Cyclone Type Research Articles

Experimental and numerical study of maximum efficiency vortex finder insertion depth of a Stairmand cyclone

The vortex finder is essential in cyclone separators, significantly affecting separation performance via its diameter and insertion depth. The current study shows that as the insertion depth of the vortex finder increases, the separation efficiency initially increases and then decreases, and there exists a maximum point with which the corresponding insertion depth is the maximum efficiency insertion depth (SMEID). However, there are inconsistent conclusions in the existing literature regarding the maximum efficiency insertion depth and a lack of explanation for the flow field mechanism at the maximum efficiency insertion depth. This study examines the Stairmand type cyclone using 13 μm silicon micro-powder, employing numerical simulation and cold mold experiments to explore the effects of the vortex finder's insertion depth and diameter on separation performance and flow field. The results indicate that the insertion depth has minimal impact on pressure drop. The maximum efficiency insertion depth of the vortex finder decreases as the diameter decreases and is independent of this insertion depth with respect to the inlet velocity. Analysis of the flow field reveals that the maximum efficiency insertion depth is essentially the result of a "competitive and synergistic" mechanism between the annular space separation capability and the separation space separation capability.

Identifying the influence of inlet velocity changes to pressure drop and collecting efficiency in Stairmand and Lapple type cyclone separators

The object of this research is to compare the performance of Stairmand and Lapple type cyclone separators. The main problem to be solved in this research is determining which Stairmand or Lapple type cyclone separator is more suitable for integration into the pyrolysis system. The comparison is based on key performance indicators: pressure drop and collecting efficiency. The research findings indicate that both Stairmand and Lapple cyclone separators exhibit similar trends in pressure drop and collecting efficiency. As inlet velocity increases, the pressure drop also increases for both types. However, the collecting efficiency initially rises but then declines when inlet velocities exceed 13 m/s. The Lapple variant achieved a peak collecting efficiency of 98.94 % and pressure drop 16.26 mbar at an inlet velocity of 13 m/s, whereas the Stairmand design reached 97.33 % and pressure drop 12.16 mbar at 13 m/s inlet velocity. The Lapple type cyclone separator outperformed the Stairmand type in terms of both of pressure drop and collecting efficiency. This superiority is attributed to the specific design features and characteristics of the Lapple type. The superior performance of the Lapple type cyclone separator can be explained by its unique design elements that contribute to improved particulate matter separation and pressure drop. These elements may include differences in cylinder height and particulate matter outlet diameter. Based on the findings of this research, the Lapple type cyclone separator is recommended for integration into pyrolysis systems. However, it is important to consider the specific operating conditions of the pyrolysis process, such as temperature, the particulate matter size distribution, flow rate, and desired separation efficiency

Extension and trend of the London urban heat island under Lamb weather types

Understanding and describing how urban heat islands evolve is important, given the noticeable impact they have on people living in cities. This paper considers the London heat island from gridded values with one-arcminute spatial resolution over a 33-year period, from 1990 to 2022. Among the available variables in the database, maximum and minimum air temperatures were used. A cold island was not observed, since temperatures in the city centre were higher than those in the surroundings during the day and at night. However, the urban heat island extension was higher for the maximum temperature, whereas this island was limited to the city centre for the minimum temperature, in line with the area delimited by the congestion charge. Lamb weather types were determined, and it was found that the anticyclonic type prevailed, followed by southwest, west, and cyclonic types. The difference between both temperatures was about 6.8 °C in the city centre, and was particularly defined for anticyclonic and cyclonic types. Moreover, anticyclonic situations were linked with the highest urban heat island intensities for minimum temperature. Finally, the temperature trend was similar for both temperatures –about 0.2–0.3 °C/10 years in the city centre– thereby offering a possible quantification of climate change.

Severe Weather Warnings for Sofia, Bulgaria: May – September 2010–2019

Severe weather monitoring and forecasting is the prime task of the National Meteorological Services according to World Meteorological Organization Guidelines (WMO). Since 2009 Bulgarian National Institute of Meteorology and Hydrology (NIMH) issues 48 h ahead severe weather warnings as a contribution to the European warning system (METEOALARM). A total of 243 days with warnings for heat, thunderstorms and intense rain were issued for the period May-September 2010–2019. The monthly maximum for heat is 42 days in July, for thunderstorms it is 26 days in June, and for intense rain it is 27 days in June. Objective circulation classification is conducted which shows that the majority of heat warnings are associated with Anticyclonic and West flow circulation types. About 40% of thunderstorm warnings are of Cyclone type followed by 28.6% of Cyclonic Directional types. For rain warnings, most of the days are with Cyclone type (46.2%) and Cyclonic Directional types (27.5%). Analysis of Global Navigation Satellite Systems (GNSS) derived Integrated Water Vapour (IWV), from the Bulgarian station in Sofia, shows consistently higher values for the days with METEOALARM warnings for heat, thunderstorm and rain.

