The fatal novel coronavirus (COVID-19) pandemic disease smashes the normal tempo of global socio-economic and cultural livelihood. Most countries impose a lockdown system with social distancing measures to arrest rapid transmission this virus into human body. objective study is examine status air quality during pre-COVID-19 recommend some long-term sustainable environmental management plan. pollution data like PM

Garhwal Himalaya is the worst affected landslide prone region in Indian subcontinent mainly due to its complex geological settings and active tectonic activities. The data showed that every year, around 400 fatalities occur Himalayan terrain landslide. In current study, we have mapped susceptibility zones segment of using robust machine deep learning algorithms. Individual models own limitations like low generation capacity with nonlinear functions describe intricate relationship among...

Forest fires threaten to biodiversity, ecosystem productivity, multiple services, and it influences the emissions of large amounts greenhouse gases into atmosphere. This scientific study has been conducted at Ayodhya hill range dry deciduous forest Chota Nagpur plateau (India).The principal objectives this research are (1) measure terrestrial productivity by Vegetation Photosynthesis Model (VPM); (2) estimate (GHGs) emission through fire following IPCC guidelines; (3) quantify service value...

Floods are considered as one of nature's most destructive fluvio-hydrological extremes because the massive damage to agricultural land, roads and buildings human fatalities. Rapid development unplanned infrastructural conveniences anthropogenic activities, frequency intensity floods have been accelerated in recent years. Therefore, flood susceptibility analysis is an important management approach. Identification areas has performed by applying advanced machine learning (ML) algorithms...

Once, the entire Terai-Dooars region of Himalayan Foothills was enveloped by tropical and subtropical moist deciduous broadleaf forest. Multiple anthropogenic activities are responsible for large scale deforestation, forest habitat fragmentation biodiversity loss. The main objective this current research is to identify deforestation probable zones applying various multi-criteria decision analysis methods (AHP, TOPSIS VIKOR). advantages making determine consider suitable criteria expert's...

Abstract The Sundarban mangrove or tidal influenced natural ecosystem is extremely productive and providing multiple goods services to millions of people. In the last few decades, quality quantity are being deteriorated. main objectives this current research (i) investigate service values (ESVs) using a time series satellite data (1975, 2000 2020) different unit (ii) analyze dynamic pattern carbon sequestration through InVEST model (iii) determination ESVs change hotspots by Getis-Ord Gi *...

Abstract The global economic activities were completely stopped during COVID-19 lockdown and continuous partially brought some positive effects for the health of total environment. multiple industries, cities, towns rural people are depending on large tropical river Damodar (India) but in last few decades quality water is being significantly deteriorated. present study attempts to investigate (RWQ) particularly pre- lockdown, unlock period. We considered 20 variables per sample RWQ data it...

Abstract Forest is an imperative part of environment but in the recent years, forest areas are being transformed due to population expansion, unscientific urbanization and a rising trend industrialization some countries. Dense forests habitats have been fragmented into patch region. This paper attempts find out canopy or crown density fragmentation as well identify spatiotemporal changing paradigms within Silabati river basin. Canopy Density models important craftsmanship examine health...

Drought is a hydrological extreme and it brings negative consequences over environment, society livelihood. Globally, drought frequency magnitude being amplified due to natural as well anthropogenic causes. This scientific research attempts examine the severity, trend applying SPI SPEI indices in extended part of Chhota Nagpur Plateau (India) considering last 25 years period along with 3, 6, 9, 12 months time scale. Mann-Kendall test future prediction have also been done find out drought....

Kolkata is the third densely populated city of India and stands in World's 25 most polluted cities along with 10 worse India. The relevant study claims that due to imposition lockdown during COVID-19 pandemic, atmospheric pollution level has been significantly reduced over metropolitan like other world. main objective this predict concentration PM2.5 using multiple linear regression (MLR) artificial neural network (ANN) models similarly, compare accuracy two models. data obtained from state...

