| Peer-Reviewed

Dynamics of Land Cover and Impact on Stream flow in the Modder River Basin of South Africa: Case Study of a Quaternary Catchment

Received: 28 February 2015    Accepted: 9 March 2015    Published: 15 March 2015
Views:       Downloads:
Abstract

Understanding how dynamics in individual land use types influence changes in streamflow is vital. Most hydrological studies are based on paired catchment and modelling approaches. These are data intensive and require a long period of monitoring. To determine the hydrological effects of tropical vegetation conversion over large areas, it is manageable to study the same basin over different time periods. The study analysed changes in historical stream flow patterns with reference to dynamics in land cover in C52A quaternary catchment of South Africa. Landsat images for years 1993, 2004 and 2013 were used for the development of land cover maps. Subsequently, step-change (median point change, Mann-Whitney and Kruskall Willis) and trend detection tests (Spearman’s rho and Kindall’s tau) were applied to average annual discharge and rainfall data for the catchment between 1984 and 2013.Tukey’s honestly significant difference (HSD) test was also used to compare the means. Results revealed that huge land cover changes coincided with significant (p<0.05) changes in streamflow although rainfall remained homogenous over the same period. This suggests that land cover change is intricately coupled to increases in streamflow. In addition, increased runoff is usually accompanied by increased rates of erosion and siltation. To ensure sustainable management of the catchment, therefore, soil and water conservation measures are critical within the broader context of integrated water resources management.

Published in International Journal of Environmental Protection and Policy (Volume 3, Issue 2)
DOI 10.11648/j.ijepp.20150302.12
Page(s) 31-38
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

