• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.2090-2094
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• 2008

본 연구에서는 한강 상류의 소양댐 유역을 대상으로 SWAT-K 모형을 적용하여, 토지이용별, 하도구간별, 월별 및 연별 유사 발생을 비교 검토하였다. 모형 보정과 검증을 거쳐 대상유역에 대해 유출과 유사 모의의 정성적, 정량적 적용성을 검토하였으며, 이로부터 대상유역에서의 시공간적인 유사량 자료를 확보하였다. 확보된 유사량 자료를 이용하여 토지이용별 토양 유실량을 산정하고 기존 다른 연구자들의 결과와 비교함으로써 침식 영향을 판단할 수 있는 개략적인 평가를 하였다. 댐 상류로부터의 유입 유사량의 발생 원인 지역을 파악하기 위하여 모형으로부터 추정된 각 하도구간별 유사량을 오염원에 따라 점원, 비점원으로 구분하여 비교해 본 결과 비점원에 의한 영향이 99% 이상으로 나타났으며, 고랭지밭이 많이 분포한 자운천 상류유역을 제외하고는 대부분의 상류 소유역에서의 유사량이 작게 나타났다. 월별 유사량 분석 결과, 소양댐으로 유입되는 총 유사량의 88%가 여름철인 $7{\sim}9$월에 집중적으로 발생하는 것으로 나타났으며, 연도별 분석에서는 소양호의 고탁도가 문제가 되었던 2006년의 유사 발생이 다른 해에 비해 상대적으로 높은 것으로 나타났다.

• Korean Journal of Environmental Biology
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• v.29 no.4
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• pp.353-361
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• 2011

This study was conducted to examine the effects of sedimentation caused by highland agriculture on benthic macroinvertbrate assemblages in upper Song Stream from 2006 to 2009. The mean concentrations of water quality parameters (pH, DO, EC, TDS, TN, and TP) were gradually increasing toward downstream but ORP was decreased. Furthermore, biological habitats at lower reaches were more homogeneous and unstable due to sand deposition than those at upper sites. A total 106 species of benthic macroinvertbrates in 47 families, 11 orders, 6 classes, and 5 phyla were identified during whole field surveys. Song Stream showed great declines of overall biological attributes along its longitudinal gradients, particularly in taxa richness and abundance. Of all functional groups scrapers and clingers were most affected against the degradation of habitat quality, whereas collector-gatherers and burrowers showed the opposite case. It was found that such results had close correlations with water quality parameters and substrate composition which played an important role in structuring macroinvertebrate communities. In conclusion, this study represents that disturbance caused by highland agricultural activities had negative effects on benthic macroinvertebrate communities by leading to sand deposition at adjacent stream ecosystems.

• Journal of The Korean Society of Agricultural Engineers
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• v.52 no.6
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• pp.135-144
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• 2010

This study was performed to suggest a soil loss reduction skill through estimating soil erosion from a small watershed including each type of sloping agriland by using GEOWEPP model. Experimental watershed at Gangwon province was selected for very typical sloping fields of highland agriculture in Alpine area. Runoff discharge and sediment load, hourly rainfall amount occurred during storm event were gauged, and weather data were obtained from Daegwallyeong meteorological station. The results of GEOWEPP model estimation showed that relative error values for total runoff discharge and sediment load were 3 %, -14.5 % respectively. Based on the result, soil erosion and waterway path map for each hillslope were made to select target hillslope. Several hillslopes of severe soil erosion were analyezed and then the optimal vegetative filter strip construction width and waterway path to plant grass were decided by using GEOWEPP Model.

