• 제목/요약/키워드: Regional Environmental Assessment

검색결과 397건 처리시간 0.032초

해양환경보전과 이용·개발의 상충 분석과 해양공간계획에 대한 시사점 (Diagnosis of Conflict Problem between the Marine Environmental Conservation and Development, and Policy Implication for Marine Spatial Planning)

  • 이대인;탁대호;김귀영
    • 한국해양환경ㆍ에너지학회지
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    • 제19권3호
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    • pp.227-235
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    • 2016
  • 최근 해양에서 이루어지고 있는 해역이용 개발 현황 분석을 통해 입지의 적정성과 환경영향 측면에서 상충될 수 있는 대표적인 개발사례를 진단하여 해양공간계획수립의 필요성에 대한 시사점을 제공하였다. 해양 신재생에너지개발(조력 및 해상풍력), 바다골재채취, 공유수면매립, 연안골프장 조성, 온배수 및 고염수 배출, 침식영향 개발사업 등의 주요 사례 분석결과, 해당 공간이용 및 관리방향 간의 상충성이 빈발하고, 누적환경영향에 따른 해양환경과 생태계 훼손, 어장이용과 이행당사자사이의 갈등이 지속적으로 나타나고 있는 상황이다. 이러한 이유는 개발 입지 및 주변 공간영역에 대한 충분한 현황 파악이 부족하고, 공간이용과 관련된 개별법의 상호성 및 연계성 평가가 미흡한 것과 관련되어 있다. 사전예방적인 해양환경관리 정책을 강화하기 위해서는 입지 적정성과 개발규모에 대한 평가 검토를 강화해야 할 것이다. 특히, 전략환경영향평가 등 상위계획 심의단계에서 입지와 규모의 적정성에 대한 평가 시, 해양공간이용 현황, 상위계획과 지역계획간의 연계성(특히, 연안관리지역계획과 통합계획), 해양수산규제지역과 보호대상 해양생물 분포 등 핵심 평가사항을 제시하도록 하여 보다 철저한 진단이 이루어져야 할 것이다. 지속가능한 보전과 개발의 조화를 위해서는 TOP-DOWN 방식의 해양공간계획 전략(연안과 EEZ, 광역과 협역 해역 등 전체적 Zoning과 Sector 연계성을 강화, 3차원 정보 포함 등)을 마련해야 하고, 이 과정에서 체계적이고 최신의 해양공간정보 속성자료 파악 및 공유를 위한 통합 정보시스템 구축이 필요할 것으로 판단된다. 해양수산과 관련된 전 부문, 즉, 항만 어항, 수산, 연안관리, 해양환경과 생태계 분야에서 해양공간이용의 상호적이고 일관성있는 전략이 필요할 것이다.

일강우를 고려한 SATEEC R 모듈 적용성 평가 (Evaluation of SATEEC Daily R Module using Daily Rainfall)

  • 우원희;문종필;김남원;최재완;김기성;박윤식;장원석;임경재
    • 한국물환경학회지
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    • 제26권5호
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    • pp.841-849
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    • 2010
  • Soil erosion is an natural phenomenon. However accelerated soil erosion has caused many environmental problems. To reduce soil loss from a watershed, many management practices have been proposed worldwide. To develop proper and efficient soil erosion best management practices, soil erosion rates should be estimated spatially and temporarily. The Universal Soil Loss Equation (USLE) and USLE-based soil erosion and sediment modelling systems have been developed and tested in many countries. The Sediment Assessment Tool for Effective Erosion Control (SATEEC) system has been developed and enhanced to provide ease-of-use interface to the USLE users. However many researchers and decision makers have requested to enhance the SATEEC system for simulation of soil erosion and sediment reflecting effects of single storm event. Thus, the SATEEC R factors were estimated based on 5 day antecedent rainfall data. The SATEEC 2.1 daily R factor was applied to the study watershed and it was found that the R2 and EI values (0.776 and 0.776 for calibration and 0.927 and 0.911 for validation) with the daily R were greater than those (0.721 and 0.720 for calibration and 0.906 and 0.881 for validation) with monthly R, which was available in the SATEEC 2.0 system. As shown in this study, the SATEEC with daily R can be used to estimate soil erosion and sediment yield at a watershed scale with higher accuracy. Thus the SATEEC with daily R can be efficiently used to develop site-specific soil erosion best management practices based on spatial and temporal analysis of soil erosion and sediment yield at a daily-time step, which was not possible with USLE-based soil erosion modeling system.

