Western Part Of India Research Articles

Identification of Sulfur Dioxide (SO2) Hotspots of Gujarat state using Sentinel 5P-TROPOMI

Sulphur dioxide (SO2) is a widely recognized pollutant with far-reaching consequences for human health, climate, and the environment. This study aims to identify SO2 hotspots within the state of Gujarat located in the western part of India using the Sentinel 5P TROPOMI satellite data. Based on the analysis of the satellite data from January 2019 to 2023, 16 hotspot regions were identified in Gujarat with significantly high concentration of SO2. Majority of these hotspots were located in industrial areas and petroleum refineries, including Mundra port, Ahmedabad, Vadodara, Surat, and the Alang shipbreaking yard. Notably, some scattered hotspots were found near Eco-sensitive zones like Purna and Narayan Sarovar. The observed SO2 concentrations in these hotspots vary between ~ 10 to ~ 1000 µmol/m2, with an average concentration of ~ 300 µmol/m2. It is also observed that SO2 concentration is significantly elevated during winter and pre-summer months, with a marked reduction during the monsoon season. The average monthly SO2 concentrations exhibit a distinct seasonal cycle, with the lowest levels during the monsoon and the highest during winter. Furthermore, impact of COVID induced lockdown is also perceived across the state.

Exploring Air Quality Dynamics and Predictive Modeling by Using Artificial Intelligence During COVID-19 Lock Down Over the Western Part of India

The lockdown period, initially imposed for three months due to the COVID-19 outbreak in India, was later prolonged. Air quality data from eight monitoring sites in Rajasthan was used to calculate the AQI according to the following parameters: Particulate matter (PM2.5 and PM10), Nitrogen Dioxide (NO2), Ammonia (NH3), Sulfur dioxide (SO2), Ozone (O3), and Carbon monoxide (CO), dispersed throughout the state by CPCB. Among the chosen cities, the study found that the AQI percentage dropped the most in Alwar, by 35.6% between pre-lockdown and lockdown. Conversely, it rose the most in Jaipur, by 86.77% between lockdown and post-lockdown. Python deep learning was used to simulate the relationship between Air Quality Index and Air contamination in the study area. Air quality index values ranging from Good (0–50) to Severe (>401) were used to create the AQI class categorization in Python. The study found that PM2.5 and PM10 had the strongest correlation. Metrics such as the coefficient of determination (R2) and the root mean square error (RMSE) were applied to assess the model on the datasets used for training and testing. Random forest, decision trees, and linear regression were worked to verify the precision of the prototype. The author used supervised learning techniques, such as decision tree (DT), extreme gradient boosting (XGBoost), K-nearest neighbor (KNN), logistic regression (LR), and random forest (RF), to determine the model's prediction. These findings suggest that urban areas are characterized by societal, commercial, and cultural aspects that contribute to similar discharge patterns and air quality issues. The study would be advantageous for authorities, as it is clearly apparent that reducing the sources of emissions can improve quality. This will set the stage for safeguarding and improving the environment.

Physiological adaptations of lucerne under a limited irrigation system

A field study was conducted to identify the physiological tolerance mechanism of lucerne to limited irrigations. Lucerne needs irrigation once in 10 days. So, limited irrigation treatment was imposed once every 25 days. In the initial part of the experiment, accessions collected from the western part of India were screened for biomass potential under limited irrigation in an augmented RBD design. Accessions that performed well under these conditions were grown under temporal isolation, and seeds were collected. In the second part, a field experiment was conducted at SRRS, ICAR-IGFRI, Dharwad, from December 2018 to March 2020 to screen lucerne accessions under limited irrigation to identify the physiological and morphological characters that are required to impart tolerance in lucerne under the cut and carry limited irrigation system. An RBD design was adopted to screen 12 lucerne accessions under limited and full irrigated conditions. Accessions that maintained good persistence under limited irrigation also performed significantly (Acc38/2010, Acc23/2010, A2) regarding yield. Persistence during the juvenile phase depended on conductance, osmotic adjustment and antioxidant capacity. Accessions showed a constant increase in the number of branches after each harvest under limited irrigation was promising in yield performance. Specific-leaf weight (SLW), crude protein, conductance, increased number of branches, and persistence were significantly and positively correlated with yield.

