UPM Institutional Repository

Rainfall trend analysis and geospatial mapping of the Kelantan River Basin


Adnan, Nor Aizam and Syed Ariffin, Sharifah Diyana and Asmat, Arnis and Mansor, Shattri (2015) Rainfall trend analysis and geospatial mapping of the Kelantan River Basin. In: International Symposium on Flood Research and Management 2015 (ISFRAM 2015), 5-7 Oct. 2015, Hotel Grand Blue Wave, Shah Alam, Malaysia. (pp. 237-247).


Trend analysis was widely used as a tool to detect changes in climatic and hydrologic time series data such as rainfall. Fourteen rainfall stations in the Kelantan River Basin were used to detect trends for each of the sub-basin areas. Two objectives of the study are (i) to quantify the changing trends of rainfall of Kelantan River using statistical tests (i.e., Mann-Kendall test and Sen’s slope test) based on monthly, seasonal, and annual time series, and secondly, (ii) to map rainfall trend according to Mann-Kendall test result. Analysis for these two tests revealed that several stations indicated significant increasing and decreasing trends for monthly, seasonal, and annual rainfall time series. The study found that rainfall varies in different months, seasons, and annually as evidenced by the graph and trend maps. Therefore, this information will benefit especially for flood preparation and responses in Kelantan River Basin which annually experiences monsoon flooding.

Download File

PDF (Abstract)
Rainfall trend analysis and geospatial mapping of the Kelantan River Basin.pdf

Download (48kB) | Preview

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1007/978-981-10-0500-8_19
Publisher: Springer
Keywords: Rainfall time series; Mann-Kendall test; Sen's slope estimator; Kriging interpolation
Depositing User: Nabilah Mustapa
Date Deposited: 31 Jul 2017 09:11
Last Modified: 31 Jul 2017 09:11
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1007/978-981-10-0500-8_19
URI: http://psasir.upm.edu.my/id/eprint/56367
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item