Risk assessment of flash flood potential in the humid tropics Indonesia: a case study in Tamiang River basin

Evaluating the availability of irrigation water is a paramount phase in planning and managing an irrigation network system. This research aimed to calculate the availability and demand of irrigation water in the area of Blang Rongka, Timang Gajah Subdistrict, Bener Meriah District. Blang Rongka irrigation waters 81 hectares of rice fields from the Peusangan watershed. There are 408 households in Blang Rongka Village, with an estimated population of 1.418 people, consisting of 743 men and 675 women, with 43% of the population working as farmers. The data used in this research were primary and secondary. Preliminary data includes flow velocity, channel dimension, and a set of questionnaires. Secondary data includes irrigation network schemes, topography, demographics, and climate data. In addition, we also measure water discharge using the buoy method (manual) by finding the cross-sectional area and flow velocity. This research showed that the average value of water availability is compatible with the cropping pattern (paddy â€“ palawija â€“ paddy). The level of farmersâ€™ satisfaction with irrigation was 80% while the level of water adequacy was 85%. The results have proven that the current irrigation is highly beneficial for farmers.

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“…Annual rainfall is 2300 mm/year with an equatorial rain pattern. The peak of the rainy season happened on April and November [17,18].…”

Section: Results and Discussion 41 Climatementioning

confidence: 99%

Evaluation of Irrigation Water Availability and Demand in Blang Rongka, Bener Meriah District

Azizah

Rahmat

Fahmi³

2023

civilla

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“…Preparing the FFPI map involves using factors that increase the risk of flash floods in the watershed. The FFPI analysis model summarizes various factors with weighted assessments, making it efficient to use in areas with minimal data without compromising accuracy [14]. The factors used in the FFPI assessment model include slope, geology, ground movement, antecedent precipitation index (API), and CN from the SWAT model simulation.…”

Section: Ffpi Modelmentioning

confidence: 99%

“…Its objective is to appraise the probability of flooding within a hydrological basin, grounded on the physicalgeographic attributes of the sub-basins where inundation could occur. Since then, several studies have utilized the FFPI method to assess the potential for flash flooding in watersheds [7,[14][15][16]. The methodology entails generating raster data sets that depict the physical-geographic characteristics that impact runoff and the probability of flash flooding [15].…”

Section: Introductionmentioning

confidence: 99%

“…FFPI was also used by [14,16] to assess the extent of flash floods in humid tropical areas in Indonesia, combining ground movement and API as well as slope physiography, geology, and CN factors, to increase accuracy and understanding of the potential for flash floods. In the Upper Cisadane Watershed, [16] conducted a study to determine the morphometric characteristics and changes in land use/land cover (LULC), prioritizing sub-watersheds for flash flood disaster management.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating flash flood vulnerability using combined deterministic and parametric model: A case in the upper Ciliwung watershed, Indonesia

Amrullah,

Amaru,

Ridwansyah

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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On January 19, 2021, a flash flood hit the Upper Ciliwung watershed, a mountainous area in Indonesia, causing damage to seven buildings and displacing 1,800 residents. To minimize the impact of such disasters, there is a need for disaster risk awareness and management specifically focused on flash floods in mountainous regions. Therefore, this study aims to assess the flash flood potential index value in the Upper Ciliwung watershed. The research utilized deterministic (Soil and Water Assessment Tool-SWAT) and parametric (Flash Flood Potential Index-FFPI) modeling to analyze various factors, including slope, geology, ground movement, Antecedent Precipitation Index (API), and Runoff Coefficient (Curve Number-CN). The models showed satisfactory goodness-of-fit statistics with R2 and Nash-Sutcliffe efficiencies (NSE) values of 0.58 and 0.57, respectively. The findings indicated that 39.95% of the watershed had a moderate vulnerability index value of 3, while downstream areas (31.7%) had a low vulnerability index value of 2, and the middle and upstream regions had high vulnerability index values of 4 and 5, covering 23.65% and 2.49% of the total area. These results provide valuable insights to local authorities for implementing measures to reduce the Upper Ciliwung watershed’s vulnerability to flash floods.

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“…As climate changes, increase rainfall frequency and intensity signi cantly impact the hydrological cycle and increase the likelihood of regional hydrological natural hazards such as ooding. For the past decades, Indonesia has experienced yearly oods across the country (Oktaviani et al 2021;Azizah et al 2022; Ni et al 2022). Indonesia is signi cantly more vulnerable to ooding disasters than other countries and when looking at the number of oods and the number of people impacted, it is ranked globally third and seventh, respectively.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Rainfall Projection in Majalaya basin, West Java, Indonesia under CMIP6 Scenarios

Sa’adi

Rohmat

Stamataki

et al. 2022

Preprint

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In this study, a Coupled Model Intercomparison Project Phase 6 (CMIP6), from the newest set of General Circulation Models (GCMs), was used to assess the spatiotemporal variability in rainfall regimes over the Majalaya basin in West Java, Indonesia. Twenty grid points of the gridded-based daily rainfall from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) datasets spanning from 1981 to 2014 were extracted. For the future projection, a set of 23 GCMs from the Shared Socioeconomic Pathways (SSPs) with SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5 common to historical period were selected. Initially, the performance of the GCMs in simulating the local rainfall at each grid point was assess by using seven relative importance metrics. Then, compromise programming index (CPI) and Jenks optimised classification (JOC) were used to aggregate the results from the ranking of GCMs to select the best GCMs in simulating the local rainfall. It was found that EC-Earth3-Veg-LR ranked the best as Class I, followed by EC-Earth3-Veg, INM-CM4-8, EC-Earth3, MPI-ESM1-2-HR and MRI-ESM2-0 as Class II. Subsequently, the linear scaling (LS) method was used in bias correcting the selected GCM, EC-Earth3-Veg-LR using CHIRPS as reference observed data. The spatiotemporal assessment of bias-corrected LS-EC-Earth3-Veg-LR for the different months over the mid-future period 2041–2070 and 2071–2100 was compared with those under SSPs 126, 245, 370 and 585. Our results show a generally wetter tendency over Majalaya under all SSPs toward the end of the 21st century, particularly under SSP370 and SSP585. For the mid-future period, the results suggest a worsening drier period for the month of June to October. Meanwhile, the usually high rainfall month of November is projected to receive lower rainfall than normal. For the far-future period, all SSPs in most of the cases projected more increasing rainfall months as the typically drier period become shorter. The changes in rainfall were observed to move toward a more homogeneous increase in rainfall for all rainfall months across the basin from the mid-future to the far-future period. It is projected that rainfall events will become more frequent, more intense, and happen consecutively for the rainy months of December and January and followed by another consecutive rainy month for March and April.

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Risk assessment of flash flood potential in the humid tropics Indonesia: a case study in Tamiang River basin

Cited by 5 publications

References 0 publications

Evaluation of Irrigation Water Availability and Demand in Blang Rongka, Bener Meriah District

Evaluation of Irrigation Water Availability and Demand in Blang Rongka, Bener Meriah District

Evaluating flash flood vulnerability using combined deterministic and parametric model: A case in the upper Ciliwung watershed, Indonesia

Spatiotemporal Rainfall Projection in Majalaya basin, West Java, Indonesia under CMIP6 Scenarios

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