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Identification of potential sites for surface runoff harvesting in the semi-arid area for developing cities. A case study of Dodoma urban, Tanzania

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Abstract

The rapid growth of socioeconomic activities brings the overpressure to the water sources in the semi-arid areas. This paper identifies potential sites for surface runoff harvesting from seasonal rainfall. The potential sites were determined using the analytic hierarchy process (AHP) and weighted linear combination (WLC) techniques with four parameters including runoff depth, drainage density, slope, and lineament density under the GIS environment. The runoff depth was estimated using the Soil Conservation Service method with the three factors such as land use, rainfall, and soil parameters. The normalized weights obtained from the AHP technique were multiplied with the individual weights for each parameter using the WLC technique to acquire the weighted classes (WCs) for defining suitable for surface runoff harvesting. The covered area of about 5.5% for a very high suitable site was obtained followed by 76.4% of the highly suitable site with the WC ranged from 433 to 500% and 372 to 433%, respectively. The covered area of about 18.1% for the medium to a very low suitable site for harvesting surface runoff with the WC between 271 and 372%. The developed potential site map would provide access for harvesting the surface runoff to improve the water shortage during long dry periods, minimize flooding, or reduce the land use across the drainage network in the semi-arid areas.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Adham, A., Sayl, K. N., Abed, R., Abdeladhim, M. A., Wesseling, J. G., Riksen, M., ... & 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

  • Al-Abadi AM, Shahid S, Ghalib HB, Handhal AM (2017) A GIS-based integrated fuzzy logic and analytic hierarchy process model for assessing water-harvesting zones in Northeastern Maysan Governorate, Iraq. Arab J Sci Eng 42(6):2487–2249

    Article  Google Scholar 

  • Al-Adamat R, Diabat A, Shatnawi G (2010) Combining GIS with multicriteria decision making for siting water harvesting ponds in Northern Jordan. J Arid Environ 74(11):1471–1477

    Article  Google Scholar 

  • Al-Ghobari H, Dewidar A, Alataway A (2020) Estimation of surface water runoff for a semi-arid area using RS and GIS-based SCS-CN method. Water 12(7):1924

    Article  Google Scholar 

  • Al-shabeeb AR (2016) The use of AHP within GIS in selecting potential sites for water harvesting sites in the Azraq Basin—Jordan. J Geogr Inf Syst 8(1):73–88

    Google Scholar 

  • Ammar A, Riksen M, Ouessar M, Ritsema C (2016) Identification of suitable sites for rainwater harvesting structures in arid and semi-arid regions: a review. International Soil and Water Conservation Research 4(2):108–120

    Article  Google Scholar 

  • Amutha R, Porchelvan P (2009) Estimation of surface runoff in Malattar sub-watershed using SCS-CN method. Journal of the Indian Society of Remote Sensing 37(2):291

    Article  Google Scholar 

  • Boughton WC (1989) A review of the USDA SCS curve number method. Soil Research 27(3):511–523

    Article  Google Scholar 

  • Camarasa-Belmonte AM, Soriano J (2014) Empirical study of extreme rainfall intensity in a semi-arid environment at different time scales. J Arid Environ 100:63–71

    Article  Google Scholar 

  • Dai, X. (2016). Dam site selection using an integrated method of AHP and GIS for decision making support in Bortala, Northwest China (Master's thesis, University of Twente).

  • De Winnaar G, Jewitt GPW, Horan M (2007) A GIS-based approach for identifying potential runoff harvesting sites in the Thukela River basin, South Africa. Physics and Chemistry of the Earth, Parts a/b/c 32(15–18):1058–1067

    Article  Google Scholar 

  • Du S, Van Rompaey A, Shi P (2015) A dual effect of urban expansion on flood risk in the Pearl River Delta (China) revealed by land-use scenarios and direct runoff simulation. Nat Hazards 77(1):111–128

    Article  Google Scholar 

  • DUWASA, Dodoma Urban Water Supply and Sanitation Authority. (2019). Supply of clean water. Available from: https://www.duwasa.go.tz/pages/supply-of-clean-water [accessed on 24 February 2021].

  • Elewa HH, Qaddah AA, Ayman AE (2012) Determining potential sites for runoff water harvesting using remote sensing and geographic information systems-based modeling in Sinai. Am J Environ Sci 2012(8):42–55

    Google Scholar 

  • Ekwueme BN, Agunwamba JC (2020) Modeling the influence of meteorological variables on runoff in a tropical watershed. Civil Engineering Journal 6(12):2344–2351

    Article  Google Scholar 

  • FAO (Food Agriculture Organization of the United Nations) (2003). Digital soil map of the world and derived soil properties. Land and Water Development Division.

