광물탄산화 공정 이후 발생하는 잔사슬래그의 수계 내 비소 제거 기작 (Arsenic Removal Mechanism of the Residual Slag Generated after the Mineral Carbonation Process in Aqueous System)
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- 자원환경지질
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- 제55권4호
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- pp.377-388
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- 2022
제강슬래그를 이용한 광물탄산화 공정 이후 발생하는 잔사슬래그의 비소(As) 제거 기작 규명을 위해, 전로제강슬래그(blast oxygen furnace slag: BOF)에 직접 및 간접탄산화 공정이 각각 적용된 두 종류의 잔사슬래그를 대상으로 실험실 규모의 실험을 실시하였다. 광물탄산화 공정은 잔사슬래그의 화학적-광물학적 조성변화, 용출수의 pH 저감, 표면 미세공극 형성 등 기존 제강슬래그의 특성을 변화시키는 것으로 밝혀졌다. 다양한 pH 범위의 As 인공오염수(초기농도: 203.6 mg/L)에 잔사슬래그를 반응시킨 배치실험에서, RDBOF (직접탄산화 후 BOF)는 초기 pH가 감소할수록 As 제거효율이 증가하는 경향을 보이며 초기 pH가 1인 환경에서 99.3%의 As 제거효율을 나타냈다. 이는 RDBOF 표면을 피복하던 CaCO3가 낮은 초기 pH 환경에서 용해되어 RDBOF 표면에서 철산화물의 노출 면적을 증가시킴으로 인해, 철산화물의 As 음이온 표면 흡착을 촉진한 것에서 기인한 것으로 판단되었다. 반면 RIBOF (간접탄산화 후 BOF)는 초기 pH가 높은 환경일수록 As 제거효율이 증가하며 초기 pH 10의 As 오염수에서 70.0%의 가장 높은 As 제거효율을 보였다. RIBOF의 영전하점(pH 4.5)을 고려할 때, 초기 pH 4-10 조건에서 음전하를 띠는 RIBOF의 표면에 As 음이온의 전기적 인력에 의한 표면 흡착은 발생하기 어려울 것으로 예상되었다. 다만 수용액 내 용존하는 Ca2+, Mn2+, Fe2+와 같은 2가 양이온들에 의해 As 음이온이 RIBOF 내 철산화물에 간접적으로 고정되는 양이온 가교효과(cation bridge effect)가 발생하였고, 초기 pH가 높은 환경일수록 슬래그 표면이 더 강한 음전하를 띠며 양이온 가교효과가 가속화되어, 결과적으로 많은 As가 흡착된 것으로 판단되었다. 하지만 강알칼리 (pH 10-11 이상) 조건에서는 RIBOF 표면에 생성된 칼슘침전물이 철산화물을 피복함으로써 철산화물에 의한 As 음이온 표면 흡착을 저해하는 현상이 발생하였다. 또한 배치실험 이후 회수된 잔사슬래그에 TCLP 시험을 수행한 결과, RDBOF와 RIBOF 모두 2% 미만의 As 탈착률을 보여 안정적인 형태로 As가 고정되어 있음이 확인되었다. 본 연구 결과를 통해, 잔사슬래그가 기존에 As 제거제로 활용되던 제강슬래그의 단점인 수계의 급격한 pH 상승을 억제하는 동시에, 높은 As 제거효율 및 안정성을 나타내는 저비용-친환경의 As 제거제로서의 활용 가능성을 입증하였다.
본 연구는 고객만족과 기업가치 성과간의 관계를 분석하는 것이 목적이다. 기업가치성과는 주가와 신용등급으로 나눌 수 있는데, 전자는 기업의 시장가치이고 후자는 자금조달비용이라 구분하여 사용되고 있다. 고객만족과 주가와의 관계는 비교적 오래전부터 연구되어 왔으나 신용등급과의 관계는 최근 들어 연구되기 시작하였다. 대표적으로 Anderson and Mansi(2009)의 연구에서는 양자가 긍정적으로 관련된 것으로 밝혀졌으나, 윤상운(2010)이 국내자료를 사용한 연구에서는 그 관계가 입증되지 못하였다. 일치하지 않는 두 연구의 결과에서 아이디어를 얻어 본 연구에서는 고객만족이 신용등급에 긍정적 영향을 미치는 것으로 보고 이를 검증하였다. 두 연구에서 사용한 모델을 참고로 하였고 특히 우리나라 실정에서는 정부지원이 중요한 변수임을 감안하여 이를 포함한 연구모형을 설정하여 검증한 결과 긍정적 관련성이 있는 것으로 나타났다. 추가분석에서 자산규모가 큰 기업보다 작은 기업에서, 제조업보다 서비스업에서 고객만족이 신용등급에 더 유의한 긍정적 영향을 미치는 것으로 나타났다.
