• 한국농공학회지
• /
• 제22권4호
• /
• pp.108-114
• /
• 1980

A deterministic conceptual erosion model which simulates detachment, entrainment, transport and deposition of eroded soil particles by rainfall impact and flowing water is presented. Both upland and channel phases of sediment yield are incorporated into the erosion model. The algorithms for the soil erosion and sedimentation processes including land and crop management effects are taken from the literature and then solved using a digital computer. The erosion model is used in conjunction with the modified Kentucky Watershed Model which simulates the hydrologic characteristics from watershed data. The two models are linked together by using the appropriate computer code. Calibrations for both the watershed and erosion model parameters are made by comparing the simulated results with actual field measurements in the Four Mile Creek watershed near Traer, Iowa using 1976 and 1977 water year data. Two water years, 1970 and 1978 are used as test years for model verification. There is good agreement between the mean daily simulated and recorded streamflow and between the simulated and recorded suspended sediment load except few partial differences. The following conclusions were drawn from the results after testing the watershed and erosion model. 1. The watershed and erosion model is a deterministic lumped parameter model, and is capable of simulating the daily mean streamflow and suspended sediment load within a 20 percent error, when the correct watershed and erosion parameters are supplied. 2. It is found that soil erosion is sensitive to errors in simulation of occurrence and intensity of precipitation and of overland flow. Therefore, representative precipitation data and a watershed model which provides an accurate simulation of soil moisture and resulting overland flow are essential for the accurate simulation of soil erosion and subsequent sediment transport prediction. 3. Erroneous prediction of snowmelt in terms of time and magnitute in conjunction with The frozen ground could be the reason for the poor simulation of streamflow as well as sediment yield in the snowmelt period. More elaborate and accurate snowmelt submodels will greatly improve accuracy. 4. Poor simulation results can be attributed to deficiencies in erosion model and to errors in the observed data such as the recorded daily streamflow and the sediment concentration. 5. Crop management and tillage operations are two major factors that have a great effect on soil erosion simulation. The erosion model attempts to evaluate the impact of crop management and tillage effects on sediment production. These effects on sediment yield appear to be somewhat equivalent to the effect of overland flow. 6. Application and testing of the watershed and erosion model on watersheds in a variety of regions with different soils and meteorological characteristics may be recommended to verify its general applicability and to detact the deficiencies of the model. Futhermore, by further modification and expansion with additional data, the watershed and erosion model developed through this study can be used as a planning tool for watershed management and for solving agricultural non-point pollution problems.

• 한국수자원학회논문집
• /
• 제34권3호
• /
• pp.209-216
• /
• 2001

개발등 인위적 건설활동에 의하여 발생되는 토사유출량을 산정하기 위하여 국내에서는 주로 범용토양손실공식(USLE)을 주로 사용하여 왔으나 이 기법은 연평균 토사생산량을 산정하기위한 기법으로 개발되었다. 따라서 l본 연구에서는 단일호우에 대한 토사유출향 산정을 목적으로 개발된 수정범용토양손실공식(MUSLE)을 강우자료와 토사유출 실측값이 있는 국내 개발현장에 적용하여 실측치와 계산치를 비교함으로써 그 적용가능성을 확인하였으며 MUSLE 적용시 필요한 첨두유출량과 총유출량 산정기법 중 국내여건에 적합한 산정기법도 제시하였다. 또한 MUSLE 적용결과와 개정범용토양손실공식(RUSLE)을 이용한 토사유출량 산정 결과와도 비교하였다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2008년도 학술발표회 논문집
• /
• pp.194-198
• /
• 2008

