Journal articles on the topic 'DATA SET OF MAHARASHTRA STATE OF INDIA'
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Dr. Shridhar S Kumbhar, Bakul Rao, Sushma Kulkarni. "Water Quality Assessment and Nutrient Management by SWAT from Sanitation and Agricultural Sources in Warana River Basin, MH, India." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (November 6, 2023): 4134–45. http://dx.doi.org/10.52783/tjjpt.v44.i4.1633.
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The Warana river watershed in Western Maharashtra, India has been recognized for exporting some of the highest nitrate-nitrogen loadings in western Maharashtra and is also a major source of sediment and other nutrient loadings. An integrated modeling framework has been constructed with Soil and Water Assessment Tool (SWAT) model and the interactive SWAT CUP. The simulation framework includes a detailed land use and management data such as different crop rotations and an array of nutrient and tillage management schemes, derived from the various source including the state department of Agriculture. This paper presents the calibration and validation of SWAT for the streamflow, sediment losses, and nutrient loadings in the watershed. Streamflow, sediment yield, and nitrate loadings were calibrated for the 1979-1984 period and validated for the 1984-2014 period. Secondary field data on organic nitrogen, organic phosphorus, and mineral phosphorus is used in model to validate for the 2007-2014 period. Model predictions generally performed very well on both an annual and monthly basis during the calibration and validation periods, as indicated by coefficient of determination (R2) and Nash-Sutcliffe simulation efficiency (E) values that exceeded 0.7 in most cases. The first scenario set with application of fertilizer and no sanitation practices and set of land use change scenarios based on taking cropland out of production indicated a significant benefit in reducing sediment yield at the watershed outlet. A second scenario set found that relatively small reductions in nutrient applications resulted in significant reductions in nitrate loadings at the watershed outlet, without affecting crop yields significantly.
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Anwar, Mohd, and Imlak Shaikh. "Banking Expansion and Income Growth in India." Sustainability 10, no. 8 (August 4, 2018): 2756. http://dx.doi.org/10.3390/su10082756.
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In this article, we examine the impact of banking expansion on income growth in India. The banking expansion indices have been calculated across the region and states/Union Territories, providing the insight that all the regions, excluding the western region, are exhibiting banking expansion indices in the low range. The state-wise analysis indicates that all states exhibit a low-range index, excluding the state of Maharashtra and the UTs of Delhi and Chandigarh. Further, for the examination of the linkage between banking expansion and income growth, a panel data set was prepared for the 23 states/UTs over the period from 1990 to 2015. The panel data regression analysis approach was applied for the estimation of the regression model. It is apparent from the results that the banking expansion has significant and positive effects on credit disbursement. The results indicate that a one crore increase in deposit mobility causes 0.81 crores of increase in credit disbursement. Moreover, credit disbursement and deposit mobilization have a substantial and positive effect on the Net State Domestic Product. Moreover, a 1 percent increase in credit causes a 0.46 percent increase in NSDP, and a 1 percent increase in deposits causes a 0.57 percent increase in NSDP. Further, Net State Domestic Product has a significant and positive effect on the income of individuals. It is evident that a 1 percent increase in NSDP causes a 0.54 percent increase in per capita NSDP, while a 1 percent increase in capital expenditure causes a 0.13 percent increase in per capita NSDP.
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Mahabal, Anil, Sanjay Thakur, and Rajgopal Patil. "Distribution records and extended range of the Sri Lanka Frogmouth Batrachostomus moniliger (Aves: Caprimulgiformes: Podargidae) in the Western Ghats: a review from 1862 to 2015." Journal of Threatened Taxa 8, no. 11 (September 26, 2016): 9289. http://dx.doi.org/10.11609/jott.2775.8.11.9289-9305.
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The Sri Lanka Frogmouth (or Ceylon Frogmouth) Batrachostomus moniliger is an endemic resident bird confined to the evergreen and secondary forests of Sri Lanka and the Western Ghats of India. The earlier distribution range of the Frogmouth was from the Uttara Kannada District of Karnataka to the southern tip of India and most of Sri Lanka. Recently, the range has been extended further north to Goa and up to Mumbai in Maharashtra. A number of observations summarized into 202 distributional records (published reports and records uploaded to eBird basic data set, Oriental Bird Images, and GBIF.org from the years 1862 to 2015) of the Frogmouth have been tabulated with its maps, and reviewed for their state-wise distribution records. The need of undertaking surveys to fill up the gaps in their distribution range as well as any further northward extension till the culmination of the Western Ghats has been discussed. It is urged that taxonomical and molecular phylogenetic studies are required to be carried out in different populations of Frogmouths across the entire range.
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Ghosh, Palash, Rik Ghosh, and Bibhas Chakraborty. "COVID-19 in India: Statewise Analysis and Prediction." JMIR Public Health and Surveillance 6, no. 3 (August 12, 2020): e20341. http://dx.doi.org/10.2196/20341.
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Background The highly infectious coronavirus disease (COVID-19) was first detected in Wuhan, China in December 2019 and subsequently spread to 212 countries and territories around the world, infecting millions of people. In India, a large country of about 1.3 billion people, the disease was first detected on January 30, 2020, in a student returning from Wuhan. The total number of confirmed infections in India as of May 3, 2020, is more than 37,000 and is currently growing fast. Objective Most of the prior research and media coverage focused on the number of infections in the entire country. However, given the size and diversity of India, it is important to look at the spread of the disease in each state separately, wherein the situations are quite different. In this paper, we aim to analyze data on the number of infected people in each Indian state (restricted to only those states with enough data for prediction) and predict the number of infections for that state in the next 30 days. We hope that such statewise predictions would help the state governments better channelize their limited health care resources. Methods Since predictions from any one model can potentially be misleading, we considered three growth models, namely, the logistic, the exponential, and the susceptible-infectious-susceptible models, and finally developed a data-driven ensemble of predictions from the logistic and the exponential models using functions of the model-free maximum daily infection rate (DIR) over the last 2 weeks (a measure of recent trend) as weights. The DIR is used to measure the success of the nationwide lockdown. We jointly interpreted the results from all models along with the recent DIR values for each state and categorized the states as severe, moderate, or controlled. Results We found that 7 states, namely, Maharashtra, Delhi, Gujarat, Madhya Pradesh, Andhra Pradesh, Uttar Pradesh, and West Bengal are in the severe category. Among the remaining states, Tamil Nadu, Rajasthan, Punjab, and Bihar are in the moderate category, whereas Kerala, Haryana, Jammu and Kashmir, Karnataka, and Telangana are in the controlled category. We also tabulated actual predicted numbers from various models for each state. All the R2 values corresponding to the logistic and the exponential models are above 0.90, indicating a reasonable goodness of fit. We also provide a web application to see the forecast based on recent data that is updated regularly. Conclusions States with nondecreasing DIR values need to immediately ramp up the preventive measures to combat the COVID-19 pandemic. On the other hand, the states with decreasing DIR can maintain the same status to see the DIR slowly become zero or negative for a consecutive 14 days to be able to declare the end of the pandemic.
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Rao, Chalapati, Aashish Gupta, Mamta Gupta, and Ajit Kumar Yadav. "Premature adult mortality in India: what is the size of the matter?" BMJ Global Health 6, no. 6 (June 2021): e004451. http://dx.doi.org/10.1136/bmjgh-2020-004451.
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BackgroundReducing adult mortality by 2030 is a key component of the United Nations Sustainable Development Goals (UNSDGs). Monitoring progress towards these goals requires timely and reliable information on deaths by age, sex and cause. To estimate baseline measures for UNSDGs, this study aimed to use several different data sources to estimate subnational measures of premature adult mortality (between 30 and 70 years) for India in 2017.MethodsAge-specific population and mortality data were accessed for India and its 21 larger states from the Civil Registration System and Sample Registration System for 2017, and the most recent National Family and Health Survey. Similar data on population and deaths were also procured from the Global Burden of Disease Study 2016 and the National Burden of Disease Estimates Study for 2017. Life table methods were used to estimate life expectancy and age-specific mortality at national and state level from each source. An additional set of life tables were estimated using an international two-parameter model life table system. Three indicators of premature adult mortality were derived by sex for each location and from each data source, for comparative analysisResultsMarked variations in mortality estimates from different sources were noted for each state. Assuming the highest mortality level from all sources as the potentially true value, premature adult mortality was estimated to cause a national total of 2.6 million male and 1.8 million female deaths in 2017, with Bihar, Maharashtra, Tamil Nadu, Uttar Pradesh and West Bengal accounting for half of these deaths. There was marked heterogeneity in risk of premature adult mortality, ranging from 351 per 1000 in Kerala to 558 per 1000 in Chhattisgarh among men, and from 198 per 1000 in Himachal Pradesh to 409 per 1000 in Assam among women.ConclusionsAvailable data and estimates for mortality measurement in India are riddled with uncertainty. While the findings from this analysis may be useful for initial subnational health policy to address UNSDGs, more reliable empirical data is required for monitoring and evaluation. For this, strengthening death registration, improving methods for cause of death ascertainment and establishment of robust mortality statistics programs are a priority.