The wall shear stress in the vicinity of end-to end anastomoses under steady flow conditions was measured using a flush-mounted hot-film anemometer(FMHFA) probe. The experimental measurements were in good agreement with numerical results except in flow with low Reynolds numbers. The wall shear stress increased proximal to the anastomosis in flow from the Penrose tubing (simulating an artery) to the PTFE: graft. In flow from the PTFE graft to the Penrose tubing, low wall shear stress was observed distal to the anastomosis. Abnormal distributions of wall shear stress in the vicinity of the anastomosis, resulting from the compliance mismatch between the graft and the host artery, might be an important factor of ANFH formation and the graft failure. The present study suggests a correlation between regions of the low wall shear stress and the development of anastomotic neointimal fibrous hyperplasia(ANPH) in end-to-end anastomoses. 30523 T00401030523 ^x Air pressure decay(APD) rate and ultrafiltration rate(UFR) tests were performed on new and saline rinsed dialyzers as well as those roused in patients several times. C-DAK 4000 (Cordis Dow) and CF IS-11 (Baxter Travenol) reused dialyzers obtained from the dialysis clinic were used in the present study. The new dialyzers exhibited a relatively flat APD, whereas saline rinsed and reused dialyzers showed considerable amount of decay. C-DAH dialyzers had a larger APD(11.70
The wall shear stress in the vicinity of end-to end anastomoses under steady flow conditions was measured using a flush-mounted hot-film anemometer(FMHFA) probe. The experimental measurements were in good agreement with numerical results except in flow with low Reynolds numbers. The wall shear stress increased proximal to the anastomosis in flow from the Penrose tubing (simulating an artery) to the PTFE: graft. In flow from the PTFE graft to the Penrose tubing, low wall shear stress was observed distal to the anastomosis. Abnormal distributions of wall shear stress in the vicinity of the anastomosis, resulting from the compliance mismatch between the graft and the host artery, might be an important factor of ANFH formation and the graft failure. The present study suggests a correlation between regions of the low wall shear stress and the development of anastomotic neointimal fibrous hyperplasia(ANPH) in end-to-end anastomoses. 30523 T00401030523 ^x Air pressure decay(APD) rate and ultrafiltration rate(UFR) tests were performed on new and saline rinsed dialyzers as well as those roused in patients several times. C-DAK 4000 (Cordis Dow) and CF IS-11 (Baxter Travenol) reused dialyzers obtained from the dialysis clinic were used in the present study. The new dialyzers exhibited a relatively flat APD, whereas saline rinsed and reused dialyzers showed considerable amount of decay. C-DAH dialyzers had a larger APD(11.70
국내 대형마트 점포 수는 2008년 기준 403개로 포화시점에 근접하고 있다. 이러한 경쟁상황에서 '점포충성도(store loyalty)'가 지속적 경쟁우위를 위한 전략적 도구로써 그 활용성이 점점 더 중요시 되고 있다. 다양한 관점에서 점포충성도를 대형마트 연구의 핵심적 과제 다루어왔으나, 통합적인 연구 접근 방법이 미흡한 실정이다. 따라서 본 연구에서는 통합적 관점에서 점포충성도가 형성되는 두 가지 경로를 제안하였다. 이중경로모형은 첫째, 내재적 경로 '서비스품질
To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.
본(本) 연구(硏究)는 계획기간내(計劃期間內)의 재적수확량(材積收穫量)을 최대화(最大化)하고 각분기(各分期)의 수확량(收穫量)과 수확면적(收穫面積)을 일정(一定) 범위(範圍)로 제약(制約)하여 계획기간내(計劃期間內)의 보속수확(保續收穫)을 도모(圖謀)하는 동시(同時)에 후계림(後繼林)의 법정영급배치(法正令級配置)가 유도(誘導)될 수 있는 적정수확안(適正收穫案)을 선형계획법(線型計劃法)에 의하여 선정(選定)하고, 제약량(制約量)의 변화(變化)가 총수확량(總收穫量) 및 분기별(分期別) 수확량(收穫量)과 수확면적(收穫面積)에 미치는 영향(影響)을 구명(究明)하는데 목적(目的)이 있다. 서울 대학교(大學校) 농과대학(農科大學) 부속연습림중(附屬演習林中) 개벌작업급(皆伐作業級)에 속하는 219개(個) 소반(小班)을 대상(對象)으로 하였으며, 이 삼림(森林)은 영급구성면(令級構成面)에서 볼 때 유영급(幼令級) 임분(林分)이 많다는 점(點)에서 전국(全國) 삼림(森林)을 대표(代表)한다고 할 수 있다. 본(本) 연구(硏究)에서는 한 분기년수(分期年數)를 5년(年), 계획기간(計劃期間)을 10분기(分期), 1영급(令級)을 5영개(令皆)로 하였으며, 벌채영급(伐採令級)의 범위(範圍)는 5~9영급(令級)이다. 한편, 후계림(後繼林)은 현실림(現實林)이 수확(收穫)되는 즉시 조림(造林)되고, 미립목지(未立木地)는 1분기내(分期內)에 조림(造林)되며 다음 벌기(伐期)까지 충분(充分)한 입목도(立木度)가 이루어지는 것으로 전제(前提)하였다. 소반(小班)을 벌구(伐區)로 하여, 각벌구(各伐區)가 계획기간내(計劃期間內)에 벌채(伐採)될 수 있는 모든 가능(可能)한 대체수확안(代替收穫案)을 그의 영급(令級)에 따라 작성(作成)하고, 여기에 현실림(現實林)과 후계림(後繼林)의 벌기예상수확량(伐期豫想收穫量)을 대입(代入)하여 각대체안(各代替案)의 계획(計劃) 기간내(期間內) 수확량(收穫量)(