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Journal articles on the topic 'FLOOD INUNDATION MAPS'

Author: Grafiati

Published: 11 September 2023

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1

Shrestha, Badri Bhakta. "Approach for Analysis of Land-Cover Changes and Their Impact on Flooding Regime." Quaternary 2, no. 3 (2019): 27. http://dx.doi.org/10.3390/quat2030027.

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This study focused on the analysis of land-use/land-cover changes and their impact on flood runoff, flood hazards and inundation, focusing in the Pampanga River basin of the Philippines. The land-cover maps for the years 1996 and 2016 were generated using Landsat images, and the land cover changes were analyzed using TerrSet Geospatial Monitoring and Modeling System (TGMMS). Based on an empirical approach and considering variable factors, the land-cover maps for the future were predicted using Land Change Modeler (LCM). After preparation of land-cover maps for past and future years, flood char

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2

Chang, Li-Chiu, Mohd Amin, Shun-Nien Yang, and Fi-John Chang. "Building ANN-Based Regional Multi-Step-Ahead Flood Inundation Forecast Models." Water 10, no. 9 (2018): 1283. http://dx.doi.org/10.3390/w10091283.

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A regional inundation early warning system is crucial to alleviating flood risks and reducing loss of life and property. This study aims to provide real-time multi-step-ahead forecasting of flood inundation maps during storm events for flood early warnings in inundation-prone regions. For decades, the Kemaman River Basin, located on the east coast of the West Malaysia Peninsular, has suffered from monsoon floods that have caused serious damage. The downstream region with an area of approximately 100 km2 located on the east side of this basin is selected as the study area. We explore and implem

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3

Gusyev, M. A., Y. Kwak, M. I. Khairul, et al. "Effectiveness of water infrastructure for river flood management – Part 1: Flood hazard assessment using hydrological models in Bangladesh." Proceedings of the International Association of Hydrological Sciences 370 (June 11, 2015): 75–81. http://dx.doi.org/10.5194/piahs-370-75-2015.

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Abstract. This study introduces a flood hazard assessment part of the global flood risk assessment (Part 2) conducted with a distributed hydrological Block-wise TOP (BTOP) model and a GIS-based Flood Inundation Depth (FID) model. In this study, the 20 km grid BTOP model was developed with globally available data on and applied for the Ganges, Brahmaputra and Meghna (GBM) river basin. The BTOP model was calibrated with observed river discharges in Bangladesh and was applied for climate change impact assessment to produce flood discharges at each BTOP cell under present and future climates. For

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Zarekarizi, Mahkameh, K. Joel Roop-Eckart, Sanjib Sharma, and Klaus Keller. "The FLOod Probability Interpolation Tool (FLOPIT): A Simple Tool to Improve Spatial Flood Probability Quantification and Communication." Water 13, no. 5 (2021): 666. http://dx.doi.org/10.3390/w13050666.

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Understanding flood probabilities is essential to making sound decisions about flood-risk management. Many people rely on flood probability maps to inform decisions about purchasing flood insurance, buying or selling real-estate, flood-proofing a house, or managing floodplain development. Current flood probability maps typically use flood zones (for example the 1 in 100 or 1 in 500-year flood zones) to communicate flooding probabilities. However, this choice of communication format can miss important details and lead to biased risk assessments. Here we develop, test, and demonstrate the FLOod

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Kim, Hyun Il, and Kun Yeun Han. "Inundation Map Prediction with Rainfall Return Period and Machine Learning." Water 12, no. 6 (2020): 1552. http://dx.doi.org/10.3390/w12061552.

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To date, various methods of flood prediction using numerical analysis or machine learning have been studied. However, a methodology for simultaneously predicting the rainfall return period and an inundation map for observed rainfall has not been presented. Simultaneous prediction of the return period and inundation map would be a useful technique for responding to floods in real-time and could provide an expected inundation area by return period. In this study, return period estimation for observed rainfall was performed via PNN (probabilistic neural network). SVR (support vector regression) a

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Ziana, Ziana, Azmeri Azmeri, Alfiansyah Yulianur, Ella Meilianda, and Mubarak Mubarak. "Mapping of Flood Inundation and Eco-hydraulic Analyses to Minimize Food Discharge in Tributaries." Aceh International Journal of Science and Technology 12, no. 1 (2023): 126–38. http://dx.doi.org/10.13170/aijst.12.1.31120.

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Eco-hydraulic analyses begin with the arrangement of tributaries. This research aimed to minimize the discharge of flood run-off downstream and map the flood inundation by spatial analysis uses DEMNAS data and mapping of flood inundation areas using ArcGIS. Analysis of return period flood points using HEC-RAS version 5.0.7. The data needed is the cross section of the river, the distance between the sections, the Manning's roughness number, the return period flood discharge and the slope of the river. The integration between topographic maps, watersheds and flood water levels can display areas

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Bhola, Punit, Jorge Leandro, and Markus Disse. "Framework for Offline Flood Inundation Forecasts for Two-Dimensional Hydrodynamic Models." Geosciences 8, no. 9 (2018): 346. http://dx.doi.org/10.3390/geosciences8090346.

