Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Frequency Analysis of Different Time Series Rainfall at Kohima, Nagaland, India
Abstract The present study was taken up with the objective of identifying suitable probability distribution function for estimating the rainfall amounts for different return period and probabilities for Kohima station in Nagaland. Five different distribution functions were selected for different data series. The distribution functions considered were normal, log normal, gumbel, log logistic and exponential. The criteria for selecting the distribution functions were coefficient of determination (R2) and Chi square values. The data series considered were annual, maximum weekly (29th calendar week), maximum monthly (July), minimum monthly (December) and monsoon season (June–September). The study revealed that log logistic distribution function was fitted well for annual, July month and monsoon season data series where as exponential data series fitted well for maximum weekly and December data series. Based on the identified frequency distribution function rainfall amounts for different return periods and probabilities were estimated.
Frequency Analysis of Different Time Series Rainfall at Kohima, Nagaland, India
Abstract The present study was taken up with the objective of identifying suitable probability distribution function for estimating the rainfall amounts for different return period and probabilities for Kohima station in Nagaland. Five different distribution functions were selected for different data series. The distribution functions considered were normal, log normal, gumbel, log logistic and exponential. The criteria for selecting the distribution functions were coefficient of determination (R2) and Chi square values. The data series considered were annual, maximum weekly (29th calendar week), maximum monthly (July), minimum monthly (December) and monsoon season (June–September). The study revealed that log logistic distribution function was fitted well for annual, July month and monsoon season data series where as exponential data series fitted well for maximum weekly and December data series. Based on the identified frequency distribution function rainfall amounts for different return periods and probabilities were estimated.
Frequency Analysis of Different Time Series Rainfall at Kohima, Nagaland, India
Kusre, B. C. (Autor:in) / Shyamjai Singh, Kh. (Autor:in)
Journal of The Institution of Engineers (India): Series A ; 93 ; 105-109
01.05.2012
5 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Impact of fallow on soil health in Mokokchung district, Nagaland, India
| DOAJ | 2021
Evaluation of soil quality of a coal mine affected forest at Changki, Nagaland, India
| DOAJ | 2021
Travel mode choice in the North-eastern Indian City of Kohima: lessons from empirical study
| Taylor & Francis Verlag | 2024
Indigenous Community Fishing Practices in Nagaland, Eastern Indian Himalayas
| DOAJ | 2022