• Ocean and Polar Research
• /
• v.28 no.3
• /
• pp.305-315
• /
• 2006

In order to examine the transition of zooplankton community by the Saemangeum sea dyke, the temporal and spatial distribution of zooplankton community with relation to environmental variables was investigated using data collected in 2004 and 2005. Sixty-one zooplankton taxa were identified. Average abundance (except Noctiluca scintiliam) ranged from 236 to 1810 indiv. $m^{-3}$, and was the highest in May 2005 and the lowest in february 2005. Dominant species were Acartia hongi and Paracalanus indicus, and cirripedia nauplii and zoea were dominant groups. After the closure of the 4th sea dyke, brackish species such as Tortanus derjugini and Pseudodiaptomus inopinus are widely distributed while the abundance of N. scintillans decreased in the northern area inside the dyke. In canonical correspondence analysis (CCA) for examining the relationships among zooplankton, stations and environmental variables, the northern area inside the dyke was distinguished from the other areas and was represented by Acartia spp, and brackish copepods.; Also, this area was characterized by high chlorophyll a concentration and COD, and low diversity.

• Asian Journal of Atmospheric Environment
• /
• v.7 no.4
• /
• pp.209-216
• /
• 2013

This study focused on a comprehensive and detailed interpretation for the springtime air quality influenced by both artificial (particulate matter (PM) and asbestos) and biological (pollen) sources in Fukuoka Prefecture, Japan. An intensive measurement of PM was conducted at four characteristic sites (i.e., a heavy traffic area, a residential area, an industrial area, and a desolate area) in the Fukuoka Prefecture during spring of 2007. Analysis of major ionic species in $PM_{2.5}$ was performed by an Ion Chromatography, and asbestos and pollen were identified by Scanning Electron Microscopy with an energy dispersive X-ray spectrometer (EDX). $PM_{2.5}$ concentration ($65.3{\mu}gm^{-3}$) measured in an industrial area (site C) was extraordinarily high compared to those monitored in other areas; it greatly exceeded the Japan's $PM_{2.5}$ criteria (a daily average of $35{\mu}gm^{-3}$). NOAA's HYSPLIT dispersion model suggests that this high level of $PM_{2.5}$ monitored at site C is unlikely to affect the Asian continent. The ambient concentrations of $PM_{2.5}$-related anions ($NH_4{^+}$, $NO_3{^-}$, and $SO_4{^{2-}}$) and their relative contributions to $PM_{2.5}$ were also investigated in four study areas. The concentrations of these major water-soluble ions exhibit not only strong spatial dependence but also different ratios to each other. Asbestos fiber (crocidolite and amosite) concentration values changed in the range of 2.5 to 14.4 f per liter of air. The number of pollen grains showed that Cedar ranked higher in concentration than other types of pollen, with the maximum concentration at site A.

• Journal of Korean Society of Rural Planning
• /
• v.19 no.4
• /
• pp.319-327
• /
• 2013

The objective of this research was to develop a relational database management system(RDBMS) to collect, manage and analyze data on agricultural non-point source(NPS) pollution. The system consists of the relational database for agricultural NPS data and data process modules. The data process modules were composed of four sub-modules for data input, management, analysis, and output. The data collected from the watershed of the upper Cheongmi stream and Geunsam-Ri were used in this study. The database was constructed using Apache Derby with meteorological, hydrological, water quality, and soil characteristics. Agricultural NPS-Data Management System(ANPS-DMS) was developed using Oracle Java. The system developed in this study can deal with a variety of agricultural NPS data and is expected to provide an appropriate data management tool for agricultural NPS studies.

