利用 GeoAI 和 ChatGPT 研究埃及东南海岸红海的沿海水质动态

IF 2.2 4区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY
Mohamed Alkhuzamy Aziz , Ahmed El-Zeiny , Fayrouz M. Hassan , Doaa M. Naguib
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引用次数: 0

摘要

Halayeb 和 Shalateen 地区的红海沿海环境以其丰富的海洋动植物群而闻名。它对当地社区的经济和文化也具有重要意义。然而,该地区目前面临着各种挑战,包括气候变化和生境破坏。为了有效应对和缓解这些问题,需要能够全面了解该地区环境状况的先进技术。本文将地理空间人工智能(GeoAI)与 ChatGPT 相结合,研究 Halayeb 和 Shalateen 地区的红海沿海水质动态。大地卫星图像和哥白尼海洋服务分别用于检索区域边界和监测沿海水域的物理化学特征。利用 ChatGPT 生成 Python 代码,以便为每个物理和化学特性标准创建最佳分布图。Python 代码被纳入 ArcGIS 10.7.1 中的 Python 程序,并被执行以生成所需的物理和化学特性动态分布图。研究发现,在两个主要河谷(Wadi Hudain 和 Wadi Da'eb)河口附近的海岸线附近,化学特性出现了波动。在远离海岸的深水区,稳定程度有所提高。这证明了径流对海水的影响,因为径流对水体状态起着至关重要的作用,特别是在像红海这样的半封闭水体中,山洪是使水体富含沉积物和营养物质的主要来源。海水的物理性质状态没有特定的模式。红海物理参数的分布受区域气候变化、季风和当地地形等因素的影响。本文为今后的研究工作提供了一个基石,探索了这一综合方法的全部潜力。可以说,GeoAI 和 ChatGPT 技术的融合有可能彻底改变我们研究和管理沿海环境的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coastal water quality dynamics of the Red Sea, southeast coast of Egypt using GeoAI and ChatGPT

The Red Sea coastal environment of Halayeb and Shalateen area is renowned for its abundant marine flora and fauna. It also holds significant economic and cultural importance for local communities. However, this region is currently confronted with various challenges, including climate change and habitat destruction. To effectively address and mitigate these issues, advanced technologies that offer a holistic understanding of the area's environmental conditions are required. This paper applies the integration of Geospatial Artificial Intelligence (GeoAI) and ChatGPT to study the Red Sea Coastal water quality dynamics of Halayeb and Shalateen Area. Landsat imagery and Copernicus Marine Service were used to retrieve area boundaries and monitor the physicochemical characteristics of the coastal water respectively. ChatGPT was utilized to generate Python code that facilitates the creation of optimal distribution maps for each physical and chemical property criterion. The Python codes were incorporated into the Python program within the ArcGIS 10.7.1 and executed to generate the desired maps representing the dynamics of physical and chemical properties. It was found an observed fluctuation in chemical properties next to the coastline around the mouth of two main wadies; Wadi Hudain, and Wadi Da'eb. The degree of stability increased away from the coast toward the deep water. That proved the effect of the runoff on the seawater, as the runoff plays an essential role in the water state, especially in such semi-closed water bodies like the Red Sea where the flashfloods are the main source that can enrich water with sediment and nutrients. The state of seawater in terms of physical properties was not characterized by a specific pattern. The distribution of physical parameters in the Red Sea is influenced by factors such as regional climate variations, monsoonal winds, and local topography. This paper serves as a stepping stone for future research endeavors, exploring the full potential of this integrated approach. It can be concluded that the fusion of GeoAI and ChatGPT technologies has the potential to revolutionize our approach to studying and managing the coastal environment.

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来源期刊
Journal of African Earth Sciences
Journal of African Earth Sciences 地学-地球科学综合
CiteScore
4.70
自引率
4.30%
发文量
240
审稿时长
12 months
期刊介绍: The Journal of African Earth Sciences sees itself as the prime geological journal for all aspects of the Earth Sciences about the African plate. Papers dealing with peripheral areas are welcome if they demonstrate a tight link with Africa. The Journal publishes high quality, peer-reviewed scientific papers. It is devoted primarily to research papers but short communications relating to new developments of broad interest, reviews and book reviews will also be considered. Papers must have international appeal and should present work of more regional than local significance and dealing with well identified and justified scientific questions. Specialised technical papers, analytical or exploration reports must be avoided. Papers on applied geology should preferably be linked to such core disciplines and must be addressed to a more general geoscientific audience.
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