한강유역 관측유출자료가 지역홍수빈도분석 결과에 미치는 영향 (Effect of Observed Discharge Data on Regional Flood Frequency Analysis in the Han River Basin)

  • 김남원;이정은;이정우;정용
    • 한국수자원학회논문집
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    • 제48권6호
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    • pp.511-522
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    • 2015
  • 본 연구에서는 한강유역을 대상으로 관측홍수량 자료의 불확실성이 홍수빈도분석 결과에 미치는 영향을 평가하고자 하였다. 이를 위해 한강유역 내의 17개 수위관측지점의 홍수량 자료를 이용하여, 지역홍수빈도분석을 수행한 결과인 지수홍수와 분위수를 중심으로 정량적인 평가를 수행하였다. 연구결과는 관측자료의 특성에 따라 3가지 경우로 분류하여 분석하였다. 첫 번째로 수위자료의 영향을 파악하기 위해 평창강 유역의 수위관측지점을 대상으로 지역홍수빈도분석 결과를 분석하면, 평균홍수량에 대한 오차는 0.240으로 평가되었다. 두 번째로 레이팅 적용에 따른 관측자료의 불확실성이 지역홍수빈도분석 결과에 미치는 영향을 분석하였다. 해당연도에 개발된 레이팅을 각각 적용한 결과와 가장 최근 개발된 레이팅을 적용한 결과를 분석해보면, 평균홍수량에 대한 오차는 평균 0.246으로 평가되었다. 마지막으로 인위적으로 유량이 조절된 댐하류의 통제된 흐름영역에서의 지역홍수빈도 분석 결과를 유추하였다. 댐하류에서의 홍수량 거동은 댐운영에 의해 조절된 것으로 댐상류의 자연유역에서의 비유량 지역화 결과를 연장할 경우, 댐하류의 조절유역에서의 비유량 거동과 큰 차이를 나타내었다.

지역기후모형을 이용한 산림식생의 취약성 평가에 관한 연구 (A Study on the Vulnerability Assessment of Forest Vegetation using Regional Climate Model)

  • 김재욱;이동근
    • 한국환경복원기술학회지
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    • 제9권5호
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    • pp.32-40
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    • 2006
  • This study's objects are to suggest effective forest community-level management measures by identifying the vulnerable forest vegetation communities types to climate change through a comparative analysis with present forest communities identified and delineated in the Actual Vegetation Map. The methods of this study are to classify the climatic life zones based on the correlative climate-vegetation relationship for each forest vegetation community, the Holdridge Bio-Climate Model was employed. This study confirms relationship between forest vegetation and environmental factors using Pearson's correlation coefficient analysis. Then, the future distribution of forest vegetation are predicted derived factors and present distribution of vegetation by utilizing the multinomial logit model. The vulnerability of forest to climate change was evaluated by identifying the forest community shifts slower than the average velocity of forest moving (VFM) for woody plants, which is assumed to be 0.25 kilometers per year. The major findings in this study are as follows : First, the result of correlative analysis shows that summer precipitation, mean temperature of the coldest month, elevation, soil organic matter contents, and soil acidity (pH) are highly influencing factors to the distribution of forest vegetation. Secondly, the result of the vulnerability assessment employing the assumed velocity of forest moving for woody plants (0.25kmjyear) shows that 54.82% of the forest turned out to be vulnerable to climate change. The sub-alpine vegetations in regions around Mount Jiri and Mount Seorak are predicted to shift the dominance toward Quercus mongolica and Pinus densiflora communities. In the identified vulnerable areas centering the southern and eastern coastal regions, about 8.27% of the Pinus densiflora communities is likely to shift to sub-tropical forest communities, and 3.38% of the Quercus mongolica communities is likely to shift toward Quercus acutissima communities. In the vulnerable areas scattered throughout the country, about 8.84% of the Quercus mongolica communities is likely to shift toward Pinus densiflora communities due to the effects of climate change. The study findings concluded that challenges associated with predicting the future climate using RCM and the assessment of the future vulnerabilities of forest vegetations to climate change are significant.