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Tapare, V. S., Malangori A. Parande, and Pradip S. Borle. "Unmet need for contraception among married women of reproductive age in rural Maharashtra." International Journal Of Community Medicine And Public Health 4, no. 9 (August 23, 2017): 3365. http://dx.doi.org/10.18203/2394-6040.ijcmph20173846.
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Background: The concept of “unmet need” for contraceptive points to the gap between women’s reproductive intention and their contraceptive behavior. About 12.8% of currently married women in India have an unmet need for contraception. The present descriptive cross-sectional survey was initiated to address the research questions regarding unmet need for contraception among married women of reproductive age group in rural Maharashtra.Methods: 400 married women of reproductive age living in rural area of Sangli district of Maharashtra state interviewed. The survey based on women’s response to survey questions regarding family information, fertility profile and attitude and practice of contraceptive use. Expanded formulation used for surveys to assess the size and characteristics of unmet need group, dividing it into distinct subgroups and to explore the reasons for unmet need using in-depth qualitative research. Data analyzed with absolute number and percentage of women having unmet need which is useful to set priorities in program for effective fertility control. The data was tabulated and analyzed using MS Excel.Results: Total unmet need for contraception was found 27.50% women, which comprises need for ‘spacing’ in 12.25% women, need for ‘limiting birth’ in 13.25% women and need for ‘appropriate contraception’ in 2.0% women among 400 married women of reproductive age. Most unmet need among younger women is for spacing birth (67.18%) while in older women above age 30 year; most unmet need (68.18%) is for limiting birth. The education of women does not affect significantly the unmet need for spacing and limiting birth. After first child the unmet need for spacing decreases with each additional child. On the contrary unmet need for limiting birth increases with each additional child after first child and it was maximum (96.55%) among women having 3 or more children.Conclusions: The study group expresses multiple reasons for the unmet need. Many of the reasons are not directly related to contraception. Most women with unmet need desire to use contraception in future favours spacing methods. People should have access to good quality information and services. Health education and motivation is needed to overcome these causes.
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MOHANTY, S. K., and P. K. PATHAK. "RICH–POOR GAP IN UTILIZATION OF REPRODUCTIVE AND CHILD HEALTH SERVICES IN INDIA, 1992–2005." Journal of Biosocial Science 41, no. 3 (May 2009): 381–98. http://dx.doi.org/10.1017/s002193200800309x.
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SummaryThis paper examines the trends in utilization of five indicators of reproductive and child health services, namely, childhood immunization, medical assistance at delivery, antenatal care, contraceptive use and unmet need for contraception, by wealth index of the household in India and two disparate states, Uttar Pradesh and Maharashtra. The data from three rounds of the National Family and Health Survey conducted during 1992–2005 are analysed. The wealth index is computed using principal component derived weights from a set of consumer durables, land size, housing quality and water and sanitation facilities of the household, and classified into quintiles for all three rounds. Bivariate analyses, rich–poor ratio and concentration index are used to understand the trends in utilization of, and inequality in, reproductive and child health services. The results indicate huge disparities in utilization of these services, largely to the disadvantage of the poor. Utilization of basic childhood immunization among the poorest and the poor stagnated in India, as well as in both states, during 1998–2005 compared with 1992–1998. The use of maternal care services such as medical assistance at delivery and antenatal care remained at a low level among the poor over this period. However, contraceptive use increased relatively faster among the poor, even with higher unmet need. Of all these services, the inequality in medical assistance at delivery is consistently large, while that of contraceptive use is small. The state-level differences in service coverage by wealth quintiles over time are large.
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Prasad Mohapatra, Bishnu, Udaysinh Desai, and Arun Pawar. "Does Gender Based Representation Matters in Fostering Political Inclusion of Women in Local Governments? A Case of India." SocioEconomic Challenges 7, no. 3 (September 30, 2023): 63–75. http://dx.doi.org/10.61093/sec.7(3).63-75.2023.
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How does the legally established gender quota in local self-government bodies affect the level of representation of women in power? How does the representation of women in power increase effective political participation? Previous studies were devoted to studying the consequences of gender quotas in the authorities and management, but the issue of the model of gender political participation remained neglected. The introduction of gender quotas as a mechanism for ensuring equal rights and opportunities for women in politics and the decision-making process increases women’s political participation and political leadership. The success or failure of planning and decision-making largely depends on the level of political participation. The issues of this work correspond to Goal 5 of Sustainable Development, which provides equal opportunities for women’s leadership at all levels of decision-making in political, economic and public life. The paper analyzes the representation of women in the authorities and management in different regions of the world. The study’s main goal is to determine the relationship between the representation of women in rural local self-government bodies and the consequences of this representation. The data sources were the results of local elections, reports of government ministries and agencies, United Nations reports on gender equality and the empowerment of women, as well as surveys of women representatives of political power in three Indian states (Odisha, Andhra Pradesh, Maharashtra ) — state election data analyzed over the past three decades. The results of this study show that the level of female representation increases annually, although this is not entirely related to political participation. Women’s electoral participation indicates that despite growing women’s participation in local elections, the expression remains unchanged within the established gender quota of 33 to 50 percent. Addressing the gender imbalance in the political environment of three states in India is a result of the introduction and enforcement of gender quotas in politics. The results of this study have practical value for local self-government bodies when developing state gender policy.
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Kishore, Kamal, Vidushi Jaswal, Madhur Verma, and Vipin Koushal. "Exploring the Utility of Google Mobility Data During the COVID-19 Pandemic in India: Digital Epidemiological Analysis." JMIR Public Health and Surveillance 7, no. 8 (August 30, 2021): e29957. http://dx.doi.org/10.2196/29957.
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Background Association between human mobility and disease transmission has been established for COVID-19, but quantifying the levels of mobility over large geographical areas is difficult. Google has released Community Mobility Reports (CMRs) containing data about the movement of people, collated from mobile devices. Objective The aim of this study is to explore the use of CMRs to assess the role of mobility in spreading COVID-19 infection in India. Methods In this ecological study, we analyzed CMRs to determine human mobility between March and October 2020. The data were compared for the phases before the lockdown (between March 14 and 25, 2020), during lockdown (March 25-June 7, 2020), and after the lockdown (June 8-October 15, 2020) with the reference periods (ie, January 3-February 6, 2020). Another data set depicting the burden of COVID-19 as per various disease severity indicators was derived from a crowdsourced API. The relationship between the two data sets was investigated using the Kendall tau correlation to depict the correlation between mobility and disease severity. Results At the national level, mobility decreased from –38% to –77% for all areas but residential (which showed an increase of 24.6%) during the lockdown compared to the reference period. At the beginning of the unlock phase, the state of Sikkim (minimum cases: 7) with a –60% reduction in mobility depicted more mobility compared to –82% in Maharashtra (maximum cases: 1.59 million). Residential mobility was negatively correlated (–0.05 to –0.91) with all other measures of mobility. The magnitude of the correlations for intramobility indicators was comparatively low for the lockdown phase (correlation ≥0.5 for 12 indicators) compared to the other phases (correlation ≥0.5 for 45 and 18 indicators in the prelockdown and unlock phases, respectively). A high correlation coefficient between epidemiological and mobility indicators was observed for the lockdown and unlock phases compared to the prelockdown phase. Conclusions Mobile-based open-source mobility data can be used to assess the effectiveness of social distancing in mitigating disease spread. CMR data depicted an association between mobility and disease severity, and we suggest using this technique to supplement future COVID-19 surveillance.
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Nalawade, Revati R., S. D. Sawant, M. S. Joshi, P. M. Ingle, V. G. More, and J. J. Kadam. "Mango Anthracnose and Powdery Mildew Disease Detection Using Convolutional Neural Network and Artificial Neural Network." Journal of Plant Disease Sciences 18, no. 1 (2023): 11–19. http://dx.doi.org/10.48165/jpds.2023.1801.03.
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Mango is the third most important tropical fruit crop after banana and citrus. Konkan region is a large mango producing belt on the west coast of Maharashtra, accounts for around 10% of the entire land under mango in the country. Anthracnose and powdery mildew, caused by Colletotrichum gloeosporioides and Oidium mangiferae, respectively, are two important diseases impeding mango export and inflicting drastic yield losses in India. During the heavy wet season, losses from this disease were estimated to be 60% or greater. The diseasesdirectly reduce the amount and quality of collected products. Similarly, Powdery mildew is a widespread predisposing disease of panicles, bloom clusters, fruits, and foliage. Because of its effect on fruit set and development, the disease can reduce output by up to 70%. With the goal of managing plant disease with few inputs at an early stage, the current study intends to build disease detection models for anthracnose and powdery mildew of mango using Convolution neural networks (CNN) and Artificial neural networks (ANN). The teachable machine models developed using RGB images for detection of anthracnose and powdery mildew of mango and ANN model developed using thermal data of mango leaves infected with anthracnose disease performed very goodascomparedto the existing plant disease detectionmodels.
