Rainfall-runoff modelling calibration on the watershed with minimum stream gage network data

Anggraheni, Evi; Sutjiningsih, Dwita; Widyoko, Jarot

doi:10.14419/ijet.v7i3.29.18538

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…5, there is a strong focus on flood modeling and mapping, representing almost one-third of all papers published since the year 2000. Flood models (Bahtiar et al, 2018;Farid et al, 2012;Formánek et al, 2013; and Santoso, 2019.; Hurford et al, 2010;Mishra et al, 2018;Ogie et al, 2016a;Remondi et al, 2016;Rojali et al, 2017;Takagi et al, 2016b;) and non-model-based flood analyses (Asmadin et al, 2018;Priambodo et al, 2018;Syafalni et al, 2015;Supomo et al, 2017), rainfall and/or runoff (Aditya et al, 2017;Anggraheni et al, 2018;Anindita et al, 2016;Farid et al, 2011;Hermawan et al, 2017;Kurniawan, 2019;Moe et al, 2017;Otsuka et al, 2017;Rafiei Emam et al, 2016;Riyando Moe et al, 2017) and non-modeled rainfall/runoff analyses Nuryanto et al, 2017;Wu et al, 2013), and models and analyses of land subsidence (Agustan et al, 2013;Andreas et al, 2019Andreas et al, , 2018Koudogbo et al, 2012;Park et al, 2016) all aim to better understand and simulate the physical factors that cause or influence flooding issues and measuring its impacts in Jakarta. The same holds true for flood damage or estimated loss models (Budiyono et al, 2015(Budiyono et al, , 2016Kurniyaningrum et al, 2019;Marko et al, 2019;Wahab and Tiong, 2017;…”

Section: Understanding the Drivers Of The Flood Hazardmentioning

confidence: 99%

Mapping the adaptation solution space – lessons from Jakarta for other coastal cities

Wannewitz

Garschagen

2020

Preprint

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Abstract. Coastal cities are under increasing pressure to adapt to climate change. They suffer from the severe effects of increased frequencies and intensities of coastal hazards, particularly flooding, whilst oftentimes continuing to sprawl into hazard exposed areas and grow beyond the pace of sufficient infrastructure development. Even though these problems have been quite well understood for a while, there is still comparatively little knowledge on the solution space, i.e. on the options available for adaptation and the ways in which they are being perceived, framed and evaluated. Focusing on Jakarta as one of the cities with the highest flood risk and adaptation pressure globally, this study presents findings from a systematic review of scientific English literature on mitigation options and the adaptation solution space to counter the city’s chronic flood problem. Results indicate that the perceived solution space is skewed towards protection against flooding, while soft adaptation options as well as measures to live with flooding or retreat from exposed areas are less widely considered. This appears to not only stem from the government’s traditional preference for engineered flood protection measures but also from a bias of scientific analyses towards focusing on understanding the hazard and analyzing engineered flood protection measures, while giving much less attention to soft adaptation options and community-led adaptation focusing among others on social and natural capital, empowerment and capacity building. Similarly, hybrid adaptation approaches, which combine soft and hard measures in a complementary way, are only rarely considered. Looking into the future, the findings suggest that a more integrative scientific approach would be helpful to populate and balance the considered solution space. Jakarta is one of the most heavily researched coastal cities worldwide and lessons from Jakarta are hence of global reach and importance. Future science on the city can play a significant role in piloting new approaches on the pressing frontiers in adaptation research. But increased attention is needed on current epistemic gaps.

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Section: Understanding the Drivers Of The Flood Hazardmentioning

confidence: 99%

Mapping the adaptation solution space – lessons from Jakarta for other coastal cities

Wannewitz

Garschagen

2020

Preprint

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“…ET plays an important role not only in determining water availability but also in estimating irrigation water supply (Thomas, 2000;Wu et al, 2014). Therefore, the accurate representation of ET is important for rainfall-runoff modeling due to its impact on the hydrological responses (Anggraheni et al, 2018), but unfortunately, many watershed in Indonesia lack sufficient ET measurements. To address this issue, previous study was conducted where ET was calculated using a variety of numerical models, such as Penman-Monteith (Aprialdi et al, 2019;Widyanto et al, 2014), Thornthwaite method (Pramudya et al, 2019), and modified Penman (Batchelor, 1984).…”

