• 농촌계획
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• 제30권1호
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• pp.57-66
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• 2024

This study aimed to develop a precise vegetation cover classification model for small streams using the combination of drone remote sensing and support vector machine (SVM) techniques. The chosen study area was the Idong stream, nestled within Geosan-gun, Chunbuk, South Korea. The initial stage involved image acquisition through a fixed-wing drone named ebee. This drone carried two sensors: the S.O.D.A visible camera for capturing detailed visuals and the Sequoia+ multispectral sensor for gathering rich spectral data. The survey meticulously captured the stream's features on August 18, 2023. Leveraging the multispectral images, a range of vegetation indices were calculated. These included the widely used normalized difference vegetation index (NDVI), the soil-adjusted vegetation index (SAVI) that factors in soil background, and the normalized difference water index (NDWI) for identifying water bodies. The third stage saw the development of an SVM model based on the calculated vegetation indices. The RBF kernel was chosen as the SVM algorithm, and optimal values for the cost (C) and gamma hyperparameters were determined. The results are as follows: (a) High-Resolution Imaging: The drone-based image acquisition delivered results, providing high-resolution images (1 cm/pixel) of the Idong stream. These detailed visuals effectively captured the stream's morphology, including its width, variations in the streambed, and the intricate vegetation cover patterns adorning the stream banks and bed. (b) Vegetation Insights through Indices: The calculated vegetation indices revealed distinct spatial patterns in vegetation cover and moisture content. NDVI emerged as the strongest indicator of vegetation cover, while SAVI and NDWI provided insights into moisture variations. (c) Accurate Classification with SVM: The SVM model, fueled by the combination of NDVI, SAVI, and NDWI, achieved an outstanding accuracy of 0.903, which was calculated based on the confusion matrix. This performance translated to precise classification of vegetation, soil, and water within the stream area. The study's findings demonstrate the effectiveness of drone remote sensing and SVM techniques in developing accurate vegetation cover classification models for small streams. These models hold immense potential for various applications, including stream monitoring, informed management practices, and effective stream restoration efforts. By incorporating images and additional details about the specific drone and sensors technology, we can gain a deeper understanding of small streams and develop effective strategies for stream protection and management.

• 대한토목학회논문집
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• 제28권3B호
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• pp.283-296
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• 2008

본 연구에서는 현재의 하천상태를 진단할 수 있는 도시하천 평가기법을 제시하였다. 이를 위해 국내 외 하천평가에 대한 문헌 및 연구자료를 조사하고 비교 분석하였으며, 예비하천조사를 실시하고 도시하천의 특성 및 하천의 치수기능 등을 고려하여 하천의 상태를 평가할 수 있는 평가인자를 도출하였다. 도시하천 평가기법은 상위단계, 중간단계, 하위단계의 3단계로 구성하였다. 상위단계에서 하천의 기능을 고려하여 제방, 하천, 생태환경의 3개 특성으로 구분하고, 중간단계에서는 3개 특성이 변형되고 훼손된 정도를 설명할 수 있는 10개의 평가부문(제방, 수로, 흐름, 하상, 비인공화 정도, 저수로변과 홍수터, 하천주변, 동물상, 식물상, 수질)으로 나누었으며, 하위단계에서는 도출된 53개의 평가항목을 구성요소로하여 단계적 평가가 가능한 평가기법을 제시하였다. 특성간, 평가부문간 가중치를 산정하기 위하여 하천전문가를 대상으로 설문조사를 실시하고, 이를 AHP(Analytic Hierarchy Process)를 이용하여 분석하였다. 하천의 규모와 복원정도를 고려하여 수원천, 안양천, 중랑천을 대상하천으로 선정하고 평가를 실시하여 도시하천 평가기법의 적용성과 평가정보의 가치 수준을 확인하였다. 평가결과는 항목지수, 부문지수, 특성지수, 총괄지수 및 평가등급으로 하천의 상태를 나타냈다. 본 연구에서 제시한 하천평가기법에 따른 하천평가결과는 하천이 변형되고 훼손된 부분과 정도를 파악함으로써 도시하천의 복원과 관리에 필요한 기초자료로 활용되어 질 수 있을 것으로 판단된다.

