Technical Papers
Jul 2, 2014

Prioritization of Small and Medium Domestic Dams in Dry Lands

Publication: Journal of Irrigation and Drainage Engineering
Volume 141, Issue 1

Abstract

The feasibility of small and medium dams in arid environments is studied. A novel method for prioritization of dam commissioning is proposed. The method focuses on key hydrologic and economic factors that affect the investment decision-making process. Ranking for priorities is developed in a geographic information system (GIS)-aided environment. Evaluated parameters are based on extensive field data including topographic surveys and site visits, land cover and soils data, precipitation data, runoff data, demography, construction costs, and operation and maintenance costs. Reservoir yield, reliability, and annualized cost per satisfied demand are the three main criteria used in the methodology. Results of a case study on 12 proposed dams in Assir Region, Saudi Arabia, indicate that assessment of these criteria is crucial prior to investment decision-making in arid areas. More than three quarters of the small and medium dams proposed have been found to have a high cost of water productivity and very low reliability, despite a high yield. The developed method highlights the degree of the economic and hydrologic feasibility of small and medium dams in arid areas.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

The author remains grateful for the late engineer Hassan Youssef of Saudi Consulting Engineering, who provided the rainfall data necessary for the completion of this work. The author would like to thank two anonymous reviewers for their valuable comments.
The author would like to express his gratitude for the Munib and Angela Masri Institute of Energy & Natural Resources for supporting this research.

