Social Vulnerability and Climate Risk Assessment for Agricultural Communities in The United States DOI Creative Commons
Tuğkan Tanır, Enes Yıldırım, Celso M. Ferreira

и другие.

EarthArXiv (California Digital Library), Год журнала: 2023, Номер unknown

Опубликована: Авг. 18, 2023

Floods and droughts significantly affect agricultural activities pose a threat to food security by subsequently reducing production. The impact of flood events is distributed disproportionately among communities based on their socio-economic fabric. Understanding climate-related hazards critical for planning mitigation measures secure vulnerable communities. This research presents comprehensive risk evaluation methodology assessing the combined drought in United States. By integrating social vulnerability levels with exposure data, study identifies most individually, aiming provide significant insights into community continental U.S. addresses scientific gap through nationwide assessment, evaluating expected annual losses hazards, combining losses. analyses were conducted adapting datasets methodologies that are developed federal institutions such as FEMA, USACE, USDA. identified 30 socially counties assessed flooding, finding Mendocino, Sonoma, Humboldt, El Dorado, Fresno, Kern California had highest losses, Humboldt (CA) Montgomery (TX) having risk.

Язык: Английский

Is snow drought a messenger for the upcoming severe drought period? A case study in the Upper Mississippi River Basin DOI
Serhan Yeşilköy, Özlem Baydaroğlu, İbrahim Demir

и другие.

Atmospheric Research, Год журнала: 2024, Номер 309, С. 107553 - 107553

Опубликована: Июнь 27, 2024

Язык: Английский

Процитировано

12
Temporal and Spatial Satellite Data Augmentation for Deep Learning-Based Rainfall Nowcasting DOI Creative Commons
Özlem Baydaroğlu, İbrahim Demir

EarthArXiv (California Digital Library), Год журнала: 2023, Номер unknown

Опубликована: Окт. 3, 2023

Climate change has been associated with alterations in precipitation patterns and increased vulnerability to floods droughts. The need for improvements forecasting monitoring approaches become imperative due flash severe flooding. Rainfall prediction is a challenging but critical issue owing the complexity of atmospheric processes, spatial temporal variability rainfall, dependency this on several nonlinear factors. Because excessive rainfall cause natural disasters such as landslides, accurate real-time nowcast necessary precautions, control, planning. In study, nowcasting studied utilizing NASA Giovanni satellite-derived products convolutional long short-term memory (ConvLSTM) approach, which variation LSTM. Due data requirements deep learning-based methods, augmentation performed using interpolation techniques. study utilized three types data, including spatial, temporal, spatio-temporal interpolated conduct comparative analysis results obtained through rainfall. This research examines two catastrophic that transpired Türkiye Marmara Region 2009 Central Black Sea 2021, are selected focal case studies. It also explores suitability model various flood events, while examining impact nowcast.

Язык: Английский

Процитировано

2
Disaster management and its impact on sustainable agriculture DOI
Adeel Abbas, Rashida Hameed, Wajid Ali Khattak

и другие.

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 113 - 143

Опубликована: Окт. 11, 2024

Язык: Английский

Процитировано

0
Social Vulnerability and Climate Risk Assessment for Agricultural Communities in The United States DOI Creative Commons
Tuğkan Tanır, Enes Yıldırım, Celso M. Ferreira

и другие.

EarthArXiv (California Digital Library), Год журнала: 2023, Номер unknown

Опубликована: Авг. 18, 2023

Floods and droughts significantly affect agricultural activities pose a threat to food security by subsequently reducing production. The impact of flood events is distributed disproportionately among communities based on their socio-economic fabric. Understanding climate-related hazards critical for planning mitigation measures secure vulnerable communities. This research presents comprehensive risk evaluation methodology assessing the combined drought in United States. By integrating social vulnerability levels with exposure data, study identifies most individually, aiming provide significant insights into community continental U.S. addresses scientific gap through nationwide assessment, evaluating expected annual losses hazards, combining losses. analyses were conducted adapting datasets methodologies that are developed federal institutions such as FEMA, USACE, USDA. identified 30 socially counties assessed flooding, finding Mendocino, Sonoma, Humboldt, El Dorado, Fresno, Kern California had highest losses, Humboldt (CA) Montgomery (TX) having risk.

Язык: Английский

Процитировано

0