• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.1
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• pp.64-72
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• 2009

The method to generate a digital elevation model(DEM) from contour lines causes a problem in which the low relief landform cannot be clearly presented due to the fact that it is significantly influenced by the expression of micro landform elements according to the interval of contours. Thus, this study attempts to develop a landcover burning method that recovers the micro relief landform of the DEM, which applies buffering and map algebra methods by inputting the elevation information to the landcover. In the recovering process of the micro landform, the DEM was recovered using the buffering method and elevation information through the map algebra for the landcover element for the micro landform among the primary DEM generation, making landcover map, and landcover elements. The recovering of the micro landform was applied based on stream landforms. The recovering of landforms using the buffering method was performed for the bar, which is a polygonal element, and wetland according to the properties of concave/convex through generating contours with a uniform interval in which the elevation information applied to the recovered landform. In the case of the linear elements, such as bank, road, waterway, and tributary, the landform can be recovered by using the elevation information through applying a map algebra function. Because the polygonal elements, such as stream channel, river terrace, and artificial objects (farmlands) are determined as a flat property, these are recovered by inputting constant elevation values. The results of this study were compared and analyzed for the degree of landform expression between the original DEM and the recovered DEM. In the results of the analysis, the DEM produced by using the conventional method showed few expressions in micro landform elements. The method developed in this study well described wetland, bar, landform around rivers, farmland, bank, river terrace, and artificial objects. It can be expected that the results of this study contribute to the classification and analysis of micro landforms, plain and the ecology and environment study that requires the recovering of micro landforms around streams and rivers.

• Journal of Soil and Groundwater Environment
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• v.12 no.1
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• pp.73-86
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• 2007

Risk-based remediation strategy (RBRS) is a consistent decision-making process for the assessment and response to chemical release based on protecting human health and the environment. The decision-making process described integrates exposure and risk assessment practices with site assessment activities and remedial action selection to ensure that the chosen actions are protective of human health and the environment. The general sequences of events in Tier 1 is as follows: initial site assessment, development of conceptual site model with all exposure pathways, data collection on pollutants and receptors, and identification of risk-based screening level (RBSL). If site conditions do not meet RBSL, it needs further site-specific tier evaluation, Tier 2. In most cases, only limited number of exposure pathways, exposure scenarios, and chemicals of concern are considered the Tier 2 evaluation since many are eliminated from consideration during the Tier 1 evaluation. In spite of uncertainties due to the conservatism applied to risk calculations, limitation in site-specific data collections, and variables affecting the selection of target risk levels and exposure factors, RBRS provides us time- and cost-effectiveness of the remedial action. To ensure reliance of the results, the development team should consider land and resource use, cumulative risks, and additive effects. In addition, it is necessary to develop appropriate site assessment guideline and reliable toxicity assessment method, and to study on site-specific parameters and exposure parameters in Korea.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1072-1076
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• 2004

도시 개발에 의해 우수의 불투수지역 확대, 하천부지의 축소, 산림 및 유수지의 감소 등이 급속히 진행되어 하천유량의 변화, 지하수위의 저하, 용수의 고갈, 생태계의 파괴 등이 발생되어 왔다. 도시지역은 도시형 수해발생, 갈수시의 급수안전도 지하, 평시 하천유량의 감소, 공공수역의 수질악화, 지하수 오열 등 여러 가지 문제에 직면하고 있다. 이러한 문제들은 서울의 경우도 예외는 아니며 청계천 복원 사업과 더불어 그동안 방치되었던 도시유역의 물순환 체계를 분석할 필요가 있다. 본 연구에서는 SWAT 모형을 이용하여 도시하천 유역의 물순환을 해석하였다. SWAT모형은 미국 농무성 농업연구소(Agricultural Research Service, ARS)에서 개발된 모델로서, 내규모의 복잡한 유역에서 장기간에 걸친 다양한 종류의 토양과 토지이용 및 토지관리 상태에 따른 물과 유사 및 농업화학물질의 거동에 대한 토지관리 방법의 영향을 예측하기 위해 개발되었다. SWAT 모형은 물리적 이론에 근거한 연속모형으로 준분포형 (Semi-Distributed) 모형이다. 본 연구는 도시하천 유역의 물순환체계 변동을 고려한 물순환 정상화 기술을 개발하기 위한 기초단계로서, 청계천 유역에 내해 모형을 적용하였다. 청계천은 중랑천의 제1지류인 지방2급 하천으로 유역면적 $50.96km^2$, 유로연장 13.75km이며, 2003년 7월부터 ,5.9km의 본류구간에 대한 복원공사가 진행 중이다. 적용유역의 수문${\cdot}$기상${\cdot}$지하수 자료는 1993널 1월 1일 $\~$ 2002년 12월 31일까지의 서울 기상청 자료를 이용하였으며, 지형, 토양, 토지이용 자료는 기존에 구축된 GIS 자료를 이용하였다. 모형 적용결과, 도시하천 유역에 대한 SWAT 모형의 적용성을 확인할 수 있었으며 유역의 물순환계를 구성하는 강수, 지표수, 토양수, 지하수 및 하천수 등의 상호 관계 분석을 통해 장기간의 유역 물순환체계 변화를 분석할 수 있었다.