• Korean Journal of Environmental Agriculture
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• v.16 no.2
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• pp.199-205
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• 1997

Water quality of streams and ground water from areas of different agricultural practices in the small catchments of the Han River basin was investigated. Water samples were collected from upper, middle and lower reaches of the Han River Basin where three types of agricultural management have been practiced : (1) highland agriculture and livestocks in Daegwanryung area, (2) typical upland and paddy farmings in Dunnae (Jucheon River) and Chuncheon (Soyang River) areas, and (3) intensive farming in the plastic film house in Guri area (Wangsuk stream). Water quality was monitored for EC, pH, COD, TSS, N, rations and anions. Concentrations of N, especially nitrate, and phosphorus in both stream and ground water exceeded the standard water quality criteria in many cases, but those of heavy metals were non-detectable or trace in most cases, except for Wangsuk stream where a high level was detected in a specific sampling time. Chemical criteria such as pH, EC and COD of the stream were suitable for irrigation purpose, but nitrate concentrations in ground water used in the intensive plastic film house were high enough to require a special management consideration. A model on the irrigation water quality incorporating EC and nitrate concentrations was suggested in view of fertilizer management and environmental quality.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1457-1460
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• 2010

최근 기후변화로 인해 태풍 등과 같은 집중성 강우가 많이 발생하고 있고, 강우시 유출 등으로 인한 유역내 발생하는 토양침식으로 인해 유역의 하천을 비롯하여 유출구에서의 탁수 및 유사 발생 문제는 우리나라 뿐만 아니라 전 세계적으로 심각한 환경문제로 대두되고 있다. 강우시 유역에서 발생하는 이러한 탁수문제를 효과적으로 해결하기 위하여 여러 최적관리기법 (Best Management Practices, BMPs) 들이 제안되어왔다. 본 연구의 목적은 볏짚매트 사용으로 인한 토양유실 저감 실측자료를 바탕으로 볏짚매트를 다양한 경사지 밭에 적용하였을 경우 유역에서의 토양유실 저감효과를 평가하기 위한 모델링 기법을 개발하는데 있다. 볏짚 매트의 효과를 Soil and Water Assessment Tool (SWAT) 모형으로 모의하기 위해서는 볏짚매트의 효과를 모형에서 반영할 수 있는 인자를 선택하여 최적의 인자값을 산정해야 한다. 본 연구에서는 유사 저감 효과 실험 결과를 VFSMOD-W 모형을 이용하여 USLE P 인자값을 도출하였으며, 경사도에 따른 USLE-P 값을 산정하여, SWAT 모형에 입력자료로 사용하였다. 분포형 모형과는 달리 준분포형 모형인 SWAT 모형은 소유역내 수문학적 반응단위별로 유출, 유사, 그리고 비점오염 발생을 평가하는데 이때 Hydrologic Response Unit (HRU)의 지형정보가 활용된다. 이 지형정보는 SWAT 유사 평가시 매우 민감한 변수중의 하나이기 때문에 유역 단위 유사 평가시 정확한 지형자료의 입력이 요구된다. 그러나 SWAT 모형은 소유역내 HRU의 경사도 및 경사장을 직접 산정하지 않고, 소유역의 평균경사도를 기준으로 하여 산정된 경사도를 소유역내 모든 HRU에 동일하게 적용하는 단점이 있다. 본 연구에서는 준분포 모형인 SWAT 모형의 단점을 개선하기 위하여 SWAT Spatially Distributed (SD)-HRU를 적용하였다. 이를 통해 다양한 경사지 밭에서의 볏짚매트의 효과를 분석할 수 있게 되었다. 볏짚매트 미적용시 모의 기간내 유사량 총합은 74,954.42 ton 이고, 월평균 유사량은 814.72 ton 으로 산정되었고, 볏짚매트를 적용하였을 경우 모의 기간내 (2000년 1월 - 2007년 8월) 유사량 총합은 48,460.55 ton 이고, 월평균 유사량은 526.75 ton 으로 볏짚매트를 적용하지 않았을 때보다 약 35.35 % 저감된 값을 보였다. SD-HRU를 적용하고 각 농경지의 경사도에 따라 USLE P 값을 수정하여 볏짚매트에 의한 효과를 분석하였을 때, 볏짚매트를 적용하지 않았을 때 보다 볏짚매트를 적용하였을 때 모의 기간내 약 35% 정도의 유사량이 감소된 것을 알 수 있었다. 본 연구결과에서 보여주는 바와 같이 고랭지 지역에서의 영농활동 시 볏짚매트를 설치한다면 강우시 발생하는 토양유실을 효과적으로 저감시킬 수 있을 것이라 판단된다.

