インドネシア・デマック県ベタワラン保全地域における沿岸脆弱性評価と災害リスク管理
Coastal Vulnerability Assessment and Disaster Risk Management of the Betahwalang Conservation Area, Demak, Indonesia (原題)
Agus Indarjo, G. D. Maharani, M. Zainuri, H. Endrawati, S. Suryono
🤖 gxceed AI 要約
日本語
インドネシア・デマック県ベタワラン海域を対象に、2015〜2025年の沿岸脆弱性の経年変化を沿岸脆弱性指数（CVI）とGISで評価した研究。衛星画像や潮位記録等を用いた加重オーバーレイ分析により、対象域の約69%が高〜極めて高い脆弱性に該当し、地形と海岸勾配が主要因であることを示す。過去10年で高脆弱域が拡大し、潮汐氾濫・養殖拡大・マングローブ劣化が主因と結論づける。
English
This study assesses 2015–2025 coastal vulnerability in Betahwalang Waters, Demak, Indonesia, using a Coastal Vulnerability Index integrated with GIS. Weighted overlay of physical, geological, and environmental parameters shows ~69% of the area is high to very high vulnerability, driven mainly by geomorphology and coastal slope. High-vulnerability zones expanded over the decade due to tidal inundation, aquaculture, and mangrove degradation, offering a transferable framework for tropical deltaic coastal management.
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
日本の沿岸自治体や適応計画にとっても、GISと衛星データを組み合わせた脆弱性モニタリング手法は参考になる。ただしSSBJ・有報・TCFD等の企業開示文脈との直接的な接続は弱く、適応策・防災計画の実務者向けの知見として位置づけられる。
In the global GX context
While not directly tied to TCFD/ISSB disclosure frameworks, this work contributes to the physical climate-risk and adaptation side of global GX scholarship, relevant to CSRD/TCFD adaptation reporting and ecosystem-based coastal management in vulnerable delta regions.
👥 読者別の含意
🔬研究者:沿岸脆弱性評価におけるCVIとGIS統合手法の長期モニタリング応用例として参考になる。
🏢実務担当者:沿岸立地を持つ企業の適応・BCP検討において、脆弱性マッピング手法を参照できる。
🏛政策担当者:沿岸空間計画や生態系基盤型防災政策の立案に、脆弱性評価の科学的根拠を提供する。
📄 Abstract（原文）
Low-lying coastal regions worldwide face escalating threats from sea-level rise, land subsidence, coastal erosion, and recurrent tidal flooding, underscoring the urgent need for effective disaster management informed by spatial vulnerability assessments. This study evaluates temporal changes in coastal vulnerability within Betahwalang Waters, Demak Regency, Indonesia, over the period 2015–2025, applying the Coastal Vulnerability Index (CVI) integrated with Geographic Information Systems (GIS). Primary data were obtained through field surveys, whereas secondary data comprised Sentinel-2 satellite imagery, digital elevation and bathymetric datasets, and tidal records. Coastal vulnerability was analyzed using a GIS-based weighted overlay approach that combined and quantified multiple physical, geological, and environmental parameters. The results reveal that approximately 69% of the study area falls within the high to very high vulnerability categories, with geomorphology and coastal slope emerging as the two dominant contributing factors, each accounting for 20% of the overall index. A comparison with the 2015 BNPB coastal hazard assessment indicates a pronounced spatial expansion of high-vulnerability coastal zones over the past decade, primarily driven by tidal inundation, aquaculture expansion, and progressive mangrove degradation. This study contributes to coastal disaster management by demonstrating the value of integrating field observations, remote sensing, and GIS for monitoring long-term vulnerability dynamics. The findings offer a robust scientific basis for disaster risk reduction, vulnerability-based spatial planning, and ecosystem-based coastal management. Collectively, they provide a practical and transferable framework for strengthening the resilience of tropical deltaic coasts confronting intensifying climate-related hazards in similarly vulnerable low-lying coastal environments worldwide.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://ejournal.undip.ac.id/index.php/ijms/article/download/83157/pdffirst seen 2026-09-29 05:38:09
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