  • Farran MM, Elfeki AM (2020) Evaluation and validity of the antecedent moisture condition (AMC) of Natural Resources Conservation Service-Curve Number (NRCS-CN) procedure in undeveloped arid basins. Arab J Geosci 13(6):1–17

    Article  Google Scholar 

  • Gajbhiye S (2015) Estimation of surface-runoff using remote sensing and geographical information system. International Journal of u-and e-Service, Science and Technology 8(4):113–122

    Article  Google Scholar 

  • Garg V, Nikam BR, Thakur PK, Aggarwal SP (2013) Assessment of the effect of slope on runoff potential of a watershed using NRCS-CN method. International Journal of Hydrology Science and Technology 3(2):141–159

    Article  Google Scholar 

  • Guiamel IA, Lee HS (2020) Watershed modelling of the Mindanao River Basin in the Philippines using the SWAT for water resource management. Civil Engineering Journal 6(4):626–648

    Article  Google Scholar 

  • Haile G, Suryabhagavan KV (2019) GIS-based approach for identification of potential rainwater harvesting sites in Arsi Zone, Central Ethiopia. Modeling Earth Systems and Environment 5(1):353–367

    Article  Google Scholar 

  • Hamisi, J. (2013). Study of rainfall trends and variability over Tanzania (Doctoral dissertation).

  • Hatibu, N., & Mahoo, H. (1999). Rainwater harvesting technologies for agricultural production: a case for Dodoma, Tanzania. Conservation tillage with animal traction, 161.

  • Isioye, O. A. (2012). A multi criteria decision support system (MDSS) for identifing rainwater harvesting site (S) in Zaria, Kaduna state, Nigeria. International Journal of Advanced Scientific Engineering and Technological Research, 1(1).

  • Jha MK, Chowdary VM, Kulkarni Y, Mal BC (2014) Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis. Resour Conserv Recycl 83:96–111

    Article  Google Scholar 

  • Kadam AK, Kale SS, Pande NN, Pawar NJ, Sankhua RN (2012) Identifying potential rainwater harvesting sites of a semi-arid, basaltic region of Western India, using SCS-CN method. Water Resour Manage 26(9):2537–2554

    Article  Google Scholar 

  • Kassile T (2013) Trend analysis of monthly rainfall data in central zone. J Math Stat 9(1):1

    Article  Google Scholar 

  • Li J, Liu C, Wang Z, Liang K (2015) Two universal runoff yield models: SCS vs. LCM Journal of Geographical Sciences 25(3):311–318

    Article  Google Scholar 

  • Ligtenberg, J. (2017). Runoff changes due to urbanization: a review.

  • Maina, C. W., & 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.

  • Mardani A, Jusoh A, Nor K, Khalifah Z, Zakwan N, Valipour A (2015) Multiple criteria decision-making techniques and their applications–a review of the literature from 2000 to 2014. Economic Research-Ekonomska Istraživanja 28(1):516–571

    Article  Google Scholar 

  • Matomela N, Li T, Ikhumhen HO (2020) Siting of rainwater harvesting potential sites in arid or semi-arid watersheds using GIS-based techniques. Environmental Processes 7(2):631–652

    Article  Google Scholar 

  • Mugo GM, Odera PA (2019) Site selection for rainwater harvesting structures in Kiambu County-Kenya. The Egyptian Journal of Remote Sensing and Space Science 22(2):155–164

    Article  Google Scholar 

  • Neilsen, R. D., & Hjelmfelt, A. T. (1998). Hydrologic soil group assignment. Proceedings of Water Resources Engineering, 1297–1302.

  • Nthuni SM, Lübker T, Schaab G (2014) Modelling the potential of rainwater harvesting in western Kenya using remote sensing and GIS techniques. South African Journal of Geomatics 3(3):285–301

    Article  Google Scholar 

  • Patil JP, Sarangi A, Singh AK, Ahmad T (2008) Evaluation of modified CN methods for watershed runoff estimation using a GIS-based interface. Biosys Eng 100(1):137–146

    Article  Google Scholar 

  • Rawat KS, Singh SK (2017) Estimation of surface-runoff from semi-arid ungauged agricultural watershed using SCS-CN method and earth observation data sets. Water Conservation Science and Engineering 1(4):233–247

    Article  Google Scholar 

  • Saaty TL (2004) Decision making—the analytic hierarchy and network processes (AHP/ANP). J Syst Sci Syst Eng 13(1):1–35

    Article  Google Scholar 

  • Satheeshkumar S, Venkateswaran S, 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 Systems and Environment 3(1):24

    Article  Google Scholar 

  • Sayl, K. N., Muhammad, N. S., & El-Shafie, A. (2019, June). Identification of potential sites for runoff water harvesting. In Proceedings of the Institution of Civil Engineers-Water Management (Vol. 172, No. 3, pp. 135–148). Thomas Telford Ltd.

  • Sayl K, Adham A, Ritsema C (2020) A GIS-based multicriteria analysis in modeling optimum sites for rainwater harvesting. Hydrol Earth Syst Sci 7(3):51

    Google Scholar 

  • Shemsanga C, Muzuka ANN, Martz L, Komakech H, Mcharo E (2018) Indigenous knowledge on development and management of shallow dug wells of Dodoma Municipality in Tanzania. Appl Water Sci 8(2):1–20

    Article  Google Scholar 

  • Shemsanga, C., Muzuka, A. N. N., Martz, L. W., Komakech, H. C., & Omambia, A. N. (2016). Statistics in climate variability, dry spells, and implications for local livelihoods in semiarid regions of Tanzania: the way forward.

