• Title/Summary/Keyword: Drainage flow

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Estimation of Irrigation Return Flow on Agricultural Watershed in Madun Reservoir (마둔저수지 농업유역의 관개 회귀수량 추정)

  • Kim, Ha-Young;Nam, Won-Ho;Mun, Young-Sik;Bang, Na-Kyoung;Kim, Han-Joong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.63 no.2
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    • pp.85-96
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    • 2021
  • Irrigation return flow is defined as the excess of irrigation water that is not evapotranspirated by direct surface drainage, and which returns to an aquifer. It is important to quantitatively estimate the irrigation return flow of the water cycle in an agricultural watershed. However, the previous studies on irrigation return flow rates are limitations in quantifying the return flow rate by region. Therefore, simulating irrigation return flow by accounting for various water loss rates derived from agricultural practices is necessary while the hydrologic and hydraulic modeling of cultivated canal-irrigated watersheds. In this study, the irrigation return flow rate of agricultural water, especially for the entire agricultural watershed, was estimated using the SWMM (Storm Water Management Model) module from 2010 to 2019 for the Madun reservoir located in Anseong, Gyeonggi-do. The results of SWMM simulation and water balance analysis estimated irrigation return flow rate. The estimated average annual irrigation return flow ratio during the period from 2010 to 2019 was approximately 55.3% of the annual irrigation amounts of which 35.9% was rapid return flow and 19.4% was delayed return flow. Based on these results, the hydrologic and hydraulic modeling approach can provide a valuable approach for estimating the irrigation return flow under different hydrological and water management conditions.

Estimation of irrigation return flow from paddy fields on agricultural watersheds (농업유역의 논 관개 회귀수량 추정)

  • Kim, Ha-Young;Nam, Won-Ho;Mun, Young-Sik;An, Hyun-Uk;Kim, Jonggun;Shin, Yongchul;Do, Jong-Won;Lee, Kwang-Ya
    • Journal of Korea Water Resources Association
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    • v.55 no.1
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    • pp.1-10
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    • 2022
  • Irrigation water supplied to the paddy field is consumed in the amount of evapotranspiration, underground infiltration, and natural and artificial drainage from the paddy field. Irrigation return flow is defined as the excess of irrigation water that is not consumed by evapotranspiration and crop, and which returns to an aquifer by infiltration or drainage. The research on estimating the return flow play an important part in water circulation management of agricultural watershed. However, the return flow rate calculations are needs because the result of calculating return flow is different depending on irrigation channel water loss, analysis methods, and local characteristics. In this study, the irrigation return flow rate of agricultural watershed was estimated using the monitoring and SWMM (Storm Water Management Model) modeling from 2017 to 2020 for the Heungeop reservoir located in Wonju, Gangwon-do. SWMM modeling was performed by weather data and observation data, water of supply and drainage were estimated as the result of SWMM model analysis. The applicability of the SWMM model was verified using RMSE and R-square values. The result of analysis from 2017 to 2020, the average annual quick return flow rate was 53.1%. Based on these results, the analysis of water circulation characteristics can perform, it can be provided as basic data for integrated water management.

Guideline for the Estimation of River Maintenance Flow in Japan (일본에서의 정상유량 산정지침)

  • Chung Kwang-kun;Chun Man-bok
    • KCID journal
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    • v.9 no.2
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    • pp.119-129
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    • 2002
  • 이 원고는 일본의 국토청 하천관리국에서 2001년도에 제시한 일반하천에서 정상유량 산정지침에 관한 지침을 번역 소개한 글로서 2차에 걸쳐 소개를 할 예정이다. 제1차 소개에서는 정상유량의 목적 및 그 이용에 관하여 기술하고, 정상유량의 설정수준을 제시하며 정상유량 설정방법에 있어서 하천환경의 파악과 항목별 필요유량검토방침의 설정법 그리고 항목별 필요유량의 검토중 동식물 및 어업에 관계되는 검토를 기술한다. 제2차 소개에서는 항목별 필요유량의 검토 항목중

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Groundwater Considerations in Tunnel Design (터널 설계시 지하수의 고려방안)

  • 이인모;김용진
    • Proceedings of the Korean Geotechical Society Conference
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    • 1993.03a
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    • pp.1-8
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    • 1993
  • This paper concerns the analytical concept of tunnel design for the case where the groundwater level remains almost to a standstill even though the steady state groundwater flow occurs through tunnel drainage systems. The effect of the seepage force is considered in analysis. Two case strudies are made : the one the round shape tunnel ; the other the horse shape. The design moments, shear forces and axial forces are calculated and these results are compared to the case of water proof tunnel design as well as the case of the tunnel design without groundwater consideration.

