The measurement of direct and diffuse solar radiation is not easily possible because instruments are quite expensive. The main objective of this study was to predict direct solar radiation (IB) and diffuse solar radiation (ID) on Pokhara (28.186643o N, 83.97518o E, 800 m asl) for a period of one year (2017). Daily data of spectral Aerosol optical depth (AOD) and total ozone column are obtained from NASA website. The maximum value of direct solar radiation and diffuse solar radiation values were found 932.9 ± 65.9 W/m2 in January and 363.0 ± 87.9 W/m2 in February respectively. The minimum value of direct solar radiation and diffuse solar radiation values were found 692.8 ±142.0 W/m2 in April and 107.7 ± 20.4 W/m2 in July respectively. The diffuse solar radiation changes with season. The annual average of direct solar radiation and diffuse solar radiation are found 808.1± 133.7 W/m2 and 220.8 ± 102.8 W/m2 and respectively. The results of this research work will help further identification, impact and analysis of solar radiation in different locations in Nepal with the same geographic conditions. 

Prediction of Direct and Diffuse Solar Radiation on Pokhara, Nepal

Population growth, industrialization and other natural processes effects on air-pollution levels and climatic change. Atmospheric turbidity factors are an important parameter for assessing the air pollution. The main objective of this research is to study atmospheric turbidity factors on Pokhara (28.180° N, 83.970° E and 800 m asl), Nepal for a period of one year (2017). The daily data of aerosol optical depth (AOD) are derived from Aerosol Robotic Network (AERONET) of NASA. Daily, monthly and seasonal variation of atmospheric turbidity index are analyzed. The annual average of Angstrom exponential (α), Angstrom coefficient of turbidity (β) and Linked turbidity (LT) are found 1.2 ± 0.2, 0.19 ± 0.17 and 6.7 ± 3.4 respectively. The annual average of visibility is found 3.2 ± 2.5 km. Result of this research work is beneficial for the further identification, impact and analysis of atmospheric turbidity at different places with same geographical condition.

Atmospheric Turbidity Index on Pokhara

The prediction of global solar radiation (GSR) for various regions is of great importance as it provides guidance for the design, modeling, and operation of solar energy conversion systems, the selection of suitable regions, and even informs future investment policies for decision-makers. This paper presents the methods for predicting hourly mean solar radiation using support vector machines (SVM), which is a machine learning algorithm based on statistical learning theory. The primary objective of this paper was to investigate the use of a support vector machine (SVM) based on quantitative structure–activity relationships, specifically a single support vector machine (SSVM) and a bootstrap aggregated support vector machine (BASVM), to predict hourly global solar radiation in Bouzareah city. A dataset consisting of 3603 data points was employed to develop both the SSVM and BASVM models. Bootstrap aggregation of SVM is utilized to enhance the accuracy and robustness of SVM models constructed from limited training datasets. The training dataset is resampled using bootstrap resampling with replacement to create an ensemble of SVM models, each trained on a different sample from the training set. A support vector machine model is developed, and individual Support Vector Machines (SVMs) are then combined to form a Bootstrap Aggregated Support Vector Machine (BASVM). Experimental data for global solar radiation (GSR) were compared to the calculated GSR, and excellent correlation coefficients (R) were found (0.9913) during the testing phase. This novel BASVM model could be utilized by researchers and scientists to design high-efficiency solar devices. 

A Novel Non-Linear Model Based on Bootstrapped Aggregated Support Vector Machine for the Prediction of Hourly Global Solar Radiation

The main objective of this research is to study of impact of meteorological parameters on atmospheric turbidity index on Lumbini (27.49o N, 83.28o E, 110 m asl), Nepal for a period of one year (2018). The ground based data of spectral aerosol optical depth (AOD) are derived from Aerosol Robotic Network (AERONET) of NASA. Satellite based data of meteorological parameter (maximum temperature, minimum temperature, dew point, relative humidity, water contend and rainfall) are downloaded from NASA website. Daily, monthly and seasonal variation of atmospheric turbidity is analyzed. The annual average of Angstrom exponential ( α), Angstrom coefficient of turbidity ( β) and Linke turbidity factor (LT) are found 1.0 ± 0.2, 0.36 ± 0.20 and 8.3 ± 2.5 respectively. Correlation coefficient of meteorological parameters with atmospheric turbidity is analyzed. No significant effect of maximum temperature, minimum temperature, dew point and water contend on atmospheric turbidity. There is positive effect of rainfall on α, but negative effects of relative humidity and rainfall on β and LT. Atmospheric turbidity index is an important for the air pollution. Result of this research work is beneficial for the further identification, impact and analysis of atmospheric turbidity index on meteorological parameters at different places with same geographical condition. 