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The paper presents a new methodology for hydrodynamic-based flood forecast that focuses on scenario generation and database queries to select appropriate flood inundation maps in real-time. In operational flood forecasting, only discharges are forecasted at specific gauges using hydrological models. Hydrodynamic models, which are required to produce inundation maps, are computationally expensive, hence not feasible for real-time inundation forecasting. In this study, we have used a substantial number of pre-calculated inundation maps that are stored in a database and a methodology to extract t

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8

Uddin, Matin, and Meyer. "Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh." Remote Sensing 11, no. 13 (2019): 1581. http://dx.doi.org/10.3390/rs11131581.

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Bangladesh is one of the most flood-affected countries in the world. In the last few decades, flood frequency, intensity, duration, and devastation have increased in Bangladesh. Identifying flood-damaged areas is highly essential for an effective flood response. This study aimed at developing an operational methodology for rapid flood inundation and potential flood damaged area mapping to support a quick and effective event response. Sentinel-1 images from March, April, June, and August 2017 were used to generate inundation extents of the corresponding months. The 2017 pre-flood land cover map

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9

Chang, Ming-Jui, Hsiang-Kuan Chang, Yun-Chun Chen, et al. "A Support Vector Machine Forecasting Model for Typhoon Flood Inundation Mapping and Early Flood Warning Systems." Water 10, no. 12 (2018): 1734. http://dx.doi.org/10.3390/w10121734.

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Accurate real-time forecasts of inundation depth and extent during typhoon flooding are crucial to disaster emergency response. To manage disaster risk, the development of a flood inundation forecasting model has been recognized as essential. In this paper, a forecasting model by integrating a hydrodynamic model, k-means clustering algorithm and support vector machines (SVM) is proposed. The task of this study is divided into four parts. First, the SOBEK model is used in simulating inundation hydrodynamics. Second, the k-means clustering algorithm classifies flood inundation data and identifie

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Mangukiya, Nikunj K., Darshan J. Mehta, and Raj Jariwala. "Flood frequency analysis and inundation mapping for lower Narmada basin, India." Water Practice and Technology 17, no. 2 (2022): 612–22. http://dx.doi.org/10.2166/wpt.2022.009.

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Abstract Floods are one of the world's most destructive natural disasters, taking more lives and causing more infrastructural damage than any other natural phenomenon. Floods have a significant economic, social, and environmental impact in developing countries like India. As a result, it is essential to address this natural disaster to mitigate its effects. The lower Narmada basin has experienced numerous floods, including severe flooding in 1970, 1973, 1984, 1990, 1994, and 2013. The objective of the present study is to use flood frequency analysis to anticipate peak floods and prepare flood

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11

Adane, Amare, and Brook Abate. "RIVER MODELING FOR FLOOD INUNDATION MAP PREDICTIONS USING 2D-HEC-RAS HYDRAULIC MODELING WITH INTEGRATION OF GIS." ASEAN Engineering Journal 12, no. 1 (2022): 9–15. http://dx.doi.org/10.11113/aej.v12.16483.

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Floods are natural disasters which if occurred produce damage to property and human life. The study of floods is important for protection of properties and human life risk. This study focuses on flooding characteristics in the flood plain of Tikurwha river catchment using two-dimensional (2D) hydrodynamic modeling. The flood inundation map of the flood prone areas is carried out using HEC-RAS 2D models with incorporation of Arc-GIS tools. Hence, using the magnitude of the flood at 2, 10, 50- and 100-year return period with a respective value of 72, 98.69, 123 and 135 (m3/s). The output of floo

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12

Pappenberger, F., K. Frodsham, K. Beven, R. Romanowicz, and P. Matgen. "Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations." Hydrology and Earth System Sciences Discussions 3, no. 4 (2006): 2243–77. http://dx.doi.org/10.5194/hessd-3-2243-2006.

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Abstract. The paper presents a methodology for the estimation of uncertainty of inundation extent, which takes account of the uncertainty in the observed spatially distributed information and implements a fuzzy evaluation methodology. The Generalised Likelihood Uncertainty Estimation (GLUE) technique and the 2-D LISFLOOD-FP model were applied to derive the set of uncertain inundation realisations and resulting flood inundation maps. Conditioning of the inundation maps on fuzzified Synthetic Aperture Radar (SAR) images results in much more realistic inundation risk maps which can better depict

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Pappenberger, F., K. Frodsham, K. Beven, R. Romanowicz, and P. Matgen. "Fuzzy set approach to calibrating distributed flood inundation models using remote sensing observations." Hydrology and Earth System Sciences 11, no. 2 (2007): 739–52. http://dx.doi.org/10.5194/hess-11-739-2007.