Significant soil erosion and water quality degradation issues are occurring at highland agricultural areas of Kangwon province because of agronomic and topographical specialities of the region. Thus spatial and temporal modeling techniques are often utilized to analyze soil erosion and sediment behaviors at watershed scale. The Soil and Water Assessment Tool (SWAT) model is one of the watershed scale models that have been widely used for these ends in Korea. In most cases, the SWAT users tend to use the readily available input dataset, such as the Ministry of Environment (MOE) land cover data ignoring temporal and spatial changes in land cover. Spatial and temporal resolutions of the MOE land cover data are not good enough to reflect field condition for accurate assesment of soil erosion and sediment behaviors. Especially accelerated soil erosion is occurring from agricultural fields, which is sometimes not possible to identify with low-resolution MOD land cover data. Thus new land cover data is prepared with cadastral map and high spatial resolution images of the Doam-dam watershed. The SWAT model was calibrated and validated with this land cover data. The EI values were 0.79 and 0.85 for streamflow calibration and validation, respectively. The EI were 0.79 and 0.86 for sediment calibration and validation, respectively. These EI values were greater than those with MOE land cover data. With newly prepared land cover dataset for the Doam-dam watershed, the SWAT model better predicts hydrologic and sediment behaviors. The number of HRUs with new land cover data increased by 70.2% compared with that with the MOE land cover, indicating better representation of small-sized agricultural field boundaries. The SWAT estimated annual average sediment yield with the MOE land cover data was 61.8 ton/ha/year for the Doam-dam watershed, while 36.2 ton/ha/year (70.7% difference) of annual sediment yield with new land cover data. Especially the most significant difference in estimated sediment yield was 548.0% for the subwatershed #2 (165.9 ton/ha/year with the MOE land cover data and 25.6 ton/ha/year with new land cover data developed in this study). The results obtained in this study implies that the use of MOE land cover data in SWAT sediment simulation for the Doam-dam watershed could results in 70.7% differences in overall sediment estimation and incorrect identification of sediment hot spot areas (such as subwatershed #2) for effective sediment management. Therefore it is recommended that one needs to carefully validate land cover for the study watershed for accurate hydrologic and sediment simulation with the SWAT model.

• 생태와환경
• /
• 제42권4호
• /
• pp.413-421
• /
• 2009

Eleven lake sediment core samples were obtained and analyzed to develop a chronology using $^{137}Cs$ (in 1963) and two tephra layers (Ko-c2 in 1694 and Ta-a in 1739). Sedimentation rates estimated for the past ca 300 years in Lake Shirarutoro indicated that catchment development has influenced the shallowing process in the lake by increasing sediment production. The sediment yield under initial land-use development conditions for the first two periods was estimated as 514 tons $yr^{-1}$ from 1694 to 1739 and 542 tons $yr^{-1}$ from 1739~1963. The development of the Shirarutoro catchment intensified in the 1960s with deforestation and agriculture activity leading to an increased sediment yield of 1261 tons $yr^{-1}$ after 1963. The sediment yields after intensified land use development, such as forestry and agricultural development, were about 2 times higher than that under initial development conditions, leading to accelerated lake shallowing over the last ca 50 years. Sedimentation rates differed with location in the lake because of spatial variation in the sediment flux from the contributing rivers and their catchments. The sedimentation rates before 1963 were low in all sites except for one site close to the Shirarutoroetoro River. The sedimentation rate in 1739~1963 was accumulated mostly at the inflow of the Shirarutoroetoro River by sediment production associated with forestry for charcoal production and initial agricultural development. The sedimentation rate after 1963 increased. In particular, the southern zone of the lake near the conjunction with the Kushiro River had a high sedimentation rate, which is attributable to sediment inflow back from the Kushiro River during floods.

• Spatial Information Research
• /
• 제17권4호
• /
• pp.431-443
• /
• 2009

최근 탁수문제는 댐과 저수지관리 업무에서 중요한 이슈중의 하나가 되고 있으며, 고탁수를 유발하는 주요원인은 강우강도 에너지에 의한 유사량이다. 기존의 연구들은 다양한 작물형태를 고려하지 않아 정확한 토양 침식 및 유사량을 계산할 수 없었다. 본 연구에서는 IKONOS 위성영상으로부터 추출한 인삼밭 레이어를 이용하여 토양침식량과 유사량의 저감효과를 분석하였으며, 인삼밭의 면적과 점유비율은 각각 $0.290km^2$와 0.94%로 나타났다. GIS 기반 RUSLE 모델을 이용하여 인삼밭을 고려한 토양침식량의 저감효과를 분석한 결과는 0.9%로 낮게 나타났으며, 이는 인삼밭의 면적이 다른 농경지에 비해 상대적으로 작기 때문으로 해석된다. 미래의 토지이용변화를 반영하기 위해, 본 연구에서는 논, 밭, 과수원 그리고 기타 재배지들이 인삼밭 지역으로 전환된다는 시나리오를 고려하여 토양침식과 유사량의 저감효과를 평가하였다. 시나리오에 따른 인삼밭의 저감효과를 분석한 결과, 밭지역을 인삼밭으로 전환한 시나리오 (1)과 모든 농경지를 인삼밭으로 전환한 (4)가 인삼밭을 고려하지 않은 기존의 연구와 비교할 때 31.3% 및 34.8% 더 높은 저감효과를 나타내었다. 본 연구에서 제시한 방법론은 고탁수와 관련된 저수지관리를 지원하기 위한 매우 효과적인 도구가 될 수 있을 것이다.