Spatial prevalence and associated risk factors of childhood diarrhea: A cross-sectional study in rural Indian context

Diarrheal disease is the most prevalent health issue among children under the age of five, contributing to a staggering toll of approximately 525,000 deaths worldwide each year. Despite its devastating consequences, it is essential to note that this disease is both preventable and treatable. The present study aims to investigate the prevalence of childhood (under 5 years) diarrheal disease in rural parts of India and identify relevant factors associated with diarrheal disease, encompassing maternal, household, environmental, and individual-level characteristics. In addition, the study highlights the spatial distribution of diarrheal disease across India, identifying hot-spot and cold-spot regions, along with the associated risk factors. The study utilized secondary data extracted from the fifth round of the National Family Health Survey, conducted in India between 2019 and 2021 (N=161,368). Binary logistic regression analysis and spatial clustering techniques, specifically utilizing Global Moran’s I, were employed to achieve the study’s objectives. The findings revealed that diarrhea cases are more prevalent among the poor, rural, and children of Muslim families, as well as among those residing in environments lacking hygienic or adequate sanitation facilities and in households without floors, walls, or roofs built with concrete material. The highest prevalence is observed in the eastern and western parts of India. Necessary interventions are required to reduce diarrhea cases among children under the age of five in rural Indian areas. Given the vector-borne nature of this disease, public awareness of the importance of maintaining fresh and clean drinking water facilities is imperative.

To study the socio-demographic profile and clinical profile of abnormal uterine bleeding cases attending new civil hospital, Surat, Western India

There are so many concerns and worries about menstruation. With the use of advance method of contraception, women are experiencing more menstrual related problems. Now a days, menstrual related complaints are more common in gynaec clinic. So, we had conducted this study to document the sociodemographic and clinical profile among the attendees of gynaec clinic with menstrual related problem. Observational cross-sectional study carried out in western part of India with 100 patients after their written informed consent. Data were collected on pre-designed semi structured questionnaire which consist of sociodemographic and clinical questions. All data were entered in MS excel spreadsheet and analyzed with the help of SPSS V.20. Current study reported 8% of new Gynaec attendees had problem of abnormal uterine bleeding. Majority of patients were belonging to age group 21 years to 40 years (83%) and most of the patients were multipara (75%). Commonest complains among patients were menorrhagia (80%). Most of the patients were reported haemoglobin of less than 12 mg/dl.: Abnormal uterine bleeding is a distressing problem for women in their reproductive age groups especially in 21 years to 40 years.

Assessment of the geothermal potential zone of India utilizing GIS-based multi-criteria decision analysis technique

India, with 80 % energy demand reliant on fossil fuels, is the world's third-largest greenhouse gas emitter, necessitating a shift from fossil fuels to renewable energy. While solar and wind production has grown, geothermal energy remains untapped despite enormous prospects in the country. In this regard, India's first regional-scale geothermal potential (GP) map has been prepared using a GIS based on a multi-criteria decision analysis technique. Five thematic layers (geology, fault, heat flow, thermal spring, and earthquake epicenter) have been used to calculate GP index, which is divided into high, moderate, and low categories. The result shows that most geothermal drilling sites are distributed in the high GP category zone, showing high efficacy. Further, a joint study of the geothermal surface and reservoir temperature with the present study shows that the northern and western parts of India have significant potential for geothermal exploration. Our result also reveals that the projected CO2 emissions are approximately 2.6 gigatons (which is lower than other energy sources) for an output of 10 GW using geothermal energy in the next 75 years. This study can enhance geothermal prospect identification, cutting exploration costs, and site selection, and contributing to multiple UN Sustainable Development Goals.

Agroecosystem exploration for Antimicrobial Resistance in Ahmedabad, India: A Study Protocol.

