Abstract
Evaluation of land cover/use change and its impact on hydrological design aspects plays a vital role in assessing the capacity of existing storm water conveyance systems and its capability towards the anticipated peak flow. This paper attempts to illustrate an application of Soil Conservation Service (SCS-CN) method for runoff estimation using continuous time series rainfall. And also, the present work proposes a Land use factor based on the Curve Number to correct the infiltration rate according to the prevailing land cover/use. Indian remote sensing (IRS) satellite data for the years 1989, 1992, 1995, 1998, 2001, 2004, 2007, and 2010 are used to evaluate the growth of Tiruchirapalli city, India city and to assess its impact on surface runoff. The Geographical information system (GIS) is used to prepare the different layers belonging to various land covers identified from remotely sensed data. The sub-watersheds are created using Digital Elevation Model (DEM) prepared by ARC GIS software. The single storm event and 50-year return period rainfall data are used as a hydrological input to the model to evaluate the increase in runoff over the years due to change in the land cover of the study area. The study reveals that the impact of land cover/use change is more significant for longer duration storm than short duration storm at the same magnitude. Further, it is noticed from the study that the runoff depth and runoff co-efficient is large for short duration rainfall than long duration rainfall at the same magnitude.
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Al Rawashdeh S, Saleh B (2006) Satellite monitoring of urban spatial growth in Amman area, Jordan. J Urban Plan Dev 132(4):211–216
Baltas EA, Dervos NA, Mimikou MA (2007) Technical note: determination of the SCS initial abstraction ratio in an experimental watershed in Greece. Hydrol Earth Syst Sci 11:1825–1829
Berggren K, Olofsson M, Viklander M, Svensson G, Gustafsson AM (2012) Hydraulic impacts on urban drainage systems due to changes in rainfall caused by climatic change. J Hydrol Eng 17(1):92–98
Chung WH, Wang IT, Wang RY (2010) Theory-based SCS-CN method and its applications. J Hydrol Eng 15(12):1045–1058
Ehlers M, Jadkowski MA, Howard RR, Brostuen DE (1990) Application of SPOT data for regional growth analysis and local planning. Photogram Eng Rem Sen 56(2):175–180
Farooq S, Ahmad S (2008) Urban sprawl development around aligarh city: a study aided by satellite remote sensing and gis. J Ind Soc Rem Sen 36:77–78
Farr TG, Kobrick M (2000) Shuttle radar topography mission produces a wealth of data. Am Geophys Union Eos 81:583–585
Forsee WJ, Ahmad S (2011) Evaluating urban storm water infrastructure design in response to projected climate change. J Hydrol Eng 16(11):865–873
Han WS, Burian S (2009) Determining effective impervious area for urban hydrologic modeling. J Hydr Eng 14(2):111–120
Harris PM, Ventura SJ (1995) The integration of geographic data with remotely sensed imagery to improve classification in an urban area. Photogram Eng Rem Sen 61(8):993–998
Hawkins RH (1993) Asymptotic determination of runoff curve numbers from data. J Irrig Drain Eng 119(2):334–345
Hawkins RH, Jiang R, Woodward DE, Hjelmfelt AT, Van Mullem JA, Quan QD (2002) Runoff curve number method: Examination of the initial abstraction ratio. In: Proceedings of the second federal interagency hydrologic modeling conference, Las Vegas, Nevada, U.S. Geological Survey, Lakewood, Colorado, ASCE Publications, doi:10.1061/40685(2003)308
Jung IW, Chang H, Moradkhani H (2011) Quantifying uncertainty in urban flooding analysis considering hydro-climate projection and urban development effects. Hydrol Earth Syst Sci 15:617–633
Kim Y, Engel BA, Lim KJ, Larson V, Duncan B (2001) Runoff impacts of land use change in Indian river Lagoon watershed. J Hydrol Eng 7(5):245–251
