Abstract:
본 발명은 디할로코코이데스 속( Dehalococcoides spp.) 균주의 개체수가 증가된 미생물 군집 JL-1(KCTC 11782BP)을 제공하는 효과가 있고 또 상기 미생물 군집을 생물학적 정화에 이용하여 테트라클로로에틸렌(PCE) 및 트리클로로에틸렌(TCE)의 탈염소화 메커니즘(mechanism)에서 발암물질로 알려진 비닐클로라이드(VC)의 축적 없이 에텐으로 완전분해하는 미생물 제제를 제공하는 효과가 있다.
Abstract:
PURPOSE: A microbial community JL-1 with PCE and TCE complete dechlorination ability is provided to cheaply remove chlorinated ethanes. CONSTITUTION: An anaerobic microbial community contains Dehalococcoides spp., Geobacter sp., and Desulfuromonas sp. with PCE and TCE(trichloroethene) complete dechlorination. The microorganism is isolated from a river precipitate sample collected from Wonju-cheon in Kangwon-do province.
Abstract:
PURPOSE: A ground contaminated water discharging apparatus is provided to effectively process ground water containing multiple contaminants before discharging to the outside, and to perform a reduction process of chlorinated organic matters and heavy metals. CONSTITUTION: A ground contaminated water discharging apparatus comprises the following: a discharging pipe divided into a first space unit(210) filled with a reaction agent, a second space unit(220) filled with an absorber, and a third space unit(230) filled with a neutralization agent; an inlet(201) for flowing in ground contaminated water to the first space unit; and an outlet for discharging the ground contaminated water after passing through the space units successively connected to each others.
Abstract:
PURPOSE: A method and a system for selecting an optimal map of soil ecological quality based upon statistical reliability evaluation are provided to selects most reliable optimal map of a soil ecological quality in the production of a soil ecological grade numerical value map for a certain target region. CONSTITUTION: A system receives soil environment attribute data of target area and soil ecological diversity data(S102). The system evaluates at least one accuracy of learned ecological grade prediction algorithm(S105). The system predicts soil ecology class in target area which is not measured(S106). The system evaluates consistency of generated numerical value map(S108). The system selects the best digital map(S109).
Abstract:
A method for predicting soil environment ecology class is provided to classify quality of the soil by grading the soil microbes species diversity. A soil environment ecology class prediction method comprises following steps. With the first step, selecting the target area and grading the quality of the soil ecology are performed. A data mining is performed through AI model by setting soil characteristics information and soil characteristics information as an independent variable, and SMD as a dependent variable. And SMD is predicted by using the variable which comes under the unknown region by using optimum model having variable and the suitable accuracy.
Abstract:
A method for isolating and culturing oligotrophic bacteria with antibiotic resistance in an environmental sample is provided to detect oligotrophic bacteria in various aqueous samples including river, rain, livestock wastewater, drinking water and subterranean water. A diagnosis method of bacterium harmfulness is provided to diagnose antibiotic-resistant bacteria in the environmental sample systematically by using both microplates with and without antibiotic in an identical sample. The antibiotic-resistant oligotrophic bacteria in an environmental sample are isolated by culturing an undiluted or diluted solution of the environmental sample in a microplate prepared by adding one antibiotic selected from tetracycline, ampicillin, rifampicin and kanamycin into diluted LB solid medium (dilution ratio of 10^0 to 10^-4). A method for diagnosis of bacterium harmfulness by antibiotic resistance in an environmental sample comprises the steps of: culturing an undiluted or diluted solution of the environmental sample in the microplate; counting the numbers of colonies grown on the microplate; and comparing the numbers of bacteria grown in the antibiotic-containing medium with that in the antibiotic free medium.