• Korean Journal of Ecology and Environment
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• v.44 no.4
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• pp.373-384
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• 2011

The objective of this was to determine how the seasonal intensive rainfall influenced the water quality, and to analyze the long-term temporal trend of water chemistry and spatial heterogeneity in the upstream watershed of Southern Han River using water quality dataset from 1997 to 2007. The largest seasonal variability in most parameters occurred during the two month July and August and there were closely associated with a large spate of summer monsoon rain. Total phosphorus (TP), chemical oxygen demand (COD), and suspended solids (SS) were greater during summer than any other seasons, and had a direct correlation with precipitation (r>0.4, p<0.01, n-120). In addition, dissolved oxygen (DO) had and inverse function with precipitation (r=-0.542, p<0.01). Overall, the data of total phosphorus (TP) and suspended solids (SS) showed that water quality was worst in Site I1, compared to the others. This was due to continuous effluents from the highlands' fields and cattle farms within the upstream area of Doam lake (Song stream). Based on the overall dataset, an efficient water quality management is required in the highlands and farms areas for better water quality with precipitation (r.0.4, p<0.01, n=120).

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1343-1356
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• 2022

Clouds or shadows are the most problematic when monitoring crops using optical satellite images. To reduce this effect, a composite algorithm was used to select the maximum Normalized Difference Vegetation Index (NDVI) for a certain period. This Maximum NDVI Composite (MNC) method reduces the influence of clouds, but since only the maximum NDVI value is used for a certain period, it is difficult to show the phenomenon immediately when the NDVI decreases. As a way to maintain the spectral information of crop as much as possible while minimizing the influence of clouds, a Score-Based Composite (SBC) algorithm was proposed, which is a method of selecting the most suitable pixels by defining various environmental factors and assigning scores to them when compositing. In this study, the Sentinel-2A/B Level 2A reflectance image and cloud, shadow, Aerosol Optical Thickness(AOT), obtainging date, sensor zenith angle provided as additional information were used for the SBC algorithm. As a result of applying the SBC algorithm with a 15-day and a monthly period for Dangjin rice fields and Taebaek highland cabbage fields in 2021, the 15-day period composited data showed faster detailed changes in NDVI than the monthly composited results, except for the rainy season affected by clouds. In certain images, a spatially heterogeneous part is seen due to partial date-by-date differences in the composited NDVI image, which is considered to be due to the inaccuracy of the cloud and shadow information used. In the future, we plan to improve the accuracy of input information and perform quantitative comparison with MNC-based composite algorithm.

• Korean Journal of Soil Science and Fertilizer
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• v.32 no.4
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• pp.398-404
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• 1999

Factor analysis technique was employed to screen the principal indicators influencing soil and water qualities in the intensively cultivated areas of the Han River Basin. Soil chemical parameters were analyzed for the soil samples collected at intensive farming area in Pyungchang-Gun, and water quality monitoring data were obtained from the agricultural small catchments of Han River Basin during 1996 and 1997. Among the $11{\times}11$ cross correlation matrix, 29 correlations were significant out of 55 soil quality indicator pairs. The overall Kaiser's measure of sampling adequacy(KMS) value was acceptable with 0.60. Most indicators except iron were acceptable. Among soil indicators, the first factors showing high factor loadings were pH, Ca and Mg. The factor loading was the highest for Ca. The second factor could be characterized as phosphate and micronutrient. The third factor was organic matter and EC, and the fourth factor was potassium and Fe. Out of 190 water quality indicators, 86 correlations were significant. Overall KMS value was 0.74, but the KMS values for pH, TSS, Cd, Cu and Fe were lower than 50. The first factor of EC accounts 27.1 percents of the total variance, and showed high factor loadings with Na, Ca, $SO_4$, Mg, K, Cl, $NO_3$, and T-N. The second factor showed high loadings with Zn, Fe, Mn and Cd. The third to seventh factors could be characterized as $PO_4$, TSS, inorganic nitrogen, pH and T-P, and Cu factors, respectively. The factor score for EC was the highest in Kuri, followed by Chunchon, Dunnae and Daegwanryng. The factor score for heavy metals were the highest in the Daegwanryng. The results demonstrated that the factor analysis could be useful to select the most principal factor influencing soil and water qualities in the agricultural watershed.