• 한국물환경학회지
• /
• 제24권6호
• /
• pp.690-700
• /
• 2008

The Soil and Water Assessment Tool (SWAT) model users tend to use the readily available input dataset, such as the Ministry of Environment (MOE) land cover data ignoring temporal and spatial changes in land cover. The SWAT model was calibrated and validated with this land cover data. The EI values were 0.79 and 0.85 for streamflow calibration and validation, respectively. The EI were 0.79 and 0.86 for sediment calibration and validation, respectively. With newly prepared landcover dataset for the Doam-dam watershed, the SWAT model better predicts hydrologic and sediment behaviors. The number of HRUs with new land cover data increased by 70.2% compared with that with the MOE land cover, indicating better representation of small-sized agricultural field boundaries. The SWAT estimated annual average sediment yield with the MOE land cover data was 61.8 ton/ha/year for the Doam-dam watershed, while 36.2 ton/ha/year (70.7% difference) of annual sediment yield with new land cover data. Especially the most significant difference in estimated sediment yield was 548.0% for the subwatershed #2. Therefore it is recommended that one needs to carefully validate land cover for the study watershed for accurate hydrologic and sediment simulation with the SWAT model.

• 한국산림과학회지
• /
• 제88권4호
• /
• pp.477-484
• /
• 1999

본 연구는 삼림(森林)내에 개설(開設)된 임도(林道)가 부유사유출(浮遊砂流出)에 미치는 영향을 검토하기 위한 기초적 연구로서 수행되었다. 부유사유출(浮遊砂流出)의 관측(觀測)은 산지유역(山地流域)으로서 임도(林道)의 영향을 받지 않는 관측점(觀測点) A와 B, 그리고, 그 합유점(合流點) 하류(下流)에 임도(林道)로부터의 토사유출(土砂流出)의 영향을 받는 관측점(觀測点) C에서 실시하였다. 부유사농도(浮遊砂濃度)의 경시적(經時的) 변화(變化)를 검토한 결과, 강우(降雨)중 임도(林道)의 영향에 따른 부유사농도(浮遊砂濃度)의 증가를 확인할 수 있었으며, 각 관측점(觀測点)의 유역특성(流域特性)에 따라 최대 부유사농도(浮遊砂濃度)는 피크유량(流量)을 선행(先行) 또는 동시(同時)에 나타났다. 이것은 비탈면에 불안정하게 정체하고 있었던 부유사(浮遊砂)가 강한 강우강도(降雨强度)의 영향으로 계류수(溪流水)에 빠르게 유출(流出)하는 시간적 차이에 기인하는 것으로 생각된다. 각 관측점(觀測点)의 부유사량(浮遊砂量)은 강우인자(降雨因子) 및 관측기간에 따라 차이는 있지만, 임도(林道)의 영향을 받는 관측점(觀測点) C가 임도(林道)의 영향을 받지 않는 관측점(觀測点) A 및 B보다 최대 4배 이상 많게 유출(流出)하였다. 단위면적(單位面積)당 부유사량(浮遊砂量)의 경우, 강우인자(降雨因子)의 영향을 가장 크게 받았던 9월 18일~19일(강우량(降雨量) 57.0mm)의 관측결과, 임도(林道)의 영향을 받는 관측점(觀測点) C는 4.179g/sec/ha, 임도(林道)의 영향을 받지 않는 관측점(觀測点) A 및 B는 각각 0.343g/sec/ha과 0.147g/sec/ha이었으며, 관측점(觀測点) C에서 관측점(觀測点) A, B보다 12배, 28배 증가하였다.

