwon Province, where the average snowfall is relatively high, and in the southern region, where the average snowfall is low, respectively. Finally, the error variance between the four independent snow depth data used in this study was calculated through triple collocation (TC), and a merged snow depth data was produced through weighting factors. The reanalyzed data showed the highest error variance in the order of LDAPS, MERRA-2, and ERA5-Land, and LDAPS was given a lower weighting factor due to its higher error variance. In addition, the spatial distribution of ERA5-Land snow depth data showed less variability, so the TC-merged snow depth data showed a similar spatial distribution to MERRA-2, which has a low spatial resolution. Considering the correlation, error, and uncertainty of the data, the ERA5-Land data is suitable for snow-related analysis in South Korea. In addition, it is expected that LDAPS data, which is highly correlated with other data but tends to be overestimated, can be actively utilized for high-resolution representation of regional and climatic diversity if appropriate corrections are performed.