Scopus Index (2025)
Disaster Advances (ISSN:0974-262X)
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) .
Submission Dateline
( Vol 18 , Issue 05 ) | 26 Oct 2025
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Publication Date
( Vol 18 , Issue 05 ) | 31 Oct 2025
Aim And Scopes
Disaster Advances (ISSN:0974-262X)
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1. Social Sciences: Geography, Planning and Development
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2. Engineering: Safety, Risk, Reliability and Quality
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3. Environmental Science: Environmental Science (miscellaneous)
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4. Earth and Planetary Sciences: Earth and Planetary Sciences (miscellaneous)
Latest Journal Here
Disaster Advances (ISSN:0974-262X)
Examining the potential role of constellation in natural hazard management
The concept and potential role of constellation such as the position of stars, has not been rigorously examined yet in the field of natural hazard management. The goal of this study was to comprehensively study the potential role of constellation on the occurrence of natural hazards. Qualitative content analysis was the major methodology utilized in the comparison of constellation as an unrelia
read moreAssessment and mapping of noise pollution using Geographic information system in Tiruchirapalli city
Noise pollution is one of the most common environmental hazards encountered in everyday life. The goal of this study was to assess the quantity of noise in the Ponmalai region of Tiruchirappalli city in southern India and then to use geographic information systems (GIS) to develop a visualization based on the data. The areas were classified into three categories: silent, residential and commerc
read moreDependence Modeling for Tsunami and Earthquake Disasters in the Indonesian Megathrust Zones using Copula Models
The megathrust earthquake parameters that are related to the number of tsunami disasters (π) are the number of earthquakes (π) and the maximum earthquake magnitude (π). The dependence property of these three random variables is stochastic due to the uncertainty of each event. This study provides the stochastic dependence model of (π, π) and (π, π) based on the historical da
read moreAnalyzing Current Trends and forecasting Snow Cover Dynamics: A Multi-Data Approach utilizing Satellite Data, ERA5 and SSP Scenarios for Enhanced Disaster Preparedness
The Indus Himalayan region, characterized by its challenging mountainous terrain, presents obstacles for ground observations. This study aims to investigate variations in Snow Cover Area (SCA) and its relationship with other climatic variables. We utilized MODIS snow cover, temperature, ECMWF ERA-5 and SRTM elevation products to assess present trends (2002-2023) and CMIP6 SSP scenarios (SSP1-2.
read moreComparative Analysis of Machine Learning Models and Hybrid Ensemble Approachβs for Landslide Prediction
The NH-44 Jammu Srinagar National Highway in India is susceptible to landslides, rock falls and shooting stones due to its geological characteristics and steep slopes. This study aims to compare the performance of various Machine Learning (ML) algorithms and hybrid models in predicting landslides using historical data. Seven optimized ML approaches Support Vector Classifier (SVC), Logistic Regr
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