• Title/Summary/Keyword: Nutrient loads

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Nutrient Loads from Agricultural Watersheds using Unit Loading Factor and SWAT Model (원단위법과 SWAT모형을 이용한 농업유역의 영양물질 부하량 추정)

  • Kim, Sang-Min;Park, Seung-Woo;Kang, Moon-Seong
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2003.10a
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    • pp.83-86
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    • 2003
  • To estimate the nutrient loads from an agricultural watershed, SWAT model and Unit Loading Factor method which was proposed by Ministry of Environment were applied for study watershed. The observed hydrologic and water quality data were compared with estimated methods for the Balhan HP#6 study watershed having an area of $3.86km^2$. The estimated nutrient loads were found to be similar values with the observed.

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Correlation between Soil Nutrient Contents and Water Pollutant Loads in Hydrologic Unit Watersheds: Implication on the Total Maximum Daily Loads (TMDLs) (수질오염총량관리 단위유역내 토양 양분 및 수질오염 부하량 상관관계 비교)

  • Cho, Kyung-Sik;Lee, Ho-sik
    • Journal of Korean Society on Water Environment
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    • v.27 no.4
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    • pp.509-515
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    • 2011
  • For this study the 4 sub-watersheds Okdong A, Hankang B, Jecheon A and Hankang C which are the main streams of the Han River within the mid-level region of Chungju Dam are selected and the analysis of soils has been carried out through the soil basic survey. When it comes to the soil erosion amount the soil nutrient load has been calculated by utilizing the RUSLE erosion equation. In case of the data related to the measurement of water flow and quality the information available from the "Water Information System" one of the websites run by the Ministry of Environment has been used to calculate the water pollution load. The correlation between the soil nutrient load and the water pollutant load has been analyzed through making comparison. According to the results related to the soil nutrient load of each sub-watershed the Hankang C shows the highest values TOC 29,986.92 ton/yr, TN 3,860.33 ton/yr and TP 973.97 ton/yr respectively. Even when it comes to the loads related to water quality the Hankang C shows also comparatively high values TOC 6,625.64 ton/yr, TN 7,335.01 ton/yrand TP 145.49 ton/yr respectively. The soil nutrient loads of the sub-watersheds are shown to increase towards the lower stream meaning the load increases in the order of Hankang CHankang B and Okdong A. When it comes to the water pollutant load the value goes up along down the water system meaning the load gets higher in the order of Hankang C, Hankang B and Okdong A while utilizing the mainstream within the mid-level region of Chungju Dam as the basis. The correlation study showed that the nutrient content of soil is proportional to the pollutant load in water with the strongest positive correlation with TOC.

Response of Nutrient Dynamics with Topography during the Rice Cultivation in Paddy Field

  • Kim, Min Kyeong;Choi, Soon Kun;Kim, Myung Hyun;Hong, Seong Chang;Park, Na Young;Hur, Seung Oh;So, Kyu Ho
    • Korean Journal of Soil Science and Fertilizer
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    • v.49 no.4
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    • pp.310-317
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    • 2016
  • This study aimed to evaluate the nutrient load balance from rice paddy fields with different topographies, alluvial plain and local valley. Continuous monitoring from May to September, 2013 was conducted for water quantification and qualification from alluvial plain in Yeoju region (32 ha) and local valley in Jincheon region (24 ha). The discharge rates of T-N from the alluvial plain were 57.2, 5.84, 22.7, and $5.20kg\;ha^{-1}$ for irrigation, precipitation, drainage, and percolation, respectively. In case of local valley, T-N loads were 34.6, 4.73, 21.1, and $4.15kg\;ha^{-1}$ for irrigation, precipitation, drainage, and percolation, respectively. In contrary, the T-P loads from the alluvial plain were 2.23, 2.22, 2.54, and $0.41kg\;ha^{-1}$ for irrigation, precipitation, drainage, and percolation, respectively. In case of local valley, T-P loads were 1.44, 1.57, 1.82, and $0.34kg\;ha^{-1}$ for irrigation, precipitation, drainage, and percolation, respectively. The nutrient contents in drainage water were influenced by the amount of waters, rainfall, and surface drainage water. The Pearson correlation analysis showed that rainfall was significantly correlated with nutrient loads from July to August due to the amount of runoff in local valley paddy field, and irrigation was related with nutrient loads of drainage from July to August. This study showed that paddy rice farming in alluvial plain and local valley might be beneficial to water quality protection.

