Leveraging remote sensing, geophysical methods and AHP model to determine optimal locations for green hydrogen production on Egypt’s Mediterranean coast
リモートセンシング、物理探査手法、AHPモデルを活用したエジプト地中海沿岸におけるグリーン水素生産の最適立地決定 (AI 翻訳)
Yasmeen Y. El Hateem, Ahmad Diab, H. M. El-sayed, M. El Maghraby, Amr S. Fahil
🤖 gxceed AI 要約
日本語
本研究は、リモートセンシング、GIS、AHP、及び垂直電気探査を統合し、エジプト地中海沿岸におけるグリーン水素生産の最適立地を特定する。海水からの距離、傾斜、地質、土地被覆、標高、道路からの距離、風速、気温の8パラメータを評価し、一貫性比0.079で重み付けを検証。適地マップでは、最も適した地域は全体の3.5%を占め、マルサ・マトルーフ北部が最適と判明。また、比抵抗探査により、最適な基盤岩は深度1.3～47mの苦灰質石灰岩であることが示された。
English
This study integrates remote sensing, GIS, AHP, and vertical electrical soundings to identify optimal green hydrogen production sites along Egypt's Mediterranean coast. Eight parameters were evaluated with a consistency ratio of 0.079. The most suitable area covers 3.5% of the region, with northern Marsa Matruh identified as the best location. Geophysical surveys reveal dolomitic limestone at depths of 1.3–47 m as optimal bedrock, supporting Egypt's energy transition goals.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本は水素戦略を推進しており、本論文の立地選定手法は国内沿岸部でのグリーン水素生産拠点計画に応用可能である。また、エジプトの事例は日本企業の海外水素プロジェクト参入の参考となる。
In the global GX context
Green hydrogen is a key pillar of global decarbonization. This study provides a replicable multi-criteria framework for site selection that combines remote sensing, AHP, and geophysical validation, which can be adapted for coastal regions worldwide, including those targeted by international hydrogen projects.
👥 読者別の含意
🔬研究者:Provides a robust methodological framework integrating remote sensing, GIS, AHP, and geophysics for optimal siting of green hydrogen facilities.
🏢実務担当者:Offers a practical workflow for identifying suitable locations for green hydrogen production, incorporating both surface and subsurface criteria.
🏛政策担当者:Supports strategic planning for national hydrogen roadmaps by demonstrating a data-driven approach to site selection.
📄 Abstract（原文）
Global efforts to decarbonize energy systems have intensified the search for renewable alternatives due to reduce rapid climate change, green hydrogen is considered one of the best intriguing solutions. This research integrates remote sensing, GIS, analytic hierarchy process (AHP), and vertical electrical survey to identify optimal locations for production of green hydrogen along Egypt’s Mediterranean coast. Remote sensing and GIS provide spatial and environmental data on surface, AHP supports multi-criteria decision-making, and VES validates the results insights. The methodology employs eight critical parameters: distance to sea, slope, geology, land use/land cover, elevation, distance to roads, wind speed, and air temperature. These parameters were evaluated by utilizing analytic hierarchy process with a consistency ratio of 0.079 which confirms correctness of the weightage method. The resulting suitability map categorizes potential sites into four classes: least suitable, marginally suitable, moderately suitable, and most suitable, which represents 3.5% of the area. Analysis revealed that the northern part of Marsa Matruh represents the most favorable location for green hydrogen production. Additionally, a geoelectrical survey using eleven vertical electrical soundings (VESs) with Schlumberger configuration validated the surface findings and provided crucial subsurface information, suggesting dolomitic limestone as the optimal bedrock for facility construction which found at a depth ranging between 1.3 and 47 m with resistivity values ranging from 185.7 to 2251 Ω m. This study offers a thorough framework for the strategic advancement of green hydrogen production in Egypt, supporting the country’s sustainable energy transition goals.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.1038/s41598-026-41730-wfirst seen 2026-05-15 19:34:06
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