Role of Atmospheric Boundary Layer(ABL)Height and Ventilation Coefficient on Urban Air Quality--A study based on Observations and NWP Model

Air pollution is an issue of great concern in any urban region due to its serious health implications.The capital of India,New Delhi continues to be in the list of most polluted cities since 2014.The air quality of any region depends on the ability of dispersion of air pollutants.The height or depth of the atmospheric boundary layer(ABL)is one measure of dispersion of air pollutants.Ventilation coefficient is another crucial parameter in determining the air quality of any region.Both of these parameters are obtained over Delhi from the operational global numerical weather prediction(NWP)model of National Centre for Medium Range Weather forecasting(NCMRWF)known as NCMRWF Unified Model(NCUM).The height of ABL over Delhi,is also obtained from radiosonde observations using the parcel method.A good agreement is found between the observed and predicted values of ABL height.The maximum height of ABL is obtained during summer season and minimum is obtained in winter season.High values of air pollutants are found when the values of ABL height and ventilation coefficient are low.

An Exigency for Ice Core Studies to Determine Spatio-temporal Vari­ability in Moisture Sources and Impact of Black Carbon - Mineral Aerosols on the Himalayan Glaciers

Himalayan glaciers‒the store house of fresh water outside the polar region contributes~45%of the total river flow by glacial melt in the Indus,Ganga and Brahmaputra watersheds which supports the livelihood of~500 million people[1].The sustainability of these rivers is being questioned because of the growing evidences of accelerated glacier retreat in the recent decades,which is expected to have cascading effects on the mountainous areas and their surrounding lowlands.

Some Features of Black Carbon Aerosols Connected with Regional Climate Over Pristine Environment

The authors report the results of aethalometer black carbon(BC)aerosol measurements carried out over a rural(pristine)site,Panchgaon,Haryana State,India during the winter months of 2021-2022 and 2022-2023.They are compared with collocated and concurrent observations from the Air Quality Monitoring Station(AQMS),which provides synchronous air pollution and surface meteorological parameters.Secular variations in BC mass concentration are studied and explained with variations in local meteorological parameters.The biomass burning fire count retrievals from NASA-NOAA VIIRS satellite,and backward airmass trajectories from NOAA-ERL HYSPLIT Model analysis have also been utilized to explain the findings.They reveal that the north-west Indian region contributes maximum to the BC mass concentration over the study site during the study period.Moreover,the observed BC mass concentrations corroborate the synchronous fire count,primary and secondary pollutant concentrations.The results were found to aid the development of mitigation methods to achieve a sustainable climate system.

Cogeneration Potential in the Industrial Sector and Gas Emission Reduction: A Case Study

The aim of the current paper is to discuss the replacement of diesel oil (DO) consumption by natural gas (NG) in a cogeneration system. A specific industrial consumption case study was chosen to be the method used to accomplish a robust analysis. The results have shown the advantages in reducing CO2, CH4, N2O and particulate matter emissions, as well as the need to keep the NOx emission rates. After proceeding with theoretical studies concerning our case, we concluded that the diesel oil replacement by natural gas is beneficial for gas emission reduction. Public policies should consider local development based on the use of different fuels, such natural gas, to achieve the integration between decentralized energy generation and energy-efficient initiatives.

Pollution of Airborne Fungi in Naturally Ventilated Repositories of the Provincial Historical Archive of Santiago de Cuba (Cuba)

Environmental fungi can damage the documentary heritage conserved in archives and affect the personnel’s health if their concentrations,thermo-hygrometric parameters and ventilation conditions are not adequate,problems that can be accentuated by Climate Change.The aims of this work were to identify and to characterize the airborne fungal pollution of naturally ventilated repositories in the Provincial Historical Archive of Santiago de Cuba and predict the risk that these fungi pose to the staff’s health.Indoor air of three repositories of this archive and the outdoor air were sampled in an occasion every time in 2015,2016 and 2017 using a SAS sampler.The obtained fungal concentrations varied from 135.6 CFU/m^(3) to 421.1 CFU/m^(3) and the indoor/outdoor ratios fluctuated from 0.7 to 4.2,evidencing a variable environmental quality over time,but in the third sampling the repositories environments showed good quality.Aspergillus and Cladosporium were the predominant genera in these environments.A.flavus was a prevailed species in indoor air,while A.niger and Cl.cladosporioides were the species that showed the greatest similarities with the outdoor air.Coremiella and Talaromyces genera as well as the species Aspergillus uvarum,Alternaria ricini and Cladosporium staurophorum were the first findings for environments of Cuban archives.Xerophilic species(A.flavus,A.niger,A.ochraceus,A.ustus)indicators of moisture problems in the repositories were detected;they are also opportunistic pathogens and toxigenic species but their concentrations were higher than the recommended,demonstrating the potential risk to which the archive personnel is exposed in a circumstantial way.

