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
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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
AMA 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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