Comparing deterministic and geostatistical methods for spatial rainfall distribution in Jakarta area

Author

Latifah, Arnida L. ; Setiawan, Iwan

Author_Institution

Res. Center for Inf., Indonesian Inst. of Sci., Bandung, Indonesia

fYear

2014

fDate

19-21 Aug. 2014

Firstpage

40

Lastpage

45

Abstract

This paper presents a case study for investigating a spatial rainfall distribution. This study looks at the area of Jakarta, the capital of Indonesia whose a big problem in flooding during rainy season. The need of a good quality of the spatial rainfall distribution as an input for hydrological model is the motivation of this papers. The objective of this study is to find the most reliable method to describe spatial rainfall distribution according to the limited data from rain gauge stations. The present study employs deterministic and geostatistical methods. In this paper both results are compared and analyzed. Findings indicate that deterministic model give the most efficient computation, particularly spline method performs rainfall estimation very well with smallest mean square error.

Keywords

floods; hydrological techniques; mean square error methods; rain; statistical analysis; Indonesia capital; Jakarta area; deterministic method; efficient computation; geostatistical method; hydrological model input; rain gauge station data; rainfall estimation; rainy season flooding; smallest mean square error; spatial rainfall distribution quality; spline method; Computational modeling; Estimation; Graphical models; Interpolation; Mathematical model; Rain; Splines (mathematics); deterministic; geo-statistic; inverse distance weighting; kriging; spatial rainfall distribution; spline;

fLanguage

English

Publisher

ieee

Conference_Titel

Technology, Informatics, Management, Engineering, and Environment (TIME-E), 2014 2nd International Conference on

Conference_Location

Bandung

Print_ISBN

978-1-4799-4806-2

Type

conf

DOI

10.1109/TIME-E.2014.7011589

Filename

7011589