Indoor Air Pollution and Its Determinants in Household Settings in Jaipur, India

Individuals spend 90% of their time indoors, primarily at home or at work. Indoor environmental factors have a significant impact on human well-being. It was a longitudinal study that assessed the major factors that reduce indoor air quality, namely particulate matter, and bio-aerosols, using low-cost sensors and the settle plate method, respectively also to determine the effect of atmospheric parameters and land use patterns in households of commercial, industrial, residential, slum, and rural areas of the city. PM2.5 concentration levels were similar in most parts of the day across all sites. PM10.0 concentration levels increased indoors in a commercial area. PM2.5 concentration showed a negative correlation with temperature and a positive correlation with relative humidity in some areas. Very high values of PM2.5 concentration and PM10.0 concentration have been observed in this study, inside households of selected rural and urban areas. Pathogenic gram-positive cocci, gram-positive rods, Aspergillus, and Mucor species were the most common bacterial and fungal species respectively found inside households. This study examined particulate matter concentration along with bio-aerosols, as very less studies have been conducted in Jaipur the capital of Rajasthan, a state in the western part of India which assessed both of these factors together to determine the indoor air quality. Rural households surrounding the periphery of the city were found to have similar pollution levels as urban households. So, this study may form the basis for reducing pollution inside households and also for taking suitable measures for the reduction of pollution in the indoor environment.

Ensemble Cloud Model Application in Simulating the Catastrophic Heavy Rainfall Event

An attempt has been made in the present research to simulate a deadly flash-flood event over the City of Skopje,Macedonia on 6 August 2016.A cloud model ensemble forecast method is developed to simulate a super-cell storm’s initiation and evolutionary features.Sounding data are generated using an ensemble approach,that utilizes a triple-nested WRF model.A three-dimensional(3-D)convective cloud model(CCM)with a very fine horizontal grid resolution of 250-m is initialized,using the initial representative sounding data,derived from the WRF 1-km forecast outputs.CCM is configured and run with an open lateral boundary conditions LBC,allowing explicit simulation of convective scale processes.This preliminary study showed that the ensemble approach has some advantages in the generation of the initial data and the model initialization.The applied method minimizes the uncertainties and provides a more qualitative-quantitative assessment of super-cell storm initiation,cell structure,evolutionary properties,and intensity.A high-resolution 3-D run is capable to resolve detailed aspects of convection,including high-intensity convective precipitation.The results are significant not only from the aspect of the cloud model’s ability to provide a qualitative-quantitative assessment of intense precipitation but also for a deeper understanding of the essence of storm development,its vortex dynamics,and the meaning of micro-physical processes for the production and release of large amounts of precipitation that were the cause of the catastrophic flood in an urban area.After a series of experiments and verification,such a system could be a reliable tool in weather services for very short-range forecasting(now-casting)and early warning of weather disasters.

Main Characteristics of Dust Storms and Their Radiative Impacts: With a Focus on Tajikistan

known aridity of the region is a major factor in promoting numerous dust storms. They have many diverse impacts on the environment and the climate of the region. The classification of dust storms and synoptic conditions related to their formation in Central Asia are discussed in the content of their diverse impact. We address dust optical properties that are representative of the region. Dust storms significantly reduce visibly and pose a human health threads. They also cause a significant impact on the radiative regime. As a result, dust storms may cause a decrease in temperature during daytime of up to 16℃ and an increase in temperature during night time from up to 7℃ compared to a clear day.

Spatial and Temporal Variation of Particulate Matter (PM10 and PM2.5) and Its Health Effects during the Haze Event in Malaysia