Antimicrobial resistance (AMR) has emerged as one of the leading threats to public health. AMR possesses a multidimensional challenge that has social, economic, and environmental dimensions that encompass the food production system, influencing human and animal health. The One Health approach highlights the inextricable linkage and interdependence between the health of people, animal, agriculture, and the environment. Antibiotic use in any of these areas can potentially impact the health of others. There is a dearth of evidence on AMR from the natural environment, such as the plant-based agriculture sector. Antibiotics, antibiotic-resistant bacteria (ARB), and related AMR genes (ARGs) are assumed to present in the natural environment and disseminate resistance to fresh produce/vegetables and thus to human health upon consumption. Therefore, this study aims to investigate the role of vegetables in the spread of AMR through an agroecosystem exploration in Ahmedabad, India. The present study will be executed in Ahmedabad, located in Gujarat state in the Western part of India, by adopting a mixed-method approach. First, a systematic review will be conducted to document the prevalence of ARB and ARGs on fresh produce in South Asia. Second, agriculture farmland surveys will be used to collect the general farming practices and the data on common vegetables consumed raw by the households in Ahmedabad. Third, vegetable and soil samples will be collected from the selected agriculture farms and analyzed for the presence or absence of ARB and ARGs using standard microbiological and molecular methods. The analysis will help to understand the spread of ARB/ARGs through the agroecosystem. This is anticipated to provide an insight into the current state of ARB/ARGs contamination of fresh produce/vegetables and will assist in identifying the relevant strategies for effectively controlling and preventing the spread of AMR.

An analytical study on the effect of different photovoltaic technologies on enviro-economic parameter and energy metrics of active solar desalting unit

The enviro-economic and energy metrics analyses of the solar system by incorporating different photovoltaic technologies are required to fulfill the sustainable development goal of the United Nations. However, the effect of different photovoltaic technologies on the solar distillation system has not been informed by any of the researchers to date. This research gap has been explored in this study. The present manuscript is an endeavour to explore the best photovoltaic technology aimed at a single-slope solar desalting unit comprised of N identical photovoltaic thermal flat-plate-collectors. Data regarding all four weather conditions for a year for New Delhi's climate have been procured from the Indian Meteorological Department situated in the western part of India. Fundamental equations along with input data have been provided to a computational code developed in MATLAB for the estimation of various performance parameters. Concludingly, the energy payback time is minimum (1.64 years) for the case of copper indium gallium selenide photovoltaic technology, however, maximum values of life cycle conversion efficiency and net CO2 mitigation are respectively 0.171 and 199.10 tons of CO2 for the case of crystalline silicon photovoltaic technology. The carbon credit is also found to be a maximum (15269.25 US$) for crystalline silicon photovoltaic technology.

Preparedness, knowledge, and perception of nursing students about climate change and its impact on human health in India

Higher education plays an important role in all aspects of sustainability. Infusing climate change and sustainability into the curriculum is important to prepare future health-care professionals for climate change and sustainability actions to build resilient health systems. In this study, we evaluated the preparedness, knowledge, and perception regarding climate change and its impact on human health among Indian nursing students. A quantitative descriptive survey was conducted among 644 undergraduate nursing students studying in three institutes in the southern, northern, and western parts of India. We used a structured online questionnaire with established validity and reliability to collect data. The data were analyzed using Statistical Package for the Social Sciences version 26 software. The results showed that more than half of the students reported experiencing excessive increase (362; 56.2%) and decrease (374; 58.1%) in temperature in recent years. Though more than three quarters of the students (494; 76.7%) accepted the general truth that climate change is mainly caused by human activities, only less than half of the students (309; 48.0%) perceived the impact of climate change to be high. Three quarters of the students (483; 75.0%) had a high level of knowledge regarding climate change. The students who had a high level of knowledge about climate change exerted a high perceived impact of climate change (χ2=75.47; P<0.01). More than half of the students (50.9%) felt that they needed information about climate change to be included in the nursing curriculum, and only one sixth of the students (16.1%) were highly confident about engaging in climate change-related conversation with patients. Most of the students who participated in the study had basic knowledge about climate change and its impact on human health. However, there is an observed gap between knowledge and their preparedness and confidence to engage in climate change actions. Hence, we propose to strengthen the nursing curriculum by integrating various curricular and co-curricular activities related to climate change, so that future nurses are empowered to become climate change advocates.

Prevalence and predictors of high-frequency hearing loss among mine workers in Gujarat, western India: a cross-sectional study on the need to implement a comprehensive hearing conservation program.

