• Korean Journal of Environmental Biology
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• v.18 no.1
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• pp.163-198
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• 2000

This study aim was to propose plant taxa as an alternative proposal for the purpose of solving many kinds of difficulties occurred in the floral item of environmental impact assessment (EIA) used to date. Plant taxa presented here for environmental assessment can probably be useful in understanding the excellence of natural environment to specific regional space as well as in determining the order of priority as to species preservation. These taxa, selected by the floristic analysis with distributional range, can be classified into five degrees: the fifth degree, characterized by the discontinuous and/or isolated distribution, includes 83 taxa, 76 genera, 41 families; the fourth degree, occurred in only one subprovince as southern and northern plants, includes 314 taxa, 217 genera, 78 families; the third degree, two subprovinces as southern and northern plants, includes 307 taxa, 223 genera, 93 families; the second degree, generally distributed more than 1,000 meter in altitude, a whole subprovince, includes 109 taxa, 92 genera, 43 families; the first degree, at least three subprovinces, includes 258 taxa, 207 genera, 91 families. The taxa mentioned here environmental assessment, therefore, summed up to 1,071 taxa, 559 genera, 142 families from the Korean flora. It is suggested that the taxa belonging to the fifth degree might structually have by far extinctive possibility in respond to environmental damage comparing with other degrees, simply because these have narrow distributional ranges. [Floristics, Korean flora, Geographical distribution, Natural environment, Environmental assessment, Plant taxa].

• Journal of Korean Society on Water Environment
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• v.25 no.6
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• pp.863-871
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• 2009

For the assessment of climate change impacts on river flow condition, CGCM 3.1 T63 is selected as future climate information. The projections come from CGCM used to simulate the GHG emission scenario known as A2. Air temperature and precipitation information from the GCM simulations are converted to regional scale data using the statistical downscaling method known as MSPG. Downscaled climate data from GCM are then used as the input data for the modified TANK model to generate regional runoff estimates for 44 river locations in Nakdong river basin. Climate change is expected to reduce the reliability of water supplies in the period of 2021~2030. In the period of 2051~2060, stream flow is expected to be reduced in spring season and increased in summer season. However, it should be noted that there are a lot of uncertainties in such multiple-step analysis used to convert climate information from GCM-based future climate projections into hydrologic information.

• Journal of Environmental Impact Assessment
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• v.16 no.1
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• pp.1-13
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• 2007

This study was carried out to estimate the emission reduction rates for the regional allowable emissions by special measures to achieve the target air quality in Seoul Metropolitan Area (SMA). A modeling system was designed to validate the details in enforcement regulations set up by local governments based on the current status and plans for air quality improvement. Modeling system was composed of meteorological model (MM5), emission model (SMOKE), and air quality model (CMAQ). Predicted results by this system show quiet well not only daily air pollutants concentration but also the tendencies of wind direction, wind speed and temperature. To achieve the target air quality in Seoul Metropolitan Area (SMA), emission allowances are estimated by seasons and regions. Referring to the base year 2002, it was estimated that emission reduction rates to achieve the intermediate goal in 2007 were 14.2% and 16.6% for NOx and $PM_{10}$, respectively. It was also estimated that 52% of NOx and 48% of $PM_{10}$ reductions from the base year 2002 would be required to accomplish the air quality improvement goal of 22 ppb for $NO_2$, and $40mg/m^3$ for $PM_{10}$ in year 2014. To improve $NO_2$ and $PM_{10}$ concentration through emissions reduction policies, it was found that emissions reduction for the on-road mobile sources would be the most effective in SMA.