• 농촌계획
• /
• 제11권4호
• /
• pp.67-74
• /
• 2005

The Doam watershed is located at alpine areas and the annual average precipitation, including snow accumulation, is significant higher than other areas. Thus, pollutant laden runoff and sediment discharge from the alpine agricultural fields are causing water quality degradation at the Doam watershed. To estimate soil erosion from the agricultural fields, the Universal Soil Loss Equation (USLE) has been widely used because of its simplicity to use. In the early spring at the Doam watershed, the stream flow increases because of snow melt, which results in erosion of loosened soil experiencing freezing and thaw during the winter. Also, extremely torrential rainfall, such as the typhoons 'RUSA' in 2002 and 'MAEMI' in 2003, caused significant amounts of soil erosion and sediment at the Doam watershed. However, the USLE model cannot simulate impacts on soil erosion of freezing and thaw of the soil. It cannot estimate sediment yield from a single torrential rainfall event. Also, it cannot simulate temporal changes in USLE input parameters. Thus, the Soil and Water Assessment Tool (SWAT) model was investigated for its applicability to estimate soil erosion at the Doam watershed, instead of the widely used USLE model. The SWAT hydrology and erosion/sediment components were validated after calibration of the hydrologic component. The R$^2$ and Nash-Sutcliffe coefficient values are higher enough, thus it is found the SWAT model can be efficiently used to simulate hydrology and sediment yield at the Doam watershed. The effects of snow melt on SWAT estimated stream flow and sediment were investigated using long-term precipitation and temperature data at the Doam watershed. It was found significant amount of flow and sediment in the spring are contributed by melting snow accumulated during the winter. Two typhoons in 2002 and 2003, MAEMI and RUSA, caused 33% and 22% of total sediment yields at the Doam watershed, respectively. Thus, it is recommended that the SWAT model, capable of simulating snow melt, sediment yield from a single storm event, and long-term weather data, needs to be used in estimating soil erosion at alpine agricultural areas to develop successful soil erosion management instead of the USLE.

• 한국수자원학회논문집
• /
• 제44권11호
• /
• pp.863-873
• /
• 2011

전세계적으로 토사유출은 심각한 문제로 알려져 있다. 환경관리자, 농부 및 다른 토지소유자들을 위해 다양한 모델링 테크닉이 개발되어왔고, 토양유실 저감을 위해 다양한 site-specific 최적관리기법의 효율을 산정하여 활용하였다. 물리적기반인 WEPP 모형은 시 공간적으로 작은 유역과 필지에서 발생하는 토양유실을 산정할 수 있다. 그러므로 본 연구에서는 WEPP watershed version을 이용하여 강원도 홍천군 자운리에 위치한 연구지역에 빗물 우회수로와 식생수로를 적용하였다. 우회수로 적용시 유출량과 토사유출량은 각각5.8%, 29.6% 저감되었으며, 식생수로 적용시 각각 9.8%, 14.5% 저감되었다. 식생수로와 우회수로를 혼합한 식생우회수로는 유출량과 토사유출량이 각각 11.8%, 40.4% 저감되었다. 본 연구의 결과와 같이 WEPP 모형은 유출량과 토사유출량 저감효과를 산정하고, site-specific 토사유출저감 최적관리기법 수립에 유용할 것으로 판단된다.

• 한국환경생태학회지
• /
• 제23권6호
• /
• pp.569-576
• /
• 2009

산림벌채와 농경지 개발에 의한 토사와 영양염류의 유출은 시라루토로호수의 생물서식지 환경을 악화시키고 있다. 산림벌채와 농업활동이 수질에 미치는 영향을 조사하기 위해 산림벌채와 농경지 개발에 의한 토사와 영양염류의 유출은 시라루토로호수의 생물서식지 환경을 악화시키고 있다. 산림벌채와 농업활동이 수질에 미치는 영향을 조사하기 위해 토지이용에 따른 총질소와 총인의 변화를 분석하고, 이들의 분석 결과를 다른 연구자료와 비교하였다. 호수의 총질소와 총인은 산림면적 증가에 따라 감소하고, 농지면적이 증가하면 높은 농도를 나타내었다. 그러나 시라루토로호수의 수질은 좁은 농지면적과 넓은 산림으로 둘러싸여 있음에도 불구하고 총질소와 총인의 농도가 높게 나타났다. 이는 유역의 토지이용이 호수에 인접한 곳에서 행해지고 있어 호수 수질에 영향을 미친 것으로 사료되었다. 토지이용에 따른 유역의 토사생산량 변화를 추정하기 위해 호수 토사퇴적물 시료 11개를 채취하여 약 300년 동안의 토사동태를 조사하였다. 채취한 호수 퇴적물에는 2개의 화산재층(1694년의 Ko-c2층 과 1739년의 Ta-a층)과 세슘($^{137}Cs$)피크(1963년)가 존재하였고, 이들의 연대를 이용하여 약 300년간 유역의 토사생산량을 분석하였다. 초기개발기(1694~1739과 1739~1963)에는 8.4~8.9 tons/$km^2$/year의 토사가 유역으로부터 생산되었고, 1960년대 이후 산림벌채와 농지개발로 인하여 21.1 tons/$km^2$/year(1963~2007)으로 토사생산량이 증가하였다.