Journal of Environmental Impact Assessment 2021 KCI Impact Factor : 0.74

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pISSN : 1225-7184
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2017, Vol.26, No.2

  • 1.

    Spatio-Temporal Monitoring of Soil CO2 Fluxes and Concentrations after Artificial CO2Release

    김현준 , 한승현 , Seongjun Kim and 3 other persons | 2017, 26(2) | pp.93~104 | number of Cited : 2
    Abstract PDF
    CCS (Carbon Capture and Storage) is a technical process to capture CO2 from industrial and energy-based sources, to transfer and sequestrate impressed CO2 in geological formations, oceans, or mineral carbonates. However, potential CO2 leakage exists and causes environmental problems. Thus, this study was conducted to analyze the spatial and temporal variations of CO2 fluxes and concentrations after artificial CO2 release. The Environmental Impact Evaluation Test Facility (EIT) was built in Eumseong, Korea in 2015. Approximately 34kg CO2 /day/zone were injected at Zones 2, 3, and 4 among the total of 5 zones from October 26 to 30, 2015. CO2 fluxes were measured every 30 minutes at the surface at 0m, 1.5m, 2.5m, and 10m from the CO2 releasing well using LI-8100A until November 13, 2015, and CO2 concentrations were measured once a day at 15cm, 30cm, and 60cm depths at every 0m, 1.5m, 2.5m, 5m, and 10m from the well using GA5000 until November 28, 2015. CO2 flux at 0m from the well started increasing on the fifth day after CO2 release started, and continued to increase until November 13 even though the artificial CO2 release stopped. CO2 fluxes measured at 2.5m, 5.0m, and 10m from the well were not significantly different with each other. On the other hand, soil CO2 concentration was shown as 38.4% at 60cm depth at 0m from the well in Zone 3 on the next day after CO2 release started. Soil CO2 was horizontally spreaded over time, and detected up to 5m away from the well in all zones until CO2 release stopped. Also, soil CO2 concentrations at 30cm and 60cm depths at 0m from the well were measured similarly as 50.6±25.4% and 55.3±25.6%, respectively, followed by 30cm depth (31.3±17.2%) which was significantly lower than those measured at the other depths on the final day of CO2 release period. Soil CO2 concentrations at all depths in all zones were gradually decreased for about 1 month after CO2 release stopped, but still higher than those of the first day after CO2 release stared. In conclusion, the closer the distance from the well and the deeper the depth, the higher CO2 fluxes and concentrations occurred. Also, long-term monitoring should be required because the leaked CO2 gas can remains in the soil for a long time even if the leakage stopped.
  • 2.

    Evaluation of the environmental and ecological value indicators for railway development area selection

    김민경 , KIM, DONGYEOB | 2017, 26(2) | pp.105~113 | number of Cited : 4
    Abstract PDF
    Recently mountain tourism has been promoted and introduction of railroads with utilizing mountain resources is being planned. With the government policies to increase the share of eco-friendly transportation on railroad, national double-tracking of single rail and improvement projects are on going. However, the eco-friendly railroad policy suggests the environmental impact assessment items only on air quality, water quality, geographical/geological features, fauna/flora, natural/environmental resources, noise/ vibration, and recreation/landscape. And for fauna/flora and natural/environmental resources, confirming the presence of environmental protection zone is enough to satisfy legal requirement. This study suggested to evaluate environmental/ecological values with quantitative data. Evaluation indices and evaluation items have been selected to provide the data. Each of the subject map and railroad network was overlapped. The study selected naturalness and diversity as major indicators and calculated weight values of the items under the indicators, which are to be usd for the selection of the sites for railway development. This assessment method could be applied to the environmentally friendly construction of railroads in the future.
  • 3.

    Comparing climate projections for Asia, East Asia and South Korea

    Choe, Hyeyeong , James H. Thorne , Lee, Dong Kun | 2017, 26(2) | pp.114~126 | number of Cited : 0
    Abstract PDF
    Many studies on climate change and its impacts use a single climate scenario. However, one climate scenario may not accurately predict the potential impacts of climate change. We estimated temperature and precipitation changes by 2070 using 17 of the CMIP5 Global Climate Models (GCMs) and two emission scenarios for three spatial domains: the Asian continent, six East Asia countries, and South Korea. For South Korea, the range of increased minimum temperature was lower than for the ranges of the larger regions, but the range of projected future precipitation was higher. The range of increased minimum temperatures was between 1.3 ˚C and 5.2 ˚C, and the change in precipitation ranged from - 42.4 mm (- 3.2%) and + 389.8 mm (+ 29.6%) for South Korea. The range of increased minimum temperatures was between 2.3 ˚C and 8.5 ˚C for East Asia countries and was between 2.1 ˚C and 7.4 ˚C for the Asian continent, and the change in precipitation ranged from 28.8 mm (+ 6.3%) and 156.8 mm (+ 34.3%) for East Asia countries and from 32.4 mm (+ 5.5%) and 126.2 mm (+ 21.3%) for the Asian continent. We suggest climate change studies in South Korea should not use a single GCM or only an ensemble climate model’s output and we recommend to use GFDL-CM3 and INMCM4 GCMs to bracket projected change for use in other national climate change studies to represent the range of projected future climate conditions.
  • 4.