Keywords

Change Detection, Land Cover Classification, Landsat Image, Streamflow, Rainfall

References
[1] ICWE, The Dublin Statement and report of the conference. International Conference on Water and the Environment: Development issues for the 21st century. 26-31 January, Dublin, Ireland (1992).
[2] P.V. Caldwell, G. Sun, S.G, McNulty, E.C. Cohen, M. Myers, Impacts of impervious cover, water withdrawals, and climate change on river flows in the Conterminous US. Hydrological Earth System. Science Discussion 9 (2012) 4263 – 4304.
[3] M. Hernandez, SN.MillerC.D. Goodrich F.B.Goff, W.G. Kepner, C.M. Edmonds, J.K. Bruce, Modeling runoff response to land cover and rainfall spatial variability in semi-arid watersheds.Environmental Monitoringand Assessment64 (2000) 285 - 298.
[4] R.B. Jackson, S.R. Carpenter, C.N.Dahm, D.M. McKnight., R. J. Naiman, S.L. Postel, S.W. Running, Water in a changing world.Ecological applications11 (2001) 1027–1045.
[5] N.L. Poff, J.D. Olden, D.M. Merritt, D.M. Pepin, Homogenization of regional river dynamics by dams and global biodiversity implications, Proceedings of the National Academy of Sciences, USA, 104 (2007) 5732– 5737.
[6] S. Piao, P. Friedlingstein, P.Ciasis, N. de Noblet-Ducoudre, D. Labata, S.Zaehle, Changes in climate and land use have a larger direct impact than rising CO2 on global river 25 runoff trends, Proceedings of the National Academy of Sciences, USA 104 (2007), 15242–15247.
[7] D. Gerten, S. Rost, W. von Blo, W. Lucht, Causes of change in 20th century global river discharge, Geophysical Research Letters., 35(2008)L20405 doi:10.1029/2008GL035258.
[8] C.J. Vörösmarty, P. Green, J. Salisbury, R.B. Lammers, Global water resources: vulnerability from climate change and population growth. Science 289 (2000) 284 - 288.
[9] J. Alcamo, T. Henrichs, T. Ro¨sch., World water in 2025 - global modelling and scenario analysis for the World Commission on Water for the 21st Century. Kassel World Water Series 2, Center for Environmental Systems Research, University of Kassel, Germany (2000).
[10] D.M. Carlisle, D.M. Wolock, M.R. Meador, Alteration of streamflow magnitudes, and potential ecological consequences: a multiregional assessment, Frontiers in Ecology and Environment 9 (2011) 264–270, doi:10.1890/100053.
[11] D. Gerten, S.Schaphoff, W. Haberlandt, W.Luht, S. Sitch, Terrestrial vegetation and water balance—hydrological evaluation of a dynamic global vegetation model.Journal of Hydrology. 286(2004) 249–270
[12] R. DeFries, K.N.Eshleman, Land-use change and hydrologic processes: a major focus for the future, Hydrological Processes Journal 18(2004) 2183 – 2186.
[13] Department for Water Affairs and Forestry (DWAF),National Water Resource Strategy - First Edition: September 2004. Government of South Africa
[14] O.E. Sala, F.S. Chapin, J.J. Armesto, E. Berlow, J. Bloomfield, R. Dirzo, E. Huber-Sanwald, L.F.Huenneke, R.B. Jackson, A. Kinzig, R.Leemans, D.M. Lodge, H.A. Mooney, M. Oesterheld, N.L.Poff, M.T. Sykes, B.M. Walker, M.Walker, D.H. Wall, Biodiversity:global biodiversity scenarios for the year 2100. Science 287 (2000) 1770 - 1774.
[15] D.P. Turner, W.D. Ritts, W.B. Cohen, S.T. Gower, M. Zhao, S.W. Running, S.C. Wofsy, S.Urbanski, A.L. Dunn, J.W. Munger, Scaling gross primary production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation. Remote Sensing of Environment, 88 (2003) 25 -270.
[16] Y.E. Woyessa, E. Pretorius, P.S. van Heerden, M. Hensley, L.D. van Rensburg, Impact of land use on river basin water balance: a case study of the Modder river basin, South Africa, Colombo, Sri Lanka: Comprehensive Assessment Secretariat. Comprehensive Assessment Research Report 12 (2006).
[17] J.M. Bosch, J.D. Hewlett, A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. Journal of Hydrology 55(1/4)( 1982) 3–23.
[18] D.F. Scott, R.E. Smith, Preliminary empirical models to predict reductions in total and low flows resulting from afforestation. Water SA 23 (2) (1997) 135–140.
[19] W. K.B. Elkaduwa, R. Sakthivadivel, Use of historical data as a decision support tool in watershed management: A case study of the Upper Nilwala basin in SriLanka. Research Report 26. Colombo, Sri Lanka: International Water Management Institute (1998).
[20] J.K. Lørup, J.C.Refsgaard, D.Mazvimavi, Assessing the effect of land use change on catchment runoff by combined use of statistical tests and hydrological modelling: case studies from Zimbabwe. Journal of Hydrology 205 (1998) 147 - 163.
[21] W. Bewket, G. Sterk, Dynamics in land cover and its effect on stream flow in the Chemoga watershed, Blue Nile basin, Ethiopia, Journal of Hydrological Processes.19(2005) 445 - 458.
[22] Z.W. Kundzewicz, A. J. Robson, Change detection in hydrological records—a review of the methodology / Revue méthodologique de la détection de changements dans les chroniques hydrologiques.Hydrological Sciences Journal49(1)( (2004)) 7 - 19. doi:10.1623/hysj.49.1.7.53993
[23] M. Costa, A. Botta, A.J. Cardile, Effects of large scale changes in land cover on the discharge of the Tocantins river, Southeastern Amazon.Journal of Hydrology 283 (2003), 206 - 217.
[24] A.N. Pettitt, A non-parametric approach to the change point problem. Applied Statistics 28(1979) 126 - 135
[25] Y. Lin, X. Wei, The impact of large-scale forest harvesting on hydrology in the Willow watershed of Central British Columbia .Journal of Hydrol0gy 359(1-2) (2008) 141-149. doi:10.1016/j.jhydrol.2008.06.023
[26] ENVI EX User’s Guide, December, 2009 Edition, ITT Visual Information Solutions.
[27] A.E.Brown, L. Zhang, T.A. McMahon, A.W. Western, R.A.Vertessy,A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation. Journal of Hydrology 310(1-4) (2005) 28–61. doi:10.1016/j.jhydrol.2004.12.010
[28] A.R Hibbert, Forest Treatment effects on water yield, Reprint from Proceedings of International Symposium on Forest Hydrology, Pennyslavia State University 1965 (1967) 527 - 543.
[29] F. Gallart, P. Llorens, Catchment management under environmental change: impact of land cover change on water resources. Water International, 28 (3) (2003) 334 - 340.
[30] W. Xiaohu G. Sun, S. Liu, H. Jiang, G. Zhou, L. Dai, The Forest-Streamflow Relationship in China: A 40 year Retrospect. Journal of the American Water Resources Association 44 (5) (2008) 1076 - 1085.
[31] G. Zhou, X. Wei, X. Chen, P. Zhou, Liu, G. Sun, D.F. Scott, S. Zhou, L. Han, Y. Su, Global pattern for the effect of climate and land cover on water yield. Nature Communications 6 (2015) 5918.
Cite This Article
  • APA Style

    Onalenna Gwate, Yali E. Woyessa, David Wiberg. (2015). Dynamics of Land Cover and Impact on Stream flow in the Modder River Basin of South Africa: Case Study of a Quaternary Catchment. International Journal of Environmental Protection and Policy, 3(2), 31-38. https://doi.org/10.11648/j.ijepp.20150302.12

