Article citationsMore>>

Yuan, F., Fan, C., Farahmand, H., Coleman, N., Esmalian, A., Lee, C. C., Patrascu, F. I., Zhang, C., Dong, S., & Mostafavi, A. (2022). Smart Flood Resilience: Harnessing Community-Scale Big Data for Predictive Flood Risk Monitoring, Rapid Impact Assessment, and Situational Awareness. Environmental Research: Infrastructure and Sustainability, 2, Article ID: 025006. https://doi.org/10.1088/2634-4505/ac7251

has been cited by the following article:

• TITLE: Flood Resilient Smart Cities and Urban Safety in a World Affected by Climate Change

  AUTHORS: Francisco Campos da Costa, Cássius Guimarães Chai, Mônica Fontenelle Carneiro, Carlos Magno Alhakim Figueiredo Júnior, Alberto Manuel Poletti Adorno

  KEYWORDS: Smart Cities and Development, Metropolitan Sustainability Areas, CO2 Emissions, Greenhouse Gases, Flood Resilience

  JOURNAL NAME: Beijing Law Review, Vol.14 No.3, September 27, 2023

  ABSTRACT: The paper aims to investigate how smart cities can utilize new technologies to enhance their flood resistance and overall security for their populations. The paper addresses the increasing challenges posed by urbanization, climate change, and their associated impacts on flooding and extreme weather events. The theme is justified considering that the UN reports 55% of people live in cities, which produce 70% of global CO2 emissions. Human activities causing greenhouse gases contribute to rising global temperatures. Urban soil’s poor water absorption disrupts the hydrological cycle, increasing flood risks. The development of “smart cities” and the application of “Internet of Things” technology can increase our awareness of cities’ risks. Therefore, decision-makers have access to more information, allowing them to act in the relevant places and achieve beneficial results regarding urban security and flood resilience. The subject that needs to be researched is, “How can smart cities leverage new technologies to become flood-resistant and more secure for their populations?” The paper’s hypothetical-deductive methodology had support from both American and international bibliographic and documentary data.