GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia

Bayissa Muleta; Teshome Seyoum; Shimelis Assefa

doi:doi:10.11648/j.ajwse.20220801.13

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GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia

Bayissa Muleta, Teshome Seyoum, Shimelis Assefa

Published in American Journal of Water Science and Engineering (Volume 8, Issue 1)

Received: 21 February 2022 Accepted: 24 March 2022 Published: 31 March 2022

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Abstract

Rainwater harvesting is the process of intercepting, conveying and storing rainfall for future use as an alternative source of water in the drought prone areas of Ethiopia especially eastern Oromia. The aim of the research was to assess and mapping suitability area of water harvesting site in Daro Labu District. There are various methodologies and criteria to identify suitable sites and techniques for rainwater harvesting (RWH). Determining the best method or guidelines for site selection, however, is difficult. GIS is the recent technology of spatiotemporal data used to assess the factor of influences for rainfall and runoff depth estimation for identification of potential area of RWH for crop production and mapping of the potential site. The influence factors for consideration of the assessment was climate data, soil texture and depth, land use and land cover (LULC) type, slope difference were used. The total area of the catchment was about 156064.72 ha. The SCS–CN for rainfall used to runoff depth estimation compute runoff and volume from the land surface depend on the level of antecedent moisture condition (AMC.) The length of wet and dry season of the study area were known with antecedent moisture condition (AMC) of II, I III by having the values of 82, 67 and 91 respectively. The annual of 20 years average rainfall was 925.2 mm with maximum and minimum of 1134 mm and 737.3 mm respectively with average annual runoff depth of estimate was 185.3 mm. From the estimated annual runoff the volume of water harvested was about 2.89 × 10⁸ m³. The suitability map of the study area shows extremely potential, highly potential, potential and not potential accounts by coverage areas about (12,797.3 ha) 8.2%, (25,906.7 ha) 16.6%, (98,302.8 ha) 63.5%, and (19,040 ha) 7.5% respectively. The runoff in the study area was affected by geomorphological factors, particularly, land use change, topography, soil texture and depth, drainage density, and population density affects the runoff rate and volume significantly.

Published in	American Journal of Water Science and Engineering (Volume 8, Issue 1)
DOI	10.11648/j.ajwse.20220801.13
Page(s)	21-35
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), 2022. Published by Science Publishing Group

