HAND contour: a new proxy predictor of inundation extent

Nobre, Antônio Donato; Cuartas, Luz Adriana; Momo, Marcos Rodrigo; Severo, Dirceu Luís; Pinheiro, Adílson; Nobre, Carlos A.

doi:10.1002/hyp.10581

Cited by 131 publications

(151 citation statements)

References 30 publications

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“…These steps are further explained in this section. Norbre et al (2016) HAND map are relative to the nearest drainage channel. This drainage-normalized representation of the topography has a clear advantage for riverine flood extent mapping, as water depths over land can easily be related to water levels in the river.…”

Section: Flood Extent Mappingmentioning

confidence: 99%

Probabilistic flood extent estimates from social media flood observations

Brouwer¹,

Eilander²,

Loenen³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. The increasing number and severity of floods, driven by phenomena such as urbanization, deforestation, subsidence and climate change, create a growing need for accurate and timely flood maps. In this paper we present and evaluate a method to create deterministic and probabilistic flood maps from Twitter messages that mention locations of flooding. A deterministic flood map created for the December 2015 flood in the city of York (UK) showed good performance (F (2) = 0.69; a statistic ranging from 0 to 1, with 1 expressing a perfect fit with validation data). The probabilistic flood maps we created showed that, in the York case study, the uncertainty in flood extent was mainly induced by errors in the precise locations of flood observations as derived from Twitter data. Errors in the terrain elevation data or in the parameters of the applied algorithm contributed less to flood extent uncertainty. Although these maps tended to overestimate the actual probability of flooding, they gave a reasonable representation of flood extent uncertainty in the area. This study illustrates that inherently uncertain data from social media can be used to derive information about flooding.

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Section: Flood Extent Mappingmentioning

confidence: 99%

Probabilistic flood extent estimates from social media flood observations

Brouwer¹,

Eilander²,

Loenen³

et al. 2017

Nat. Hazards Earth Syst. Sci.

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“…Nobre et al . (, ) developed and validated this method, and because of its relative simplicity it was chosen to generate flood maps for the entire U.S. based on the NWM. Liu et al .…”

Section: Utility Appsmentioning

confidence: 99%

Cyberinfrastructure and Web Apps for Managing and Disseminating the National Water Model

Alcantara

Kesler

Stealey

et al. 2017

J American Water Resour Assoc

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Hydrologic modeling can be used to provide warnings before, and to support operations during and after floods. Recent technological advances have increased our ability to create hydrologic models over large areas. In the United States (U.S.), a new National Water Model (NWM) that generates hydrologic variables at a national scale was released in August 2016. This model represents a substantial step forward in our ability to predict hydrologic events in a consistent fashion across the entire U.S. Nevertheless, for these hydrologic results to be effectively communicated, they need to be put in context and be presented in a way that is straightforward and facilitates management‐related decisions. The large amounts of data produced by the NWM present one of the major challenges to fulfill this goal. We created a cyberinfrastructure to store NWM results, “accessibility” web applications to retrieve NWM results, and a REST API to access NWM results programmatically. To demonstrate the utility of this cyberinfrastructure, we created additional web apps that illustrate how to use our REST API and communicate hydrologic forecasts with the aid of dynamic flood maps. This work offers a starting point for the development of a more comprehensive toolset to validate the NWM while also improving the ability to access and visualize NWM forecasts, and develop additional national‐scale‐derived products such as flood maps.

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“…This floodwater will be harnessed by the Bhungroo installed at that site. Table 10 also shows the height above the nearest drainage values: a relative vertical flow path distance to the nearest drainage useful for several purposes, as indicators of the flood proneness of the sites (Nobre et al 2016;Balana et al 2015). The height to the nearest drainage in the sites at the Weisi and Kpasenkpe communities was very low at 0 and 1 m, respectively, but it was 12 m at the site in Jagsi community.…”

Section: Land Surface Characteristicsmentioning

confidence: 99%

Adapting aquifer storage and recovery technology to the flood-prone areas of northern Ghana for dry-season irrigation

Owusu¹,

Cofie²,

Osei-Owusu³

et al. 2017

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IWMI Working Paper Working PapersThe publications in this series record the work and thinking of IWMI researchers, and knowledge that the Institute's scientific management feels is worthy of documenting. This series will ensure that scientific data and other information gathered or prepared as a part of the research work of the Institute are recorded and referenced. Working Papers could include project reports, case studies, conference or workshop proceedings, discussion papers or reports on progress of research, country-specific research reports, monographs, etc. Working Papers may be copublished, by IWMI and partner organizations.Although most of the reports are published by IWMI staff and their collaborators, we welcome contributions from others. Each report is reviewed internally by IWMI staff. The reports are published and distributed both in hard copy and electronically (www.iwmi.org) and where possible all data and analyses will be available as separate downloadable files. Reports may be copied freely and cited with due acknowledgment. About IWMIIWMI's mission is to provide evidence-based solutions to sustainably manage water and land resources for food security, people's livelihoods and the environment. IWMI works in partnership with governments, civil society and the private sector to develop scalable agricultural water management solutions that have a tangible impact on poverty reduction, food security and ecosystem health. IWMI Working Paper 176 Adapting Aquifer Storage and Recovery Technology to the Flood-prone Areas of Northern Ghana for Dry-season Irrigation

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HAND contour: a new proxy predictor of inundation extent

Cited by 131 publications

References 30 publications

Probabilistic flood extent estimates from social media flood observations

Probabilistic flood extent estimates from social media flood observations

Cyberinfrastructure and Web Apps for Managing and Disseminating the National Water Model

Adapting aquifer storage and recovery technology to the flood-prone areas of northern Ghana for dry-season irrigation

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