ISSN: 2157-7617

地球科学と気候変動ジャーナル

オープンアクセス

当社グループは 3,000 以上の世界的なカンファレンスシリーズ 米国、ヨーロッパ、世界中で毎年イベントが開催されます。 1,000 のより科学的な学会からの支援を受けたアジア および 700 以上の オープン アクセスを発行ジャーナルには 50,000 人以上の著名人が掲載されており、科学者が編集委員として名高い

オープンアクセスジャーナルはより多くの読者と引用を獲得
700 ジャーナル 15,000,000 人の読者 各ジャーナルは 25,000 人以上の読者を獲得

インデックス付き
  • CAS ソース インデックス (CASSI)
  • 索引コペルニクス
  • Google スカラー
  • シェルパ・ロミオ
  • 環境研究へのオンライン アクセス (OARE)
  • Jゲートを開く
  • Genamics JournalSeek
  • ジャーナル目次
  • ウルリッヒの定期刊行物ディレクトリ
  • Global Online Research in Agriculture (AGORA) へのアクセス
  • 国際農業生物科学センター (CABI)
  • レフシーク
  • ハムダード大学
  • エブスコ アリゾナ州
  • OCLC-WorldCat
  • プロクエスト召喚
  • SWBオンラインカタログ
  • パブロン
  • ユーロパブ
  • ICMJE
このページをシェアする

抽象的な

GIS-based Framework for the Simulation of the Impacts of Sea Level Rise and Coastal Flooding on Oman

Al-Buloshi A, Al-Hatrushi S and Charabi Y

The Sultanate of Oman has a shoreline of 3,165 km and offers a diverse range of natural resources and promising circumstances for social and economic development According to the Oman general census of 2010, 80% of the Omani population lives in low-lying areas such as coastal plains and could be threatened by Sea Level Rise (SLR). During the last five years the country witnessed two strong tropical cyclones, Gonu 2007 and Phet 2010 revealed the extreme vulnerability of the populated Omani coast to storm surge and flooding. The impact of SLR on the entire Omani coastal zone was assessed to develop estimates of inundated land area relative to a set of SLR scenarios. The impact of SLR was evaluated through the use of a GIS framework. A total of 7 SLR scenarios were considered: 0.2 meters, 0.5 meters, 1 meter, 2 meters, 3 meters, 4 meters and 5 meters. The sea level scenarios were overlain on land use/elevation datasets to estimate the inundation risk among all land use categories. All the grid cells that would be inundated based on a user-defined horizontal spatial resolution of 0.5 meters for the entire coastline. The results of the assessment show that Oman is highly vulnerable to climate change-induced SLR. At the national scale, nearly 400 km2 of total land area is projected to be inundated under the smallest SLR scenario. Under the highest SLR scenario, over 900 km2 is potentially inundated. An assessment of the vulnerability of productive land use shows that the Al-Batinah and Muscat governorates are the most vulnerable under all SLR scenarios. The findings of this study, shows that an urgent need to develop a strategic coastal management plan to face the challenges of the climate change, and to provide a clear outlook of the Omani coastal areas for better adaptive resilience and responses.