Abstract
The impact of human activities and rainfall variability on river discharge is of main concern for policymakers in the Komadugu-Yobe Basin (KYB), Lake Chad area. The KYB is of strategic importance because its rivers contribute significantly to the recharge of Lake Chad whose shrinkage has been of concern to policymakers and the international society. This study investigates the variations in river discharge of the KYB as a result of the contributory effects of rainfall variability and human influences, using daily rainfall and discharge data between 1971 and 2013. In order to partition the impacts of rainfall variability and human activities on river discharge, breakpoints related to abrupt environmental changes caused by human activities are identified using the generalized variance (GV), double mass curve (DMC) and the wavelet spectral methods. Breakpoints are found in 1974 and 1993, which correspond to times when major dams in the basin became operational. These breakpoints may also be related to LULC changes. The land-use land-cover (LULC) analysis shows an increase in bare surface, plantation, settlements and water bodies from 1975 to 2013, in association with a decrease in the forest and grassland coverage. Overall, the mean discharge between the pre-break and post-break periods increased by 24%. This increment in discharge was caused by approximately 50% rainfall variability and 50% human activities. Hence, the effects of human activities appear to be as important as the effect of natural rainfall variability on the river discharge changes in the KYB.
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References
Acquaotta F, Fratianni S (2014) The importance of the quality and reliability of the historical time series for the study of climate change. Revista Brasileira de Meteorologia 10:20–38
Adams WM (1993) Indigenous use of wetlands and sustainable development in West Africa. Geog J 159(2):209–218
Adeyeri OE, Lawin EA, Laux P, Ishola KA, Ige SO (2019a) Analysis of climate extreme indices over the Komadugu-Yobe basin, Lake Chad region: Past and future occurrences. Weather Clim Extremes 23:100194. https://doi.org/10.1016/j.wace.2019.100194
Adeyeri OE, Laux P, Lawin AE, Ige SO, Kunstmann H (2019b) Analysis of Hydrometeorological Variables over the transboundary Komadugu-Yobe Basin, West Africa. J Water Clim Change. https://doi.org/10.2166/wcc.2019.283
Adeyeri OE, Lamptey BL, Lawin AE, Sanda I (2017a) Spatio-temporal precipitation trend and homogeneity analysis in Komadugu-Yobe Basin, Lake Chad Region. J Climatol Weather Forecast 5:214. https://doi.org/10.4172/2332-2594.1000214
Adeyeri OE, Akinsanola AA, Ishola KA (2017b) Investigating surface urban heat island characteristics over Abuja, Nigeria: relationship between land surface temperature and multiple vegetation indices. Remote Sens Appl Soc Environ 7:57–68. https://doi.org/10.1016/j.rsase.2017.06.005
Awotwi A, Anornu GK, Quaye-Ballard J, Annor T, Forkuo EK (2017) Analysis of climate and human impacts on runoff in the Lower Pra River Basin of Ghana. Heliyon 3(12):e00477. https://doi.org/10.1016/j.heliyon.2017.e00477
Bao-Qi L, Wei-Hua X, Yi-Cheng W, Ming-Zhi Y, Ya H (2018) Impact of land use/cover change on the relationship between precipitation and runoff in typical area. J Water Clim Change 9(2):261–274
Buma WG, Lee SIL, Seo JY (2016) Hydrological evaluation of Lake Chad basin using space borne and hydrological model observations. Water (Switzerland). https://doi.org/10.3390/w8050205
Chien H, Yeh PJ, Knouft JH (2013) Modeling the potential impacts of climate change on streamflow in agricultural watersheds of the Midwestern United States. J Hydrol 491:73–88. https://doi.org/10.1016/j.jhydrol.2013.03.026
Cheng C, Cheng H (2008) Identifying the source of variance shifts in the multivariate process using neural networks and support vector machines. Expert Sys App 35:198–206. https://doi.org/10.1016/j.eswa.2007.06.002
Cheng Y, He H, Cheng HW (2016) The effects of climate and anthropogenic activity on hydrologic features in Yanhe River. Adv in Met 2016:1–11. https://doi.org/10.1155/2016/5297158
