Estimating the depth and volume of surface runoff in the Wadi Al-Hussam Basin using the (SCS_CN) method (Soil Conservation Service)
DOI:
https://doi.org/10.32792/tqartj.v9i47.668Keywords:
• Keywords: Wadi Al-Hussam basin, estimation of depth and volume of surface runoff, SCS-CN equationAbstract
- The valley Hassam basin is one of the important valleys of the southern plateau in Iraq, which is located within the range of the lower valleys that end in the alluvial plain and flow into the Euphrates River. The crop receives annual rainfall and provides many groundwater reservoirs, which makes the economic value we invest in agricultural activity. Estimating the volume of surface runoff for this basin is very important for estimating the amount of surface water that can feed the basin, through the estimated surface runoff that later penetrates into the groundwater aquifers to feed the underground reservoirs, which are represented by the Euphrates, Dammam, and Lead formations. The mission of the study is to determine the depth of surface runoff for the Wadi Al-Hussam basin using the (SCS-CN) equation related to soil maintenance, as well as the volume of surface runoff for the basin. The valley Al-Hussam Basin is located in the southern Iraqi plateau within the Muthanna Governorate. The basin originates from the highlands of the southern plateau within the lower valleys’ region. It flows from the southwest to the northeast, as its sources end in the Sulaibat Depression. The length of the basin is (30 km). The basin consists of limestone rocks dating back to the Miocene period, dating back to the formation of the Euphrates and Dammam. The basin occupies a small area of (158 km2) and is characterized by the presence of signs of exploiting its soil for agricultural production, as groundwater is available at depths ranging between 70-180 meters. It is also characterized by the presence of mixed soil suitable for agricultural production. The highest height in the basin was (120 meters) at the sources, while the lowest height was (20 meters) at the mouth. The depth of surface runoff in the case of wet soil reached (0.203), while the volume of surface runoff in plants reached ((0.032) million m3). In the case of High humidity and the volume of surface runoff in the basin was 15.65 mm), while the volume of surface runoff in the basin was (2.370 million m3).
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Siddi Raju R., Sudarsana Raju G., Rajasekhar M, 2018,Estimation of Rainfall-Runoff using SCS-CN Method with RS and GIS Techniques for Mandavi Basin in YSR Kadapa District of Andhra Pradesh, India ,Hydrospatial Analysis, 2(1), 1-15.
Khaddor I., Mohammed Achab M., Mohamed Rida Soumali, Adil Hafidi Alaoui , 2017, Rainfall-Runoff calibration for semi-arid ungauged basins based on the cumulative observed hyetograph and SCS Storm model: Application to the Boukhalef watershed (Tangier, North Western Morocco), Journal of Materials and Environmental Sciences, JMES, Volume 8, Issue 10, Page 3795.
Chen T, de Jeu R, Liu Y, van derWerf G, Dolman A (2014) Using satellite-based soil moisture to quantify the water driven variability in NDVI: a case study over mainland australia. Remote Sens Environ 140:330–338. https://doi.org/10.1016/j.rse.2013.08.022.
Bo X, Qing-Hai W, Jun F, Feng-Peng H, Quan-Hou D., 2011, Application of the SCS-CN model to runoff estimation in a small watershed with high spatial heterogeneity,p738.
Lim, K.J.; Engel, B.A.; Muthukrishnan, S.; Harbor, J. Effect of initial abstraction and urbanizationon estimated runoff using CN technology. J. Am. Water Resour. Assoc. 2006, 629.
Mishra, S. K., and Singh, V. P. (2004). “Long-term hydrologic simulationbased on soil conservation service curve number.” Hydrol. Proc., P,121–131.
Robinson DA, Campbell CS, Hopmans JW, Hornbuckle BK, Jones SB, Knight R, Ogden F, Selker J, Wendroth O (2008) Soil moisture measurement for ecological and hydrological watershed-scale observatories: a review. Vadose Zone J 7:358. https://doi.org/10.
/vzj2007.0143.
Schneider, M. K., Brunner, F., Hollis, J. M. and Stamm, C.: Towardsa hydrological classification of European soils: preliminary testof its predictive power for the base flow index using river dischargedata, Hydrol. Earth Syst. Sci., 11, 1501–1513, 2007,p13.
Wang C, Qi J (2000) Soil moisture extraction in sparse vegetated area using SAR and TM data. Geosci Remote Sens Symp. https://doi.org/10.1109/IGARSS.2000.858088
Penna D, Tromp-van Meerveld H, Gobbi A, Borga M, Dalla Fontana G (2011) The influence of soil moisture in threshold runoff generation processes in an alpine headwater catchment. Hydrol Earth Syst Sci 15:689–702. https://doi.org/10.5194/hess-15-689-2011
( ) Jiang, R.: Investigation of Runoff Curve Number Initial Abstraction Ratio. MS Thesis, Watershed Management, University ofArizona, 120 pp., 2001.
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