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DAM SITE SUITABILITY MAPPING USING GIS-BASED DAM SUITABILITY STREAM MODEL ‘DSSM’: A CASE STUDY ON THE ARGHISTAN WATERSHED IN HELMAND MAJOR BASIN, AFGHANISTAN

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Volume 2, Issue 2, Pp 21-33, 2024

DOI: 10.61784/ajes3001

Author(s)

Ataullah Darzar

Affiliation(s)

Kandahar University, Engineering Faculty, Civil Department, Kandahar, Afghanistan.

Corresponding Author

Ataullah Darzar

ABSTRACT

Suitable dam site selection is an essential or very important task in water resource management. The southern zone of Afghanistan is one of those areas that faces many Dam-related problems, such as hydroelectric power, agricultural products, low water table or less recreational activity. At the same time, the economy of this area is largely based on agriculture. Therefore, to solve these problems we should construct more dams at different areas, because dams can serve and solve these problems. This study used six influencing factors (Stream Order “Distance to Stream”, Slope, Geology, Land use/cover, Soil and Digital Elevation Model DEM) in conjunction with Dam Suitability Stream Model DSSM as Multi-Criteria Decision Analysis (MCDA), to generate dam site suitability map of the Arghistan watershed, which is located in the Helmand major basin along Paktika, Ghazni, Zabul, and Kandahar provinces of Afghanistan. Each influencing factor in DSSM is weighted using Analytical Hierarchy Process AHP, before being subjected to two-time overlay analysis in Geographical Information System (ArcGIS 10.7.1) platform. 1st where Stream Order is considered as the main parameter to create suitability on the stream map. 2nd as a counterpart of Stream Order, the Distance to Streams layer is utilized to create an overall suitability map. Four kinds of suitability’s are visualized in each of the resulting maps, such as “Not, less, moderate, or high suitable”. By storing water for various local or regional applications the planned dam sites will lower the risk of flooding and provide hydroelectric power. Additionally, using the reservoir’s stored water for farming.

KEYWORDS

DSSM; GIS; AHP; MCDA; Dam Site Suitability; Arghistan Watershed

CITE THIS PAPER

Ataullah Darzar. Dam site suitability mapping using GIS-based dam suitability stream model ‘DSSM’: A case study on the Arghistan watershed in Helmand major basin, Afghanistan. Academic Journal of Earth Sciences. 2024, 2(2): 21-33. DOI: 10.61784/ajes3001.

REFERENCES

[1] Adham A, Riksen M, Ouessar M, Ritsema C. A methodology to assess and evaluate rainwater harvesting techniques in (semi-) arid regions. Water, 2016, 8(198).  https://doi.org/10.3390/w8050198

[2] Chen J.L, C.R. Wilson, B.D. Tapley, Z.L. Yang, and G.Y. Niu. 2005 drought event in the Amazon basin as measured by GRACE and estimated by climate models. Journal of Geophysical Research, 2009, 114(B5), p. B05404. https://doi:10.1029/2008JB006056.

[3] Gleick P.H. the world’s water: The biennial report on freshwater. Island Press, Washington, 2014, 8: 475–478. https://doi.org/10.5822/978–1–61091–483–3.

[4] Guppy L, Anderson K. Water crises report, the facts united nations university institute of water, environmental and health. Hamilton, Canada, 20017, ISBN: 978–92–808–6083–2.

[5] Gupta A.D, Pandey P, Feijóo A, Yaseen Z.M, Bokde N.D. Smart Water Technology for Ef?cient Water Resource Management: A Review. Energies, 2020, 13(23), 6268. https://doi.org/10.3390/en13236268.

[6] Hooke J, Mant, J. Geomorphological impacts of a flood event on ephemeral channels in SE Spain. Geomorphology, 2000, 34(3-4): 163–180. https://doi.org/10.1016/S0169–555X(00)00005–2.

[7] Jha MK, Chowdary VM, Kulkarni Y, Mal BC. Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis. Resour Conserv Recycle, 2014, 83: 96–111. https://doi.org/10.1016/j.resconrec.2013.12.003.

[8] Jozaghi A, Alizadeh B, Hatami M, Flood I, Khorrami M, Khodaei N, Ghasemi Tousi E. A Comparative Study of the AHP and TOPSIS Techniques for Dam Site Selection Using GIS: A Case Study of Sistan and Baluchestan Province, Iran. Geosciences, 2018, 8: 494, https://doi.10.3390/geosciences8120494.

