• Title/Summary/Keyword: contamination sources

Search Result 366, Processing Time 0.027 seconds

Weldability of Al Alloys,Part I ;Cfacking and Porosity (알루미늄 합금의 용접특성 - part I : 균열 및 기공)

  • 이창희;장래웅
    • Journal of Welding and Joining
    • /
    • v.10 no.3
    • /
    • pp.1-12
    • /
    • 1992
  • A literature review was conducted to survey informations available on the welding metallurgy of aluminum alloys and its effect on fusion weldability, especially on solidification cracking and pore formation. Solidification cracking behavior of Al weld is a complicate matter as compared to other high alloys, where a relatively simple Fe-X(most detrimental elements S, P, B, Si, etc) binary diagram can be successfully applicable. Both additive and synergistic effects of elements should be considered together. A same element play a different role from system to system. Porosity, caused by hydrogen contamination of the weld is one of the most troublesome welding problems. The primary sources of hydrogen are believed to be an absorbed moisture on the filler metal or base metal and in the shielding gas. It is extremely important that reliable quality-control procedures be employed to eliminate all possible sources of hydrogen contamination. Selection of proper process and parameters is sometimes more important than controlling of alloying elements in order to make a defect-free weld.

  • PDF

A Study on the Water Systems in the Rural Districts of Korea (농촌 생활용수에 관한 조사 연구)

  • 박승우;정하우
    • Magazine of the Korean Society of Agricultural Engineers
    • /
    • v.16 no.2
    • /
    • pp.3420-3429
    • /
    • 1974
  • This study was performed to estimate the daily water consumption for watering livestock and home use, and to organize the water systems in the rural districts of Korea. For these purposes, 560 farms and other 40 urban families were randomly chosen and investigated about their water systems and daily water consumption seasonally from July 20 to August 31, 1973, and other 82 livestock raisers' useful data for watering livestock helped the study to assess the consumption of livestock water and compare it to that of general farms which bred some domestic animals as their sidelines. The results of data showed that the daily consumption of water was varied with the difference of districts and seasons in which the investigations were conducted. The results were summarized as follows. 1. The mean consumption of water for home use was varied with the range of 30.2-48.7 lit./day in summer and 22.4-45.2 lit./day per a person, respectively, in the rural districts, which showed that the water consumption in summer was more than in autumn. 2. The mean consumption of livestock water in the general farms approached to about 15.8-37.1 lit./day per cattle, 3.87-16.45 lit./day per a pig, and 0.19-1.03 lit./day per chicken, but it was slightly reduced in autumn; 10.89-37.09 lit./day per cattle, 3.87-12.63 lit./day per a pig, and 0.06-0.94 lit./day per chicken. The ratio of livestock water consumption to home use amounted to the range of 10-25%. 3. The mean consumption of livestock water used at the livestock raisers amounted to 134 lit./day per dairy cow, 67.4 lit./day per cattle, 43.29 lit./day per a horse, 13.24 lit./day per a pig, 0.438 lit./day per a layer, and 0.177 lit./day per a broiler, which showed that the daily water consumption for larger livestock was about two times as much as the farms, but it was approximately of the same for small ones. 4. The factors affecting the amount of water consumption for home use were statistically analyzed to find the kind of water sources and the class of water systems by the factorial arrangement method to the fundamental experimental unit, Suwon area of 100 of families, in which the former was very significant while the latter was significant. However, the standard of living and their interactions were not significant. 5. Almost 83.24% of the sampled farms used some kinds of wells as their water sources, of which 32.06% was of hard water, and of which 11.l% or 2.6% contained much of iron or organice materials, respectively, examining them by a simple technique of sensibility, 6. The resulting chart of the farm water systems was summarized as Fig. IV-6. Observating the safe distance from contamination sources, the ratio of 42.4% of sampled farms whose water sources were wells, confronted highly to the danger of contamination to their water sources. And other dangerous sources of contamination such as toilets, stalls, and compost heaps were situated nearly to the water sources, and most of them were able to make their spoiled water infiltrated into the ground. Thereafter, it was recommended to develop some protecting methods and to install some suitable faculties to clean water.

  • PDF

Monitoring of fecal contamination in a partly restored urban stream in Seoul, Korea

  • Seo, Eun-Young;Jung, Dawoon;Yong, Seung-Cheon;Park, Rho Young;Lee, Young-Ok;Ahn, Tae-Seok
    • Environmental Engineering Research
    • /
    • v.21 no.2
    • /
    • pp.211-218
    • /
    • 2016
  • Cheonggye-cheon is a partly restored urban stream located in central Seoul. We monitored fecal contamination using three different fecal indicators, total coliforms (TC), fecal coliforms (FC) and E. coli, to assess differences in each indicator on days of varying weather conditions. Presumptive TC, FC and E. coli colonies were identified by their 16S rRNA sequences. The results showed that enumeration of E. coli provided a better reflection of fecal contamination of the stream than TC and FC. The main sources of contamination were the inflow of fecal-polluted groundwater from the vicinity of a subway line and two inflowing streams. The fecal contamination was worsened on days with heavy rain because untreated sewage from a collecting facility flowed into the stream. Moreover, growth potential of fecal indicator (E. coli) in situ induced by algal exudates was measured. Our results suggest that an appropriate standard based on E. coli rather than TC and FC should be established for improving water quality management strategies of Cheonggye-cheon in the future.

