• Title/Summary/Keyword: Topographic characteristics

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Analysis of Soil Erosion Reduction Ratio with Changes in Soil Reconditioning Amount for Highland Agricultural Crops (고랭지 농업의 작물별 객토량 변화에 따른 토양유실 저감 분석)

  • Heo, Sunggu;Jun, ManSig;Park, Sanghun;Kim, Ki-sung;Kang, SungKeun;Ok, YongSik;Lim, Kyoung Jae
    • Journal of Korean Society on Water Environment
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    • v.24 no.2
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    • pp.185-194
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    • 2008
  • There is increased soil erosion potential at highland agricultural crop fields because of its topographic characteristics and site-specific agricultural management practices performed at these areas. The agricultural upland fields are usually located at the sloping areas, resulting in higher soil loss, pesticides, and nutrients in case of torrential rainfall events or typhoon, such as 2002 Rusa and 2003 MaeMi. At the highland agricultural fields, the soil reconditioning have been performed every year to decrease damage by continuous cropping and pests. Also it has been done to increase crop productivity and soil fertility. The increased amounts of soil used for soil reconditioning are increasing over the years, causing significant impacts on water quality at the receiving water bodies. In this study, the field investigation was done to check soil reconditioning status for potato, carrot, and cabbage at the Doam-dam watershed. With these data obtained from the field investigation, the Soil and Water Assesment Tool (SWAT) model was used to simulate the soil loss reduction with environment-friendly and agronomically enough soil reconditioning. The average soil reconditioning depth for potato was 34.3 cm, 48.3 cm for carrot, and 31.2 cm for cabbage at the Doam-dam watershed. These data were used for SWAT model runs. Before the SWAT simulation, the SWAT ArcView GIS Patch, developed by the Kangwon National University, was applied because of proper simulation of soil erosion and sediment yield at the sloping watershed, such as the Doam-dam watershed. With this patch applied, the Coefficient of Determination ($R^2$) value was 0.85 and the Nash-Sutcliffe Model Efficiency (EI) was 0.75 for flow calibration. The $R^2$ value was 0.87 and the EI was 0.85 for flow validation. For sediment simulation, the $R^2$ value was 0.91 and the EI was 0.70, indicating the SWAT model predicts the soil erosion processes and sediment yield at the Doam-dam watershed. With the calibrated and validated SWAT for the Doam-dam watershed, the soil erosion reduction was investigated for potato, carrot, and cabbage. For potato, around 19.3 cm of soil were over applied to the agricultural field, causing 146% of more soil erosion rate, approximately 33.3 cm, causing 146% of more soil erosion for carrot, and approximately 16.2 cm, causing 44% of more soil erosion. The results obtained in this study showed that excessive soil reconditioning are performed at the highland agricultural fields, causing severe muddy water issues and water quality degradation at the Doam-water watershed. The results can be used to develop soil reconditioning standard policy for various crops at the highland agricultural fields, without causing problems agronomically and environmentally.

Assessment of Visual Characteristics on Bridge Landscapes in the Seashore (해안에 위치하는 교량경관의 시각적 특성평가)

  • Chun, Hyun-jin;Jiang, Long;Cheng, Yu-ning
    • Journal of Korean Society of Rural Planning
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    • v.22 no.3
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    • pp.63-70
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    • 2016
  • Due to the Korea's topographic characteristic, there are a lot of marine bridges to connect between islands and mainland. In addition, marine bridges play an important role in a regional landscape. For these reasons, landscape design of bridge is necessary in order to improve beautification of region. So, this studies analyzed image and landscape preference of marine bridges in rural area. The main results were summarized as follows: When rating the image of the background in sea and mountain image, 'stable' and 'natural' were rated highly. When rating the image of the arch bridge in sea and mountain image, 'beautiful', and 'attractive' were rated highly. When rating the image of the cable-stayed bridge in sea and mountain image, 'splendid', and 'attractive' were rated highly. When rating the image of the suspension bridge in sea and mountain image, 'beautiful', and 'splendid' were rated highly. Next, When rating the image of the background in sea and building image, 'stable' and 'natural' were rated highly. When rating the image of the arch bridge in sea and building image, 'beautiful', and 'splendid' were rated highly. When rating the image of the cable-stayed bridge in sea and building image, 'beautiful', and 'attractive' were rated highly. When rating the image of the suspension bridge in sea and building image, 'beautiful', and 'attractive' were rated highly. And, The image of suspension bridges in sea and mountain image is more highly preferred than other image. The background in sea and mountain image is landscape of the lowest preference. In the mountain and sea image, the preference of suspension bridge landscape has the highest rating. In the sea and building image, the preference of arch bridge landscape has the highest rating. In conclusion, the results illustrate that the marine bridge's shape and its background in rural area are important elements of a visual preference. When designing the marine bridge, designer have to choose a proper bridge shape for its background. However, this research's limitation is that this research consider only bridge shape and background to analyze landscape preference of marine bridges. Therefore, further research is necessary to consider various elements.