pdf/impact-of-meteorological-parameters-on-atmospheric-turbidity-4me8znymvv.pdf

Impact of Meteorological Parameters on Atmospheric Turbidity over Lumbini, Nepal

The main objective of this research is to study the impact of meteorological parameters on atmospheric turbidity index on Langtang National Park (28.2112° N, 85.5663° E, 3862 m asl) for a period of one year (2018). Daily data of Aerosol optical depth (AOD) and meteorological parameters are obtained from AERONET and NASA website respectively. The maximum and minimum values of direct solar radiation (IB) during the study period are found 1286 ± 24 W/m2 in January and 1123 ± 3 W/m2 in August respectively. The maximum and minimum value of diffuse solar radiation (ID) is found 119 ± 21 W/m2 in April and 59 ± 2 W/m2 in August respectively. The annual average of direct solar radiation and diffuse solar radiation are found 1202 ± 63 W/m2 and 90 ± 20 W/m2 respectively. There is a negative effect of maximum temperature, minimum temperature, dew point, relative humidity, water contend and rainfall on IB, but no significant effect of those parameters on ID. The result of this research work is beneficial for the further identification, impact and analysis of solar radiation at different places with same geographical and meteorological condition. The study of solar radiation is important for energy harvesting and agriculture.

Impact of Meteorological Parameters on Solar Radiation over Langtang National Park, Nepal

The aim of this project is to study Atmospheric Linke turbidity index over Deukhuri Valley, Dang (27°50’32.2" N, 82°45’41.9" E and 445 m a. s. l.). The atmospheric Linke Turbidity index is calculated from solar radiation measurements of NASA satellite for period of 4 years (2015, 2016, 2017, 2018). The annual average clearness index (KT ), Linke turbidity index (LT ) and visibility are 0.55 ± 0.12, 2.5 ± 1.1 and 10.4 ± 3.8 km respectively. Atmospheric Linke turbidity index is used on agriculture, hydrology, climate change and energy harvesting. In study period, number of good days (visibility > 15 km) and number of bad days (visibility < 5 km) are found to be 188 and 94 respectively. This research work is beneficial for the further identification, impact and analysis of atmospheric turbidity at different places.

Atmospheric Linke Turbidity Index over Deukhuri Valley, Dang

The main aim of this project is to study atmospheric turbidity of solar radiation over Langtang National Park (28.2112° N, 85.5663° E and altitude 3862 m a.s.l.). The daily aerosol optical depth (AOD) data are derived from Aerosol robotic network (AERONET) for a period of one year 2018. Annual mean of Angstrom exponential (α), Angstrom turbidity coefficient (β) and curvature of AOD (a2) are found 1.04 ± 0.29, 0.03± 0.02 and 4.1 ± 0.9 respectively. The average value of and Linke turbidity (LT) is 2.5 ± 0.6. Result of this research work is beneficial for the further identification, impact and analysis of atmospheric turbidity factors at different places.

/pdf/atmospheric-turbidity-of-solar-radiation-over-langtang-13axgu88.pdf

Atmospheric Turbidity of Solar Radiation over Langtang National Park

The main objective of the study is to estimate direct solar radiation (IB) and diffuse solar radiation (ID) on Bode, Bhaktapur (27.68° N, 85.39° E, 1297 m a. s. l.) for a period of one year (2013). Daily data of Aerosol optical depth (AOD), total ozone column are derived from NASA  website. The maximum and minimum monthly average of diffuse solar radiation values were  found 318±95 W/m2 in April and 108 ± 20 W/m2 in August respectively. The maximum and  minimum monthly average of direct solar radiation values were found 975±74 W/m2 in  February and 748 ± 126 W/m2 in March respectively. The annual average of diffuse solar  radiation and direct solar radiation are found 216 ± 88 W/m2 and 864 ± 125 W/m2 respectively. Result of this research work is beneficial for the further identification, impact and analysis of direct solar radiation diffuse solar radiation at different places.

Estimation of Direct and Diffuse Solar Radiation on Bode, Bhaktapur

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

P. M. Shrestha

Author Tools

Chat about Author