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Bokde, Neeraj, Andrés Feijóo, Nadhir Al-Ansari, Siyu Tao, and Zaher Mundher Yaseen. "The Hybridization of Ensemble Empirical Mode Decomposition with Forecasting Models: Application of Short-Term Wind Speed and Power Modeling." Energies 13, no. 7 (April 3, 2020): 1666. http://dx.doi.org/10.3390/en13071666.
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In this research, two hybrid intelligent models are proposed for prediction accuracy enhancement for wind speed and power modeling. The established models are based on the hybridisation of Ensemble Empirical Mode Decomposition (EEMD) with a Pattern Sequence-based Forecasting (PSF) model and the integration of EEMD-PSF with Autoregressive Integrated Moving Average (ARIMA) model. In both models (i.e., EEMD-PSF and EEMD-PSF-ARIMA), the EEMD method is used to decompose the time-series into a set of sub-series and the forecasting of each sub-series is initiated by respective prediction models. In the EEMD-PSF model, all sub-series are predicted using the PSF model, whereas in the EEMD-PSF-ARIMA model, the sub-series with high and low frequencies are predicted using PSF and ARIMA, respectively. The selection of the PSF or ARIMA models for the prediction process is dependent on the time-series characteristics of the decomposed series obtained with the EEMD method. The proposed models are examined for predicting wind speed and wind power time-series at Maharashtra state, India. In case of short-term wind power time-series prediction, both proposed methods have shown at least 18.03 and 14.78 percentage improvement in forecast accuracy in terms of root mean square error (RMSE) as compared to contemporary methods considered in this study for direct and iterated strategies, respectively. Similarly, for wind speed data, those improvement observed to be 20.00 and 23.80 percentages, respectively. These attained prediction results evidenced the potential of the proposed models for the wind speed and wind power forecasting. The current proposed methodology is transformed into R package ‘decomposedPSF’ which is discussed in the Appendix.
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Kamble, Pallavi, and Madhuri Sawant. "Study of Stakeholder’s Perception Regarding Destination Branding Strategies of Maharashtra State, India." Atna Journal of Tourism Studies 14, no. 2 (January 17, 2021): 33–49. http://dx.doi.org/10.12727/ajts.22.3.
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The paper aims to study the perceptions of tourism stakeholders of Maharashtra regarding effectiveness of branding and marketing strategies. It is the state which is receiving maximum number of foreign tourists in India. For this study, a survey of 178 tourism stakeholders was conducted. A structured questionnaire was used for rating the branding strategies of the destination. Data was analysed with the help of important performance analysis method and paired sample t-test was applied. Results of the study showed that, though the Maharashtra Tourism is successful in projecting a simple, appealing, believable and distinct image with help of ‗Unlimited Maharashtra‘ brand, there is need of innovative advertising tactics for effective branding of the Maharashtra Tourism to attract more international tourists.
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Gothankar, Jayashree, and Sana Khuroo. "Covid-19 disability-adjusted life years in maharashtra state of india." Bharati Vidyapeeth Medical Journal 1, no. 2 (July 28, 2021): 3–9. http://dx.doi.org/10.56136/bvmj/2021_00027.
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Background and objective: The world is experiencing a pandemic of corona virus disease. In India maximum cases and deaths are seen in the state of Maharashtra. Objective of the study was to calculate disability adjusted life years (DALY) of COVID-19 to quantify burden of COVID-19 in Maharashtra state of India. Material & methodology: In this observational study, using the methodology given by WHO, DALY is composed of years lived with disability (YLDs) and years of life lost due to premature mortality/death (YLLs). We used data of confirmed cases and deaths due to covid19 between March to August 2020, taken from Government of Maharashtra. Results: The total DALY for COVID-19 was 549468.62 (490.74 of DALYs per 100000 population). YLDs and YLLs constituted 19.75% and 80.25% of the DALYs, respectively. The relative contribution of YLDs and YLLs varied by age. Maximum DALYs was seen in the age group of 51-60 years of age. There were 108510 YLDs and 440958 YLLs attributed to COVID 19 in the state of Maharashtra. Maximum burden of YLDs of 22798 was seen in the age group 31-40years which constitutes 21 % of total YLDs. Maximum burden of YLL of 129975.2 is contributed by age group 51- 60 years of age which is 29% of the total YLL. Interpretation and conclusion: Most of the disease burden from COVID-19 in Maharashtra is derived from YLL; this indicates the state needs to focus on reducing the mortality due to covid 19 especially in the older age group
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Bodakhe, G. M., R. D. Shelke, and S. H. Kamble. "An Economic Analysis of Pigeon Pea Production in Maharashtra State, India." International Journal of Environment and Climate Change 13, no. 12 (December 22, 2023): 696–703. http://dx.doi.org/10.9734/ijecc/2023/v13i123731.
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This study is based on "An economic analysis of pigeon pea production in districts of Maharashtra state”. The study was conducted in districts were highest area under pigeon pea cultivation in Maharashtra of India. The present study was based on primary data collected from 120 farmers in districts of Maharashtra, during the agricultural year 2021-22. The cost concepts approach to farm costing is widely used in India. To work out the cost of cultivation standard method of cost of cultivation employed by commission on Agricultural Costs and Price (CACP) Ministry of Agriculture (GOI). The directorate of economics and statistics, Government of India estimated different costs as (Cost A1, Cost A2, Cost B1, Cost B2, Cost C1, Cost C2, and Cost C3) The total cost of cultivation of pigeon pea came to ₹. 50548.17 per hectare in which the share of Cost-B2 was Rs.44708.43 (88.45 %) followed by Cost-A2 was ₹. 30053.85 (59.46 %). Per quintal average price of pigeon pea was ₹. 6198.58. Gross returns were ₹. 84345.37 in which main produce was of ₹.79465.90 and by produce ₹. 4919.02. The per hectare net profit from pigeon pea cultivation crop was gained ₹.33797.20. Hence, the cost benefit ratio was highest i.e. 1.67.
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Sayyed, Amit. "Faunal diversity of Satara District, Maharashtra, India." Journal of Threatened Taxa 8, no. 13 (November 26, 2016): 9537. http://dx.doi.org/10.11609/jott.3162.8.13.9537-9561.
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Satara District of Maharashtra State is a part of northern Western Ghats and Deccan Plateau biogeographic zones. The data on various faunal groups was collected from the extensive study carried out during the period between 2007 and 2010, covering different parts of the district. The present study reports faunal diversity of the district with 677 species under 150 families belonging to 11 different groups. Overall, the district has substantial faunal diversity. Out of the total species, 94 are recorded as endemic species, 35 species are listed as threatened under the IUCN Red List of Threatened Species, and 38 species are listed in the different schedules of Indian Wildlife (Protection) Act 1972 (as amended up to 2013). The information on geographical distribution pattern of mammalian species in the district is also provided.
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Havale, Dhanashri S., Chetan Chaudhari, and Smita Jadhav. "Innovative Agrotourism Trends- Maharashtra State as a Model for Cross-Cultural Tourism in India." Current Agriculture Research Journal 10, no. 3 (January 5, 2023): 320–26. http://dx.doi.org/10.12944/carj.10.3.15.
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Both urban residents and farmers benefit from agro tourism. Farmers now have a second source of income, and family members now have a job opportunity. However, there are some issues with how such centers are being developed. Therefore, in order to advance and raise the income level of the farmers in Maharashtra, the government and other relevant authorities should try to support these activities. The study's goal was to investigate the difficulties that Konkan region agro-tourism centers faced5. It was noted that the Konkan division, the second-largest division in Maharashtra, has 33 agro tourism centers that have been successfully established (58.6 percent) Agro tourism businesses were established between 2008 and 2010, 22.2% of respondents were registered with the Maharashtra State Agro Tourism Co-operative Federation LTD (MART), but there was a lack of training for the industry (62.2%), poor communication skills (80%), a lack of coordination between the departments of agriculture and tourism (100.00%), and low levels of entrepreneurship (90.00%). (78 percent)4, utilizing a descriptive research methodology, primary and secondary data were collected using the questionnaire and observation as the main data collection tools. Journal articles, articles, websites, and other secondary data collection tools were used. 45 active agro tourism facilities in Maharashtra's Konkan region participated in the survey.
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Sharma, Shikha, and Pavel R. Kholoshin. "New Data on Traditional Pottery in India (Pune, Maharashtra)." Archaeology and Ethnography 20, no. 5 (2021): 154–65. http://dx.doi.org/10.25205/1818-7919-2021-20-5-154-165.
