Skip to main content

Advertisement

Log in

Quantification of flood mitigation services by urban green spaces using InVEST model: a case study of Hyderabad city, India

  • Original Article
  • Published:
Modeling Earth Systems and Environment Aims and scope Submit manuscript

Abstract

Urban floods have become more frequent across the globe. The transformation of the urban landscape with increased concretization and dwindling green cover has resulted in excess run-off generation thereby causing the flash floods. The protective role and ecosystem benefits of urban green spaces needs to be quantified so that it will unlock the possibilities of integrating natural capital thinking into policymaking. Hence in this study, we quantified the flood mitigation service of green spaces and estimated the tangible economic damage to the built infrastructure in the Hyderabad metropolitan city, India using the Integrated Valuation of Ecosystem Services and Trade-offs model. The analysis was carried out for 2-years and 5-years design precipitation of 1 h duration. Results show that 44–50% of the precipitation is retained by the urban green and open spaces. With an increase of 13% in the rainfall intensity (from 2-years to 5-years), the run-off volume has increased by 21%, while the run-off retained has increased only by 5%, which indicates that even slight increase in rainfall intensity results in huge run-off generation that causes commensurate economic damages. The economic damage due to flood inundation of the built infrastructure is estimated to be 1.39 million USD using the unit cost method. Overall, the indicator of run-off retention service is quantified as 4.25E + 13 and 4.46E + 13 for the 2-years and 5-years return period precipitation, respectively. The structural and non-structural flood mitigation measures are also enumerated along with the limitations of the model.

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

Similar content being viewed by others

Data availability

The data could be made available if requested.

Code availability

Not applicable.

Abbreviations

AMC:

Antecedent moisture condition

DEM:

Digital elevation model

GEE:

Google earth engine

HSG:

Hydrologic soil group

InVEST:

Integrated Valuation of Ecosystem Services and Trade-offs

LULC:

Land use land cover

NbS:

Nature-based solutions

QGIS:

Quantum geographic information system

RS-GIS:

Remote sensing and geographic information system

SCS-CN:

Soil conservation service-curve number

SDG:

Sustainable development goals

UGS:

Urban green spaces

UHI:

Urban heat island

References

Download references

Acknowledgements

The authors sincerely thank the support extended by the Commissioner of Technical Education, Telangana State and Director of Jawaharlal Nehru Technological University, Hyderabad.

Funding

The research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ashok Kadaverugu.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

CRediT statement

Conceptualization: Ashok Kadaverugu; Methodology: Ashok Kadaverugu; Formal analysis and Investigation: Ashok Kadaverugu; Writing-original draft preparation: Ashok Kadaverugu; Supervision: Nageshwar Rao Ch, Viswanadh G K.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kadaverugu, A., Nageshwar Rao, C. & Viswanadh, G.K. Quantification of flood mitigation services by urban green spaces using InVEST model: a case study of Hyderabad city, India. Model. Earth Syst. Environ. 7, 589–602 (2021). https://doi.org/10.1007/s40808-020-00937-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40808-020-00937-0

Keyword

Navigation