Potential rainwater harvesting suitable land selection and management by using GIS with MCDA in Ebenat District, Northwestern Ethiopia
DOI:
https://doi.org/10.15243/jdmlm.2020.081.2537Keywords:
GIS, rainwater harvesting, suitable site, weighted linear combinationAbstract
Rainwater harvesting (RWH) is the way to reduce the effects of mid-season dry spells and drought, which often reduce crop yields. Geographic information system (GIS) with multi-criteria decision making (MCDA) is a powerful tool to identify and solve spatial problems like the identification of the suitable site of RWH. Sentinel image, soil, metrological row data, geological data, and digital elevation model (DEM) data were the source of a dataset to undertake the preprocessing, manipulation, and analysis the suitable site identification by using GIS and remote sensing spatial analysis. More than seven parameters where identified based on an extensive literature review which is land use/land-cover, soil textural, rainfall, lineament, slope, runoff density and curve number, distance from settlement and road. The multi-criteria decision-making method was used for weight value estimation of each criterion and finally, the rainwater harvesting suitability map was generated. The potentially suitable site was grouped into four levels of suitability, which accounts in hectare 3,620, 16,0618, 69,867, and 14,010 ha of highly suitable, moderately suitable, less suitable, and restricted respectively from the total area coverage of 248,115 ha respectively.References
Abdulrazzak, M. 2003. Water harvesting practices in selected countries of the Arabian Penisula, in Khartoum, Sudan: Proceeding of the Conference on Water Harvesting and the Future Development.
Adham, A., Riksen, M., Ouessar, M., Abed, R. and Ritsema, C. 2017. Development of methodology for existing rainwater harvesting assessment in (semi-) arid regions. In: Water and Land Security in Drylands. Springer International Publishing, 171–184.
Adham, A., Sayl, K.N., Abed, R., Abdeladhim, M. A., Wesseling, J. G., Riksen, M., Fleskens, L., Karim, U. and Ritsema, C.J. 2018. A GIS-based approach for identifying potential sites for harvesting rainwater in the Western Desert of Iraq. International Soil and Water Conservation Research 6(4): 297–304, doi: 10.1016/j.iswcr.2018.07.003.
Al-Adamat, R., AlAyyash, S., Al-Amoush, H., Al-Meshan, O., Rawajfih, Z., Shdeifat, A. and Al-Farajat, M. 2012. The combination of indigenous knowledge and geoinformatics for water harvesting siting in the Jordanian Badia. Journal of Geographic Information System 4(4): 366-376, doi: 10.4236/jgis.2012.44042
Alamerew, E. 2006. Towards widespread rainwater harvesting in Ethiopia: ERHA’s experience as a successful Rainwater Harvesting Capacity Centre (RHCC). In 10th Southern and Eastern Africa Rainwater Network (SearNet) International, Mombasa, Kenya.
Alem, G. 1999. Rainwater harvesting in Ethiopia: An overview. Integrated Development for Water Supply and Sanitation: Proceedings of the 25th WEDC Conference, 387–390.
Al-Shabeeb, A.R. 2016. The Use of AHP within GIS in selecting potential sites for water harvesting sites in the Azraq Basin - Jordan. Journal of Geographic Information System 8(1): 73–88, doi: 10.4236/jgis.2016.81008.
Ammar, A., Khamis, N.S., Rasha, A., Abdeladhim, M.A., Wesseling, J.G., Riksen, M., Fleskens, L., Karim, U. and Ritsema, C.J. 2018. A GIS-based approach for identifying potential sites for harvesting rainwater in the Western Desert of Iraq. International Soil and Water Conservation Research 6(4): 297-304.
Asala, L. 2017. Site Suitability Mapping of Water Harvesting Structures Using GIS and Remote Sensing. Case Study: Machakos County. University of Nairobi, 12-71.
Chaudhary, A., Mishra, S.K. and Pandey, A. 2013. Experimental verification of effect of slope on runoff and curve numbers. Journal of Indian Water Resources Society 33: 40 - 46.
Devereux, S. 2000. Food security in Ethiopia. A Discussion Paper for DFID. IDS Sussex.
Gashaw, D.Y. 2018. GIS-based Integrated Fuzzy Logic and Analytic Hierarchy Process model for Assessing Rainwater Harvesting Zones in Modjo Watershed, Central Ethiopia. Addis Ababa University, 14-109.
Haile, G. 2017. Modeling Approach for Identification of Potential Rainwater Harvesting Sites in Arsi Zone, Eastern Ethiopia. Addis Ababa University, 16-117.
Hussein, F. and Shariff, R. 2015. Selecion of rainwater harvesting sites by using remote sensig and GIS techniques: A case study of Kirkuk, raq. Jurnal Teknologi 76(15): 75-81, doi: 10.11113/jt.v76.5955.
Ibrahim, G.R.F., Rasul, A., Hamid, A.A., Ai, Z.F. and Dewana, A.A. 2019. Suitable site seection for rainwater harvesting and storage case tudy using Dohuk governorate. Water (Switzerland) 11(4), doi: h10.3390/w11040864.
Ketsela, G.M. 2009. Identification of potential rainwater harvesting areas in the Central Rift Valley of Ethiopia using a GISbased approach. Wageningen University, Netherlands, 13-87.