• Korean Journal of Ecology and Environment
• /
• v.51 no.1
• /
• pp.135-147
• /
• 2018

In order to investigate the runoff characteristics of nonpoint source pollutants in the Lake Doam watershed, water quality and flow rate were monitored for 38-rainfall events from 2009 to 2016. The EMC values of SS, COD, TN and TP were in the range of 33~2,169, 3.5~56.9, 0.09~7.65 and $0.06{\sim}2.21mg\;L^{-1}$, respectively. As a result of analyzing the effect of rainfall factor on the nonpoint source pollutant load, EMCs of SS, COD and TP showed a statistically significant correlation with rainfall (RA) (p<0.01) and SS showed highly significant correlation with maximum rainfall intensity (MRI, R=0.48). The load ranges of SS, COD, TN and TP were 10.4~11,984.6, 1.1~724.4, 0.6~51.6 and $0.03{\sim}22.85ton\;event^{-1}$, respectively, showing large variation depending on the characteristics of rainfall events. The effect of rainfall on the load was analyzed. SS, COD and TP showed a positive correlation, but TN did not show any significant correlation. The annual load of SS was the highest with $88,645tons\;year^{-1}$ in 2011 when rainfall was the highest with 1,669 mm. The result of impact analysis of nonpoint source pollution reduction project and land-use change on runoff load showed that pollutant load significantly reduced from 2009 to 2014 but SS and TP loads were increased from 2014 to 2016 due to increase in construction area. Therefore, we suggested that nonpoint source pollution abatement plan should be continued to reduce the soil loss and pollutants during rainfall, and countermeasures to reduce nonpoint source pollution due to construction need to be established.

• Korean Journal of Food Science and Technology
• /
• v.19 no.2
• /
• pp.171-175
• /
• 1987

An objective method for the evaluation of eating quality of cooked noodle was established by using a specially designed shear extrusion cell of Rheometer. From the force-distance curve, the maximum force, initial force, extrusion work, and the slope were determined. In a test with Korean dried noodles made from 17 types of Australian wheat flour, the maximum and initial forces and extrusion work could represent the firm-soft and chewy character, which govern mostly the preference of cooked noodle. On the other hand, the slope could distinguish the textural changes of cooked noodle during the storage after cooking. The parameters showed significant correlation with the protein content, water absorption, development time and extensibility of flour, but no correlation was obtained with the maximum viscosity of viscogram. For the estimation of textural preference, the correlation coefficient obtained from a multiple regression analysis using the maximum viscosity of viscogram and the maximum force of shear extrusion test as the two independent variables was not significantly higher than the coefficient obtained from a simple regression with the maximum force only.

• Journal of Wetlands Research
• /
• v.19 no.3
• /
• pp.279-286
• /
• 2017

In this study, the characteristics of non-point source pollution runoff and the possibility of using new unit load were investigated by using pollutant load based on monitoring data considering baseflow. For this purpose, the components of hydrograph were separated by using digital filter method and the numerical integration method was applied to calculate the non-point source pollutant load for nine rainfall events in Juwon river in the Geum River basin. As a result of this study, the mean contribution rate of non-point pollutant was 31.34% for BOD, 58.94% for T-N, and 50.42% for T-P and BOD was more influenced by baseflow pollutant. Also, it was analyzed the pollutant load using the new unit load is closer to the observation load than the old unit load. This result implies that it is necessary to manage not only pollutant load due to direct runoff but also pollutant load due to baseflow runoff for efficient water quality management of the watershed.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.59 no.3
• /
• pp.71-81
• /
• 2017

Organic dust generated inside livestock facilities includes toxic organic matters such as bacteria and endotoxin. Dust can cause respiratory disease for worker and livestock, and consequently, degradation of welfare and productivity. Influence of dust on livestock workers has been studied since the 1970s. However, exposure limit for cattle farmer has not been established, unlike exposure limit for pig and poultry farmer. Furthermore, study on air quality inside livestock facility, especially inside dairy farm has been rarely conducted in Korea. In this study, dust concentration of TSP, PM10, inhalable and respirable dust has been monitored in the commercial dairy house according to location and working activities. Bedding material inside the stall was one of the major sources of dust. The amount of dust was related to water content level of the bedding material. Dust concentration was relatively high in leeward location, and the highest concentration was measured during TMR mixing process. The maximum value of inhalable dust concentration was 29.1 times higher than the reference value as fine particles drop to the TMR mixer. Dust generated by TMR mixing was presumed to decrease by adjusting moisture and drop height of feed.