    Estimating carbon uptake in forest and agricultural ecosystems of Korea and other countries using eddy covariance flux data

    이보라 , WANMO KANG , Chung Ki Kim and 2 other persons | 2017, 26(2) | pp.127~139 | number of Cited : 5
    Abstract PDF
    Measurements of net ecosystem exchange (NEE) of CO2 based on the eddy covariance technique provide reasonable carbon balance estimates in response to local environmental conditions. In South Korea, the forest ecosystems cover approximately 64% of the total area, thereby strongly affecting regional carbon balances. Cultivated croplands that cover about 17% of the total area should also be considered when calculating the carbon balance of the country. In this study, our objectives were (a) to quantify the range and seasonal variation of NEE at forest ecosystems, including deciduous, coniferous, and mixed forests, and agricultural ecosystems, including rice paddies and a potato field, in South Korea and (b) to compare NEE at ten Fluxnet sites that have the same or similar ecosystems as found in South Korea. The results showed that the forest and agricultural ecosystems were carbon sinks. In Korea, NEE at the forest ecosystems varied between -31 and -362 gC/m2/yr, and NEE at the croplands ranged from -210 to -248 gC/m2/growing season. At the deciduous forest, NEE reached low values in late spring, early summer, and early autumn, while at the coniferous forest, it reached low values in spring, early summer, and mid autumn. The young mixed forest was a much stronger carbon sink than the old-growth deciduous and coniferous forests. During each crop growing season, beet had the lowest NEE value within six crops, followed by wither wheat, maize, rice, potato, and soybean. These results will be useful for designing and applying management strategies for the reduction of CO2 emissions.
  • 5.

    The Characteristics of Vascular Plants Distributed in Hannam-Jeongmaek - Focused on Mt. Munsu, Mt. Gyeyang, Mt. Suri and Mt. Gwanggyo -

    OH, HYUN-KYUNG , KIM. D. P , 유주한 | 2017, 26(2) | pp.140~159 | number of Cited : 5
    Abstract PDF
    The purpose of this study is to construct the information of natural resources and the basic data for assessing the Korean natural environment by objective surveying and analysing vascular plants distributed in the main survey sites of Hannam-Jeongmaek. The vascular plants were summarized, numbering 488 taxa including 102 families, 300 genera, 428 species, 4 subspecies, 50 varieties and 6 forms. The rare plants were 4 taxa including Aristolochia contorta(LC), Viola albida(LC), Chionanthus retusus(LC) and Tylophora floribunda(VU). The Korean endemic plants were 7 taxa including Salix koriyanagi, Clematis brachyura, Clematis trichotoma, Philadelphus schrenckii, Paulownia coreana, Weigela subsessilis and Cirsium setidens. The specific plants by floristic region were 29 taxa including 1 taxa of grade Ⅳ, 3 taxa of grade Ⅲ, 5 taxa of grade Ⅱ and 20 taxa of grade Ⅰ. The naturalized plants were 52 taxa including Fallopia dentatoalata, Rumex obtusifolius, Helianthus tuberosus, Dactylis glomerata, Phleum pratense and so forth. The invasive alien plants were 7 taxa including Rumex acetosella, Sicyos angulatus, Ambrosia artemisiifolia, Ambrosia trifida, Aster pilosus, Eupatorium rugosum and Lactuca scariola.
  • 6.

    The Habitat Classification of mammals in Korea based on the National Ecosystem Survey

    이화진 , 하정욱 , JinYeol Cha and 5 other persons | 2017, 26(2) | pp.160~170 | number of Cited : 2
    Abstract PDF
    The purpose of this study is to perform clustering of the habitat types and to identify the characteristics of species in the habitat types using mammal data (70,562) of the 3rd National Ecosystem Survey conducted from 2006 to 2012. The 15 habitat types recorded in the field-paper of the 3rd National ecosystem survey were reclassified, which was followed by the statistical analysis of mammal habitat types. In the habitat types cluster analysis, non-hierarchical cluster analysis (kmeans cluster analysis), hierarchical cluster analysis, and non-metric multidimensional scaling method were applied to 14 habitat types recorded more than 30 times. A total of 7 Orders, 16 Families, and 39 Species of mammals were identified in the 3rd National Ecosystem Survey collected nationwide. When 11 clusters were classified by habitat types, the simple structure index was the highest (ssi = 0.07). As a result of the similarities and hierarchies between habitat types suggested by the hierarchical clustering analysis, the residential areas were the most different habitat types for mammals; the next following type was a cluster together with rivers and coasts. The results of the non-metric multidimensional scaling analysis demonstrated that both Mus musculus and Rattus norvegicus restrictively appeared in a residential area, which is the most discriminating habitat type. Lutra lutra restrictively appeared in coastal and river areas. In summary, according to our results, the mammalian habitat can be divided into the following four types: (1) the forest type (using forest as the main habitat and migration route); (2) the river type (using water as the main habitat); (3) the residence habitat (living near residential area); and (4) the lowland type (consuming grain or seeds as the main feeding resource).