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Modeling water flows in a serial irrigation reservoir system considering irrigation return flows and reservoir operations

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  • Kang, Mingoo
  • Park, Seungwoo

Abstract

A water flows network modeling system was constructed to quantify water flows in the Balan Watershed, South Korea, which has two serial irrigation reservoirs. A modified version of the Synthetic Streamflow and Reservoir Regulation (SSARR) model was used to simulate the water flows, taking into account irrigation return flows and reservoir operations. The model parameters were calibrated using a heuristic search method, Shuffled Complex Evolution method developed at the University of Arizona (SCE-UA). The simulated streamflows and reservoir water levels were in good agreement with the observed. The irrigation return flows from paddy fields considerably affected the flow regimes of the streams. Specifically, the return flow rates of the irrigation water ranged from 28.0% to 35.0%. In addition, the water supply capacities of the irrigation reservoirs were evaluated using the modeling system, and joint operation rules were assessed. The results showed that these could have negative influences on the water supply of existing irrigation districts, and the potential effects of these rules on water management should be investigated. The modeling system is useful for identifying the states of water flows in multiple irrigation reservoir systems and for providing information about reservoir operations to water managers and stakeholders.

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  • Kang, Mingoo & Park, Seungwoo, 2014. "Modeling water flows in a serial irrigation reservoir system considering irrigation return flows and reservoir operations," Agricultural Water Management, Elsevier, vol. 143(C), pages 131-141.
    • Handle: RePEc:eee:agiwat:v:143:y:2014:i:c:p:131-141
    DOI: 10.1016/j.agwat.2014.07.003
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    References listed on IDEAS

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    1. Kim, H.K. & Jang, T.I. & Im, S.J. & Park, S.W., 2009. "Estimation of irrigation return flow from paddy fields considering the soil moisture," Agricultural Water Management, Elsevier, vol. 96(5), pages 875-882, May.
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    5. Deepti Rani & Maria Moreira, 2010. "Simulation–Optimization Modeling: A Survey and Potential Application in Reservoir Systems Operation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(6), pages 1107-1138, April.
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    1. Niu, G. & Li, Y.P. & Huang, G.H. & Liu, J. & Fan, Y.R., 2016. "Crop planning and water resource allocation for sustainable development of an irrigation region in China under multiple uncertainties," Agricultural Water Management, Elsevier, vol. 166(C), pages 53-69.
    2. Naghedifar, Seyed Mohammadreza & Ziaei, Ali Naghi & Ansari, Hossein, 2018. "Simulation of irrigation return flow from a Triticale farm under sprinkler and furrow irrigation systems using experimental data: A case study in arid region," Agricultural Water Management, Elsevier, vol. 210(C), pages 185-197.
    3. Jaenam Lee & Hyungjin Shin, 2022. "Agricultural Reservoir Operation Strategy Considering Climate and Policy Changes," Sustainability, MDPI, vol. 14(15), pages 1-13, July.
    4. Wu, Di & Cui, Yuanlai & Wang, Yitong & Chen, Manyu & Luo, Yufeng & Zhang, Lei, 2019. "Reuse of return flows and its scale effect in irrigation systems based on modified SWAT model," Agricultural Water Management, Elsevier, vol. 213(C), pages 280-288.
    5. Althoff, Daniel & Rodrigues, Lineu Neiva & da Silva, Demetrius David & Bazame, Helizani Couto, 2019. "Improving methods for estimating small reservoir evaporation in the Brazilian Savanna," Agricultural Water Management, Elsevier, vol. 216(C), pages 105-112.

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