Hazard assessment of dynamic marine processes during two extreme weather systems near the Shandong Peninsula

Typhoons and extratropical cyclones both occurred frequently on the Shandong Peninsula and have induced severe dynamic marine disasters. In this study, the typhoons and extratropical cyclones that occurred from 1979 to 2018 were counted and classified according to their tracks. We simulated the storm surge and disastrous waves using a coupled ocean-wave model and assessed the hazard distribution under different types of typhoons and extratropical cyclones. Through comparison, it was found that the southern Yellow Sea steering type typhoons and Yangtze-Huai cyclones occurred most frequently and were most likely to cause disasters. Regarding the hazard posed by the storm surge, there was a clear demarcation between the northern and southern coasts of the peninsula, as well as between the eastern and western coasts. The western coast of the peninsula was more exposed to storm surges induced by typhoons, while the northern coast of the peninsula was more exposed to storm surges induced by extratropical cyclones. The hazard posed by waves exhibited a localized characteristic. The wave hazard was the greatest near the peninsula cape and the lowest surrounding the Laizhou Bay, which was contrary to the distribution of the storm surge hazard. The identification of key management areas for disasters provides basic data and a technical reference for coastal development planning and can play a positive role in disaster prevention.

New perspectives on South Atlantic storm track through an automatic method for detecting extratropical cyclones' lifecycle

AbstractThis study introduces new insights into the climatology of South Atlantic (SAt) cyclones by employing a novel cyclone life cycle detection method, the CycloPhaser. Utilizing the minimum relative vorticity series and its derivative at the cyclone centre, the program effectively identifies distinct phases in the cyclone life cycle. Cyclone tracks are obtained through the analysis of relative vorticity at 850 hPa, using the ERA5 dataset. The study identified six main cyclone life cycle patterns from the analysis of 28,458 systems. The predominant cyclone type, accounting for approximately 60% of the analysed systems, exhibited a four‐phase configuration: incipient, intensification, mature and decay. Detailed statistics for each developmental phase and the overall life cycle are presented, offering valuable comparisons and new insights while corroborating previous research findings. Key genesis regions in the SAt are identified, along with track density maps that reveal distinct preferences in cyclone developmental cycle. The main outcome of this study is the demonstration that the automated classification procedure enables the analysis of cyclones' life cycles to be conducted promptly and with low computing costs, facilitating the comprehensive study of cyclone behaviour with high efficiency.

Effect of Exhaust Pipe Size on Separation Efficiency of Cyclone Separator Used in Power Plant

In order to grasp the influence of exhaust pipe size on cyclone flow fields and improve the recovery and utilization rate of coal powder in power plant, the flow characteristics and the separation capacity of the fine coal powder separator in power plant were investigated through numerical simulation. The Reynolds stress model was employed to model the turbulent flow. The Eulerian-Lagrangian computational procedure was used to predict particles tracking in the cyclone. The particle trajectories were simulated using the discrete random walk. Five cyclone types with different insertion lengths of the exhaust pipe at the same other geometric dimensions were considered. It was found that tangential velocity played a dominant role in the radial distribution of particles, which was mainly represented by Rankine vortex. When the insertion length of the exhaust pipe was increased from 1638 mm to 5100 mm, the grade efficiency of 5–12 μm particles was increased by 19%, and the pressure drop reduced by 8%.