Section: Introductionmentioning

confidence: 99%

Assessing the Reliability of Satellite-Derived Evapotranspiration Data Using Numerical Modified Penman Method at Citarum Watershed

Anggraheni,

Zulkarnain,

Giardini

et al. 2023

IJG

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Evapotranspiration is an essential part of water availability analysis and crop water needs that are useful to estimate irrigation water demand. Since discharge measurement stations are limited, the analysis of water availability is the most important part of water management planning. Citarum watershed is the biggest watershed in West Java, supplies raw water to Jakarta, the capital city of Indonesia. Modified Penman is the common equation to analyze evapotranspiration, which was developed by Food and Agriculture Organization (FAO) and modified for tropical areas. Evapotranspiration is one term of the water balance equation. To determine water losses, it is necessary to solve this equation. Another source of evapotranspiration data is provided by the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite's standard product, MOD16A2. In order to used the evapotranspiration satelilite data to fullfill the lack of groud station data, the reliability of satelite data is needed. The objective of this study is to compares and analyzes the reliability of satellite evapotranspiration potential images with the numerical Modified Penman method at Citarum Watershed. Modified Penman is one of several methods that calculate the evapotranspiration potential based on climate data. MOD16A2 was used for simulation data, and Modified Penman was used for baseline data. The reliability of the two simulations was analyzed by the skewness percentage of each pixel and period. The distribution of percent skewness indicates the performance of satellite evapotranspiration on the Modified Penman that represents the actual condition. The sensitivity of satellites is greatly affected by local weather conditions.

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“…Several previous studies examined smaller watershed rainfall-runoff simulation in Indonesia using the HEC-HMS model (Sarminingsih et al, 2019;Anggraheni et al, 2018;Delani et al, 2016). HEC-HMS is used widely with ArcGIS 10.5 software in spatial-based hydrological simulation with distributed data, continuous flow models, and calibration facilities.…”

Section: Introductionmentioning

confidence: 99%

Rainfall-Runoff Simulation Using HEC-HMS Model in the Benanain Watershed, Timor Island

Bunganaen

Frans

Legono

et al. 2021

Journal of the Civil Engineering Forum

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Floods in a watershed area are caused by reduced water recharge due to changes in land use, increasing their discharge volume. Benanain watershed is an extensive area with many tributaries. Watershed morphometrics provides initial information about the hydrological behavior and the hydrograph shape of flooding in these areas. Furthermore, rainfall-runoff modeling uses as a unit to approach the hydrological values of the flooding process. This study determines the physical characteristics of the Benanain watershed based on curve number (CN) values, land cover, peak discharge, and peak time. It was conducted on the Benanain watershed with 29 sub-watersheds covering 3,181.521 km2. Data were collected on the rainfall experienced for 13 years from 1996 to 2008 and analyzed using the Log Pearson Type III method, while the HEC HMS model was used for flood discharge analysis. HEC-HMS model must calibrate by adjusting the model parameter values until the model results match historical data such as initial abstraction, lag time, recession, baseflow values, and curve number. The results show that the curve number values range from 56.55 - 73.90, comprising secondary dryland forest and shrubs. Moreover, the rock lithology in the Benanain watershed is dominated by scaly clay and other rock blocks. This means the area has low to very low permeability, which affects the volume of runoff. The return period of a 1000-year flood discharge obtained a peak of 5,794.50 m3/s, with a peak time of ± 14 hours. Morphometry of the Temef watershed with large catchment, radial shape pattern, an average of steep slope river, and meandering affects the peak of flood discharge hydrograph and the peak time of the flood.

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Rainfall-runoff modelling calibration on the watershed with minimum stream gage network data

Cited by 6 publications

References 5 publications

Mapping the adaptation solution space – lessons from Jakarta for other coastal cities

Mapping the adaptation solution space – lessons from Jakarta for other coastal cities

Assessing the Reliability of Satellite-Derived Evapotranspiration Data Using Numerical Modified Penman Method at Citarum Watershed

Rainfall-Runoff Simulation Using HEC-HMS Model in the Benanain Watershed, Timor Island

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