Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

Yuniawan, Ragil Andika; Rifa’i, Ahmad; Faris, Fikri; Subiyantoro, Andy; Satyaningsih, Ratna; Hidayah, Alidina Nurul; Hidayat, Rokhmat; Mushthofa, Akhyar; Ridwan, Banata Wachid; Priangga, Eka; Muntohar, Agus Setyo; Jetten, Victor; Westen, C.J. van; Bout, Bastian van den; Sutanto, Samuel Jonson

doi:10.3390/geosciences12030129

Cited by 17 publications

(30 citation statements)

References 58 publications

(85 reference statements)

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“…This situation is exacerbated by human activities, which lead to environmental degradation, unsystematic and unplanned use, and the processing of natural resources [18]. Rainfall data can be used as landslide [19][20][21][22][23] and flood [24,25] early warning tools. Early Warning System provides useful data for making better decisions, such as providing alerts or triggering the necessary protection mechanisms [26].…”

Section: Rainfall Data For Early Warning Systemmentioning

confidence: 99%

“…For the purposes of EWS, prediction models are made using available rain data, both from direct measurements (rainfall gauges) and remote sensing data. There are many approaches to analysing precipitation thresholds, including using gauge-based precipitation [20] and remotely sensed data [25,27]. The rainfall threshold is the widely accepted alternative method for hydrological prediction, especially for flash flood early warning.…”

Section: Rainfall Data For Early Warning Systemmentioning

confidence: 99%

“…Improvements were made using minimum rainfall data from the Global Precipitation Measurement (GPM), which can detect large landslides. The low error rate indicates that this new rainfall threshold IOP Publishing doi:10.1088/1755-1315/1109/1/012007 4 can be used as a reference for Balai Sabo-ILEWS [20]. Ya'acob et al [21] prepare rainfall thresholds for landslides using the rainfall accumulation-rainfall (E-E) diagram method using daily, 3-day, and monthly rainfall accumulation using Tropical Rainfall Measuring Mission (TRMM) satellite data.…”

Section: Rainfall Data For Early Warning Systemmentioning

confidence: 99%

“…Simple data transfer from students to the data centre (dashboard) will be used to analyse the probability of flood and landslide disasters. Rainfall thresholds used are based on the available data from the previous study [20]. Simple data collection and analysis were conducted with the modified ATHUS version 3.0 (simple rainfall gauge) with censor and telecommunication systems.…”

Section: Participatory Data Collectionmentioning

confidence: 99%

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Identification of the rain gauge stations for the participatory flood and landslide mitigation in the Serayu river basin, Central Java

Savitri¹,

Wahyuningrum²,

Nugroho³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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Rainfall data is vital in analysing hydro-meteorological disasters, e.g., floods, landslides, or droughts. Currently, the location of climatological stations or rain gauges is preferred in areas that require climatological data, such as airports and near settlements. On the other hand, rainfall analysis for disaster mitigation purposes is more for remote areas, which are often far from the nearest rainfall station. This study aims to obtain accurate rainfall data through the placement of suited rain gauge locations and utilising community participation. The method used in this study is a literature review. This preliminary study was held upstream of the Serayu river basin, an area where it is usually challenging to access rainfall data. The references used are information about tropical rain, how to utilise a rain gauge network, and how to take advantage of community participation. The result shows that an Early Warning System should be developed in line with determining the location of the rain gauge because each location has a different rainfall threshold in each disaster. The placement of the rain gauge is strongly influenced by the landscape, the altitude of the place as well as the slope and aspect. For this study, the location of schools in remote areas is another parameter to determine the placement of a rain gauge since school children will be involved in the community participation.