Keywords

ArcGIS, Rainwater Harvesting, SCS-Curve Number, Suitability Area, Daro Labu

References

[1]	Alemayeh, A., & Bewket, B. 2016. Local climate variability and crop production in the central high lands of Ethiopia. Environmental Development. http://dx.doi.org/10.1016/j.envdev.2016.06.002.
[2]	Ali, M. 2012. State of Water Supply and Consumption in Urban Areas at Household Level: A Case Study of East Wollega Zone, Ethiopia. British Journal of Humanities and Social Sciences, Vol. 5. http://www.ajournal.co.uk/HSpdfs/HSvolume.
[3]	Ammar A, Riksen M, Ouessar M, Ritsema C., 2016. Identification of suitable sites for rainwater harvesting structures in arid and semiarid regions: a review. International Soil Water Conservation Resources 4 (2): 108–120.
[4]	Amos C. C., Rahman, A., Gathenya, J. M., 2016. Economic Analysis and Feasibility of Rainwater Harvesting Systems in Urban and Peri-Urban Environments: A Review of the Global Situation with a Special Focus on Australia and Kenya. 8 (4), 149.
[5]	Angrill, S., Farreny, R., Gasol, C. M., Gabarrell, X., Viñolas, B., Josa, A., Rieradevall, J., 2012. Environmental analysis of rainwater harvesting infrastructures in diffuse and compact urban models of Mediterranean climate. International Journal of Life Cycle Assessment 17 (1), 25-42.
[6]	Bewket W., 2009. Rainwater Harvesting as a Livelihood Strategy in the Drought- Prone Areas of Amhara region of Ethiopia. Organization for Social Science Research in Eastern and Southern Africa (OSSREA).
[7]	Biazin, B., Sterk, G., Temesgen, M., Abdulkedir, A., & Stroosnijder, L. 2012. Rainwater harvesting and management in rainfed agricultural systems in sub-Saharan Africa-A review Physics and Chemistry of the Earth, Parts A/B/C, (47-48), 139-151. http://dx.doi.org/10.1016/j.pce.2011.08.015
[8]	Bouna, J. A., Hegde, S. S., & Lasage, R. 2016. Assessing the returns to water harvesting: A meta-analysis. Agricultural Water Management, 163, 100-109. http://dx.doi.org/10.1016/j.agwat.2015.08.012
[9]	Dillon, P., 2005. Future management of aquifer recharge. Journal of Hydrogeology 13 (1), 313-316.
[10]	De Winnaar, G., Jewitt, G. P. W. and Horan, M., 2007. A GIS-based approach for identifying potential runoff harvesting sites in the Thukela River basin, South Africa. Journal of Physics and Chemistry of the Earth, Parts A/B/C, 32 (15-18), pp. 1058-1067.
[11]	FAO, 2003. Unlocking the water potential of Agriculture, Rome, Italy.
[12]	FAOWATER. 2012. Hot Issue on Water scarcity; water and poverty, an issue of life and livelihood. Natural Resources and Environment Department; FAOWATER development and management unit. http://www.fao.org/nr/water/issues/scarcity.htm
[13]	Feki, F., Weissen bacherb, N., Assefa, E., Oltod, E., Gebremariame, M. K., Dalechac, T., Shibrue, B., Sayadia, S., and Langergraberb, G. 2014. Rain water harvesting as additional water supply for multi-store buildings in Arba Minch, Ethiopia. Desalination and Water Treatment, 53, 1060-1067. https://doi.org/10.1080/19443994.2014.880156
[14]	Field, V. R. Barros, D. J. Dokken, K. J. Mach, M. D. Mastrandrea, T. E. Bilir, L. L. White IPCC, 2014: climate change impacts, adaptation, and vulnerability.
[15]	Fitsum Y., Hordofa, T., & Abera, Y. 2014. Review of Water Harvesting Technologies for Food Security in Ethiopia: Challenges and Opportunities for the Research System. Journal of Natural Sciences Research, 4 (18): 40-49.
[16]	Getachew A. 1999. Water Harvesting a Water Security Strategy for Mitigating the Impact of Drought in Ethiopia. Addis Ababa, Ethiopia.
[17]	Girma Mogos Ketsela, 2009. Identification of potential rain water harvesting areas. Central Rift Valley of Ethiopia using a GIS Based Methodology. Wageningen University, Netherland.
[18]	Ghaffarian Hoseini, A., Tookey, J., Ghaffarian Hoseini, A., Yusoff, S. M., Hassan, N. B., 2016. State of the Art of Rainwater Harvesting Systems towards Promoting Green Built Environments: A Review, Desalination, and Water Treatment 57 (1), 95-104.
[19]	Hamel, P., Fletcher, T. D., Daly, E., Beringer, J. 2012. Water retention by rain gardens: implications for local-scale soil moisture and water fluxes. In: Wong, T. H. F., McCarthy, D. T. 7^th edition. International Conference on Water Sensitive Urban Design, Engineers Australia, Melbourne, Australia, 2012.