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Abstract. The paper presents a methodology for the estimation of uncertainty of inundation extent, which takes account of the uncertainty in the observed spatially distributed information and implements a fuzzy evaluation methodology. The Generalised Likelihood Uncertainty Estimation (GLUE) technique and the 2-D LISFLOOD-FP model were applied to derive the set of uncertain inundation realisations and resulting flood inundation maps. Conditioning of the inundation maps on fuzzified Synthetic Aperture Radar (SAR) images results in much more realistic inundation risk maps which can better depict

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14

Sriariyawat, Anurak, Bounhome Kimmany, Mamoru Miyamoto, Daiki Kakinuma, Shakti P. C., and Supattra Visessri. "An Approach to Flood Hazard Mapping for the Chao Phraya River Basin Using Rainfall-Runoff-Inundation Model." Journal of Disaster Research 17, no. 6 (2022): 864–76. http://dx.doi.org/10.20965/jdr.2022.p0864.

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Flooding is a major natural hazard that can cause significant damage to socioeconomic and ecological systems. This study presents an approach to producing the maximum flood inundation and flood duration maps over the Chao Phraya River Basin (CPRB), Thailand. An integrated numerical model and spatial analysis tool were utilized in this study. The Rainfall-Runoff-Inundation (RRI) model was first used to simulate both river discharge and inundation depth. Then, the maximum flood inundation and flood duration maps with different return periods were estimated using a Geographical Information System

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15

Bales, J. D., and C. R. Wagner. "Sources of uncertainty in flood inundation maps." Journal of Flood Risk Management 2, no. 2 (2009): 139–47. http://dx.doi.org/10.1111/j.1753-318x.2009.01029.x.

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16

Apel, H., O. M. Trepat, N. N. Hung, D. T. Chinh, B. Merz, and N. V. Dung. "Combined fluvial and pluvial urban flood hazard analysis: method development and application to Can Tho City, Mekong Delta, Vietnam." Natural Hazards and Earth System Sciences Discussions 3, no. 8 (2015): 4967–5013. http://dx.doi.org/10.5194/nhessd-3-4967-2015.

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Abstract. Many urban areas experience both fluvial and pluvial floods, because locations next to rivers are preferred settlement areas, and the predominantly sealed urban surface prevents infiltration and facilitates surface inundation. The latter problem is enhanced in cities with insufficient or non-existent sewer systems. While there are a number of approaches to analyse either fluvial or pluvial flood hazard, studies of combined fluvial and pluvial flood hazard are hardly available. Thus this study aims at the analysis of fluvial and pluvial flood hazard individually, but also at developin

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17

Chang, Ming-Jui, I.-Hang Huang, Chih-Tsung Hsu, Shiang-Jen Wu, Jihn-Sung Lai, and Gwo-Fong Lin. "Long-Term Flooding Maps Forecasting System Using Series Machine Learning and Numerical Weather Prediction System." Water 14, no. 20 (2022): 3346. http://dx.doi.org/10.3390/w14203346.

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Accurate real-time forecasts of inundation depth and area during typhoon flooding is crucial to disaster emergency response. The development of an inundation forecasting model has been recognized as essential to manage disaster risk. In the past, most researchers used multiple single-point forecasts to obtain surface flooding depth forecasts with spatial interpolation. In this study, a forecasting model (QPF-RIF) integrating a hydrodynamic model (SOBEK), support vector machine–multi-step forecast (SVM-MSF), and a self-organizing map (SOM) were proposed. The task of this model was divided into

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18

Burnama, Nabila Siti, Faizal Immaddudin Wira Rohmat, Mohammad Farid, et al. "The Utilization of Satellite Data and Machine Learning for Predicting the Inundation Height in the Majalaya Watershed." Water 15, no. 17 (2023): 3026. http://dx.doi.org/10.3390/w15173026.

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The Majalaya area is one of the most valuable economic districts in the south of Greater Bandung, West Java, Indonesia, and experiences at least six floods per year. The floods are characterized by a sudden rise in the water level approximately one to two hours after the rain occurs. With the aim of reducing flood risk, this study models a data-driven method for predicting the inundation height across the Majalaya Watershed. The flood inundation maps of selected events were modeled using the HEC-RAS 2D numerical model. Extracted data from the HEC-RAS model, GSMaP satellite rainfall data, eleva

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Wise, MSCE, EIT, Richard, Andrew Darnell, MSCE, EIT, and John Quaranta, PhD, PE. "Critical review of Terrain Tile and Google Earth: Virtual image mapping methods for floodplain management." Journal of Emergency Management 10, no. 6 (2018): 433. http://dx.doi.org/10.5055/jem.2012.0120.