This study aims to assess and compare levels of particulate matter(PM10 and PM2.5)in urban and industrial areas in Malaysia during haze episodes,which typically occur in the south west monsoon season.The high concentrations of atmospheric particles are mainly due to pollution from neighbouring countries.Daily PM concentrations were analysed for urban and industrial areas including Alor Setar,Tasek,Shah Alam,Klang,Bandaraya Melaka,Larkin,Balok Baru,and Kuala Terengganu in 2018 and 2019.The analysis employed spatiotemporal to examine how PM levels were distributed.The data summary revealed that PM levels in all study areas were right-skewed,indicating the occurrence of high particulate events.Significant peaks in PM concentrations during haze events were consistently observed between June and October,encompassing the south west monsoon and inter-monsoon periods.The study on acute respiratory illnesses primarily focused on Selangor.Analysis revealed that Klang had the highest mean number of inpatient cases for acute exacerbation of bronchial asthma(AEBA)and acute exacerbation of chronic obstructive pulmonary disease(AECOPD)with values of 260.500 and 185.170,respectively.Similarly,for outpatient cases of AEBA and AECOPD,Klang had the highest average values of 41.67 and 14.00,respectively.Shah Alam and Sungai Buloh did not show a significant increase in cases during periods of biomass burning.The statistical analysis concluded that higher concentrations of PM were associated with increased hospital admissions,particularly from June to September,as shown in the bar diagram.Haze episodes were associated with more healthcare utilization due to haze-related respiratory illnesses,seen in higher inpatient and outpatient visits(p<0.05).However,seasonal variability had minimal impact on healthcare utilization.These findings offer a comprehensive assessment of PM levels during historic haze episodes,providing valuable insights for authorities to develop policies and guidelines for effective monitoring and mitigation of the negative impacts of haze events.

Perceiving the Trend of Terrestrial Climate Change during the Past 40 year(1978-2018)

In past few decades,climate has manifested numerous shifts in its trend.Various natural and anthropogenic factors have influenced the dynamics and the trends of climate change at longer time scale.To understand the long term climate fluctuations,we have analyzed forty years(1978-2018)data of ten climatic parameters that are responsible to influence the climate dynamics.The parameters involved in the present study are total solar irradiance(TSI),ultra violet(UV)index,cloud cover,carbon dioxide(CO2)abundances,multivariate(ENSO)index,volcanic explosivity index(VEI),global surface temperature(GST)anomaly,global sea ice extent,global mean sea level and global precipitation anomaly.Using the above mentioned climate entities;we have constructed a proxy index to study the quantitative measure of the climate change.In this process these indicators were aggregated to a single proxy index as global climate index(GCI)that has measured the strength of present climate change in semblance with the past natural variability.To construct GCI,the principal component analysis(PCA)has been used on yearly based data for the period 1978-2018.Actually PCA is a statistical tool with which we can reduce the dimensionality of the data and it retains most of the variation in the new data set.Further,we have confined our study to natural climate drivers and anthropogenic climate drivers.Our result has indicated that the strongest climate change has been occurred globally by the end of the year 2018 in comparison to late 1970’s natural variability.

Characterization of PM2.5 Mass Concentration in the Onshore of Sanya, China

Numbers of real-time data(E-BAM)of PM2.5 were collected in the period from Jan 8th 2012 to Jan 1st 2013 at the laboratory of Tropical Ocean University(Sanya,China).The average mass concentration was 19.7μg/m³.The highest 40.5μg/m³in October compared to the lowest 14.1μg/m³in July.From a seasonal perspective,the average PM2.5 mass concentration in fall and winter are relatively higher than that in both spring and summer.On the basis of satellite map of fire points and backward trajectories of the air masses,we primarily deduced that the PM2.5 in Sanya may be caused by the biomass burning and industrial pollutants from the area of Pearl River Delta of China and the Indo-China peninsula(e.g.Vietnam,Laos).

Evaluation of the Mechanisms Acting on the Atlantic Meridional Overturning Circulation in CESM2 for the 1pctCO_(2) Experiment

The Atlantic Meridional Overturning Circulation(AMOC)is a crucial component of the Earth’s climate system due to its fundamental role in heat distribution,carbon and oxygen transport,and the weather.Other climate components,such as the atmosphere and sea ice,influence the AMOC.Evaluating the physical mechanisms of those interactions is paramount to increasing knowledge about AMOC’s functioning.In this study,the authors used outputs from the Community Earth System Model version 2 and observational data to investigate changes in theAMOC and the associated physical processes.Two DECK experiments were evaluated:piControl and 1pctCO_(2),with an annual increase of 1%of atmospheric CO_(2).The analysis revealed a significant decrease in the AMOC,associated with changes in mixed layer depth and buoyancy in high latitudes of the North Atlantic,resulting in the shutdown of deep convection and potentially affecting the formation of North Atlantic Deep Water and Antarctic Bottom Water.A vital aspect observed in this study is the association between increased runoff and reduced water evaporation,giving rise to a positive feedback process.Consequently,the rates of freshwater spreading have intensified during this period,which could lead to an accelerated disruption of the AMOC beyond the projections of existing models.

