Choosing a suitable site for dam is a crucial phase in dam construction. A successful outcome of this effort is initiated by taking into consideration some watershed properties and characteristics. The objective of this study was to determine suitable sites for dam construction along Beresa River Watershed of Debre Berhan town, Ethiopia. The method used was based on consideration of seven criteria which included topographic factors (slope), geological factors, soil type, catchment size, and land cover, proximity to river and proximity to roads using geospatial tools. Each factor was standardized to a common measurement scale so that the results represent numeric range giving higher values to more suitable and lower values to less suitable attributes. Weighted overlay analysis was applied to obtain layers showing suitable sites for dam construction. The final suitability map of the study area shows that from the total area, 0.53ha (0.01%) was mapped in most suitable, 0.35ha (0.01%) in more suitable, 1.32ha (0.02%) in suitable, 0.33ha (0.01%) in less suitable and 5708.47ha (99.96%) unsuitable for dam site selection and construction. The study proved that, the system will provide reliable and easy system for dam site selection and construction in the study area.
| Published in | American Journal of Remote Sensing (Volume 12, Issue 2) |
| DOI | 10.11648/j.ajrs.20241202.12 |
| Page(s) | 46-52 |
| Creative Commons |
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 |
GIS, Weighted Overlay, Suitability Analysis, Beresa River, AHP, Weighted Overlay
| [1] | Ghazal, N. K. and Salman, S. R.. (2015). Determining the Optimum Site of Small Dams Using Remote Sensing Techniques and GIS. International Journal of Scientific Engineering and Research (IJSER), 3, 69-73. |
| [2] | Government of Western Australia. (2014). Dam Construction and Operation in Rural Areas. Water Quality Protection Note 53 Rural Dams, 1-27. |
| [3] | Hoekstra, A. Y.; Chapagain, A. K. (2007). Water footprints of nations: Water use by people as a function of their consumption pattern. |
| [4] | Kassaye Hussien, Gezahagn Woldu and Shimelis Birhanu. (2019). A GIS-Based Multi-Criteria Land Suitability Analysis for Surface Irrigation along the Erer Watershed, Eastern Hararghe Zone, Ethiopia. |
| [5] | M Rafiqul Islam, Munshi Rashid Ahmad, Muhammad Nurul Alam, Mong Sanue Marma, Abdul Gafur. (2020). Micro-watershed Delineation and Potential Site Selectionfor Runoff Water Harvesting Using Remote Sensing andGIS in a Hilly Area of Bangladesh. American Journal of Water Resources. |
| [6] | Munyao, J. N. (2010). Use of Satellite Products to Assess Water Harvesting Potential in Remote Areas of Africa: A Case Study of Unguja Island. Enschede, The Netherlands. |
| [7] | Njiru, F. M. and Siriba, D. N. (2018). Site Selection for an Earth Dam in Mbeere North, Embu County—Kenya. Journal of Geoscience and Environment Protection, 6, 113-133. |
| [8] | Pimentel, D. and Burgess, M. (2013). Soil Erosion Threatens Food Production. Agriculture, 3, 443-463. Retrieved from |
| [9] | Queensland. (2017). Environmental Factors That Influence Site Selection. |
| [10] | Saaty. T, L. (2008). Decision making with the analytic hierarchy process. International Journal Services Sciences, 1:1, p. 83-89. |
| [11] | Thanoon, H. A. and Ahmed, K. A.. (2013). Hydrological Information Extraction for Dams Site Selection Using Remote Sensing Techniques and Geographical Information System. Al-Rafidain Engineering, 21, 102-114. |
| [12] | Veldkamp, T. I. E.; Wada, Y.; Aerts,. (2017). Water scarcity hotspots travel downstream due to human interventions in the 20th and 21st century. |
APA Style
Asefa, B. (2024). Geospatial Based Dam Potential Site Selection in the Catchment Area of Beressa River, Debre Berhan, Ethiopia. American Journal of Remote Sensing, 12(2), 46-52. https://doi.org/10.11648/j.ajrs.20241202.12
ACS Style
Asefa, B. Geospatial Based Dam Potential Site Selection in the Catchment Area of Beressa River, Debre Berhan, Ethiopia. Am. J. Remote Sens. 2024, 12(2), 46-52. doi: 10.11648/j.ajrs.20241202.12
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Download@article{10.11648/j.ajrs.20241202.12,
author = {Bedasa Asefa},
title = {Geospatial Based Dam Potential Site Selection in the Catchment Area of Beressa River, Debre Berhan, Ethiopia
},
journal = {American Journal of Remote Sensing},
volume = {12},
number = {2},
pages = {46-52},
doi = {10.11648/j.ajrs.20241202.12},
url = {https://doi.org/10.11648/j.ajrs.20241202.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajrs.20241202.12},
abstract = {Choosing a suitable site for dam is a crucial phase in dam construction. A successful outcome of this effort is initiated by taking into consideration some watershed properties and characteristics. The objective of this study was to determine suitable sites for dam construction along Beresa River Watershed of Debre Berhan town, Ethiopia. The method used was based on consideration of seven criteria which included topographic factors (slope), geological factors, soil type, catchment size, and land cover, proximity to river and proximity to roads using geospatial tools. Each factor was standardized to a common measurement scale so that the results represent numeric range giving higher values to more suitable and lower values to less suitable attributes. Weighted overlay analysis was applied to obtain layers showing suitable sites for dam construction. The final suitability map of the study area shows that from the total area, 0.53ha (0.01%) was mapped in most suitable, 0.35ha (0.01%) in more suitable, 1.32ha (0.02%) in suitable, 0.33ha (0.01%) in less suitable and 5708.47ha (99.96%) unsuitable for dam site selection and construction. The study proved that, the system will provide reliable and easy system for dam site selection and construction in the study area.
},
year = {2024}
}
TY - JOUR T1 - Geospatial Based Dam Potential Site Selection in the Catchment Area of Beressa River, Debre Berhan, Ethiopia AU - Bedasa Asefa Y1 - 2024/11/28 PY - 2024 N1 - https://doi.org/10.11648/j.ajrs.20241202.12 DO - 10.11648/j.ajrs.20241202.12 T2 - American Journal of Remote Sensing JF - American Journal of Remote Sensing JO - American Journal of Remote Sensing SP - 46 EP - 52 PB - Science Publishing Group SN - 2328-580X UR - https://doi.org/10.11648/j.ajrs.20241202.12 AB - Choosing a suitable site for dam is a crucial phase in dam construction. A successful outcome of this effort is initiated by taking into consideration some watershed properties and characteristics. The objective of this study was to determine suitable sites for dam construction along Beresa River Watershed of Debre Berhan town, Ethiopia. The method used was based on consideration of seven criteria which included topographic factors (slope), geological factors, soil type, catchment size, and land cover, proximity to river and proximity to roads using geospatial tools. Each factor was standardized to a common measurement scale so that the results represent numeric range giving higher values to more suitable and lower values to less suitable attributes. Weighted overlay analysis was applied to obtain layers showing suitable sites for dam construction. The final suitability map of the study area shows that from the total area, 0.53ha (0.01%) was mapped in most suitable, 0.35ha (0.01%) in more suitable, 1.32ha (0.02%) in suitable, 0.33ha (0.01%) in less suitable and 5708.47ha (99.96%) unsuitable for dam site selection and construction. The study proved that, the system will provide reliable and easy system for dam site selection and construction in the study area. VL - 12 IS - 2 ER -
Department of Surveying Engineering, Debre Berhan University, Debre Berhan, Ethiopia
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