Abstract Scarcity of groundwater is a severe problem in this region due to over exploitation from unconfined hard rock aquifers. The main objectives study are analyse the spatiotemporal variability and fluctuation table predict location depression pockets. Total 21 consecutive years (1996–2017) monitoring well data (pre- post-monsoon) have been collected CGWB, Government India. nonparametric Mann–Kendall trend analysis standardized precipitation index (SPI) applied detect level rainfall...

Periodic forest fires destruct to biodiversity, ecosystem productivity and multiple services. Forest are currently turning a leading cause of degradation. The principal objective this research is predict fire vulnerable zones over Similipal biosphere reserve (SBR; Odisha) using different machine learning (ML) models, such as support vector (SVM), random (RF) multivariate adaptive regression splines (MARS). Different resampling methods (CV bootstrap) have also been applied for optimizing the...

The significant biodiversity rich Jaldapara National Park is situated at Terai-Dooars region of Eastern Himalayan foothill. This study attempts to identify the deforestation probable zones national park and its surroundings applying five different machine learning algorithms (SVM, NB, RF, DT ANN). Results show that northern middle sections are being faced by high rate due large scale human encroachment, poaching timber trafficking. Result also illustrates support vector (SVM) brings more...

Herein, we demonstrate a solvent-free and cost-effective mechanochemical electrophilic thiocyanation of indoles imidazo[1,2- ]pyridines tandem double C–H activation leading to the formation C-2 aryl C-3 thiocyano in mixer-mill.

Rainfall is a significant triggering factor for landslides, after tectonics and structurally vulnerable lithology— particularly in Himalayan Range. Globally, extensive efforts have been undertaken to determine the specific rainfall threshold conditions that lead initiation of slide on regional scale. Rainfall-induced landslides disrupt life cause damage properties region. This study has two-fold objective; relationship between occurrence factor, namely rainfall, based intensity-duration...

Forest is a renewable resource and an imperative part of the total environment. But in last few decades, forest areas are being highly converted depleted due to excessive anthropogenic stress particularly for modern societal development. The magnitude deforestation has been exaggerated tropical sub-tropical developing countries world. main objective study identify probable along with analysis cover dynamics within Silabati watershed India applying Binary Logistic Regression Model. map (1998...

The syntheses of dyes and fluorophores have significant commercial importance. In recent years, mechanochemistry has emerged as a green sustainable alternative for the synthesis conventional dyes, new fluorophores, also synthetic modification known their use chemosensors. dyestuffs based on BODIPYs, rhodamine, fluorescein, perylenedimides, coumarins, benzothiazoles, etc. were synthesized or derivatized by grinding milling. synopsis aims to pay key attention applications chemosensors will be...

The higher concentration of PM10 and PM2.5 in the lower atmosphere is severely harmful for human health it also makes visibility diminution along with weather climate modifications. main objective to find out spatiotemporal variation dispersal COVID-19 infection dusty city Kolkata. consecutive two years data different stations have been obtained from State Pollution Control Board, Govt. West Bengal. Forward trajectory analysis has done through HYSPLIT (Hybrid Single Particle Lagrangian...

Landslides are the indicator of slope instability particularly in mountain terrain and causing different types reimbursements threats life property. The Himalayan terrains highly susceptible to natural hazards as well disasters land failure activities mainly due inherent tectonic which further enhanced by various Neo-tectonic Neolithic activities. This scientific study provides an framework for assessment proper precise landslide susceptibility two districts Arunachal Pradesh (Tawang West...

Most of the Greater Himalayan cities recurrently face multiple natural hazards or disasters such as earthquake, landslide, sinking, glacier busts and flash flood. So, Joshimath is no exception because it situated on tectonically very active young fold mountain chain. Previously, many incidents like landslides, subsidence sinking flood occurred in around city major minor cracks also exposed roads, walls floors houses. From 11 January 2023, portion continuously started to sink have been...

This study mainly accentuates the effects of urban wetlands on micro climate in hinterland region and cooling largely control over intensity heat island (UHI). The magnitude conurbation or agglomeration (with high-rise multi-storeyed buildings) Kolkata city is growing very fast this process accelerates progress island. seven significant have been selected Landsat satellite data (for years 2018, 2019 2000) descriptive statistical techniques also used. temperature difference gradient (from...