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Inundation mapping is a major component of floodplain management, providing critical information as to the consequences of potential failures of flood control structures. Flood mitigation efforts rely on the creation of inundation maps to develop appropriate response measures for crisis situations, including dam failures. To develop inundation maps, a dam and river system is modeled with engineering computer programs, and a simulation of the dam failure is performed to generate data for the flood. This output data are input into other programs to develop inundation maps. Inundation maps have t

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P. C., Shakti, Kohin Hirano, and Koyuru Iwanami. "Developing Flood Risk Zones during an Extreme Rain Event from the Perspective of Social Insurance Management." Sustainability 15, no. 6 (2023): 4909. http://dx.doi.org/10.3390/su15064909.

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Recently, Japan has been hit by more frequent and severe rainstorms and floods. Typhoon Hagibis caused heavy flooding in many river basins in central and eastern Japan from 12–13 October 2019, resulting in loss of life, substantial damage, and many flood insurance claims. Considering that obtaining accurate assessments of flood situations remains a significant challenge, this study used a geographic information system (GIS)-based analytical hierarchy process (AHP) approach to develop flood susceptibility maps for the Abukuma, Naka, and Natsui River Basins during the Typhoon Hagibis event. The

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Prabowo, Prabowo, Gusfan Halik, Entin Hidayah, and Taqiudin Haq. "Reduce Flood Losses Of Kali Tanggul Using Spatial Based Technical Approaches." UKaRsT 5, no. 2 (2021): 174. http://dx.doi.org/10.30737/ukarst.v5i2.1678.

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Flood disasters frequently occurred in Jember Regency, East Java. It is usually caused by the overflow of the Tanggul River in the rainy season, especially in the downstream area. Flood control could be done by building dams, embankments, shortcuts, and other technical flood protections. Meanwhile, mitigation efforts such as developing thematic maps of flood inundation need to be done to minimize losses caused by the flood. This study aims to design a flood mitigation strategy technically. The flood control structure was proposed by designing a shortcut in Kali Tanggul. Its performance was ana

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Sava, Elena, Guido Cervone, and Alfred Kalyanapu. "Multiscale Observation Product (MOP) for Temporal Flood Inundation Mapping of the 2015 Dallas Texas Flood." Remote Sensing 15, no. 6 (2023): 1615. http://dx.doi.org/10.3390/rs15061615.

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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 in order 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 USD 61 million dollars 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 rese

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Natho, Stephanie. "How Flood Hazard Maps Improve the Understanding of Ecologically Active Floodplains." Water 13, no. 7 (2021): 937. http://dx.doi.org/10.3390/w13070937.

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Floodplains are threatened ecosystems and are not only ecologically meaningful but also important for humans by creating multiple benefits. Many underlying functions, like nutrient retention, carbon sequestration or water regulation, strongly depend on regular inundation. So far, these are approached on the basis of what are called ‘active floodplains’. Active floodplains, defined as statistically inundated once every 100 years, represent less than 10% of a floodplain’s original size. Still, should this remaining area be considered as one homogenous surface in terms of floodplain function, or

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Darnell, MSCE, EIT, Andrew, Richard Wise, MSCE, EIT, and John Quaranta, PhD, PE. "Comparison of ArcToolbox and Terrain Tiles processing procedures for inundation mapping in mountainous terrain." Journal of Emergency Management 11, no. 2 (2017): 133. http://dx.doi.org/10.5055/jem.2013.0132.

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Floodplain management consists of efforts to reduce flood damage to critical infrastructure and to protect the life and health of individuals from flooding. A major component of this effort is the monitoring of flood control structures such as dams because the potential failure of these structures may have catastrophic consequences. To prepare for these threats, engineers use inundation maps that illustrate the flood resulting from high river stages. To create the maps, the structure and river systems are modeled using engineering software programs, and hydrologic events are used to simulate t

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Pranadiarso, Tedy, Entin Hidayah, and Gusfan Halik. "Pemetaan Cepat Genangan Banjir Menggunakan Teknologi Remote Sensing." Rekayasa Sipil 16, no. 2 (2022): 132–41. http://dx.doi.org/10.21776/ub.rekayasasipil.2022.016.02.9.

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The existence of a flood inundation rapid map is needed in flood mitigation. This research is intended to map flood inundation quickly by utilizing satellite image technology. Sentinel 2 Level 1C technology uses before and after the flood. The extraction process uses the methods of NDWI (Normalized Difference Water Index) and MNDWI (Modified Normalized Difference Water Index). The result is treated with a threshold value by dividing the pixel value into flooded and unflooded areas. The performance model shows that the MNDWI method is more accurate than the NDWI method in producing flood inunda

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Ridolfi, Elena, Silvia Di Francesco, Claudia Pandolfo, Nicola Berni, Chiara Biscarini, and Piergiorgio Manciola. "Coping with Extreme Events: Effect of Different Reservoir Operation Strategies on Flood Inundation Maps." Water 11, no. 5 (2019): 982. http://dx.doi.org/10.3390/w11050982.