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Data Distributions on Performance of Neural Networks for Two Year Peak Stream Discharges

  • Muttiah, Ranjan S.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1996.06c
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    • pp.1073-1080
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    • 1996
  • The impact of the input and output probability distributions on the performance of neural networks to forecast two year peak stream flow (cubic meters per second) is examined for two major river basins of the US. The neural network input consisted of drainage area(square kilometers ) and elevation (meters). When data are normally distributed , the neural networks predict much better than when the data are non-normal and have larger tails in their distributions.

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Estimation of Return Flow Rate of Irrigation Water in Daepyeong Pumping District (대평 양수장 지구의 농업용수회귀율 추정)

  • Kim, Tai-Cheol;Lee, Ho-Choun;Moon, Jong-Pil
    • Journal of The Korean Society of Agricultural Engineers
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    • v.52 no.1
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    • pp.41-49
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    • 2010
  • Return flow rate of irrigation water was estimated by water balance method. Daepyeong pumping district to irrigate 75.8 ha of rice paddy in the Geum river basin was selected to install gauging instruments to collect data such as weather, water levels, infiltration rate and evapotranspiration during irrigation season (May 27 to Sept. 20) in 2003 and 2004. Irrigation and drainage discharge were calculated from the rating curve and evapotranspiration was estimated both by the modified Penman formula and by the lysimeter. The results were as followed : 1. Total amounts of pumping water during irrigation season were $1,076,000\;m^3$ in 2003 and $1,848,000\;m^3$ in 2004. Total amounts of rainfall were 1336.0mm and 1003.0mm respectively during the irrigation season in 2003 and 2004. 2. It was surveyed that the amount of infiltration was 196.5 mm (2.2 mm/day). The gauged evapotranspiration was 311.0 mm (3.5 mm/day) and the calculated evapotranspiration was 346.0 mm (3.9 mm/day) during irrigation period in 2003. It was surveyed that the amount of infiltration was 169.9 mm (2.4 mm/day). The amount of gauged evapotranspiration was 377.3 mm (5.3 mm/day) and the calculated evapotranspiration was 454.5 mm (6.6 mm/day) during irrigation period in 2004. 3. The rates of quick and delayed return flow were 52.4 % and 17.7 % respectively, and so return flow rate was 70.1 % in 2003. The rates of quick and delayed return flow were 45.4 % and 16.1 % respectively, and so return flow rate was 61.5 % in 2004. It means that average return flow rate in the Daepyeong pumping district was assumed to be 65 %.

Evaluation of SWAT Model for Hydrological Analysis of Hwa-Cheon Watershed (화천 지역의 수문분석을 위한 SWAT 모형의 적용성 평가)

  • Kim, Gi-Cheol;Kim, Jong-Geon;Park, Yun-Sik;Heo, Seong-Gu;Yu, Dong-Seon;Kim, Gi-Seong;Choe, Jung-Dae;Im, Gyeong-Jae
    • KCID journal
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    • v.14 no.2
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    • pp.207-213
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    • 2007
  • For sustainable development at a watershed, environment friendly site-specific management practices need to be developed and implemented. The soil and Water Assessment Tool(SWAT)model has been world-wide used to estimate stream flow, sediment, and nonpoint source pollutant loads, and effects on water quality of different management practices. In this study, the SWAT model was used to estimate the flow resources at Hwacheon areas using Digital Elevation Model(DEM),Land use, precipitation ,wind ,maximum and minimum temperature, solar radiation, humidity of watershed The R2 value and EI value for the comparison of SWAT estimated flow and measured flow were 0.87 and 0.67 respectively for calibration period, and the R2 value and E1 value for validation were 0.75 and 0.67 respectively. The comparison results show what the SWAT model is applicable to simulate hydrology behaviors at this study watershed.

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