A Numerical Prediction of Contamination Behavior in a Room under the Turbulent Flow and Pressure-Based Boundary Conditions (난류유동 압력경계조건을 가진 실내공간에서의 오염물질 거동에 관한 수치적 예측)

  • 이재헌;노홍구;김광영;오명도
    • Transactions of the Korean Society of Mechanical Engineers
    • /
    • v.14 no.5
    • /
    • pp.1272-1281
    • /
    • 1990
  • A numerical study to predict the contamination behavior in a room being contaminated has been performed. The room with one inlet and three exits, which maintained same pressure at the ceiling, has been chosen as test model. Six sets of calculation have been performed, for one, two or three contamination sources of 1*10$^{-4}$ kg$_{c}$/s strength at two different velocities(0.2m/s, 20m/s). Numerical results show that the number the contamination concentration near the first source increased by every 20%-30% of the maximum concentration for each increase of the contamination source.e.

A Review on Identification Methods for TCE Contamination Sources using Stable Isotope Compositions (안정동위원소 조성을 이용한 TCE 오염원 규명방법 소개)

  • Park, Youngyun;Lee, Jin-Yong;Na, Won Jong;Kim, Rak-Hyeon;Choi, Pil Sung;Jun, Seong-Chun
    • Journal of Soil and Groundwater Environment
    • /
    • v.18 no.3
    • /
    • pp.1-10
    • /
    • 2013
  • This study was performed to summarize application of ${\delta}^{13}C$, ${\delta}^{37}Cl$ and ${\delta}D$ of trichloroethylene (TCE) to studies on environmental forensic field regarding identification of TCE sources and evaluation of contribution of TCE to groundwater using data collected from literatures. ${\delta}^{13}C$, ${\delta}^{37}Cl$ and ${\delta}D$ of TCE give some information regarding sources of TCE because they show specific value according to manufacturing method. Also, TCE do not show a significant isotopic fractionation owing to adsorption and dilution. The isotopic fractionation mainly occurs by biodegradation. In addition, isotopic fractionation factor for TCE is different according to a kind of microorganism participated in biodegradation. However, the isotopic data of TCE have to be applied with chemical compositions of TCE and other hydrogeologic factors because isotopic fractionation of TCE is influenced by various factors.

Concentration Distribution of Polychlorinated Biphenyls(PCBs) in Urban Watershed (도심하천유역의 PCBs 농도 분포)

  • Kim, Hyun-Seung;Kim, Il-Kyu
    • Journal of Korean Society of Water and Wastewater
    • /
    • v.26 no.6
    • /
    • pp.757-766
    • /
    • 2012
  • In this study, we have examined concentration distribution and patterns of PCBs in waters, sediments and soils in an agricultural area of South Korea to investigate the relationship between PCBs sources and concentration levels. The concentration of PCBs in water samples were ranged from lower values below detection limit to 8.25 ug/L and the concentration of PCBs in sediment samples were ranged from lower values below detection limit to 76.67 ug/Kg. The concentration of PCBs in soil samples were ranged from lower values below detection limit to 23.51 ug/Kg. These contamination levels were far below the guideline values suggested for environmental quality assessment. The homologue patterns in samples varied from sample to sample, but isomer patterns were very similar with each other. PCB-138 and PCB-153 were predominant congeners in the soil and sediment, which were similar to the results obtained from previous studies. With these results, the assessment of potential sources of PCBs contamination in the sediments of the Nakdong river basin was performed. The principal components were extracted by Principal Component Analysis(PCA). As the result of PCA, it could be expected that PCBs in samples of this study were more affected by PCB products than combustion processes and mostly affected by already-known sources. The PCBs in the soil and sediment samples were related with commercial PCB products.

Study on the simulation of contamination route and estimation of the pollution sources of DNOC using a numerical model (수치모형을 이용한 DNOC의 물질 거동 모의와 오염원 추정 연구)

  • Park, Kyeong-Deok;Kim, Il-Kyu
    • Journal of Korean Society of Water and Wastewater
    • /
    • v.31 no.1
    • /
    • pp.29-37
    • /
    • 2017
  • To estimate pollution sources in the watershed with various industries, the simulation of contamination route and distribution of 2-methyl-4,6-dinitriophenol(DNOC) were performed with a numerical model Hydro Geo Sphere. This study was performed calculations of the load using the measured concentration and simulated flow rate. And, the river was divided by the sampling sites at the mainstream, and the contribution rate at downstream sampling sites was calculated for each section. The results showed the concentration of the downstream sampling sites were decided by the concentration of upstream sites, and the contribution rates of the tributaries were calculated below 10%. The results also showed that the impact of the potential sources in Section 1(Geumho1 ~ Geumho2) and Section 5(Geumho5 ~ Geumho6) was larger than in the other area. In Section1 and Section5, It seemed to require detailed investigation.