Lim KJ, Engel BA, Muthukrishnan S, Harbor J (2006) Effects of initial abstraction and urbanization on estimated runoff using CN technology. J Am Water Resour Assoc 42(3):629–643
Liu X, Li J (2008) Application of SCS model in estimation of runoff from small watershed in Loess Plateau of China. Chin Geogr Sci 18(3):235–241
Lu D, Weng Q (2006) Use of impervious surface in urban land use classification. J Rem Sen Environ 102:146–160
McCuen RH (2002) Approach to confidence interval estimation for curve numbers. J Hydrol Eng 7(1):43–48
Mendas A (2010) The contribution of the digital elevation models and geographic information systems in a watershed hydrologic research. Appl Geomat 2:33–42
Michel C, Andreassian V, Perrin C (2005) Soil conservation service curve number method: how to mend a wrong soil moisture accounting procedure? Water Resour Res 41:W02011
NRCS (2004) Estimation of direct runoff from storm rainfall. Part 630, Hydrology, National Engineering Hand book, Chapter 10, Natural Resources Conservation Service, United States Department of Agriculture
Patil JP, Sarangi A, Singh OP, Singh AK, Ahmed T (2008) Development of a GIS interface for estimation of runoff from watersheds. Water Resour Manag 22:1231–1239
Ponce VM, Hawkins RH (1996) Runoff curve number: has it reached maturity? J Hydrol Eng 1(1):11–19
SCS (Soil Conservation Service) (1956) National engineering hand book, section 4; Hydrology, soil conservation service. USDA, Washington
SCS (Soil Conservation Service) (1986) Urban hydrology for small watersheds, US dept. of Agriculture. SCS Engg. Divn., Technical Release 55
Soulis KX, Valiantzas JD (2012) SCS-CN parameter determination using rainfall-runoff data in heterogeneous watersheds - the two-CN system approach. Hydrol Earth Syst Sci 16:1001–1015
Suribabu CR, Bhaskar J, Neelakantan TR (2012) Land use/cover change detection of Tiruchirapalli city, India using integrated remote sensing and GIS tools. J Ind Soc Rem Sen 40(4):699–708
Thanapura P, Helder DL, Burckhard S, Warmath E, O’Neill M, Galster D (2007) Mapping urban land cover using QuickBird NDVI and GIS spatial modeling for runoff co-efficient determination. Photogram Eng Rem Sen 73(1):057–065
Treitz PM, Howard PJ, Gong P (1992) Application of satellite and GIS technologies for land-cover and land-use mapping at the rural-urban fringe: a case study. Photogram Eng Rem Sen 58(4):439–448
Weng Q (2001) Modeling urban growth effects on surface runoff with the integration of remote sensing and GIS. Environ Manag 28(6):737–748
Weng Q (2002) Land use change analysis in the Zhujiang Delta of China using satellite remote sensing, GIS and Stochastic modeling. Environ Manag 64:273–284
Yeh AGO, Li X (1996) Urban growth management in the Pear River delta—an integrated remote sensing and GIS approach. ITC Journal 1:77–85
Yeh AGO, Li X (1997) An integrated remote sensing-GIS approach in the monitoring and evaluation of rapid urban growth for sustainable development in the Pearl River Delta, China. Int Plan Stud 2(2):193–210
Acknowledgments
The work presented here is the part of research project funded by Department of Science and Technology (DST-SERC) India under Grant No. SR/S3/MERC/074/2009-DST-SERC-Engg. The authors thank the authorities of the SASTRA University, India for providing infrastructural facilities for pursuing this research work. The authors are thankful to NRSC, Hyderabad for providing satellite imageries for the study area. The authors are also grateful to the anonymous reviewers whose comments helped in improving the quality of the paper significantly.
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Communicated by: H. A. Babaie
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Suribabu, C.R., Bhaskar, J. Evaluation of urban growth effects on surface runoff using SCS-CN method and Green-Ampt infiltration model. Earth Sci Inform 8, 609–626 (2015). https://doi.org/10.1007/s12145-014-0193-z
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DOI: https://doi.org/10.1007/s12145-014-0193-z