How to cite:
Shahraki, A.A. Nature-Based Management of Urban Floods to Decline Risks with Case Studies. Preprints2020, 2020110713. https://doi.org/10.20944/preprints202011.0713.v1
Shahraki, A.A. Nature-Based Management of Urban Floods to Decline Risks with Case Studies. Preprints 2020, 2020110713. https://doi.org/10.20944/preprints202011.0713.v1
Shahraki, A.A. Nature-Based Management of Urban Floods to Decline Risks with Case Studies. Preprints2020, 2020110713. https://doi.org/10.20944/preprints202011.0713.v1
APA Style
Shahraki, A.A. (2020). Nature-Based Management of Urban Floods to Decline Risks with Case Studies. Preprints. https://doi.org/10.20944/preprints202011.0713.v1
Chicago/Turabian Style
Shahraki, A.A. 2020 "Nature-Based Management of Urban Floods to Decline Risks with Case Studies" Preprints. https://doi.org/10.20944/preprints202011.0713.v1
Abstract
This paper discusses devastating urban floods in the year 2019 that caused human and socioeconomic losses in many countries, including Iran. The main question addressed by this paper is the choice between two flood management models, namely, the optimal and nature-based flood management or the existing hazardous situation that damage the ecosystem and natural resources. The analysis of this paper will find the main responsible factors in the mentioned floods in Iran. For this reason, it examines the impacts of the existing flood management that neglects the ecosystems, environmental components, and nature. The method of this research includes theoretical studies, case studies with the help of structured interviews, and observations. A benchmarking technique compares the two alternatives. The comparisons use seven indicators abstracted from successful global experiences and local knowledge. Finally, this research presents a model for optimal flood management that is applicable everywhere in the world.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.