• Title/Summary/Keyword: Integrated Assessment Model

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Enhancement and Application of SWAT Auto-Calibration using Korean Ministry of Environment 8-Day Interval Flow/Water Quality data (환경부 8일 유량.수질 자료를 이용한 SWAT 자동보정 모듈 개선 및 적용 평가)

  • Kang, Hyunwoo;Ryu, Jichul;Kang, Hyungsik;Choi, Jaewan;Moon, Jongpil;Choi, Joongdae;Lim, Kyoung Jae
    • Journal of Korean Society on Water Environment
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    • v.28 no.2
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    • pp.247-254
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    • 2012
  • Soil and Water Assessment Tool (SWAT) model has been widely used in estimation of flow and water quality at various watersheds worldwide, and it has an auto-calibration tool that could calibrate the flow and water quality data automatically from thousands of simulations. However, only continuous measured day flow/water quality data could be used in the current SWAT auto-calibration tool. Therefore, 8-day interval flow and water quality data measured nationwide by Korean Ministry of Environment (MOE) could not be used in SWAT auto-calibration even though long-term flow and water quality data in the Korean Total Maximum Daily Load (TMDL) watersheds available. In this study, current SWAT auto-calibration was modified to calibrate flow and water quality using 8-day interval flow and water quality data. As a result of this study, the Nash and Sutcliffe Efficiency (NSE) values for flow estimation using auto-calibration are 0.77 (calibration period) and 0.68 (validation period), and NSE value for water quality (T-P load) estimation (using the 8-day interval water quality data) is 0.80. The enhanced SWAT auto-calibration could be used in the estimation of continuous flow and water quality data at the outlet of TMDL watersheds and ungaged point of watersheds. In the next study, the enhanced SWAT auto-calibration will be integrated with Web based Load Duration Curve (LDC) system, and it could be suggested as methods of appraisal of TMDL in South Korea.

Design of Optimal Wet-Season Injection Well for Augmenting Groundwater Resources in Coastal Areas (해안지역 지하수자원 확충을 위한 우기 인공주입정의 최적설계)

  • Park, Nam-Sik;Shi, Lei;Cui, Lei;Lee, Chan-Jong;Mun, Yu-Ri
    • Journal of Korea Water Resources Association
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    • v.42 no.5
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    • pp.415-424
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    • 2009
  • Artificial injection of surplus surface water during wet seasons and recovery is one of possible solutions for conjunctive uses of surface water and groundwater. The methodology is especially attractive for regions of monsoon type weather. In this work a simulation-optimization model is developed to identify an optimal injection system to sustain an over-exploiting freshwater pumping well. The injection well is to be operated during wet seasons only while the pumping well is to be operated throughout an entire year. The objective function is the minimization of injected volume of freshwater. Saltwater intrusion and dry wells are considered as constraints. An example application is made on a small hypothetical island with poor hydrogeologic conditions. The optimization model is successful in determining optimal injection locations and rates for various cases.

Assessment of Future River Environment considering Climate Change and Basin Runoff Characteristics (기후변화와 유역유출특성을 고려한 미래하천환경 평가)

  • Ahn, Jung Min;Im, Toe Hyo;Lee, In Jung;Cheon, Se Uk
    • Journal of Korea Water Resources Association
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    • v.47 no.3
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    • pp.269-283
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    • 2014
  • This study evaluated the environmental impact based on watershed characteristics and climate change using RCP climate change scenarios provided by the Korea Meteorological Administration. Future dam inflow was estimated by the SWAT model. Dam safety evaluation and downstream duration curve analysis was performed using HEC-ResSim model. Trends of water quality was analyzed through seasonal-Kendall Test using existing water quality observation data. Release discharge and tributary runoff derived SWAT and HEC-ResSim models applied to Qual2E and the future change in water quality trends were analyzed. Integrated environmental review watershed following techniques will be able to obtain the river environment management system and environmental issues such as climate change, new guidelines for preemptively response will be provided.

Impact Assessment on the Forest Systems of the Korean Peninsula due to the Global Warming (지구온난화로 인한 한반도 삼림의 영향 평가)

