Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)
Published: Dec. 14, 2024
Language: Английский
Quaternary Science Advances, Journal Year: 2024, Volume and Issue: 15, P. 100217 - 100217
Published: July 9, 2024
Landslides account for the breakdown of natural topographies, impacting many mountainous areas and leading to loss lives damaged infrastructure. This research aims generate a reliable landslide susceptibility zonation map employing geospatial Analytical Hierarchy Processes (AHP) in Addi Arkay Woreda, North Gondar Zone, Amhara Regional State, northern Ethiopia. The present study uses remote sensing data, geographic information system (GIS) tools, AHP, weighted linear combination (WLC) models analyze multiple environmental variables, including slope, aspect, curvature, lithology, soil texture, topographic wetness index (TWI), rainfall. As per results, around 186.12 km2 (13.26%) total area is under very high 140.85 (10.05%) low susceptibility. Using Google Earth images inaccessible areas, 121 inventories were identified through fieldwork. Of these inventories, 85 used train model 36 testing. performance AHP was validated by Receiver Operating Characteristics (ROC) curve (0.75), which indicates good predictive accuracy identifying landslide-prone areas. These findings are essential regional land use planning, hazard mitigation, prevention efforts. Additionally, this contributes scientific understanding dynamics Northwestern highlands Ethiopia offers methodological framework that can be applied other regions with similar geological climatic conditions.
Language: Английский
Citations
9
Journal of Spatial Science, Journal Year: 2024, Volume and Issue: 69(3), P. 963 - 993
Published: April 15, 2024
Landslides in the state of Mizoram result damage to life and properties annually. The study focuses on landslide susceptibility zones by frequency ratio (FR), evidential belief function (EBF) index entropy (IOE) models. A total 1,486 points were used build a relationship between 16 factors occurrences. results reveal 14.44%, 19.64% 3.55% area as very high susceptible FR, EBF IOE models, respectively. AUC support adoption model land use planning decision-making processes enhance natural resource management mitigate risks Mizoram.
Language: Английский
Citations
8
Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103205 - 103205
Published: Oct. 1, 2024
Language: Английский
Citations
5
Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(4)
Published: March 13, 2025
The Everglades Agricultural Area (EAA) in South Florida (USA) is a recognized source of total phosphorus (TP) that has impacted downstream oligotrophic marshes. Treatment wetlands, called stormwater treatment areas (STAs), were constructed and subsequently expanded to remediate EAA-derived TP, ideally yielding long-term outflow concentrations the Protection (EvPA) 13 µg/L TP or less. To date, TP-remediation been insufficient relative loads discharged from some EAA basins. We assessed 20 years basin-level farm-level concentration data with goal understanding trends over time identifying hot spots. Using monitoring water year (WY) 2000 through WY 2019, farms averaged 74.68 ± 38.87 was as high 269.38 µg/L. identified spatial temporal variations concentration, farm outflow, load, flow-weighted mean farms. basins showed presence decreasing trend between 2012 increasing for more recent period 2010 2019. nine-parameter Analytic Hierarchy Process (AHP), we observed 31% posed above-average pollution risk, including 22 S-5A 17 S-6 These spot are primary candidate sites targeted interventions aimed at reducing runoff, alleviating burden on STAs, offsetting trend.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: April 10, 2025
The study of susceptibility to geological hazards is crucial not only for local risk assessment but also understanding global patterns in disaster-prone regions. Geological such as landslides and subsidence are a common threat worldwide, affecting millions people causing significant economic losses annually. Landslides major hazard the Tongling City, Tongguan District, Anhui, China, posing risks infrastructure human activity. This assesses using seven influencing factors, including elevation, slope, aspect, distance faults. Both information value certainty factor (CF) models were applied evaluate region's landslide susceptibility, resulting classification area into five levels. While primary focus, ground collapses observed, though much lesser extent. focuses on interest District. found that: (1) predominantly concentrated within 300 m faults along cut slopes adjacent mountain roads buildings. distribution indicates that both construction activities factors contributing frequent occurrence region; (2) proportion classified high-prone City significant, indicating need focused mitigation efforts. (3) CF can effectively region. under curve (AUC) receiver operating characteristic (ROC) curves used models' performance, with model demonstrating superior evaluation accuracy. emphasizes areas District susceptible landslides, offering critical insights strategies decision-making prevention, treatment, emergency response regions similar conditions.
Language: Английский
Citations
0
Renewable Energy, Journal Year: 2024, Volume and Issue: unknown, P. 122175 - 122175
Published: Dec. 1, 2024
Language: Английский
Citations
2
Natural Hazards, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 12, 2024
Language: Английский
Citations
1
Earth Science Informatics, Journal Year: 2024, Volume and Issue: 18(1)
Published: Dec. 14, 2024
Language: Английский
Citations
1