This paper is published in Volume-3, Issue-4, 2017
Area
Environmental Factors
Author
Zakia Batool
Org/Univ
University Of Agriculture, Faisalabad, Pakistan
Pub. Date
10 July, 2017
Paper ID
V3I4-1166
Publisher
Keywords
Flood Frequency, L-moment, Ratio diagram, Stream Flow, TL-moment

Citationsacebook

IEEE
Zakia Batool. Flood Frequency Analysis of Stream Flow in Pakistan Using L- moments and TL-moments, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Zakia Batool (2017). Flood Frequency Analysis of Stream Flow in Pakistan Using L- moments and TL-moments. International Journal of Advance Research, Ideas and Innovations in Technology, 3(4) www.IJARIIT.com.

MLA
Zakia Batool. "Flood Frequency Analysis of Stream Flow in Pakistan Using L- moments and TL-moments." International Journal of Advance Research, Ideas and Innovations in Technology 3.4 (2017). www.IJARIIT.com.

Abstract

Determination of most appropriate method to obtain probability distribution for data of stream flow for different locations in Pakistan by using statistical models is most important aspect in hydrologic structure. Statistical model building for flood frequency analysis will be used to determining the performance of stream flow. Developing methods that were provide an appropriate expectation of hydrologic events is always fascinating for both hydrologist and statistician, because of its significance in manipulating hydrologic structure and water resource controlling programs. L-moments and TL-moments were used to find the appropriate distribution for the data of stream flow in Pakistan for the analysis flood frequency. The basic purpose of flood frequency analysis is to find best probability distribution by the use of method of L-moments and TL-moments. Parameters of different distributions were predicted by the use of L-moment and TL-moment approach. TL-moments means that the moments are trimmed symmetrically by one conceptual sample. Most appropriate distribution was determined accordance with different goodness-of-fit methods. In addition L-moment as well as TL-moment ratio diagrams will gives us graphical clue of best fit distribution. Different goodness-of-fit test shows that GPA is most appropriate distribution for eight sites, while GLO, GNO and GEV for four, three and two sites respectively. L-moment method of estimation is found to be more suitable for most of the sites to find out the best probability distribution.