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

Aerosol optical depth over Northeastern Brazil: A multi-platform intercomparison study DOI
Gabriel Bonow Münchow,

Aline Macedo de Oliveira,

Ediclê de Souza Fernandes Duarte

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: 315, P. 107864 - 107864

Published: Dec. 9, 2024

Language: Английский

Citations

0
Multicriteria evaluation and remote sensing approach to identifying degraded soil areas in northwest Peru DOI Creative Commons
Marielita Arce-Inga,

Nilton Atalaya-Marin,

Elgar Barboza

et al.

Geocarto International, Journal Year: 2024, Volume and Issue: 40(1)

Published: Dec. 23, 2024

Soil is a vital nonrenewable resource characterized by rapid degradation and slow regeneration processes. In this study, soil in Jaén San Ignacio was assessed via multicriteria evaluation approach combined with remote sensing (RS) data. Nine factors were analyzed classified three categories: environmental, topographic, edaphological factors. The results revealed that the slope (59.07%) main influencing factor, followed land use cover (LULC) (56.36%). map 83.48% of area exhibited moderate degradation, 14.49% low 1.56% high degradation. districts Pomahuaca José de Lourdes demonstrated largest areas accounting for 13.71% 22.54%, respectively. Bellavista Huarango very 0.27% 0.08%, (AHP) method RS data employed to assess highlighting need sustainable restoration conservation strategies.

Language: Английский

Citations

0
Dinâmica dos Focos de Calor nas Mesorregiões Climáticas do Estado de Alagoas DOI Creative Commons
Valter Ramos de Sousa Filho, José Francisco de Oliveira‐Júnior, Heliofábio Barros Gomes

et al.

Revista Brasileira de Meteorologia, Journal Year: 2022, Volume and Issue: 37(3), P. 313 - 327

Published: Sept. 1, 2022

Resumo Os incêndios ocorrem devido às ações antrópicas e causam problemas socioambientais no Nordeste do Brasil (NEB). Portanto, este estudo avaliou a variabilidade espaço-temporal dos focos de calor (FC) nas três mesorregiões climáticas Alagoas: Sertão, Leste Agreste Alagoano. dados FC foram obtidos Banco Dados Queimadas (BDQueimadas) entre 1998-2020. A série temporal foi submetida análises estatísticas descritiva, exploratória multivariada aplicada aos 102 municípios alagoanos. Com base agrupamento hierárquico identificaram-se grupos homogêneos (G1, G2 G3) Sertão dois Alagoano (G1 G2). Alguns não formaram (NA), tais como: Belo Monte (26,83 ± 25,87 focos), Limoeiro Anadia (54,48 38,65 Penedo (262,83 183,80 focos) Coruripe (553 369,40 focos). interanual em Alagoas está associada com atividades agrícolas, desmatamento, novas áreas para criação animais colheita da cana-de-açúcar. Na avaliação espacial via densidade por município utilizou-se o período total (1998-2020) os anos destaque na (2012 2019). O maior registro encontra-se mesorregião se descarta que sejam influenciados pela ocorrência seca períodos estiagens Alagoas.

Citations

2
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

Citations

0