  • SHLC (Centre for Sustainable Health and Learning Cities and Neighbourhoods) (Dodoma) (2020) Building a sustainable city to meet neighbourhood needs. [Available from: http://www.centreforsustainablecities.ac.uk/research/dodoma-building-a-sustainable-city-to-meet-neighbourhood-needs/ [ accessed on 6 February 2021].

  • Singhai A, Das S, Kadam AK, Shukla J, Bundela D, Kalashetty M (2019) GIS-based multi-criteria approach for identification of rainwater harvesting zones in upper Betwa sub-basin of Madhya Pradesh, India. Environment, Development Sustainability 21(2):777–797

    Article  Google Scholar 

  • Terêncio DPS, Fernandes LS, Cortes RMV, Pacheco FAL (2017) Improved framework model to allocate optimal rainwater harvesting sites in small watersheds for agro-forestry uses. J Hydrol 550:318–330

    Article  Google Scholar 

  • URT, The United Republic of Tanzania. (2013). 2012 Population and Housing Census. Population Distribution by Administrative Areas. Dar es Salaam, Tanzania: National Bureau of Statistics

  • URT, The United Republic of Tanzania. (2019). Ministry of Lands, Housing and Human Settlements Development. Dodoma National Capital City Master Plan (2019–2039). Dar es Salaam, Tanzania.

  • USGS (United States Geological Survey) (2006). The HYDRO1k data for Africa. Earth Resources Observation and Science (EROS): Available from:[http://edc.usgs.gov/ products/elevation/gtopo30/hydro/africa.html; 2006 [accessed on December 2012].

  • USGS (United States Geological Survey). Science for a changing world [Available from: https://earthexplorer.usgs.gov [accessed on 23 December 2020].

  • Uwizeyimana D, Mureithi SM, Mvuyekure SM, Karuku G, Kironchi G (2019) Modelling surface-runoff using the soil conservation service-curve number method in a drought prone agro-ecological zone in Rwanda. International Soil and Water Conservation Research 7(1):9–17

    Article  Google Scholar 

  • Vikneswaran, M., & Razak, M. A. Study on surface-runoff harvesting for sustainable UPNM campus. Int J Appl Eng Res 10 (95) 2015.

  • WB (World-Bank) (2017). Dodoma (Tanzania) - Land Use/Land Cover Maps (ESA EO4SD-Urban) [updated 2018. Available from: https://datacatalog.worldbank.org/dataset/dodoma-tanzania-land-useland-cover-maps-esa-eo4sd-urban. [ accessed on 14 November 2020].

  • WB (The World Bank) (2019). Tanzania Water Security for Growth (P168238). Available from: http://documents1.worldbank.org/curated/en/914081568201887071/pdf/Concept-Project-Information-Document-PID-Tanzania-Water-Security-for-Growth-P168238.pdf [accessed on 23 March 2021]

  • Weerasinghe H, Schneider UA, Loew A (2011) Water harvest-and storage-location assessment model using GIS and remote sensing. Hydrology and Earth System Sciences Discussions 8(2):3353–3381

    Google Scholar 

  • Wu RS, Molina GLL, Hussain F (2018) Optimal sites identification for rainwater harvesting in northeastern Guatemala by analytical hierarchy process. Water Resour Manage 32(12):4139–4153

    Article  Google Scholar 

  • Zaki SR, Redwan M, Masoud AM, Moneim AAA (2019) Chemical characteristics and assessment of groundwater quality in Halayieb area, southeastern part of the Eastern Desert. Egypt Geosciences Journal 23(1):149–164

    Article  Google Scholar 

  • Zhang, H., Sekhari, A., Ouzrout, Y., & Bouras, A. (2014). Optimal inconsistency repairing of pairwise comparison matrices using integrated linear programming and eigenvector methods. Mathematical Problems in Engineering, 2014.

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Funding

The authors acknowledge the financial support from the University of Dodoma through junior academic staff members capacity-building portal year 2020.

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The authors contributed to the study conception and design. Material preparation and data collection were conducted by Malugu M. Tembo. The data analysis and first draft of the manuscript were performed by Ombeni J. Mdee and Malugu M. Tembo. Number of comments was addressed to improve the quality of manuscript by authors and reviewers.

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Correspondence to Ombeni J. Mdee.

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The authors declare that they have no competing interests.

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Responsible Editor: Broder J. Merkel

Communicated by Broder J. Merkel

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Mdee, O.J., Tembo, M.M. Identification of potential sites for surface runoff harvesting in the semi-arid area for developing cities. A case study of Dodoma urban, Tanzania. Arab J Geosci 14, 2170 (2021). https://doi.org/10.1007/s12517-021-08549-3

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