ПРОСТРАНСТВЕННО-ВРЕМЕННЫЕ ИЗМЕНЕНИЯ ЦИКЛОГЕНЕЗА И РЕЖИМА ОСАДКОВ В АТЛАНТИКО-ЕВРОПЕЙСКОМ СЕКТОРЕ В 1979-2019 ГОДАХ

The study presents the classification of cyclones according to the region of origin and track in the Euro-Atlantic sector. The cyclones have been identified according to the ERA5 reanalysis data. Their seasonal frequency, travel speed, size, and central pressure have been quantified, and their trends have been revealed. Mean and maximum total precipitation associated with the distinguished types of cyclones over the territory of Europe is determined. It is shown that the frequency of the North Atlantic cyclones in the recent 40 years has decreased in winter, summer, and autumn and increased in spring. It has been revealed, that the frequency of the southern cyclones insignificantly decreases in summer and increases in winter. A decrease in minimum central pressure for some types of the North Atlantic cyclones occurs in winter and summer. There is an increase in maximum total precipitation in winter due to the North Atlantic cyclones and in summer due to the southern cyclones. The number of days with cyclonic precipitation decreases for all types of cyclones.

One-step fabrication of platelet-shaped Janus supraparticles via spray-drying

Supraparticles, i.e. assemblies of nanoparticles, can be classified as Janus supraparticles if they comprise two different types of nanoparticles that are asymmetrically distributed within the supraparticles. Due to their anisotropic character, they exhibit a high potential for various applications. However, the development of a scalable and material-wise flexible method to fabricate Janus supraparticles is still a challenge. In this work, a one-step synthesis of Janus supraparticles via spray-drying is reported. The segregation of binary particle dispersions during droplet evaporation, the tunable hollowness of supraparticles, and their fragmentation due to mechanical forces in the cyclone are exploited to fabricate platelet-shaped Janus supraparticles. By varying cyclone types, weight and diameter ratio between large and small nanoparticles of binary dispersions, their solid content and ionic strength, an optimized parameter setting is achieved. The obtained understanding of how to fabricate Janus supraparticles from binary silica model dispersions is transferred to mixed silica, iron oxide, titania and alumina supraparticles. This work opens a door for fabricating platelet-shaped Janus supraparticles in a fast and scalable manner.

Large-scale heavy precipitation over the Czech Republic and its link to atmospheric circulation in CORDEX regional climate models

The study evaluates ability of regional climate models (RCMs) to reproduce relationships between large-scale heavy precipitation events (LHPEs) over the Czech Republic and atmospheric circulation. We use an ensemble of 32 RCM simulations with the 0.11° resolution from the Euro-CORDEX project, and compare the historical simulations (1951–2005) against observations from the E-OBS data set. A novel selection criterion for LHPEs is proposed, defining these as days with at least 70% of all grid boxes over a given area with precipitation amounts exceeding the 90th grid-specific percentile of the seasonal distribution of daily amounts. The association with atmospheric circulation is investigated through circulation types derived from sea level pressure using airflow indices (direction, strength and vorticity). The majority of the RCMs capture that the frequency of days with LHPEs is higher in winter than summer, but almost all underestimate the occurrence of LHPEs in both seasons. In winter, the observed LHPEs are connected mainly with cyclonic types and westerly supertype; the role of nonwesterly and cyclonic-nonwesterly supertypes is significant only in the eastern part, where the Atlantic influence is weaker. In summer, the importance of cyclonic and nonwesterly types in producing LHPEs increases compared to winter. The RCMs reasonably well reproduce these links, including differences between seasons and regions, if their ensemble mean is evaluated, but large variations occur among individual simulations mainly in summer. The importance of cyclonic vorticity is overestimated in the RCMs, while westerly advection of moist air plays a smaller role in models than in observations.

Multi‐Platform Observations of Severe Typhoon Koinu

AbstractSevere Typhoon Koinu passed south of Hong Kong on 8 and 9 October 2023, triggering the issuance of the Increasing Gale or Storm Signal No. 9, the second highest tropical cyclone (TC) warning signal in Hong Kong. Koinu was a difficult case for TC warning service due to its compact size and rather erratic movement over the coastal waters of Guangdong. To monitor Koinu's movement and wind structure, the Hong Kong Observatory utilized various observational platforms, including meteorological aircraft, ocean radar, and synthetic aperture radar on polar orbiting satellites. The paper presents major observations derived from these measurements. The aircraft probe and dropsonde data suggested boundary layer inflow, warm core structure, eyewall updraft, and high turbulence in the eyewall of the typhoon. The weather radar observations indicated the occurrence of a waterspout in the vicinity of the typhoon. Additionally, the study highlights the forecasting performance of the AI‐based Pangu‐Weather model, which could outperform the conventional global numerical weather prediction models in forecasting TC track in the region. The documentation of these observations aims to provide valuable references for weather forecasters and stimulate further research on forecasting this type of tropical cyclone.

