• Title/Summary/Keyword: artificial sea water

Search Result 223, Processing Time 0.026 seconds

Application of Artificial Neural Network for estimation of daily maximum snow depth in Korea (우리나라에서 일최심신적설의 추정을 위한 인공신경망모형의 활용)

  • Lee, Geon;Lee, Dongryul;Kim, Dongkyun
    • Journal of Korea Water Resources Association
    • /
    • v.50 no.10
    • /
    • pp.681-690
    • /
    • 2017
  • This study estimated the daily maximum snow depth using the Artificial Neural Network (ANN) model in Korean Peninsula. First, the optimal ANN model structure was determined through the trial-and-error approach. As a result, daily precipitation, daily mean temperature, and daily minimum temperature were chosen as the input data of the ANN. The number of hidden layer was set to 1 and the number of nodes in the hidden layer was set to 10. In case of using the observed value as the input data of the ANN model, the cross validation correlation coefficient was 0.87, which is higher than that of the case in which the daily maximum snow depth was spatially interpolated using the Ordinary Kriging method (0.40). In order to investigate the performance of the ANN model for estimating the daily maximum snow depth of the ungauged area, the input data of the ANN model was spatially interpolated using Ordinary Kriging. In this case, the correlation coefficient of 0.49 was obtained. The performance of the ANN model in mountainous areas above 200m above sea level was found to be somewhat lower than that in the rest of the study area. This result of this study implies that the ANN model can be used effectively for the accurate and immediate estimation of the maximum snow depth over the whole country.

Predicting Probability of Precipitation Using Artificial Neural Network and Mesoscale Numerical Weather Prediction (인공신경망과 중규모기상수치예보를 이용한 강수확률예측)

  • Kang, Boosik;Lee, Bongki
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.28 no.5B
    • /
    • pp.485-493
    • /
    • 2008
  • The Artificial Neural Network (ANN) model was suggested for predicting probability of precipitation (PoP) using RDAPS NWP model, observation at AWS and upper-air sounding station. The prediction work was implemented for flood season and the data period is the July, August of 2001 and June of 2002. Neural network input variables (predictors) were composed of geopotential height 500/750/1000 hPa, atmospheric thickness 500-1000 hPa, X & Y-component of wind at 500 hPa, X & Y-component of wind at 750 hPa, wind speed at surface, temperature at 500/750 hPa/surface, mean sea level pressure, 3-hr accumulated precipitation, occurrence of observed precipitation, precipitation accumulated in 6 & 12 hrs previous to RDAPS run, precipitation occurrence in 6 & 12 hrs previous to RDAPS run, relative humidity measured 0 & 12 hrs before RDAPS run, precipitable water measured 0 & 12 hrs before RDAPS run, precipitable water difference in 12 hrs previous to RDAPS run. The suggested ANN has a 3-layer perceptron (multi layer perceptron; MLP) and back-propagation learning algorithm. The result shows that there were 6.8% increase in Hit rate (H), especially 99.2% and 148.1% increase in Threat Score (TS) and Probability of Detection (POD). It illustrates that the suggested ANN model can be a useful tool for predicting rainfall event prediction. The Kuipers Skill Score (KSS) was increased 92.8%, which the ANN model improves the rainfall occurrence prediction over RDAPS.

The Optimal Culture Condition for the Collagenolytic Protease Production from Vibrio vulnificus CYK279H (Vibrio vulnificus CYK 279H에서 Collagenolytic Protease 생산을 위한 최적배양조건)

  • 강성일;김영문;장영부;임동중;공재열
    • KSBB Journal
    • /
    • v.19 no.4
    • /
    • pp.295-300
    • /
    • 2004
  • A marine bacterium for producing an collagenolytic protease was isolated from the southern sea of Korea and identified as Vibrio vulnificus and named as Vibrio vulnificus CYK279H. This strain producing an collagenolytic protease was showed high activity toward collagen and gelatin as substrate. The optimum initial pH, NaCl, and temperature for cell growth and protease production was 7.5, 2.0% and 25$^{\circ}C$, respectively. Optimization for collagenolytic protease production was composed of 0.3% D-galactose, 0.6% yeast extract, 4.0% gelatin, 0.2% (NH$_4$)$_2$SO$_4$, and 0.2 mM ferric citrate in artificial sea water. The maximum protease production was required gelatin and yeast extract. The collagenolytic protease production by Vibrio vulnificus CYK279H reached a maximum of 73 unit/l after the cultivation for 18 h under the optimized medium.