• Journal of Korean Society of Rural Planning
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• v.21 no.1
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• pp.1-8
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• 2015

Population growth and increasing consumption of resources in the process of the industrial development has caused environmental pollution, climate change, and resource exhaustion. Therefore 'sustainable development' has become the important issue for the future. The sustainable development aims at effective resource use, less environmental impacts, and higher social security. Generally the rural area including agricultural fields and forest has various and plentiful natural resources which could make future development sustainable. To develop potential rural resources, the values for energy, environment and economy should be assessed considering the life-cycle of resources. The purposes of this study are to suggest the E3 (Energy, Environment, and Economy) assessment model for rural biomass considering life-cycle of resource and to apply the model to rice, the major agricultural product. As the results of this study, it turned out through E3 assessment that economic gain of rice cultivation is 578,374 won/10a, carbon absorption is $1,530kgCO_2/10a$, carbon emission is $926.65kgCO_2/10a$, and bio-energy potential of by-product is 394,028 kcal/10a. When E3 assessment was applied to by province, the results varied by regions because of the amount of input during cultivation. These results would be useful to realize the rural biomass and design regional resources plan in integrated E3 perspective.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.22 no.1
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• pp.1-11
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• 2019

This study suggested that various stakeholder can be participated in regional Environment planning and practical use of policy with rapid assessment of Ecosystem Services(ES). We applied to the rapid assessment of ES method to Ansan city and local registers selected Ecosystem assets that considered to space of ES. Ecosystem assets were measured 5 types Likert scale about 37 indicators of ES and confirm the main ES through the basic statistics. Furthermore Ecosystem assets classified according to similar character of ES. Ecosystem assets of Ansan were selected 47 site and Local climate regulation, Research and education, Primary production was high among the ES indicators. As a result two main group deduced that ecological education group(such as Research and education, Habitat) and safety regulation group(such as Air regulation, Fire regulation) through the factor analysis. In terms of location characteristics of each group, the ecological education-centered ecosystem assets were located near the downtown area, while the safety regulation group was located at the outskirts, such as mountains and coasts. This indicates that the ecological education about the habitat provision can be achieved in Ansan city downtown area and that outskirts should be approached from the aspect of ecological function to establish a plan. The result of Rapid assessment of ES, which can be lead a balanced and developmental consultation when establishing polices for environment planning and management in region.

• Journal of Environmental Impact Assessment
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• v.17 no.2
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• pp.133-141
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• 2008

The loss, alteration, and fragmentation of habitat have led to a reduction of biodiversity. The growing awareness of the negative effects of habitat fragmentation on natural systems has resulted in conservation strategy that is concerned with not only population and habitat level but also ecosystem and landscape level. Especially, ecological network to link core areas or major habitat patches is one of the most important issues. Recently, landscape connectivity is increasingly used in decision making for fragmented landscape management in order to conserve the biodiversity in the regional scale. The objective of this study was to find potential forest as a ecological corridor in Go-yang city, Gyung-gi province using cost-distance modelling method that can measure connectivity based on animal movement. 'Least cost-distance' modelling based on functional connectivity can be useful to establish ecological network and biodiversity conservation plan. This method calculates the distance modified with the cost to move between habitat patches based on detailed geographical information on the landscape as well as behavioural aspects of the animal movement. The least cost-distance models are based on two biologically assumptions: (1) dispersers have complete knowledge of their surroundings, and (2) they do select the least cost route from this information. As a result of this study, we can find wildlife moving route for biodiversity conservation. The result is very useful for long-term aspect of biodiversity conservation plan in regional scale, because this is reflection of geographical information and behavioural aspects of the animal movement.

• Journal of Environmental Health Sciences
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• v.43 no.3
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• pp.240-246
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• 2017