High-frequency hearing loss (HFHL) stands as a prevalent occupational morbidity globally, with numerous associated risk factors, some of which are modifiable. In the context of a comprehensive hearing conservation program, the initial steps involve early screening and identification of workers with these modifiable risk factors, aiming to reduce the prevalence of hearing loss. Our objective was to estimate the prevalence of HFHL and determine its predictors among mine workers. We conducted a cross-sectional study among 226 mine workers in ten open-cast mines in Gujarat state, the western part of India, in November 2020. We collected data on socio-demography, addiction, occupation history and comorbidities, along with anthropometric, blood pressure, and blood sugar measurements. Audiometric evaluations using a portable diagnostic audiometer were employed to assess HFHL, defined as a hearing threshold exceeding 25 decibels (dB) at high frequencies (3000, 4000, 6000, and 8000Hz). A generalized linear model (GLM) with a binomial family was performed to determine the predictors significantly predicting HFHL after adjusting for confounding variables. The prevalence of HFHL was 35% (95% CI: 29-42%) in our study setting. Office workers demonstrated a prevalence of 19%, whereas other job categories displayed a higher prevalence of 42%, resulting in a significant prevalence difference of 23% and a prevalence ratio of 2.2. The GLM analysis revealed that variables, such as noise exposure during work [adjusted prevalence ratio (aPR) 2.3 (95% CI: 1.2-4.7, p=0.018)] and noise exposure duration [aPR 1.1 (95% CI: 1.0-1.1, p=0.042)], were significant predictors of HFHL. In our study setting, mine workers exhibited a high prevalence of HFHL, with exposure to workplace noise and duration being modifiable predictors. Because HFHL advances slowly and is generally undetected by the individual, we recommend periodic testing using audiometry to identify it among mine workers and, if possible, shifting them from mining activities to office. Furthermore, we advocate for the implementation of a comprehensive hearing conservation program to the extent possible.

Factors affecting land value of urban voids in western part of India

Urban voids are the key determining factors to utilize efficient manner for sustainable development. These areas need to be understood through their land potentials. Land valuation determines the value of urban voids based solely on their natural characteristics. The research papers present a papered examination of land value modeling and its influencing factors. The study concentrates on Jaipur, the capital city of Rajasthan, selected as the research area. The land value modeling process consists of three stages. Initially, various approaches and issues have been identified for land valuation. In the second stage, factors have been identified for land valuation. Lastly, land valuation methods such as the ordinary least squares (OLS) regression have been used. The primary factors influencing land value in the research area include distance to major highways, proximity to schools, railway lines, specific communities, availability of infrastructure, etc. Interestingly, variables such as slum area, landfill, rail line, and proximity to specific communities exhibit an inverse relationship. This research provides valuable insights into the localized variations in land prices within an Indian city.

METAPLASTIC CARCINOMA BREAST: A CASE SERIES

Introduction: Metaplastic breast carcinoma is a distinct histological type of breast cancer and comprises of two components ofboth epithelial &amp; mesenchymal type in a single tumor. It includes adenosquamous, squamous cell carcinoma (SCC), spindle cell carcinoma, metaplastic carcinoma with mesenchymal differentiation, mixed carcinoma and myoepithelial carcinoma. Materials and Methods: The study comprises of 5 cases of Metaplastic Breast carcinoma and was conducted in the Department of Pathology in Western part of India. Discussion: MBC is characterized by adenocarcinoma admixed with spindle cells, squamous cells and mesenchymal differentiation. Among the five cases in the present series, two cases showed lymph nodes metastasis. Commonlyimmunohistochemistry (IHC) markers in cases of MBC shows triple negative for estrogen receptor (ER), progesterone receptor (PR) and HER2-neu. Conclusion: The MBC has a poor prognosis and have a diverse clinical behavior, variable histology and different regime of treatment.

Nosocomial infections in patients admitted in medical intensive care units in a tertiary health center in Western part of India and their hematological correlation

