GNSS TEC and Swarm Satellites for the detection of Ionospheric Anomalies Possibly associated with 2018 Alaska Earthquake DOI Creative Commons
Zeeshan Haider, Jianguo Yan,

Rasim Shahzad

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Nov. 21, 2023

Abstract In the hunt for seismic precursors with GNSS to detect earthquake-related anomalies in ionosphere are proved as an effective strategy. One method is use TEC distinguish between and induced by geo magnetic storm. this study, data of four sites near epicenter November 30, 2018, Alaska earthquake (Mw 7.1) examined. We also examined from Swarm satellites during local day nighttime further support EQ-induced perturbations ionosphere. six days before major EQ, stations' displayed considerable disturbance positive crossing upper bound. The stations EQ detected 1 6 prior EQ. swarm confirmed these findings. On other hand, retrieving all preparation phase weak storm (Kp 4, Dst − 50 nT), we discover evidence low-intensity 25–30 shock. Further research shows that UTC 17:30 23:00 storm-induced anomaly (caused = -50 nT Kp 4) predominates 17:00 23:30. phase, primary shock helpful separating geomagnetic anomalies. Additionally, using monitoring, work contributes growing lithosphere-ionosphere connection concept.

Language: Английский

Environmental degradation of vegetation cover and water bodies in the semiarid region of the Brazilian Northeast via cloud geoprocessing techniques applied to orbital data DOI Creative Commons
Jhon Lennon Bezerra da Silva,

Geber Barbosa de Albuquerque Moura,

Marcos Vinícius da Silva

et al.

Journal of South American Earth Sciences, Journal Year: 2022, Volume and Issue: 121, P. 104164 - 104164

Published: Dec. 20, 2022

Language: Английский

Citations

30
Ionospheric–Thermospheric Responses to Geomagnetic Storms from Multi-Instrument Space Weather Data DOI Creative Commons

Rasim Shahzad,

Munawar Shah, M. Arslan Tariq

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(10), P. 2687 - 2687

Published: May 22, 2023

We analyze vertical total electron content (vTEC) variations from the Global Navigation Satellite System (GNSS) at different latitudes in continents of world during geomagnetic storms June 2015, August 2018, and November 2021. The resulting ionospheric perturbations low mid-latitudes are investigated terms prompt penetration electric field (PPEF), equatorial electrojet (EEJ), magnetic H component INTERMAGNET stations near equator. East Southeast Asia, Russia, Oceania exhibited positive vTEC disturbances, while South American showed negative disturbances all storms. also analyzed Swarm satellites found similar results to retrieved data 2015 2018 Moreover, we observed that plasma tended increase rapidly local afternoon main phase has opposite behavior nighttime. ionization anomaly (EIA) crest expansion higher is driven by PPEF daytime recovery phases exhibits longitudinal along with EEJ enhancement

Language: Английский

Citations

17
Atmospheric Anomalies Associated with the 2021 Mw 7.2 Haiti Earthquake Using Machine Learning from Multiple Satellites DOI Open Access
Muhammad Muzamil Khan, Bushra Ghaffar,

Rasim Shahzad

et al.

Sustainability, Journal Year: 2022, Volume and Issue: 14(22), P. 14782 - 14782

Published: Nov. 9, 2022

The remote sensing-based Earth satellites has become a beneficial instrument for the monitoring of natural hazards. This study includes multi-sensors analysis to estimate spatial-temporal variations atmospheric parameters as precursory signals Mw 7.2 Haiti Earthquake (EQ). We studied EQ anomalies in Land Surface Temperature (LST), Air (AT), Relative Humidity (RH), Pressure (AP), and Outgoing Longwave Radiation (OLR). Moreover, we found EQ-associated abnormalities time window 3–10 days before main shock by different methods (e.g., statistical, wavelet transformation, deep learning, Machine Learning (ML)-based neural networks). observed sharp decrease RH AP shock, followed an immense enhancement AT. Similarly, also LST OLR around seismic preparation region within EQ, which validates behavior all parameters. These multiple-parameter irregularities can contribute with physical understanding Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) future order forecast EQs.

Language: Английский

Citations

23
Morphometric characterization and land use of the Pajeú river basin in the Brazilian semi-arid region DOI
José Raliuson Inácio Silva, Abelardo Antônio de Assunção Montenegro, Carolyne Wanessa Lins de Andrade Farias

et al.

Journal of South American Earth Sciences, Journal Year: 2022, Volume and Issue: 118, P. 103939 - 103939

Published: July 19, 2022

Language: Английский

Citations

17
Compound dry and hot extremes and their implications for fire activity over the Orinoco River Basin in northern South America DOI Creative Commons
Paola A. Arias,

Alejandra Fernández-Berrío,

Valeria Bedoya-Pineda

et al.

Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(4)

Published: March 28, 2025

Language: Английский

Citations

0
Forging a Sustainable Future in G20 Economies: The Transformative Role of Technological Innovation, Green Finance and Higher Education Amid Globalization and Entrepreneurial Growth DOI Open Access

Meng Pei,

Riya Tabish

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3321 - 3321

Published: April 8, 2025

Environmental degradation poses a significant global challenge which necessitates innovative strategies to achieve sustainability. This study investigates the impact of technological innovation (TCN), higher education (EDU), green finance (GRF), globalization (GLI), and entrepreneurship (ENT) on environmental quality (EQ) in G20 countries. The uses panel data from 2000 2020 investigate relationships between variables. Among various diagnostic tests conducted, Variance Inflation Factor (VIF) confirms that multicollinearity is not present. Furthermore, cross-sectional dependence (CSD) test identifies interdependence among Moreover, slope homogeneity (SL) indicates heterogeneity data. For stationarity check, Cross-Sectional Augmented Im–Pesaran–Shin (CIPS) mixed results. Finally, Cross-Sectionally Autoregressive Distributed Lag (CS-ARDL) Generalized Method Moments (GMM) for long- short-run analysis outcomes CS-ARDL indicate GLI has negative EQ, hence causing deterioration economies. On other hand, TCN, EDU, GRF, ENT show positive impacts therefore enhancing outcomes. Additionally, Dumitrescu–Hurlin causality reveals bidirectional causality, highlights interconnected relationship TCN with EQ. However, demonstrate unidirectional takeaway focuses importance policies promoting innovation, resource efficiency, sustainable practices advance within

Language: Английский

Citations

0
SPATIAL-TEMPORAL ANALYSIS OF VEGETATION COVER AND SOIL DEGRADATION FROM LANDSAT TIME-SERIES – A CASE STUDY IN THE CAATINGA, BRAZIL DOI
Sérvio Túlio Pereira Justino, Enzo Antonio Lecciolle Paganini, Rafael Barroca Silva

et al.

Journal of South American Earth Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 105528 - 105528

Published: April 1, 2025

Language: Английский

Citations

0
Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques DOI Creative Commons
Washington Franca-Rocha, Rodrigo Nogueira de Vasconcelos, Soltan Galano Duverger

et al.

Fire, Journal Year: 2024, Volume and Issue: 7(12), P. 437 - 437

Published: Nov. 27, 2024

The semi-arid Caatinga biome is particularly susceptible to fire dynamics. Periodic droughts amplify risks, while anthropogenic activities such as agriculture, pasture expansion, and land-clearing significantly contribute the prevalence of fires. This research aims evaluate effectiveness a detection model analyze spatial temporal patterns burned areas, providing essential insights for management prevention strategies. Utilizing deep neural network (DNN) models, we mapped areas across from 1985 2023, based on Landsat-derived annual quality mosaics minimum NBR values. Over 38-year period, classified 10.9 Mha (12.7% Caatinga) burned, with an average area approximately 0.5 (0.56%). peak reached 0.89 in 2021. Fire scars varied significantly, ranging 0.18 substantial fluctuations subsequent years. most affected vegetation type was savanna, 9.8 forests experienced only 0.28 burning. October emerged month highest activity, accounting 7266 hectares. These findings underscore complex interplay climatic factors, highlighting urgent need effective

Language: Английский

Citations

3
Machine Learning Model Reveals Land Use and Climate’s Role in Caatinga Wildfires: Present and Future Scenarios DOI Creative Commons
Rodrigo Nogueira de Vasconcelos, Mariana Martins Medeiros de Santana, Diego P. Costa

et al.

Fire, Journal Year: 2024, Volume and Issue: 8(1), P. 8 - 8

Published: Dec. 26, 2024

Wildfires significantly impact ecosystems, economies, and biodiversity, particularly in fire-prone regions like the Caatinga biome Northeastern Brazil. This study integrates machine learning with climate land use data to model current future fire dynamics Caatinga. Using MaxEnt, probability maps were generated based on historical scars from Landsat imagery environmental predictors, including bioclimatic variables human influences. Future projections under SSP1-2.6 (low-emission) SSP5-8.5 (high-emission) scenarios also analyzed. The baseline achieved an AUC of 0.825, indicating a strong predictive performance. Key drivers risk included mean temperature driest quarter (with importance 14.1%) isothermality (12.5%). Temperature-related factors more influential than precipitation, which played secondary role shaping dynamics. Anthropogenic factors, such as proximity farming urban areas, contributed susceptibility. Under optimistic scenario, low-fire-probability areas expanded 29.129 Mha, suggesting reduced mitigation. However, high-risk zones persisted Western pessimistic scenario projected alarming expansion very-high-risk 12.448 emphasizing vulnerability region severe conditions. These findings underline activities regimes. research should incorporate additional variables, vegetation recovery socio-economic refine predictions. provides critical insights for targeted management planning, promoting sustainable conservation changing climatic

Language: Английский

Citations

3
Atmospheric precursors from multiple satellites associated with the 2020 Mw 6.5 Idaho (USA) earthquake DOI Open Access
Muhammad Qasim, Munawar Shah,

Rasim Shahzad

et al.

Advances in Space Research, Journal Year: 2023, Volume and Issue: 73(1), P. 440 - 455

Published: Oct. 4, 2023

Language: Английский

Citations

7