낙동강수계 권역별 비점오염원 오염도 평가 (Evaluation of Pollution Level Attributed to Nonpoint Sources in Nakdonggang Basin, Korea)

  • 이재운;권헌각;최한영
    • 환경영향평가
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    • 제23권5호
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    • pp.393-405
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    • 2014
  • 본 연구에서는 권역별 수질평가 및 비점오염원 배출부하량을 산정하여, 낙동강수계 권역별 비점 오염원 오염도를 평가하고, 우선관리유역 선정 및 향후 관리방향을 설정하였다. 낙동강수계 수질평가를 실시한 결과, 중권역별 BOD농도를 기준으로 Ia등급에 해당하는 중권역이 10개, Ib등급이 6개, II등급이 5개, III등급이 1개 중권역에 해당하는 것으로 나타났다. COD 농도의 경우, Ib등급에 해당하는 중권역이 9개, II등급이 6개, III등급이 6개, IV등급이 1개 중권역에 해당하는 것으로 나타났다. 중권역 내 수질 오염도를 검토하여 오염도 순위를 적용하는 기준으로 하였으며, 그 결과 금호강 중권역, 낙동고령 중권역, 낙동밀양 중권역 및 남강 중권역이 선정되었다. 중권역별 토지계 원단위를 활용하여 비점오염원 배출부하량을 산정한 결과, 가장 많은 비점오염부하량을 배출하는 중권역은 금호강 중권역 으로 17,706.7 kg/day로 나타났다. 낙동강수계 비점오염원에 대한 수질평가 및 부하량 산정 결과 금호강중권역에 대한 비점오염원 관리가 가장 우선시 되어야 함을 알 수 있었다.

PSCF 모형의 개발과 제어변수의 결정 (Development of PSCF Model and Determination of Proper Values of Control Parameters)

  • 정장표;이승훈
    • 한국대기환경학회지
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    • 제22권1호
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    • pp.135-143
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    • 2006
  • The objective of this study is to develop PSCF (potential source contribution function) program and determine the optimal values of control parameters to enhance the prediction of PSCF modeling. This study provides an important information and methodologies that can be used to get better results of locating influencing sources, especially unknown and fugitive sources. To determine proper values of control parameters in PSCF model, the diagnostic assessment on the results obtained by the various input conditions was carried out. PSCF model has created and improved from version 1.0 to version 7.0 since 200 I and the measured data (at least > 100) of receptor, and the values of control input parameters should be arranged and determined to obtain reliable results in PSCF modeling. The size of modeling domain must be determined to include enough trajectories to get reliable results. And the size of grid is recommended to be 2.5 $\sim$ 5 degrees for global scale, 0.2 $\sim$ 1 degrees for regional scale and 0.05 degree for local scale.

Evaluating Feasibility of Soil Quality Assessment According to Soil Carbon Contents

  • Kim, Sung-Chul;Hong, Young Kyu;Lee, Sang Phil;Oh, Seung Min;Lim, Kyung Jae;Yang, Jae E.
    • 한국토양비료학회지
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    • 제50권1호
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    • pp.65-70
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    • 2017
  • Soil was regarded as infinite resources but recently, soil is considered as invaluable resources that we need to protect and conserve. Main objective of this research was to evaluate soil value in terms of soil carbon contents. Soil was classified into forest, paddy, upland, and grass. Carbon contents in each soil was calculated based on soil chemical properties. Calculated soil carbon contents was ranged $15.31-108.86mg\;kg^{-1}$. Based on soil carbon contents, soil value was assumed adapting economic concepts. Calculated total soil value based on soil carbon contents was about 18.46 trillion won. Among others, carbon contents in forest was the highest and value was assumed 11.95 trillion won followed by paddy field (3.7 trillion won).

