Locations In India Research Articles

Estimating the link budget of satellite-based Quantum Key Distribution (QKD) for uplink transmission through the atmosphere

Satellite-based quantum communications including quantum key distribution (QKD) represent one of the most promising approaches toward global-scale quantum communications. To determine the viability of transmitting quantum signals through the atmosphere, it is essential to conduct atmospheric simulations for both uplink and downlink quantum communications. In the case of the uplink scenario, the initial phase of the beam’s propagation involves interaction with the atmosphere, making simulation particularly critical. To analyze the atmosphere over the Indian subcontinent, we begin by validating our approach by utilizing atmospheric data obtained from the experiments carried out in the Canary Islands within the framework of Quantum Communication (QC). We also verify our simulation methodology by reproducing simulation outcomes from diverse Canadian locations, taking into account both uplink and downlink scenarios in Low Earth Orbit (LEO). In this manuscript, we explore the practicality of utilizing three different ground station locations in India for uplink-based QC, while also considering beacon signals for both uplink and downlink scenarios. The atmospheric conditions of various geographical regions in India are simulated, and a dedicated link budget analysis is performed for each location, specifically focusing on three renowned observatories: IAO Hanle, Aries Nainital, and Mount Abu. The analysis involves computing the overall losses of the signal and beacon beams. The findings indicate that the IAO Hanle site is a more suitable choice for uplink-based QC when compared to the other two sites.

Examining the Impact of Socio-economic, Demographic and Policy Factors on Reverse Migration in India During COVID-19 Pandemic

This article examines the factors that determined ‘reverse migration’ of households from urban locations in India in the aftermath of a series of lockdowns that followed the coronavirus disease-2019 (COVID-19) pandemic. Positioning reverse migration as a coping strategy to ameliorate negative consequences of loss of livelihood, food shortages and loss of shelter in urban India, this article examines the factors that led to the utilization of this strategy in the aftermath of lockdown during the pandemic outbreak. The article also tests whether returning to hinterland persisted after the period of lockdowns. The lockdowns had exacerbated living conditions for urban poor. Migration to rural areas continued despite various policies and programmes that the national and state governments instituted to counter the negative impact of lockdowns, particularly on low-income households. Examining the socio-economic, demographic and policy factors, this article provides evidence that family support and rural social institutions such as self-help groups played a crucial role in providing support system during pandemic even to those who migrated back from urban areas. Government programmes such as Rural Employment Guarantee Scheme and access to public distribution system were also important for reverse migrants. An important result is that the first wave of reverse migration was due to family and emotional reasons that arose because of lockdowns, the second wave of migration was for economic reasons as households continued to struggle in urban areas, and the migration during the third wave was a usual seasonal migration.

A Community Response to Tourism Focusing on the Home Stay Program in Goriganga Valley Munsyari , Pithoragarh Uttarakhand , India

In most mountainous regions of the world, people have limited possibilities for generating income. Agriculture forestry, animal husbandry Home stay back bone of local economics, The Himalayan Mountain in all its length adnbreath has been a famous destination as well as international tourist. Its snowy peaks, glaciers, passes, alpine grasslands, its wilderness, might river and many there unsurpassed natural constructs have been inspiring the adventure and explorers. The tourism industry in India has grown enormously and is becoming a major source of economic growth in India. Is paper focuses on studying the possibilities of home- stay programs and the willingness of the residents in Uttarakhand on such programs. Considering the tourism perspective of India, home-stay programs are rather unusual. Only Ladakh Autonomous Region in Jammu and Kashmir are the two examples. is research is a combination of qualitative and quantitative approaches through household survey, an average treatment, community economic development analysis, observations, interpretative analysis, and ethnographic understanding of Johar valley, Munsyari Pithoragarh District, Uttarakhand. E results show that the tourism industry has not brought economic benefits for the households involved in the industry; however, this could be owing to the community not being involved in tourism development. In addition, most of the villagers considered that the home-stay program could create opportunities for jobs and improve the income of the local community. In the mountain tourism industry, tourist guides, dhabawals are the main successful tourism operations. In the study area, we found private entrepreneurship, but the home-stay program has not yet been developed. is research paper expects to assist making decisions to initiate an extensive home-stay program under the “Endogenous Tourism” program with some re-evaluations of not only the previously mentioned village of Uttarakhand, but also other remote locations in India, considering the colorful and cultural-rituals of rural living in India.