• 한국환경생물학회:학술대회논문집
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• 한국환경생물학회 2004년도 학술대회
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• pp.68-69
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• 2004

• 한국환경복원기술학회지
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• 제2권4호
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• pp.9-15
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• 1999

The purpose of this study was to investigate factors and variables which have significant effects on visual preference of urban stream in Taejon city and to suggest design & management information for urban stream. These works consist of two phases. First, we tested the Hyechon college students' visual preference for 36 spots of urban stream slide and then selected 10 spots slide by the Sturges' formula. Second, we analyzed factors and variables of visual preference of urban stream using the semantic differential scale method and then processed using descriptive analysis, factor analysis and multiple linear regression analysis. The major findings of this study can be summarized as follows. 1. The difference of landscape adjectives between the highest score of visual preference slide (No.10) and the lowest score of visual preference slide (No.2) was cleanness. 2. Three factors, the nature, the cleanness and the movement, were derived from the factor analysis. 3. Factors covering the visual preference of urban stream have been found to be the landscape of urban stream, the nature, the cleanness, and the movement. The visual preference factors of urban stream need to be considered in creating or restoring the ecological urban stream landscape.

• 한국물환경학회지
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• 제22권6호
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• pp.982-990
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• 2006

Generally CSOs (Combined Sewer Overflows) are regarded as one of the most serious nonpoint pollution source in the urban watershed, Particularly, the water quality of the Oncheon stream is seriously affected by CSOs because the capacity of interception sewer system connected to the Suyoung wastewater treatment plant is too small to intercept most storm water discharges. The objective of this study is to evaluate the effect of nonpoint source on an urban stream with regards to combined sewer system and separate sewer system using GIS (Geographic Information System) and SWMM (Storm Water Management Model), and to provide an insight for the management of urban stream water quality. In order to consider the effect of CSOs on the receiving water quality, the flow divider element in SWMM was applied. The model calibration and verification were performed by the measured data of quantity and quality on the Oncheon stream. The quantity data acquired from the Suyoung wastewater treatment plant were also used for this procedure. In case of separate sewer system, the modeling results showed the increased tendency in streamflow compared with the combined system in dry weather, In addition, the water quality is remarkably improved in rainfall events at the separate condition. The results imply that the construction of separate sewer system should be taken into first consideration to restore the quality and quantity of water in urban streams.

• 한국농공학회논문집
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• 제63권1호
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• pp.61-73
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• 2021

Recently, the deterioration of water quality in Wonju stream has been reported due to the increase in diverse pollution sources along with community development and urbanization. Various types of attempts with a huge budget were made for better water quality so far, but its effectiveness is still doubted. In order to establish site-oriented measures for water quality improvement, the topographic and hydrologic factors were evaluated based on site inspection and survey. As the major streams merged into the Wonju stream, the Hwa and Heungyang streams were found to have higher pollution loads and contributions compared to other streams due to the scattered livestock farms and industries, and vulnerable land use. Notably, the discharge water from the Wonju Public Sewage Treatment Plant had the highest level of pollution load, impacting on the water quality of Wonju Stream. According to the SWAT model as water quality measures, the improvement effect of water quality in this treatment plant can be reached to the reductions in BOD 11.06%, T-N 23.56%, T-P 10.60% when the proper managements applied, whereas the improvement of water quality would be 3.89%, 1.23%, and 3.32% for BOD, T-N, T-P, respectively, for the industries. The reduction of the livestock industry was generally very high as a pollution source, but it was not much higher at the end of Wonju Stream than other measures. These results recommended that the water q uality improvement measures should be designated for each upper-middle-lower section in Wonju stream.

• 대한원격탐사학회지
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• 제40권1호
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• pp.9-18
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• 2024

Small streams, despite their rich ecosystems, face challenges in vegetation assessment due to the limitations of traditional, time-consuming methods. This study presents a groundbreaking approach, combining unmanned aerial vehicles(UAVs), convolutional neural networks(CNNs), and the vegetation differential vegetation index (VDVI), to revolutionize both assessment and management of stream vegetation. Focusing on Idong Stream in South Korea (2.7 km long, 2.34 km² basin area)with eight diverse revetment methods, we leveraged high-resolution RGB images captured by UAVs across five dates (July-December). These images trained a ResNeXt101 CNN model, achieving an impressive 89% accuracy in classifying vegetation cover(soil,water, and vegetation). This enabled detailed spatial and temporal analysis of vegetation distribution. Further, VDVI calculations on classified vegetation areas allowed assessment of vegetation vitality. Our key findings showcase the power of this approach:(a) TheCNN model generated highly accurate cover maps, facilitating precise monitoring of vegetation changes overtime and space. (b) August displayed the highest average VDVI(0.24), indicating peak vegetation growth crucial for stabilizing streambanks and resisting flow. (c) Different revetment methods impacted vegetation vitality. Fieldstone sections exhibited initial high vitality followed by decline due to leaf browning. Block-type sections and the control group showed a gradual decline after peak growth. Interestingly, the "H environment block" exhibited minimal change, suggesting potential benefits for specific ecological functions.(d) Despite initial differences, all sections converged in vegetation distribution trends after 15 years due to the influence of surrounding vegetation. This study demonstrates the immense potential of UAV-based remote sensing and CNNs for revolutionizing small-stream vegetation assessment and management. By providing high-resolution, temporally detailed data, this approach offers distinct advantages over traditional methods, ultimately benefiting both the environment and surrounding communities through informed decision-making for improved stream health and ecological conservation.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2006년도 학술발표회 논문집
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• pp.467-471
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• 2006

