IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v23y2009i10p1893-1915.html
   My bibliography  Save this article

Estimation of Urban Impervious Fraction from Satellite Images and Its Impact on Peak Discharge Entering a Storm Sewer System

Author

Listed:
  • Fabrizio Ravagnani
  • Alberto Pellegrinelli
  • Marco Franchini

Abstract

The runoff coefficient in an urban basin is highly influenced by the impervious and pervious surface fractions since they affect the entity of rainwater entering a storm sewer system. Today these fractions can be estimated by reading high resolution satellite images that are readily available at a relatively low cost. However, this approach involves a certain margin of error when it comes to identifying the various types of cover and hence the total extent of impervious and pervious surfaces. The first problem addressed in this paper thus lies in assessing to what degree the error in the estimation of the two fractions—as derived from a reading of satellite images of the area taken into consideration—may impact the estimation of peak discharge which will be used in turn as a basis for designing or verifying a storm sewer system. A further aspect affecting the entity of rainwater that flows into a storm sewer system is the manner in which the impervious and pervious fractions are connected to the system itself. This type of information may not be deduced from satellite images, but only from an extensive field survey. However, such surveys are feasible only for areas of limited size, whereas they become prohibitive in terms of time and cost in the case of large catchments. An investigation was thus made into whether disregarding the type of connection would significantly affect the peak discharge taken as reference for the design or verification of a storm sewer system. The two above-mentioned problems were addressed in reference to a real case, represented by the town of Codigoro (Ferrara, Italy), in which five small basins with different types of land cover were selected. The results of our analysis show that an estimation of impervious and pervious fractions from high resolution satellite images is sufficiently precise and acceptable for estimating the peak discharge entering the sewer system. By contrast, disregarding the information on how the different areas are connected to the sewer system may lead to a marked overestimation of discharges. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Fabrizio Ravagnani & Alberto Pellegrinelli & Marco Franchini, 2009. "Estimation of Urban Impervious Fraction from Satellite Images and Its Impact on Peak Discharge Entering a Storm Sewer System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(10), pages 1893-1915, August.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:10:p:1893-1915
    DOI: 10.1007/s11269-008-9359-0
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-008-9359-0
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-008-9359-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. N. Nirupama & Slobodan Simonovic, 2007. "Increase of Flood Risk due to Urbanisation: A Canadian Example," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 40(1), pages 25-41, January.
    2. Madan Jha & Alivia Chowdhury & V. Chowdary & Stefan Peiffer, 2007. "Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(2), pages 427-467, February.
    3. Y. Liu & F. Smedt, 2005. "Flood Modeling for Complex Terrain Using GIS and Remote Sensed Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(5), pages 605-624, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. John Raffensperger & Thomas Cochrane, 2010. "A Smart Market for Impervious Cover," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(12), pages 3065-3083, September.
    2. Peter Bach & Ana Deletic & Christian Urich & Robert Sitzenfrei & Manfred Kleidorfer & Wolfgang Rauch & David McCarthy, 2013. "Modelling Interactions Between Lot-Scale Decentralised Water Infrastructure and Urban Form – a Case Study on Infiltration Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4845-4863, November.
    3. Akanksha Balha & Amit Singh & Suneel Pandey & Reetesh Kumar & Javed Mallick & Chander Kumar Singh, 2023. "Assessing the Impact of Land-Use Dynamics to Predict the Changes in Hydrological Variables Using Effective Impervious Area (EIA)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 3999-4014, August.
    4. Vasilis Bellos & George Tsakiris, 2015. "Comparing Various Methods of Building Representation for 2D Flood Modelling In Built-Up Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 379-397, January.
    5. S. Tang & W. Luo & Z. Jia & W. Liu & S. Li & Y. Wu, 2016. "Evaluating Retention Capacity of Infiltration Rain Gardens and Their Potential Effect on Urban Stormwater Management in the Sub-Humid Loess Region of China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(3), pages 983-1000, February.
    6. Rebeka Sultana & Mike Mroczek & Ashmita Sengupta & Suzanne Dallman & Eric D. Stein, 2020. "Improving Effective Impervious Estimates to Inform Stormwater Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 747-762, January.