Calculating Soil Quality Index for Biomass Production Based on Soil Chemical Properties

  • Kim, Sung-Chul;Hong, Young Kyu;Lee, Sang Phil;Oh, Seung Min;Lim, Kyung Jae;Yang, Jae E.
    • 한국토양비료학회지
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    • 제50권1호
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    • pp.56-64
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    • 2017
  • Soil quality has been regarded as an important factor for maintaining sustainability of ecosystem. Main purpose of this research was i) to select minimum factor for predicting biomass, and ii) to calculate soil quality index for biomass according to soil chemical properties. Result showed that soil pH, electrical conductivity (EC), soil organic matter (SOM), cation exchange capacity (CEC), and available phosphorus are minimum data set for calculating biomass production in soil. Selected representative soil chemical properties were evaluated for soil quality index and rated from 1 to 5 (1 is the best for biomass production). Percentage of each grade in terms of biomass production in national wide was 14.52, 35.23, 33.03, 6.47, 10.75% respectively. Although, only soil chemical properties were evaluated for calculating optimum soil quality, result of this research can be useful to understand basic protocol of soil quality assessment in national wide.

기후변화에 따른 보건 분야의 취약성 평가: O3을 중심으로 (Vulnerability Assessment of Human Health Sector due to Climate Change: Focus on Ozone)

  • 이재범;이현주;문경정;홍성철;김덕래;송창근;홍유덕
    • 한국대기환경학회지
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    • 제28권1호
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    • pp.22-38
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    • 2012
  • Adaptation of climate change is necessary to avoid unexpected impacts of climate change caused by human activities. Vulnerability refers to the degree to which system cannot cope with impacts of climate change, encompassing physical, social and economic aspects. Therefore the quantification of climate change impacts and its vulnerability is needed to identify vulnerable regions and to setup the proper strategies for adaptation. In this study, climate change vulnerability is defined as a function of climate exposure, sensitivity, and adaptive capacity. Also, we identified regions vulnerable to ozone due to climate change in Korea using developed proxy variables of vulnerability of regional level. 18 proxy variables are selected through delphi survey to assess vulnerability over human health sector for ozone concentration change due to climate change. Also, we estimate the weighting score of proxy variables from delphi survey. The results showed that the local regions with higher vulnerability index in the sector of human health are Seoul and Daegu, whereas regions with lower one are Jeollanam-do, Gyeonggi-do, Gwangju, Busan, Daejeon, and Gangwon-do. The regions of high level vulnerability are mainly caused by their high ozone exposure. We also assessed future vulnerability according to the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A2, A1FI, A1T, A1B, B2, and B1 scenarios in 2020s, 2050s and 2100s. The results showed that vulnerability increased in all scenarios due to increased ozone concentrations. Especially vulnerability index is increased by approximately 2 times in A1FI scenarios in the 2020s. This study could support regionally adjusted adaptation polices and the quantitative background of policy priority as providing the information on the regional vulnerability of ozone due to climate change in Korea.

산불위험지수 지역최적화를 통한 2022년 북한산불 사례분석 (Regional Optimization of Forest Fire Danger Index (FFDI) and its Application to 2022 North Korea Wildfires)

  • 윤유정;김서연;최소연;박강현;강종구;김근아;권춘근;서경원;이양원
    • 대한원격탐사학회지
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    • 제38권6_3호
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    • pp.1847-1859
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    • 2022
  • 북한에서 발생한 산불은 비무장지대 등으로 남하하는 경우 우리나라에 직·간접적인 영향을 줄 수 있다. 이에 본 연구는 정보 접근불능 지역인 북한의 산불위험정보를 획득하기 위하여 Local Data Assimilation and Prediction System (LDAPS) 기상자료 기반의 지역 최적화된 산불위험지수 Forest Fire Danger Index (FFDI)를 산출하고, 2022년 4월 북한 고성군과 철원군의 산불 사례에 적용하였다. 그 결과 발화일 당시 FFDI가 각각 위험등급 Extreme과 Severe 구간에 해당하여 적합성을 확인하였다. 또한 산불 발생 전후의 위험도지도와 토양수분지도를 정성적으로 비교한 결과 상호 관계성을 파악하였으며, 향후 토양수분, 표준화강수지수(Standardized Precipitation Index, SPI), 식생수분지수(Normalized Difference Water Index, NDWI) 등을 결합하는 방식으로 산불발생위험지수의 개선이 필요하다.