Advertisement

Impact of Urbanization on Surface Runoff Characteristics at Catchment Scale

  • Manish Kumar SinhaEmail author
  • Triambak Baghel
  • Klaus Baier
  • Mukesh Kumar Verma
  • Ramakar Jha
  • Rafig Azzam
Conference paper

Abstract

Increase in population and rapid urbanization are two main challenges to urban water management, especially for cities in developing countries like India. The assessment of changes in catchment surface runoff due to urbanization is critical for water resource planning and management. Uncertainty in rainfall and changing landuse pattern results from urbanization is difficult to correlate with present changing surface runoff conditions. This study has shown an approach to find a relation between these three by using a statistical term dynamic degree with application of the well-established tool, Curve Number (SCS-CN) method to observe surface runoff over the study area in conjunction with Geographic information system and remote sensing. This study assesses changes in runoff characteristics of Raipur catchment which has been delineated from a smallest sub-basin of Mahanadi River in Chhattisgarh, India. Pixel-based Runoff depth of each sub-catchment was estimated by incorporating digital elevation model, rainfall data, and Land Use/Land Cover (LULC) information for the years 1971–2015. Spatio-temporal variation in each sub-catchment has been computed and significant change in runoff has been observed. The motivation of this study aims to understand and to study the changing nature of urban growth pattern/sprawl, to quantify surface imperviousness and changes in surface runoff characteristics.

Keywords

Landuse land cover HEC-HMS SCS-CN Surface runoff Urbanization 

Notes

Acknowledgements

The authors would like to thank the Deutscher Akademischer Austauschdienst-German Academic Exchange Service (DAAD), as this study was carried out within the program “A New Passage to India”.

References

  1. 1.
    UNICEF: Water in India: situation and prospects, in UNICEF, India Country Office (2013)Google Scholar
  2. 2.
    Un, D.: World Urbanization Prospects: The 2014 Revision. United Nations Department of Economics and Social Affairs, Population Division, New York, NY, USA (2015)Google Scholar
  3. 3.
    Un-Habitat: Planning Sustainable Cities: Global Report on Human Settlements 2009. Routledge (2016)Google Scholar
  4. 4.
    Angel, S., et al.: The Dynamics of Global Urban Expansion, Transport and Urban Development Department. World Bank, Washington, DC (2005)Google Scholar
  5. 5.
    Montgomery, M.R.: The urban transformation of the developing world. Science 319(5864), 761–764 (2008)CrossRefGoogle Scholar
  6. 6.
    Strohschön, R., et al.: Land use and water quality in Guangzhou, China: a survey of ecological and social vulnerability in four urban units of the rapidly developing megacity. Int. J. Environ. Res. 7(2), 343–358 (2013)Google Scholar
  7. 7.
    Wakode, H.B., et al.: Analysis of urban growth using Landsat TM/ETM data and GIS—a case study of Hyderabad, India. Arab. J. Geosci. 7(1), 109–121 (2013)CrossRefGoogle Scholar
  8. 8.
    Sinha, M.K., et al.: Assessment of groundwater vulnerability using modified DRASTIC model in Kharun Basin, Chhattisgarh, India. Arab. J. Geosci. 9(2), 1–22 (2016)CrossRefGoogle Scholar
  9. 9.
    GIZ, ASEM, and RMC: Annexures City Sanitation Plan for Raipur (2011)Google Scholar
  10. 10.
    RMC: Detailed Project Report, Sewerage, Storm, Surface water drains and lake protection works for Raipur city. Meinhardt (Singapore) Pte. Ltd (2010)Google Scholar
  11. 11.
    RMC: Raipur City: Storm Water Drainage Report (2011)Google Scholar
  12. 12.
    Census-of-India: Census of India 2011, District census handbook: Raipur, pp. 1–452 (2011)Google Scholar
  13. 13.
    Nigam, G.K., et al., Field assessment of surface runoff, sediment yield and soil erosion in opencast mines in Chirimiri area, Chhattisgarh, India. Phys. Chem. Earth, Parts A/B/C (2017)Google Scholar
  14. 14.
    Jena, S.K., et al.: RS and geographical information system based evaluation of distributed and composite curve number techniques. J. Hydrol. Eng. 17(11), 1278–1286 (2012)CrossRefGoogle Scholar
  15. 15.
    Feldman, A.D.: Hydrologic modeling system HEC-HMS: Technical reference manual. US Army Corps of Engineers, Hydrologic Engineering Center (2000)Google Scholar
  16. 16.
    Verma, M.K., et al.: Computation of air quality index for major cities of Chhattisgarh state. Environ. Claims J. 28(3), 195–205 (2016)CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Manish Kumar Sinha
    • 1
    Email author
  • Triambak Baghel
    • 2
  • Klaus Baier
    • 1
  • Mukesh Kumar Verma
    • 2
  • Ramakar Jha
    • 3
  • Rafig Azzam
    • 1
  1. 1.Department of Engineering Geology and HydrogeologyRWTH Aachen UniversityAachenGermany
  2. 2.Department of Civil EngineeringNational Institute of Technology RaipurRaipurIndia
  3. 3.Department of Civil EngineeringNational Institute of Technology PatnaPatnaIndia

Personalised recommendations