• Journal of Korean Society of Rural Planning
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• v.20 no.4
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• pp.25-33
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• 2014

This study has intended to build a rural landscape evaluation model based on an integrated landscape assessment paradigm of rural region using an additive integration index method and applied the model to the Seondong Region of Gochang-gun, Jeollabuk-do, Korea. To reach this goal, this study developed a model to calculate Integrated Landscape Assessment Index. The model has employed the Objective Landscape Index, the Subjective Landscape Index, and the weighted values, and was applied to the Seondong region. This study has found the following results: 1) forests and water spaces were assessed with relatively better visual preferences and better landscape ecosystem; 2) the historic cultural area and scenic agriculture as well as general farm land were assessed with moderate ratings; and, 3) the villages included in development plan, their adjacent arable farming land, and the village watercourses were forming relatively poorer landscape.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.15 no.5
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• pp.129-144
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• 2012

This study was conducted to understand the community characteristics of benthic macroinvertebrates according to Growth Environment at 6 Palustrine Wetlands in a rural area. As growth environment factors, size, water depth, water inlet and water outlet, land-use and water environment was analyzed. Two years' quantitative collection of benthic macroinvertebrate was carried out, and it executed community analysis and ESB index calculation and also carried out twinspan, MDS and correlation analysis. As a result, the collected benthic macroinvertebrate was 1254 individuals with 3 Phylums, 6 Classes, 14 Orders, 35 Families, 52 Genera and 61 Species. Odonata and Coenagreionidae had the highest species and individuals. Dominance Index was 0.252~0.698, Diversity Index was 1.661~2.902, Evenness Index was 0.414~0.724, and Species Richness Index was 1.990~6.224. As a result of community analysis, when correlation analysis was executed, Dominance Index had the opposite tendency with Diversity Index and Evenness Index, which had the same tendency with the previous studies. When ESB Index was calculated, Grade 2 (polluted) had the highest species with 48 species (78.7%). It is determined from the Environmental quality evaluation and saprobity evaluation result according to ESB index that there is a need to revise environmental evaluation system more specifically. As a result of MDS analysis, the subject spots A and D had the highest similarity, and the subject spot E and D had a relatively high similarity. The life environment that is the closest related with species diversity is estimated by the land-use. As for number of Individual, it seems to have the closest relation with inlet, which is to be determined as a characteristics of Palustrine Wetland. Through such investigation, this study is expected to be utilized for various types of habitats including ecological pond and to be utilized for the increase of species diversity in rural areas.

• Journal of Environmental Impact Assessment
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• v.14 no.4
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• pp.237-245
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• 2005

We investigated the water environmental assessment by the species biotic index (SBI) of freshwater fish at the Namdaecheon in Gangneung city, Gangweon-do during June and July in 2004 and June in 2005. In fish fauna, 29 species and 10 families were collected. Dominant species was Zacco platypus (relative abundance 15.33%) and subdominant species was Rhynchocypris steindachneri (13.13%). Species biotic index (SBI) in station 1, 2, 3, 4 was 1.70, 2.85, 1.00 and 3.39 respectively and water environmental grade by SBI was all very good. Station 5 was 4.13 in SBI and good grade. Station 6 was 4.47 and fairly good. Station 7 was 7.25 and poor. And station 8 was 8.10 and very poor grade. Results of water environmental grade by SBI and water quality grade were very similar in this stream.

• Proceedings of the KSRS Conference
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• 2002.10a
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• pp.250-255
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• 2002

This paper describes the study methods of identifying forest vegetation types, based on this study, forest vegetation classification method based on vegetation index is proposed. According to reflectance data of vegetation canopy and soil line equation NIR=1.506R+0.0076 in Jingyuetan, Changchun, China, many vegetation index are calculated and analyzed. The relationships between vegetation index and vegetation types are that PVI identifies broadleaf forest and conifer forest the most easily, the next is TSAVI and MSAVI, but their calculation is complex. RVI values of different conifer trees vary obviously, so RVI can classify conifer trees. In a word, combination of PVI and RVI is evaluated to classify different vegetation types.