A SCATTERING MECHANISM IN OYSTER FARM BY POLARIMETRIC AND JERS-l DATA

  • Lee Seung-Kuk;Won Joong Sun
    • Proceedings of the KSRS Conference
    • /
    • 2005.10a
    • /
    • pp.538-541
    • /
    • 2005
  • Tidal flats develop along the south coast ofthe Korean peninsula. These areas are famous for sea farming. Specially, strong and coherent radar backscattering signals are observed over oyster sea farms that consist of artificial structures. Tide height in oyster farm is possible to measure by using interferometric phase and intensity of SAR data. It is assumed that the radar signals from oyster farm could be considered as double-bouncing returns by vertical and horizontal bars. But, detailed backscattering mechanism and polarimetric characteristics in oyster farm had not been well studied. We could not demonstrate whether the assumption is correct or not and exactly understand what the properties of back scattering were in oyster farm without full polarimetric data. The results of AIRSAR L-band POLSAR data, experiments in laboratory and JERS-l images are discussed. We carried out an experiment simulating a target structure using vector network analyser (Y.N.A.) in an anechoic chamber at Niigata University. Radar returns from vertical poles are stronger than those from horizontal poles by 10.5 dB. Single bounce components were as strong as double bounce components and more sensitive to antenna look direction. Double bounce components show quasi-linear relation with height of vertical poles. As black absorber replaced AI-plate in bottom surface, double bounce in vertical pole decreased. It is observed that not all oyster farms are characterized by double bounced scattering in AIRSAR data. The image intensity of the double bounce dominant oyster farm was investigated with respect to that of oyster farm dominated by single bounce in JERS-l SAR data. The image intensity model results in a correlation coefficient (R2 ) of 0.78 in double bounce dominant area while that of 0.54 in single bouncing dominant area. This shows that double bounce dominant area should be selected for water height measurement using In8AR technique.

  • PDF

Suggestions for Ecological Stream Restoration (생태하천 복원 방안)

  • Kim, Myungjin
    • Journal of Environmental Impact Assessment
    • /
    • v.16 no.1
    • /
    • pp.59-68
    • /
    • 2007
  • Urban streams have been severely degraded with wastewater and concrete structure over a prolonged period. The Chonggyecheon Restoration Project recovered a stream in the downtown Seoul with landscaping, plantings and bridges after the cover concrete and elevated asphalt road were removed. The project has been criticized partly because it is not an ecological restoration but rather the development of an urban park with an unnaturally straight flowing stream, artificial building structures, and artificial water pumping from the Han River. Nevertheless, the public have praised the project and almost 100,000 visitors per day come to see the reeds, catfish, and ducks. The stream restoration project is attractive to central and regional government decision makers because it increases the public concern of landscape amenity. Several projects such as Sanjichon and Kaeumjungchon are on going and proposed. These projects have a common and different respect in scope and procedure. The Chonggyecheon project in the process of environmental impact assessment (EIA) and prior environmental review system (PERS) reviewed the environmental impacts before development. Kaeumjungchon in the PERS and Sanjichon without EIA and PERS are reviewed. EIA and PERS systems contribute to checking the ecological sustainability of the restoration projects. A stream restoration project is a very complex task, so an integrated approach from plan to project is needed for ecologically sound restoration. Ecological stream restoration requires 1) an assessment of the entire stream ecosystem 2) establishing an ecologically sound management system of the stream reflecting not only benefits for people but also flora and fauna; 3) developing the site-specific design criteria and construction techniques including habitat restoration, flood plains conservation, and fluvial management; 4) considering the stream watershed in land use plan, EIA, PERS, and strategic environmental assessment (SEA). Additionally the process needs to develop the methodologies to enhance stakeholder's participation during planning, construction, and monitoring.

Effect of temparature and salinity on the multiplication of Vibrio vulnificus (수온과 염분농도가 Vibrio vulnificus 증식에 미치는 영향)

  • Kim, Myoung-Sug;Jeong, Hyun-Do;Kim, Dae-Hee;Kim, Gwang-Seog;Cho, Ji-Young;Jun, Lyu-Jin;Kim, Jae-Hoon
    • Journal of fish pathology
    • /
    • v.19 no.1
    • /
    • pp.35-43
    • /
    • 2006
  • To analyze the safety of shellfish from the Vibrio vulnificus contamination, we investigated the multiplication of V. vulnificus in oysters keeping at different temperatures with or without shell. The numbers of V. vulnificus contaminated in oysters were more than that in artificial sea water (ASW) after artificial infection. The storage-temperature had an effect on multiplication of V. vulnificus in oysters, because the number of V. vulnificus was started to increase rapidly from just after keeping at 25℃ but no significant variation was observed at 4℃ throughout the experiment periods. In different salinity, using ASW of 5, 15, 35 ‰, the number of V. vulnificus was decreased at both 25℃ and 4℃. However, the rate of decreasing at 4℃ was faster than that 25℃. Additional, changed salinity also influenced to the decreasing rate of V. vulnificus keeping 4℃ as the highest rate in 35 ‰ ASW.