[9] LIasat M, del C. Rigo T. Barriendos M. The “Montserrat-2000” flash-flood event: a comparison with the flood that have occurred in the Northeastern Iberian Peninsula since the 14th Century. International Journal of Climatology, 2003, 23 (4): 453-469. https://doi.org/10.1002/joc.888.

[10] Maillet G.M. et al. Morphological changes and sedimentary processes induced by the December 2003 flood event at the present mouth of the Grand Rhane River (Southern France). Marine Geology 234, 2006, (1–4): 159-177. https://doi.org/10.1016/j.margo.2006.09.025.

[11] Mardani A. et al. Multiple criteria decision-making techniques and their applications-a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istrazivanja, 2015, 28(1): 516-571. https://dx.doi.org/10.1080/1331677X.2015.1075139.

[12] Marinoni O. Implementation of the analytic hierarchy process with VBA in ArcGIS. Computers and Geosciences, 2004, 30(6): 637-646. https://dx.doi.org/j.cageo.2004.03.010.

[13] McVicar T.R, Bierwirth P.N. Rapidly assessing the 1997 drought in Papua New Guinea using composite AVHRR imagery. International Journal of Remote Sensing, 2001, 22(11): 2109–2128. https://doi.org/10.1080/014311601300190631.

[14] Mondlane A.L. Floods and droughts in Mozambique-the Paradoxical need of strategies for mitigation and coping with uncertainty. In 4th International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation (RISK 2004) 4th, 9: 371–379. https://doi.org/10.2495/RISK040321.

[15] Riley W.D, Potter E.C.E, Biggs J, Collins A.L, Jarvie H.P, Jones J.I, Kelly-Quinn M, Ormerod S.J, Sear D.A, Wilby R.L, et al. Small Water Bodies in Great Britain and Ireland: Ecosystem function, human-generated degradation, and options for restorative action. Science of the Total Environment, 2018, 645: 1598–1616. https://doi.org/10.1016/j.scitotenv.2018.07.243.

[16] Saaty T.L. The analytic hierarchy process planning, priority setting, resource allocation. McGraw Hill, New York, 1980. https://WWW.worldcat.org/research?qt=worldcat_org_all&q=0070543712.

[17] Saaty T.L. Decision making with analytic hierarchy process. International Journal of Services Sciences, 2008, 1(1): 83–98. https://doi.org/10.1504/IJSSCI.2008.017590.

[18] Shreve R.L. Statical law of stream numbers. The Journal of Geology, 1966, 74(1): 17–37. https://doi.org/10.1086/627137.

[19] Smith S, Renwick W, Bartley J, Buddemeier R. Distribution and signi?cance of small, arti?cial water bodies across the United States landscape. Science of the Total Environment. 2002, 299(1–3): 21–36.

[20] https://doi.org/10.1016/s0048–9697(02)00222–x.

[21] Strahler A.N. Quantitative analysis of watershed geomorphology. Transactions, American Geophysical Union, 1957, 38(6): 913–920. https://dx.doi.org/10.1029/TR038i006p00913

[22] The World Bank, Revitalizing Agriculture for growth, jobs, and food security in Afghanistan, 2015/04/24. https://WWW.Worldbank.org/en/country/Afghanistan/publication/revitalizing-Agriculture-for-growth-jobs-and-food-security-in-Afghanistan.

[23] USDA-SCS. Soil survey of travis county texas agricultural experiment station. USDA soil conservation service, Washington, 1974.

[24] Wang Y, Tian Y, Cao Y. Dam siting: A Review. Water, 2021, 13, 2080. https://doi.org/10.3390/w13152080.

[25] Dai X. Dam site selection using an integrated method of AHP and GIS for decision making   support in Bortala, Northwest China. Lund University, Lund, 2016. https://purl.utwente.nl/essays/83855.

[26] Yasser M, Jahangir K, Mohammad A. Earth dam site selection using the analytic hierarchy process (AHP): a case study in the west Iran. Arabian Journal of Geoscience, 2013 (6): 3417-3426. https://doi.org/10.1007/s12517–012–0602–x.

[27] Zhang Z, Liu J, Huang J. Hydrologic impacts of cascade dams in a small headwater watershed under climate variability. Journal of Hydrology, 2020, 590, 125426. https://doi.org/10.1016/j.jhydrol.2020.125426.

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