Comparison of Observation Performance of Urban Displacement Using ALOS-1 L-band PALSAR and COSMO-SkyMed X-band SAR Time Series Images (ALOS-1 L-band PALSAR와 COSMO-SkyMed X-band SAR 시계열 영상을 이용한 도심지 변위관측 성능 비교 분석)

  • Choi, Jung-Hyun;Kim, Sang-Wan
    • Korean Journal of Remote Sensing
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    • v.34 no.2_1
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    • pp.283-293
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    • 2018
  • We applied PSInSAR to two SAR satellite (ALOS-1 and COSMO-SkyMed) images and analyzed the difference in displacement observation performance according to sensor characteristics. The building layer was extracted from the digital topographic map, and the PS extracted from the SAR image was classified into two groups(building structure and ground surface) for density analysis. The density of PS extracted from the research area was $0.023point/m^2$ for ALOS-1 PALSAR and $0.1point/m^2$ for COSMO-SkyMed, more than 4 times PS was extracted compared to ALOS-1. In addition, not only the PS density in the building, but also the density in the ground were greatly increased. The average displacement velocity of ALOS-1 PALSAR is within ${\pm}1cm/yr$, while for COSMO-SkyMed it is within ${\pm}0.3cm/yr$. Although it is difficult to make quantitative comparisons because it does not use the data for the same period, it can be said that the accuracy of X-band SAR system is very high compared to the L-band. In consideration of PS observation density and observation accuracy of displacement, X-band SAR data is very effective in research where it is important to acquire useful signals from the ground surface, such as ground subsidence and sinkhole.

Seasonal Variations of Sedimentary Processes on Mesotidal Beach in Imjado, Southwestern Coast of Korea (한반도 서해남부 임자도 해빈 퇴적작용의 계절적 변화)

  • 류상옥;장진호;조주환;문병찬
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.9 no.3
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    • pp.83-92
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    • 2004
  • A continuous monitoring of textural characteristics of surface sediments, sedimentation rates and beach profile was carried out to investigate the seasonal variations of sedimentary processes in the Imjado beach, southwestern coast of Korea for two years. The beach profiles consist of steep beach face and relatively flat middle and low tide beaches. The slope of the beach face increases in summer and decreases in winter, in good accordance with the standard beach cycle. Ridge and runnel systems are well developed in the middle and low tide beaches during the summer, but these structures are replaced by mega-ripples during the winter. The sediments are fining southward as well as landward. The mean grain-size tends to be increasingly coarser during seasons of autumn and winter on the north beach and during seasons of winter and spring on the south one. In addition, the sediments are eroded on the north beach and accumulated on the south one as a whole. These are probably due to southward transportation of the sediments as long-shore current (NE-SW) runs around the coastal line of the beach. However, the seasonal variations in accumulation rates are very complex and irregular. It is considered that the Imjado beach represents in non-equilibrium state, as a result of coastal and submarine topographic changes by artificial agents and sea-level uprising associated with global warming.

