Disaster Advances (ISSN:0974-262X) is a monthly peer-reviewed scopus-indexed journal from 2009 to present. The publisher of this journal is World Researchers Associations. Disaster Advances (ISSN:0974-262X) committed to gathering and disseminating excellent research achievements. The journal welcomes all types of Engineering journal includes Social Sciences: Geography, Planning and Development, Engineering: Safety, Risk, Reliability and Quality, Environmental Science: Environmental Science (miscellaneous), Earth and Planetary Sciences: Earth and Planetary Sciences (miscellaneous) .
( Vol 19 , Issue 02 ) | 20 May 2026
( Vol 19 , Issue 02 ) | 31 May 2026
1. Social Sciences: Geography, Planning and Development
2. Engineering: Safety, Risk, Reliability and Quality
3. Environmental Science: Environmental Science (miscellaneous)
4. Earth and Planetary Sciences: Earth and Planetary Sciences (miscellaneous)
In this study, a long-term time series of satellite observations (2005-2009) was used to investigate the occurrence frequency of internal waves in the East Vietnam Sea for different months. Satellite images in January, April, July and October of the period of 2005- 2009 were gathered with 30-meter resolution. Secondly, from the enhanced images, the traces of internal waves were digitized. Final
read moreThis research conducts a comprehensive seismic hazard analysis for Cuttack District, Odisha, India, utilizing both deterministic and probabilistic approaches within a 300 km radius of Cuttack city. An earthquake catalog, spanning from 1837 to 2022 AD, has been compiled and homogenized using local empirical relationships. The completeness of this catalog is assessed via the Cumulative Visual Ins
read moreEffective disaster risk management and urban planning require robust flood vulnerability assessment methodologies, particularly in regions susceptible to flooding. Ferozepur district, Punjab, confronts substantial challenges concerning flood risk, underscoring the necessity for a comprehensive vulnerability assessment approach. This study presents an exhaustive investigation into flood vulnerab
read moreThe primary aim of this study was to assess landslide susceptibility in the N'fis watershed by leveraging Geographic Information System (GIS) and remote sensing data. Three statistical models, namely frequency ratio (FR), information value (IV) and logistic regression (LR), were applied and compared. The process began with mapping an inventory of 156 landslides where 70% of the data served
read moreIn the present study, the HEC-RAS model is being used to study the effects of the peak floods at different cross- sections of Brahmaputra river for 10, 20, 50 and 100 years return period. For estimation of floods having 10, 20, 50 and 100 years return period, Gumbel’s extreme value distribution method has been used. Also, for the estimation of the flood havoc and to look into its effects,
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