• Journal of Soil and Groundwater Environment
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• v.13 no.5
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• pp.1-7
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• 2008

Plan and management for Ecological Abandoned Mine Lands (AMLs) reuse using Geographic Information System (GIS) technique are an ideal method. GIS technique display, manage and analyze a spatially referenced data, which can be combined in user-defined ways to make plan and decision about AMLs reuse. Local communities are affected by AMLs. In the past, plan and management of AMLs have never been considered for ecological aspects as well as using GIS. However, the rapidly growing GIS technology have proven to be a valuable tool in the process of understanding environment and of making responsible environmental decisions. This paper suggests that making responsible decision and plan using GIS can create a various types of benefits to local communities. This also shows that GIS may play a vital role at the decision/planning process of analysis and exploration of local environmental situation. We are trying to apply to decision support system for AMLs reuse. Moreover, a lot of thematic maps are making using GIS providing a comprehensive data with images. These can be an ideal platform to deliver meaningful outcomes.

• Journal of the Korean Institute of Landscape Architecture
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• v.38 no.4
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• pp.106-127
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• 2010

Although multi-layer planting methods are more widely used as a method for clustered planting and environmental programs such as plant remediation, difficulties have been faced in applying those to planting design. This study develops a basic planting model that can be applied to multi-layer planting in basis on an analysis of forest structures in the Seoul area. An optimal number of clusters was determined through the ISA (Indicator Species Analysis), and 7 basic clusters were found through a cluster analysis by using PC ORD 4.0 software specifically developed for ecological analysis. The 7 basic clusters include the following communities: the Quercus acutissima Community, Sorbus alnifolia-Quercus mongolica Community, Pinus rigida-Pinus densifiora Community, Rododendron mucronulatum var. mucronulatum-Quercus mongolica Community, Juniperus rigida-Quercus mongolica Community, Rododendron mucronulatum var. mucronulatum-Pinus densiflora Community, and Rododendron sclippenbachii-Quercus mongolica Community. The study also selected 57 species with at least a 10% frequency among the plant species existing in the Seoul area and suggested both a companion species and available similar alternative species by conducting an additional interspecific association analysis. This study may help to enhance usefulness of the model in architectural planting design. In addition, the two results named above were synthesized to develop a multi-layer planting model that can be utilized in landscape planting design by selecting similar alternative species through the interspecific association analysis, which includes 7 clusters of natural plants. The multi-layer planting model can be widely applied to design planting because the model has an average target cover range based on the average value of a transformed likelihood.

• Korean Journal of Environment and Ecology
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• v.26 no.3
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• pp.394-405
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• 2012

The aim of this study was to propose methods to transplant for the ecosystem damage borrow pits. The research site is Junggun-dong Gwangyang-si Jeollanam-do. The total area of the site is approximately $199,026m^2$, but the area damaged by exploitation of soil and rocks is about $84,200m^2$. This signals the transplanting method to solve the problems of ecological destruction. The research will focus on the areas either which are evaluated as damaged or in which the development is inevitable. Therefore, this study will investigate the vegetation structure and their evolution, topological and soil character, and annual ring structure; in the end, the study will propose compensating and restoring options. This study proposed the selection of trees and their planting methods by using the models of the community transplantation(Quercus mongolica trees) and the tree transplantation(Pinus thunbergii trees). The study set out plans that will attempt to restore the Quercus mongolica forests and 89 Quercus mongolica trees of the canopy layer trees, 153 middle layer trees, and 661 shrubs are suitable. The tree transplantation utilized the existing Pinus thunbergii trees. The number of transplantation is 2,648. The total area of the transplantation topsoil is calculated to be $15,353m^3$. These study results must be contributed to reduce a damaged ecosystems and compensated damaged ecosystems for solving the problem of damaged borrow pits.

