Prediction of land conversion impact on flood peaks using the ITS-2 synthetic unit hydrograph model in Sausu River, Sulawesi, Indonesia

Tunas, I Gede; Samatan, Sukandi; Anwar, Nadjadji

doi:10.1063/5.0014481

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Basin models are not only described by the characteristics of natural catchment systems, but also by anthropogenic factors such as management of catchment systems with various hydraulic structures in them such as dams, weirs, sabo dams, flood dykes and other similar structures. Along with the development of computational technology, currently the HEC-HMS model is not only used for flow simulation but can also be applied to estimate surface erosion rates [16][17].…”

Section: Hec Hms-modelmentioning

confidence: 99%

Application of Tropical Rainfall Measuring Mission (TRMM) Data for Flood Estimation in Lack Data Catchment

Tunas,

Herman,

Arafat

2024

IOP Conf. Ser.: Earth Environ. Sci.

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Providing real-time hydrological data for the design, development and management of water resources is a fundamental issue that is still being faced by hydrologists and practitioners. This data limitation is not only caused by the uneven distribution of hydrological measuring instruments, but also due to the inability of measuring instruments to present the data in real time. This paper aims to evaluate hydrological data, especially spatial-based rainfall data known as Tropical Rainfall Measuring Mission (TRMM) data as an alternative to rainfall data to predict flood hydrographs in a catchment with limited data. The study was initiated by selecting pairs of automatic rainfall data (ARG) and water level (AWLR) and combined with TRMM rainfall data for the same time series. These two types of rainfall data are then used as input for the HEC-HMS hydrological model involving a number of catchment parameters, such as: basin area, stream network, land use/land cover (LULC), soil characteristics and several other parameters. Three analytical methods are assigned to determine the shape of the hydrograph which include: Snyder UH (transformation method), SCS-CN (loss method), and recession (baseflow method). Discharge data converted from water level data is input at the catchment outlet as a reference for setting calibration parameters which are evaluated with the RMSE error indicator. The simulation results show that the predicted discharge deviation from TRMM rainfall data is higher than the predicted discharge from ARG rainfall data with RMSE 0.979 and 1.731 respectively. However, basically this TRMM data can be an alternative data by validating it with ARG rain data to be applied to lack of catchment data.

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Section: Hec Hms-modelmentioning

confidence: 99%

Application of Tropical Rainfall Measuring Mission (TRMM) Data for Flood Estimation in Lack Data Catchment

Tunas,

Herman,

Arafat

2024

IOP Conf. Ser.: Earth Environ. Sci.

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“…One of the fundamental issues in the development and management of water resources is the availability of daily time series flow data [1][2]. This data plays an important role as a reference for determining the maximum flow limit that can be utilized for various purposes such as developing technical irrigation areas, meeting raw water needs, generating hydro power and others [3][4]. The development of water resources is highly dependent on the availability of discharge, especially daily discharge.…”

Section: Introductionmentioning

confidence: 99%

Time Series Modeling on Daily Streamflow in a Lack-Data Catchment

Tunas

Herman

Arafat

2023

IOP Conf. Ser.: Earth Environ. Sci.

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The limited time series data for daily discharge to support the development and management of water resources in a catchment is a classic challenge in hydrology. Various methods, both empirically and conceptually based, have been developed to overcome this problem. This paper presents a time series modeling of daily discharge in relation to the scarcity of discharge data in Sausu Catchment, Central Sulawesi, Indonesia. The simulation has been assigned to the HEC-HMS Model with the input of daily rainfall data for the period 2018-2020 and potential evapotranspiration data. Before this stage is executed, optimization has been performed to determine 17 optimal parameters representing three methods in three sub-models with input data pairs ranfall-discharge in November 2017. Optimal parameters have been achieved at RMSE 10.3, with 2 parameters unchanged. The simulation results indicate that the daily flow of the Sausu River based on daily rainfall data for three years varies in the range of 8 m3/s to 160 m3/s. This trend of time series data flow tends to be associated with daily rainfall data as input.

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The potential for flooding in Koro Bakara watershed area, East Luwu due to the land conversion

Fitrian

Boro

2021

IOP Conf. Ser.: Mater. Sci. Eng.

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Changes in land use in protected forest areas to pepper plantations are one of the serious problems that occur around the Koro Bakara watershed in East Luwu. This study aims to determine (1) irregularities in land use in the Koro Bakara watershed at East Luwu, (2) The level of flood vulnerability in the Bakara East Luwu watershed as a result of land use mismatch. This research was carried out in the East Luwu Koro Bakara watershed area with a total watershed area of 14,010 ha, administratively located in the Sorowako area, Towuti District, East Luwu Regency. The method used was the SWAT Method (Soil and Water Assessment Tool) by using ArcSwat software. This research is included in non-experimental research, namely by using direct observation in the field. Input data in the SWAT Model are slopes, land cover, climate, and soil types. The research shows that the total area of forest area that is in accordance with the pattern of space is only 15.92% for protected forest areas and 6.04% for limited production forest areas. In the Koro Bakara watershed based on the results of the wetness index analysis, there were 71.24% of the watershed area included in the category of no potential, 1.03% of the watershed area included in the category of medium potential, 27.72% of the watershed included in the category of high potential flooding.

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Prediction of land conversion impact on flood peaks using the ITS-2 synthetic unit hydrograph model in Sausu River, Sulawesi, Indonesia

Cited by 3 publications

References 14 publications

Application of Tropical Rainfall Measuring Mission (TRMM) Data for Flood Estimation in Lack Data Catchment

Application of Tropical Rainfall Measuring Mission (TRMM) Data for Flood Estimation in Lack Data Catchment

Time Series Modeling on Daily Streamflow in a Lack-Data Catchment

The potential for flooding in Koro Bakara watershed area, East Luwu due to the land conversion

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