Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/3015
Title: Satellite Rainfall Products for analysis of Rainfall trends for Mahaweli River Basin
Authors: Perera, H
Gunathilake, M. B
Rathnayakea, U
Keywords: ground-measured rainfall data
Mahaweli River Basin
rainfall trends
satellite precipitation products
PERSIANN
IMERG
TRMM
Issue Date: 11-Feb-2022
Publisher: SLIIT
Series/Report no.: Proceedings of the SLIIT International Conference On Engineering and Technology,;Vol. 01
Abstract: The presence of accurate and spatiotemporal data is of utmost importance in hydrological studies for river basins. However, limited ground-measured rainfall data restrict the accuracy of these analyses. Data scarcities can often be seen not only in many developing countries but also in the developed world. Therefore, much attention is given to alternative techniques to accomplish the data requirement. Precipitation data extraction from satellite precipitation products is one of the frequently used techniques in the absence of ground-measured rainfall data. The Mahaweli River Basin (MRB) is the largest river basin in Sri Lanka and it covers 1/6th of the total land area of the country. Mahaweli River is the heart of the country and the water of it is being used for many activities, including hydropower development, water supply, irrigation, etc. Therefore, analyzing rainfall trends of MRB is interesting and worthwhile for many stakeholders of the river basin. Therefore, this research investigates the suitability of Satellite Rainfall Products (SRP’s) as an alternative for Rain Gauge measured data in the MRB by performing trend analysis between the two datasets. Six precipitation products, namely PERSIANN, PERSIANNCCS, PERSIANN-CDR, GPM IMERG V06, TRMM-3B42 V7, TRMM-3B42RT V7 were extracted for 10-35 years for 14 locations of the MRB spatially distributed in the three climatic zones of the catchment. Non-parametric tests, including the Mann-Kendall test and Sen’s slope estimator tests, were used to detect the possible rainfall trends in precipitation products. Significant increasing trends were observed for both ground-measured and SRP’s in the annual scale while mixed results were observed in monthly and seasonal scales. The trends from ground-measured rainfall and SRP’s were compared and the suitability of SRP’s as an alternative technique was stated.
URI: http://rda.sliit.lk/handle/123456789/3015
ISSN: 2961-5011
Appears in Collections:Proceedings of the SLIIT International Conference On Engineering and Technology Vol. 01(SICET) 2022
Research Papers - Department of Civil Engineering

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