Identifying sources of heavy metal contamination in stream sediments using machine learning classifiers (기계학습 분류모델을 이용한 하천퇴적물의 중금속 오염원 식별)

  • Min Jeong Ban;Sangwook Shin;Dong Hoon Lee;Jeong-Gyu Kim;Hosik Lee;Young Kim;Jeong-Hun Park;ShunHwa Lee;Seon-Young Kim;Joo-Hyon Kang
    • Journal of Wetlands Research
    • /
    • v.25 no.4
    • /
    • pp.306-314
    • /
    • 2023
  • Stream sediments are an important component of water quality management because they are receptors of various pollutants such as heavy metals and organic matters emitted from upland sources and can be secondary pollution sources, adversely affecting water environment. To effectively manage the stream sediments, identification of primary sources of sediment contamination and source-associated control strategies will be required. We evaluated the performance of machine learning models in identifying primary sources of sediment contamination based on the physico-chemical properties of stream sediments. A total of 356 stream sediment data sets of 18 quality parameters including 10 heavy metal species(Cd, Cu, Pb, Ni, As, Zn, Cr, Hg, Li, and Al), 3 soil parameters(clay, silt, and sand fractions), and 5 water quality parameters(water content, loss on ignition, total organic carbon, total nitrogen, and total phosphorous) were collected near abandoned metal mines and industrial complexes across the four major river basins in Korea. Two machine learning algorithms, linear discriminant analysis (LDA) and support vector machine (SVM) classifiers were used to classify the sediments into four cases of different combinations of the sampling period and locations (i.e., mine in dry season, mine in wet season, industrial complex in dry season, and industrial complex in wet season). Both models showed good performance in the classification, with SVM outperformed LDA; the accuracy values of LDA and SVM were 79.5% and 88.1%, respectively. An SVM ensemble model was used for multi-label classification of the multiple contamination sources inlcuding landuses in the upland areas within 1 km radius from the sampling sites. The results showed that the multi-label classifier was comparable performance with sinlgle-label SVM in classifying mines and industrial complexes, but was less accurate in classifying dominant land uses (50~60%). The poor performance of the multi-label SVM is likely due to the overfitting caused by small data sets compared to the complexity of the model. A larger data set might increase the performance of the machine learning models in identifying contamination sources.

A Review on Nitrate Source Identification using Isotope Analysis (동위원소분석을 이용한 질산염의 오염원 추적에 대한 고찰)

  • Jeen, Sung-Wook;Lee, Hwan;Kim, Rak-Hyeon;Jeong, Hoon Young
    • Journal of Soil and Groundwater Environment
    • /
    • v.22 no.1
    • /
    • pp.1-12
    • /
    • 2017
  • Nitrate ($NO_3^-$), a common surface water and groundwater pollutant, poses a serious environmental problem in regions with intensive agricultural activities and dense population. It is thus important to identify the source of nitrate contamination to better manage water quality. Due to the distinct isotope compositions of nitrate among different origins, the dual isotope analysis (${\delta}^{15}N$ and ${\delta}^{18}O$) of nitrate has been widely applied to track contamination sources. This paper provided the underlying backgrounds in the isotope analysis of nitrate, which included typical ranges of ${\delta}^{15}N$ and ${\delta}^{18}O$ from various nitrate sources, isotope fractionation, the analytical methods used to concentrate nitrate from samples, and the potential limitations of the dual isotope analysis along with the resolutions. To enhance the applicability of the dual isotope analysis as well as increase the ability to interpret field data, this paper also introduced several case studies. Furthermore, other environmental tracers including ${\delta}^{11}B$ and $Cl^-/Br^-$ ratios were discussed to accompany the dual isotope analysis for better assignment of contamination sources even when microbial transformation of nitrate and/or mixing between contaminant plumes occur.

Method of Particle Contamination Control for Yield Enhancement in the Cleanroom (클린룸 제조공정에서 수율개선을 위한 입자오염제어 방법)

  • Noh, Kwang-Chul;Lee, Hyeon-Cheol;Kim, Dae-Young;Oh, Myung-Do
    • Transactions of the Korean Society of Mechanical Engineers B
    • /
    • v.31 no.6 s.261
    • /
    • pp.522-530
    • /
    • 2007
  • The practical studies on the method of particle contamination control for yield enhancement in the cleanroom were carried out. The method of the contamination control was proposed, which are composed of data collection, data analysis, improvement action, verification, and implement control. The partition check method and the composition analysis for data collection and data analysis were respectively used in the main board and the cellular phone module production lines. And these methods were evaluated by the variation of yield loss between before and after improvement action. In case that the partition check method was applied, the critical process step was selected and yield loss reduction through improvement actions was observed. While in case that the composition analysis was applied, the critical sources were selected and yield loss reduction through improvement actions was also investigated. From these results, it is concluded that the partition check and the composition analysis are effective solutions for particle contamination control in the cleanroom production lines.