Background and Aim: Acquired infections (AIs) in medical intensive care units (MICUs) have become serious threats with increasing mortality and morbidity more so in the developing countries. The most common reason is lack of efficient infection control protocols. The national nosocomial infections surveillance system defines a nosocomial infection as a localized or systemic condition that results from adverse reaction to the presence of infectious agents or their toxins that were not present or incubating at the time of admission to the hospital. Critically ill patients are at increased risk of acquiring nosocomial infections because of their lower immune status. These infections being opportunistic, microbes of low virulence cause also cause disease in hospital patients whose immune systems are impaired. This study was conducted to study the association of leukocytosis in relation to nosocomial infections in MICU. Methods: A retrospective study was conducted at the MICU under the Department of Anesthesiology in collaboration with the Department of Microbiology and Department of Pathology of Mahatma Gandhi Medical College and Hospital, Navi Mumbai over six months. All the patients who were admitted in MICU and stayed for more than 48 hours were included in the present study. Results: A total of 805 patients were admitted in the MICU from January 1st to June 30th, 2017, for a period of 6 months. Out of 805 cases, 27 patients developed nosocomial infections amounting to 3.3% with male-to-female ratio of 2.8:1. The age of the patient ranged from 15 to 85 years with the mean age of 50 years. Male predominance was seen with 74% cases with mean age of 48.5 years. Maximum cases were seen in the geriatric age group mainly 6th to 7th decade comprising of 40.7% of all cases. In our study, bloodstream infection was the most common finding constituting 100% of the cases, followed by urinary tract infections. All the cases of nosocomial infections showed polymorphonuclear leukocytosis with shift to left. In our study, diabetes mellitus followed by hypertension and chronic kidney disease was the major contributory comorbidities comprising of 29.6%, 29.6%, and 22.2%, respectively. In our study, the invasive devices contributed to the overall outcome of the patients. Urinary catheters (all cases) were the most prevalent invasive device followed closely by Ryle’s tube (90%) and endotracheal tube (60%). Conclusions: Intensive care units (ICUs) comprise of less than 10% of the total hospital beds but contribute &gt;20% of all the nosocomial infections acquired in the hospital. World Health Organization (WHO) estimates the burden of nosocomial infections in hospitalized patients to be 7–12% globally, in contrast to the figures from India being alarmingly high varying from 11–83%.

Nutritional characteristics of Stereospermum chelonoides (L.f.) DC., an underutilized edible wild fruit of dietary interest

Malnutrition and hunger is a serious global issue, however, wild fruits possess the potential of combatting it being rich in nutrients. Stereospermum chelonoides (L.f.) DC., commonly known as “Patala” in Ayurvedic text, is a large wild tree bearing edible, yet, underutilized fruits consumed by the locals in Western parts of India and neighboring countries. The present study focuses on the nutritional profile of S. chelonoides fruit along with quantification of bioactive constituents using RP-HPLC-PDA and evaluation of in-vitro anti-oxidant and, anti-microbial activity. The fruit was found rich in nutritional composition having protein (2.41 % ± 0.007), fibre (3.46 % ± 0.02) and carbohydrate (90.19 % ± 1.73) with energy value of 368.2 ± 3.94 Kcal/100g. The elemental analysis of fruit resulted in macronutrients Ca, Mg and Na and micronutrients Fe, Mn, Zn, and Cu in amounts comparable to common marketed fruits. The RP-HPLC-PDA analysis revealed the presence of six phenolic compounds in all 3 extracts made from the fruit in which highest amount are present in hydro-alcoholic extract. All the extracts exhibited potent antioxidant activity evaluated through DPPH assay and oxygen radical absorbing capacity (ORAC), with highest activity in hydro-alcoholic extract. All the analyzed extracts also exhibited potent inhibition, against four human pathogens namely Pseudomonas aeruginosa, Vibrio cholerae, Escherichia coli, and Shigella flexneri. Therefore, it is evident from the study that the fruit of S. chelonoides has immense potential as a nutraceutical supplement and may help in the management of nutrient deficiency and malnutrition among rural and tribal communities.

The spectrum of cytological findings in patients with BCG lymphadenitis: A series of 13 cases

