A STATISTICAL ANALYSIS AND PREDICTION OF CARBON DIOXIDE EMISSION IN HIMACHAL PRADESH, PUNJAB AND HARYANA STATES OF INDIA
The universe is facing heavily the evil effects of Global warming, which is a burning issue today. With the advancement of civilization, new industries have been set-up to enhance production as per the need of society along with the population explosion. India is familiar as a developing country in the world, and at present, India has a significant contribution to the augmentation of Greenhouse Gases in the environment, which induces global warming. Global warming has serious effects of worsening the environment. It causes the melting of ice, extinction of species, prevalance of several fatal diseases, loss of biodiversity etc. In this paper, we develop a statistical model that analyzes and predicts the trend of emission of Carbon dioxide in Himachal Pradesh, Punjab, and Haryana. For this purpose, we have considered the dataset of 21 years of gas emission and tried to fit a fourth-degree polynomial curve by the least square method. We have tried to sketch a comparative scenario of carbon-dioxide emissions in the chosen states along with the forecast of the long-term evolutionary trend of the emission. The Instantaneous Rate of Change (IROC)analysis has been employed for this purpose. The efficacies of the model have been tested by residual analysis, coefficient of determination R2, and adjusted R2.
- Research Article
2
- 10.55124/ijt.v1i1.114
- Jul 17, 2021
- International Journal of Toxicology and Toxicity Assessment
Homo Sapiens Sapiens Progressive Defaunation During The Great Acceleration: The Cli-Fi Apocalypse Hypothesis
- Research Article
- 10.11648/j.ijepp.20190704.11
- Jan 1, 2019
- International Journal of Environmental Protection and Policy
So far, the climate on the Earth, from beginning to end, has been changing, making in circle and not stopping. About this point, the specialists seemly have no disagreement. However, About causes of climate change, they indeed have divergence, and as for whether carbon dioxide is or not main cause of global climate warming, their divergence is much more large. Some specialists considered that natural factors are main causes led to climate change, and influence of anthropological factors on climate change is very very small. However, the other specialists considered that anthropological factors are important cause led to climate change, and also emission of greenhouse gases is main causes led to climate warming and at which, emission of carbon dioxide is the most main cause led to global climate warming. Still also some specialists consisted that carbon dioxide emitted by human activities is a chief culprit led to global warming. The Intergovernmental Panel on Climate Change (IPCC) stated that the climate on the Earth is warming. Emission of greenhouse gases led to climate warming, and carbon dioxide is main cause led to climate warming, and especially the carbon dioxide emitted by human activities is the most main cause led to global warming. Now, the climate on the earth is getting more and more warming. If the people did not control emission of carbon dioxide, the global climate warming would bring ecological cataclysm to the mankind. The climate change theory described by IPCC is called “Global warming” theory, or “Greenhouse effect” theory. The global warming theory, or greenhouse effect theory, has had very large influence on the all over the world. In China, also there are a lot of people who believe that “global warming” is true, is right and is scientific. Especially in Chinese academic circles, there are many specialists who especially believe “global warming”, and they forcefully trumpeted that the global climate is getting more and more warming. The carbon dioxide was considered as a chief culprit resulted led to global warming. Still also there are some people who placed “ global warming” theory on the god altar, and accepted some people to prostrate themselves in worship. The “Global warming” theory put forward by IPCC, at home and abroad, all has received a lot of serious criticism. According to basic theory of classical physics and basic fact of climate observation, we can prove that emission of greenhouse gases is not main cause led to climate change, and also carbon dioxide is not most main cause led to climate warming, and still also carbon dioxide emitted by human activities was not a chief culprit led to global warming. Thus, large decrease of emission of carbon dioxide cannot control the greenhouse effect, and also cannot prevent climate warming, and still also cannot stop happening of climate cataclysm.