Cotillon SE (2017) West Africa land use and land cover time series. US Geo Survey Fact Sheet (No. 2017–3004, pp. 1–4). https://doi.org/10.3133/fs20173004
Destouni G, Jaramillo F, Prieto C (2013) Hydroclimatic shifts driven by human water use for food and energy production. Nat Clim Change 3:213–217. https://doi.org/10.1038/nclimate1719
Domonkos P, Coll J (2017) Homogenisation of temperature and precipitation time series with ACMANT3: method description and efficiency tests. Int J Climatol 37:1910–1921
Donders TH, Wagner F, Visscher H (2005) Quantification strategies for human-induced and natural hydrological changes in wetland vegetation, southern Florida, USA. Quater Res 64(3):333–342
Gao P, Mu XM, Wang F, Li R (2011) Changes in streamflow and sediment discharge and the response to human activities in the middle reaches of the Yellow River. Hydrol Earth Syst Sc 15(1):1–10
Guo Y, Li Z, Amo-Boateng M, Deng P, Huang P (2014) Quantitative assessment of the impact of climate variability and human activities on runoff changes for the upper reaches of Weihe River. Stoch Env Res Risk A 28(2):333–346
Gupta AS (2014) Generalized variance. In: Balakrishnan N, Colton T, Everitt B, Piegorsch W, Ruggeri F, Teugels JL (eds) Wiley StatsRef: Statistics Reference Online. https://doi.org/10.1002/9781118445112.stat01987
Hao FH, Chen LQ, Liu CM, Dai D (2004) Impact of land use change on runoff and sediment yield. J Soil Water Conser 18(3):5–8
Hundecha Y, Bárdossy A (2004) Modeling the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model. J Hydrol 292:281–295
IUCN (2011) Komadugu Yobe Basin, upstream of Lake Chad, Nigeria. Multi-stakeholder participation to create new institutions and legal frameworks to manage water resources. https://portals.iucn.org/library/efiles/documents/2011-097.pdf. Accessed 18 Aug 2018
Jia YW, Zhao HL, Niu CW, Jiang YZ, Gan H, Xing Z, Zhao XL, Zhao ZX (2009) A WebGIS-based system for rainfall-runoff prediction and real-time water resources assessment for Beijing. Comput Geosci 35(7):1517–1528
Legesse D, Vallet-Coulomb C, Gasse F (2003) Hydrological response of a catchment to climate and land use changes in Tropical Africa: case study South Central Ethiopia. J Hydrol 275(1):67–85
Li J, Shi W (2015) Effects of alpine swamp wetland change on rainfall season runoff and flood characteristics in the headwater area of the Yangtze River. CATENA 127:116–123
Li KY, Coe MT, Ramankutty N, De Jong R (2007) Modelling the hydrological impact of landuse change in West Africa. J Hydrol 337:258–268
Li WH, He YT, Yang LT (2001) A summary and perspective of forest vegetation impacts on water yield. Nat Resour 16(5):398–406
Mohamad I, Markus M (2009) Impacts of urbanization and climate variability on floods in northeastern Illinois. J Hydrol Eng 14(6):606–616
Muhammad JC, Yahaya DK, Abba JG (2015) Water management Issues in the Hadejia Jama’are-Komadugu-Yobe Basin: DFID-JWL and Stakeholders Experience in Information Sharing, Reaching Consensus and Physical Interventions. 16:369–381. https://core.ac.uk/download/pdf/6764774.pdf
Murtaugh PA (2014) defense of p-values. Ecology 95(3):611–617
Nicholson SE (2001) Climatic and environmental change in Africa during the last two centuries. Climate Res 17:123–144
Oyebande L (2001) Stream flow regime change and ecological response in the Lake Chad Basin in Nigeria. In: Acreman, M (ed.) Hydro-ecology: Linking hydrology to Aquatic Ecology. Int assoc hydrol science 226:101
Parsons WT, Cuthbertson EG (1992) Noxious Weeds of Australia. Inkata Press, Melbourne, p 692
Qiu L, Peng D, Xu Z, Liu W (2016) Identification of the impacts of climate changes and human activities on runoff in the upper and middle reaches of the Heihe River basin, China. J Water Clim Change 7(1):251–262
Searcy JK, Hardison CH (1960) Double-mass curves. U.S. Geological Survey Water Supply Paper 1541-BManuel of Hydrology: Part 1. General Surface-Water Techniques, pp. 41. Accessed 14 Dec 2016 https://pubs.usgs.gov/wsp/1541b/report.pdf.