[20]	Jiang, Z., Li, X., Ma, Y., 2013. Water and Energy Conservation of Rainwater Harvesting System in the Loess Plateau of China. Journal of Integrative Agriculture 12 (8), 1389-1395.
[21]	Ly S, Charles C, Degré A., 2013. Different methods for spatial interpolation of rainfall data for operational hydrology and hydrological modeling at watershed scale. A review. Biotechnology, Agronomy and Socio Environ 17 (2): 392–406.
[22]	Laanearu, J., Borodinecs, A., Rimeika, M. and Palm, B., 2017, October. A review on potential use of low-temperature water in the urban environment as a thermal-energy source. In IOP Conference Series: Materials Science and Engineering (Vol. 251, No. 1, p. 012054). IOP Publishing.
[23]	Madan K, Chowdary VM, Kulkarnia Y, Mal BC. 2014. Rainwater harvesting planning using geospatial techniques and multi-criteria decision analysis. Resource Conservation Recycle 83 (12): 96–111.
[24]	Malcozewski, J., 2004. GIS- based land- use suitability analysis: a critical overview. Program Planning. 62, 3–65.
[25]	Mbilinyi, B. P., Tumbo, S. D., Mahoo, H. F., Mkilamwinyi, F. 2014. Identification of Suitable. Indices for Identification of Potential Sites for Rainwater Harvesting. Tanzania Journal of Agricultural Science 12, 35–46.
[26]	Mockus, V., 1964. National engineering handbook. US Soil Conservation Service: Washington, DC, USA, 4.
[27]	Moutaz, Al., 2001. Surface water modeling using GIS and remote sensing: A case study in Malewa catchment, Navaisha, Kenya.
[28]	Nemec, 1973. Engineering Hydrology. Mc Graw Hill publishing company Limited. New Delhi.
[29]	Parkes, C., Kershaw, H., Hart J., Sibille, R., Grant, Z. 2010. Energy and Carbon Implications of Rainwater Harvesting & Grey water Recycling. Final Report, Science Project Number: SC090018, Environment Agency, Bristol. http://publications.environment agency.gov.uk/pdf.
[30]	Prinz, D., Singh, A. K. 2008. Technological and Potential for Improvements of Water Harvesting Study for the World Commission on Dams, Cape Town, South Africa. Pretoria, South Africa.
[31]	Rao KHV, Durga, Bhaumik MK. 2003. Spatial Expert Support System in Selecting Suitable Sites for Water Harvesting Structures. A Case Study of Song Watershed, Uttaranchal, India. Geo-carto International 18, 43 - 50.
[32]	Sekar, I., Randhir, T. O. 2007. Spatial Assessment of Conjunctive Water Harvesting Potential in Watershed Systems. Journal of Hydrology, 334 (1) pp. 39-52.
[33]	Silveira, L., Charbonnier, F. and Genta, J. L., 2000. The antecedent soil moisture condition of the curve number procedure. Hydrological sciences journal, 45 (1), pp. 3-12.
[34]	Şen, Z., A. A. Alsheikh, A. S. Al-Turbak, A. M. Al-Bassam, A. M. AL-Dakheel, 2011. Climate Change Impact and Runoff Harvesting in Arid Regions.
[35]	Steffen, J., Jensen, M., Pomeroy, C. A., Burian, S. J. 2012. Water Supply and Storm water Management Benefits of Residential Rainwater Harvesting in U.S. cities. Journal of the American Water Resources Association 49 (4), 810-824.
[36]	Tumbo, S. D., Mbilinyi, B. P., Mahoo, H. F. and Mkilamwinyi, F. O., 2013. Identification of suitable indices for identification of potential sites for rainwater harvesting. Tanzania Journal of Agricultural Sciences, 12 (2).
[37]	USDA (United State Department of Agriculture). 1972. Soil Conservation Service, National Engineering Handbook. Hydrology Section 4. Chapters 4-10. Washington, D.C:
[38]	USDA, NRCS (United State Department of Agriculture and Natural Resources Conservation Services). 2009. The Plants Database. National Plant Data Center, Baton Rouge, LA. Website http://plants. usda. gov [accessed 21 December 2009].
[39]	Wakeyo, M. B., & Gardebroek, C. 2015. Empty pockets, empty ponds? Adoption of water harvesting technologies in Ethiopia. Journal of Arid Environments, 120, 75-86. http://dx.doi.org/10.1016/j.jaridenv.2015.04.013.
[40]	Ward S., Campisano, A., Butler, D., Burns, M. J., Friedler, E., DeBusk, K., Fisher-Jeffes, L. N., Ghisi, E., Rahman, A., Furumai, H. and Han, M., 2011. Urban rainwater harvesting systems: Research, implementation and future perspectives. Water research, 115, pp. 195-209WWC.
[41]	(World Water Council). 2012. http://www.worldwatercouncil.org/index.php?id=25 Under Suitability.
[42]	Zhang, Q., Li, S., Gu, and S., Tan, X. 2009. Water quality in the upper Han River basin, China: the impacts of land use/land cover in riparian buffer zone. Journal of hazardous materials, 165 (1-3), pp. 317-324.