Effect of Trichoderma Culture Filtrates of as Inducer on Growth Parameters of Tomato (Solanum lycopersicum L.) against Fusarium Wilt

Aims: The present study was carried out to evaluate the effect of culture filtrates from different Trichoderma isolates at 10% concentration on the growth parameters of tomato plants over two growing seasons (2021-22 and 2022-23). Study Design: The experiment was performed both in vitro and in vivo condition, Completely Randomized Design (CRD) used for in vitro and Randomized Block Design (RBD) used for in vivo experiment Place and Duration of Study: The experiment was performed at Chandra Shekhar Azad University of Agriculture and Technology, Kanpur (India) during 2021-22 and 2022-23. Methodology: The soil sample collected from 12 different location of India and Trichoderma isolated and these different isolates used to produce their individual culture filtrate and these culture filtrates further use with 10% concentration as treatment for tomato plant. The effect of culture filtrates on plant height, root length, number of branches, fresh and dry shoot and root weight were observed under the experiment. Results: Results show significant improvements in plant height, root length, fresh and dry weights and number of branches in all culture filtrate treated plants involving T9 (seedling treatment + one foliar spray with culture filtrate of Trichoderma Nagaur), which consistently outperformed other isolates. Plant height increased to 43.06 cm in 2021-22 and 44.56 cm in 2022-23 at 40 days after transplanting with isolate T9 treatment followed by culture filtrate of Trichoderma Jabalpur (T7) and Trichoderma Banda (T6) showed 11.56, 22.96, 33.72, and 37.15 cm in 2021-22, and 11.38, 23.24, 34.46 and 36.08 cm for T6 in the same year. Among all the culture filtrates, the treatment T9 significantly enhances root length, fresh shoot and root weights and the number of branches. The plants treated with isolate T9 also exhibited an increase of 98.94% in root fresh weight and 42.31% in shoot weight. Conclusion: The findings confirm the growth-promoting potential of the T9 Trichoderma, attributed to mechanisms such as hormone production, enhanced nutrient uptake and improved root architecture. These results align with previous studies demonstrating the benefits of Trichoderma species in plant growth enhancement.

Forecasting solar irradiance for the strategic integration of hybrid hydro and solar photovoltaic systems in rural Indian regions

ABSTRACT Conversion of the conventional electrical grid into a smart and sustainable grid involves several considerations. The primary factors, however, are renewable energy penetration, associated storage systems, and energy generation costs. This research endeavors to conduct a thorough survey and analysis of the solar irradiance on various hydropower locations in India, including Run-of-River (RoR), Run-of-River with Pondage (RoRP), Reservoir Storage (S), Multi-Purpose Storage (MP) and Pumped Storage Systems (PSS). The hydroelectric projects in rural Indian regions have been the subject of the proposed case study. As a preliminary study, the probabilistic variables like minimum, maximum, and mean solar irradiance are calculated for 252 High-Scale Hydropower Plant locations (HSHPs) using the past 40 years day ahead solar radiation data to identify the high-irradiance hydropower plant location in each state of India. This study concludes that the maximum mean solar irradiance location in each state as these sites are well suited for hybrid PV-hydro systems. The identified high-irradiance locations 40 years day ahead data sets are analyzed employing 8 machine learning models and 2 deep learning models. This analysis aims to forecast solar irradiance, serving as a crucial foundation for the initial phase of the implementation of hybrid PV-hydro.