Shepard D (1968) A two-dimensional interpolation function for irregularly-spaced data. In: Blue RB, Rosenberg AM (eds.), the 1968 23rd ACM national conference, pp. 517–524
Spracklen DV, Arnold SR, Taylor CM (2012) Observations of increased tropical rainfall preceded by air passage over forests. Nature 489(7415):282–285
Tafida AA, Galtima M (2016) An assessment of rural household vulnerability in the Hadejia Nguru Wetlands region, Northeastern Nigeria. J Glob Initiat 10:109–124
Tang J, Yin XA, Yang P, Yang Z (2014) Assessment of contributions of climatic variation and human activities to streamflow changes in the Lancang River. China Water Resour Manag 28(10):2953–2966
Tuteja NK, Vaze J, Teng J, Mutendeudzi M (2007) Partitioning the effects of pine plantations and climate variability on runoff from a large catchment in southeastern Australia. Water Resour Res 43:199–212. https://doi.org/10.1029/2006WR005016
Umar AS, Ankidawa BA (2016) Climate variability and basin management: a threat to and from wetlands of Komadugu Yobe Basin, North Eastern Nigeria. Asian J Eng Tech 4(2):25–36
USGS (2012) Famine early warning systems network-informing climate change adaptation series. A climate trend analysis of Niger. Fact Sheet pp: 2012–3080
Veleda D, Montagne R, Araujo M (2012) Cross-wavelet bias corrected by normalizing scales. Atmos Ocean Techn 29:1401–1408
Wang D, Hejazi M (2011) Quantifying the relative contribution of the climate and direct human impacts on mean annual streamflow in the contiguous United States. Water Resour Res 47(10):1–16
Xu Y, Wang S, Bai X, Shu D, Tian Y (2018) Runoff response to climate change and human activities in a typical karst watershed SW China. PLoS ONE 13(3):e0193073. https://doi.org/10.1371/journal.pone.0193073
Zhang X, Yang F (2004) RClimDex (1.0) User manual, climate research branch environment, Ontario, Canada. https://etccdi.pacificclimate.org/software.shtml, Accessed 13 Mar 2017
Zhang A, Zhang C, Fu G et al (2012) Assessments of impacts of climate change and human activities on runoff with SWAT for the Huifa River Basin. Northeast China Water Resour Manag 26(8):2199–2217
Acknowledgement
The first author was supported by the doctoral scholarship from the Federal Ministry of Education and Research (BMBF) and West African Science Service Center on Climate Change and Adapted Land Use (WASCAL). The authors wish to acknowledge the Direction de la Meteorologie Nationale (DMN) of Niger Republic, the Nigeria Meteorological Agency (NiMet) for providing data used in this study. Oyekan Kayode is also acknowledged for providing the software used for the analysis. The anonymous reviewers are duly acknowledged.
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Adeyeri, O.E., Laux, P., Lawin, A.E. et al. Assessing the impact of human activities and rainfall variability on the river discharge of Komadugu-Yobe Basin, Lake Chad Area. Environ Earth Sci 79, 143 (2020). https://doi.org/10.1007/s12665-020-8875-y
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DOI: https://doi.org/10.1007/s12665-020-8875-y