Maidment, D.R., Olivera, F., Calver, A., Eatherall, A., Fraczek, W. 1996. Unit Hydrograph Derived from A Spatially Distributed Velocity Field. In Tetzlaff, D. (ed), Hydrological Processes. John Wiley & Sons Ltd.,
Maina C.W. and Raude, J.M. 2019. Assessing land suitability for rainwater harvesting using geospatial techniques: a case study of Njoro Catchment, Kenya. Applied and Environmental Soil Science 2016(2):1-9, doi: 10.1155/2016/4676435.
Maina, C. W. and Raude, J.M. 2016. Assessing land suitability for rainwater harvesting using geospatial techniques: A case study of Njoro catchment, Kenya. Applied and Environmental Soil Science 2016, doi: 10.1155/2016/4676435.
Malczewski, J. 1999. GIS and Multicriteria Decision Analysis. John Wiley and Sons, New York.
Mamat, A., Halik, Ü. And Rouzi, A. 2018. Variations of ecosystem service value in response to land-use change in the Kashgar Region, Northwest China. Sustainability (Switzerland) 10(1), doi: 10.3390/su10010200.
Mekdaschi Studer, R., and Liniger, H. 2013. Water Harvesting: Guidelines for good practice. Bern: Centre for Development and Environment (CDE).
MoFED. 2006. Ethiopia: Building on progress a plan for accelerated and sustained development to end poverty (PASDEP). Addis Ababa.: Main Text. Ministry of Finance and Economic Development Volume I.
Moges, G., Hengsdijk, H. and Jansen, H.C. 2011. Review and quantitative assessment of ex situ household rainwater harvesting systems in Ethiopia. Agricultural Water Management 98(8): 1215–1227, doi: 10.1016/j.agwat.2011.03.009.
OXFAM, 2010. Climate Change Increasing Poverty and Vulnerability in Ethiopia. Oxfam International.
Prasad, H.C., Bhalla, P. and Palria, S. 2014. Site suitability analysis of water harvesting structures using remote sensing and GIS - A case study of Pisangan watershed, Ajmer district, Rajasthan. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 40(8): 1471–1482, doi: 10.5194/isprsarchives-XL-8-1471-2014.
Rajbanshi, J. 2016. Estimation of runoff depth and volume using NRCS-CN method in Konar Catchment (Jharkhand, India). Journal of Civil & Environmental Engineering 6: 236, doi: 10.4172/2165-784X.1000236.
Saaty, T.L. 1980. The Analytic Hierarchy Process: Planning, Priority Setting, Resources Allocation. McGraw-Hill, New York.
Saaty, T.L. 2000. Fundamentals of decision making with the analytic hierarchy process. In: Schmoldt, D.L., Kangas, J., Mendoza, G.A. and Pesonen, M. (eds), The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making. Springer, Dordrecht, 15–35, doi: 10.1007/978-94-015-9799-9_2.
Sameer, S., Judeh, T.G. and Mohammad N. Almasri, M.N. 2019. Developing GIS-based water poverty and rainwater harvesting suitability maps for domestic use in the Dead Sea region (West Bank, Palestine). Hydrology and Earth System Sciences Discussions, June 2018, doi: 10.5194/hess-2018-344.
Satheeshkumar, S., Venkateswaran, S. and R. Kannan, R. 2017. Rainfall–runoff estimation using SCS–CN and GIS approach in the Pappiredipatti watershed of the Vaniyar sub basin, South India. Modeling Earth System and Environment 3:24, doi: 10.1007/s40808-017-0301-4.
Senay, G.B., Bohms, S., Singh, R.K., Gowda, P.H., Vewipuri, N.M., Alemu, H. and Verdin, J.P. 2013. Operational evapotranspiration mapping using remote sensing and weather datasets: a new parameterization for the SSEB approach. Journal of the American Water Resources Association 49(3): 577-591, doi: 10.1111/jawr.12057.
Shadeed, S. 2011. Developing a GIS-based suitability map for rainwater harvesting in the West Bank, Palestine. The International Conference on Environmental Education for Sustainable Development. Plugging the Hole, Birzeit University, Palestine, 16–17 November 2011, 13.
Shadeed, S.M., Judeh, T.G. and Almasri, M.N. 2019. Developing GIS-based water poverty and rainwater harvesting suitability maps for domestic use in the Dead Sea region (West Bank, Palestine). Hydrology and Earth System Sciences 23(3): 1581–1592, doi: 10.5194/hess-23-1581-2019.
Sharma, B.R. and Smakhtin, V.U. 2006. Potential of water harvesting as a strategic tool for drought mitigation. International Water Management Institute, https://www.watercache.com/main/wp-content/uploads/potential_of_water_harvesting_as_a_strategic_tool_.pdf .
Singh, J.P., Singh, D. and Litoria, P.K. 2009. Selection of suitable sites for water harvesting structures in Soankhad watershed, Punjab using remote sensing and geographical information system (RS&GIS) approach- a case study. Journal of the Indian Society of Remote Sensing 37: 21-35.
Thakur, J., Mahesh, N. and Mohanan, A. 2017. Water poverty in upper Bagmati River Basin in Nepal. Water Science 2017: 93-108, doi: 10.1016/j.wsj.2016.12.001.
USDA. 1986. Urban Hydrology for Small Watersheds. Technical Release 55.
Van der Vyver, C. and Jordaan, D. 2011. Water poverty mapping and its role in assisting water management. Communications of the IBIMA 2011, 941217, doi: 10.5171/2011.941217.
Worm, J. and Hattum, V. 2016. Rainwater harvesting for domestic use, Agromisa Foundation and CTA. Wageningen, Open File Rep., 85.
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