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Purpose. A brief survey of the pottery community in the Mundhwa area was conducted in March 2019 and February 2020 as part of the Russian-Indian anthropological expedition organized by the Paleoethnology Research Center, State Museum of Biology (Moscow, Russia) and Savitribai Phule Pune University (Pune, India). The purpose of the study was to provide an initial insight into how traditional pottery functions in these urbanized environments. Results. Various forms of pottery production have been identified. The most widespread was men’s pottery using a potter’s wheel. Only men are engaged in the manufacture of pottery here – Hinduism forbids women from working on a potter’s wheel. All craftsmen work almost all year round, reducing production during the rainy season. With the rapid urbanization and concentration of the population, the demand for pottery has increased. Potters buy practically all raw materials. The clay is brought by peasants from villages within a radius of 80 km by trucks several times a year. The preparation of raw materials, as well as kneading the clay paste, is carried out by most potters by hand. All potters use an electric potter’s wheel to create the vessels. The surface treatment of products by potters is carried out by smoothing using fingers or scrapers while the wheel is rotating. Firing is carried out in square ovens made of bricks. The firing of products begins in the evening, active combustion lasts two to three hours, after which the oven is left to cool until the morning, when the finished vessels are removed. One firing requires about 150 kg of wood. Potters who migrated here from Uttar Pradesh use open firing for their vessels. Conclusion. The authors found that: the traditional nature of the craft is preserved in the community: knowledge and skills are passed down through the family line, the potters use traditional raw materials, building techniques and firing devices; resettled potters demonstrate mixed skills in different levels of pottery production, for example using a mixture of different natural clays; under the pressure of economic conditions, the electric pottery wheel is spreading, the way firing is organized has slightly changed.
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Diwate, Abhijit. "ROLE OF PHYSIOTHERAPY IN COVID-19 PATIENTS." VIMS JOURNAL OF PHYSICAL THERAPY 2, no. 1 (June 30, 2020): 1–2. http://dx.doi.org/10.46858/vimsjpt.2101.
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Corona virus disease 2019 (COVID-19) caused by SARS-CoV-2 is a new corona virus that was first identified in Wuhan city of China in December 2019. In the wake of COVID 19 affecting India, the worst affected is the state of Maharashtra accounting for one third of all cases in the country. Physiotherapy is beneficial in the treatment and physical rehabilitation of patients with COVID-19. Patient presenting with productive cough and with underlying respiratory conditions benefit from the Physiotherapy. “Expert consensus and recommendation for Physiotherapy management for COVID 19 in Indian set up” guidelines approved by Maharashtra State Council for Occupational Therapy and Physiotherapy, Mumbai will help physiotherapists in decision making and treatment planning.
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Vaidya, V. M., R. J. Zende, A. M. Paturkar, M. L. Gatne, D. G. Dighe, R. N. Waghmare, S. L. Moon, S. S. Bhave, K. G. Bengale, and N. V. Nikale. "Cystic echinococcosis in animals and humans of Maharashtra State, India." Acta Parasitologica 63, no. 2 (June 26, 2018): 232–43. http://dx.doi.org/10.1515/ap-2018-0027.
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AbstractEchinococcosis/hydatidosis which is a neglected parasitic zoonosis in the developing country like India. The study was conducted during April, 2010 to March, 2017 to determine the prevalence among slaughtered food animals, dogs and human. The samples were collected from the various slaughterhouses situated in different regions of Maharashtra state. A total of 9464 cattle (male), 3661 buffalo, 47189 sheep, 33350 goats and 13579 pigs were scientifically examined during PM inspection at different slaughterhouses. The study revealed that the prevalence of disease in cattle (3.00%) was highest followed by buffalo (2.05%), pig (1.28%), sheep (0.09%) and goat (0.01%), by PM examination. The average estimated economic losses (direct and indirect) due to hydatidosis were Rs. 8,65,83,566 in cattle, Rs. 44,33,93,900 in buffalo, Rs. 7,24,50,615 in sheep, Rs. 1,88,29,359 in goat and Rs. 5,20,49,081 in pigs. Dog faecal samples analyzed and showed the prevalence of echinococcosis as 4.34% (19/438) by sedimentation method and positive samples were confirmed by PCR assay, whereas in high risk human, 11.09% sera samples were found to be positive for echinococcosis. However, based on data collection for seven years, 58 patients were found to be surgically operated for hydatid cyst removal. The results of the present study indicated that cystic echinococcosis/hydatidosis is prevalent in both human and animal population in study areas which attracts serious attention from veterinary and public health authority to reduce economic burden and in designing appropriate strategy for prevention and control of disease.
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Dhak, Dr Sumit M. "Rainfall Trend Analysis in Tehsils of Palghar District, Maharashtra State, India." International Journal for Research in Applied Science and Engineering Technology 9, no. 11 (November 30, 2021): 238–53. http://dx.doi.org/10.22214/ijraset.2021.38790.
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Abstract: A detailed trend analysis of monthly and annual rainfall for Tehsils of Palghar district were carried out using 22 years (1998-2019) daily rainfall data taken from Department of Agriculture, Maharashtra State. In this study, to analyse the trend, the non-parametric test (Mann-Kendall test) and Sen’s slope estimator were used. For developing a functional relationship between variables, a linear trend of rainfall data for the studied area evaluated using the linear regression. The results showed that the trend analysis of monthly rainfall has a varied trend of rainfall in the rainy months in tehsil of Palghar District. The month of July significant increasing trend was observed at Jawhar (42.91 mm/year), Vikramgad (29.90 mm/year), Wada (24.06 mm/year), Talasari (31.36 mm/year), Palghar (25.299 mm/year), Mokhada (29.96 mm/year) and Dahanu (38.14 mm/year), whereas non-significant increasing trend 2.76 mm/year was observed at Vasai tehsil of Palghar District during 1998-2019. The month of June, August, September and October rainfall did not show any significant trend in tehsil of Palghar District and non significant decreasing as well as non significant increasing trend was observed in tehsil of Palghar District during 1998 – 2019. The result concluded that annual rainfall trend was increased in Jawhar, Vikramgad, Wada, Talasari, Palghar, Mokhada and Dahanu; whereas Vasai tehsil rainfall trend was decreased in tehsil of Palghar District during 1998 -2019. Keywords: Rainfall, Trend Analysis, Mann Kendall’s Test, Sen Slopes, Regression
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Narvekar, Chhaya, and Madhuri Rao. "Sugarcane Production Modeling Using Machine Learning in Western Maharashtra." International Journal of Applied Sciences and Smart Technologies 4, no. 2 (December 21, 2022): 123–30. http://dx.doi.org/10.24071/ijasst.v4i2.4636.
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Agriculture is the most important sector in the Indian economy. India is the world's second-largest producer of sugarcane. Study is undertaken at Shirol tehsil. Kolhapur district, Maharashtra state, India with the aim of modeling sugarcane production forecasting using supervised machine learning algorithms. Sugarcane is mostly cultivated crop in this area. We applied supervised machine learning for forecasting the productivity of sugarcane village wise based on the ten year’s data about sugarcane production from the year 2010 to 2020. Sugarcane yield prediction accuracy is around 65%, which is only based on data provided by sugar factory.
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Hudnurkar, Shilpa, and Neela Rayavarapu. "Binary classification of rainfall time-series using machine learning algorithms." International Journal of Electrical and Computer Engineering (IJECE) 12, no. 2 (April 1, 2022): 1945. http://dx.doi.org/10.11591/ijece.v12i2.pp1945-1954.
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Summer monsoon rainfall contributes more than 75% of the annual rainfall in India. For the state of Maharashtra, India, this is more than 80% for almost all regions of the state. The high variability of rainfall during this period necessitates the classification of rainy and non-rainy days. While there are various approaches to rainfall classification, this paper proposes rainfall classification based on weather variables. This paper explores the use of support vector machine (SVM) and artificial neural network (ANN) algorithms for the binary classification of summer monsoon rainfall using common weather variables such as relative humidity, temperature, pressure. The daily data, for the summer monsoon months, for nineteen years, was collected for the Shivajinagar station of Pune in the state of Maharashtra, India. Classification accuracy of 82.1 and 82.8%, respectively, was achieved with SVM and ANN algorithms, for an imbalanced dataset. While performance parameters such as misclassification rate, F1 score indicate that better results were achieved with ANN, model parameter selection for SVM was less involved than ANN. Domain adaptation technique was used for rainfall classification at the other two stations of Maharashtra with the network trained for the Shivajinagar station. Satisfactory results for these two stations were obtained only after changing the training method for SVM and ANN.
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Deshmukh, Sunil Kumar, and Shilpa Amit Verekar. "Incidence of Keratinophilic Fungi from Selected Soils of Vidarbha Region of Maharashtra State, India." Journal of Mycology 2014 (November 10, 2014): 1–7. http://dx.doi.org/10.1155/2014/148970.
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One hundred and fifty samples were collected from eleven districts of Vidarbha region of Maharashtra state and screened for the presence of keratinophilic fungi using hair baiting technique for isolation. Seventy-one isolates were recovered and identified. The cultures were identified using macro- and micromorphological features. Their identification was also confirmed by the BLAST search of sequences of the ITS1-5.8S-ITS2 rDNA region against the NCBI/Genbank data and compared with deposited sequences for identification purpose. Thirteen species of eight genera were isolated, namely, Auxarthron conjugatum (2.00%), Chrysosporium indicum (14.00%), Chrysosporium evolceanui (2.66%), Chrysosporium tropicum (4.66%), Chrysosporium zonatum (1.33%), Chrysosporium state of Ctenomyces serratus (3.33%), Gymnascella dankaliensis (1.33%), Gymnascella hyalinospora (0.66%), Gymnoascoideus petalosporus (0.66%), Microsporum gypseum complex (9.33%), Trichophyton mentagrophytes (2.00%), T. terrestre (3.33%), and Uncinocarpus queenslandicus (2.00%). This study indicates that the soils of Vidarbha region of Maharashtra may be significant reservoirs of certain keratinophilic fungi.
