چکیده مقاله
In the face of climate change and increasing anthropogenic pressures on coastal regions, the integration of Artificial Intelligence AI algorithms with Geographic Information Systems GIS emerges as a powerful solution for proactive coastal management This article explores the implementation of advanced AI techniques within GIS frameworks to predict coastal erosion and enhance the resilience of marine infrastructure We delve into the integration of machine learning models for erosion prediction, real time monitoring through Internet of Things IoT devices, and the utilization of GIS for effective visualization and decision making The presented approach not only aids in predicting erosion risks but also contributes to adaptive planning, infrastructure maintenance, and sustainable development strategies The synergy between AI and GIS in coastal applications represents a pivotal step towards resilient coastal ecosystems and robust marine structures in the era of dynamic environmental challenges
کلیدواژهها
نویسندگان
سید رضا سمائی
Post doctoral, Lecturer of Technical and Engineering Faculty, Science and Research Branch, Islamic Azad University, Tehran, Iran
محمد اسدیان قهفرخی
Assistant professor, Department of Marine industries, Science and Research Branch, Islamic Azad University, Tehran, Iran
شیوه ارجاع
�مائی, سید رضا and اسدیان قهفرخی, محمد,1402,AI-Enhanced GIS Solutions for Sustainable Coastal Management: Navigating Erosion Prediction and Infrastructure Resilience,The second international conference on creative achievements of architecture, urban planning, civil engineering and environment in the sustainable development of the Middle East,Mashhad
ارائهشده در
مجموعه مقالات دومین کنفرانس بین المللی دستاوردهای خلاقانه معماری، شهرسازی، عمران و محیط زیست در توسعه پایدار خاورمیانه10 آذر 1402 · مشهد