Chironomid communities are indicators of water pollution because of their ability to thrive under freshwater conditions. However, it is difficult to distinguish between chironomid larvae based on morphology. DNA barcoding, based on nucleotide sequences of marker genes, can be used to identify chironomid larvae. Samples of chironomid larvae were collected from Gwangju Stream and Pungyeongjeong Stream, tributaries of the Yeongsan River in South Korea. We identified 3 subfamilies, 13 genera, 16 species, and 1 cryptic species. There were 7 genera and 10 species from the subfamily Chironominae, 5 genera and 5 species from subfamily Orthocladiinae, 1 genus and 1 species from subfamily Tanipodinae, and the cryptic chironomid species of the family Chironomidae. There were 21 individuals from, 7 species and 1 cryptic species from the Gwangju Stream and 24 individuals, belonging to 10 species from the Pungyeongjeong Stream. The only species detected in both streams was Cricotopus bicinctus. The relationship between water quality and the species detected was difficult to explain, but the number of species showed a tendency to increase at sites where water quality was poor. Additional investigations and studies are needed to understand the relationship between water quality and the chironomid species occurring in these two streams.

This study investigates the microstructure and wear properties of cermet (ceramic + metal) coating materials manufactured using high velocity oxygen fuel (HVOF) process. Three types of HVOF coating layers are formed by depositing WC-12Co, WC-20Cr-7Ni, and Cr3C2-20NiCr (wt.%) powders on S45C steel substrate. The porosities of the coating layers are 1 ± 0.5% for all three specimens. Microstructural analysis confirms the formation of second carbide phases of W2C, Co6W6C, and Cr7C3 owing to decarburizing of WC phases on WC-based coating layers. In the case of WC-12Co coating, which has a high ratio of W2C phase with high brittleness, the interface property between the carbide and the metal binder slightly decreases. In the Cr3C2-20CrNi coating layer, decarburizing almost does not occur, but fine cavities exist between the splats. The wear loss occurs in the descending order of Cr3C2-20NiCr, WC-12Co, and WC-20Cr-7Ni, where WC-20Cr-7Ni achieves the highest wear resistance property. It can be inferred that the ratio of the carbide and the binding properties between carbide–binder and binder–binder in a cermet coating material manufactured with HVOF as the primary factors determine the wear properties of the cermet coating material.

