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Integrating Artificial Intelligence in Blue-Green Infrastructure: Enhancing Sustainability and Resilience
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Author(s): Dhanunjay Reddy Seelam (Independent Researcher, USA), Mridula Dileepraj Kidiyur (IEEE, USA), Pawan Whig (VIPS, India), Shashi Kant Gupta (Computer Science and Engineering, Eudoxia Research University, USA)and Siva Subrahmanyam Balantrapu (Independent Researcher, USA)
Copyright: 2025
Pages: 26
Source title:
Integrating Blue-Green Infrastructure Into Urban Development
Source Author(s)/Editor(s): Shashi Kant Gupta (Eudoxia Research University, USA), Nitu Maurya (IILM University, India), Firdous Ahmad Malik (University of People, USA)and Laeeq Razzak Janjua (WSB University, Poland)
DOI: 10.4018/979-8-3693-8069-7.ch016
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Abstract
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.
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