The qualitative and molecular categorization for genetic diversity in Withaniasomnifera (L.) Dunal

Ashwagandha, often known as Indian ginseng, is a popular therapeutic plant in ancient Ayurvedic medicine. Its roots and leaves have adaptogenic, anti-inflammatory, and immunomodulatory properties. Traditional medicine mainly relies on ashwagandha, a powerful medicinal plant with alkaloids and withanolides. This study investigates the genetic diversity and qualitative characteristics of 29 Withania somnifera L. genotypes, using RAPD markers to guide breeding strategies. Plant components from several Indian locations were grown in a randomized block design. Genomic DNA was isolated using a modified C-TAB technique and analyzed with 33 RAPD markers, revealing high variability (PIC values ranging from 0.154 to 0.985). Growth habit, leaf shape and color, flower color, berry color, and root color were among the qualitative qualities found, with intermediate and erect growth styles, mostly ovate leaf forms, and a wide range of leaf and flower colors. Genetic analysis revealed substantial polymorphism, with a UPGMA dendrogram clustering the genotypes into eight distinct groups, indicating diverse genetic backgrounds. The qualitative and molecular characterization of genetic variation in ashwagandha sheds light on the variability and adaptability of this essential therapeutic plant. Understanding and utilizing this variability allows researchers and breeders to improve the conservation, breeding, and long-term usage of ashwagandha, assuring its continued value in traditional medicine and modern pharmacology. This genetic diversity plays an essential role in breeding initiatives aiming to improve production, quality, and stress resilience. The study emphasizes the necessity of leveraging this variety through advanced breeding and biotechnology technologies to create superior Ashwagandha cultivars, maximize their therapeutic value, and assure long-term cultivation.

Influence of Fossil Fuels on Carbonaceous Aerosols: A Comparison among Urban Locations in India

Influence of Fossil Fuels on Carbonaceous Aerosols: A Comparison among Urban Locations in India

Exploring distribution and genomic diversity of begomoviruses associated with yellow mosaic disease of legume crops from India, highlighting the dominance of mungbean yellow mosaic India virus.

Yellow mosaic disease (YMD) caused by several begomoviruses is one of the major constraints of over a dozen leguminous crops worldwide, particularly in Asian and Southeast Asian countries. The present study aimed to investigate the distribution, diversity and prevalence of begomoviruses associated with YMD in leguminous hosts in five agro-climatic zones of India, to assess the extent of their geographical presence and develop location and crop-specific distribution maps. One hundred and seventy-four leguminous plant samples were tested from 32 locations in India to detect YMD-causing viruses. Additionally, publicly available data were incorporated into this study to provide a comprehensive overview of their distribution in India. This resulted in 581 reports on the DNA-A component representing 119 locations, which were also utilized to depict the distribution of YMD-causing viruses on a map of India. In this study, 117 full-length DNA-A and 103 DNA-B components were successfully characterized, representing the detected mungbean yellow mosaic India virus (MYMIV), mungbean yellow mosaic virus (MYMV), and horsegram yellow mosaic virus in the collected samples. Phylogenetic analysis of isolates of these species showed no differentiation based on location in India. Diversity indices revealed the abundance (55.9%) and dominance (0.56) of MYMIV across 119 locations. These findings hold significant implications for legume researchers, offering insights into disease prevalence and geographic distribution. Furthermore, the distribution of YMD-causing viruses in different agro-climatic zones will help researchers in developing zone-specific YMD-resistant cultivars of the legume crops and would facilitate effective disease management options.

Assessment of clear-sky irradiance from 6S affected by local climatology of India

Accurate estimation of solar power generation is crucial for the effective planning and operation of solar energy sector. Solar potential can be estimated at a location from long-term historical irradiance data processed from atmospheric reanalysis datasets. The current study employs a clear-sky radiative transfer model (6S) to simulate the net surface irradiance at four distinct locations in India, comparing our model's output with mean monthly ground-based measurements of surface irradiance. Our findings reveal that the 6S model marginally underestimates solar irradiance, with potential deviations varying depending on the accuracy of input data. This research evaluates the influence of particulate matter concentration and relative humidity on the scattering and absorption of solar radiation. We also state the variability in surface irradiance across the country with the rainfall trends that enhance assessment accuracy. The study reports an annual deviation of 10–15 % in surface irradiance across the country, where rural settlements show lower deviations in simulations. The radiative transfer calculations mentioned in the study are simplistic yet beneficial for a priori evaluation of solar potential. Transmittance estimated from clear-sky models is further implemented in all-sky (with clouds), and thus, model accuracy is an important parameter. Additionally, we explore the trends in aerosol concentrations and the impact of local climatological factors on surface irradiance, providing insights critical for optimizing solar energy utilization.