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RAGHAVENDRA, V. K. "Trends and periodicities of rainfall in sub-divisions of Maharashtra State." MAUSAM 25, no. 2 (February 7, 2022): 197–210. http://dx.doi.org/10.54302/mausam.v25i2.5194.
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The Maharashtra State of India is divided into four meteorological sub-divisions, viz., Konkan, Madhya Maharashtra, Marathwada and Vidarbha. Of these, Madhya Maharashtra and Marathwada are prone to droughts. The principal rainy season is the monsoon season of June to September when over 80 per cent of the annual rainfall is received. The coefficient of variation is about 20 per cent for the annual and monsoon rainfall except in Marathwada where it is 25 per cent. The annual and monsoon rainfalls follow the normal distribution for their yearly frequencies. In this region the annual and the monsoon rainfall series are highly correlated. In the loss drought prone sub-division of Konkan, the annual and monsoon rainfalls show a 100 year cycle. In all the sub-divisions the successive years' rainfalls are not dependent. The trend as revealed by fitting of orthogonal polynomials is shown as a quadratic curve for the annual and monsoon rainfalls of Konkan and Madhya, Maharashtra, the sub-divisions on either side of the Western Ghats. The low pass filter and Mann-Kendall test against randomness confirmed the trend in Konkan rainfall. The power spectral analysis of the data indicates the existence of long term trend for monsoon rainfall of Konkan, 60 year cycle for the annual rainfall of Konkan and Madhya Maharashtra, 30.year cycle for the annual and monsoon rainfall or Vidarbha, 20-year cycle for the monsoon rainfall of Marathwada, 15-year cycle for the monsoon rainfall of Madhya Maharashtra, 7.5-year cycle for the annual and monsoon rainfall of Marathwada.
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Madurai Elavarasan, Rajvikram, Leoponraj Selvamanohar, Kannadasan Raju, Raghavendra Rajan Vijayaraghavan, Ramkumar Subburaj, Mohammad Nurunnabi, Irfan Ahmad Khan, et al. "A Holistic Review of the Present and Future Drivers of the Renewable Energy Mix in Maharashtra, State of India." Sustainability 12, no. 16 (August 14, 2020): 6596. http://dx.doi.org/10.3390/su12166596.
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A strong energy mix of Renewable Energy Sources (RESs) is needed for sustainable development in the electricity sector. India stands as one of the fastest developing countries in terms of RES production. In this framework, the main objective of this review is to critically scrutinize the Maharashtra state energy landscape to discover the gaps, barriers, and challenges therein and to provide recommendations and suggestions for attaining the RES target by 2022. This work begins with a discussion about the RES trends in various developing countries. Subsequently, it scrutinizes the installed capacity of India, reporting that Maharashtra state holds a considerable stake in the Indian energy mix. A further examination of the state energy mix is carried out by comparing the current and future targets of the state action plan. It is found that the installed capacity of RESs accounts for about 22% of the state energy mix. Moreover, the current installed capacity trend is markedly different from the goals set out in the action plan of the state. Notably, the installed capacity of solar energy is four times less than the target for 2020. Importantly, meeting the targeted RES capacity for 2022 presents a great challenge to the state. Considering this, an analysis of the state’s strengths, barriers, and challenges is presented. Moreover, strong suggestions and recommendations are provided to clear the track to reach the desired destination. This can be useful for the government agencies, research community, private investors, policymakers, and stakeholders involved in building a sustainable energy system for the future.
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Dhak, Dr Sumit M. "Statistical Analysis of Rainfall Variability for Tehsils of Palghar District, Maharashtra State, India." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 31, 2021): 2602–18. http://dx.doi.org/10.22214/ijraset.2021.36931.
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A detailed statistical analysis of monthly, seasonal and annual rainfall for Tehsils of Palghar district were carried out using 22 years (1998-2019) daily rainfall data taken from Department of Agriculture, Maharashtra State. The mean, standard deviation and coefficient of variation for monthly, seasonal and annual rainfall were computed for tehsils of Palghar districts. The month of July received maximum monthly mean rainfall for all years (1998 to 2019) in tehsils of Palghar district. The result showed that monthly mean rainfall in month of July was maximum at Jawhar (1147.1 mm) followed by Vikramgad (1071.9 mm), Talasari (1014.3 mm), Vasai (1009.9 mm), Wada (998.5 mm), Mokhada (949.6 mm), Palghar (948.7 mm) and Dahanu (841.6) with contributes 40.4 %, 39.1 %, 38.5 %, 35.4 %, 37.3 %, 37.3 %, 36.9 % and 36.3 % of the annual mean rainfall (1998 to 2019) respectively. The result showed that contribution of rainfall during Monsoon season ranges from 95.5 % to 97.0 % of the annual total rainfall for tehsils of Palghar District. The result showed that average annual rainfall (1998 to 2019) of Vasai, Jawhar, Vikramgad, Wada, Talasari, Palghar, Mokhada and Dahanu were 2855.9 mm, 2839.1 mm, 2738.9 mm, 2674.0 mm, 2633.3 mm, 2570.8 mm, 2543.6 mm and 2318.5 mm respectively.
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Kohchale, S. R. "Prevalence of Sickle Cell Anemic Subjects from Gadchiroli District, Maharashtra, India." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1598–602. http://dx.doi.org/10.22214/ijraset.2021.39545.
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Abstract: Sickle cell disease is caused by Mutations in the HBB gene. Hemoglobin consists of four protein subunits, typically, two subunits called alpha-globin and two subunits called beta-globin. People with sickle cell anemia suffers with high morbidity and with many intercurrent infections, people of study district are with high economic burden, terminate fatality in childhood state and have the emotional and psychological trauma including the family members the exact magnitude of the problem in the study district is still obscure. The study conducted from April 2009 to April 2012 to know the prevalence of sickle cell anemia by month long survey and by visiting all PHC’S and RH of district and data collected to know the prevalence of sickle cell trait and sickle cell disease total 7763 cases were recorded in present study and age wise, gender wise and caste wise distribution recorded and the data was analyzed statistically. Keywords: Sickle, anemia, Gadchiroli, Haemoglobin, beta-globin
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Rode, Sanjay. "Widening fiscal deficit in Maharashtra state: causes and concerns." Public and Municipal Finance 7, no. 2 (September 28, 2018): 48–65. http://dx.doi.org/10.21511/pmf.07(2).2018.05.
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Maharashtra is highly urbanized and economically developed state in India. But now the growth rate is declining, and debt burden has increased in the state. CAGR has been used to examine the impact of FRBM act on fiscal deficit in the state. The RBI data from 1991 to 2016 show that the primary and fiscal deficit is increasing fast. The revenue and capital expenditure are increasing after 2003 FRBM act. The debt burden has increased in the state due to interest payment, pension liabilities, seventh pay commission to state employees, farm loan waiver scheme and infrastructure projects. State government took loans from different sources to finance its capital expenditure. The least square regression result shows that development expenditure in the state has declined very fast. The expenditure on health, education and social welfare of scheduled caste and tribe has declined in the state over the period of time. Government must improve revenue and capital receipts within the short period. Efforts must be made to reduce the debt burden on the state. Therefore, a number of alternative policies are required to improve revenue and capital receipts. State government must increase taxes on electronic and tobacco-related products. Taxes must be increased on commercial vehicles, luxury hotels, entry tax at hill stations, malls and purchase of diamonds and gold, petrol and diesel. Such sources will increase tax revenue to state government and fiscal deficit can be reduced to some extent.
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Mandhare, V. K., G. P. Deshmukh, J. V. Patil, and A. A. Kale. "MORPHOLOGICAL, PATHOGENIC AND MOLECULAR CHARACTERIZATION OF Fusarium oxysporum f.sp. ciceri ISOLATES FROM MAHARASHTRA, INDIA." Indonesian Journal of Agricultural Science 12, no. 2 (October 25, 2011): 47. http://dx.doi.org/10.21082/ijas.v12n2.2011.47-56.
