Ministry of Earth Sciences

Wild-harvested Marphysa madrasi for biosecure aquaculture: nutritional profiling, pathogen screening, and phylogenetic assessment

Abstract Polychaetes are widely used as high-value aquaculture feed, yet India continues to depend heavily on imported species despite the availability of locally abundant taxa. However, the nutritional potential, biosafety, and taxonomic clarity of indigenous polychaetes remain...

Assessing the skill of a biogeochemical model tailored to a global coupled forecasting system: a case study for the Bay of Bengal carbon cycle

To achieve real-time prediction of surface ocean carbonaceous variables in the Indian Ocean, we integrate an extended-range coupled forecast system with a global ocean biogeochemistry model incorporating an explicit carbon cycle. The physical ocean state is provided by the Indian...

Hydroclimatic controls on nearshore pollution and ecosystem stress along a tropical urban coastline

Urbanizing coasts face escalating pollution from anthropogenic sources and climate change. This study provides an integrated seasonal assessment of coastal water quality along the Visakhapatnam coast, India, using a multi-index framework combining the Canadian Council of Minister...

A Deep Learning Framework for Cetacean Detection: Integrating YOLOv11 With ADRIF Post‐Processing

ABSTRACT Cetaceans are widely regarded as sentinels of marine ecosystem health, yet their monitoring in the Indian Ocean remains challenging because conventional survey techniques often lack adequate spatial and temporal resolution. In this study, we developed and evaluated a dee...

Quantitative evaluation of vulnerability and resilience in Indian meteorological hazards using correlation, clustering, PCA, and random forest

Meteorological disasters in India impose multidimensional impacts that span human casualties and fiscal recovery gaps. This study applied an integrated framework combining correlation analysis, clustering, principal component analysis (PCA), composite indices, and Random Forest r...