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Bayissa Muleta, Teshome Seyoum, Shimelis Assefa. (2022). GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia. American Journal of Water Science and Engineering, 8(1), 21-35. https://doi.org/10.11648/j.ajwse.20220801.13

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ACS Style

Bayissa Muleta; Teshome Seyoum; Shimelis Assefa. GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia. Am. J. Water Sci. Eng. 2022, 8(1), 21-35. doi: 10.11648/j.ajwse.20220801.13

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AMA Style

Bayissa Muleta, Teshome Seyoum, Shimelis Assefa. GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia. Am J Water Sci Eng. 2022;8(1):21-35. doi: 10.11648/j.ajwse.20220801.13

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@article{10.11648/j.ajwse.20220801.13,
  author = {Bayissa Muleta and Teshome Seyoum and Shimelis Assefa},
  title = {GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia},
  journal = {American Journal of Water Science and Engineering},
  volume = {8},
  number = {1},
  pages = {21-35},
  doi = {10.11648/j.ajwse.20220801.13},
  url = {https://doi.org/10.11648/j.ajwse.20220801.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajwse.20220801.13},
  abstract = {Rainwater harvesting is the process of intercepting, conveying and storing rainfall for future use as an alternative source of water in the drought prone areas of Ethiopia especially eastern Oromia. The aim of the research was to assess and mapping suitability area of water harvesting site in Daro Labu District. There are various methodologies and criteria to identify suitable sites and techniques for rainwater harvesting (RWH). Determining the best method or guidelines for site selection, however, is difficult. GIS is the recent technology of spatiotemporal data used to assess the factor of influences for rainfall and runoff depth estimation for identification of potential area of RWH for crop production and mapping of the potential site. The influence factors for consideration of the assessment was climate data, soil texture and depth, land use and land cover (LULC) type, slope difference were used. The total area of the catchment was about 156064.72 ha. The SCS–CN for rainfall used to runoff depth estimation compute runoff and volume from the land surface depend on the level of antecedent moisture condition (AMC.) The length of wet and dry season of the study area were known with antecedent moisture condition (AMC) of II, I III by having the values of 82, 67 and 91 respectively. The annual of 20 years average rainfall was 925.2 mm with maximum and minimum of 1134 mm and 737.3 mm respectively with average annual runoff depth of estimate was 185.3 mm. From the estimated annual runoff the volume of water harvested was about 2.89 × 108 m3. The suitability map of the study area shows extremely potential, highly potential, potential and not potential accounts by coverage areas about (12,797.3 ha) 8.2%, (25,906.7 ha) 16.6%, (98,302.8 ha) 63.5%, and (19,040 ha) 7.5% respectively. The runoff in the study area was affected by geomorphological factors, particularly, land use change, topography, soil texture and depth, drainage density, and population density affects the runoff rate and volume significantly.},
 year = {2022}
}

