http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
닭,오리,말,사슴,염소 및 양에 의한 유기성 오염물 발생에 따른 배출부하 원단위 산정
한준석(Jun-Suk Han),윤지현(Ji-Hyun Yoon),한기봉(Gee-Bong Han) 유기성자원학회 2008 유기물자원화 Vol.16 No.2
본 연구에서는 닭, 오리, 말, 염소, 사슴 및 양으로부터 발생되는 분·뇨 및 폐수의 오염물 부하를 조사 및 분석함으로써 축사로부터 발생 및 배출되는 오염물 부하 원단위를 산정하였다. 그 조사 결과는 다음과 같다. 닭의 오염물질 배출량 및 농도분석 원단위를 통하여 산출된 배출부하 원단위는 사육두수 및 사료의 종류, 분의 처리방법의 상이함에 의해 산란계에서 높게 나타난 것으로 판단된다. 배출부하 원단위 중 사슴의 경우 기존의 문헌보다 높게 측정된 것은 사슴의 축종별 체중과 오염물질 발생량의 차이에 의한 것으로 판단된다. 양의 경우 뇨의 발생부하량 원단위가 분에 비해 2배 정도 높게 측정되었는데 문헌자료에서는 분이 뇨보다 높게 측정되어 현 연구에서의 측정결과와 많은 차이를 나타내었다. In this study, the characterization of minor livestock's excretions in terms of unit load generation and discharge was conducted by investigation and analysis of urine, manure and wastewater from stall of fowl, duck, horse, deer, goat and sheep. The results are summarized as follows: The unit load generation of fowl estimated by discharged amount and concentration analysis increases in egg layers due to the difference of planting head numbers, feed stuffs and manure disposal. In case of deer unit load generation by herbivora were calculated to be higher than data from existing references because of the gap between weight per livestock and the generation amounts of manure and urine. In case of sheep unit load generation by urine were analyzed two times higher than by manure but unit load generation by manure were reported higher than by urine in references, so large differences between this and previous study resulted.
한준석(Han Joonseok) 한국디자인사학회 2023 Extra Archive: 디자인사연구 Vol.- No.7
This project was designed to explore how artificial intelligence can demonstrate proactivity and subjectivity as an active agent in the process of performing design tasks. To achieve this, a series of design tasks were assigned to artificial intelligence, and the process and results of executing these tasks were monitored. The collaboration process between artificial intelligence and humans was carefully documented as we intervened in the process together. Through this, we investigated how human decisionmaking influences the actions of artificial intelligence and conversely, how the decisions made by artificial intelligence impact human judgment. In doing so, we aimed to explore the potential possibilities of how the mutual proactivity and subjectivity of artificial intelligence and humans can come together to create refined collaborative outcomes.
한기봉,한준석 유기성자원학회 2010 유기물자원화 Vol.18 No.1
In this study, to investigate the effect of chemical pretreatment for livestock wastewater,laboratory scale test for ozonation and linked treatment of sewage were conducted. and theresults were obtained as follows. The ozonation of livestock wastewater showed the CODremoval rate per hour to be 17%, 78% and 62% at each pH 4, 7 and 10, respectively. Withtransformation of NBDCOD to biodegradable BDCOD by ozonation, the ratio of SCODcr/TCODcrwas increased from 26% to 38%. Accordingly, pretreatment of livestock wastewater affected tothe biological post treatment process to elevate removal efficiency by transformation of non-biodegradable mass to biodegradable mass. As the results of linked treatment of pre-ozonatedlivestock wastewater and sewage in the MLE process, the treatment efficiencies of TCODcr93.8%, T-N 74.3%, T-P 89.7%, SS 97.5% were earned at 100% of internal recycle rate. Whenthe internal recycle rate was increased to 150%, the treatment efficiencies of TCODcr 94.5%,T-N 54.5%, T-P 70.8%, SS 98.5% were earned. Also the removal efficiencies of TCODcr92.6%, T-N 83.1%, T-P 81.9%, SS 98.5% were earned as the internal recycle rate wasincreased to 200%. Especially, nitrogen removal efficiency in the linked treatment showed74.3%, 54.5%, 83.1% at 100%, 150% and 200% of internal recycle ratio, respectively, whichrevealed the tendency of higher removal efficiency than that of sewage treatment. 본연구에서는오존을이용하여축산폐수를전처리하고일반하수와연계하여처리하였을때처리효율을실험실규모의장치를이용하여비교·분석하였으며결과는다음과같다. 축산폐수의오존산화결과대상폐수의pH를산성(pH4), 중성(pH7), 알칼리성(pH10)으로변화시켰을때각각COD제거율은시간당17%, 78%, 62% 로분석되었다. 오존산화에의해NBDCOD 중일부가미생물이분해가능한BDCOD 로전환되어SCODcr/TCODcr 비는26%에서약38%로증가하였다. 따라서, 오존산화에의한축산폐수의전처리는난분해성물질을생물학적분해가능한물질로일부전환시키며후단생물학적처리단계에서의제거효율을높일수있는영향을미치는것으로분석되었다. 오존산화처리된축산폐수와하수와의연계유입수를MLE(Modified Ludzack-Ettinger) 공정으로처리한결과, 내부반송100%일때TCODcr 93.8%, T-N 74.3%, T-P 89.7%, SS 97.5%의처리효율을나타냈다. 또한내부반송율을150%로증가시켰을때처리효율은각각94.5%, 54.5%, 70.8%, 98.5% 로나타났고, 200%로증가시켰을때처리효율은각각92.6%, 83.1%, 81.9%, 98.5% 로나타났다. 연계유입수를원수로사용한경우특히질소제거율은내부반송율100%, 150%, 200%에서각각74.3%, 54.5%, 83.1%로나타났으며, 모든경우에있어일반하수를원수로사용한경우보다질소제거율이우수한것으로분석되었다.