Extreme snowfalls and atmospheric circulation patterns in the Cantabrian Mountains (NW Spain)

This research examines the atmospheric patterns associated with damages caused by extreme snowfalls during a 115-year period, using newspapers as the source to document the events and performing then a synthetic damage index. Between 1900 and 2015 there was 180 days with personal and material damages due to snowfalls (without considering associated hazards as snow avalanches or landslides): Apart from the numerous material damages recorded, 60 people were killed and 254 injured. Advections from the north represented a 30% of damaging days (followed by cyclonic and northeastern) accumulating the greatest number of days in the highest deciles of damage, although cyclonic days were the most damaging ones on average. The analysis of data from five weather stations in the area, allowed to relate weather types with temperature and precipitation extremes, showing that northern and cyclonic types led to the lowest temperature and the highest precipitation. Both the number of events and the damage index decreased throughout the study period, with the most serious events (those that caused deaths and injuries) highly concentrated in the first half of the 20th century. This decrease trend is parallel to that observed in the frequency of two of the most damaging advections, northern and northeastern (responsible for a 46.7% of damage), which have gone from representing 7.3% of days before 1930 to 5.8% after 1990. Futhermore, the relationship between the NAO phases and the days of damage has been examined, noting that damages are less frequent and les intense during the NAO's positive phase. Finally, non-atmospheric drivers such as land-use intensity decline in rural areas and Spanish regulations on roof snow loads standards (initiated in the 1960s and refined subsequently, thus mitigating roof collapses and associated casualties), could have partially contributed to the decline in snowfall damage in the area.

Spray drying encapsulation of essential oils: Insights on various factors affecting the physicochemical properties of the microcapsules

AbstractSpray drying is a process that involves instantaneous conversion of a liquid or slurry into a free‐flowing powder in the presence of hot air or nitrogen gas current in a drying chamber. The technique is usually used to encapsulate active molecules like essential oils, plant extracts, fragrances, flavours and enzymes within a wall material. The encapsulation provides chemical and physical stability to the actives by converting them into free‐flowing powders which prevents their susceptibility to external atmospheric conditions like temperature, humidity, UV exposure and chemical oxidation. Spray drying encapsulation has an edge over other encapsulation techniques because it is fast, simple, efficient and economically feasible. The article focuses on encapsulating various essential oils within natural polymers and emulsifiers by spray drying methods to form stable microcapsules. The review also provides information on different types of spray drying equipment and process parameters like the type of atomiszer and nozzles, inlet–outlet temperature and type of cyclones. All the process parameters and materials are found to influence the physicochemical properties of the microencapsulates of essential oils. The review also discusses the effects of process parameters and materials on the encapsulation efficiency, moisture content, bulk and tapped density, agglomeration properties and thermal stability of the microencapsulates. Thus, the consolidated review will provide an overview of various optimization parameters and governing factors for obtaining microencapsulates of essential oils.

Phase transitions between tropical, subtropical, and extratropical cyclones: A review from IWTC-10

This review, which was adapted from a Tenth International Workshop on Tropical Cyclones (IWTC-10) report, discusses research findings and operational practices relevant to cyclone types and phase transitions (extratropical, subtropical, and tropical). The cyclone phase space (CPS) method is widely used in both historical investigations and real-time evaluation of cyclone type and transition; however, CPS parameter values depend on input data resolution, and universal thresholds do not currently exist to delineate when a cyclone transitions from one type to another. Assessments of phase transitions in a changing climate highlight potential latitude shifts in extratropical transition and increased potential for tropical transition, but realistic projections of future trends likely require high-resolution simulations that can capture the cyclone warm core.Operational meteorological centers apply varied approaches to cyclone classification via CPS parameters and other criteria, some of which depend on the tropical basin, yet these approaches cannot fully address challenges in operational classification and subsequently in communicating risks associated with these phase transitions. We recommend a multivariate historical assessment of tropical and subtropical cyclones across all basins in which they occur, including the South Atlantic Ocean and the Mediterranean Sea, to identify the potential for a more universal cyclone classification approach that meets operational needs.