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Section: Rainfall Data For Early Warning Systemmentioning

confidence: 99%

Section: Rainfall Data For Early Warning Systemmentioning

confidence: 99%

Section: Rainfall Data For Early Warning Systemmentioning

confidence: 99%

Section: Participatory Data Collectionmentioning

confidence: 99%

See 2 more Smart Citations

Identification of the rain gauge stations for the participatory flood and landslide mitigation in the Serayu river basin, Central Java

Savitri¹,

Wahyuningrum²,

Nugroho³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…Landslide is one of the most common natural disasters in Indonesia (Yuniawan et al, 2022). Over time, the event showed an increasing trend, estimated to be 18 percent in the last few years (BNPB, 2022).…”

Section: Introductionmentioning

confidence: 99%

Lake Cliff Landslide Mitigation – A Case Study of Lut Tawar Peusangan Lake, Aceh, Indonesia

Azizah¹,

Amri²,

Ernawita³

et al. 2023

J. Ecol. Eng.

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Landslide is one of the most common natural disasters in Indonesia. In Lut Tawar Lake, specifically the cliff side, the landslide event occurs almost daily. Mitigation effort becomes a necessity following the fatality cases it causes. This study aimed to identify landslides and suitable mitigation for the case of Lut Tawar's lake cliff. A combined approach of landslide survey and image interpretation with field validation was used. In addition, local vegetation surrounding the case area was identified from the survey and interview process. The results showed there are in total 37 landslide points in the study area. The conducted analysis showed the landslide was mainly caused by land use change from forest to a plantation, slope, particularly in the cliff area that was carved for road development, the volcanic geology of Bukit Barisan mountain, rainfall intensity, and the equatorial rainfall characteristic of the study area. The results also suggest the finest solution for landslide mitigation, namely the eco-engineering approach, a revegetation method using the local vegetation. Local vegetation comprises multiple strata, of which grass in the below strata, shrubs in the middle strata, and trees in the upper strata, constitute a shield for the lake cliff. Within this structure, government and community can cultivate these plants in the surrounding lake area.

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Future exposure of rainfall and temperature extremes to the most populous island of Indonesia: A projection based on CORDEX simulation

Hendrawan,

Mawandha,

Sakti

et al. 2024

Intl Journal of Climatology

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The study focuses on understanding the future exposure to rainfall and temperature extremes in one of the world's most populous islands, Java, Indonesia. We use the high‐resolution climate projections from the Coordinated Regional Climate Downscaling Experiment (CORDEX) simulation for Southeast Asia by 2100 under RCP4.5 and RCP8.5 scenarios. Results show that the island will likely experience drying in the lowlands due to annual rainfall decline by approximately 13%–18%, potentially exposing around 27%–73% of the population (varying under different scenarios) during the end of the century (2060–2099). Additionally, the future drying condition may be exacerbated by extreme temperatures with a 1.7–3.1°C increase in maximum daily temperature, linked with more than half of the population (63%) likely to experience at least an unprecedented temperature of 3°C under RCP8.5. Our seasonal analysis also suggests that dry seasons get even drier, and wet seasons get wetter. In terms of landuse areas exposed, we show a higher fraction of crop and forest areas may face both drying and warming, which can potentially lead to crop failure and wildfire. Our study indicates that compound drought and heat may be a common threat in lowland Java in the future, while intensifying rainfall extremes in the uplands may lead to flash flooding downstream and landslides. These findings highlight the urgent need for adaptation and mitigation strategies to reduce the risks associated with climate change in Java as one of Indonesia's most critical regions in the future.

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Revised Rainfall Threshold in the Indonesian Landslide Early Warning System

Cited by 17 publications

References 58 publications

Identification of the rain gauge stations for the participatory flood and landslide mitigation in the Serayu river basin, Central Java

Identification of the rain gauge stations for the participatory flood and landslide mitigation in the Serayu river basin, Central Java

Lake Cliff Landslide Mitigation – A Case Study of Lut Tawar Peusangan Lake, Aceh, Indonesia

Future exposure of rainfall and temperature extremes to the most populous island of Indonesia: A projection based on CORDEX simulation

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