Flood Response System—A Case Study

Singh, Yamuna; Dutta, Upasana; Prabhu, T. S. Murugesh; Prabu, I.; Mhatre, Jitendra; Khare, Manish; Srivastava, Sandeep; Dutta, Soumya

doi:10.3390/hydrology4020030

Cited by 12 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The number of components might increase or decrease in response to conditions on the field. Floods can occur anywhere as a result of heavy rain and can be of different intensities-from small flash floods to sheets of water engulfing huge areas of land, causing destruction either way (Singh et al, 2017). The greater the ability of Yogyakarta Government in expanding cooperation network, the greater the scope of involvement of each stakeholder in reducing flood risk in Yogyakarta and neighboring areas.…”

Section: Dmentioning

confidence: 99%

The Responsiveness and the Ability of “Kampung Tangguh Bencana” in Handling Flood in Yogyakarta City

Sulistiyani

Yuliani

Yuliana

2017

IJPD

View full text Add to dashboard Cite

Yogyakarta City is passed by three rivers, i.e. Winongo River, Code River, and Gajahwong River. Due to that geological condition, Yogyakarta City is prone to annual flood more often than the other types of disaster. Dealing with the risk, the Yogyakarta City Government introduces Kampung Tangguh Bencana or disaster resilient villages (DRV). DRV is a village which has an ability to identify hazards in its environment and is able to organize the human resources in reducing the susceptibility as well as increasing the capacity to reduce the disaster risks. These abilities are carried out in development planning and capacity enhancement in restoration after the emergency condition. Thus, it is important for DRVs to understand the responsiveness and the ability to become autonomous in flood countermeasurement in Yogyakarta City. In order to find out the responsiveness of DRVs in handling the flood, a research using qualitative approach was performed through a set of interviews with key persons. Information was gained from related stakeholders, such as the local government officers, community, and local agency for disaster management (Badan Penanggulangan Bencana Daerah or BPBD) as the organizer of the program. Triangulation method was performed to find out the synchronization between stakeholders. The villages observed in this research were Karanganyar, Warungboto, and Wirobrajan which were located on the river bank. The result of this research covered the description in handling flood through DRVs, the form and identity of DRVs, the contract-expand model action in the management phases of disaster, as well as the advantages and weaknesses of DRVs. The data gained was analyzed in depth by comparing the responsiveness and the ability to become autonomous in the three villages. The recommended formulation was given to the DRVs, the local government, and the local community to carry out the DRVs effectively and sustainably.

show abstract

Section: Dmentioning

confidence: 99%

The Responsiveness and the Ability of “Kampung Tangguh Bencana” in Handling Flood in Yogyakarta City

Sulistiyani

Yuliani

Yuliana

2017

IJPD

View full text Add to dashboard Cite

show abstract

“…Currently, there is a lack of tools that allow professionals to measure flood extents and to make high-resolution assessments in a timely manner. Specialists often rely on river gauge station readings, numerical models, or for surveyors to take manual in situ measurements [4]. However, during a flood event, these resources could be compromised or take time to carry out, resulting in temporal gaps in data.…”

Section: Introductionmentioning

confidence: 99%

Multiscale observation product (MOP) for temporal flood inundation mapping of the 2015 Dallas Texas Flood

Sava,

Cervone,

Kalyanapu

2024

View full text Add to dashboard Cite

This paper presents a new data fusion multiscale observation product (MOP) for flood emergencies. The MOP was created by integrating multiple sources of contributed open-source data with traditional spaceborne remote sensing imagery to provide a sequence of high spatial and temporal resolution flood inundation maps. The study focuses on the 2015 Memorial Day floods that caused up to US$61 million of damage. The Hydraulic Engineering Center River Analysis System (HEC-RAS) model was used to simulate water surfaces for the northern part of the Trinity River in Dallas, using reservoir surcharge releases and topographic data provided by the US Army Corps of Engineers. A measure of fit assessment is performed on the MOP flood maps with the HEC-RAS simulated flood inundation output to quantify spatial differences. Estimating possible flood inundation using individual datasets that vary spatially and temporally allow an understanding of how much each observational dataset contributes to the overall water estimation. Results show that water surfaces estimated by MOP are comparable with the simulated output for the duration of the flood event. Additionally, contributed data, such as Civil Air Patrol, although they may be geographically sparse, become an important data source when fused with other observation data.

show abstract

“…It is important to model and predict inundation extent of floods, which is critical information for flood mitigation [3,4], preparedness [5], and planning and response efforts [6]. Real-time and accurate predictions of flood inundation extent can facilitate understanding the potential flood risk and damage [7,8], and support flood mitigation and planning [9]. Flood inundation maps can be used in flood risk communication using intelligent systems [10,11] and novel communication systems [12].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Flood Mapping on Client-Side Web Systems Using HAND Model

Demir

2021

Hydrology

View full text Add to dashboard Cite

The height above nearest drainage (HAND) model is frequently used to calculate properties of the soil and predict flood inundation extents. HAND is extremely useful due to its lack of reliance on prior data, as only the digital elevation model (DEM) is needed. It is close to optimal, running in linear or linearithmic time in the number of cells depending on the values of the heights. It can predict watersheds and flood extent to a high degree of accuracy. We applied a client-side HAND model on the web to determine extent of flood inundation in several flood prone areas in Iowa, including the city of Cedar Rapids and Ames. We demonstrated that the HAND model was able to achieve inundation maps comparable to advanced hydrodynamic models (i.e., Federal Emergency Management Agency approved flood insurance rate maps) in Iowa, and would be helpful in the absence of detailed hydrological data. The HAND model is applicable in situations where a combination of accuracy and short runtime are needed, for example, in interactive flood mapping and supporting mitigation decisions, where users can add features to the landscape and see the predicted inundation.

show abstract

Flood Response System—A Case Study

Cited by 12 publications

References 20 publications

The Responsiveness and the Ability of “Kampung Tangguh Bencana” in Handling Flood in Yogyakarta City

The Responsiveness and the Ability of “Kampung Tangguh Bencana” in Handling Flood in Yogyakarta City

Multiscale observation product (MOP) for temporal flood inundation mapping of the 2015 Dallas Texas Flood

Real-Time Flood Mapping on Client-Side Web Systems Using HAND Model

Contact Info

Product

Resources

About