Landslide susceptibility depends on various causal factors such as geology, land use/land cover (LULC), slope, and elevation. Unlike other that are relatively stable over time, LULC is a dynamic factor associated with human activities. This study evaluates the impact of change landslide in Rangamati municipality district, Bangladesh, based three scenarios—the existing (2018) LULC, proposed (proposed 2010, but not yet implemented), simulated 2028—using artificial neural network (ANN)-based...

In recent years, global warming has become a major driver of biodiversity loss, significantly impacting various vertebrate species, including mammals. Consequently, numerous smaller species face extinction risks due to anthropogenic factors as well inadequate assessments and conservation planning. Thus, this study focuses on two recently described endemic giant flying squirrel under the Petaurista genus—Petaurista mishmiensis mechukaensis—found in Arunachal Pradesh, India. Using an ensemble...

Abstract Changes in land cover are a major driving force behind habitat change, which significantly impacts the distribution of wildlife and ecological systems. However, there is substantial lack information on effects changes local conservation. Therefore, it essential to understand how may threaten future trends loss, especially protected areas. Landsat satellite imagery uses geographic system remote sensing techniques determine spatiotemporal pattern change its impact human–elephant...

This study evaluates and compares three machine learning models: K-Nearest Neighbour (KNN), Random Forest (RF) Extreme Gradient Boosting (XGBoost) for landslide susceptibility mapping part of areas in Rangamati District, Bangladesh. The performance these methods has been assessed by employing statistical such as the area under curve (AUC) success rate (SR) prediction (PR), Kappa index, Qs index Friedman's test. Results show that XGBoost had best with highest AUC both SR (95.27%) PR (90.63%),...

Abstract The primary purpose of this study is to find out and discuss the characteristics, causes, consequences landslides June 13, 2017, in Rangamati district Bangladesh. Since rainfall triggered landslides, debris flow accounts for 40.45% landslides. Most are small (mean 274. 2 m with a standard deviation 546.1 ). Size 62.30% was < 100 . probability density 50–100 highest increase size decreases. It indicates chance large (> 1000 ) low. Frequency ratio, logistic regression,...

Climate change has severely impacted many species, causing rapid declines or extinctions within their essential ecological niches. This deterioration is expected to worsen, particularly in remote high-altitude regions like the Himalayas, which are home diverse flora and fauna, including mountainous ungulates. Unfortunately, of these species lack adaptive strategies cope with novel climatic conditions. The Red Goral (Naemorhedus baileyi) a cliff-dwelling classified as “Vulnerable” by IUCN due...

Identifying the flooding risk hotspot is crucial for aiding a rapid response and prioritizes mitigation efforts over large disaster impacted regions. While climate change increasing of floods in many vulnerable regions world, commonly used crisis map inefficient cannot rapidly determine spatial variation intensity extension across affected areas. In such cases, Local Indicators Spatial Association (LISA) statistic can detect heterogeneity or at local scale beyond routine mapping. This area,...

Aim: The study evaluates the effect on growth-and related economic benefits of rearing commercially important food fish, Amur carp, Cyprinus carpio haematopterus fry, in a cage culture system, influenced by stocking densities. Methodology: A 90 day long experiment was conducted seasonally opened ecologically sensitive floodplain wetland Brahmaputra riverine system at Jaluguti Beel. Floating cages 6×4×2 m with an effective volume 40 m-3 were used for fish. Experimental fish (n = 10800)...

The Covid-19 has presented an unprecedented challenge to public health worldwide. However, residents in different countries showed diverse levels of awareness during the outbreak and suffered from uneven impacts. This study analyzed global Twitter data January 1st June 30th, 2020, answer two research questions. What are linguistic geographical disparities period reflected on social media? Does significant association exist between changing pandemic outbreak? We established a mining framework...

The study evaluates the impacts of flash flood (especially 2017 massive flood) and explores prevailing adaptation strategies taken by haor inhabitants to subdue impact. Primary data were collected through field visit, questionnaire survey, FGD KII. A purposive random sampling method was applied for selecting 350 households from 10villages located in around Tanguar Haor. low-lying areas are extremely vulnerable flood. Their coping mechanism has been strictly curved a number social, economic,...

The COVID-19 pandemic that emerged in 2020 has caused significant health crises worldwide. Countries and regions around the globe have practiced different policies to contain pandemic. One commonly adopted strategy is Zero-COVID policy, comprising two phases: an initial suppression phase, typically enforced through lockdowns, followed by a sustained containment phase. However, sudden strict lockdown phase would inevitably bring unexpected challenges vulnerable populations. There need...

Blumea lacera (B. lacera) is a herbaceous plant commonly found in south-east Asia. It shows significant therapeutic activities against various diseases. The objectives of this study were to evaluate hepatoprotective effects leaf extract and also investigate the comparative effectiveness between liposomal preparation suspension B. carbon tetrachloride (CCl4)-induced liver damage.B. was characterized using GC-MS method. A developed an ethanol injection method dynamic light scattering (DLS)...

Coastal areas serve as a vital interface between the land and sea or ocean host about 40% of world’s population, providing significant social, economic, ecological functions. Meanwhile, sea-level rise caused by climate change, along with coastal erosion accretion, alters landscapes profoundly, threatening sustainability. For instance, Mississippi River Delta in Louisiana is one most vulnerable areas. It faces severe long-term loss that has disrupted regional ecosystem balance during past few...

This paper analyzes the contribution of Mustafa Lutfi al-Manfaluti to Arabic short story. Al-Manfaluti was a distinguished litterateur early 20 th century.He had far greater influence his day than writers on subject have given him credit for.An attempt has been made in this deal with work "Al-Abarat".

In an era of increased climatic disasters, there is urgent need to develop reliable frameworks and tools for evaluating improving community resilience hazards at multiple geographical temporal scales. Defining quantifying in the social domain relatively subjective due intricate interplay socioeconomic factors with disaster resilience. Meanwhile, a lack computationally rigorous, user-friendly that can support customized assessment considering local conditions. This study aims address these...

The COVID-19 pandemic has changed human life. To mitigate the pandemic's impacts, different regions implemented various policies to contain and residents showed diverse responses. These responses in turn shaped uneven spatial-temporal spread of COVID-19. Consequently, human-pandemic interaction is complex, dynamic, interconnected. Delineating reciprocal effects between society imperative for mitigating risks from future epidemics. Geospatial big data acquired through mobile applications...

The rapid development of information and communications technology has turned individuals into sensors, fostering the growth human-generated geospatial big data. In disaster management, data, mainly social media have opened new avenues for observing human responses to disasters in near real-time. Previous research relies on geographical geotags, content, user profiles locate messages. However, less than 1% users geotag their messages, leaving geolocating through or message content addresses...