전국적으로 생태하천에 대한 관심이 높아져가고 있는 현실에서 대전광역시에서도 3대 하천에 대한 생태하천 조성계획의 1단계로서 대전천 유지용수 확보 계획이 실행 중에 있다. 다양한 용수 공급원에 대한 평가를 통해 유등천과 대청댐의 물을 이용하여 대전천의 유지용수를 공급하고자하는 계획을 추진하고 있는데, 이 계획 중 중심요소로 등장한 유지용수의 산정과 수질 목표치에 대한 검토를 위하여 HEC-RAS와 QUAL2EU를 적용하였다. 유지용수의 산정은 수심 $10{\sim}30cm$ 이상의 유지와 수질 2등급(BOD 기준 3.0 ppm 이하)를 목표로 제시되었는데, 모형을 통해 확인된 바에 의하면, 기 수립된 유지용수 확보 계획에 대하여 수위확보는 목표치에 도달할 수 있으나 계절의 변화에 따른 공급 용수의 수질변화로 인하여 목표수질의 확보에 어려움이 있는 것으로 나타났으며, 단순히 용수 공급만을 통한 수질관리보다는 비점오염원의 제거 등 유역관리 계획의 병행이 필요함을 제시하였다.

• 한국환경보건학회지
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• 제27권2호
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• pp.51-59
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• 2001

Song stream is located in the upstream of the Namhan River. Normal times, the stream flows down to the east sea through the drainage pipe but at rainy season, it flows to the Namhan River. There are large stock farm, leisure town and cultivated land in this basin. The pollutants from these contamination source cause eutrophication at lake Doam and deterioration of water quality in namdai stream. In this case, this study was carried out to evaluate water quality and environmental capacity as well as economical efficiency of each industry. The basin shape factor of subject stream was 0.315, slope is higher than usual basin. The BOD, T-N and T-P productive contamination loading from each contamination source was 2,690, 974 and 194 kg/day, respectively, and major contamination source was stock farm and cultivated land. Annual BOD, T-N, T-P distribution(median value) of Song stream showed 1.0~2.2 mg/L, 3.16~5.85 mg/L and 0.024~0.197 mg/L Doam lake showed 1.1~1.9, 2.51~3.89 and 0.042~0.114 mg/L, respectively. Being compared of water quality at main stream between past and present, it showed that the water quality has improved since last five years. BOD improvement rate was 8~50%. Run off loading of BOD, T-N, T-P was 366, 1129, 17.2 kg/day, and run off rate was 13.6%, 86.2%, 11.3% respectively. Finally, the result of productivity survey of each industry, leisure town, cultivated land and large stock farm was 118, 46, 50 billion won, per T-P 1kg productive, and productivity portion was 100, 39, 42% respectively, and the highest economical efficiency industry was leisure facilities.

• Journal of Ecology and Environment
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• 제48권1호
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• pp.85-95
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• 2024

Background: In Korea, riparian zones and some floodplains have been converted into agricultural fields and urban areas. However, there are essential for maintaining biodiversity, as they are important ecological spaces. There are also very important spaces for humanity, as they perform various ecosystem services in a changing environment including climate change. Due to the importance of rivers, river restoration projects have been promoted for a long time, but their achievement has been insignificant. Development should be pursued by thoroughly evaluating the success of the restoration project. Ecological restoration is to accelerate succession, a process that a disturbed ecosystem recovers itself, with human assistance. Ecological restoration can be a test bed for testing ecological theories in the field. In this respect, ecological restoration should go beyond a 'simple landscaping exercise' and apply ecological models and theories in restoration practice. Results: The cross-section of the restored stream is far from natural rivers due to its steep slope and artificial material. The vegetation profiles of the restored streams did not reflect the flooding regime of the river. The species composition of the vegetation in the restored stream showed a significant difference from that of the reference stream, and was also different from that of an unrestored urban stream. Although species richness was high and the proportion of exotic species was low in the restored stream, the effect was offset by the high proportion of gardening and landscaping plants or obligate terrestrial plants. Conclusions: Based on both the morphological and ecological characteristics of the river, the restoration effect in the restored stream was evaluated to be very low. In order to solve the problems, a systematic adaptive management plan is urgently required. Furthermore, it is necessary to institutionalize the evaluation of restoration effects for the development of river restoration projects in the future.