Objectives: This study was conducted to evaluate the vulnerability of the human health sector to $PM_{10}$ due to climate change in Incheon over the period of 2005-2014. Methods: Vulnerability to $PM_{10}$ consists of the three categories of climate exposure, sensitivity, and adaptive capacity. The indexes for climate exposure and sensitivity indicate positive effects, while adaptive capacity shows a negative effect on vulnerability to $PM_{10}$. The variables in each category were standardized by the rescaling method, and respective relative regional vulnerability was analyzed through the vulnerability index calculation formula of the Intergovernmental Panel on Climate Change. Results: Regions with a high exposure index were the western and northern urban areas with industrial complexes adjacent to a highway, including Bupyong-gu and Seo-gu. Major factors determining the climate exposure index were the $PM_{10}$ concentration, days of $PM_{10}$ >= $100{\mu}g/m^3$, and $PM_{10}$ emissions. The regions showing a high sensitivity index were urban regions with high populations; these commonly had a high mortality rate for related diseases and vulnerable populations. Conclusions: This study is able to support regionally adjusted adaptation policies and the quantitative background of policy priority since it provides information on the regional health vulnerability to $PM_{10}$ due to climate change in Incheon.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.917-930
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• 2021

Recently, as part of the crime prevention measures that focus on spatial characteristics on the determinants of crime-causing, interest in crime prevention (CPTED) through environmental design has been increasing. This study analyzed crime vulnerabilities in Ulju-gun for the purpose of establishing a master plan for crime prevention urban design (CPTED). The 12 indicators, including demographic, socioeconomic, and physical factors, were sampled from prior studies. As a next step, statistical analysis resulted in criminal vulnerability indexes. According to the analysis, districts with a high demographic crime vulnerability indexes were concentrated on apartment complexes, while districts with high socio-economic crime vulnerability indexes have low land prices and high proportion of female population. Also, the districts with high physical crime vulnerability indexes were found to be heavily distributed commercial ones with a large number of entertainment places. However, there was a limit to generalizing the indicators of previous studies to local governments with different regional characteristics. Therefore, further studies should be carried out by establishing additional indicators considering regional characteristics in the future.

• Economic and Environmental Geology
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• v.52 no.6
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• pp.573-586
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• 2019

A seismic hazard map based on spatial analysis of various sources of geologic seismic information was developed and assessed for regional seismic vulnerability in South Korea. The indicators for assessment were selected in consideration of the geological characteristics affecting the seismic damage. Probabilistic seismic hazard and fault information were used to be associated with the seismic activity hazard and bedrock depth related with the seismic damage hazard was also included. Each indicator was constructed of spatial information using GIS and geostatistical techniques such as ordinary kriging, line density mapping and simple kriging with local varying means. Three spatial information constructed were integrated by assigning weights according to the research purpose, data resolution and accuracy. In the case of probabilistic seismic hazard and fault line density, since the data uncertainty was relatively high, only the trend was intended to be reflected firstly. Finally, the seismic activity hazard was calculated and then integrated with the bedrock depth distribution as seismic damage hazard indicator. As a result, a seismic hazard map was proposed based on the analysis of three spatial data and the southeast and northwest regions of South Korea were assessed as having high seismic hazard. The results of this study are expected to be used as basic data for constructing seismic risk management systems to minimize earthquake disasters.

• Journal of Environmental Impact Assessment
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• v.25 no.4
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• pp.296-306
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• 2016

There is a growing interest in establishing a regional climate change adaptation policy as the climate change impact in the region and local scale increases. This study focused on the analysis of 32 regions on its characteristics of local climate change adaptation plans. First, statistic program R was used for conducting cluster analysis based on the frequency and budgets of adaptation plan. Further, we analyzed damage frequency from newspapers regarding climate change impacts in eight categories which were caused by extreme weather events on 2,565 cases for 24 years. Lastly, the characteristics of climate change adaptation plan was compared with damage frequency patterns for evaluating the adequacy of climate change adaptation plan on each cluster. Four different clusters were created by cluster analysis. Most clusters clearly have their own characteristics on certain sectors. There was a high frequency of damage in 'disaster' and 'health' sectors. Climate change adaptation plan and budget also invested a lot on those sectors. However, when comparing the relative rate among regional governments, there was a difference between types of damage and climate change adaptation plan. We assumed that the difference could come from that each region established their adaptation plans based on not only the frequency of damage, but vulnerability assessment, and expert opinions as well. The result of study could contribute to policy making of climate change adaptation plan.