Analysis the Long-Term Rainfall Trends in the Tropical Regions, Using Satellite-Based Rainfall Estimates: A Case Study from Sabaragamuwa Province - Sri Lanka| Chapter 4 | Novel Perspectives of Geography, Environment and Earth Sciences Vol. 1

The precipitation is a critical of or in the atmosphere factor for successful land activities anyplace in the world. An reasoning of long-term precipitation behavior and   trends donate significantly to active crop planning, water talent management and mitigation of the affect hydro-meteorological hazards. This study discloses the rainfall instability and trends in the Sabaragamuwa Province, Sri Lanka from 1990 – 2020. The uniqueness concerning this study is the use of daily raster precipitation data produce by mixing gauge precipitation with satellite estimates popular as Climate Hazards Group InfraRed Precipitation corrected accompanying Stations (CHIRPS). As the first step, the equating between gauge precipitation and CHIRPS dossier was analyzed and it demonstrated a high veracity of 81%. The Geographic Information System (GIS) was primarily working to identify spatial instability in long-term precipitation and to extract data at the commune level for rainfall trend study. Then, the Sen’s slope estimator and the Mann–Kendall (M–K) test were used to calculate and judge the trends in annual and migratory rainfall within two localities, Rathnapura and Kegalle in the Sabaragamuwa Province. The results proved a statistically meaningful (0.05) positive current in annual rainfall from 1990 to 2020 in two together the districts of Sabaragamuwa Province. The highest flow 31.85mm/year is written in Rathnapura district and rude trend in Kegalle district that is 24.54 mm/year. Furthermore, all four monsoons: the First bury-monsoon, the Second bury-monsoon, and the Southwest tornado and Northeast monsoon showed a statistically meaningful upward trend. If these flows continue in the next 10-20 age, the annual rainfall in Sabaragamuwa Province could be raised by 320 mm to 740 mm.

Author(s) Details:

E. N. C. Perera,
Department of Regional Science and Planning, Sanasa Campus, Kegalle, Sri Lanka.

S. B. D. Samarasinghe,
HEI SL CELL, Sanasa Campus, Paragammana, Sri Lanka.

A. M. C. T. Gunarathna,
HEI SL CELL, Sanasa Campus, Paragammana, Sri Lanka.

Please see the link here: https://stm.bookpi.org/NPGEES-V1/article/view/8944