ContextBacillus Calmette–Guérin (BCG) vaccine has been used to prevent tuberculosis and/or its severe complications for long. BCG lymphadenitis is a common complication of the vaccine, which is sometimes subjected to cytological examination.The aim of the study is to describe the cytological findings of BCG lymphadenitis. SettingsThe study was conducted in a tertiary care hospital in the western part of India from January 2021 to December 2022. DesignThe study was performed on archived material of all patients who were referred to the fine needle aspiration clinic for cytology examination. Clinical and pathological data of cases were retrieved, and cases of BCG lymphadenitis were selected in the study based on these data. Slides of cases were retrieved, and cytological findings were studied. Materials and methodsPapanicolaou, Giemsa, and Hematoxylin & eosin-stained smears, as well as Ziehl-Neelson stain (Z.N. stain) smears of all BCG lymphadenitis cases, were retrieved. Cases were reviewed for individual cytological features and overall cytological diagnostic categories. Z.N. stain smears were evaluated for acid-fast bacilli. Results and conclusionsDiagnostic categories observed in BCG lymphadenitis include suppurative lymphadenitis/abscess (15 %), necrotizing lymphadenitis (23 %), necrotizing granulomatous lymphadenitis (46 %), suppurative granulomatous lymphadenitis (8 %), non-necrotizing granulomatous lymphadenitis (8 %). Acid-fast bacilli were detected by Z.N. stain in 8 cases (62 %).The cytological findings of BCG lymphadenitis closely overlap with those of tuberculous lymphadenitis. So, clinical context is very important while reporting isolated axillary lymphadenopathy, specifically in recently vaccinated infants, to avoid misdiagnosis as tuberculous lymphadenitis.

Clinical and demographic comparison of celiac disease diagnosed during adulthood versus childhood and adolescence: A single-center experience.

Celiac disease (CeD) is mainly reported from the northern and western parts of India. In central India, it is believed to be a disease of children, with limited data among adults diagnosed for the first time after the age of 18 years. Hence, we aimed to describe CeD's clinical and demographic features among adults and children/adolescents in central India. This is a retrospective analysis of a prospectively maintained database of all patients diagnosed for CeD from 2010 to 2019. The disease in adults was confirmed when symptoms developed for the first time after 18 years and had positive anti-transglutaminase antibodies with villous atrophy on duodenal biopsy. It was compared with pediatric patients with CeD diagnosed during the same time period. Of the 170 patients diagnosed with CeD, 118 were adults and 52 were children or adolescents. The mean age of presentation of adult CeD was 37.3 ± 11.93 years, while in the pediatric and adolescent group it was 9.19 ± 5.4 years. Classical presentation with chronic, painless, small-bowel-type diarrhea was seen in 44.1% of adults compared to 57.7% in the pediatric age group. Among the adult patients, 55.9% presented with nonclassical symptoms, which included abdominal pain (40.7%) and weight loss (36.4%). The common presenting symptom in children other than diarrhea was weight loss (50%) and abdominal pain (34.6%). CeD is common in central India, with an increasing number of patients being diagnosed for the first time after 18 years of age and presenting more often with nonclassical symptoms.

Does women empowerment associate with reduced risks of intimate partner violence in India? evidence from National Family Health Survey-5.

Women empowerment is commonly believed to be an important factor affecting a woman's likelihood of facing violence from her intimate partner. Even as countries invest in policies that aim to strengthen women empowerment, studies show that increase in women empowerment does not necessarily decrease intimate partner violence (IPV) against them. Against this paradox, the present study seeks to understand the specific empowerment components that associate with IPV against women in India. It also studies the state-level distribution of the different types of IPV. The study analyses state-level data from the National Family Health Survey, India (2019-21). A total of 72,056 women responded to the domestic violence questionnaire. The Dimension Index (DI) was used to compute composite scores for Women Empowerment and for IPV to rank states and Union Territories. The correlation between Women Empowerment and IPV scores was determined using Spearman's rank correlation coefficient. The state of Karnataka had the highest composite score of IPV and also showed the highest burdens of physical, sexual and emotional IPV, while Lakshadweep had the lowest burden. Physical IPV was the most common form of IPV for most states across the country. The states in the western part of India had reduced burdens for all three types of IPV. Three specific components of empowerment, viz. household decision-making and mobile phone ownership significantly associated with reduction of all three types of IPV. Hygienic menstrual practices strongly associated with reduction of sexual and emotional IPV. However, property ownership of women increased risks of all three types of IPV, while employment had no significant association with any type of IPV. The study found no significant reduction in overall IPV with improvement in women empowerment. However, it identifies components of empowerment that associate with IPV. Household decision-making, ownership of mobile phones, and hygienic menstrual practices associated with a lowered risk. By contrast, owning property increased the risk. The findings of this study would inform future research and intervention that aim to strengthen specific components of women empowerment in India and other low-and-middle-income countries.