Characteristic Distributions of Nutrients and Water Quality Parameters in the Vicinity of Mokpo Harbor after Freshwater Inputs (담수 유입에 따른 목포항 주변해역의 영양염 및 수질인자 분포 특성)

  • Kim, Yeong-Tae;Choi, Yoon-Seok;Cho, Yoon-Sik;Choi, Yong Hyeon;Jeon, Seungryul
    • Journal of the Korean Society of Marine Environment & Safety
    • /
    • v.21 no.6
    • /
    • pp.617-636
    • /
    • 2015
  • The Mokpo coastal waters receive discharges from three artificial lakes(Youngsan, Youngam, Geumho) and other terrigenous freshwater inflows(streams, sewage treatment effluent, fresh groundwater), which exhibit very high concentrations of nutrients and/or organic matters. To understand spatial distributions of nutrients(DIN, DIP, DSi) and other water quality parameters(Chl-a, water temperature, salinity, DO, COD, SS), field surveys were conducted at 10 stations in the Mokpo harbor and adjacent estuaries on May, July, September, and November 2008 within 10 days following discharge events from artificial lakes. In this study, the freshwater flow rate influxed by the operation of sea dike sluice had significant influence on water qualities of the Mokpo coastal waters, although nutrient concentrations in other freshwater sources such as streams, sewage treatment effluent, and fresh groundwater were much higher. As a result of statistical analysis, DIN, COD, and Chl-a had a negative correlation with salinity. Therefore it was shown that discharge extents, time, and nutrients from the Youngsan lake were major impact factors dominating the spatial characteristics of nutrients and other water quality parameters in the Mokpo harbor and adjacent waters. However, despite non-discharge from the Youngsan Lake on September of this investigated period, it was observed that the nutrient addition was taking place in the lower layer of the estuary suggesting nutrient supply through different pathways. This result has emphasized the need to implement the combined assessment about the cumulative impacts on the Youngsan Estuary environment and ecosystem due to freshwater inputs derived from the artificial lakes as well as other terrigenous inflows, or benthic releases.

Traits of Water Level Control by Sluice Gates and Halophyte Community Formation in Saemangeum (새만금 배수갑문 수위조절 특성과 염생식물 군락지 형성에 관한 연구)

  • Sin, Myoung-Ho;Kim, Chang-Hwan
    • Korean Journal of Environment and Ecology
    • /
    • v.24 no.2
    • /
    • pp.186-193
    • /
    • 2010
  • In order to examine the traits of sluice gate water control, halophyte community formation and their inter-relations in Saemangeum, both water level condition and halophyte community formation were analyzed periodically and spatially on the topographic map with Surfer, Saemageum Spatial Analysis System, and related field reports. The traits of water level condition are that average water level in the growing period of halophytes was similar to annual average water level, annual low level and high level appeared in the growing period, and water level was usually maintained within a range of -1.0m~0.5m above mean sea level, but it has changed more frequently year by year. Routine water level control, natural disaster prevention, construction, and civil appeal took major percentages of the reasons for sluice gate's opening and shutting. Since 2007, not only the overall control frequency of sluice gate but also its control frequency for construction and natural disaster prevention have increased outstandingly. Halophyte community had formed at a rate of 1,209ha/year in the 4,315 ha land in 2008, 6.3 times larger than in 2005, and 2,382 ha above around 1.0m was estimated to be artificially vegetated, 89.1 % of the 2,673ha-size sown area. High water level was found to be a more possible determinant than average water level or low water level in halophyte community formation and it was thought to be secondary factors whether tillage was conducted or/and whether surface sealing formed.

Optimization of the Production of an Immunostimulant from a Marine Bacterium (해양미생물로부터 면역증강물질의 생산 최적화)

  • 최혜정;정명주;정영기
    • Journal of Life Science
    • /
    • v.12 no.6
    • /
    • pp.759-764
    • /
    • 2002
  • A halophilic bacterium for the production of the immunostimulant was isolated from domestic marine, it was identified as Burkholderia sp. IS-203. The optimal conditions for the production of the immunostimulant were 1 % dextrose and 1 % yeast extract in artificial sea water for carbon and nitrogen sources, respectively. The initial pH and growth temperature for the prodution were 8.0 and $30^{\circ}C$ under the presence of oxygen, respectively.

Production of Glutaminase (E.C. 3.2.1.5) from Zygosaccharomyces rouxii in Solid-State Fermentation and Modeling the Growth of Z. rouxii Therein

  • Iyer, Padma;Singhal, Rekha S.
    • Journal of Microbiology and Biotechnology
    • /
    • v.20 no.4
    • /
    • pp.737-748
    • /
    • 2010
  • Glutaminase production in Zygosaccharomyces rouxii by solid-state fermentation (SSF) is detailed. Substrates screening showed best results with oatmeal (OM) and wheatbran (WB). Furthermore, a 1:1 combination of OM:WB gave 0.614 units/gds with artificial sea water as a moistening agent. Evaluation of additional carbon, nitrogen, amino acids, and minerals supplementation was done. A central composite design was employed to investigate the effects of four variables (viz., moisture content, glucose, corn steep liquor, and glutamine) on production. A 4-fold increase in enzyme production was obtained. Studies were undertaken to analyze the time-course model, the microbial growth, and nutrient utilization during SSF. A logistic equation ($R^2$=0.8973), describing the growth model of Z. rouxii, was obtained with maximum values of ${\mu}_m$ and $X_m$ at $0.326h^{-1}$ and 7.35% of dry matter weight loss, respectively. A goodfit model to describe utilization of total carbohydrate ($R^2$=0.9906) and nitrogen concentration ($R^2$=0.9869) with time was obtained. The model was used successfully to predict enzyme production ($R^2$=0.7950).