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TY  - JOUR
T1  - GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia
AU  - Bayissa Muleta
AU  - Teshome Seyoum
AU  - Shimelis Assefa
Y1  - 2022/03/31
PY  - 2022
N1  - https://doi.org/10.11648/j.ajwse.20220801.13
DO  - 10.11648/j.ajwse.20220801.13
T2  - American Journal of Water Science and Engineering
JF  - American Journal of Water Science and Engineering
JO  - American Journal of Water Science and Engineering
SP  - 21
EP  - 35
PB  - Science Publishing Group
SN  - 2575-1875
UR  - https://doi.org/10.11648/j.ajwse.20220801.13
AB  - Rainwater harvesting is the process of intercepting, conveying and storing rainfall for future use as an alternative source of water in the drought prone areas of Ethiopia especially eastern Oromia. The aim of the research was to assess and mapping suitability area of water harvesting site in Daro Labu District. There are various methodologies and criteria to identify suitable sites and techniques for rainwater harvesting (RWH). Determining the best method or guidelines for site selection, however, is difficult. GIS is the recent technology of spatiotemporal data used to assess the factor of influences for rainfall and runoff depth estimation for identification of potential area of RWH for crop production and mapping of the potential site. The influence factors for consideration of the assessment was climate data, soil texture and depth, land use and land cover (LULC) type, slope difference were used. The total area of the catchment was about 156064.72 ha. The SCS–CN for rainfall used to runoff depth estimation compute runoff and volume from the land surface depend on the level of antecedent moisture condition (AMC.) The length of wet and dry season of the study area were known with antecedent moisture condition (AMC) of II, I III by having the values of 82, 67 and 91 respectively. The annual of 20 years average rainfall was 925.2 mm with maximum and minimum of 1134 mm and 737.3 mm respectively with average annual runoff depth of estimate was 185.3 mm. From the estimated annual runoff the volume of water harvested was about 2.89 × 108 m3. The suitability map of the study area shows extremely potential, highly potential, potential and not potential accounts by coverage areas about (12,797.3 ha) 8.2%, (25,906.7 ha) 16.6%, (98,302.8 ha) 63.5%, and (19,040 ha) 7.5% respectively. The runoff in the study area was affected by geomorphological factors, particularly, land use change, topography, soil texture and depth, drainage density, and population density affects the runoff rate and volume significantly.
VL  - 8
IS  - 1
ER  -

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Author Information

Bayissa Muleta

Oromia Agricultural Research Institute, Mechara Agricultural Research Center, Mechara, Ethiopia
Teshome Seyoum

School of Water Resource and Environmental Engineering, Haramaya University Institute of Technology, Dire Dawa, Ethiopia
Shimelis Assefa

School of Water Resource and Environmental Engineering, Haramaya University Institute of Technology, Dire Dawa, Ethiopia

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Bayissa Muleta, Teshome Seyoum, Shimelis Assefa. (2022). GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia. American Journal of Water Science and Engineering, 8(1), 21-35. https://doi.org/10.11648/j.ajwse.20220801.13

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ACS Style

Bayissa Muleta; Teshome Seyoum; Shimelis Assefa. GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia. Am. J. Water Sci. Eng. 2022, 8(1), 21-35. doi: 10.11648/j.ajwse.20220801.13

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AMA Style

Bayissa Muleta, Teshome Seyoum, Shimelis Assefa. GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia. Am J Water Sci Eng. 2022;8(1):21-35. doi: 10.11648/j.ajwse.20220801.13

