The 2004 Indian Ocean earthquake and tsunami significantly impacted the coastal shoreline of the Andaman and Nicobar Islands, causing widespread destruction of infrastructure and ecological damage. This study aims to analyze the short- and long-term shoreline changes in South Andaman, focusing on 2004–2005 (pre- and post-tsunami) and 1990–2023 (to assess periodic changes). Using remote sensing techniques and geospatial tools such as the Digital Shoreline Analysis System (DSAS), shoreline change rates were calculated in four zones, revealing the extent of the tsunami’s impact. During the pre- and post-tsunami periods, the maximum coastal erosion rate was −410.55 m/year, while the maximum accretion was 359.07 m/year in zone A, the island’s east side. For the 1990–2023 period, the most significant coastal shoreline erosion rate was also recorded in zone A, which was recorded at −2.3 m/year. After analyzing the result, it can be seen that the tsunami severely affected the island’s east side. To validate the coastal shoreline measurements, the root mean square error (RMSE) of Landsat-7 and Google Earth was 18.53 m, enabling comparisons of the accuracy of different models on the same dataset. The results demonstrate the extensive impact of the 2004 Indian Ocean Tsunami on South Andaman’s coastal shoreline and the value of analyzing shoreline changes to understand the short- and long-term consequences of such events on coastal ecosystems. This information can inform conservation efforts, management strategies, and disaster response plans to mitigate future damage and allocate resources more efficiently. By better understanding the impact of tsunamis on coastal shorelines, emergency responders, government agencies, and conservationists can develop more effective strategies to protect these fragile ecosystems and the communities that rely on them.

Illegal sand mining has been identified as a significant cause of harm to riverbanks, as it leads to excessive removal of sand from rivers and negatively impacts river shorelines. This investigation aimed to identify instances of shoreline erosion and accretion at illegal sand mining sites along the Chambal River. These sites were selected based on a report submitted by the Director of the National Chambal Sanctuary (NCS) to the National Green Tribunal (NGT) of India. The digital shoreline analysis system (DSAS v5.1) was used during the elapsed period from 1990 to 2020. Three statistical parameters used in DSAS—the shoreline change envelope (SCE), endpoint rate (EPR), and net shoreline movement (NSM)—quantify the rates of shoreline changes in the form of erosion and accretion patterns. To carry out this study, Landsat imagery data (T.M., ETM+, and OLI) and Sentinel-2A/MSI from 1990 to 2020 were used to analyze river shoreline erosion and accretion. The normalized difference water index (NDWI) and modified normalized difference water index (MNDWI) were used to detect riverbanks in satellite images. The investigation results indicated that erosion was observed at all illegal mining sites, with the highest erosion rate of 1.26 m/year at the Sewarpali site. On the other hand, the highest accretion was identified at the Chandilpura site, with a rate of 0.63 m/year. We observed significant changes in river shorelines at illegal mining and unmined sites. Erosion and accretion at unmined sites are recorded at −0.18 m/year and 0.19 m/year, respectively, which are minor compared to mining sites. This study’s findings on the effects of illegal sand mining on river shorelines will be helpful in the sustainable management and conservation of river ecosystems. These results can also help to develop and implement river sand mining policies that protect river ecosystems from the long-term effects of illegal sand mining.

India is confronted with the substantial issue of plastic debris due to the absence of an efficient waste management infrastructure. Recycled plastic has the potential to enhance various construction materials, such as roofing tiles, paving blocks, and insulation. The aforementioned materials possess notable attributes such as high strength, low weight, and exceptional resistance to extreme temperatures and humidity. The objective of this study is to ascertain feasible alternatives for manufacturing road paver blocks utilizing plastic waste (Polyethene terephthalate (PET)), and M-sand (stone dust). Three variations of a discarded plastic cube measuring 150 mm × 150 mm × 150 mm were prepared for the experiment. The experimental findings indicated that a ratio of 1:4 was determined to be the most effective in achieving the desired level of compressive strength. I-section road and brick paver blocks were produced as an alternative to the traditional concrete ones. Compressive strength tests were performed on I-sections and brick paver blocks, revealing that the 1:4 mix ratio exhibited the highest average compressive strength for both materials. The findings indicated that including plastic waste positively impacted the compressive strength of the I-sections and brick paver blocks. Additionally, the quality grading of these materials was evaluated using an ultrasonic pulse velocity test. The ultrasonic pulse velocity test results demonstrated a high-quality grading for the I-sections and brick paver blocks. Scanning electron microscopy (SEM) tests assessed the microstructural behavior and performance. The results of this study demonstrate that incorporating plastic waste in combination with M-sand can effectively improve the mechanical characteristics of composite materials, rendering them viable for use in construction-related purposes.