Analysis of Nutrient Load Balance in the Reservoir Irrigated Paddy Block (저수지 관개 광역 논의 영양물질 수지 분석)

  • Song, Jung-Hun;Kang, Moon-Seong;Song, Inhong;Hwang, Soon-Ho;Park, Jihoon;Jun, Sang-Min;Kim, Kye-Ung;Jang, Jeong-Ryeol
    • Journal of The Korean Society of Agricultural Engineers
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    • v.55 no.6
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    • pp.167-175
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    • 2013
  • The objective of this study was to investigate the nutrient load balance in the reservoir irrigated paddy block during growing seasons. Idong reservoir irrigation paddy block of 10.3 ha in size was selected to collect hydrologic and water quality data. Irrigation, canal flows, and paddy field drainage were measured using a water level gauge, while water samples were collected and analysed for water quality. The water balance analysis showed that 81 % and 75 % of total outflow were through paddy and irrigation canal drainage during 2011 and 2012, respectively. The water quality of paddy field drainage varied greatly depending on rice cultivation stage ranging from 0.05 to 24.55 mg/L and from 0.01 to 0.76 mg/L for T-N and T-P, correspondently. Paddy field drainage loads during May through June account for 64 % and 76 % in 2012 and 2013, while 82 % and 81 % for T-P in 2011 and 2012, respectively. The Pearson correlation analysis showed that rainfall was significantly correlated with nutrient loads during July through August due to runoff, and irrigation was related with nutrient loads of drainage during some period of July through September due to irrigation return flow. This study results showed characteristics of inflow and outflow nutrient loads from plentiful irrigated paddy block.

Spatial and Temporal Variation Characteristics between Water Quality and Pollutant Loads of Yeong-il Bay (II) - Mutual Variation between Inflowing Pollutant Loads and Water Quality - (영일만 유입오염부하량과 수질의 시${\cdot}$공간적 변동특성(II) - 유입오염부하량과 수질의 상호거동 -)

  • YOON HAN-SAM;LEE IN-CHEOL;RYU CHEONG-RO
    • Journal of Ocean Engineering and Technology
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    • v.17 no.5 s.54
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    • pp.32-38
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    • 2003
  • This study investigates the distribution characteristics and relationship of water quality, and analyzes the spatial and temporal variation and distribution of the pollutant loads at Yeong-il Bay. The results of these analysis, the concentrations of nutrient loads (T-N and T-P), both appeared to be at the maximum value in November, while most small values were taken in May for the T-N, and in August for the T-P. For COD, the maximum concentration was in August, which has much precipitation during the same season, T-N was at the mean, and T-P was at the minimum value. Using the cluster analysis to develop the division of the sea basin by the dendrogram, before and after construction of Pohang New-port, the variation characteristics of water quality of Yeong-il Bay were discussed. The in flowing pollutant loads were transported to the landward by the high-density salinity water volume of the bottom layer therefore, it formed nutrient trap or coastal trapping areas of the pollutant load. By this mechanism, it is clear that the water volume with high-density nutrient exists on both sides of the Pohang New-port. Thus, the sea basins increasing concentration of the pollutant load at Yeong-il Bay are most prevalent at Hyeong-san estuary, the Pohang Old, and New-port. To improve water quality of this sea basin, the reduction of these nutrients loads should be the highest priority.

Variational Characteristics of Nutrient Loading in Inflow Streams of the Yongdam Reservoir Using Flow-Loading Equation (유량-부하량 관계식을 이용한 용담호 유입하천의 영양염류 유입량 변동특성)

  • Kim, Tae Geun
    • Journal of Environmental Impact Assessment
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    • v.15 no.2
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    • pp.129-138
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    • 2006
  • The measurements of nutrient and runoff in 4 streams have been performed before and after the rainfall in order to estimate nutrient loads in the Yongdam reservoir. The equations for the relationship between the flow and the loads in each stream could be estimated by the regression analysis. R2 of TN showed the range from 0.95 to 0.99 and the range of R2 for TP was 0.90~0.95 based on the results of the regression analyses. In 2002, total loadings from the upstream to the Yongdam reservoir were TN 1,175 ton/year, TP 69 ton/year. There were 64.9% of TN and 72.3% of TP during 4 months as the flood season. Due to the rainfall, the load of TP was higher than one of TN in Yongdam reservoir.

