International Journal of Environmental Protection and Policy

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Hydrological Study Using SWAT and Global Weather, a Case Study in the Huai Khun Kaeo Watershed in Thailand

Received: 20 June 2018    Accepted:     Published: 21 June 2018
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Abstract

The Huai Khun Kaeo watershed was chosen to study the hydrological productions from 2007 to 2013. There is lack of the hydrological observation data which can be considered as the Prediction in Ungauged Basin (PUB). It locates between the Sakae Krang river basin in Uthai Thani and the Tha Chin river basin in Chai Nat provinces, Thailand. The soil and water assessment tool (SWAT) was applied for the simulation of the hydrological response unit productions based on the Climate Forecast System Reanalysis (CFSR) from global weather data. The results of daily streamflow from the model were compared to the observed data at the hydrological observation station downstream end of the watershed. The results showed the Nash and Sutcliffe efficiency (NSE) of 0.10, correlation (R2) of 0.275, and the root mean square error (RSME) of 23.8 with a mean discharge of 11.0 cubic meters per second, respectively.

DOI 10.11648/j.ijepp.20180602.13
Published in International Journal of Environmental Protection and Policy (Volume 6, Issue 2, March 2018)
Page(s) 36-41
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Hydrological Model, SWAT, CFSR, PUB

References
[1] G. Blöschl, “Predictions in ungauged basins – where do we stand?”, Proceedings of the International Association of Hydrological Sciences, Copernicus Publications, 373, 57-60, 2016, retrieved from http://www.proc-iahs.net/373/57/2016/.
[2] US Army Corps of Engineers (USACE), “Hydrological Modeling System HEC-HMS”, 2017, retrieved from http://www.hec.usace.army.mil/.
[3] J. G. Arnold, and N. Fohrer, "SWAT2000: Current Capabilities and Research Opportunities”, Applied Watershed Modeling. Hydrological Process, 19, 563-572, 2005, retrieved from http://dx.doi.org/10.1002/hyp.5611.
[4] US Army Corps of Engineers, “HEC-RAS’s User Manual”, 2016, retrieved from http://www.hec.usace.army.mil/.
[5] Public Works Research Institute (PWRI), “Integrated Flood Analysis Systems: IFAS Version 1.2 User’s Manual”, 2017, retrieved from http://www.icharm.pwri.go.jp/research/ifas/.
[6] S. Hungspreug, W. Khao-uppatum, and S. Thanopanuwat, “Operational Flood Forecasting for Chao Phraya river Basin. Proceedings of the International Conference on The Chao Phraya Delta: Historical Development, Dynamics and Challenges of Thailand’s Rice Bowl”, Kasetsart University, Bangkok, 12-15 December 2000.
[7] Japan International Cooperation Agency (JICA), “The Study on Integrated Plan for Flood Mitigation in Chao Phraya River Basin. Summary and Main Report”, Royal Irrigation Department Kingdom of Thailand, 1999.
[8] Y. Dile, R. Srinivasan, and C. George, “QGIS Interface for SWAT (QSWAT version 1.5)”, 2018, https://swat.tamu.edu/.
[9] Thailand Research Fund (TRF), The Development of Supporting Mechanisms for Budget Planning of Water Resources and Agriculture based on the Application of Information Technological Linkages (ITLs) in Chainat Province, contract number RDG59A0015, proposed by the Water Resource Research Center of Naresuan University (in Thai and unpublished), 2016.
[10] Royal Irrigation Department (RID), “Reconnaissance Study of the Huai Khot Wang Man Diversion Canal Systems and Regulating Structures in Ban Rai and Nong Mamong Districts”, Prepared by the Engineering Branch of Regional Irrigation Office 12 Chai Nat (in Thai and unpublished), 2015.
[11] D. R. Fuka, M. T. Walter, C. MacAlister, A. T. Degaetano, T. S. Steenhuis, Z. M. Easton, “Using the Climate Forecast System Reanalysis as weather input data for watershed models”, Hydrological Processes, 2013, Published online in Wiley Online Library, DOI: 10.1002/hyp.10073.
[12] J. E. Nash, and J. V. Sutcliffe, “River flow forecasting through conceptual models: Part 1. A discussion of principles”, Journal of Hydrology, 10 (3), p282-290, 1970.
Author Information
  • Water Resources Research Center, Department of Civil Engineering, Faculty of Engineering, Naresuan University, Phitsanulok, Thailand