Enhancement of Classification Accuracy and Environmental Information Extraction Ability for KOMPSAT-1 EOC using Image Fusion (영상합성을 통한 KOMPSAT-1 EOC의 분류정확도 및 환경정보 추출능력 향상)

  • Ha, Sung Ryong;Park, Dae Hee;Park, Sang Young
    • Journal of the Korean Association of Geographic Information Studies
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    • v.5 no.2
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    • pp.16-24
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    • 2002
  • Classification of the land cover characteristics is a major application of remote sensing. The goal of this study is to propose an optimal classification process for electro-optical camera(EOC) of Korea Multi-Purpose Satellite(KOMPSAT). The study was carried out on Landsat TM, high spectral resolution image and KOMPSAT EOC, high spatial resolution image of Miho river basin, Korea. The study was conducted in two stages: one was image fusion of TM and EOC to gain high spectral and spatial resolution image, the other was land cover classification on fused image. Four fusion techniques were applied and compared for its topographic interpretation such as IHS, HPF, CN and wavelet transform. The fused images were classified by radial basis function neural network(RBF-NN) and artificial neural network(ANN) classification model. The proposed RBF-NN was validated for the study area and the optimal model structure and parameter were respectively identified for different input band combinations. The results of the study propose an optimal classification process of KOMPSAT EOC to improve the thematic mapping and extraction of environmental information.

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Characteristic Analysis and Prediction of Debris Flow-Prone Area at Daeryongsan (대룡산 토석류 특성 분석 및 위험지역 예측에 관한 연구)

  • CHOI, Young-Nam;LEE, Hyung-Ho;YOO, Nam-Jae
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.3
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    • pp.48-62
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    • 2018
  • In this study, landslide of debris flow occurred at 51 sites around Daeryounsan located in between Chuncheon-si and Hongcheon-gun during July in 2013 were investigated in field and behavior characteristics of debris flow were analyzed on the basis of records of rainfall and site investigation. According to debris flow types of channelized and hill slope, location and slope angle of initiation and deposit zone, and width and depth of erosion were investigated along entire runout of debris flow. DEM(Digital Elevation Model) of Daeryounsan was constructed with digital map of 1:5,000 scale. Land slide hazard was estimated using SINMAP(Stability INdex MAPping) and the predicted results were compared with field sites where debris flow occurred. As analyzed results, for hill slope type of debris flow, predicted sites were quite comparable to actual sites. On the other hand, for channelized type of debris flow, debris flow occurrence sites were predicted by using stability index associated with topographic wetness index. As analyzed results of 4 different conditions with the parameter T/R, Hydraulic transmissivity/Effective recharge rate, proposed by NRCS (Natual Resources Conservation Service), predicted results showed more or less different actual sites and the degree of hazard tended to increase with decrease of T/R value.

Research of Runoff Management in Urban Area using Genetic Algorithm (유전자알고리즘을 이용한 도시화 유역에서의 유출 관리 방안 연구)

  • Lee, Beum-Hee
    • Journal of the Korean Geophysical Society
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    • v.9 no.4
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    • pp.321-331
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    • 2006
  • Recently, runoff characteristics of urban area are changing because of the increase of impervious area by rapidly increasing of population and industrialization, urbanization. It needs to extract the accurate topologic and hydrologic parameters of watershed in order to manage water resource efficiently. Thus, this study developed more precise input data and more improved parameter estimating procedures using GIS(Geographic Information System) and GA(Genetic Algorithm). For these purposes, XP-SWMM (EXPert-Storm Water Management Model) was used to simulate the urban runoff. The model was applied to An-Yang stream basin that is a typical Korean urban stream basin with several tributaries. The rules for parameter estimation were composed and applied based on quantity parameters that are investigated through the sensitivity analysis. GA algorithm is composed of these rules and facts. The conditions of urban flows are simulated using the rainfall-runoff data of the study area. The data of area, slope, width of each subcatchment and length, slope of each stream reach were acquired from topographic maps, and imperviousness rate, land use types, infiltration capacities of each subcatchment from land use maps, soil maps using GIS. Also we gave the management scheme of urbanization runoff using XP-SWMM. The parameters are estimated by GA from sensitivity analysis which is performed to analyze the runoff parameters.

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Characteristics of the soil loss and soil salinity of upland soil in saemangeum reclaimed land in western South Korea