Environmental Impact Analysis on Fish Stocks caused by Environmental Change in the Coastal Fishing Ground (연안어장의 환경변화가 수산자원량에 미치는 영향평가)

  • ;MASAHIKO SEKINE
    • Journal of Ocean Engineering and Technology
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    • v.15 no.1
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    • pp.36-44
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    • 2001
  • To predict the influence on fish stocks which were caused by environmental change in the fishing ground of shallow sea areas, we have developed the Shallow-Sea Ecological Model(SSEM) which that focuses on living organisms, especially fish and benthos. By applying the SSEM in the Seto-Inland Sea of Japan, we have simulated another aspect of influence on fish stocks that was caused by oxygen deficient water mass and nutrient loads. From the simulated result of the fish stocks, it was indicated that the stock of fish and benthos has shown a relative difference between the western sea and the eastern sea in the Seto-Inland Sea. According the to prediction, results of fish stocks that were caused by oxygen deficient water mass, it was estimated that the pelagicfish stock increases about 6 %, whereas the stocks of demersalfish and benthos decreases about 30% and 70%, respectively. On the other hand, it seemed that there was an increased in the fish stocks of demersalfish and benthos in the eastern sea of Seto-Inland Sea by nutrient loads reduction.

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Automatic Calibration of Stream Flow and Nutrients Loads Using HSPF-PEST at the Bochung A Watershed (보청A유역 유량 및 영양물질 자동보정을 위한 HSPF-PEST 연계적용)

  • Jeon, Ji-Hong;Choi, Dong-Hyuk;Lim, Kyung-Jae;Kim, Tae-Dong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.52 no.5
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    • pp.77-86
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    • 2010
  • Hydrologic Simulation Program-Fortran (HSPF) coupled with PEST which is optimization program was calibrated and validated at Bochung watershed by using monitoring data of water quantities and nutrient loading. Although the calibrated data were limited, model parameters of each land use type were optimized and coefficient of determinations were ranged from 0.94 to 0.99 for runoff, from 0.89 to 1.00 for TN loading, and from 0.92 to 1.00 for TP loading. The optimized hydrological parameters indicated that the forested land could retain rainfall within soil layer with high soil layer depth and infiltration rate compared with other land use type. Hydrological characteristics of paddy rice field are low infiltration rate and coefficient of roughness. The calibrated parameters related to nutrient loading indicated generation of nutrient pollution from agricultural area including upland and paddy rice field higher than other land use type resulting from fertilizer application. Overall PEST program is useful tool to calibrate HSPF automatically without consuming time and efforts.

Applications of AGNPS model with rural watersheds having complex land use characteristics (복합 토지이용 특성의 농촌유역에 대한 농업비점원오염모형의 적용)

  • 조재필;박승우;강문성
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 1998.10a
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    • pp.353-358
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    • 1998
  • GRASS-AGNPS model integrated with GIS was applied to rural watersheds having complex land use characteristics and evaluated for its applicability through calibration using observed data. The analyses of raster encoding accuracy and model behavior to runoff, sediment yields and nutrient loads for different cell-size showed that 150 m cell size indicated reasonable applicability of the model. Simulated runoff was in a good agreement with the observed data and simulated peak runoff rate was larger than the observed data. The sediment yield simulated by modified AGNPS model using irregular cell for forest area were less than that of the regular cell method. In predicting sediment yields, the result showed a different trend at each representative rural watershed. Nutrient loads simulated by the model were significantly different from the observed data.

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Evaluation of SWAT Model for Nutrient Load from Small Watershed in Juam Lake (주암호 소유역의 영양물질 부하 추정을 위한 SWAT 모형의 적용성 평가)

  • Jung, Jae-Woon;Yoon, Kwang-Sik;Han, Kuk-Heon;Choi, Woo-Young;Lee, Jun-Bae;Choi, Hun-Geun
    • Journal of Environmental Science International
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    • v.18 no.9
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    • pp.1027-1033
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    • 2009
  • For the assesment of pollutant loads, a monitoring has been conducted to identify hydrologic conditions and water quality of the Oenam watershed in Juam Lake, and the SWAT model integrated with GIS was applied to the watershed and evaluated for its applicability through calibration and verification using observed data. For the model application, digital maps were constructed for watershed boundary, land-use, soil series, digital elevation, and topographic input data of the Oenam watershed using Arcview. The observed runoff was 832.8 mm while the simulated runoff was 842.8 mm in 2003. The model results showed that the simulated runoff was in a good agreement with the observed data and indicated reasonable applicability of the model. In terms of nutrient load, the simulation results of T-N, T-P showed a similar trend to observed values. The observed T-N load was 10.8 kg/ha and the simulated T-N load was 7.6 kg/ha while the observed T-P load was 0.21 kg/ha and the simulated T-P load was 0.18 kg/ha. In general, SWAT model predicted observed runoff and loads of T-N and T-P after calibration with observed data in acceptable range. Overall, SWAT model was satisfactory in estimation of nutrient pollutant loads of the rural watershed.