  • Department of Agricultural Science, Faculty of Agriculture Natural Resources and Environment, Naresuan University, Phitsanulok, Thailand

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    Sombat Chuenchooklin, Udomporn Pangnakorn. (2018). Hydrological Study Using SWAT and Global Weather, a Case Study in the Huai Khun Kaeo Watershed in Thailand. International Journal of Environmental Protection and Policy, 6(2), 36-41. https://doi.org/10.11648/j.ijepp.20180602.13

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    ACS Style

    Sombat Chuenchooklin; Udomporn Pangnakorn. Hydrological Study Using SWAT and Global Weather, a Case Study in the Huai Khun Kaeo Watershed in Thailand. Int. J. Environ. Prot. Policy 2018, 6(2), 36-41. doi: 10.11648/j.ijepp.20180602.13

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    AMA Style

    Sombat Chuenchooklin, Udomporn Pangnakorn. Hydrological Study Using SWAT and Global Weather, a Case Study in the Huai Khun Kaeo Watershed in Thailand. Int J Environ Prot Policy. 2018;6(2):36-41. doi: 10.11648/j.ijepp.20180602.13

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  • @article{10.11648/j.ijepp.20180602.13,
      author = {Sombat Chuenchooklin and Udomporn Pangnakorn},
      title = {Hydrological Study Using SWAT and Global Weather, a Case Study in the Huai Khun Kaeo Watershed in Thailand},
      journal = {International Journal of Environmental Protection and Policy},
      volume = {6},
      number = {2},
      pages = {36-41},
      doi = {10.11648/j.ijepp.20180602.13},
      url = {https://doi.org/10.11648/j.ijepp.20180602.13},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijepp.20180602.13},
      abstract = {The Huai Khun Kaeo watershed was chosen to study the hydrological productions from 2007 to 2013. There is lack of the hydrological observation data which can be considered as the Prediction in Ungauged Basin (PUB). It locates between the Sakae Krang river basin in Uthai Thani and the Tha Chin river basin in Chai Nat provinces, Thailand. The soil and water assessment tool (SWAT) was applied for the simulation of the hydrological response unit productions based on the Climate Forecast System Reanalysis (CFSR) from global weather data. The results of daily streamflow from the model were compared to the observed data at the hydrological observation station downstream end of the watershed. The results showed the Nash and Sutcliffe efficiency (NSE) of 0.10, correlation (R2) of 0.275, and the root mean square error (RSME) of 23.8 with a mean discharge of 11.0 cubic meters per second, respectively.},
     year = {2018}
    }
    

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    T1  - Hydrological Study Using SWAT and Global Weather, a Case Study in the Huai Khun Kaeo Watershed in Thailand
    AU  - Sombat Chuenchooklin
    AU  - Udomporn Pangnakorn
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    DO  - 10.11648/j.ijepp.20180602.13
    T2  - International Journal of Environmental Protection and Policy
    JF  - International Journal of Environmental Protection and Policy
    JO  - International Journal of Environmental Protection and Policy
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    EP  - 41
    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ijepp.20180602.13
    AB  - The Huai Khun Kaeo watershed was chosen to study the hydrological productions from 2007 to 2013. There is lack of the hydrological observation data which can be considered as the Prediction in Ungauged Basin (PUB). It locates between the Sakae Krang river basin in Uthai Thani and the Tha Chin river basin in Chai Nat provinces, Thailand. The soil and water assessment tool (SWAT) was applied for the simulation of the hydrological response unit productions based on the Climate Forecast System Reanalysis (CFSR) from global weather data. The results of daily streamflow from the model were compared to the observed data at the hydrological observation station downstream end of the watershed. The results showed the Nash and Sutcliffe efficiency (NSE) of 0.10, correlation (R2) of 0.275, and the root mean square error (RSME) of 23.8 with a mean discharge of 11.0 cubic meters per second, respectively.
    VL  - 6
    IS  - 2
    ER  - 

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