- Research Article
1
- 10.30897/ijegeo.958100
- Mar 6, 2022
- International Journal of Environment and Geoinformatics
The aims of the study were: (i) to observe the effect of leaf chlorophyll content, Solar Irradiance and Normalized Difference Vegetation Index (NDVI) on spectral reflectance at Visible(Blue,Green,Red), Near Infrared (NIR) and Short Wave Infrared (SWIR) spectrum for a given number of vegetation types including Rongon (Ixora Coccinea), Hibiscus, Jhau, Grass and Togor(Tabernaemontana Divaricata).(ii) to investigate the relationship of Solar Irradiance with Normalized Difference Vegetation Index (NDVI) for the same number of vegetation types. This study used a five band hand-held spectro-radiometer “Multispectral Radiometer MSR-5” centered at wavelength 485nm, 560nm, 660nm, 830nm and 1650nm corresponding to bands 2, 3, 4, 5, 6 of Landsat 8 operational Land Imager (OLI) sensor. This spectro-radiometer provides solar irradiance and spectral reflectance values in the visible, NIR and SWIR spectrum which indirectly help to calculate Normalized Difference Vegetation Index (NDVI) for the given number of vegetation types. This study also used a Chlorophyll Meter (SPAD 502) to estimate chlorophyll concentration from the leaf of the vegetation types. The result shows that the value of the spectral reflectance correlated linearly with chlorophyll content at wavelength at 560nm and 1650 nm where the coefficient of determination R2 is 0.8761 and 0.6289 respectively. The spectral reflectance correlated inversely with NDVI at wavelength 485nm and 660nm where the coefficient of determination R2 was 0.5317 and 0.6191 respectively. This result also shows that solar irradiance relates inversely with chlorophyll content at wavelength 830nm where the coefficient of determination R2 was 0.8523.Lastly we have found that solar irradiance correlated inversely with NDVI where the coefficient of determination R2 was 0.7617.
- Research Article
- 10.1097/01.hjh.0000838416.75932.8e
- Jun 1, 2022
- Journal of Hypertension
Objective: Purpose: to assess the effect of various factors on systolic blood pressure (SBP) in patients with hypertension identified at screening. Design and method: A survey of 354 patients with hypertension identified at screening was carried out and the influence of various factors on SBP was assessed. Results: The average age of patients is 54 years [Q1-Q3: 50–54], of which 36.2% are men, 63.8% are women. Middle systolic blood pressure is 140 [Q1-Q3: 130–140] mm Hg. Most of the respondents have varying degrees of obesity. The average body mass index is 31.86 [Q1-Q3: 29.4–31.86]. The average waist is 95 [Q1-Q3: 92–95]. Mean values of total cholesterol. 5.8 [Q1-Q3: 5.6–5.8]. With an increase in age by 1 full years, an increase in SBP by 0.148 mm.Hg. should be expected. In accordance with the coefficient of determination R2 in the resulting model, 0.56% of the factors influencing the value of SBP were taken into account. With an increase in body mass index by 1, a decrease in SBP by 0.059 mm Hg should be expected. In accordance with the coefficient of determination R2 in the resulting model, 0.04% of the factors influencing the SBP were taken into account. With an increase in the waist by 1 cm, an increase in SBP by 0.059 mm Hg should be expected. In accordance with the coefficient of determination R2 in the resulting model, 0.09% of the factors influencing the SBP were taken into account. With an increase in total cholesterol by 1 mmol/l. an increase in SBP by 24.466 mm Hg should be expected. In accordance with the coefficient of determination R2, the resulting model took into account 34.27% of the factors affecting the SBP. The effect of total cholesterol on SBP was statistically significant (p = 0.001) (methods used: Kruskal-Wallis test). Conclusions: The effect of total cholesterol on SBP is statistically significant (p = 0.001). With an increase in total cholesterol by 1 mmol/l. an increase in SBP by 24.466 mm Hg should be expected.