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Vascular wilt caused by Fusarium oxysporum f.sp. ciceri (FOC) is considered as one of the major factors of low productivity in chickpea. The present study was conducted to determine the morphological, pathogenic and random amplified polymorphic DNA (RAPD) variability of twenty isolates of FOC collected from the Maharashtra State of India, along with four reference isolates corresponding to four known FOC races. Pathogenicity of each isolate was confirmed using the wilt susceptible chick-pea genotype JG-62. The mycelia of all the isolates were septate, hyaline and profusely branched. All the FOC isolates produced micro- and macro-conidia in pure culture within seven days after inoculation. Based on the abilities of the isolates to cause dis-ease on an international set of chickpea differentials and genetic variability estimated by the RAPD technique, these 24 isolates were grouped into two pathotypes, i.e. pathotype I and pathotype II.<br /><br />
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Mandhare, V. K., G. P. Deshmukh, J. V. Patil, and A. A. Kale. "MORPHOLOGICAL, PATHOGENIC AND MOLECULAR CHARACTERIZATION OF Fusarium oxysporum f.sp. ciceri ISOLATES FROM MAHARASHTRA, INDIA." Indonesian Journal of Agricultural Science 12, no. 2 (October 25, 2011): 47. http://dx.doi.org/10.21082/ijas.v12n2.2011.p47-56.
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Vascular wilt caused by Fusarium oxysporum f.sp. ciceri (FOC) is considered as one of the major factors of low productivity in chickpea. The present study was conducted to determine the morphological, pathogenic and random amplified polymorphic DNA (RAPD) variability of twenty isolates of FOC collected from the Maharashtra State of India, along with four reference isolates corresponding to four known FOC races. Pathogenicity of each isolate was confirmed using the wilt susceptible chick-pea genotype JG-62. The mycelia of all the isolates were septate, hyaline and profusely branched. All the FOC isolates produced micro- and macro-conidia in pure culture within seven days after inoculation. Based on the abilities of the isolates to cause dis-ease on an international set of chickpea differentials and genetic variability estimated by the RAPD technique, these 24 isolates were grouped into two pathotypes, i.e. pathotype I and pathotype II.<br /><br />
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Rath, Rama Shankar, Anand Mohan Dixit, Anil Ramesh Koparkar, Pradip Kharya, and Hari Shanker Joshi. "COVID-19 pandemic in India: A Comparison of pandemic pattern in Selected States." Nepal Journal of Epidemiology 10, no. 2 (June 30, 2020): 856–64. http://dx.doi.org/10.3126/nje.v10i2.28960.
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The COVID-19 pandemic currently expanded its roots to the 206 countries in the world. The morbidity and mortality are not only threat to humans but also its impact on economy is indirectly affecting us. The current review was done to find trend in various states of India. Data was collected from Ministry of Health and Family Welfare and descriptive analysis of the distribution of COVID-19 cases in different states of India. First case of COVID-19 was diagnosed in southern most state Kerala and after that it has spread to all other states but situations are more worsen in states with high international migration. Maharashtra is now the most affected state followed by Delhi. Among epidemic curve of all these states, Maharashtra has rapidly growing epidemic curve with highest slope, whereas Kerala has the lowest. When we compared the day wise cumulative case fatality rate, it was found that the case fatality rate of the states like Maharashtra, Madhya Pradesh & Rajasthan showed decrease in the case fatality rate over the period. Population density is also one of the key determinants of social interaction and thus the spread of disease specifically in communicable diseases. Government of India had taken many strong initiatives e.g. 40 days nation-wide lockdown, thermal screening at airport, announcement of relief packages for poor and quarantine of outsiders but still there are many missed opportunities like, early stoppage of international traffic, compulsory quarantine for all international travellers, better contact tracing, strong law and order and better preparedness plan.
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Sengupta, Anirup, and Mohanasundari Thangavel. "Analysis of the Effects of Climate Change on Cotton Production in Maharashtra State of India Using Statistical Model and GIS Mapping." Caraka Tani: Journal of Sustainable Agriculture 38, no. 1 (February 23, 2023): 152. http://dx.doi.org/10.20961/carakatani.v38i1.64377.
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Cotton is a prominent cash crop cultivated for fiber, edible oil and oil cake. A global environmental issue, like climate change, alters weather parameters necessary for the healthy growth and development of cotton plants, affecting fiber quality and economic yield. The study aims to illustrate the evidence of climate change in Maharashtra and assess its impact on the production of cotton in this region. The study was conducted in the state of Maharashtra, India. Geographic information system (GIS)-based models were created based on the vector data (geopolitical boundaries of the state of Maharashtra and its districts) and the corresponding raster attributes (meteorological data) to examine the changes in the patterns of distribution of temperature, rainfall and severity of drought (Standardized Precipitation Index-SPI) over the study period (1990 to 2015). Further, a statistical multiple linear regression model was developed using district-wise data on yield and climatic parameters obtained from International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) to estimate the relationship between the dependent variable (yield of cotton) and the independent variables (annual rainfall and annual mean temperature). GIS modeling and mapping provide evidence of changes in the spatial distribution of rainfall and temperature. Although the regression analysis seems weak, it is acceptable for natural systems because natural systems are complex and often highly variable, making it difficult to create a perfect model. The multiple linear regression model shows that such changes in climatic parameters have a significant negative impact on the economic yield of cotton.
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ASHWINI, KULKARNI, GUHATHAKURTA PULAK, PATWARDHAN SAVITA, and GADGIL SULOCHANA. "Meteorological sub-divisions of India : Assessment of coherence, homogeneity and recommended redelineation." MAUSAM 71, no. 4 (August 4, 2021): 585–604. http://dx.doi.org/10.54302/mausam.v71i4.41.
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The data on mean rainfall and mean rainfall anomaly of the meteorological sub-divisions of India, on different time-scales, is extensively used for monitoring the progress of the monsoon as well as applications and research. As such, it is important to ensure that the sub-divisional means are meaningful representations of the rainfall and the rainfall anomaly at districts/stations within the sub-division. Hence, the criteria to be satisfied for an appropriate delineation of a meteorological sub-division are high levels of coherence and homogeneity. In this paper we present an assessment of the coherence and homogeneity of the current meteorological sub-divisions, for rainfall on the seasonal scale, by analysis of monthly district average rainfall for the period 1901-2015 during the summer monsoon for all the states, except Tamil Nadu for which June-December data are considered.
Since, earlier studies have shown that some of the sub-divisions of Karnataka and Maharashtra are neither coherent nor homogeneous, the problem of redelineation of the sub-divisions of these states is first addressed. We have assumed that the number of coherent zones in a state is the same as the number of current sub-divisions. Identification of coherent zones is achieved by successive application of the K-means (KM) clustering method to the seasonal rainfall of the districts, considering correlation of seasonal rainfall between districts as a measure of similarity. For these two states we find that some of the districts are not coherent and homogeneous. So we have repeated the exercise with analysis of a dense station network. The coherent zones identified from analysis of district data as well as station data, are found to be homogeneous as well and we have recommended that they become the new sub-divisions of the states. The new sub-divisions suggested for Karnataka, which are coherent and homogeneous, are: (i) Karnataka Western coast and Ghats (which includes districts/stations in the current sub-division of Coastal Karnataka as well as some from the sub-divisions of interior Karnataka) (ii) Karnataka northern plateau and (iii) Karnataka southern plateau. Of the current sub-divisions of Maharashtra, Marathwada and Vidarbha satisfy the criteria of coherence and homogeneity and can be retained as such. The current Madhya Maharashtra sub-division does not satisfy the criteria of coherence and homogeneity. We have derived a modified version of Madhya Maharashtra by allocation of some districts/stations of Western Ghats from the existing sub-division of Madhya Maharashtra to the existing sub-division of Konkan and Goa to generate a modified version of Konkan and Goa. These modified versions are coherent and homogeneous. Thus the suggested sub-divisions of Maharashtra are (i) modified version of Konkan and Goa (which could have been renamed as Konkan, Ghats and Goa but we have retained the old name) and (ii) modified version of Madhya Maharashtra, along with the current sub-divisions of (iii) Marathwada and (iv) Vidarbha. We have shown that the sub-divisions of all the other states of mainland India, are homogeneous and reasonably coherent and recommend that they should be retained as such.
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Banik, Pabitra, Abhyudy Mandal, and M. Sayedur Rahman. "Markov chain analysis of weekly rainfall data in determining drought-proneness." Discrete Dynamics in Nature and Society 7, no. 4 (2002): 231–39. http://dx.doi.org/10.1155/s1026022602000262.
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Markov chain models have been used to evaluate probabilities of getting a sequence of wet and dry weeks during South-West monsoon period over the districts Purulia in West Bengal and Giridih in Bihar state and dry farming tract in the state of Maharashtra of India. An index based on the parameters of this model has been suggested to indicate the extend of drought-proneness of a region. This study will be useful to agricultural planners and irrigation engineers to identifying the areas where agricultural development should be focused as a long term drought mitigation strategy. Also this study will contribute toward a better understanding of the climatology of drought in a major drought-prone region of the world.
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Kharat, Sanjeevan J., and Sanjay D. Pagar. "Determination of Phosphate in Water Samples of Nashik District (Maharashtra State, India) Rivers by UV-Visible Spectroscopy." E-Journal of Chemistry 6, s1 (2009): S515—S521. http://dx.doi.org/10.1155/2009/913609.
