Literature DB >> 30903836

Assessing the Co-Benefits of green-blue-grey infrastructure for sustainable urban flood risk management.

Alida Alves1, Berry Gersonius2, Zoran Kapelan3, Zoran Vojinovic4, Arlex Sanchez4.   

Abstract

Green-blue infrastructures in urban spaces offer several co-benefits besides flood risk reduction, such as water savings, energy savings due to less cooling usage, air quality improvement and carbon sequestration. Traditionally, these co-benefits were not included in decision making processes for flood risk management. In this work we present a method to include the monetary analysis of these co-benefits into a cost-benefits analysis of flood risk mitigation measures. This approach was applied to a case study, comparing costs and benefits with and without co-benefits. Different intervention strategies were considered, using green, blue and grey measures and combinations of them. The results obtained illustrate the importance of assessing co-benefits when identifying best adaptation strategies to improve urban flood risk management. Otherwise green infrastructure is likely to appear less efficient than more conventional grey infrastructure. Moreover, a mix of green, blue and grey infrastructures is likely to result in the best adaptation strategy as these three alternatives tend to complement each other. Grey infrastructure has good performance at reducing the risk of flooding, whilst green infrastructure brings in multiple additional benefits that grey infrastructure cannot offer.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Co-benefits valuation; Cost-benefits analysis; Decision making; Flood risk management; Green-blue-grey infrastructure; Sustainable urban drainage

Mesh:

Year:  2019        PMID: 30903836     DOI: 10.1016/j.jenvman.2019.03.036

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  The spatial non-stationary effect of urban landscape pattern on urban waterlogging: a case study of Shenzhen City.

Authors:  Jiansheng Wu; Wei Sha; Puhua Zhang; Zhenyu Wang
Journal:  Sci Rep       Date:  2020-04-30       Impact factor: 4.379

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.