- Research Article
- 10.1093/cvr/cvac066.213
- Jun 10, 2022
Funding Acknowledgements Type of funding sources: None. Main funding source(s): - Background / Introduction. Hypertension is one of the most common causes of myocardial infarction and stroke in the Republic of Kazakhstan (RK). Blood pressure (BP) is an easily measured indicator of hypertension. Purpose To assess the effect of various factors on systolic blood pressure (SBP) in patients with hypertension identified at screening. Methods A survey of 354 patients with hypertension identified at screening was carried out and the influence of various factors on SBP was assessed. Results The average age of patients is 54 years [Q1-Q3: 50-54], of which 36.2% are men, 63.8% are women. Middle systolic blood pressure is 140 [Q1-Q3: 130-140] mm Hg. Most of the respondents have varying degrees of obesity. The average body mass index is 31.86 [Q1-Q3: 29.4-31.86]. The average waist is 95 [Q1-Q3: 92-95]. Mean values of total cholesterol. 5.8 [Q1-Q3: 5.6-5.8]. With an increase in age by 1 full years, an increase in SBP by 0.148 mm.Hg. should be expected. In accordance with the coefficient of determination R2 in the resulting model, 0.56% of the factors influencing the value of SBP were taken into account. With an increase in body mass index by 1, a decrease in SBP by 0.059 mm Hg should be expected. In accordance with the coefficient of determination R2 in the resulting model, 0.04% of the factors influencing the SBP were taken into account. With an increase in the waist by 1 cm, an increase in SBP by 0.059 mm Hg should be expected. In accordance with the coefficient of determination R2 in the resulting model, 0.09% of the factors influencing the SBP were taken into account. With an increase in total cholesterol by 1 mmol/l. an increase in SBP by 24.466 mm Hg should be expected. In accordance with the coefficient of determination R2, the resulting model took into account 34.27% of the factors affecting the SBP. The effect of total cholesterol on SBP was statistically significant (p = 0.001) (methods used: Kruskal-Wallis test). Conclusion (s) Thus, the effect of total cholesterol on SBP is statistically significant (p = 0.001). With an increase in total cholesterol by 1 mmol/l. an increase in SBP by 24.466 mm Hg should be expected.
- Research Article
2
- 10.5325/philrhet.48.3.0359
- Aug 31, 2015
- Philosophy & Rhetoric
<i>Hyperobjects: Philosophy and Ecology after the End of the World</i> by Timothy Morton
- Research Article
3
- 10.1016/j.cpc.2016.06.020
- Jul 15, 2016
- Computer Physics Communications
APINetworks Java. A Java approach to the efficient treatment of large-scale complex networks
- Research Article
- 10.31763/aet.v2i2.1039
- May 24, 2023
- Applied Engineering and Technology
This study presents an optimization model for determining global solar radiation in the northeastern region of Nigeria using a combination of meteorological data and satellite imagery. Ten recent models were chosen from the literature review and optimized to select the one that best fits the study region. Two models were developed to provide accurate solar radiation predictions, which can be used to improve the planning and implementation of a solar energy project in the region. The model integrates the Angstrom-Prescott model with various climate parameters such as Temperature (∆T), relative humidity (RH), location latitude (Φ), solar declination angle (δ), and the number of days in a year (n) with satellite image data to determine the global solar radiation. The finding of optimization models shows that the model10 performed very well with minimum error as Mean Base Error (0.028), Mean Percentage Error (-0.001), Root Mean Square Error (0.098), and coefficient of determination R2 (0.994), which suggested as the optimized model for determining of global solar radiation in northeastern Nigeria. The two models were developed, that is, proposed Model1 and proposed Model2. Proposed Model1 slightly overestimated the global solar radiation with Mean Base Error (-0.863), Mean Percentage Error (-0.039), Root Mean Square Error (2.990), and coefficient of determination R2 (0.745), while proposed Model2 performed better with Mean Base Error (-0.005), Mean Percentage Error (0.0003), Root Mean Square Error (0.02) with the coefficient of determination R2 (0.985). The proposed models were validated using the suggested optimized model10 and satellite data model, which show that the proposed model can accurately determine global solar radiation in the northeastern region of Nigeria. This study's findings will benefit the region's solar energy project developers, researchers, and policymakers.