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The need of addressing “residual flood risk” associated with structural protection measures, such as levee systems and flood-control reservoirs, has fostered actions aimed at increasing flood risk awareness. Structural measures have lowered risk perception by inducing a false sense of safety. As a result, these structures contribute to an underestimation of the “residual risk”. We analyze the effect of different reservoir operations, such as coping with drought versus coping with flood events, on flood inundation patterns. First, a hydrological model simulates different scenarios, which repres

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Jayapadma, J. M. M. U., Kazuyoshi Souma, Hiroshi Ishidaira, Jun Magome, and T. N. Wickramaarachchi. "The Effect of Incorporation of Embankment Information for Flood Simulation of the Gin River, Sri Lanka." Journal of Disaster Research 17, no. 3 (2022): 475–86. http://dx.doi.org/10.20965/jdr.2022.p0475.

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As flooding is inevitable and becoming increasingly frequent, efficient flood management strategies should be developed to manage floods, especially in developing countries. Rainfall-Runoff-Inundation (RRI) model, which is based on a diffusive wave model, was applied to Gin River Basin, Sri Lanka using daily rainfall data. The RRI model was calibrated and validated for three past flood events (2003, 2016, and 2017) based on observed discharge data and inundation maps developed from ground survey data and satellite images. The Nash–Sutcliffe efficiency (NSE) values for river discharge obtained

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Zanchetta, Andre D. L., and Paulin Coulibaly. "Probabilistic Forecasts of Flood Inundation Maps Using Surrogate Models." Geosciences 12, no. 11 (2022): 426. http://dx.doi.org/10.3390/geosciences12110426.

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The use of data-driven surrogate models to produce deterministic flood inundation maps in a timely manner has been investigated and proposed as an additional component for flood early warning systems. This study explores the potential of such surrogate models to forecast multiple inundation maps in order to generate probabilistic outputs and assesses the impact of including quantitative precipitation forecasts (QPFs) in the set of predictors. The use of a k-fold approach for training an ensemble of flood inundation surrogate models that replicate the behavior of a physics-based hydraulic model

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Kassem, Yousseuf, Hüseyin Gökçekuş, and Nour Alijl. "Flash flood risk assessment modelling and methods: Kyrenia Region, Northern Cyprus." World Journal of Environmental Research 11, no. 1 (2022): 42–52. http://dx.doi.org/10.18844/wjer.v11i1.7190.

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Flash flooding risk impacts can be reduced through the implementation of mitigation strategies plan (MSP) for flood management. This study aims to develop a flash-floods risk mitigation plan, which appears to be beneficial for municipalities, provincial administrators, and authorities to reduce the impact of the flash flood in the Kyrenia region, Northern Cyprus. In this work, rainfall data were collected from the nearest stations for 22 years. The return periods of maximum daily rainfall are also determined by using six formulas. Furthermore, flood inundation and hazard maps were defined by u

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Kassem, Y., H. Gökçekuş, and N. Alijl. "Flash Flood Risk Assessment for Girne Region, Northern Cyprus." Engineering, Technology & Applied Science Research 12, no. 3 (2022): 8728–37. http://dx.doi.org/10.48084/etasr.4939.

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Girne region is in the northern part of Northern Cyprus which is environmentally fragile and susceptible to natural disasters. Flash floods are a major problem in the region due to the heavy and torrential rainfalls in its urban environment. Therefore, this study aims to assess the flash flood risk for the Girne region, using the Geographic Information System (GIS). A mitigation flood risk plan is proposed and applied to the case study of the Girne region. The flood risk matrix is proposed based on the occurrence probability of the flood and the associated inundation depth. The risk matrix cri

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Apel, Heiko, Oriol Martínez Trepat, Nguyen Nghia Hung, Do Thi Chinh, Bruno Merz, and Nguyen Viet Dung. "Combined fluvial and pluvial urban flood hazard analysis: concept development and application to Can Tho city, Mekong Delta, Vietnam." Natural Hazards and Earth System Sciences 16, no. 4 (2016): 941–61. http://dx.doi.org/10.5194/nhess-16-941-2016.

