Urbanization has evolved as one of the key factors responsible for the environmental health not only for the urban centres, but also for the suburban regions. In the recent years, most of the suburban regions in India are experiencing flash floods during the high intensity low duration rainfall condition. Such situations of flash floods in the urban and suburban areas are referred to as storm runoff. This paper deals with the computation of storm runoff in the suburban catchments of the Pune City. Five catchments, known for flash floods in the recent years, are identified for the present work. Storm runoff estimations in these catchments have been done using LandsatTM data of 1989 and 2011. Population-calibrated impervious surfaces (IS) were extracted for these catchments, and runoff has been calculated using the Soil Conservation Service-Curve Number method. Major changes in the land use land cover pattern in these 22 years have been detected, with a net growth in built-up area of almost 10 times from 1989 to 2011, leading to the increase in IS in the catchment. The impact of increase in built-up area and IS has augmented storm runoff in the catchment. Estimated runoff values increased from 461.8 m3 to 1068.52 m3 (Baner), 2026.4 m3 to 3638.73 m3 (Kharadi), 2947.5 m3 to 4736.46 m3 (Kondhwa Ghorpadi ), 1021.1 m3 to 2039.57 m3 (Wadgaon Sheri) and 1176.89 m3 to 3691.18 m3 (Wadgaon Budruk) from 1989 to 2011. Thus, it is quite evident that the growth in built-up area and impervious surfaces has enhanced the capacity of suburban basins to generate more runoff.
This is a preview of subscription content, log in to check access.
Buy single article
Instant access to the full article PDF.
Price includes VAT for USA
Subscribe to journal
Immediate online access to all issues from 2019. Subscription will auto renew annually.
This is the net price. Taxes to be calculated in checkout.
Bird, S., Harrison, J., Exum, L., Alberty S., & Perkins, C. (2002). Screening to identify and prevent urban storm water problems: Estimating impervious area accurately and inexpensively. In National monitoring conference of the national water quality monitoring council, May 20–23, Madison, WI.
Crist, E. P., Laurin, R., & Cicone, R. C. (1986). Vegetation and soils information contained in transformed thematic mapper data. Paper presented at international geosciences and remote sensing symposium (IGARSS)’ 86 symposium, ESA Publications Division, ESA SP-254
Dhorde, A. A., Dhorde, A., & Joshi, G. (2012). Population calibrated land cover impervious surface coefficients for Upper Bhima basin. International Journal of Geomatics and Geosciences,2(4), 1027–1047.
Dougherty, M., Dymond, R. L., Grizzard, T. J., Godrej, A. N., Zipper, C. E., & Randolph, J. (2007). Quantifying long-term hydrologic response in an urbanizing basin. Journal of Hydrologic Engineering,12, 33–41.
Ferreira, C., Moruzzi, R., Vargas, M., Tudor, M., Abrantes, J., Isidoro, J., Ferreira, A. & Pedroso de Lima, J. (2018). Impact of distinct spatial patterns of impervious surfaces on runoff and sediment fluxes: laboratory evaluation. In Geophysical research abstracts, EGU General Assembly 2018, EGU2018-1069.
Frye, C. (2007). Setting the Z Factor parameter correctly in ArcGIS resources. Online publication. Retrieved September 11, 2013 from http://blogs.esri.com/esri/arcgis/2007/06/12/.
Guzha, A. C., Rufuno, M. C., Okoth, S., & Jacobs, S. (2018). Impacts of land use and land cover change on surface runoff, discharge and low flows: Evidence from East Africa. Journal of Hydrology: Regional Studies,15, 49–67.
Khare, D., Patra, D., Mondol, A., & Kundu, S. (2015). Impact of landuse/land cover change on run-off in a catchment of Narmada river in India. Applied Geomatics,7, 23–35.
Kumar, K., & Dhorde, A. A. (2013). Estimation of runoff from impervious surface using multitemporal remote sensing data: A case study of Ramnadi Catchment, Maharashtra, India. Journal of Indian Geomorphology,2, 56–69.
Lee, J. G., & Heaney, J. P. (2003). Estimation of urban imperviousness and its impacts on storm water systems. Journal of Water Resources Planning and Management,129, 419–426.
Lei, C., & Zhu, L. (2018). Spatio-temporal variability of land use/land cover change (LULCC) within the Huron River: Effects on stream flows. Climate Risk Management,19, 35–47.
Mishra, S. K., & Singh, V. P. (1999). Another look at SCS-CN method. Journal of Hydrological Engineering,4(3), 257–264.
Mishra, S. K., & Singh, V. P. (2006). A relook at NEH-4 curve number data and antecedent moisture condition criteria. Hydrological Processes,20(13), 2755–2768.
Rawls, W. J., Shalaby, A., & McCuen, R. H. (1981). Evaluation of methods for determining urban runoff curve numbers. Transactions of the American Society of Agricultural Engineers,24(6), 1562–1566.
Schueler, T. R. (1994). The importance of imperviousness. Watershed Protection Techniques,1(3), 100–111.
SCS. (1972). Hydrology, National Engineering Handbook, Section 4, Chapter 10. Washington D.C.: Soil Conservation Service, USDA.
USDA. (1956, 1964, 1971, 1985, 1993). SCS national engineering handbook, section 4: Hydrology, soil conservation service. Washington DC, USA: USDA.
USDA. (1986). Urban hydrology for small Watersheds, TR-55 (2nd ed.). United States Department of Agriculture, TR-55.
Venkatesh, K., & Ramesh, H. (2018). Impact of land use land cover change on runoff generation in Tungabhadra River Basin. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences,4, 367–374.
Ward, D., Phinn, S. R., & Murray, A. T. (2000). Monitoring growth in rapidly urbanizing areas using remotely sensed data. Professional Geographer,52, 371–386.
Weng, Q. (2001). Modelling urban growth effect on surface runoff with the integration of remote sensing and GIS. Environmental Management,28, 737–748.
Yang, X. (2006). Estimating landscape impervious index from satellite imagery. IEEE Geoscience and Remote Sensing Letters,3, 6–9.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Kumar, K., Dhorde, A. Impact of Land use Land cover change on Storm Runoff Generation: A case study of suburban catchments of Pune, Maharashtra, India. Environ Dev Sustain (2020). https://doi.org/10.1007/s10668-020-00787-x
- Land use land cover
- Suburban catchment
- Impervious surface
- Storm runoff
- SCS-CN method