• Journal of the Korean Society of Food Culture
• /
• v.12 no.4
• /
• pp.383-389
• /
• 1997

This study was carried out in order to analyze the changes in nitrogen containing taste compounds of traditional Korean soy sauce with varying Meju concentrations (Meju-water ratios of 1:4 and 1.3:4) and ripening periods (up to 2 years), and to investigate correlation between sensory characteristics and taste compound contents via contents assay and sensory evaluation of soy sauce samples. Nitrogen compound contents were higher in 1.3:4 than in 1:4 for all nitrogen compounds. Free amino acid contents were highest in soy sauce ripened for 210 days. Among amino acids, glutamic acid was highest concentration. Nucleotides and their related compound contents did not vary with concentrations and were highest in the sample ripened for 210 days. In direct sensory evaluation of soy sauce, overall taste preference showed positive correlation to sweet taste. Likewise, overall taste preference showed positive correlation to umami, nutty, sweet taste in the sensory evaluation of seaweed soup seasoned with soy sauce. Sensory evaluation score was higher in 1.3:4 than in 1:4. According to the correlation assay of taste compound contents and sensory evaluations, nitrogen compounds (such as amino type nitrogen), amino acids (such as glutamic acid, aspartic acid, and lysine, and etc.), nucleotides (such as AMP, IMP, and etc) had significant influence on the sensory characteristics of soy sauce, and therefore we can conclude that these compounds affect the taste and quality of soy sauce.

• International Journal of Knowledge Content Development & Technology
• /
• v.7 no.1
• /
• pp.57-78
• /
• 2017

There are several statistical classification algorithms available for land use/land cover classification. However, each has a certain bias or compromise. Some methods like the parallel piped approach in supervised classification, cannot classify continuous regions within a feature. On the other hand, while unsupervised classification method takes maximum advantage of spectral variability in an image, the maximally separable clusters in spectral space may not do much for our perception of important classes in a given study area. In this research, the output of an ANN algorithm was compared with the Possibilistic c-Means an improvement of the fuzzy c-Means on both moderate resolutions Landsat8 and a high resolution Formosat 2 images. The Formosat 2 image comes with an 8m spectral resolution on the multispectral data. This multispectral image data was resampled to 10m in order to maintain a uniform ratio of 1:3 against Landsat 8 image. Six classes were chosen for analysis including: Dense forest, eucalyptus, water, grassland, wheat and riverine sand. Using a standard false color composite (FCC), the six features reflected differently in the infrared region with wheat producing the brightest pixel values. Signature collection per class was therefore easily obtained for all classifications. The output of both ANN and FCM, were analyzed separately for accuracy and an error matrix generated to assess the quality and accuracy of the classification algorithms. When you compare the results of the two methods on a per-class-basis, ANN had a crisper output compared to PCM which yielded clusters with pixels especially on the moderate resolution Landsat 8 imagery.

• Journal of Wetlands Research
• /
• v.16 no.3
• /
• pp.371-381
• /
• 2014

Recently the water quality management policy gives priority to management the point source. Non-point pollution source is difficult to comprehend because those don't have certain outflow point and emission. There are many development and research about BMPs for manage the Non-point pollution source. Various methods of removal efficiency are presented for assessment of Best Management Practices (BMPs). In this study, retention time have effect on removal efficiency based on monitoring results of Grassed Swale is studied. Also, Compare a difference according to various methods of Grassed Swale removal efficiency. The result of removal efficiency analysis depending on retention time of Grassed Swale, removal efficiency is higher as retention time increases. To obtain a stable removal efficiency of Grassed Swale, retention time of Grassed Swale should be secure.