Estimation of TRMM rainfall for landslide occurrences based on rainfall threshold analysis

Abstract

Landslide can be triggered by intense or prolonged rainfall. Precipitation data obtained from ground-based observation is very accurate and commonly used to do analysis and landslide prediction. However, this approach is costly with its own limitation due to lack of density of ground station, especially in mountain area. As an alternative, satellite derived rainfall techniques have become more favorable to overcome these limitations. Moreover, the satellite derived rainfall estimation needs to be validated on its accuracy and its capability to predict landslide which presumably triggered by rainfall. This paper presents the investigation of using the TRMM-3B42V7 data in comparison to the available rain-gauge data in Ulu Kelang, Selangor. The monthly average rainfall, cumulative rainfall and rainfall threshold analysis from 1998 to 2011 is compared using quantitative statistical criteria (Pearson correlation, bias, root mean square error, mean different and mean). The results from analysis showed that there is a significant and strong positive correlation between the TRMM 3B42V7 and rain gauge data. The threshold derivative from the satellite products is lower than the rain gauge measurement. The findings indicated that the proposed method can be applied using TRMM satellite estimates products to derive rainfall threshold for the possible landslide occurrence.

Climate Variability & Establishment of Rainfall Threshold Line for Landslide Hazards in Rangamati, Bangladesh

“…To interpret the impact of rainfall on the landslides, correlation, and regression of rainfall data were studied, compared, and evaluated using MS Excel. The rainfall threshold lines for landslide hazards of [29] [34] [35] [36] approaches are established.…”

“…The Second method has been applied to establish a rainfall threshold line according to [35] in the journal IJECE. This method is based on cumulative 3-day and 30-day rainfall of historical landslides, which is the rainfall threshold line parameter.…”

A multi‐sensor evaluation of precipitation uncertainty for landslide‐triggering storm events

“…These measures are meant to capture large storms that happen on at least an annual basis rather than storms that trigger natural disasters (Manzanas et al, 2014;Sun et al, 2018). This works builds on the handful of studies that have specifically evaluated multiple precipitation products in the context of landslide triggering (Brunetti et al, 2018;Chikalamo et al, 2020;Rossi et al, 2017;Tajudin et al, 2020). For example, Rossi et al (2017) compared satellite and gauge precipitation data preceding landslide events in Italy, using intensity-duration thresholds as a part of the comparison.…”

Evaluation of Hydrologic Modelling Using Satellite Product, and MMR Rainfall in East Java, Indonesia

“…TRMM-3B42 itself has been tested on 3 different rainfall patterns in Indonesia, namely the equator, monsoon, and local with good results (Mamenun et al, 2014). In Selangor, Malaysia, the estimated TRMM-3B42 rainfall product correlates strongly with field rainfall data and can lower the rainfall threshold for landslide events (Tajudin et al, 2020). While the estimation of GPM-3IMERGDF satellite production in the Tibetan plateau was better at altitudes from 3000 m to 4000 m, the bias was relatively small (RB) 6.4% (Alazzy et al, 2017).…”