  • Jung, Hui-Cheul;Jeon, Seong-Woo;Lee, Dong-Kun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.5 no.5
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    • pp.1-10
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    • 2002
  • 우리나라의 기후변화연구에서 삼림생태계의 영향과 적응은 가장 중요한 관심사중 하나이다. 지리적 위치와 통일문제 등을 고려할 때, 한반도는 역동적인 개발이 이루어질 지역이며 인구와 경제적 상황의 변화로 삼림 생태계에 급격한 변화가 예상된다. 기후변화의 영향은 이러한 상황을 더욱 복잡하게 만들게 될 것이다. 본 연구에서는 이런 영향을 평가하기 위해, IS92a 시나리오의 GCMs(General Circulation Models)결과들을 이용하여 가능한 기온 증가 범위내에서 삼림생태계의 변화를 예측하였다. 변화를 추정하기 위해 AIM/Impact[Korea](the Asian-Pacific Integrated Model) 모형을 이용하여 시기별 Holdridge 생물기후대를 예측하고 목본식물의 이동속도를 고려한 지역삼림의 영향 및 적응 패턴을 분석하여 생태계 변화로 인한 경제적 가치 손실액을 추정하였다. 분석 결과는 다음과 같이 요약된다. 1) 목본식물의 추정 평균이동속도 0.25km/년의 경우, 한반도에서 삼림소실지역은 발생하지 않는 것으로 예측되었다. 그러나 인위적 개입이 없는 경우 고사의 위험이 높은 지역은 남한의 경우 남한 총면적의 14%를 차지하였고, 북한은 18%정도의 면적이 고사 위험이 있는 것으로 나타났다. 남한 고사위험지역의 80%는 난온대림 지역으로 주로 남해일원과 전라도 서해안에서 발생하며, 북한은 고사위험지역의 대부분이 냉온대림지역으로 주로 평안도 내륙지역과 중국 접경지경, 함경남도의 영흥만 북부에서 나타났다. 2) 목본식물의 이동속도 변화에 따라 남한은 매년 0~976백만불, 북한은 0~2,492백만불 범위의 경제적 가치손실이 발생하는 것으로 예측되었다. 또한 목본식물의 추정 평균이동속도가 0.25km/년일 경우, 한반도 전체의 가치손실액은 매년 3,471백만불에 달했으며, 남한의 경우 목본식물의 이동속도가 0.5km/년 이상인 경우 삼림의 경제적 가치 손실은 발생하지 않았다.

In Silico Approach for Predicting Neurotoxicity (In silico 기법을 이용한 신경독성 예측)

  • Lee, So-yeon;Yoo, Sun-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.270-272
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    • 2022
  • Safety is one of the factors that prevent clinical drugs from being distributed on the market. In the case of neurotoxicity, which is the main cause of safety problems caused by drug side effects, risk assessment of drugs and compounds is required in advance. Currently, experiments for testing drug safety are based on animal experimetns, which have the disadvantage of being time-consuming and expensive. Therefore in order to solve the above problem, a neurotoxic prediction model through an in silico experiment was suggested. In this study, the category of neurotoxicity was expanded using a unified medical language system and various related compound data were obtained based on an integrated database. The SMILES (Simplified Molecular Input Line Entry System) of the obtained compounds were converted into fingerprints and it is used as input of machine learning. The model finally predicts the presence or absence of neurotoxicity. The experiment proposed in this study can reduce the time and cost required for the in vivo experiment. Furthermore, it is expected to shorten the research period for new drug development and reduce the burden of suspension of development.

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An Economic Evaluation of an Integrated Service Platform of Open Access Research Papers (오픈액세스논문 통합서비스플랫폼의 경제성 평가)

  • Kwon, Nahyun;Pyo, Soon Hee;Lee, Jungyeoun;Kim, Wan Jong;Moon, Sunung
    • Journal of the Korean Society for Library and Information Science
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    • v.56 no.3
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    • pp.265-290
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    • 2022
  • An economic evaluation was conducted using cost-benefit analysis for an integrated service platform of open access research articles. The data needed for benefit measurement were collected by conducting a series of surveys to service beneficiaries, including 1,313 academic researchers, 49 bio-industry researchers, and 102 researchers in various industries. Cost-benefit analysis and sensitivity analysis were conducted after estimating the total costs for system construction and operations, anticipated direct and indirect benefits. With respect to the cost-benefit analysis limited to direct benefits, the estimated benefit was KRW 82 billion, which is about 14 times of the total costs for eight years of the entire business period. With respect to the cost-benefit analysis for both direct and indirect benefits, BCR was estimated to be about 98.9 and NPV to be KRW 538.8 billion, indicating that economic feasibility of the project was sufficiently secured. The results of this analysis may help securing the investment to the integrated service platform for OA research products, and the benefit estimation model developed in this study would be utilized as an assessment tool during the rest of this project.

Management Strategy of Indoor Hazardous Chemicals (실내.외 통합 모델링 및 인체 위해성 평가를 통한 실내 유해화학물질의 관리 전략)

  • Shin, Yong-Seung;Lim, Hye-Sook
    • Journal of Environmental Policy
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    • v.7 no.2
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    • pp.67-90
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    • 2008
  • The purpose of this study is to develop indoor air quality management strategies regarding indoor air pollutants while considering various factors affecting indoor pollutants concentration. The Integrated Indoor Air Quality model(IIAQ) developed by Seoul National University is used for this study. The IIAQ model is a tool that can provide an integrated view to indoor environmental pollution by simulating suggested scenarios. The results of the modeling are used to assess health risk. The concentrations that are used for the risk characterization are weighted concentrations based on the period of time in each place and existing Indoor Air Quality(IAQ) standards. The estimated concentration of toluene and formaldehyde for 10 years through the IIAQ model was 207.3 $ug/m^3$ and 36.4 $ug/m^3$ in indoors, and 55.9 $ug/m^3$ and 8.62 $ug/m^3$ in outdoors. These concentrations are lower than the existing IAQ standards. The estimated carcinogenic risk of formaldehyde is up to 1.05E-03 for the adult male group and exceeds 1E-06 for all receptor groups. This value means that cancer could affect one person out of 1000. The estimated non-carcinogenic risk of toluene was lower than 1, which means that there was no serious non- carcinogenic risk. The result of modeling shows that using low emitting indoor sources is the most effective strategy for both formaldehyde and toluene. This risk assessment suggests that the total exposure levels of existing IAQ standards may cause serious carcinogenic risk. In order to avoid uncontrolled risk, it is suggested that the current IAQ standards should be adjusted by taking into account the total amount of exposure from all exposure pathways from indoor and outdoor sources.

