Skip to main content

Advertisement

Log in

Spatial evaluation of impacts of increase in impervious surface area on SCS-CN and runoff in Nagpur urban watersheds, India

  • Original Paper
  • Published:
Arabian Journal of Geosciences Aims and scope Submit manuscript

Abstract

The changing land use due to rapid urbanization has profound impact on the runoff in urban watersheds. The spatial analysis in urban watersheds is felt necessary for management of surface and subsurface water regimes. Significant increase in impervious zones was observed in Nagpur urban watersheds between 2000 and 2012 having impacts on runoff, and even flash floods were observed. This study presents spatial and temporal impacts of change in urban built-up area on curve number (CN) and runoff during the years 2000 and 2012. The study also analyzes effect of slope on CN values and shows that CN increases with slope. High-resolution satellite images were used to map impervious surface areas (ISAs) which show an increase of 0.9 to 34 % during 2000–2012. Spearman’s and Pearson’s coefficients have been generated to establish relationship between runoff, impervious surface areas, vegetation index, slope, and runoff coefficient. It has been hypothetically assumed that if 100, 50, and 25 % rooftop rainwater harvesting is considered, the estimated runoff reduces in 2012 as compared to the year 2000. The study suggests that increase in impervious areas within urban watersheds can be utilized for groundwater augmentation adopting rooftop rainwater-harvesting techniques and to prevent flash floods.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  • Centre for Science and Environment, CSE (2005) Legislation on rainwater harvesting: implementation of the bye-laws in different states and cities, http://www.cseindia.org/node/1111

  • Chabaeva A, Civco LD, Hurd DJ (2009) Assessment of impervious surface estimation techniques. J Hydrol Eng 14:377–387

    Article  Google Scholar 

  • Ciavola SJ, Jantz CA, Reilly J, Moglen GE (2014) Forecast changes in runoff quality and quantity from urbanization in the Delmarva peninsula. J Hydrol Eng 19(1):1–9

    Article  Google Scholar 

  • Han WS, Burian JS (2009) Determining effective impervious area for urban hydrologic modeling. J Hydrol Eng 14:111–120

    Article  Google Scholar 

  • Huang M, Gallichand J, Wang Z, Goulet M (2006) A modification to the soil conservation service curve number method for steep slopes in the loess plateau of China. Journal of Hydrol Process 20(3):579–589

    Article  Google Scholar 

  • IMD, Indian Metrological Department Pune. http://www.imdpune.gov.in/

  • Jacobson RC (2011) Identification and quantification of the hydrological impacts of imperviousness in urban catchments: a review. J Environ Manag 92:1438–1448

    Article  Google Scholar 

  • Jain PK, Paranjpe SC, Parchure PK (2012) Development, augmentation and management of groundwater resources of Nagpur metropolitan city. Gondwana Geological Magazine 27(2):209–216

    Google Scholar 

  • Janice PDL, Aghaddir Ali (2016) Gulfnews Environment, http://gulfnews.com/news/uae/environment/fujairah-reels-under-flash-floods-1.1683735

  • Katpatal YB, Kute A, Satapathy DR (2008) Surface- and air-temperature studies in relation to land use/land cover of Nagpur urban area using Landsat 5 TM data. Journal of Urban Planning and Development 134(3):110–118

    Article  Google Scholar 

  • Katpatal YB, Rao RBVS (2011) Urban spatial decision support system for municipal solid waste management of Nagpur urban area using high resolution satellite data and geographic information system. J Urban Plan Dev 137(1):65–76

    Article  Google Scholar 

  • Matteo M, Randhir T, Bloniarz D (2006) Watershed-scale impacts of forest buffers on water quality and runoff in urbanizing environment. J Water Resour Plan Manag 132(3):144–152

    Article  Google Scholar 

  • Miller JD, Kim H, Kjeldsen TR, Packman J, Grebby S, Dearden R (2014) Assessing the impact of urbanization on storm runoff in a peri-urban catchment using historical change in impervious cover. J Hydrol 515:59–70

    Article  Google Scholar 

  • Mishra SK, Chaudhary A, Shrestha RK, Pandey A, Lal M (2014) Experimental verification of the effect of slope and land use on SCS runoff curve number. Water Resour Manag 28:3407–3416

    Article  Google Scholar 

  • Nagarajan N and Poongothai S (2012) Spatial mapping of runoff from a watershed using SCS-CN method with remote sensing and GIS. J Hydrol Eng :1268–1277

  • Sharpley AN, William JR, 1990. EPIC-erosion/productivity impact calculator: 1. model determination. US Department of Agriculture. Tech Bull, No. 1768

  • Soil Conservation Service (SCS) (1956) “Hydrology.” supplement a, section 4, chapter 10, national engineering handbook. USDA, Washington, DC

    Google Scholar 

  • Suiji W, Yunxia Y, Ming Y, Xiaokun Z (2012) Quantitative estimation of the impact of precipitation and human activities on runoff change of the Huangfuchuan river basin. J Geogr Sci 22(5):906–918

    Article  Google Scholar 

  • Suribabu CR, Bhaskar J (2015) Evaluation of urban growth effects on surface runoff using SCS-CN method and green-Ampt infiltration model. Journal of Earth Sci Inform 8:609–626

    Article  Google Scholar 

  • Suribabu C.R., T.R. Neelakantan (2013). Empirical formula for finding 15 minute maximum rainfall from n-hr rainfall and disaggregation model of n-hr rainfall, J Appl Hydrol XXVI(1–4)

  • Suribabu CR, Bhaskar J, Neelakantan TR (2012) Land use/cover change detection of Tiruchirapalli City, India, using integrated remote sensing and GIS tools. Journal of Indian Society of Remote Sensing 40(4):699–708

    Article  Google Scholar 

  • Tessema SM, Lyon SW, Setegn SG, Mortberg U (2014) Effects of different retention parameter estimation methods on the prediction of surface runoff using the SCS curve number method. Journal of Water Resource Management 28:3241–3254

    Article  Google Scholar 

  • Thanapura P, Helder DL, Burckhard S, Warmath E, Neill MO, Galster D (2007) Mapping urban land cover using QuickBird NDVI and GIS spatial modeling for runoff coefficient determination. Journal of Photogrammetric Engineering and Remote Sensing 73(1):057–065

    Article  Google Scholar 

  • Wenhui K (2012) Evaluating impervious surface growth and its impacts on water environment in Beijing-Tianjin-Tangshan metropolitan area. J Geogr Sci 22(3):535–547

    Article  Google Scholar 

  • Yan H, Edwards FG (2013) Effects of land use change on hydrologic response at a watershed scale, Arkansas. J Hydrol Eng 18:1779–1785

    Article  Google Scholar 

  • Yoo C, Kim K, Park M, Yoon J (2013) Quantification of flood runoff reduction effect of storage facilities by the decrease in CN. J Hydrol Eng 18(6):729–733

    Article  Google Scholar 

  • Zhang Y, Shuster W (2014) Impacts of spatial distribution of impervious areas on runoff response of hillslope catchments: simulation study. J Hydrol Eng 19:1089–1100

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tauseef Ahmad Ansari.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ansari, T.A., Katpatal, Y.B. & Vasudeo, A.D. Spatial evaluation of impacts of increase in impervious surface area on SCS-CN and runoff in Nagpur urban watersheds, India. Arab J Geosci 9, 702 (2016). https://doi.org/10.1007/s12517-016-2702-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12517-016-2702-5

Keywords

Navigation