Atmospheric Carbon Dioxide and Climate

Atmospheric radiative fluxes are evaluated for the line-by-line model of spectral lines in considering the atmosphere as a weakly nonuniform plane layer and altitude profiles of its parameters are taken from the model of standard atmosphere.Concepts of molecular spectroscopy are combined with the local thermodynamic equilibrium for greenhouse gases and with information from HITRAN data base for parameters of radiative transitions.In addition,the energetic balance of the Earth allows one to determine the radiative flux from clouds.As a result,the algorithm is worked out for evaluation of the atmospheric radiative flux toward the Earth depending on its composition.We below concentrate on the change of atmospheric radiative fluxes as a result of doubling of the concentration of CO2 molecules.It is shown that the change of the global temperature in this case according to the above algorithm in 5-6 times exceeds that followed from climatological models which are based on old spectral data,rather than those from HITRAN data base.These codes ignore overlapping of spectral lines of atmospheric radiators.

GIS&Remote Sensing Based Morphometric Parameters and Topographic Changes of the Lower Orashi River in Niger Delta Desmond

In watershed hydrology,the morphometric features of a river basin are vital to examine the lower Orashi River basin morphological and hydrological aspects,as well as its flood potential,based on their morphometric characteristics using remotely sensed SRTM data that was analyzed with ArcGIS software.The areal,linear,and relief aspects of the Orashi River basin were examined as morphometric parameters.The lower Orashi river basin,according to the findings,has a total size of 625.61 km2 and a perimeter of 307.98 km,with a 5th order river network based on Strahler categorization and a dendritic drainage pattern.Because of low drainage density,the drainage texture is very fine,the relief is low,and the slope is very low.Bifurcation ratio,circularity ratio,drainage density aspect ratio,form factor,and stream frequency values indicate that the basin is less elongated and would produce surface runoff for a longer period,while topographic changes show that the river is decreasing with depth in the land area at about the same elevation as a result of sand deposited due to lack of maintenance by dredging,which implies that the basin is morphometrically elevated and sensitive to erosion and flooding.To understand geo-hydrological features and to plan and manage watersheds,morphometric analysis based on geographic information systems and remote sensing techniques is beneficial.

Climate Induced Virus Generated Communicable Diseases:Management Issues and Failures

In the present review article human diseases caused by various groups of pathogens have been explained with its etiology,epidemiology and treatment.In addition,effect of climatic changes on parasites and pathogens has been demarcated with rising incidences of diseases.In response to environmental changes,mainly external and internal microenvironment of body and drug regimens taken by patients;virus is regularly changing its form and new mutant variants are coming out.These are circulating in many Indian states and cross border countries and causing high infectivity and mortality in human patients.These variants with new mutations are challenging existing drugs and other prophylactic measures and massively disrupting functions of a tissue,organ,or entire organism.Diseases caused by viruses are showing new trends in virulence,with high infectivity,morbidity and mortality.Due to climatic effect and drug resistance and new mutations in pathogens disease burden has been exacerbated enormously at global level.In all cases of helminthes,protozoan’s,fungi,bacteria,virus pathogens and parasites available drug structure seem to be failed or their usefulness has been much reduced due to evolution of new mutant variants with multiple drug resistance.There are serious failures at the level of operation,management and control of disease.The utmost failure is due to lack of appropriate vaccine,drug regimens,clinical care and awareness among people.These are major reasons that is why diseases become uncontrolled and unmanageable.

Kinetics of the Oxidation of Hydrogen Sulfide by Atmospheric Oxygen in an Aqueous Medium

Hydrogen sulfide is an important acid rain precursor and this led us to investigate the kinetics of its oxidation in aqueous phase by atmospheric oxygen.The kinetics was followed by measuring the depletion of oxygen in a reactor.The reaction was studied under pseudo order conditions with[H2S]in excess.The kinetics followed the rate law:-d[O_(2)]/dt=k[S][O_(2)]_(t)(A)Where[S]represents the total concentration of hydrogen sulfide,[O_(2)]_(t)is the concentration of oxygen at time t and k is the second order rate constant.The equilibria(B-C)govern the dissolution of H_(2)S;the sulfide ion in water forms different species:H_(2)S K1→←HS^(-)+H_(+)(B)HS^(-)K2→←S^(2-)+H^(+)(C)Where K_(1)and K_(2)are first and second dissociation constants of H_(2)S.Although,H_(2)S is present as undissociated H_(2)S,HS^(-)and S^(2-)ions,nature of[H^(+)]dependence of reaction rate required only HS^(-)to be reactive and dominant.The rate law(A)on including[H^(+)]dependence became Equation(D).-d[O_(2)]/dt=k_(1)K_(1)[H^(+)][S][O_(2)]_(t)/([H^(+)]^(2)+K_(1)[H^(+)]+K_(1)K_(2))(D)Our results indicate anthropogenic VOCs such as acetanilide,benzene,ethanol,aniline,toluene,benzamide,o-xylene,m-xylene,p-xylene and anisole to have no significant effect on the reaction rate and any observed small effect is within the uncertainty of the rate measurements.