Study on the performance of downhole axial cyclone with spiral fins for drainage and sand removal

When dewatering and resurrecting natural gas-flooded wells, sand-out problems can pose a serious hazard to downhole tools. At present, the downhole cyclone has more research on the separation of large particles of 60–70 µm, which is a serious hazard, but there is little research on the separation of fine particles of 10 µm. To improve the separation efficiency of downhole fine sand particles, this paper designs a new type of axial cyclone, in which a spiral fin is installed at the axis of the cyclone to improve the strength of the cyclone inner cyclone flow through the spiral fin so that the fine particles involved in the inner cyclone flow are thrown back into the outer cyclone flow area. This paper combines theoretical analysis, experimental study, and numerical simulation to compare and analyze the fluid transport law and internal flow field characteristics in the new cyclone and the basic cyclone, and the results show that the separation efficiency of the new cyclone for 10 µm fine particles is significantly improved and the pressure drop is slightly increased. In this paper, we also optimized the structural parameters such as envelope diameter, pitch, and length of the spiral fins. The separation performance is optimal when the envelope diameter is 10 mm, pitch is 40 mm and length is 240 mm, and the separation efficiency of 10 µm fine particles can reach 65.1%, which is a year-on-year increase of 99.1% compared with the basic separator, and the pressure drop is 0.231 MPa, which is a year-on-year increase of 31.2%.

КЛАСТЕРЫ ЦИКЛОНОВ И ИХ ВЛИЯНИЕ НА РАЗМЫВ БЕРЕГОВ КАЛИНИНГРАДСКОЙ ОБЛАСТИ

The shores of the Kaliningrad Region (the Russian part of the South-Eastern Baltic Sea) are regularly exposed to extreme storms, which leads to intensive abrasion and flooding of the land. Based on archival data, meteorological monitoring, forecast and synoptic maps, an analysis of extreme storms observed in the autumn-winter periods of the early 21st century was done. The cyclone type was determined using the HYSPLIT (Hybrid Single Particle Lagrangian Integrated Trajectory Model), which makes it possible to reconstruct the trajectory of the approach of the atmospheric vortex to the coast. The seasons with clusters of storms were identified, when deep cyclones affected the coasts of the Kaliningrad Region in a relatively short time. Regardless of the type of trajectory, storms cause destruction of both natural and infrastructure objects. But the shores of the northern exposure are most susceptible to destruction by “diving” cyclones, the wave regime of which has a high potential energy. Earlier it was noted that the frequency of cyclones with northerly winds increases. Clusters of northern cyclones are especially dangerous, as was in January 2022, when 4 atmospheric eddies affected the coast with an interval of several hours to 2–3 days. When the water level was high, the waves crashed on the coast, causing catastrophic damage. The coastal monitoring revealed numerous destruction of the banks, breakthroughs of the foredune, both flooding and collapse of forests, critical damage to coast protection and engineering structures, and infrastructure facilities. Dozens of hectares of coastal territories have been lost. There are environmental problems associated with numerous emissions into the marine environment of a huge amount of anthropogenic mega-, macro-, meso-, micro-garbage with a predominance of plastic after extreme storms.

A Comparison of Different Station Data on Revealing the Characteristics of Extreme Hourly Precipitation Over Complex Terrain: The Case of Zhejiang, China

AbstractBoth long‐term but small number of national stations and short‐term but large number of regional stations have been frequently used to study the extreme hourly precipitation (EXHP) in China. However, few studies focus on the differences of the two for revealing the features of EXHP. In this study, the characteristics of EXHP in Zhejiang Province are investigated using three rainfall data sets at three threshold criteria. The comparison between different data sets shows that increasing the station density can better reflect the climatic spatial distribution of EXHP thresholds if long‐term data is absent. The majority of EXHP can be classified into four weather types: the southwesterly wind type (30.7%–48.5%), the trough type (12.2%–23.6%), the tropical cyclone (TC) type (11.4%–17.5%) and the easterly wind type (4.9%–17.9%). The selection of stations is more sensitive to the proportions of the four weather types than the statistical years and threshold criteria. The monthly and diurnal variations of EXHP, as well as their differences revealed by the three data sets, are varied by weather type. Only using national stations cannot distinguish the spatial differences between the TC type and the easterly wind type, and there is an underestimation for southwesterly wind type and trough type in the mountainous area of southwest Zhejiang. The statistical year and station height are the main reasons for the differences in the duration of EXHP events calculated by different data sets, with the TC type having the largest effect and the southwesterly wind type the smallest.