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Abstract. Many urban areas experience both fluvial and pluvial floods, because locations next to rivers are preferred settlement areas and the predominantly sealed urban surface prevents infiltration and facilitates surface inundation. The latter problem is enhanced in cities with insufficient or non-existent sewer systems. While there are a number of approaches to analyse either a fluvial or pluvial flood hazard, studies of a combined fluvial and pluvial flood hazard are hardly available. Thus this study aims to analyse a fluvial and a pluvial flood hazard individually, but also to develop a

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Tadesse, Yohannis Birhanu, and Peter Fröhle. "Modelling of Flood Inundation due to Levee Breaches: Sensitivity of Flood Inundation against Breach Process Parameters." Water 12, no. 12 (2020): 3566. http://dx.doi.org/10.3390/w12123566.

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This paper analyses the sensitivity of flood inundation due to river levee breach against breach process parameters using the 1996 Awash River levee breach case at Wonji, Ethiopia. A parametric levee breach model integrated into the 2D hydrodynamic numerical model Telemac-2D is used to simulate a levee breach flood event at Wonji, Ethiopia. Levee breach process parameters are systemically varied to find out their effect on the flood inundation. The analysis of the model results shows that the flood inundation is sensitive to the final breach dimensions and breach location. However, the paramet

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Dogan, Emrah, Osman Sonmez, Emrah Yapan, Koray Othan, Sait Ozdemir, and Tarik Citgez. "Creating Flood Inundation Maps For Lower Sakarya River." SAÜ Fen Bilimleri Enstitüsü Dergisi 17, no. 3 (2013): 363–69. http://dx.doi.org/10.5505/saufbe.2013.98700.

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Kim, Hyun, Ho Keum, and Kun Han. "Real-Time Urban Inundation Prediction Combining Hydraulic and Probabilistic Methods." Water 11, no. 2 (2019): 293. http://dx.doi.org/10.3390/w11020293.

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Damage caused by flash floods is increasing due to urbanization and climate change, thus it is important to recognize floods in advance. The current physical hydraulic runoff model has been used to predict inundation in urban areas. Even though the physical calculation process is astute and elaborate, it has several shortcomings in regard to real-time flood prediction. The physical model requires various data, such as rainfall, hydrological parameters, and one-/two-dimensional (1D/2D) urban flood simulations. In addition, it is difficult to secure lead time because of the considerable simulati

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Zhou, Xudong, Wenchao Ma, Wataru Echizenya, and Dai Yamazaki. "The uncertainty of flood frequency analyses in hydrodynamic model simulations." Natural Hazards and Earth System Sciences 21, no. 3 (2021): 1071–85. http://dx.doi.org/10.5194/nhess-21-1071-2021.

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Abstract. Assessing the risk of a historical-level flood is essential for regional flood protection and resilience establishment. However, due to the limited spatiotemporal coverage of observations, the impact assessment relies on model simulations and is thus subject to uncertainties from cascade physical processes. This study assesses the flood hazard map with uncertainties subject to different combinations of runoff inputs, variables for flood frequency analysis and fitting distributions based on estimations by the CaMa-Flood global hydrodynamic model. Our results show that deviation in the

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Tran, Hoang, Phu Nguyen, Mohammed Ombadi, Kuolin Hsu, Soroosh Sorooshian, and Konstantinos Andreadis. "Improving Hydrologic Modeling Using Cloud-Free MODIS Flood Maps." Journal of Hydrometeorology 20, no. 11 (2019): 2203–14. http://dx.doi.org/10.1175/jhm-d-19-0021.1.

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Abstract Flood mapping from satellites provides large-scale observations of flood events, but cloud obstruction in satellite optical sensors limits its practical usability. In this study, we implemented the Variational Interpolation (VI) algorithm to remove clouds from NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS) Snow-Covered Area (SCA) products. The VI algorithm estimated states of cloud-hindered pixels by constructing three-dimensional space–time surfaces based on assumptions of snow persistence. The resulting cloud-free flood maps, while maintaining the temporal resolution o

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Pagneux, Emmanuel, and Árni Snorrason. "High-accuracy mapping of inundations induced by ice jams: a case study from Iceland." Hydrology Research 43, no. 4 (2012): 412–21. http://dx.doi.org/10.2166/nh.2012.114.

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Hydraulic modelling is widely used for deriving flood hazard maps featuring depth of flooding and flow velocity from discharge scenarios. Due to uncertainties about flow conditions or inaccurate terrain models, flood hazards maps obtained from hydraulic modelling may be of limited relevance and accuracy. Hydraulic modelling is particularly challenging in Arctic regions, where ice jams lead to flooding in areas that would not be subjected to inundation under open-water conditions. As numerical models of ice jam processes require information that may be difficult and expensive to collect, an alt

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Griesbaum, Luisa, Sabrina Marx, and Bernhard Höfle. "Direct local building inundation depth determination in 3-D point clouds generated from user-generated flood images." Natural Hazards and Earth System Sciences 17, no. 7 (2017): 1191–201. http://dx.doi.org/10.5194/nhess-17-1191-2017.