Dissipation kinetics and risk assessment of residues of combination product of two fungicides, fluxapyroxad, and pyraclostrobin in cumin

Supervised field trial studies were conducted to understand dissipation kinetics and harvest time residues of a combination product of fluxapyroxad and pyraclostrobin in cumin plant/leaves and seeds at different locations in India. The results showed initial accumulation of fluxapyroxad at the levels of 15.4 and 20.2 mg kg−1 and pyraclostrobin at the level of 21.2 and 33.4 mg kg−1 in cumin leaves/plant in Anand, Gujarat. Fluxapyroxad and pyraclostrobin followed zero-order and first-order dissipation kinetics in cumin plant/leaves samples respectively. The residues translocated to cumin seeds. As the hazard quotient (HQ) was <1 in all cases consumer health risk may be negligible.

Quality, Textural, Bioactive, Molecular and Chromatographic Characterization of Citrus Pseudolimon from Different Geographical Locations in India

Quality, Textural, Bioactive, Molecular and Chromatographic Characterization of Citrus Pseudolimon from Different Geographical Locations in India

Occurrence characteristics of ionospheric scintillations in the civilian GPS signals (L1, L2, and L5) through a dedicated scintillation monitoring receiver at a low-latitude location in India during the 25th solar cycle

Abstract The ionospheric post-sunset irregularities are responsible for the discrepancies in the received global navigation satellite system (GNSS) signals to fluctuate the phase and amplitude resulting in scintillations in the respective components. Ionospheric scintillations reduce the signal quality and alter the signal reception time inducing position errors which is not preferable for the precise position applications. The level of ionospheric amplitude scintillation, quantified by the amplitude scintillation index (S4), is analyzed during the year 2022, which accentuates the ascending phase of solar cycle 25. For this, we analyzed scintillation intensity and occurrence percentage at a low latitude Indian location in India by employing all the available frequencies of the global positioning system (GPS) constellation. The scintillation distribution for each month is also observed which reveals that the autumn equinox seasons has high scintillation occurrence compared to the vernal equinox seasons. The impact of the scintillation on the three civilian signals (L1, L2 and L5) of the GPS constellation is also observed in terms of the scintillation intensity distribution. The cross-correlation of the S4 index for these three signals reveals a strong correlation existing among them during strong scintillations whereas L2 and L5 signals portray a high correlation irrespective of signal intensities. In brief, the strong scintillation occurrence percentage is higher in the L5 signal compared to the L1 and L2 in contrast with weak scintillation, which is high in L1, followed by L2 and L5. Further, the analysis shows that the autumnal equinox has the highest percentage occurrence of strong scintillations (less than 10 % of the scintillation cases) compared to the vernal equinox whereas among solstice seasons June solstice presented the least scintillation occurrence at the location. The outcomes of this study instigate further analysis of scintillation occurrences from diverse GNSS frequencies covering diverse solar activity conditions for complementing the development of robust scintillation mitigation strategies across the low latitudes during the diverse scintillation conditions.

Sustainable solutions: using MCDM to choose the best location for green energy projects

Purpose This study aims to find the best location for constructing green energy facilities in India and reducing CO2 emissions. Incorporating green energy is a priority for many countries under the Paris Agreement. This task is challenging due to factors that affect implementation, and making the wrong decision wastes resources. India’s goals are net-zero emissions by 2070 and 50% renewable electricity by 2030. Other developing nations should emulate India’s renewable energy strategy. India ranks fourth in renewable energy and wind power, and fifth in solar power capacity. This research aims to identify the best locations in India for implementing green energy projects. Design/methodology/approach To identify the optimal green energy implementation sites in India, this research uses the hybrid multicriteria decision analysis (MCDA) in an uncertain environment. This research uses the Delphi method to identify the most suitable green energy implementation sites in India. It adapts the elements for this investigation. In addition, the utilization of the Fermatean fuzzy weighted aggregated sum product assessment technique is implemented to effectively prioritize the factors that impact the selection of these sites. This study used the MEREC method (method based on the removal effects of criteria) to identify the most suitable areas in India for implementing green energy. The highest accuracy is attained through the amalgamation of these hybrid methods. Findings Following the computation data by hybrid MCDA in uncertainty environment, NP Kunta in Andhra Pradesh emerges as the recommended green energy site among the 11 considered. Also among the factors political strategies and objectives hold the highest priority among them. Originality/value This study is pioneering in its efforts to provide a comprehensive perspective on the development and management of green energy operations in India. The study proves advantageous for diverse sites in the successful adoption and management of green energy. The study is additionally valuable in informing policy development aimed at promoting the use of green energy by employees through the utilization of MCDA methods in uncertain environments.

