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<p>This study aims to bring a new perspective to spatial risk assessments by using multi-criteria decision analysis and geographic information systems for classifying leakage risk in Mersin Akkuyu and Sinop Nuclear Power Plants (Turkey). Experts identified the criteria (roads, farmland, residential areas, water, trees, crops, bare land, altitude, wind speed). Based on these criteria, datasets were prepared: land use land cover, wind speed, digital elevation model, and roads. In the resulting leak risk maps, 9.79% (300.52&#xa0;km<sup>2</sup>) of the total study area in Mersin-Akkuyu was classified as very high risk, and 16.48% (505.74&#xa0;km<sup>2</sup>) as high risk. In Sinop, 16.89% (477.70&#xa0;km<sup>2</sup>) of the total study area was classified as very high risk, and 20.2% (571.26&#xa0;km<sup>2</sup>) as high risk.</p>

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Nuclear leak spatial risk assessment with analytical hierarchy process (AHP) from multi-criteria decision analysis (MCDA) methods (case study of Türkiye Nuclear Power Plants)

  • 期刊论文

  • 发表日期：

    2025年1月29日

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  • C. Bertan Güllüdağ

摘要

This study aims to bring a new perspective to spatial risk assessments by using multi-criteria decision analysis and geographic information systems for classifying leakage risk in Mersin Akkuyu and Sinop Nuclear Power Plants (Turkey). Experts identified the criteria (roads, farmland, residential areas, water, trees, crops, bare land, altitude, wind speed). Based on these criteria, datasets were prepared: land use land cover, wind speed, digital elevation model, and roads. In the resulting leak risk maps, 9.79% (300.52 km2) of the total study area in Mersin-Akkuyu was classified as very high risk, and 16.48% (505.74 km2) as high risk. In Sinop, 16.89% (477.70 km2) of the total study area was classified as very high risk, and 20.2% (571.26 km2) as high risk.