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Abstract. In recent years, the number of people affected by flooding caused by extreme weather events has increased considerably. In order to provide support in disaster recovery or to develop mitigation plans, accurate flood information is necessary. Particularly pluvial urban floods, characterized by high temporal and spatial variations, are not well documented. This study proposes a new, low-cost approach to determining local flood elevation and inundation depth of buildings based on user-generated flood images. It first applies close-range digital photogrammetry to generate a geo-reference

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Hu, Anson, and Ibrahim Demir. "Real-Time Flood Mapping on Client-Side Web Systems Using HAND Model." Hydrology 8, no. 2 (2021): 65. http://dx.doi.org/10.3390/hydrology8020065.

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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 c

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Hasibuan, M. A. S., Widiatmaka, S. D. Tarigan, and W. Ambarwulan. "Flood Inundation Distribution Modelling for River Boundary Management in Cisadane Sub-Watershed." IOP Conference Series: Earth and Environmental Science 1109, no. 1 (2022): 012087. http://dx.doi.org/10.1088/1755-1315/1109/1/012087.

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Abstract Cisadane watershed is one of the priority watersheds to be restored immediately. The Cisadane River has the potency to cause floods in the river’s border region due to a reduction in river width, river depth, and land-use changes. This study aims to analyze the distribution of flood inundation by employing the HEC-RAS. Flood distribution modeling using components the flood distribution in the steady flow of water level profile component. The permanent flow use is 19 January 2022 discharge. Scenarios discharge was reported with a return period of 5, 10, 25, 50 and 100 years. Digital El

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Awadallah, Mahmoud Omer Mahmoud, Ana Juárez, and Knut Alfredsen. "Comparison between Topographic and Bathymetric LiDAR Terrain Models in Flood Inundation Estimations." Remote Sensing 14, no. 1 (2022): 227. http://dx.doi.org/10.3390/rs14010227.

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Remotely sensed LiDAR data has allowed for more accurate flood map generation through hydraulic simulations. Topographic and bathymetric LiDARs are the two types of LiDAR used, of which the former cannot penetrate water bodies while the latter can. Usually, the topographic LiDAR is more available than bathymetric LiDAR, and it is, therefore, a very interesting data source for flood mapping. In this study, we made comparisons between flood inundation maps from several flood scenarios generated by the HEC-RAS 2D model for 11 sites in Norway using both bathymetric and topographic terrain models.

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Hearn Jr, PhD, Paul P., Herbert E. "Gene" Longenecker III, MS, and Ami N. Rahav. "Delivering integrated HAZUS-MH flood loss analyses and flood inundation maps over the Web." Journal of Emergency Management 11, no. 4 (2017): 293. http://dx.doi.org/10.5055/jem.2013.0145.

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Catastrophic flooding is responsible for more loss of life and damages to property than any other natural hazard. Recently developed flood inundation mapping technologies make it possible to view the extent and depth of flooding on the land surface over the Internet; however, by themselves these technologies are unable to provide estimates of losses to property and infrastructure.The Federal Emergency Management Agency’s (FEMA's) HAZUS-MH software is extensively used to conduct flood loss analyses in the United States, providing a nationwide database of population and infrastructure at risk. U

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Tsitroulis, I., K. Voudouris, A. Vasileiou, C. Mattas, Μ. Sapountzis, and F. Maris. "FLOOD HAZARD ASSESSMENT AND DELIMITATION OF THE LIKELY FLOOD HAZARD ZONES OF THE UPPER PART IN GALLIKOS RIVER BASIN." Bulletin of the Geological Society of Greece 50, no. 2 (2017): 995. http://dx.doi.org/10.12681/bgsg.11804.

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Floods are one of the most common natural hazards in global range and could threat the human life, health, environment and infrastructure. The aim of this paper is the estimation and the delimitation of the likely flood hazard zones, for different rainfall intensities in the upper part of Gallikos river basin (central Macedonia) according to the European directive 2007/60. For the analysis of the meteorological data and the construction of flood zone maps, HYDROGNOMON, HEC-HMS, HEC-RAS free software packages were used. The thematic maps were constructed with ESRI GIS. The results are depicted

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Wang, Zixiong, Ya Sun, Chunhui Li, et al. "Analysis of Small and Medium–Scale River Flood Risk in Case of Exceeding Control Standard Floods Using Hydraulic Model." Water 14, no. 1 (2021): 57. http://dx.doi.org/10.3390/w14010057.