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The major rivers of Nashik District (Maharashtra State, India) are Godavari, Kadawa, Girna, Punad and Mosam. The major water pollutant of Nashik District Rivers is Phosphate. The amount of phosphate has been determined by the molybdenum blue phosphorous method in conjugation with UV-Visible Spectrophotometer. The data has been analyzed by least square method. The more phosphate polluted river in Nashik district is Godavari. The least phosphate polluted river in Nashik District is Punad.
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Salihu, A., HP Singh, SA Safiyanu, and M. Hassan. "Analysis of Technical and Allocative efficiencies among Cotton Producers in Nagpur District, Maharashtra State, India." NIGERIAN ANNALS OF PURE AND APPLIED SCIENCES 3, no. 1 (July 19, 2020): 108–14. http://dx.doi.org/10.46912/napas.143.
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This article assessed the technical and allocative efficiencies of cotton farmers in Nagpur district, Maharashtra, India. A multi-stage sampling technique was adopted in selecting one hundred and twenty farmers. Data were collected using structured questionnaires. Descriptive statistics, stochastic frontier production function and inefficiency model were employed for data analysis. Results from the review of socioeconomic characteristics reveal that cotton production in the study area was dominated by small and marginal farmers (96.7%). Majority of the cotton producers (84.2%) had small family size (2-6 persons) with low literacy rate. The results obtained from the stochastic frontier production function reveal that farm size and labour were the major determinants of cotton production in the study area. The mean technical efficiency estimate was 78%, implying that farmers are highly efficient although cotton output can still be raised by 22% through better resource allocation without incurring additional cost. Estimates of Allocative efficiency indicated that agrochemical was underutilized while fertilizer and labour were over utilized. Results from the inefficiency model indicate that educational status of the farmers was the major source of inefficiency in cotton production. The study therefore suggests intensive awareness campaign and regular extension visits by concerned authorities in order to facilitate better usage of improved technology packages aimed at enhancing yield and farm income.
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Parakh, Santosh, Prakash Ukhalkar, and Leena Sanu. "Digital Wallet and Mobile Banking Adoption Among Rural Bank Customer." International Research Journal of Business Studies 13, no. 3 (December 20, 2020): 215–26. http://dx.doi.org/10.21632/irjbs.13.3.215-226.
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This study provides a rural viewpoint to the global research and literature on adoption of digital wallet and mobile banking among rural customer. It empirically examines the most influencing factors that stimulating to digital wallet and mobile banking user for service adoption. Primary and secondary data sources are used. A sample of 300 customers was surveyed from the rural areas of Maharashtra state, INDIA. A Simple Random Sampling method is used for selections of area from Maharashtra state and Chi-square testing was used in stated hypothesis. The study concludes that Security-Privacy, Trust and Familiarity has significant impact on Mobile banking adoption. And qualitative factors such has Prestige, Speed, Trust, Safety & Security, Easiness and Familiarity has major influence on rural customer for the adopting of Digital Wallet and Mobile banking services offered from financial institution.
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Doke, Prakash Prabhakarrao, Minal Naravane, and Aruna Deshpande. "Developing Block Wise Composite Health Index in Yavatmal District, Maharashtra State, India: An Analysis of Available Data." Indian Journal of Community Health 30, no. 3 (September 30, 2018): 258–66. http://dx.doi.org/10.47203/ijch.2018.v30i03.013.
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Introduction: Numerous health indicators from different domains and comprehensive systems for describing health of community at state or district level are in vogue. Some sub-district information is also available from Health Management Information System but the numbers of indicators are many. Here composite health index of sub-district level is calculated similar to documented procedure. Objective: To develop block wise composite health index in an average district, Yavatmal district using available data. Methods: We grouped health indicators in following four categories; health outcomes, health system, other determinants and utilization of services. From these categories we selected four, three, two and one indicator respectively. Almost all the information is collected from already available data. There are 16 blocks in Yavatmal district. Block wise information of all indicators was first compiled. The block having best value was given 100 marks and remaining blocks were given proportionately less marks. The block wise total marks were calculated. The total score was converted into index by dividing by 1,000. Results: The composite health index ranged from 0.369 to 0.794. The median was 0.425 and interquartile range was 0.126. Out of ten, nine health indicators had normal distribution. We observed positive correlation between urbanization and composite health index. The Yavatmal block obtained highest composite index 0.794 and was an outlier. Principal component analysis extracted four components which contributed 82.06% to total variance. Conclusion: Using only ten indicators and simple method blocks composite health index can be developed which may be used to compare blocks or even districts.
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Kumbhar, Priyanka Mallikarjun. "Price forecasting and Seasonality of Soybean in Amravati District of Maharashtra India." Current Agriculture Research Journal 7, no. 3 (December 14, 2019): 417–23. http://dx.doi.org/10.12944/carj.7.3.17.
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Soybean crop has contributed to improve the financial strength of the Indian farmers. It usually fetches higher income to the farmers owing to the massive export market for Soybean de-oiled cake. In state of Maharashtra Soybean is cultivated extensively in Amravati district. So the present studies explore the seasonality and price forecasting issue for Soybean crop. The is based on the secondary data. The monthly wholesale prices and arrivals data for the study collected from the agmarknet.gov.in for the period January 2008 to December 2017. To analyze the data we use statistical techniques like seasonality and exponential smoothing for price forecasting. The processing of data is done through MS- Excel and MINITAB Software. The study gives an overview of the different time series analytical methods, which can be used for price forecasting. The present study is undertaken precisely to fill the research gap and results of this study found an inverse relationship between price and market arrivals of soybean. The arrivals were recorded very high from October to January and seasonal indices of price were elevated during August in which arrivals were found stumpy. The assessment of all three Exponential Smoothing models was carried out in the procedure based on the Double Exponential model with MAD (168.3) and MAPE (6.14) values, which were considered in the smallest amount. The accuracy of proportion among the forecasted and actual price value of soybean was found in between 80.52 to 85.55 percent. It was pragmatic that the Double Exponential model was the most appropriate for forecasting the soybean.
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Shivgunde, Prashant P., and Archana D. Kodilkar. "Investigation of drug use at primary health centres in Nashik, Maharashtra, India." International Journal of Research in Medical Sciences 8, no. 1 (December 25, 2019): 290. http://dx.doi.org/10.18203/2320-6012.ijrms20195925.
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Background: By recognizing the need to promote rational utilization of medicines, the World Health Organization (WHO) in collaboration with the International Network for Rational Use of Drugs (INRUD) developed a set of core indicators. This study aimed to investigate drug use based on it.Methods: The study was performed in Primary Health Centers (PHC) in Nashik District, Maharashtra, India. Prescriptions data for the last one year from PHCs were sampled out retrospectively. Outpatients from PHCs were selected, observed and interviewed for the patient-care indicators, prospectively. Pharmacy personnel was interviewed for the facility-specific indicators. The data were analyzed; results and conclusions were drawn.Results: The average number of drugs per prescription was 3.48 (SD=0.36). The percentages of drugs prescribed by generic name and from Essential Drug List or formulary were 83.98% and 68.97% respectively. The percentages of encounters with antibiotics and injections were 60.33% and 50.83% respectively. The average consultation and dispensing times were 3.89 minutes and 58.28 seconds respectively. 98.19% of the prescribed drugs were actually dispensed. 67.27% of the dispensed drugs were labelled. The percentage of patients’ knowledge of the correct dosage was 87.78%. The percentage availability of the EDL or formulary was 100% and of the key drugs in the stock was 85.71%.Conclusions: The need for improvement in prescribing practices can be encouraged by devising strategies such as training to physicians, rewards systems, etc. There should be plans to increase staff members for a particular working period and to educate patients with healthcare, hygiene, medicines’ compliance and common diseases.
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Doke, Prakash Prabhakarrao. "Life Time Risk of Maternal Death in districts of Maharashtra State, India: Mathematical Estimation Using Proxy Indicators." Indian Journal of Community Health 29, no. 3 (September 30, 2017): 215–21. http://dx.doi.org/10.47203/ijch.2017.v29i03.002.
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Background: Maternal Mortality Ratio, Maternal Mortality Rate, Life Time Risk of Maternal Death are used to describe maternal mortality. First is most commonly quoted indicator. The Life Time Risk is most comprehensive. Three simple methods of calculations of Life Time Risk are documented. The calculations require Maternal Mortality Ratio and Total Fertility Rate; Maternal Mortality Rate and Reproductive Age Group Span. Reliable district wise data of these indicators is unavailable. Aim & Objectives: To calculate district wise life time risk of maternal deaths. Material & Methods: The proportion of non-institutional deliveries was used as proxy for Maternal Mortality Ratio and the proportion of couples not using any family planning method was used as proxy for the Total Fertility Rate. The correlation and regression equation between estimated Life Time Risk using standard method and using proxies was calculated. District wise Life Time Risk for Maharashtra state was calculated using the regression equation. Results: Good correlation was observed using proxies (r=0.97) and regression equation was: y=0.09+1.71x. For Maharashtra state the estimated of Life Time Risk was found to be 0.14% which exactly matched the estimate using conventional method. Conclusion: Using proxies reliable estimates of Life Time Risk for districts can be calculated.