- Research Article
- 10.33258/economit.v4i2.1100
- May 30, 2024
- Economit Journal: Scientific Journal of Accountancy, Management and Finance
Recycling is one of the most viable options to reuse the end of the product in the closed-loop supply chains (CLSC) management. The major focus of this study is to examine the influence of product recycling cost on the profitability of food and beverage firms. This study relied solely on secondary data sourced which was subjected to a mathematical model using regression analysis. It was observed that dependent and the independent variables has a strong positive relationship with r=0.741. The coefficient of determination r2=0.549 shows that 54.9% of the variation in profit can be explained by production cost at 95% level of significant while in the flour mills Nigeria plc, the dependent and the independent variables has a weak positive relationship with r=0.363. The coefficient of determination r2=0.132 shows that 13.2% of the variation in profit can be explained by the production cost at 95% level of significant. Finally in Dangote Nigeria plc, dependent and the independent variables has a weak positive relationship with r=0.174. The coefficient of determination r2=0.030 Shows that 03.0% of the variation in profit can be explained by the production cost at 95% level of significant.
- Research Article
- 10.30765/er.38.3.7
- Jan 1, 2018
- Engineering review
This research aims to estimate above-ground carbon sequestration of orchards by using the data collected from Landsat 8 OLI. Regression equations are applied to study the relationship between the amount of above-ground carbon sequestration and vegetation indices from Landsat 8 OLI, in which the data was collected in 2015 in 3 methods: 1) Difference Vegetation Index (DVI), 2) Green Vegetation Index (GVI), and 3) Simple Ratio (SR). The results are as follows: 1) By DVI method, it results in the equation y = 0.3184e0.0482x and the coefficient of determination R² = 0.8457. The amount of the above-ground sequestration calcula-tion's result is 213.176 tons per rai. 2) Using the GVI method, it results in the equation y = 0.2619e0.0489x and the coefficient of determination R²=0.8763. The amount of the above-ground sequestration calculation's result is 220.510 tons per rai. 3) Using the SR method, it results in the equation y = 0.8900e0.0469x and the coefficient of determination R² = 0.7748. The amount of the above-ground sequestration calculation's result is 234.229 tons per rai.
- Research Article
- 10.31539/alignment.v6i1.4936
- Jun 29, 2023
- Journal Of Administration and Educational Management (ALIGNMENT)
This study aims to determine the effect of satisfaction, motivation, and work climate on the effectiveness of private high school teachers in the Air Putih sub-district, Batu Bara district, and was carried out from June 2022 to August 2022. The results show that there is an effect of satisfaction on teacher work effectiveness. The magnitude of the influence is shown by the coefficient of determination R2 (R square) = 26.4, which means that satisfaction affects the efficacy of teacher work by 26.4%. The remainder, 73.6, shows the regression equation Ŷ = 27,096 + .708X1, which means that an increase will follow every rise of one value of job satisfaction in the effectiveness value of 0.708. The results also show that there is an influence of motivation on work effectiveness. The influence is indicated by the coefficient of determination R2 (R square) = 95.9, which means that work motivation's effect on teacher work's effectiveness is 95.9%, and other factors determine the remaining 4.1%. The results of the regression equation Ŷ = 27,096 + 1,152X2, which means that an increase will follow everyone's increase in the value of work motivation in the teacher's work effectiveness value of 1,152. The influence of the work climate on the effectiveness of the work of teachers. The magnitude of the influence is indicated by the coefficient of determination R2 (R square) = 94.8, which means that the working climate influences effectiveness by 94.8%, and other factors determine the remaining 5.2%. The results of a simple regression analysis show the regression equation Ŷ =:27.096+1.025X3, which means that an increase will follow every rise in the work climate value in the effectiveness value of 1.578. In conclusion, there is an influence of satisfaction (X1), motivation (X2), and work climate (X3) together on the effectiveness of teacher work (Y).