Computational fluid dynamics analysis of the airflow field inside a cyclone of a combine harvester with adjustable blocks

Existing combine harvesters used for rapeseed still have challenges. To simplify the structure of the harvester and reduce losses a new type of cyclone is proposed as a cleaning device. It has several spiral arranged adjustable magnetic blocks fitted at the bottom of the cyclone to disrupt and reduce any dead zone in the airflow field. To establish the effect of altering the dead zone of the airflow field, the motion of a single rapeseed in the cyclone was analysed based on the kinematics and dynamics. A simulation model of the cyclone, based on computational fluid dynamics, was established to optimise the arrangement of the magnetic blocks within the cyclone. The influences of helix angle, distance and spiral number of the magnetics blocks on the airflow were explored through a single-factor simulation experiment, which determined the optimal number of spirals as 4. Subsequently, the air velocity of the inlet and materials other than grain (MOG) at the outlet were added as factors to carry out the Box-Behnken designed experiment. Results showed the optimal combination of parameters were an inlet air velocity 4.2 m s−1, a MOG outlet air velocity 27.4 m s−1, a helix angle 64.2° and distance between magnetics blocks 52.4 mm. Bench tests and field experiment were conducted to validate the performance of the cleaning device under the optimum conditions. The results showed that the average cleaning ratio and loss ratio of the rapeseed were 88.96% and 4.12%, respectively.

Numerical simulation and experimental study on cyclone adsorption characteristics of volatile organic compounds (VOCs)

Volatile Organic Compounds (VOCs) are widely concerned owing to their serious harm to the ecological environment and human health. In this paper, the adsorption effect of VOCs on a new type of swirling fluidized bed was studied from two aspects of numerical simulation and experimental research, which expanded the application of the device in the field of VOC removal. It was found that the adsorption efficiency of activated carbon in the cyclone fluidized bed was inversely proportional to the inlet concentration and the height of the spinning core column, and was proportional to the mass of the adsorbent and the diameter of the spinning core column. When SAC-3 activated carbon and cyclone fluidized bed S16–22 were selected, the highest adsorption efficiency was up to 100%, and the damage rate of activated carbon was not more than 3%. The simulation results showed that the maximum axial velocity and the maximum tangential velocity existed in the annular space. The axial velocity and tangential velocity on the cross-section first increased and then decreased with the increase of the radius. The axial velocity was proportional to the flow rate, the diameter, and height of the spinning core. The tangential velocity first increased and then decreased with the increase of the flow rate, diameter, and height of the spinning core. The overall pressure increased with the increase of the flow rate, the pressure increased with the increase of the radius in the cross-section, and the pressure decreased rapidly with the increase of the height in the axial direction. In this paper, a new type of cyclone fluidized bed is used to replace the existing fixed bed and carry bed system, and the optimal activated carbon, the best working conditions, and the best rotary fluidized bed structure are screened by the cyclone fluidized bed experiment.

Social media data extraction for disaster management aid using deep learning techniques

The process of minimizing the damage being caused by disasters through information gathering, information sharing, disaster planning, problem-solving, and decision-making is known as disaster management. Social media generates a lot of information that can be used to provide disaster relief organizations with crucial information. The method under discussion is data extraction from social media during disasters, as social media generates a lot of complex data, much of which is not effectively utilized. Therefore, this study offers a technique for obtaining information from Twitter, the primary social media source, to locate and distribute the crucial aid required in emergency and catastrophe situations.Two distinct classification problems are covered in the study. Firstly, preprocessing the classification of images that are relevant to our inquiry is the first task and secondly, classifying four different types of natural disasters, including earthquakes, floods, cyclones, and wildfires. In this study, we employ Convolution Neural Network (CNN) designs along with the help of Transfer Learning (TL) architectures, wherein the model is trained and tested using the secondary data set. Furthermore, real-time tweets and images that are being extracted from Twitter are validated on the trained models and the accuracy is noted. Additional data pretreatment methods like image augmentation have also been used for preprocessing. Transfer Learning, bottleneck feature of inceptionV3 and a fine-tuning model have been included, following the disaster classification through the CNN model as a means to improve our accuracy up to 98.14%, and attaining 0.82 Precision, 0.86 Recall, and 0.84 F1-Score for Cyclone; 0.96 Precision, 0.89 Recall, and 0.92 F1-Score for Earthquake; 0.74 Precision, 0.95 Recall, and 0.83 F1-Score for Flood and 0.97 Precision, 0.96 Recall, and 0.96 F1-Score for Wildfire classification. Disaster can manifest itself in different forms and generally have a negative impact on the biosphere, resulting in loss of property and the environment. This study aims to effectively exercise the power of social media data for disaster management aid.