Natural Hazards, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 16, 2024
Language: Английский
Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102592 - 102592
Published: April 9, 2024
This study delves into the heterogeneity of total soil potassium (TSK) in Northwestern Himalayas (NWH) region by employing standard and geostatistical methods on surface soils (0–20 cm) randomly collected from various land use systems. research aims to unveil spatial dynamics TSK challenging context NWH region, unravelling connections between levels, practices, properties. The findings this are instrumental for sustainable agriculture ecological resilience region. results work reveal that levels different types were significantly order: horticulture (13.76 g/kg) > agricultural (11.25 forest (7.38 fallow (4.72 g/kg), which is clearly associated with K application rates. stepwise multiple regression analysis provides a significant correlation organic matter, clay, other fine-grained particles. Spatially, nugget ratios exhibit an apparent decrease correlated types, mixed. Among Gaussian, exponential, linear, spherical models considered, linear model yields best fit. isotropy optimization vary based type. role very important modelling predicting status at scientific industrial scale, ensuring relevance applicability such insights global audiences policymakers. novel contribution science, direct implications management practices fragile agroecological regions beyond geographical boundaries.
Language: Английский
Citations
6
Geomatics, Journal Year: 2025, Volume and Issue: 5(1), P. 5 - 5
Published: Jan. 20, 2025
This article presents the application of novel cartographic methods vegetation mapping with a case study Rif Mountains, northern Morocco. The area is notable for varied geomorphology and diverse landscapes. methodology includes ML modules GRASS GIS ‘r.learn.train’, ‘r.learn.predict’, ‘r.random’ algorithms supervised classification implemented from Scikit-Learn libraries Python. approach provides platform processing spatiotemporal data satellite image analysis. objective to determine robustness “DecisionTreeClassifier” “ExtraTreesClassifier” algorithms. time series images covering Morocco consists six Landsat scenes 2023 bimonthly interval. Land cover maps are produced based on processed, classified, analyzed images. results demonstrated seasonal changes in land types. validation was performed using dataset Food Agriculture Organization (FAO). contributes environmental monitoring North Africa processing. Using RS combined powerful functionality FAO-derived datasets, topographic variability, moderate-scale habitat heterogeneity, distribution types have been assessed first time.
Language: Английский
Citations
0
E3S Web of Conferences, Journal Year: 2025, Volume and Issue: 607, P. 04021 - 04021
Published: Jan. 1, 2025
The Tizi N’Isly basin, located between the Central High Atlas and Middle of Morocco, features a complex geological seismic profile. This study aims to precisely identify areas vulnerability, zones, regions exhibiting amplification. is known for its activity, with notable earthquake magnitude 6.8 occurring on September 8, 2023, at depth 10 km, attributed an unidentified fault. event, followed by significant aftershocks, represents most substantial activity in Morocco since 1960 Agadir (magnitude 5.9). Our research combines mapping, lineament extraction from satellite imagery, analysis understand surface subsurface geology tectonics. Processed images enhance features, facilitating identification faults fractures. Geostatistical meso-Cenozoic terrain fracturing reveals that lineaments predominantly align NNE-SSW NE-SW directions, additional minor fracture directions. observed closely linked within this zone, highlighting regional weaknesses.
Language: Английский
Citations
0
Open Geosciences, Journal Year: 2025, Volume and Issue: 17(1)
Published: Jan. 1, 2025
Abstract Effective management of watershed risks and landslides necessitates comprehensive landslide susceptibility mapping. Support vector machine (SVM) random forest (RF) learning models were used to map the in Morocco’s Taounate Province. Detailed inventory maps generated based on aerial pictures, field research, geotechnical survey reports. Factor correlation analysis carefully eliminated redundant factors from original 14 triggering factors. As a result, 30% sites randomly chosen for testing, whereas 70% locations picked model training. The RF achieved an area under curve (AUC) 94.7%, categorizing 30.07% region as low susceptibility, while SVM reached AUC 80.65%, indicating high sensitivity 53.5% locations. These results provide crucial information local authorities, supporting sound catchment planning development strategies.
Language: Английский
Citations
0
Journal of African Earth Sciences, Journal Year: 2024, Volume and Issue: 218, P. 105361 - 105361
Published: July 27, 2024
Landslides are a significant global risk due to their impact on nature, society, and the economy. The Al Hoceima-Ajdir region is highly susceptible geohazards such as earthquakes ground instabilities caused by local tectonic movements specific climatic geomorphological conditions. This study aims assess landslide susceptibility in using digital mapping approach that integrates geostatistical Frequency Ratio tool, geomatic tools, field observations. frequency ratio method, widely used technique geospatial analysis, evaluates relative of landslides based spatial distribution conditioning factors slope, lithology land use – cover. method calculates within classes these respective frequencies entire area. research introduces novel map highlighting major threats several natural touristic sites crucial region's socio-economic activities. was developed analyzing 40 historical along various predisposing factors, including topographic, geo-hydrological, anthropogenic parameters. results identify areas prone classify into five levels ranging from very high low, with each level indicating different degree requiring set preventive measures. reliability this evaluated Receiver Operating Characteristics (ROC) demonstrating accuracy 89%, further validated visits. high-precision for pre- post-risk management, enhancing prevention mitigation strategies. It also protects economy, environment providing reliable regional planning hazard management tool. findings offer advancement methodology assessment present model can be adapted other regions facing similar geohazards. underscores importance integrating tools data produce accurate actionable maps, benefitting scientific community improving prediction
Language: Английский
Citations
3
SSRN Electronic Journal, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 1, 2025
Language: Английский
Citations
0
International Journal of Earth Sciences, Journal Year: 2025, Volume and Issue: unknown
Published: May 5, 2025
Language: Английский
Citations
0
Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)
Published: May 6, 2025
Language: Английский
Citations
0
The Journal Agriculture and Forestry, Journal Year: 2024, Volume and Issue: 70(2)
Published: June 30, 2024
Morocco's sustainable water resource management is critical for its development, particularly in the water-rich Loukkos Hydraulic Basin.However, climate change projections indicate impending impacts, necessitating integrated planning.This study analyzes precipitation, temperature, and runoff data from 1950-2000 to establish comprehensive datasets, including mean areal precipitation (MAP) temperature (MAT).Seasonal annual regression equations linking MAP MAT were developed, yielding historical series (Qbaseline).Insights gained are pivotal adaptive amidst change.
Language: Английский
Citations
0
Natural Hazards, Journal Year: 2024, Volume and Issue: unknown
Published: Sept. 16, 2024
Language: Английский
Citations
0