Stream flow modeling using SWAT model and performance evaluation in Adhaim watershed

Authors

  • noorsatar Jabbar Wasit university Engineering, Civil Department
  • Ali N. Hilo Wasit University
  • Fouad H.Saaed Ministry of Water Resources, Iraq

DOI:

https://doi.org/10.31185/ejuow.Vol12.Iss4.582

Keywords:

SWAT model, Adhaim watershed

Abstract

https://ejuow.uowasit.edu.iq

Understanding the hydrological cycle and finding data crucial for water management require a foundational understanding of basin-scale simulation. To create the most accurate stream flow modeling possible, data from the weather stations was combined with input from other maps of the research area, such as soil, land cover, land use (LCLU), and digital elevation model (DEM).  Regarding Adhaim Watershed, period 2000 to 2013SWAT model calibration was done using the Sequential Uncertainty Fitting (SUFI–2) technique and the Nash–Sutcliffe simulation efficiency (NSE) and coefficient of determination (R2). This included an initial calibration from 2000/1/1  to 31/9/2009  which was then validated for 1/10/2010 to 31/12/2013   using daily streamflow values. Adhaim Watershed's whole area was determined to be 11816.82 km2. Grasslands make up 41.01% of the total area. Additionally, 28% of LCLU came from croplands and desolate regions in equal measure.  A hydrological type D clay soil was discovered, along with the watershed's primary slope (0–5). The mean streamflow of Adhaim was determined to be 22.m3/????????????, and upon calibration, it was found to be 30 ????3/????????????.

References

Arnell, N.W., D.P. van Vuuren, and M. Isaac, The implications of climate policy for the impacts of climate change on global water resources. Global Environmental Change, 2011. 21(2): p. 592-603.

Tong, S.T., et al., Predicting plausible impacts of sets of climate and land use change scenarios on water resources. Applied Geography,2012. 32(2): p. 477-489.

Gassman, P.W., et al., The soil and water assessment tool: historical development, applications, and future research directions. Transactions of the ASABE,2007. 50(4): p. 1211-1250.

Al-Kadhimi, A.M., L. Ahmed, and R.Y.A. Al-Mphergee, Runoff curves development for Al-Adhaim catchment using digital simulation models. Jordan Journal of Civil Engineering,2011. 5(2): p. 229-244.

Arnold, J.G. and N. Fohrer, SWAT2000: current capabilities and research opportunities in applied watershed modelling. Hydrological Processes: An International Journal, 2005. 19(3): p. 563-572.

VanderKwaak, J.E. and K. Loague, Hydrologic‐response simulations for the R‐5 catchment with a comprehensive physics‐based model. Water resources research,2001. 37(4): p. 999-1013.

Chaplot, V., Impact of DEM mesh size and soil map scale on SWAT runoff, sediment, and NO3–N loads predictions. Journal of hydrology,2005. 312(1-4): p. 207-222.

Jha, M., et al., Effect of watershed subdivision on swat flow, sediment, and nutrient predictions 1. JAWRA Journal of the American Water Resources Association,2004. 40(3): p. 811-825.

Earls, J. and B. Dixon. Application of the Soil and Water Assessment Tool (SWAT) in Modeling the Effects of Land Use Change on Watershed Hydrology. in papers and proceedings of applied geography conferences. 2007. [np]; 1998.

Mango, L.M., et al., Land use and climate change impacts on the hydrology of the upper Mara River Basin, Kenya: results of a modeling study to support better resource management. Hydrology earth system sciences, 2011. 15(7): p. 2245-2258.

Van Liew, M.W. and J. Garbrecht, Hydrologic simulation of the little Washita river experimental watershed using SWAT 1. JAWRA Journal of the American Water Resources Association,2003. 39(2): p. 413-426.

Ndomba, P., F. Mtalo, and A. Killingtveit, SWAT model application in a data scarce tropical complex catchment in Tanzania. Physics Chemistry of the Earth, Parts A/B/C, 2008. 33(8-13): p. 626-632.

Al-Khafaji, M.S., M. Al-Mukhtar, and A. Mohena, Performance of SWAT Model for Long-Term Runoff Simulation within Al-Adhaim Watershed, Iraq. Int. J. Sci. Eng. Res,2017. 8: p. 1510.

Al-Ansari, N., Management of water resources in Iraq: perspectives and prognoses. Engineering, 2013. 5(6): p. 667-684.

Mason, K., Iraq and the Persian gulf. Geographical handbook series, 1944. 524.

Talab, A.A., Evaluation of some irrigation projects in Dukan watershed as controlling and conservation of water resources. Iraqi Ministry of Water Resources: Baghdad, Iraqi,2007.

Neitsch, S., et al., SWAT2000 Theoretical Documentation. Grassland. Soil water Research Laboratory Agricultural research service, 2000.

Bekele, E.G. and J.W. Nicklow, Multi-objective automatic calibration of SWAT using NSGA-II. Journal of Hydrology, 2007. 341(3-4): p. 165-176.

Setegn, S.G., et al., Modeling of Sediment Yield From Anjeni‐Gauged Watershed, Ethiopia Using SWAT Model JAWRA .Journal of the American Water Resources Association.1. 2010. 46(3): p. 514-526.

Vorosmarty, C.J., et al., vulnerability from climate change and population growth. Global water resources, 2000. 289(5477): p. 284-288.

Downloads

Published

2024-12-01

Issue

Section

Environmental Engineering

How to Cite

Jabbar, noorsatar, Ali N. Hilo, & Fouad H.Saaed. (2024). Stream flow modeling using SWAT model and performance evaluation in Adhaim watershed. Wasit Journal of Engineering Sciences, 12(4), 95-102. https://doi.org/10.31185/ejuow.Vol12.Iss4.582