Rainfall is one of the key climatic variables that affect the spatial and temporal patterns of water availability. One of the challenges posed by climate change is identification and quantification of extreme precipitation events. This study aims to analyse the extreme precipitation events for historical (1971–2000), near-future (NF) (2021–2050) and far-future (FF) (2070–2099) over Rajasthan. Non-parametric tests (Mann–Kendall [MK] test, modified MK and Sen’s slope estimator) are used for trend analysis. The precipitation extreme indices R50, R25, R99p and R95p were used to calculate the extreme events based on historical and future outputs of regional climate models (RCMs) REMO 2009 (driving global climate model [GCM] ‘MPI-ESM-LR’) and RegCM4 (driving GCM ‘CCCma-CanESM2’) from Coordinated Regional Downscaling Experiment (CORDEX). The performances of both RCMs were evaluated against observed (Indian Meteorological Department [IMD]) daily precipitation data. The observed historical (IMD) data show that R99p threshold values are slightly overestimated by REMO 2009 and underestimated by RegCM4. The indices R25 and R95p simulated by REMO 2009 show a significant decreasing trend in FF of RCP8.5 scenario. Overall REMO 2009 performed better in simulating the key features of the spatial distribution of R95p (R99p) threshold and annual average frequency of R25 (R50) in historical period as compared to RegCM4. Abbreviations: NF: Near-future; FF: Far-future; MK: Mann-Kendall; RCM: Regional climate model; GCM: Global climate model; EPT: Extreme precipitation threshold; IMD: Indian Meteorological Department; CORDEX: Coordinated Regional Climate Downscaling Experiment

Hemoptysis is considered as a medical emergency which requires urgent stabilization with identification and correction of underlying etiology. Diagnosis of the cause of hemoptysis is not always readily identified after bronchoscopy and conventional computed tomography (CT) chest. Arteriovenous malformation (AVM) is a rare but important cause of massive hemoptysis which can be easily picked up by the use of double turn contrast CT chest. We here report a rare congenital AVM anomaly called Klippel-Trenaunay-Parks-Weber syndrome as a cause of massive hemoptysis and utility of double turn CT in diagnosing AVM as a cause of hemoptysis.

With global temperatures steadily rising, understanding the impacts of warming on regional climates has become crucial, particularly for countries like India, where climate sensitivity has significant socio-economic implications. This study assesses the trends and spatial distribution of summer days across India under different warming targets (1.5 °C, 2 °C, 2.5 °C, 3 °C, 3.5 °C, 4 °C, 4.5 °C, and 5 °C) and emission scenarios (RCP4.5 and RCP8.5). A Multi-Model Ensemble (MME) approach, combining five best-performing CORDEX-SA experiments, was utilized to analyze projected summer days in India. Non-parametric trend analysis techniques—such as the Mann–Kendall test, Modified Mann–Kendall, Sen’s Slope estimator, and Pettitt test—were used to investigate temporal patterns, and Reliability Ensemble Averaging (REA) was applied for uncertainty analysis to ensure robust projections. The results indicate that summer days are expected to increase significantly across India under both RCP scenarios, with the highest increases projected for northeastern regions and north-central regions of India. This study underscores the pressing need for region-specific adaptation strategies to manage extended periods of extreme temperatures and safeguard public health, agriculture, and socio-economic stability.