광주천은 무등산에서 발원하여 광주광역시를 통과한 후 영산강과 만나는 길이 약 20km의 지방하천이다. 생태하천 복원사업 등을 통해 부족한 수량을 확보하기 위해 하천유지 용수 명목으로 주암호 호소수, 영산강 하천수, 그리고 하수 처리장 방류수 재처리수 등이 다량 방류되고 있다. 그러나 이에 대한 생태학적 영향 조사는 거의 이루어지지 않았다. 환경부 주관의 전국자연환경조사나 수생태계 건강성 평가 에 따른 대규모 생태조사시 광주천은 2~3지점 포함되어 조 사되고 있으며, 과거 광주천의 저서성 대형무척추동물에 대 한 분포조사는 거의 전무한 실정이다. 더욱이 세계적인 물 관리 패러다임이 생물․ 생태학적으로 변화함에 따라 광주천 에 대한 수생태계 건강성 평가 연구를 시작하게 되었고 그 일환으로 저서성 대형무척추동물 분포조사를 실시하였 다. 본 조사는 2014년 10월부터 2015년 4월까지 총 3회에 걸쳐 현장조사 및 저서성 대형무척추동물 분포조사를 수행 하였다. 1차 조사는 2014년 10월 30일, 2차 조사는 2015년 2월 4일, 3차 조사는 2015년 4월 22일 실시하였고 조사대상 지점은 교란지점을 중심으로 상류부터 5개 지점을 선정하 였다. 지점 1~3은 상류지역으로 하수처리장 방류수 재처리 수 방류구 , 주암호 호소수 방류구, 영산강 하천수 방류구가 설치되어 있다. 지점 4는 중류지역으로 다른 하천이 유입되 는 지점이다. 지점 5는 하류지점으로 영산강과 합류되는 지 점이다. 대조군으로는 광주천이 발원하는 무등산 제2수원 지 상류 계곡 한 지점을 선정하여 조사하였다. 조사결과 총 4문 7강 16목 31과 50종이 확인되었다. 곤충 류가 39종 (88.1%), 비곤충류가 11종 (11.9%)으로 나타났 다. 곤충류는 하루살이목(Ephemeroptera)이 48.1%, 날도래 목(Tricoptera)이 28.3%를 차지하였고 파리목(Dipteria), 딱 정벌레목(Coleoptera) 순이었다. 평균 개체수는 지점 1에서 586개체, 지점 2에서 348개체, 지점 3은 187개체, 지점 4는 184개체, 지점 5에서는 58개체였다. 분류된 종과 개체수에 대한 군집분석 결과, 각 지점별 우점종은 지점 1과 2에서는 부채하루살이(Epeorus pellusidus Brodsky), 지점 3에서는 꼬마줄날도래(Cheumatopsyche brevilineata Iwata), 지점 4 와 5에서는 개똥하루살이(Baetis fuscatus Linnaeus)로 나 타났다. 우점도지수(DI)는 평균 0.62로 5개 지점에서 모두 비슷한 결과를 나타내었다. 종다양도지수(H')는 평균 2.18 로 4, 5지점에서 다소 낮게 분석되었다. 종풍부도지수(RI) 는 평균 2.33으로 지점 1에서 평균 3.35, 지점 5에서 1.14로 상류에서 하류로 내려갈수록 낮아지는 경향을 보였다. 균등 도지수(J')는 평균 0.62를 나타내었고 상류에서 하류로 갈수 록 낮아지기는 하나 그 차가 크지 않았다. 하천 수질상태를 직접적으로 판단할 수는 없지만 간접적으로 유추해 볼 수 있는 비내성 범주 지수(EPT)를 조사한 결과 지점 1에서 86.0%, 지점 2는 85.4%, 지점 3은 61.5%, 지점 4는 54.0% 그리고 지점 5에서 46.9%를 나타내었다. 본 조사는 광주천에 대한 향후 지속적인 수생태 건강성 평가연구의 일환으로 지방하천에 대한 체계적인 생물조사 를 바탕으로 생태학적 관점에서 하천에 대한 수질관리를 목표로 하고 있다. 또한 기후변화와 저서성 대형무척추동물 의 분포와의 관계를 파악할 수 있을 것이다. 특히 유하거리 가 짧고 도시의 불투수층의 증가로 인해 하천 수량이 줄어 들며 다양한 인위적인 교란요인이 상존하는 광주천에서는 이화학적 수질조사는 그 한계가 있어 저서성 대형무척추동 물을 포함한 다양한 수서생물 이용한 생태학적 수질조사가 필요할 것으로 생각된다.

The purpose of this study is to investigate the relationship of fine dust PM10 and heavy metals in PM10 in Asian dust flowing into Gwangju from 2013 to 2018. The migration pathways of Asian dust was analyzed by backward trajectory analysis using HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory) model, and the change of heavy metal concentration and heavy metal content per 1 μg/m3 of fine dust PM10 in Gwangju area were analyzed. Also, the characteristics of the heavy metals were analyzed using the correlation between the heavy metals in PM10. As a result of analyzing Asian dust entering the Gwangju region for 6 years, the average concentration of PM10 measured in Asian dust was 148 μg/m3, which was about 4.5 times higher than in non-Asian dust, 33 μg/m3. A total of 13 Asian dust flowed into the Gwangju during 6 years, and high concentration of PM10 and heavy metals in that were analyzed in the C path flowing through the Gobi/Loess Plateau-Korean Peninsula. As a result of the correlation analysis, in case of Asian dust, there was a high correlation between soil components in heavy metals, so Asian dust seems to have a large external inflow. On the other hand, in case of non-Asian dust, the correlation between find dust PM10 and artificial heavy metal components was high, indicating that the influence of industrial activities in Gwangju area was high.

The objective of this study was to estimate the trends of air quality in the study area by analyzing monthly and seasonal concentration trends obtained from sampled data. To this aim, the mass concentrations of PM2.5 in the air were analyzed, as well as those of metals, ions, and total carbon within the PM2.5. The mean concentration of PM2.5 was 22.7 ㎍/㎥. The mass composition of PM2.5 was as follows: 31.1% of ionic species, 2.2% of metallic species, and 26.7% of carbonic species (EC and OC). Ionic species, especially sulfate, ammonium, and nitrate, were the most abundant in the PM2.5 and exhibited a high correlation coefficient with the mass concentration of PM2.5. Seasonal variations of PM2.5 showed a similar pattern to those of ionic and metallic species, with high concentrations during winter and spring. PM2.5 also had a high correlation with the ionic species NO3 - and NH4 +. In addition, NH4 + was highly correlated with NO3 -. Through factor analysis, we identified four controlling factors, and determined the pollution sources using the United States Environmental Protection Agency(U.S. EPA) pollution profile. The first factor, accounting for 19.1% of PM2.5 was attributed to motor vehicles and heating-related sources: the second factor indicated industry-related sources and secondary particles, and the other factors indicated soil, industry-related and marine sources. However, the pollution profile used in this study may be somewhat different from the actual situation in Korea, since it was obtained from US EPA. Therefore, to more accurately estimate the pollutants present in the air, a pollution profile for Korea should be produced.