First Insight into the Phylogenetic Diversity of Bovicola caprae Infesting Goats of Different Agro-climatic Locations in India.

Bovicola caprae is an important obligate ectoparasite of goats worldwide including India. The present study aimed at the molecular confirmation, phylogenetics and population structure analyses of B. caprae infesting goats of three different agro-climatic locations in India, by targeting the mitochondrial cytochrome C oxidase subunit 1 (cox1) genetic marker. The phylogenetic tree exhibited the presence of two different lineages of B. caprae. The sequences generated herein clustered in lineage 2 along with theGenBank™ archived sequences from China and Iran. The sequences generated herein also showed the circulation of sub-lineages of B. caprae in India based on the analysis of pairwise genetic distances between sequences and median-joining haplotype network. The population structure analyses revealed low nucleotide (0.00353 ± 0.00291 and 0.02694 ± 0.00363) and high haplotype (0.667 ± 0.314 and 0.618 ± 0.104) diversities for the present study isolates as well as for the complete dataset, respectively, which evinced a recent demographic expansion. High genetic differentiation (FST value = 0.97826) and low gene flow (Nm = 0.00556) were also recorded in the different lineages/populations. In conclusion, the present study addressed the research gap and provided the first insight into the phylogenetics of the goat louse B. caprae and highlighted the circulation of sub-lineages of the ectoparasite in India.

How Critical Is the Accuracy of the Atmospheric Transport Modeling to Improve the Urban CO2 Emission in India?—A Lagrangian‐Based Approach

AbstractAnthropogenic CO2 emission reduction strategies depend on how well we track emission enhancements at the urban scale. The estimation system, based on inverse modeling, relies on our knowledge of atmospheric transport and prior flux distributions. Hence, the analysis framework must account for uncertainties associated with each component in order to interpret the variations in observed CO2. Using an ensemble of simulations, we quantify the uncertainties in simulating anthropogenic CO2 mixing ratio enhancements at 15 locations in India. Differences in the representation of transport mechanisms and prior emission in the forward model induce a consistently large model spread of 62.2% and 41.9%, respectively, in the simulated mixing ratio over cities. The analysis reports an average uncertainty of 2.2 ppm with a maximum of 8 ppm for representing diurnally averaged anthropogenic CO2 enhancement. Diurnal variations in emissions and transport induce a rectification effect in those enhancements. The outcome of this study can thus inform future atmospheric CO2 inversion modeling at an urban scale on the expected forward model uncertainties, which are the essential components in the Bayesian inversion framework, typically lacking in the Indian region. The first‐order inversion experiments show that the change in the transport model induces significant uncertainty (up to 84.9%) in anthropogenic CO2 flux estimation at the national scale. Hence, the confidence level of inverse‐based emission estimation in India depends considerably on the accuracy of atmospheric transport modeling.

Assessment of albendazole efficacy against Ascaris lumbricoides at three sites of Andhra Pradesh, Odisha, and Kerala in India

