Integrating Green–Blue–Gray Infrastructure for Sustainable Urban Flood Risk Management: Enhancing Resilience and Advantages

Al‐Humaiqani, Mohammed M.; Al‐Ghamdi, Sami G.

doi:10.1002/9781394201532.ch13

Cited by 2 publications

(1 citation statement)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study involves the second part of the survey that collects the target audience's perception. The objective of this paper is driven by the increasing climate change threats and their direct and indirect impacts on the BESs (Schipper and Pelling, 2006;IFRC, 2003;Li et al, 2012;Sato, 2017;Alec Tzannes, 2019;Andrić et al, 2019;Halder and Bandyopadhyay, 2021;Al-Humaiqani and Al-Ghamdi, 2022;Auffhammer, 2022;Bamdad et al, 2022;Blekking et al, 2022;Hidalgo-Galvez et al, 2022;Hürlimann et al, 2022;Larsson Ivanov et al, 2022;Mayo and Lin, 2022;Wang et al, 2022;Wollschlaeger et al, 2022;Al-Humaiqani and Al-Ghamdi, 2023f;Tahir and Al-Ghamdi, 2023). Hence, understanding the built environment Evaluations of the (A) BESs' ability to mitigate climate-related disruptions and minimize associated consequences and rating the capacity and (B) ranking the level of losses over time.…”

Section: Objectivesmentioning

confidence: 99%

Robustness, redundancy, inclusivity, and integration of built environment systems: resilience quantification from stakeholders’ perspectives

Al-Humaiqani,

Al-Ghamdi

2024

Front. Built Environ.

View full text Add to dashboard Cite

The built environment faces a growing number of challenges due to changing climates. A resilient built environment system (BES) can withstand disruptions and shocks, and resilient design allows communities to bounce back quickly. Considering present and future needs, BESs can be oriented to adapt to new uses or modified to handle changing climates. This study examines the resilience qualities (RQs) of built environment systems (BESs) in responding to and recovering from climate change disruptions effectively. A survey was designed to capture the views of various stakeholders about the different indicators to assess the four RQs: robustness (Rb), redundancy (Rd), inclusivity (Ic), and integration (It). Regulatory and engineering stakeholders participated in the survey, and the results were analyzed using statistical methods. Stakeholders generally agree on the need to enhance transformative capacity for addressing uncertainties and climate challenges. While stakeholders trust the role of BESs’ robustness against climate impacts, some suggest improving standards for better resilience. There is consensus on the importance of regulatory measures mandating emergency resources in BESs. The study highlights the need to enhance adaptive capacities and tools within BESs. Incorporating reconfigurability and spare capacity in BESs is crucial to prevent disruptions. Participants tend to think promoting good practices at the community level is essential to address climate impacts effectively. The analysis highlights the importance of inclusive community consultation and involvement in fostering a shared responsibility for enhancing urban ecosystems against climate change impacts. This involves aligning processes across various city systems to support cohesive decision-making and strategic investments. The study suggests developing objective engineering techniques to establish a standardized approach for evaluating the RQs of BESs.

show abstract

Section: Objectivesmentioning

confidence: 99%

Robustness, redundancy, inclusivity, and integration of built environment systems: resilience quantification from stakeholders’ perspectives

Al-Humaiqani,

Al-Ghamdi

2024

Front. Built Environ.

View full text Add to dashboard Cite

show abstract

Integrating Artificial Intelligence in Blue-Green Infrastructure

Seelam,

Kidiyur,

Whig

et al. 2024

Advances in Public Policy and Administration

View full text Add to dashboard Cite

This chapter explores the transformative role of Artificial Intelligence (AI) in enhancing the design, implementation, and management of Blue-Green Infrastructure (BGI), a sustainable urban planning approach that integrates natural and engineered systems to address environmental challenges. The convergence of AI with BGI offers unprecedented opportunities to improve urban resilience, optimize resource management, and mitigate the impacts of climate change. Through advanced data analytics, predictive modeling, and real-time monitoring, AI-driven solutions can enhance the efficiency and effectiveness of BGI projects. This chapter delves into the various AI applications in BGI, including smart water management, flood prediction and prevention, urban heat island mitigation, and biodiversity conservation. Case studies and examples from global cities illustrate how AI is being leveraged to create more adaptive, sustainable, and resilient urban environments. The chapter also discusses the challenges and ethical considerations associated with the integration of AI in BGI, emphasizing the need for interdisciplinary collaboration and responsible AI deployment to ensure equitable and long-term benefits.

show abstract

Integrating Green–Blue–Gray Infrastructure for Sustainable Urban Flood Risk Management: Enhancing Resilience and Advantages

Cited by 2 publications

References 63 publications

Robustness, redundancy, inclusivity, and integration of built environment systems: resilience quantification from stakeholders’ perspectives

Robustness, redundancy, inclusivity, and integration of built environment systems: resilience quantification from stakeholders’ perspectives

Integrating Artificial Intelligence in Blue-Green Infrastructure

Contact Info

Product

Resources

About