• Journal of Environmental Impact Assessment
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• v.3 no.1
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• pp.31-41
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• 1994

The choice of economic development over environmental protection has been used to explain the decline in the quality of the environment in developing countries. The authors reject this explanation and propose a theory of negligence to explain this decline. They point to the advantages of environmental impact assessments in dealing with the problem of negligence and presents case studies from four countries. Organizational models for Environmental Impact Assessments in Developing Countries are proposed as useful policy measures.

• Journal of Environmental Impact Assessment
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• v.20 no.3
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• pp.269-279
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• 2011

Sustainability assessments tend to integrate ecological, social, and economic concerns. Sustainability assessment could be considered the highest rung in the assessment ladder. Broad strategies that seek to integrate individual SEA(Strategic Environmental Assessment) could be subjected to a sustainability assessment. Sustainability assessment could incorporate global and transboundary effects and priorities into SEA and project-level EIA(Environmental Impact Assessment). SEA could provide an environmental context and direction for project-level EIA. Procedural and substantive EIA requirements can be addressed through tiering such as sustainability assessment, SEA, project-level EIA. In Korea, PERS(Prior Environmental Review System) that has been utilized to evaluate administrative plans related with various kinds of development projects should be evolved not only to incorporate environmental impacts into early stage decision-making, but also to implicate sustainability assessments that include social equity and economic efficiency. Integration of SEA and sustainability assessment can be initiated through the application of DPSIR (Driving Force - Pressure - State - Impact - Response ) framework that was developed by European Environmental Agency.

• International Journal of Advanced Culture Technology
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• v.11 no.2
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• pp.381-388
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• 2023

Small-scale environmental impact assessments have limitations in terms of survey duration and evaluation resources, which can hinder the assessment and analysis of the current situation. In this study, we propose the use of drone technology during the environmental impact assessment process to supplement these limitations in the current situation analysis. Drone photography can provide rapid and accurate high-resolution images, allowing for the collection of various information about the target area. This information can include different types of data such as terrain, vegetation, landscape, and real-time 3D spatial information, which can be collected and processed using GIS software to understand and analyze the environmental conditions. In this study, we confirmed that terrain and vegetation analysis and prediction of the target area using drone photography and GIS analysis software is possible, providing useful information for environmental impact assessments.

• Proceedings of the Korean Environmental Health Society Conference
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• 2006.06a
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• pp.3-14
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• 2006

• Journal of Korean Society for Atmospheric Environment
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• v.15 no.6
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• pp.827-841
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• 1999

The air quality simulation models in wide use for air quality impact assessmetns are reviewed. After an intensive survey and comparative study upon the environmental impact assessment reports submitted to Ministry of Environment during 1990~1998, we could identify the major common problems with the air quality impact assessment procedures. Several remedies are presented here, including use of the screening models applicable to the complex terrain.

• Journal of Environmental Impact Assessment
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• v.21 no.6
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• pp.841-857
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• 2012

Preliminary ecological environmental assessments including physico-chemical constituents, water quality, fish fauna analysis, physical habitat health, and ecological health assessment were conducted as a primary step for Jeungchon micro-habitat ecosystem restoration in 2012. Water chemistry analysis of conductivity, dissolved oxygen, chlorophyll-a and etc. indicated that there were no significant differences(p < 0.05) among 6 sites between the headwaters and downstream. Multi-metric model analysis of Qualitative Habitat Evaluation Index(QHEI) showed that brooklets were at "good condition" as a mean QHEI of 158.7(n = 6) and the longitudinal differences of the model values between the sites were minor(QHEI range: 153 - 165). Total fish species and the number of individuals were 12 and 481, respectively, and dominant species were Zacco platypus(49.5%) and Zacco koreanus(36.8%). Tolerance guild analysis showed that the proportion of sensitive species($S_S$) had a negative linear function[$S_S=86.35-0.31(D_H)$; $R^2$ = 0.892, p < 0.01] with a distance from the headwaters, while the proportion of tolerant species($T_S$) had a positive linear function($R^2$ = 0.950, F = 90.28, p < 0.001) with the distance. Trophic feeding guild analysis showed that the proportion of insectivore species($I_n$) had a negative linear function($R^2$ = 0.934, p < 0.01) with a distance from the headwaters, while the proportion of omnivore species($O_m$) had a positive linear function($R^2$ = 0.958, p < 0.001) with the distance. Index of Biological Integrity(IBI) model, based on fish assemblages, showed a "fair condition" as a mean IBI of 23(n = 6), and there was a distinct differences of ecological health between the headwaters(S1 = 30; "good condition") and the downstreams(S6 = 14; "poor condition"). Overall, the preliminary environmental impact assessments suggest that water quality, physical habitat conditions(QHEI model), and ecological health(IBI model) were maintained well, even if the state was not an excellent conditions.

• Proceedings of KOSOMES biannual meeting
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• 2017.04a
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• pp.140-140
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• 2017

• Journal of the Korean Geosynthetics Society
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• v.18 no.4
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• pp.39-52
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• 2019

In this paper the development and implementation of an artificial intelligence (AI)-based Tunnelling Impact prediction and assessment program (SKKU-iTunnel) is presented. Program predicts tunnelling induced surface settlement and groundwater drawdown by utilizing well trained ANNs and uses these predicted values to perform the damage assessment likely to occur in nearby structures and pipelines/utilities for a given tunnel problem. Generalised artificial neural networks (ANNs) were trained, to predict the induced parameters, through databases generated by combining real field data and numerical analysis for cases that represented real field conditions. It is shown that program equipped with carefully trained ANN can predict tunnel impact assessments and perform damage assessments quiet efficiently and comparable accuracy to that of numerical analysis. This paper describes the idea and implementation details of the SKKU-iTunnel with an example for demonstration.

• Journal of Environmental Policy
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• v.7 no.1
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• pp.31-52
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• 2008

It has been attempted to minimize the environmental impacts due to railroad and road constructions. But assessments of the impact for the unwanted discharges by tunneling are still poorly systematic due to lack of scientific evaluation results ; thus, the tunneling projects frequently cause wide social conflicts. The goal of this study is to provide a guideline for appropriate environmental impact forecasts, assessments, and mitigation planning of tunneling projects.

• Journal of Environmental Policy
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• v.9 no.3
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• pp.29-46
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• 2010

This study presents plans to prevent environmental noise by using noise maps when establishing development projects and targets strategic environment assessments for urban master plans and environmental impact assessment for urban development projects. Strategic environment assessments for urban master plans include the examination of plan validity and location appropriateness in consideration of the effect of environmental noise by comparing development plans with noise maps, and the establishment of long-term measures through comprehensive assessment of present noise conditions and noise effects from development plans. Environmental impact assessments for urban development projects propose enforcement plans, including analysis of present noise conditions around development areas, overall evaluation of present noise conditions and the noise effect from development projects, and selection of optimal measures by comparing noise maps with various alternatives.