Protecting heritage: Insights into effective flood management using green infrastructure in a highly urbanized environment

Developing flood resilience in heritage cities is an exigent challenge of rapidly urbanizing cities of the Global South. While Green Infrastructure (GI) intervention is generally considered an important flood adaptation measure, the limited space availability combined with complex urban hydrodynamics makes the objective assessment of its efficacy challenging. Our study addresses this by integrating a 1D-2D hydrodynamic model with high-resolution remote sensing datasets, including satellite imageries derived from Sentinel-1 and Sentinel-2 and flood levels obtained from field surveys to generate contextualized urban flood maps that consider the constraints of heavily urbanized land areas in the city of Ahmedabad, a rapidly urbanizing historic city in western parts of India. Historically, this city has not been flood-prone, but the high intensity of urbanization is rendering the city extremely vulnerable to flooding risks. We investigate the efficacy of four individual Green Infrastructure(GI) facilities in managing urban stormwater based on contextual space and resource availability. The efficiency is quantified based on runoff reduction coefficient, flood extent, and peak flood depth metrics. The results show that permeable pavements are the most efficient, reducing flood volume and flooded area by 23% and 1.5%, respectively. However, these benefits were marginal, challenging the current understanding. Our findings underscore the necessity for location-specific GI solutions in urban flood risk management.

Development of word count data corpus for Hindi and Marathi literature

India has a huge diversity of languages, and Hindi and Marathi are the most spoken languages in the northern and western parts of India. Hindi and Marathi have more than 528 million and 83 million speakers, respectively. The paper describes the development of the Hindi Word Corpus (Hindi WordCorp) and the Marathi Word Corpus (Marathi WordCorp), reporting the frequency of single words (1-gram) used in written texts of the respective languages using the bag-of-words model (BoW). The word frequencies are provided for eleven decades (pre-1920, 1920 to 2020). These texts include books (fiction, non-fiction, history, autobiographies, etc.) and magazines. Academic and reference books were not used. The Hindi WordCorp and Marathi WordCorp used 640 and 712 texts, respectively. An analysis was employed to check whether the texts used were enough to stabilize the rank-order of the total frequencies of the words. Zipf's and Heaps’ law coefficients indicated the sufficiency of the texts. Researchers in various areas like linguistics, social sciences, text mining, machine learning, etc., can use the dataset to answer research questions about language and culture. Some demonstrative examples are provided for using the datasets in the two languages. The dataset is made available on an open data repository. The paper is an account of dataset creation for Hindi and Marathi WordCorp. Hence, no empirical results or conclusions are made based on the data created. A WebApp named Indian Languages Word Corpus (ILWC) has been developed for users. Future directions for text mining and language models are discussed.

Forecasting of an unusual dust event over western India by the Air Quality Early Warning System

This study presents the successful implementation of an operational Air Quality Early Warning System (AQEWS) in forecasting an unprecedented dust storm event that occurred in the western part of India from 21–24 January 2022. The AQEWS generates a daily 72-h forecast using the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) at the core, which is initialized with assimilated data from the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) retrievals and in-situ measurements of fine particulate matter (PM2.5). The AQEWS was able to forecast the outbreak of this dust storm reasonably well over the north of the Arabian Sea on 21 January, as well as its movement and dispersal towards the Indian landmass in the subsequent 72 h, resulting in a significant amount of transported dust that engulfed the west Indian region on 23–24 January. We utilize satellite observations and in situ measurements to quantify the ability of the forecasting system to predict the spatiotemporal characteristics of the dust storm. Notably, the AQEWS aerosol data assimilation process played a critical role in forecasting the anomalous increase of PM10 in several west Indian cities, as it significantly improved the initial conditions of PM10 by approximately 24–40 μg/m3 and PM2.5 concentration by approximately 30–38 μg/m3. Without assimilation, the system fails to capture the intensity, and pattern of variability of the dust storm. The mean bias of the 72-h prediction of PM10 was substantially reduced with assimilation, from −44% to 0.35% in Mumbai and from −57% to 13% in Gujarat. In selected regions, in situ measurements confirmed that the AQEWS adequately captured the peak intensity and pattern of the dust storm event. The AQEWS thus demonstrated improved forecasting skills in predicting an extreme dust event during winter and the adoption of chemical data assimilation enhanced the accuracy of the real-time air quality forecasting system.