• Journal of Environmental Science International
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• v.32 no.5
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• pp.365-374
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• 2023

Eight years (2014-2021) of climate data were collected from an automatic weather observation system installed at the foot of Mt. Geumo in Chilgok, Gyeongbuk. Using these data, we investigated local bio-climatological indices (warmth index, WI; coldness index, CI; and effective accumulated temperature, EAT) of the mountain region adjacent to the Keimyung Dongyeong forest. The study area's WI and CI were 109.3℃ and -11.3℃ per month, respectively, averaged across 8 years. These values are indicative of an evergreen broad-leaved forest in the warm temperate climate zone, suitable for cultivating sweet persimmons and figs. Additionally, EAT in Dongyeong was 2,113.7℃, averaged across 8 years, suitable for growing crops such as corn, soybean, and potato.

• Asian Journal of Business Environment
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• v.12 no.1
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• pp.17-24
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• 2022

Purpose: This study aims to determine the effect of economic agents, such as the amount of government expenditure on the environment, households, manufacturing industry, and shipping activities; on environmental degradation in Indonesia. Research design, data, and methodology: This study is conducted with 264 observations from panel data of 33 provinces during 2010-2017. Environmental degradation is measured by using the environmental quality index collected from Indonesian Ministry of Forestry and Indonesian Central Bureau of Statistics. Three testing models are used to test the panel data, namely Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Results: The research findings show that the amount of government expenditure on the environment, households, and shipping activities have a negative and significant effects on environmental degradation, while the number of manufacturing industry has positive and significant effect on environmental degradation. Unlike the previous studies, the result also shows that government expenditure on environmental has a positive and significant effect on environmental quality index. Conclusion: It can be concluded that even though Indonesian government spent a low budget on environment, their environmental regulation has succeeded both in reducing environmental degradation and increasing the environmental quality as indicated by Indonesian environmental quality index.

• Asian Journal of Atmospheric Environment
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• v.9 no.2
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• pp.101-113
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• 2015

Air quality index (AQI) or air pollution index (API) is commonly used to report the level of severity of air pollution to public. A number of methods were developed in the past by various researchers/environmental agencies for determination of AQI or API but there is no universally accepted method exists, which is appropriate for all situations. Different method uses different aggregation function in calculating AQI or API and also considers different types and numbers of pollutants. The intended uses of AQI or API are to identify the poor air quality zones and public reporting for severity of exposure of poor air quality. Most of the AQI or API indices can be broadly classify as single pollutant index or multi-pollutant index with different aggregation method. Every indexing method has its own characteristic strengths and weaknesses that affect its suitability for particular applications. This paper attempt to present a review of all the major air quality indices developed worldwide.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.31 no.4D
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• pp.613-622
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• 2011

The aim of this study is to provide fundamental references for the establishment of environmental policies by using and evaluating EPI (Environmental Performance Index). Data of EPI for this study come from the 2010 World Economic Forum. By using these variables, we have comparison analysis of EPI of 163 countries. Next, the object of similarity analysis using MDS is the OECD countries and shown on PREMAP, drawing the position of each nation in environmental category and environmental policy index. The result of this study shows that there are differences in environmental policy index according to each nation's income and furthermore, similarity analysis makes it possible to locate environmental policy index of each nation in an awareness, which would help to set directions of policies concerning environment through the comparison with other advanced countries. But it could be more worth investigating time-series analysis for the change of environment-related variables because EPI has been just four times published since its first announcement in 2002. Despite, such limits would be overcome through continuous data collected over time.

• Journal of Environmental Impact Assessment
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• v.32 no.2
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• pp.146-156
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• 2023

Since the tourism complex development projects is promoted for areas with good natural environment and excellent landscapes, it has s significant environmental impact on the surrounding area. Therefore, this study investigated the current status and various environmental influences of tourist complex based on environmental impact assessment reports from 2012 to 2021. Based on the results of the current status analysis of the development projects, EA-INDEX for the tourism complex development projects was developed and applied to comprehensively and quantitatively analyze various environmental impacts. Through this, we investigated eco-friendliness of the development projects by year in the natural environment conservation sector, resource conservation sector, and living environment protection sector. As a result we found that the tourism complex development projects were carried out in a way that increases eco-friendliness over the past ten years, especially in in the natural environment conservation sector. On the other hand, in the case of resource conservation, it has been confirmed that eco-friendliness is decreasing, so it is necessary to make efforts to improve it when establishing new development plans in the future. It is expected that the result of this study will be useful for identifying the development trend and environmental impact of development projects. If an analysis is made that synthesizes information such as policy events and social issues related to development projects in the future, it is also expected that a broader explanation will be possible to identify trends in development projects using EA-INDEX.

• Proceedings of the Korea Society of Environmental Biology Conference
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• 2002.05a
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• pp.15-15
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• 2002