Copy | Download

@article{10.11648/j.ajwse.20220801.13,
  author = {Bayissa Muleta and Teshome Seyoum and Shimelis Assefa},
  title = {GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia},
  journal = {American Journal of Water Science and Engineering},
  volume = {8},
  number = {1},
  pages = {21-35},
  doi = {10.11648/j.ajwse.20220801.13},
  url = {https://doi.org/10.11648/j.ajwse.20220801.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajwse.20220801.13},
  abstract = {Rainwater harvesting is the process of intercepting, conveying and storing rainfall for future use as an alternative source of water in the drought prone areas of Ethiopia especially eastern Oromia. The aim of the research was to assess and mapping suitability area of water harvesting site in Daro Labu District. There are various methodologies and criteria to identify suitable sites and techniques for rainwater harvesting (RWH). Determining the best method or guidelines for site selection, however, is difficult. GIS is the recent technology of spatiotemporal data used to assess the factor of influences for rainfall and runoff depth estimation for identification of potential area of RWH for crop production and mapping of the potential site. The influence factors for consideration of the assessment was climate data, soil texture and depth, land use and land cover (LULC) type, slope difference were used. The total area of the catchment was about 156064.72 ha. The SCS–CN for rainfall used to runoff depth estimation compute runoff and volume from the land surface depend on the level of antecedent moisture condition (AMC.) The length of wet and dry season of the study area were known with antecedent moisture condition (AMC) of II, I III by having the values of 82, 67 and 91 respectively. The annual of 20 years average rainfall was 925.2 mm with maximum and minimum of 1134 mm and 737.3 mm respectively with average annual runoff depth of estimate was 185.3 mm. From the estimated annual runoff the volume of water harvested was about 2.89 × 108 m3. The suitability map of the study area shows extremely potential, highly potential, potential and not potential accounts by coverage areas about (12,797.3 ha) 8.2%, (25,906.7 ha) 16.6%, (98,302.8 ha) 63.5%, and (19,040 ha) 7.5% respectively. The runoff in the study area was affected by geomorphological factors, particularly, land use change, topography, soil texture and depth, drainage density, and population density affects the runoff rate and volume significantly.},
 year = {2022}
}

Copy | Download

TY  - JOUR
T1  - GIS-Based Assessment of Suitability Area of Rainwater Harvesting in Daro Labu District, Oromia, Ethiopia
AU  - Bayissa Muleta
AU  - Teshome Seyoum
AU  - Shimelis Assefa
Y1  - 2022/03/31
PY  - 2022
N1  - https://doi.org/10.11648/j.ajwse.20220801.13
DO  - 10.11648/j.ajwse.20220801.13
T2  - American Journal of Water Science and Engineering
JF  - American Journal of Water Science and Engineering
JO  - American Journal of Water Science and Engineering
SP  - 21
EP  - 35
PB  - Science Publishing Group
SN  - 2575-1875
UR  - https://doi.org/10.11648/j.ajwse.20220801.13
AB  - Rainwater harvesting is the process of intercepting, conveying and storing rainfall for future use as an alternative source of water in the drought prone areas of Ethiopia especially eastern Oromia. The aim of the research was to assess and mapping suitability area of water harvesting site in Daro Labu District. There are various methodologies and criteria to identify suitable sites and techniques for rainwater harvesting (RWH). Determining the best method or guidelines for site selection, however, is difficult. GIS is the recent technology of spatiotemporal data used to assess the factor of influences for rainfall and runoff depth estimation for identification of potential area of RWH for crop production and mapping of the potential site. The influence factors for consideration of the assessment was climate data, soil texture and depth, land use and land cover (LULC) type, slope difference were used. The total area of the catchment was about 156064.72 ha. The SCS–CN for rainfall used to runoff depth estimation compute runoff and volume from the land surface depend on the level of antecedent moisture condition (AMC.) The length of wet and dry season of the study area were known with antecedent moisture condition (AMC) of II, I III by having the values of 82, 67 and 91 respectively. The annual of 20 years average rainfall was 925.2 mm with maximum and minimum of 1134 mm and 737.3 mm respectively with average annual runoff depth of estimate was 185.3 mm. From the estimated annual runoff the volume of water harvested was about 2.89 × 108 m3. The suitability map of the study area shows extremely potential, highly potential, potential and not potential accounts by coverage areas about (12,797.3 ha) 8.2%, (25,906.7 ha) 16.6%, (98,302.8 ha) 63.5%, and (19,040 ha) 7.5% respectively. The runoff in the study area was affected by geomorphological factors, particularly, land use change, topography, soil texture and depth, drainage density, and population density affects the runoff rate and volume significantly.
VL  - 8
IS  - 1
ER  -

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