 yyKeywords: Satisfaction, Motivation, Work Climate, Teacher Work Effectiveness
- Research Article
- 10.51614/annaba.v3i2.64
- Dec 21, 2020
- An Naba
The ability to read the Koran is still a serious problem in society, as well as what happens to students, there are many factors that can affect a person's ability to read the Qur'an. Among these factors is the existence of a competent teacher. professional and learning methods that can facilitate students in learning to read the Koran. This type of research used by researchers in this study is quantitative research with multiple regression analysis techniques. The research site is at SDI Child Friendly Depok-West Java. Based on the research results obtained information that; 1) the teacher professional competence variable has a positive and significant effect on students' reading ability of the Al-Qur'an with the Pearson correlation (ry1) correlation coefficient of 0.701. The magnitude of the influence is indicated by the coefficient of determination R2 (R square) = 0.491, which means that the effect of professional competence on students' reading ability of the Al-Qur'an is 49.1% and the remaining 50.1% is determined by other factors. 2) the variable using the Ummi method has a positive and very significant effect on students' reading ability of the Qur'an with the Pearson correlation (ry2) correlation coefficient of 0.795. The magnitude of the influence is indicated by the coefficient of determination R2 (R square) = 0.633, which means that the effect of using the Ummi method on students' reading ability of the Al-Qur'an is 63.3% and the remaining 36.7% is determined by other factors. 3) the variable teacher professional competence and the variable using the ummi method together have a positive and very significant effect on students' reading ability of the Al-Qur'an with the Pearson correlation correlation coefficient (ry1.2) is 0.829. The magnitude of the influence is shown by the coefficient of determination R2 (R square) = 0.688, which means that the effect of the professional competence of teachers and the use of the Ummi method together on students' reading ability of the Koran is 68.8% and the rest is 31.2%. determined by other factors..
- Research Article
- 10.53976/jmi.v7i2.235
- Aug 16, 2018
- Madani Institute : Jurnal Politik, Hukum, Ekonomi, Pendidikan dan Sosial-Budaya
This event will be based on research by the important role carried out by PAI teachers to improve learning achievements of students in the subjects of PAI. This research includes research of korelasional consisting of three variables, namely creativity guru (X 1) and management classes (X 2) as a free variable, and learning achievements of students (Y) as variables associated with it. This research aims to find out whether there is influence the creativity of teachers and classroom management learning achievements against the students, either separately or jointly.
 The population of this research is the entire Global Human SMPIT student Islamic School in Bekasi, with a total population of 178 students. As for how the withdrawal of samples in this research by using the techniques of Probability Sampling. Instrument in the collection of data on two free variables using questionnaire (question form). Data analysis techniques and results of research using the SPSS Statistical Software regression and correlation.
 The results of this research in general i.e. There are positive and significant influence teachers ' creativity and management classes against the achievements of the student learning. As for those special conclusions in detail are as follows: based on the analysis of the data it can be concluded that the author do first: (1) there is a positive and significant influence teachers ' creativity toward accomplishments of the correlation coefficient with learning (ryx1) is 0.633 and the coefficient of determination R2 (R square) = 0.400, meaning that the creativity of teachers towards learning achievements amounted to 40.0% and the rest IE 60% is determined by other factors. As for the direction of regression equations (unstandardized coefficients B) Ŷ = 15.524 0.544 + X 1, which means that every one unit increase in score creativity guru will influence the improvement of learning achievement score 0,544., (2) there is a significant and positive influence on the management of class learning achievements against with the coefficient of correlation (ryx1) is 0.611 and the coefficient of determination R2 (R square) = 0.374, which means that the management of class learning achievements against amounted 37.4% and the rest IE 62.6% determined by other factors. As for the direction of regression equations (unstandardized coefficients B) Ŷ = 18.618 + 0.529 x 2, which means that each increase of one unit of score management class will affect the improvement of the learning