Quality Analysis for Conservation and Integral Risk Assessment of the Arribes del Duero Natural Park (Spain)

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 885 - 885

Published: April 17, 2025

The environment is being affected by the great development of human activities, which why, in recent years, need to protect has increased, through carrying out a Strategic Environmental Assessment (SEA). Within this assessment, environmental geology constitutes an instrument for territorial and urban planning based on analysis conservation integral risks, obtaining cartography that can be useful regional strategies. methodology carried article consists applying multi-criteria planning, combining vector raster data. This novel, low-cost, effective assesses areas using map algebra network identify priority facilitate decision-making precise quantitative manner. been Arribes del Duero Natural Park, stands as place where numerous values coexist, i.e., geological, geomorphological, edaphological, forming unique landscapes. With regard results obtained, quality classifies territory into four categories according its degree conservation: very high, low, low quality. risk identifies with greatest geological such erosion landslides, establishes limitations land use. Also, integrating both cartographies, it determined activities are compatible each zone, considering risks. Finally, concluded cartographies obtained efficient management, protecting environment, allowing controlled

Language: Английский

---

A GIS-Based Approach for Use Recommendations and Limitations in Sustainable Coastal Planning in the Southeastern Margin of the Ría de Arosa (Pontevedra, Spain)

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(8), P. 4582 - 4582

Published: April 21, 2025

The southeastern margin of the Ría de Arosa is a region great ecological and social importance, characterized by increasing urban development, tourism pressures, vulnerability to natural hazards, soil erosion, coastal flooding, mass movements, where sustainable territorial planning poses significant challenges. This study combines Geographic Information Systems tools quantitative qualitative overlay techniques integrate conservation quality comprehensive risk maps. main challenge addressed in this research integration geospatial data diverse factors. result was map land use recommendations limitations, another degree limitation, which identify priority areas for zones suitable controlled development recreational, agricultural, industrial activities. methodology employed allows detailed modelling that easily updated applicable other environments resource conservation. Areas special such as Island El Grove Peninsula, stand out optimal locations recreational activities, while northeastern corridor, between Villanueva Cambados, shows suitability anthropogenic development. approach contributes balance socioeconomic environmental protection, facilitating implementation strategies highly fragile areas.

Language: Английский

---

Evaluating Factors Affecting Flood Susceptibility in the Yangtze River Delta Using Machine Learning Methods

International Journal of Disaster Risk Science, Journal Year: 2024, Volume and Issue: 15(5), P. 738 - 753

Published: Oct. 1, 2024

Abstract Floods are widespread and dangerous natural hazards worldwide. It is essential to grasp the causes of floods mitigate their severe effects on people society. The key drivers flood susceptibility in rapidly urbanizing areas can vary depending specific context require further investigation. This research developed an index system comprising 10 indicators associated with factors environments that lead disasters, used machine learning methods assess susceptibility. core urban area Yangtze River Delta served as a case study. Four scenarios depicting separate combined climate change human activity were evaluated using data from various periods, measure spatial variability findings demonstrate extreme gradient boosting model outperformed decision tree, support vector machine, stacked models evaluating Both found act catalysts for flooding region. Areas increasing mainly distributed northwest southeast Taihu Lake. increased caused by significantly larger than those activity, indicating was dominant factor influencing By comparing relationship between susceptibility, rising intensity frequency precipitation well increase impervious surface identified important reasons heightened study emphasized significance formulating adaptive strategies enhance control capabilities cope changing environment.

Language: Английский

---

Risk assessment of goaf instability based on a variable weight model

Frontiers in Earth Science, Journal Year: 2024, Volume and Issue: 12

Published: Sept. 27, 2024

Goaf instability poses significant hazards, affecting mine safety and public welfare. This study aims to evaluate the risk of goaf enhance measures in mining operations. Thirteen key indicators were identified construct a comprehensive evaluation index system. By integrating game theory, we combined subjective objective weights develop constant weight model, which was subsequently improved by considering data distribution characteristics local variable model. The intervals determined through cumulative frequency analysis normalized factor indices, Monte Carlo method employed define adjustment parameters. Using cloud assessed goafs. Our results indicate that model provides higher accuracy compared offering clearer more distinguishable membership degrees for outcomes, suggesting its potential precise assessments

Language: Английский

---