References

Adeloye, A. J., Montaseri, M., and Garmann, C. (2001). “Curing the misbehavior of reservoir capacity statistics by controlling shortfall during failures using the modified sequent peak algorithm.” Water Resour. Res., 37(1), 73–82.
Al-Qurashi, A., McIntyre, N., Wheater, H., and Unkrich, C. (2008). “Application of the Kineros2 rainfall-runoff model to an arid catchment in Oman.” J. Hydrol., 355(1–4), 91–105.
Andersen, G., Cox, C., Chouinard, L., and Hover, W. (2001). “Prioritization of ten embankement dams according to physical deficiencies.” J. Goetech. Geoenviron. Eng., 335–345.
Bartholomé, E., and Belward, A. S. (2005). “GLC2000: A new approach to global land cover mapping from Earth observation data.” Int. J. Rem. Sensing, 26(9), 1959–1977.
Chouinard, L., Andersen, G., and Torrey, V. III (1996). “Ranking models used for condition assessement of civil infrastructure systems.” J. Infrastruct. Syst., 23–29.
Department of Land Management. (1985). General soil map of Saudi Arabia, Ministry of Agriculture and Water, Riyadh, Saudi Arabia.
Directorate of Projects Implementation. (2006). Dams in Saudi Arabia, Ministry of Water and Electricity, Riyadh, Saudi Arabia.
FAO/IIASA/ISRIC/ISSCAS/JRC. (2012). Harmonized world soil database (version 1.2), FAO, Rome and IIASA, Laxenburg, Austria.
Hydrology Division. (1983). Hydrological Publication No.98, Dept. of Water Resources Development, Ministry of Agriculture and Water, Riyadh, Saudi Arabia.
International Water Management Institute. “World water and climate atlas.” 〈http://www.iwmi.cgiar.org/resources/world-water-and-climate-atlas/〉.
Javed, A., Khanday, M. Y., and Ahmed, R. (2009). “Prioritization of sub-watersheds based on morphometric and land use analysis using remote sensing and GIS techniques.” J. Indian Soc. Remote Sensing, 37(2), 261–274.
Lambert, J. H., et al. (2012). “Prioritizing infrastructure investments in Afghanistan with multi-agency stakeholders and deep uncertainty of emergent conditions.” J. Infrastruct. Syst., 155–166.
Lange, J., Leibundgut, C., Greenbaum, N., and Schick, A. P. (1999). “A noncalibrated rainfall–runoff model for large, arid catchments.” Water Res. Res., 35(7), 2161–2172.
Maidment, D. R. (2002). Arc hydro: GIS for water resources, ESRI Press, Redlands, CA.
Mcintyre, N., and Al-Qurashi, A. (2009). “Performance of ten rainfall–runoff models applied to an arid catchment in Oman.” Environ. Model. Software, 24(6), 726–738.
Michaud, J., and Sorooshian, S. (1994). “Comparison of simple versus complex distributed runoff models on a midsized semiarid watershed.” Water Resour. Res., 30(3), 593–606.
Ministry of Water, and Electricity, K. o. (2013). Information and statistics center, 〈http://intranet.mowe.gov.sa/Dams/〉 (Sep. 1, 2013).
NASA. (2008). UMD landcover classification, 〈http://glcf.umiacs.umd.edu/data/landcover〉 (Jun. 15, 2008).
Natural Resources Conservation Service. (1997). National engineering handbook—Part 630—Hydrology, U.S. Dept. of Agriculture, Washington, DC.
Pegram, G. (1980). “On reservoir reliability.” J. Hydrol., 47(3), 269–296.
Ratnam, K. N., Srivastava, Y. K., Rao, V. V., Amminedu, E., and Murthy, K. S. R. (2005). “Check dam positioning by prioritization of micro-watersheds using SYI model and morphometric analysis—Remote sensing and GIS perspective.” J. Indian Soc. Remote Sens., 33(1), 25–38.
Reuter, A. J., Nelson, A., and Guevara, E. (2008). Hole-filled seamless SRTM data V4, 〈http://srtm.csi.cgiar.org/〉 (Oct. 1, 2008).
Rijsberman, F. R. (2006). “Water scarcity: Fact or fiction?” Agricult. Water Manage., 80(1–3), 5–22.
Saghafian, B., Sima, S., Sadeghi, S., and Jeirani, F. (2012). “Application of unit response approach for spatial prioritization of runoff and sediment sources.” Agricult. Water Manage., 109, 36–45.
Saudi Geological Survey. (2008). How to order, 〈http://www.sgs.org.sa/English/Products/Pages/HowToOrder.aspx〉 (Jun. 1, 2008).
Shovic, H. f., Hazelton, J. M., Roylance, S. M., and Christenson, L. (2011). “Water resources improvement in southeast Afghanistan: Remote project planning and decision support modeling.” Watershed management 2010: Innovations in watershed management under land use and climate control, American Society of Civil Engineers, Washington, DC, 1094–1064.
UNEP. (1997). World atlas of desertification, United Nations Programme, London.
USDA SCS. (1985). National engineering handbook, supplement A, section 4, U.S. Dept. of Agriculture, Washington, DC.
U.S. Weather Bureau. (1958a). TP-29, Rainfal intensity-frequency regime, part 2, U.S. Dept. of Commerce, Washington, DC.
U.S. Weather Bureau. (1958b). TP-29, Rainfal intensity-frequency regime, part 3, U.S. Dept. of Commerce, Washington DC.
Yapo, P. O., Gupta, H. V., and Sorooshian, S. (1996). “Automatic calibration of conceptual rainfall–runoff models: Sensitivity to calibration data.” J. Hydrol., 181(1), 23–48.

Information & Authors

Information

Published In

Go to Journal of Irrigation and Drainage Engineering
Journal of Irrigation and Drainage Engineering
Volume 141Issue 1January 2015

History

Received: Jan 27, 2014
Accepted: Apr 25, 2014
Published online: Jul 2, 2014
Discussion open until: Dec 2, 2014
Published in print: Jan 1, 2015

Permissions

Request permissions for this article.

Authors

Affiliations

H. H. Jaafar, A.M.ASCE [email protected]
Assistant Professor, Dept. of Agriculture, American Univ. of Beirut, Beirut, Lebanon 11-0236 1107 2020. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share