Precipitation and flood impact on rice paddies: Statistics in Central Java, Indonesia

Pratiwi, E.P.A. and Hartono, A.O. and Wijdan, H.Z. and Nurrochmad, F. and Setyawan, C. (2020) Precipitation and flood impact on rice paddies: Statistics in Central Java, Indonesia. In: 6th International Conference on Water Resource and EnvironmentVirtual, Online 23 August 2020.

[thumbnail of Pratiwi_2020_IOP_Conf._Ser.__Earth_Environ._Sci._612_012040.pdf] Text
Pratiwi_2020_IOP_Conf._Ser.__Earth_Environ._Sci._612_012040.pdf
Restricted to Registered users only

Download (915kB) | Request a copy

Abstract

Rice, the staple food of most Indonesian people, is mostly produced on Java Island. Flood disasters can cause rice damage, especially during the wet season, when torrential rainfall occurs frequently. The current study investigated the risk of rice damage due to flood disasters. To analyze statistical property and behavior from the 23-years data in Central Java, parametric tests, and the equivalent nonparametric tests were performed. Two-sample t-test and two-sample Kolmogorov-Smirnov (KS) tests were used to identify precipitation threshold that leads to damaging flood. Pearson's r and Spearman's rho coefficients were then computed to measure the strength of association between precipitation and the area of rice paddies affected by flood disasters. The results indicated that there was a clear higher mean (p < 0.05) of the precipitation group causing damaging flood than the other group that did not cause damage. The critical precipitation was about 200 mm in a month. The flood-affected area was not a normal distribution, but the log-transformed data appeared a near-normal distribution. Finally, the correlation tests revealed that the log-transformed affected area is linearly and monotonically dependent on precipitation (Pearson's r = 0.483, Spearman's rho = 0.475, p < 0.05). © 2020 Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 4; All Open Access, Gold Open Access
Uncontrolled Keywords: Flood Disasters, Rainfall Statistics, Parametric Test, Nonparametric Test, Agriculture Impacts
Subjects: S Agriculture > SB Plant culture
Divisions: Faculty of Agricultural Technology > Agricultural and Biosystems Engineering
Depositing User: Sri JUNANDI
Date Deposited: 13 Feb 2025 02:35
Last Modified: 13 Feb 2025 02:35
URI: https://ir.lib.ugm.ac.id/id/eprint/14015

Actions (login required)

View Item
View Item