WITHDRAWN: High-Resolution Radiometer for Remote Sensing of Solar Flare Activity from Low Earth Orbit Satellites

This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause.

Wavelet Analysis of Average

The identification method in the CurveExpert-1.40 software environment revealed asymmetric wavelets of changes in the average monthly temperature of New Delhi from 1931 to 2021.The maximum increment for 80 years of the average monthly temperature of 5.1℃was in March 2010.An analysis of the wave patterns of the dynamics of the average monthly temperature up to 2110 was carried out.For forecasting,formulas were adopted containing four components,among which the second component is the critical heat wave of India.The first component is the Mandelbrot law(in physics).It shows the natural trend of decreasing temperature.The second component increases according to the critical law.The third component with a correlation coefficient of 0.9522 has an annual fluctuation cycle.The fourth component with a semi-annual cycle shows the influence of vegetation cover.The warming level of 2010 will repeat again in 2035-2040.From 2040 the temperature will rise steadily.June is the hottest month.At the same time,the maximum temperature of 35.1℃in 2010 in June will again reach by 2076.But according to the second component of the heat wave,the temperature will rise from 0.54℃to 16.29°C.The annual and semi-annual cycles had an insignificant effect on the June temperature dynamics.Thus,the identification method on the example of meteorological observations in New Delhi made it possible to obtain summary models containing a different number of components.The temperature at a height of 2 m is insufficient.On the surface,according to space measurements,the temperature reaches 55°C.As a result,in order to identify more accurate asymmetric wavelets for forecasting,the results of satellite measurements of the surface temperature of India at various geographical locations of meteorological stations are additionally required.

Identification of Black Dragon forest fire in Amur River Basin Using Satellite Borne NDVI Data and Its Impact on Long Range Transport of Pollutants:A Case Study

The Greater Hinggan Forest was the world’s largest stand of evergreens,along the Black Dragon River(also known as Amur),which forms the border between Chinese Manchuria and Soviet Siberia.Black Dragon fire ranks as one of the worst environmental disasters of the 20th century and it burned about 18 million acres of conifer forest.In the 2nd week of May,1987,we observe more than 10K rise in brightness temperature over a wide region in the China-Russia border.The weekly mean NDVI data shows the changes in greenness after the forest fire broke out.The NDVI value is positive with persistent greenness and vegetation in the Amur River valley,but from the 2nd week of May onwards the reddish patch appears to spread over the entire region,indicates the burned areas.In addition,we observe the impact of Black Dragon forest fire on tropospheric ozone concentration,aerosol index away from the location over North Pacific Ocean.A clear increase in atmospheric pollutants can be noticed after the forest fire event and the long range transports are confirmed with 72 hours NOAA HYSPLIT forward trajectory analysis.

Asymmetric Mean Annual Temperature Wavelets Surface Air Layer of Berlin for 1701-2021

The regularities of the dynamics of the average annual temperature of Ber­lin from 1701 to 2021 are revealed.A total of 65 wavelets were received.The temperature has a high quantum certainty,and the change in the aver­age annual temperature of Berlin was identified by a model that contains only two components for prediction.The basis of the forecast at 320 years makes it possible to look into the future until the year 2340.The forecast confirms the conclusions made in the CMIP5 report on global warming.With an increase in the number of components in the model up to five,the forecast is possible only until 2060.Therefore,the model with only two components is workable.The trend is characterized by a modified Man­delbrot equation showing exponential growth with a high growth rate of 1.47421.The wave equation also has an amplitude in the form of the Man­delbrot law(in mathematics,the Laplace law,in biology,the Zipf-Pearl law,in econometrics,the Pareto law),when the exponential growth activity is equal to 1.For 1701,the period of oscillation was 2×60.33333≈120.7 years.By 2021,the period decreased and became equal to 87.6 years.The trend is such that by 2340 the period of oscillation will decrease to 30.2 years.Such an increase in fluctuations indicates an imbalance in climate disturbances in temperature in Berlin.For Berlin,the last three years are characterized by sharp decreases in the average annual temperature from 11.8℃ to 10.5℃,i.e.by 12.4% in 2021.Therefore,the forecast is still unstable,as a further decrease in the average annual temperature of Berlin in the near future may change the picture of the forecast.