Objective: To assess efficacy of albendazole against Ascaris (A.) lumbrìcoides among school-children at three sites of Rajahmundry, Sundergarh and Wayanad. Methods: Sites were selected based on soil-transmitted helminths prevalence, different sociocultural-geographical characteristics and operational feasibility. 9-12 Years old children from 14 schools were included. The study was conducted in two rounds: baseline &amp; follow up survey. All eligible children found positive for A. lumbricoides at baseline were administered supervised single tablet albendazole 400 mg under the National Deworming Day Initiative. During post-treatment follow-up survey, eligible children who provided second stool sample were included in the final analysis. Stool samples were examined using WHO recommended Kato-Katz technique. Efficacy was estimated based on cure rate (CR) and Fecal Egg Count Reduction Rate (FECRR) among children found positive in baseline and follow-up surveys. Results: 328 Out of 625 (52.5%) were found positive for A. lumbricoides in the baseline survey and 85 out of 178 samples (47.8%) during post-treatment follow-up survey. Overall, the estimated CR was 52.2%. FECRR (95% CI) for albendazole was 72.6% (79.2%-66.0%). The FECRR was highest in East Godaveri [89.7% (96.8%-82.6%)], followed by Sundergarh [86.4% (95.3%-77.5%)] and Wayanad [69% (81.7%-56.4%)]. Conclusions: Our study confirmed overall reduction in FEC although with varying albendazole efficacy for A. lumbricoides infection at three different locations in India. However, these finding may be assessed in context of ongoing MDA under Filaria control program and further studies by in vivo as well as in vitro methods are required to reach to a conclusion on possible resistance if any.

Experimental and computational modeling analysis of double slope solar still with a trapezoidal channel for preheating

In specific locations in India, water scarcity is an important issue, therefore several efforts are made to produce treated water so that rural and urban areas have access to safe and sustainable drinking water. The solar still method is the most affordable water purification option available in these hot areas. This research aims to enhance the performance of passive double-slope solar stills by analyzing the effects of preheated water on evaporation and yield rates. A new method was adopted to maintain the lowest water depth in the basin of a solar still by using a channel attachment to move the feed water. Additionally, the study investigates the impact of a trapezoidal channel attachment within the solar still, a first-time innovation, on its efficiency and yield rate. Computational fluid dynamics and experimental data collected on February 10, 2024, in Kattankulathur was analyzed to assess temperature variations and yield rates. A three-dimensional full-scale simulation was carried out using Ansys Fluent with a two-phase (evaporation and condensation) model, where the flow in the channels of the rate varied from 0.87 × 10-4 to 5.21 × 10-4 Ls−1 and the highest yield is achieved at flow rate of 1.74 × 10-4 Ls−1. The accuracy of the simulation technique was evaluated by comparing it to experimental data, and found a good match. The results demonstrated that solar still with trapezoidal channels significantly increased the overall yield rate. Optimal performance was achieved under specific environmental conditions, with a cumulative yield of 2.45 Lm−2 at a basin water depth of 10 mm, marking a 37.64 % increase over the conventional solar still. Economic analysis indicated a reduction in the payback period to 299 days, affirming the system’s cost-effectiveness. The trapezoidal channel design is limited to a cross-section of 10 mm2, and positioned at a 17° angle on the middle sidewall to minimize the shadow formation on the basin of still and maintain high yield and evaporation–condensation rates. The novelty of this work is to integrate trapezoidal channels on the double slope solar still and to optimize its design and flow rate to maximize the overall production.

Isolation and Molecular Confirmation of Staphylococcus aureus from Bovine Mastitis in Various Locations of Tamil Nadu, India

This present investigation was done for the Isolation and Molecular confirmation of Staphylococcus aureus from Bovine mastitis-infected cows in various Tamil Nadu, India locations. Two hundred milk samples, ranging from 15 to 20 ml, were collected aseptically from cows in farms in and around Tamil Nadu and surrounding areas after discarding the first few streaks of milk from 2021 to 2023. We used the CMT test to check the milk samples. Following a thorough mixing of the milk samples delivered to the laboratory, one loop containing the infected milk sample was plated on Nutrient agar and incubated at 37 ˚C for 18 to 24 hours. To identify the Staphylococcus aureus, the isolated bacterial colonies were preliminarily identified by Microscopic examination (Gram staining and Motility test), Plating in Selective medium (Mannitol Salt Agar) and Biochemical tests. The DNA of the bacteria was extracted and Polymerase Chain Reaction (PCR) was done to detect the presence of the nuc gene. Of the 200 milk samples obtained from nursing cows, 37.5 % were from Mastitis-positive animals; of these, 61.3 % were in the sub-clinical stage, while 38.7 % were in the clinical stage. Only 33 (16.5 %) of the 200 milk samples tested positive for Staphylococcus aureus. A total of 26 out of 75 animals (34.7 %) with Mastitis, and 7 out of 125 animals (5.6 %) without Mastitis. Fifteen (57.7 %) of the twenty-six Staphylococcus aureus isolates found in cows with mastitis were from clinical cases, whereas eleven (42.3%) were from sub-clinical cases. All of the Staphylococcus aureus isolates examined contained the 279 bp nuc gene, according to the conventional PCR findings. In conclusion, the research has shown that sub-clinical mastitis is more common than clinical mastitis and that Staphylococcus aureus was substantially more often isolated from mastitis milk, particularly in clinical instances.