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A Study on the Service Quality Evaluation in Electronic Customs Clearance Making Use of Kano-IGA Integrated Approach (Kano-IGA 통합접근법을 이용한 전자통관 서비스 품질의 평가에 관한 연구)

  • Song, Sun-Yok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.10
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    • pp.54-61
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    • 2019
  • This paper reports a comparative review of the service quality attributes of Electronic Customs Clearance (UNI-PASS) by applying the Kano model, Timko's BW coefficients, and IGA model, as reported by Tontini et al. in terms of a service quality evaluation of electronic customs clearance as the comprehensive national customs administration information system. In addition, this study examined which quality attributes should be focused on to improve the service quality and enhance customer satisfaction using the electronic customs clearance service. The Kano, Timko, and IGA models were classified into the four common quality attributes: attractive quality, one-dimensional quality, must-be quality, and indifferent quality. Because the integrated approach was used, one-dimensional quality was included in the area for critical improvement, while the must-be quality was included in the area for intensive maintenance. In addition, the indifferent quality was included in the area of carefree, while the attractive quality was included in the area of competitive advantage.

Development Strategy for New Climate Change Scenarios based on RCP (온실가스 시나리오 RCP에 대한 새로운 기후변화 시나리오 개발 전략)

  • Baek, Hee-Jeong;Cho, ChunHo;Kwon, Won-Tae;Kim, Seong-Kyoun;Cho, Joo-Young;Kim, Yeongsin
    • Journal of Climate Change Research
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    • v.2 no.1
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    • pp.55-68
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    • 2011
  • The Intergovernmental Panel on Climate Change(IPCC) has identified the causes of climate change and come up with measures to address it at the global level. Its key component of the work involves developing and assessing future climate change scenarios. The IPCC Expert Meeting in September 2007 identified a new greenhouse gas concentration scenario "Representative Concentration Pathway(RCP)" and established the framework and development schedules for Climate Modeling (CM), Integrated Assessment Modeling(IAM), Impact Adaptation Vulnerability(IAV) community for the fifth IPCC Assessment Reports while 130 researchers and users took part in. The CM community at the IPCC Expert Meeting in September 2008, agreed on a new set of coordinated climate model experiments, the phase five of the Coupled Model Intercomparison Project(CMIP5), which consists of more than 30 standardized experiment protocols for the shortterm and long-term time scales, in order to enhance understanding on climate change for the IPCC AR5 and to develop climate change scenarios and to address major issues raised at the IPCC AR4. Since early 2009, fourteen countries including the Korea have been carrying out CMIP5-related projects. Withe increasing interest on climate change, in 2009 the COdinated Regional Downscaling EXperiment(CORDEX) has been launched to generate regional and local level information on climate change. The National Institute of Meteorological Research(NIMR) under the Korea Meteorological Administration (KMA) has contributed to the IPCC AR4 by developing climate change scenarios based on IPCC SRES using ECHO-G and embarked on crafting national scenarios for climate change as well as RCP-based global ones by engaging in international projects such as CMIP5 and CORDEX. NIMR/KMA will make a contribution to drawing the IPCC AR5 and will develop national climate change scenarios reflecting geographical factors, local climate characteristics and user needs and provide them to national IAV and IAM communites to assess future regional climate impacts and take action.

A Study on Suitability of Technology Appraisal Model in Technology Financing (기술력 평가모형의 기술금융 활용 적합성 연구)

  • Lee, Jun-won;Yun, J.Y.
    • Journal of Korea Technology Innovation Society
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    • v.20 no.2
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    • pp.292-312
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    • 2017
  • The purposes of this research are to verify: first, if the technology appraisal model reflects the company's management performance and the rates of bankruptcy and overdue; second, if the existing classification system of technology levels is suitable; and third, which is the most important appraisal factor that defines the classification system of technology levels. As a result of the analysis, financial performance (stability) and non-financial performance (technology environment) proved to be significant variables in explaining technology ratings. According to the verification of the suitability of classification system, it appeared that there is a significant difference in all appraisal items of all groups. The result of neural networks model verification indicates that the most important variable was the R&D capacity, the second variables which determine the suitability of technology financing were indicators related to the company management. The second variables which determine a company's technological excellence were a company's technological base. To summarize, the technology appraisal model not only reflects both managerial performance and risks of a company, but also anticipates the future by converging the management competence and technological competitiveness into R&D capacity. This implies that if the 'forward-looking' technology appraisal model is integrated into the existing, credit rating model, the appraisal model may have positive impact on improving anticipation and stability.