  • Kim, Young Joo;Lee, Su Hwan;Ryu, Jin Hee;Oh, Yang Yeol;Lee, Jeong Tae
    • Proceedings of the Korean Society of Crop Science Conference
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    • 2017.06a
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    • pp.316-316
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    • 2017
  • The objective of this study is to estimate quantitatively soil salinity and soil loss at upland soils in agriculture land region in Saemangeum reclaimed land on the south Korea coasts. Soil loss and soil salinity are the most critical problem at reclaimed tidal saline soil in Korea. The several thematic maps of research area such as land cover map, topographic and soil maps, together with tabular precipitation data used for soil erosion and soil salinity calculation. Meteorological data were measured directly as air temperature, wind speed, solar radiation, and precipitation. The experiment was conducted 2% sloped lysimeter ($5.0m{\times}20.0m$) with 14 treatments and it were separated by low salinity division (LSD) and high salinity division (HSD) install. The cation content in ground water increased during time course, but in the case of land surface water the content was variable, and $K^+$ was lower than that of $Na^+$ and $Mg^{2+}$. At the LSD under rainproof condition, the salinity was directly proportional to soil water content, but at the HSD the tendency was no reversed. In condition of rainproof, the amount of soil salinity was higher at the HSD than at the LSD. Positive correlation was obtained between the soil water content and available phosphorous content at the rainfall division, but there was no significance at the surface soil of the rainproof division. Sodium adsorption ratio and anion contents in soil were repressed in the order of vinyl-mulching > non-mulching > bare field. According to the result of analyzing soil loss, soil loss occurred in a vinyl-mulching, a non-mulching and a bare field in size order, and also approximately 11.2 ton/ha soil loss happened on the reclaimed land area. The average soil loss amount by the unit area takes place in a non-mulching and bare field a lot. Our results indicate that soluble salt control and soil erosion are critical at reclaimed tidal saline soil and the results can provide some useful information for deciding management plans to reduce soil loss and salt damage for stable crop production and diverse utilization or cultivation could be one of the management options to alleviate salt damage at reclaimed tidal saline soil in Korea.

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A Prediction Model of Landslides in the Tertiary Sedimentary Rocks and Volcanic Rocks Area (제3기 퇴적암 및 화산암 분포지의 산사태 예측모델)

  • Chae Byung-Gon;Kim Won-Young;Na Jong-Hwa;Cho Yong-Chan;Kim Kyeong-Su;Lee Choon-Oh
    • The Journal of Engineering Geology
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    • v.14 no.4 s.41
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    • pp.443-450
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    • 2004
  • This study developed a prediction model of debris flow to predict a landslide probability on natural terrain composed of the Tertiary sedimentary and volcanic rocks using a logistic regression analysis. The landslides data were collected around Pohang, Gyeongbuk province where more than 100 landslides were occurred in 1998. Considered with basic characteristics of the logistic regression analysis, field survey and laboratory soil tests were performed for both slided points and not-slided points. The final iufluential factors on landslides were selected as six factors by the logistic regression analysis. The six factors are composed of two topographic factors and four geologic factors. The developed landslide prediction model has more than $90\%$ of prediction accuracy. Therefore, it is possible to make probabilistic and quantitative prediction of landslide occurrence using the developed model in this study area as well as the previously developed model for metamorphic and granitic rocks.

Classification and Characterization for Water Level Time Series of Shallow Wells at the National Groundwater Monitoring Stations (국가지하수관측소 충적관측정의 수위 변동 유형 분류 및 특성 비교)

  • Kim, Gyoo-Bum;Yum, Byoung-Woo
    • Journal of Soil and Groundwater Environment
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    • v.12 no.5
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    • pp.86-97
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    • 2007
  • The principal component analysis was performed to identify the general characteristics of groundwater level changes from 202 deep and 112 shallow wells monitoring data, respectively, which came from the National Groundwater Monitoring Stations operated by KWATER with time spans of 156 continuous weeks from 2003 to 2005. Eight principal components, which accounted for 80% of the variability of the original time series, were extracted for water levels of shallow and deep monitoring wells. As a result of cluster analysis using the loading value of three principal components for shallow wells, shallow monitoring wells were divided into 3 groups which were characterized with a response time to rainfall (Group 1: 4.6 days, Group 2: 24.1 days, Group 3: 1.4 days), average long-term trend of water level (Group 1: $2.05{\times}10^{-4}$ m/day, Group 2: $-7.85{\times}10^{-4}$ m/day, Group 3: $-3.51{\times}10^{-5}$ m/day) and water level difference (Group 1 < Group 2 < Group 3). Additionally, they showed significant differences according to a distance to the nearest stream from well (Group 3 < Group 2 < Group 1), topographic slope of well site (Group 3: plain region, Group 1: mountainous region) and groundwater recharge rate (Group 3 < Group 2 < Group 1) with a p-value of 0.05.