Long-term observations of cloud condensation nuclei (CCN) characteristics of atmospheric aerosols: Results from a rural location in India

Long-term measurement of cloud condensation nuclei (CCN) is essential to assess the role of seasonally varying aerosol sources and underlying synoptical meteorological conditions in aerosol-cloud interactions. However, long-term measurement of CCN is limited over the Indian region and globally. This study provides first-ever long-term observations of CCN concentrations at different supersaturation (SS) values ranging from 0.2 to 1.0% using a CCN counter from a rural location of Gadanki, India (13.5°N, 79.2°E, and 375 m AMSL) during October 2019–August 2023. The total CCN concentration (NCCN) was the highest during pre-monsoon season (2847 ± 1148 #/cc), followed by winter (2463 ± 1066 #/cc), post-monsoon (2124 ± 1145 #/cc), and monsoon (1099 ± 740 #/cc) at 0.4% SS. Diurnal variations in NCCN showed bi-modal distribution with a relatively weak peak at around 8:00 h (Local time, LT) and a substantial rise at about 20 h LT. However, a systematic increase in NCCN was observed during the daytime in all the seasons except for the monsoon. The two peaks in diurnal variation of NCCN were associated with CCN of sizes less than 2 μm. The peak diameter of the mono-modal size distribution of CCN shifted towards the higher SS, implying the growth of small aerosols and available CCN. The broad peak indicates that most aerosol particles over Gadanki grow at the SS of 0.4%. Estimates of the k-parameter (Twomey's empirical fit) show the aerosols over Gadanki are relatively more hygroscopic during the monsoon than in winter, with their respective k-values of 0.7 and 0.4. Further, the diurnal variation in the k-parameter suggests significant variability in hygroscopicity within a day during monsoon and winter. Comparison with other locations suggests the CCN concentrations over Gadanki lies between those of polluted urban, coastal, and high-altitude stations.

Exploring the Potential of Renewable Energy to Enable Green Hydrogen Production for a Sustainable Future

Abstract – Amidst intensifying concerns about greenhouse gas emissions, the imperative to transition towards sustainable energy solutions is paramount. Renewable energy sources (RES) provide a promising avenue, especially in hydrogen production. In this context, the emergence of “green hydrogen” is pivotal. Green hydrogen is a concept produced using RES like solar and wind energy to power the hydrogen production process. Unlike conventional methods emitting carbon dioxide, green hydrogen is generated through water electrolysis using clean energy. India relies on coal for around 70% of its energy needs, leading to a 29% rise in carbon emissions from 2015 to 2022. Green hydrogen is a potential alternative solution to address the increasing energy demand and the depletion of fossil fuels. Using wind energy for water electrolysis emerges as a suitable method for green hydrogen production. Therefore, in the present study, assessed the potential of hydrogen production using the wind energy resources in five selected locations in India using ERA5 hourly wind data. The investigation further explored the characteristics of wind speeds at these locations using average wind speed, Weibull parameters and wind rose analysis. Using the SUZLON S95 wind turbine, power output and annual energy generation at each location were estimated. Further, estimated the annual hydrogen production and required storage capacity at each location. The results showed a power generation of 891 kW in location Una and 895 kW in Mandvi. Finally, the amount of carbon emissions mitigated due to the use of wind energy sources instead of conventional sources for H2 production is calculated.