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Exceeding control standard floods pose threats to the management of small and medium–scale rivers. Taking Fuzhouhe river as an example, this paper analyzes the submerged depth, submerged area and arrival time of river flood risk in the case of exceeding control standard floods (with return period of 20, 50, 100 and 200 years) through a coupled one– and two–dimensional hydrodynamic model, draws the flood risk maps and proposes emergency plans. The simulation results of the one–dimensional model reveal that the dikes would be at risk of overflowing for different frequencies of floods, with a hig

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Brandt, S. Anders, and Nancy J. Lim. "Visualising DEM-related flood-map uncertainties using a disparity-distance equation algorithm." Proceedings of the International Association of Hydrological Sciences 373 (May 12, 2016): 153–59. http://dx.doi.org/10.5194/piahs-373-153-2016.

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Abstract. The apparent absoluteness of information presented by crisp-delineated flood boundaries can lead to misconceptions among planners about the inherent uncertainties associated in generated flood maps. Even maps based on hydraulic modelling using the highest-resolution digital elevation models (DEMs), and calibrated with the most optimal Manning's roughness (n) coefficients, are susceptible to errors when compared to actual flood boundaries, specifically in flat areas. Therefore, the inaccuracies in inundation extents, brought about by the characteristics of the slope perpendicular to t

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Chang, Li-Chiu, Fi-John Chang, Shun-Nien Yang, et al. "Building an Intelligent Hydroinformatics Integration Platform for Regional Flood Inundation Warning Systems." Water 11, no. 1 (2018): 9. http://dx.doi.org/10.3390/w11010009.

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Flood disasters have had a great impact on city development. Early flood warning systems (EFWS) are promising countermeasures against flood hazards and losses. Machine learning (ML) is the kernel for building a satisfactory EFWS. This paper first summarizes the ML methods proposed in this special issue for flood forecasts and their significant advantages. Then, it develops an intelligent hydroinformatics integration platform (IHIP) to derive a user-friendly web interface system through the state-of-the-art machine learning, visualization and system developing techniques for improving online fo

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Ouyang, Mao, Yuka Ito, and Tomochika Tokunaga. "Local land subsidence exacerbates inundation hazard to the Kujukuri Plain, Japan." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 657–61. http://dx.doi.org/10.5194/piahs-382-657-2020.

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Abstract. Flood-inundation hazard maps are generally made based on the anticipated flood patterns under the configurations such as current topography and land use/land cover situations. These maps have not taken into account the possible significance of land subsidence and surface environmental changes. The Kujukuri Plain, Japan, the site of this research, has experienced severe land subsidence due to 2011 Tohoku earthquake. This paper aims to quantify the effects of local land subsidence on flood hazards under heavy rainfalls in the Kujukuri Plain. The high-resolution LiDAR data at two differ

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Diehl, Rebecca M., Jesse D. Gourevitch, Stephanie Drago, and Beverley C. Wemple. "Improving flood hazard datasets using a low-complexity, probabilistic floodplain mapping approach." PLOS ONE 16, no. 3 (2021): e0248683. http://dx.doi.org/10.1371/journal.pone.0248683.

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As runoff patterns shift with a changing climate, it is critical to effectively communicate current and future flood risks, yet existing flood hazard maps are insufficient. Modifying, extending, or updating flood inundation extents is difficult, especially over large scales, because traditional floodplain mapping approaches are data and resource intensive. Low-complexity floodplain mapping techniques are promising alternatives, but their simplistic representation of process falls short of capturing inundation patterns in all situations or settings. To address these needs and deficiencies, we f

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Shakti P. C., Kohin Hirano, and Satoshi Iizuka. "Flood Inundation Mapping of the Hitachi Region in the Kuji River Basin, Japan, During the October 11–13, 2019 Extreme Rain Event." Journal of Disaster Research 15, no. 6 (2020): 712–25. http://dx.doi.org/10.20965/jdr.2020.p0712.

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The frequency of severe flood events has been increasing recently in Japan. One of the latest events occurred in October 2019 and caused extensive damage in several river basins, especially in the central and northern regions of the country. In this study, we selected the Hitachi region (Hitachi-Omiya and Hitachi-Ota) within the Kuji River Basin which underwent considerable flooding due to the failure of embankments at two locations in the region. Maximum-possible flood inundation maps were generated using survey-based data and hydrological modeling for the Hitachi region. These maps incorpora

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Zanchetta, Andre D. L., and Paulin Coulibaly. "Hybrid Surrogate Model for Timely Prediction of Flash Flood Inundation Maps Caused by Rapid River Overflow." Forecasting 4, no. 1 (2022): 126–48. http://dx.doi.org/10.3390/forecast4010007.

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Timely generation of accurate and reliable forecasts of flash flood events is of paramount importance for flood early warning systems in urban areas. Although physically based models are able to provide realistic reproductions of fast-developing inundation maps in high resolutions, the high computational demand of such hydraulic models makes them difficult to be implemented as part of real-time forecasting systems. This paper evaluates the use of a hybrid machine learning approach as a surrogate of a quasi-2D urban flood inundation model developed in PCSWMM for an urban catchment located in To

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