• Korean Journal of Ecology and Environment
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• v.40 no.2
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• pp.254-263
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• 2007

The objective of this study was to evaluate biological water quality using fish assemblages in Nakdong River watershed. We selected 6 sites along the main axis of the river and evaluated the Index of Biological Integrity (IBI), Qualitative Habitat Evaluation Index (QHEI) and chemical water quality during July 2004${\sim}$March 2006. For the study, we applied the 10 metric IBI model, which was developed for national biological water quality criteria. Nakdong River's IBI value averaged 20.8 (n=14) during the study which means poor biological water quality. Physical habitat health at all sites, based on QHEI model, was measured as 110, indicating fair${\sim}$good condition. The habitat health varied depending on the locations sampled. Habitat health in sites 1 and 6 was judged as good, while the health in sites 3 and 4 was $poor{\sim}fair$. Especially, we found the metric values of $M1{\sim}M5$, M7, M10 were low in sites 3 and 4 compared to other sites. In these sites, thus, habitat restoration of substrate composition, riffles, and bank vegetation may be necessary. In the mean time, chemical water quality, based on BOD, COD, TSS, and nutrients, had no large spatial and temporal variations. Overall data analysis indicated that site 3 was largely impacted by the polluted-tributary, Keumho River and the downstreams showed better water quality due to the dilution of the polluted river water by Nam River and Hwang River.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1341-1352
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• 2023

The normalized difference vegetation index (NDVI) derived from satellite images is a crucial tool to monitor forests and agriculture for broad areas because the periodic acquisition of the data is ensured. However, optical sensor-based vegetation indices(VI) are not accessible in some areas covered by clouds. This paper presented a synthetic aperture radar (SAR) based approach to retrieval of the optical sensor-based NDVI using machine learning. SAR system can observe the land surface day and night in all weather conditions. Radar vegetation indices (RVI) from the Sentinel-1 vertical-vertical (VV) and vertical-horizontal (VH) polarizations, surface elevation, and air temperature are used as the input features for an automated machine learning (AutoML) model to conduct the gap-filling of the Sentinel-2 NDVI. The mean bias error (MAE) was 7.214E-05, and the correlation coefficient (CC) was 0.878, demonstrating the feasibility of the proposed method. This approach can be applied to gap-free nationwide NDVI construction using Sentinel-1 and Sentinel-2 images for environmental monitoring and resource management.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.7 no.2
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• pp.75-86
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• 2004

This study aims to figure out ecological characteristic of natural forests focusing on vegetation as a way of ecological renovation for the restoration of naturalness for golf courses that were constructed in the Country and to present vegetation models and appropriate tree species for the purpose. The study site is P golf club, which is located in Gapyong-gun, Kyeonggi Province. The site is within a forest where the grade from the natural ecology map is the first one and the level from the green index accounts for the eight, thus showing a typical environment for a golf course in terms of location. The location of the site explains a reason for restoration. The major substance of the study is to conduct ecological evaluation of vegetation structures around and inside the golf course and to present a vegetation model. In order to evaluate the ecological characteristics of the vegetation structures, the analysis of the study covered succession stages, multi-layer vegetation structures and species diversity. Plant communities that have high species diversity were selected for the vegetation model and proper density and species were proposed considering the number of species and individuals and distances between trees. The vegetation restoration model targets succession into an oak forest. Within a unit of 100 $m^2$, the recommended model include a tall-tree layer with 11 trees such as Quercus serrata and Quercus mongolica, a sub-tall-tree layer with 12 trees including Quercus mongolica, Quercus serrata, Prunus sargentii, Fraxinus rhynchophylla and Acer pseudo sieboldianum, a shrub layer with 32 trees from 16 species, and a grass layer with a cover rate of 45 %. The proposed vegetation restoration model needs to apply to : 1) damaged natural forests by the construction of golf courses; 2) boundaries between golf courses and surrounding forests; 3) buffer zones; 4) open spaces in between courses; and 5) areas between greens and tees where open spaces are available in a mass. In conclusion, one of the most important factors in presenting a vegetation model for the restoration of naturalness in the golf course and other damaged forests is to provide multi-layer vegetation structures that are composed of native species. As for the specific application for the site, it is recommended to manage the vegetation in such a way that the environment of the site can have a similar environment to the surrounding forest which is expected to succeed into an oaks-dominant one.

• Korean Journal of Environment and Ecology
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• v.36 no.5
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• pp.460-467
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• 2022

In this study, we collected snake roadkill data from 2006 to 2017 and developed a species distribution model to identify the pattern of snake roadkill and predict the potential hotspot of snake roadkill in the Odaesan National Park of South Korea. During the study period, snake roadkills occurred most frequently on the road, which passes through between forest and stream at an altitude of about 600 m. The modeling result showed that the occurrence probability of snake roadkill was high on a road with a gentle slope at a distance of 25 m from the stream and an altitude of 600 m. The most susceptible regions for snake roadkill in the Odaesan National Park were located on National Route 6, about 2.2 km and 11.7 km away from the southern border of the park, and on Local Road 446, 3.44 km away from the southern border of the park. The results of this study suggest that providing alternative basking places and eco-corridors and installing protection fences that block the inflow of snakes into roads, preferentially around roads and streams at an altitude lower than 700 m would be an effective way of reducing snake roadkill in the Odaesan National Park.