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A platform for research: civil engineering, architecture and urbanism
Study of Maximum Temperature Using Extreme Value Distributions
The study aims to analyse the maximum temperature in seven districts of Maharashtra using extreme value distributions. The total 100 years data (annual measured values) from 1901 to 2000 of maximum temperature is used for analysis in present study. The data is divided in two sets with first set from 1901 to 1950 and second set from 1951 to 2000. Maximum temperature for return periods 50 and 100 years is calculated using Gumbel and Log Person distributions. All seven districts have different meteorological aspects and have variety of temperature values. There is rise in temperature in all seven districts. Annual maximum temperature is highest rise in Gadchiroli, moderate in Nagpur, Chandrapur, beed and less rise in Pune, Satara, Nashik districts. There is considerable difference between annual maximum temperature values of each return period between both the sets for all the two distributions. This may also be contributed to effect of climate change over last 100 years.
Study of Maximum Temperature Using Extreme Value Distributions
The study aims to analyse the maximum temperature in seven districts of Maharashtra using extreme value distributions. The total 100 years data (annual measured values) from 1901 to 2000 of maximum temperature is used for analysis in present study. The data is divided in two sets with first set from 1901 to 1950 and second set from 1951 to 2000. Maximum temperature for return periods 50 and 100 years is calculated using Gumbel and Log Person distributions. All seven districts have different meteorological aspects and have variety of temperature values. There is rise in temperature in all seven districts. Annual maximum temperature is highest rise in Gadchiroli, moderate in Nagpur, Chandrapur, beed and less rise in Pune, Satara, Nashik districts. There is considerable difference between annual maximum temperature values of each return period between both the sets for all the two distributions. This may also be contributed to effect of climate change over last 100 years.
Study of Maximum Temperature Using Extreme Value Distributions
Lecture Notes in Civil Engineering
Gupta, Laxmikant Madanmanohar (editor) / Ray, Maya Rajnarayan (editor) / Labhasetwar, Pawan Kumar (editor) / Londhe, Shreenivas (author) / Dixit, Pradnya (author) / Khandare, Shraddha (author)
2020-11-14
9 pages
Article/Chapter (Book)
Electronic Resource
English
Maximum temperature , Extreme value distribution , Gumbel , Log Pearson Engineering , Transportation Technology and Traffic Engineering , Building Materials , Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution , Sustainable Architecture/Green Buildings , Landscape/Regional and Urban Planning , Water Quality/Water Pollution
Study of Maximum Temperature Using Extreme Value Distributions
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