achievement score of 0.830., (3) there is a positive and significant influence teachers ' creativity and management of class learning achievements against together with correlation coefficients (ryx1) is 0.611 and (ryx2) is 0.814 with the coefficient of determination R2 (R square) = 0.428 , which means that the creativity of teachers and classroom learning achievements against management of 42.8% and 57.2% i.e. the rest is determined by other factors. As for the direction of regression equations (unstandardized coefficients B), Ŷ = 10.825 0.344 + x 1 + X 2, 0.247 which means that every one unit increase in score creativity teacher and class management will affect the improvement of the learning achievement score of 0.591
- Research Article
1
- 10.20448/2002.51.17.22
- Jan 1, 2019
- Journal of Accounting, Business and Finance Research
This study examined performance audit and public sector budgetary efficiency in southwest Nigeria. Specifically, the study examined the effect of total quality management (TQM) on budgetary efficiency in Southwest Nigeria, Public service value (PSV) on budgetary efficiency in Southwest Nigeria and Government accountability system (GAS) on budgetary efficiency in Southwest Nigeria. Primary method of data collection was employed, through structured questionnaire and it was sourced from the Ministry of Finance, Ministry Rural Development, Ministry Health, Ministry Work and Infrastructure in selected Southwest States in Nigeria, which are, Lagos, Oyo and Ogun. Data were analyzed using both descriptive and inferential statistics. Descriptive analyses conducted in the study include frequency table, and pie chart while inferential analyses conducted in the study include linear regression and ANOVA analysis. F.test used to test the overall significance of the regression model while the coefficient of determinant r2, was used to determine how much variation the dependent variable was explained by the independent variable. Result revealed that coefficient of determination (r2) of total quality management, public sector value and government accountability system were 0.730, 0.654 and 0.433 which implies that about 73%, 65.4% and 43.3% variation in budgetary efficiency of the selected states can be explained by total quality management, public sector value, government accountability system in individual States. The study found out that total quality management (TQM), public service value (PSV) and government accountability system (GAS) indicated positive and significant effect on budgetary efficiency in southwest Nigeria, (.854, p .000 < 0.05), (809, p 0.003 < 0.05) and (.658, p .002 < 0.05) respectively. The overall regression model of (Total quality management, Public sector value and Government accountability system in the selected States) are significant in terms as F calculated (256.641, 83.084 and 61.846) are greater than F critical (3.89) respectively. The study concluded that total quality management, public service value and government accountability system have significant effects on public sector budgetary efficiency in Southwest Nigeria, and positively related.
- Research Article
- 10.4314/njcm.v3i1.57388
- Jul 15, 2010
- Nigerian Journal of Clinical Medicine
Background Sub-Saharan African countries are at an increased risk of the effects of global warming. Unfortunately they have the least capacity to adapt to its untoward effects. We studied public awareness of global warming, its perceived causes, effects and prevention in Kano city, northern Nigeria. Methods Structured questionnaires were administered on a cross section of 181 adults in Kano eliciting their awareness of global warming, as well as perceived causes, effects and ways of prevention. Results Of the 181 respondents, 132 (72.9%) were aware of global warming mainly from electronic media (44.4%), the Internet (20.5%) and schools (18.7%). They mostly attributed it to air pollution (99.2%), use of fossil fuels (97.7%), toxic waste (78.0%) and chlorofluorocarbons (73.5%). Perceived effects of global warming include extremes of ambient temperature (97.7%), increased disease outbreaks (92.4%), floods (68.2%), droughts (51.5%) and loss of species (50.0%). Respondents opined that global warming could be prevented by using renewable sources of energy such as the sun (53.8%), massive tree planting (44.7%) and phasing out of old automobiles (43.2%). A significantly higher proportion of males, younger and educated respondents were aware of global warming. Conclusion The high awareness about global warming needs to be reinforced through use of media to encourage advocacy and community action towards preventing global warming and ensuring environmental sustainability. Keywords: Public perception, global warming, Kano, Nigeria
- Ask R Discovery
- Chat PDF
AI summaries and top papers from 250M+ research sources.