    Copy | Download

    ACS Style

    Onalenna Gwate; Yali E. Woyessa; David Wiberg. Dynamics of Land Cover and Impact on Stream flow in the Modder River Basin of South Africa: Case Study of a Quaternary Catchment. Int. J. Environ. Prot. Policy 2015, 3(2), 31-38. doi: 10.11648/j.ijepp.20150302.12

    Copy | Download

    AMA Style

    Onalenna Gwate, Yali E. Woyessa, David Wiberg. Dynamics of Land Cover and Impact on Stream flow in the Modder River Basin of South Africa: Case Study of a Quaternary Catchment. Int J Environ Prot Policy. 2015;3(2):31-38. doi: 10.11648/j.ijepp.20150302.12

    Copy | Download

  • @article{10.11648/j.ijepp.20150302.12,
      author = {Onalenna Gwate and Yali E. Woyessa and David Wiberg},
      title = {Dynamics of Land Cover and Impact on Stream flow in the Modder River Basin of South Africa: Case Study of a Quaternary Catchment},
      journal = {International Journal of Environmental Protection and Policy},
      volume = {3},
      number = {2},
      pages = {31-38},
      doi = {10.11648/j.ijepp.20150302.12},
      url = {https://doi.org/10.11648/j.ijepp.20150302.12},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijepp.20150302.12},
      abstract = {Understanding how dynamics in individual land use types influence changes in streamflow is vital. Most hydrological studies are based on paired catchment and modelling approaches. These are data intensive and require a long period of monitoring. To determine the hydrological effects of tropical vegetation conversion over large areas, it is manageable to study the same basin over different time periods. The study analysed changes in historical stream flow patterns with reference to dynamics in land cover in C52A quaternary catchment of South Africa. Landsat images for years 1993, 2004 and 2013 were used for the development of land cover maps. Subsequently, step-change (median point change, Mann-Whitney and Kruskall Willis) and trend detection tests (Spearman’s rho and Kindall’s tau) were applied to average annual discharge and rainfall data for the catchment between 1984 and 2013.Tukey’s honestly significant difference (HSD) test was also used to compare the means. Results revealed that huge land cover changes coincided with significant (p<0.05) changes in streamflow although rainfall remained homogenous over the same period. This suggests that land cover change is intricately coupled to increases in streamflow. In addition, increased runoff is usually accompanied by increased rates of erosion and siltation. To ensure sustainable management of the catchment, therefore, soil and water conservation measures are critical within the broader context of integrated water resources management.},
     year = {2015}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Dynamics of Land Cover and Impact on Stream flow in the Modder River Basin of South Africa: Case Study of a Quaternary Catchment
    AU  - Onalenna Gwate
    AU  - Yali E. Woyessa
    AU  - David Wiberg
    Y1  - 2015/03/15
    PY  - 2015
    N1  - https://doi.org/10.11648/j.ijepp.20150302.12
    DO  - 10.11648/j.ijepp.20150302.12
    T2  - International Journal of Environmental Protection and Policy
    JF  - International Journal of Environmental Protection and Policy
    JO  - International Journal of Environmental Protection and Policy
    SP  - 31
    EP  - 38
    PB  - Science Publishing Group
    SN  - 2330-7536
    UR  - https://doi.org/10.11648/j.ijepp.20150302.12
    AB  - Understanding how dynamics in individual land use types influence changes in streamflow is vital. Most hydrological studies are based on paired catchment and modelling approaches. These are data intensive and require a long period of monitoring. To determine the hydrological effects of tropical vegetation conversion over large areas, it is manageable to study the same basin over different time periods. The study analysed changes in historical stream flow patterns with reference to dynamics in land cover in C52A quaternary catchment of South Africa. Landsat images for years 1993, 2004 and 2013 were used for the development of land cover maps. Subsequently, step-change (median point change, Mann-Whitney and Kruskall Willis) and trend detection tests (Spearman’s rho and Kindall’s tau) were applied to average annual discharge and rainfall data for the catchment between 1984 and 2013.Tukey’s honestly significant difference (HSD) test was also used to compare the means. Results revealed that huge land cover changes coincided with significant (p<0.05) changes in streamflow although rainfall remained homogenous over the same period. This suggests that land cover change is intricately coupled to increases in streamflow. In addition, increased runoff is usually accompanied by increased rates of erosion and siltation. To ensure sustainable management of the catchment, therefore, soil and water conservation measures are critical within the broader context of integrated water resources management.
    VL  - 3
    IS  - 2
    ER  - 

    Copy | Download

Author Information
  • Department of Geography and Population Studies, Lupane State University, Zimbabwe

  • Department of Civil Engineering, Central University of Technology, South Africa

  • Water Programme, International Institute of Applied Systems Analysis, Laxenburg, Vienna, Austria

  • Sections