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Joshi, Kuhu. "The impact of drought on human capital in rural India." Environment and Development Economics 24, no. 04 (May 31, 2019): 413–36. http://dx.doi.org/10.1017/s1355770x19000123.
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AbstractWe study the impact of a severe drought on children's educational outcomes in rural Maharashtra, a state in central India. Using pooled cross section data on children's test scores, we employ a difference-in-differences methodology to estimate the impact. We find that the drought caused a decline of 4.14 per cent in math scores and 2.67 per cent in reading scores of affected children. We also study heterogeneity in the impact by gender, age, parents' schooling, and household wealth, finding evidence in support of an income effect whereby households with limited means to smooth consumption disinvest in their children in response to the drought.
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Koroglu, Mustafa, Bridget R. Irwin, and Karen A. Grépin. "Effect of power outages on the use of maternal health services: evidence from Maharashtra, India." BMJ Global Health 4, no. 3 (June 2019): e001372. http://dx.doi.org/10.1136/bmjgh-2018-001372.
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IntroductionElectricity outages are common in low/middle-income countries and have been shown to adversely affect the operation of health facilities; however, little is known about the effect of outages on the utilisation of health services.MethodsUsing data from the 2015–2016 India Demographic Health Survey, combined with information on electricity outages as reported by the state electricity provider, we explore the associations between outage duration and frequency and delivery in an institution, skilled birth attendance, and caesarean section delivery in Maharashtra State, India. We employ multivariable logistic regression, adjusting for individual and household-level covariates as well as month and district-level fixed effects.ResultsPower outage frequency was associated with a significantly lower odds of delivering in an institution (OR 0.98; 95% CI 0.96 to 0.99), and the average number of 8.5 electricity interruptions per month was found to yield a 2.08% lower likelihood of delivering in a facility, which translates to an almost 18% increase in home births. Both power outage frequency and duration were associated with a significantly lower odds of skilled birth attendance (OR 0.97; 95% CI 0.95 to 0.99, and OR 0.99; 95% CI 0.992 to 0.999, respectively), while neither power outage frequency nor duration was a significant predictor of caesarean section delivery.ConclusionPower outage frequency and duration are important determinants of maternal health service usage in Maharashtra State, India. Improving electricity services may lead to improved maternal and newborn health outcomes.
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Korade, Dr Shivaram. "Analysis of Work Participation Rate among Tehsils Level of Ahmednagar District of Maharashtra State." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (November 30, 2022): 1808–12. http://dx.doi.org/10.22214/ijraset.2022.47715.
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Abstract: India has a large number of primary workers, so the Indian economy is highly unbalanced. Ahmednagar district is an agriculture-oriented district. This research paper is written to explore the changing pattern of work participation rate and the gender gap in the workforce among the tehsils of Ahmednagar district during 2001-2011. In the present study, the tehsils have been taken as the component areal units of the study region for determining the variation in the distribution of the workforce. The present study is entirely based on a secondary source of data collected from the census of the Ahmednagar district between 2001 and 2011. Simple statistical methods are used to process the collected data to calculate work participation rate, decadal variation, and gender gap. This paper has attempted a comprehensive study of the trends in the work participation rate tehsil level in general and male-female.
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Sarda, Purushottam, and Parag Sadgir. "Statistical analysis for predicting missing data and developing parameter inter-relationship for Jayakwadi reservoir in Maharashtra State, India." KSCE Journal of Civil Engineering 20, no. 5 (October 23, 2015): 1687–91. http://dx.doi.org/10.1007/s12205-015-0050-8.
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Patil, SuvarnaN, CharudattaV Joglekar, RachanaB Mohite, MeghaM Surve, Swati Sonawane, and Rupali Chavan. "Menarche among rural adolescent girls in Dervan (Data from the KONKAN region of the state of Maharashtra, India)." Journal of Family Medicine and Primary Care 9, no. 10 (2020): 5276. http://dx.doi.org/10.4103/jfmpc.jfmpc_509_20.
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Thorat, Chandrakant A., and Satish Pawar. "Competing with Traditional Business Model: Zero Budget Natural Farming Against Chemical Farming." ECS Transactions 107, no. 1 (April 24, 2022): 3091–106. http://dx.doi.org/10.1149/10701.3091ecst.
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Zero Budget Natural Farming or ZBNF is a set of farming methods, and also is a grassroots peasant movement, which has spread to various states of India. Padma shri Subhash Palekar is founder of this technique of faming ZBNF. It has attained wide achievement in south India, especially the south Indian state of Karnataka where it first evolved. A research was undertaken to study understand Zero Budget Natural Farming with reference to Pune District, Solapur District, and Ahmednagar District in Maharashtra State. 435 farmers were surveyed. The awareness about ZBNF is quite high with the farmers. No marketing strategy is used by ZBNF producers. However, the farmers are in favor of implementing a sound marketing strategy for the ZBNF products. 4Ps of the classic marketing mix can be identified with the ZBNF products like vegetables and fruits. ZBNF implementation can be a game-changer in the field of agriculture. Few farmers were found using ZBNF technique since last 25 years. It is a highly efficient and effective farming model as compared to be the traditional chemical farming.
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Kiik, Kalle, Jüri Plado, Muddaramaiah Lingadevaru, Syed Hamim Jeelani, and Mateusz Szyszka. "Magnetic Anomaly and Model of the Lonar Meteorite Impact Crater in Maharashtra, India." Geosciences 10, no. 10 (October 20, 2020): 417. http://dx.doi.org/10.3390/geosciences10100417.
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The ground magnetic field of the Lonar impact crater (Maharashtra State, India) and its surrounding area was measured and studied utilizing 2.5-dimensional potential field modelling. Field data showed the crater depression is associated with a strong circular negative anomaly with an amplitude of more than 1000 nT. The negative anomaly, however, decreases smoothly while moving from south to north. Most of the crater rim exhibits anomalous positive values. Negative anomalies at the rim are seen in the south–southwestern sections and coinciding in the northeastern section with the Dhar valley. Our study shows that most of the anomaly is caused by the topographic effect and a strong SE directed natural remanent magnetization of Deccan Trap basalts, which are the target of the Lonar-creating projectile. The magnetic anomaly of the relatively weakly magnetized impact-produced allochthonous breccia and post-impact sediments is small, being less than 150 nT.
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Siddiqui, Rehana. "Sangeetha Purshothaman. The Empowerment of Women in India— Grassroots Women’s Network and the State. New Delhi: Sage Publications, 1998. Hardbound. Indian Rs 450.00. Paperback. Indian Rs 250.00. 384 pages." Pakistan Development Review 37, no. 2 (June 1, 1998): 193–97. http://dx.doi.org/10.30541/v37i2pp.193-197.
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This study discusses the impact of the new organisational structure emerging in India to improve the status of rural women. The objectives of the study are twofold: first, it intends to explore the possibility of small organisations working together to have an impact at the local level; the second issue is the sustainability of such an arrangement. The study concentrates on the experience of the Swayam Shaikshan Prayog (SSP) in the Indian state of Maharashtra. The basic theme of this organisational set-up is that women know best what they want and what solutions work for them. The SSP’s networking process allows for an organisation which can bargain, interface with, and transfer resources from the state to poor women, as well as maintain the flexibility to adapt to statewide policy changes and the local conditions faced by them.
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Ahankari, Anand, Mark Hayter, Clare Whitfield, Parveen Ali, Sneha Giridhari, Shruti Tambe, Pratyush Kabra, Kranti Rayamane, and Pavel Ovseiko. "aDolescents gEnder surVey, rEsponsible coupLes evaluatiOn, and capacity building Project in India (DEVELOP): a study protocol." F1000Research 8 (June 24, 2019): 958. http://dx.doi.org/10.12688/f1000research.19521.1.
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Gender-based violence against women is a serious concern in India. This affects the health and wellbeing of victims and their dependents. Published evidence has documented a variety of reasons for such violence in Indian societies, paving a pathway to design, implement, and evaluate intervention models to address this issue. DEVELOP is a research study designed by UK and Indian research teams to plan future projects to address gender-based discrimination and violence against women and girls in India. This study protocol provides detailed information on the objectives, research methods, data collection, storage, analysis, and dissemination plans of the DEVELOP. The first component is a survey of adolescent boys and girls from rural areas of Maharashtra state of India to understand their gender equality related knowledge and beliefs. The insight gathered will be used to design interventions targeted at adolescent populations through future research and development programmes. Secondly, an evaluation of the ‘Responsible Couples’ project will be conducted to assess its success and challenges, and to design suitable programme activities and models. The ‘Responsible Couples’ project is implemented in 40 villages of Maharashtra state to improve relationships in married couples, prevent violence against women, intervene during violence, and to provide support services for women and their family members. Research findings will be disseminated though public engagement events in India, international conferences, and peer reviewed publications. This will impact on the policy and work models of Indian partners to plan future project investments. Research findings will be also useful for local government authorities andnon-government agencies striving to advance gender equality.