Two-Dimensional Model of Ciliwung River Flood in DKI Jakarta for Development of the Regional Flood Index Map

Formánek, Adam; Silasari, Rasmiaditya; Kusuma, Muhammad Syahril Badri; Kardhana, Hadi

doi:10.5614/j.eng.technol.sci.2013.45.3.7

Cited by 21 publications

(16 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Finally, a value of 0.06 for agriculture, 0.1 for green, 0.02 for urban, and 0.01 for water were allocated for the Manning's roughness parameter. The simulation time for the inundation modelling was 72 h, which accounted for the modelled 1-day maximum precipitation of the 50-and 100-year return period floods, and the output time step was 1 h. According to Table 2, the simulated and observed results (surveyed data of Formánek et al, 2013) were consistent at different locations. Additionally, the model performance was tested by comparing observed and estimated flood discharge by FLO-2D at Ratu Jaya river hydro-meteorological section.…”

Section: Assessment Of Flood Inundationmentioning

confidence: 85%

See 1 more Smart Citation

Assessment of future flood inundations under climate and land use change scenarios in the Ciliwung River Basin, Jakarta

Mishra

Emam

Masago

et al. 2017

J Flood Risk Management

View full text Add to dashboard Cite

This study assessed flood inundation of the Ciliwung River Basin, Greater Jakarta to improve the urban water environment under climate change and unplanned urbanisation. The 1‐day maximum precipitation data for 50‐ and 100‐year return period under current and future climate conditions were used to assess the impact of climate change. Precipitation output of the MRI‐CGCM3, MIROC5, and HadGEM2‐ES General Circulation Models (GCMs) with RCP 4.5 and 8.5 emission scenario over periods 1985–2004 and 2020–2039 representing current and future climate conditions, respectively, were used. Similarly, land use data of 2009 and 2030 were used to represent the current and future conditions, respectively. The HEC‐HMS model was used to simulate the river discharge at Katulampa, which represents the outlet location for the hydrologic modelling and the inlet location for the flood inundation modelling. FLO‐2D, a two‐dimensional hydrodynamic model, was used to simulate current and future flood inundation simulations. Increasing flood inundation areas and depths (6% to 31% for different GCMs) in the future reveal the need to improve flood management tools for the sustainable development of urban water environments.

show abstract

Section: Assessment Of Flood Inundationmentioning

confidence: 85%

“…Flooding is considered one of the greatest problems that greater Jakarta is currently facing. High flow rates in the Ciliwung River, which flows through the centre of Jakarta, regularly cause extensive flooding during the rainy season (Formánek et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Assessment of future flood inundations under climate and land use change scenarios in the Ciliwung River Basin, Jakarta

Mishra

Emam

Masago

et al. 2017

J Flood Risk Management

View full text Add to dashboard Cite

show abstract

“…Based on previous study and site investigation, JICA [4] concludes in its project research that the source of the sedimentation in Musi River are the soil surface erosion of its catchment area and the river bank erosion of its tributary, however there is no adequate data and analysis results that could be use as referential erosion rate. Formanek et al [18] conclude in its flood flow numerical model that the most possible maximum velocity is generated around river or channel obstruction. In Musi cases, this might not coincident with highest and or lowest water level as there is a tide influence.…”

Section: Methodsmentioning

confidence: 99%

The Influence of the New LRT Pier to the Sedimentation Pattern Around Ampera Bridge in Musi River, South Sumatera, Indonesia

Kusuma¹

2020

GEOMATE

View full text Add to dashboard Cite

Sedimentation rate, which is the most important parameters of the inland water way performance like Musi River becoming one of a major research topic in Indonesia. The influence of additional pier for the new LRT Bridge constructed parallel to Ampera Bridge to the sedimentation pattern of Musi River was discussed in this paper. Currently, as most of the rivers in Indonesia, a complete field data observation of discharge, sediment characteristic is a luxury one to have. That's why mathematical model, supported by eligible limited field measurements for model calibration and verification, is commonly used to predict the above parameters. Hydrometric survey of water level, sediment samples (both suspended and bed sediment), velocity and bathymetry were conducted to get instantaneous field data. Based on the comparison of two bathymetry map with difference periods of measurements, it was found that the sedimentation rate, was different for high and low tide. Tank model of Sacramento and USLE were used to respectively generate synthetic river discharge and soil surface erosion rate. Hydrodynamic model of SMS 8 was used to predict annual rate of sedimentation. Good comparison of the field measurement and SMS model results was found for current and sediment pattern. The maximum sedimentation occurs during the high tide where the backwater was generated by sea intrusion. The New LRT pier increase the impact of river contractions for both maximum velocity around the Ampera Bridge up to 1.5 time and sedimentation rate behind the pier group of the bridges.

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

Two-Dimensional Model of Ciliwung River Flood in DKI Jakarta for Development of the Regional Flood Index Map

Cited by 21 publications

References 1 publication

Assessment of future flood inundations under climate and land use change scenarios in the Ciliwung River Basin, Jakarta

Assessment of future flood inundations under climate and land use change scenarios in the Ciliwung River Basin, Jakarta

The Influence of the New LRT Pier to the Sedimentation Pattern Around Ampera Bridge in Musi River, South Sumatera, Indonesia

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

Contact Info

Product

Resources

About