    7. Sanat Nalini Sahoo & P. Sreeja, 2016. "Relationship between peak rainfall intensity (PRI) and maximum flood depth (MFD) in an urban catchment of Northeast India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 83(3), pages 1527-1544, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jha, Madan K. & Chowdary, V.M. & Kulkarni, Y. & Mal, B.C., 2014. "Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 96-111.
    2. Hung-Chih Hung & Ming-Chin Ho & Yi-Jie Chen & Chang-Yi Chian & Su-Ying Chen, 2013. "Integrating long-term seismic risk changes into improving emergency response and land-use planning: a case study for the Hsinchu City, Taiwan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(1), pages 491-508, October.
    3. Shuang Liu & Rui Liu & Nengzhi Tan, 2021. "A Spatial Improved-kNN-Based Flood Inundation Risk Framework for Urban Tourism under Two Rainfall Scenarios," Sustainability, MDPI, vol. 13(5), pages 1-18, March.
    4. Li, Sheng & Nadolnyak, Denis & Hartarska, Valentina, 2019. "Agricultural land conversion: Impacts of economic and natural risk factors in a coastal area," Land Use Policy, Elsevier, vol. 80(C), pages 380-390.
    5. Pennan Chinnasamy & Govindasamy Agoramoorthy, 2015. "Groundwater Storage and Depletion Trends in Tamil Nadu State, India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2139-2152, May.
    6. H. Zeinivand & F. Smedt, 2009. "Hydrological Modeling of Snow Accumulation and Melting on River Basin Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(11), pages 2271-2287, September.
    7. Nagarajan Shanmugavel & Rema Rajendran, 2022. "Adoption of Rainwater Harvesting: a Dual-factor Approach by Integrating Theory of Planned Behaviour and Norm Activation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(8), pages 2827-2845, June.
    8. Shaghayegh Miraki & Sasan Hedayati Zanganeh & Kamran Chapi & Vijay P. Singh & Ataollah Shirzadi & Himan Shahabi & Binh Thai Pham, 2019. "Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(1), pages 281-302, January.
    9. Prabir Mukherjee & Chander Singh & Saumitra Mukherjee, 2012. "Delineation of Groundwater Potential Zones in Arid Region of India—A Remote Sensing and GIS Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(9), pages 2643-2672, July.
    10. Boyu Feng & Jinfei Wang & Ying Zhang & Brent Hall & Chuiqing Zeng, 2020. "Urban flood hazard mapping using a hydraulic–GIS combined model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(3), pages 1089-1104, February.
    11. Scott Moore & Joshua Fisher, 2012. "Challenges and Opportunities in GRACE-Based Groundwater Storage Assessment and Management: An Example from Yemen," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(6), pages 1425-1453, April.
    12. Biswajit Das & Subodh Chandra Pal, 2020. "Assessment of groundwater recharge and its potential zone identification in groundwater-stressed Goghat-I block of Hugli District, West Bengal, India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(6), pages 5905-5923, August.
    13. M. Chitsazan & Y. Akhtari, 2009. "A GIS-based DRASTIC Model for Assessing Aquifer Vulnerability in Kherran Plain, Khuzestan, Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1137-1155, April.
    14. Yun Xing & Huili Chen & Qiuhua Liang & Xieyao Ma, 2022. "Improving the performance of city-scale hydrodynamic flood modelling through a GIS-based DEM correction method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(3), pages 2313-2335, July.
    15. Hongnian Chen & Xianfeng Tan & Yan Zhang & Bo Hu & Shuming Xu & Zhenfen Dai & Zhengxuan Zhang & Zhiye Wang & Yawei Zhang, 2023. "Study on Groundwater Function Zoning and Sustainable Development and Utilization in Jining City Planning Area," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    16. Swades Pal & Susanta Mahato & Biplab Giri & Deep Narayan Pandey & Pawan Kumar Joshi, 2021. "Quantifying monthly water balance to estimate water deficit in Mayurakshi River basin of Eastern India," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(11), pages 15986-16014, November.
    17. K. R. Rushton & C. S. Silva, 2017. "Abstraction Strategies for Irrigation from Large Diameter Wells," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(7), pages 2257-2270, May.
    18. Xin Zhang & Yuqi Liu & Lin Zhou, 2018. "Correlation Analysis between Landscape Metrics and Water Quality under Multiple Scales," IJERPH, MDPI, vol. 15(8), pages 1-14, July.
    19. Gao, Xiaoyu & Huo, Zailin & Xu, Xu & Qu, Zhongyi & Huang, Guanhua & Tang, Pengcheng & Bai, Yining, 2018. "Shallow groundwater plays an important role in enhancing irrigation water productivity in an arid area: The perspective from a regional agricultural hydrology simulation," Agricultural Water Management, Elsevier, vol. 208(C), pages 43-58.
    20. Mahenthiran Sathiyamoorthy & Uma Shankar Masilamani & Aaron Anil Chadee & Sreelakhmi Devi Golla & Mohammed Aldagheiri & Parveen Sihag & Upaka Rathnayake & Jyotendra Patidar & Shivansh Shukla & Aryan K, 2023. "Sustainability of Groundwater Potential Zones in Coastal Areas of Cuddalore District, Tamil Nadu, South India Using Integrated Approach of Remote Sensing, GIS and AHP Techniques," Sustainability, MDPI, vol. 15(6), pages 1-15, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:23:y:2009:i:10:p:1893-1915. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.