The objective of this study was to estimate air quality trends in the study area by surveying monthly and seasonal concentration trends. To do this, the mass concentration of PM10 samples and the metals, ions, and total carbon in the PM10 were analyzed. The mean concentration of PM10 was 33.9 ㎍/㎥. The composition of PM10 was 39.2% ionic species, 5.1% metallic species, and 26.6% carbonic species (EC and OC). Ionic species, especially sulfate, ammonium, and nitrate, were the most abundant in the PM10 and had a high correlation coefficient with PM10. Seasonal variation of PM10 showed a similar pattern to those of ionic and metallic species. with high concentration during the winter and spring seasons. PM10 showed high correlation with the ionic species NO3 - and NH4 +. In addition, NH4 + was highly correlated with SO4 2- and NO3 -. We obtained four factors through factor analysis and determined the pollution sources using the United States Environmental Protection Agency(U.S. EPA) pollution profile. The first factor accounted for 51.1% of PM10 from complex sources, that is, soil, motor vehicles, and secondary particles: the second factor indicated marine sources; the third factor, industry-related sources; and the last factor, heating-related sources. However, the pollution profile used in this study may be somewhat different from the actual situation in Korea because it was from US EPA. Therefore, to more accurately estimate the pollutants present, it is necessary to create a pollution profile for Korea.

In this study, seven oligonucleotides primers were shown to generate the shared loci, specific loci, unique shared loci to each species and shared loci by the three species which could be obviously calculated. Euclidean genetic distances within- and between-species were also calculated by complete linkage method with the sustenance of the hierarchical dendrogram program Systat version 13. The genomic DNA isolated from herring (Clupea pallasii), Korean anchovy (Coilia nasus) and large-eyed herring (Harengula zunashi), respectively, in the Yellow Sea, were amplified several times by PCR reaction. The hierarchical dendrogram shows three chief branches: cluster 1 (PALLASII 01, 02, 03, 04, 06 and 07), cluster 2 (NASUS 08, 09, 10, 11, 12, 13 and 14), and cluster 3 (ZUNASHI 15, 16, 17, 18, 19, 20, 21 and PALLASII 05). In three clupeid species, the shortest genetic distance displaying significant molecular difference was between individual PALLASII no. 03 and PALLASII no. 02 (0.018). Individual no. 06 of PALLASII was most distantly related to NASUS no. 11 (genetic distance = 0.318). Individuals from herring (C. pallasii) species (0.920) exhibited higher bandsharing values than did individuals from Korean anchovy (C. nasus) species (0.872) (P<0.05). As a result, this PCR analysis generated on the genetic data displayed that the herring (C. pallasii) species was widely separated from Korean anchovy (C. nasus) species. Reversely, individuals of Korean anchovy (C. nasus) species were a little closely related to those of large-eyed herring (H. zunashi) species.

Genomic DNAs (gDNAs) were isolated from the hard clam ( , Roding, 1798) populations of Gunsan located in the Yellow Sea of the Korean peninsula. Genetic distances among different individuals of the LSCP (light shell color population) population of the hard clam (lane 1-11), GSCP (grey shell color population) population of the hard clam (lane 12-22) and DSCP (dark shell color population) population of the hard clam (lane 23-33), respectively, were generated using Systat version 10 according to the bandsharing values and similarity matrix. The dendrogram, generated by seven reliable oligonucleotides primers, indicates 3 genetic clusters. LSCP population could be evidently discriminated with the other two populations among three populations. The longest genetic distance (0.801) was found to exist between individuals in the two populations, between individuals' no. 33 of the DSCP population and no. 06 of the LSCP population. The higher fragment sizes (>2,000 bp) are much more observed in the GSCP population. Three hard clam populations can be clearly distinguished, especially, by their morphological characters and PCR-based approach.