Relevant bibliographies by topics / FLOOD INUNDATION MAPS

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  2. Dissertations / Theses
  3. Books
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Academic literature on the topic 'FLOOD INUNDATION MAPS'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "FLOOD INUNDATION MAPS"

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Shrestha, Badri Bhakta. "Approach for Analysis of Land-Cover Changes and Their Impact on Flooding Regime." Quaternary 2, no. 3 (July 28, 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 characteristics were analyzed using a distributed hydrological model named the rainfall runoff inundation (RRI) model with a land-cover map for different years. The impacts of land cover changes on flood runoff, flood volume and flood inundation were analyzed for 50- and 100-year floods. The results show that flood runoff, flood inundation volume and flood extent areas may increase in the future due to land-cover change in the basin.
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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 (September 19, 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 implement a hybrid ANN-based regional flood inundation forecast system in the study area. The system combines two popular artificial neural networks—the self-organizing map (SOM) and the recurrent nonlinear autoregressive with exogenous inputs (RNARX)—to sequentially produce regional flood inundation maps during storm events. The results show that: (1) the 4 × 4 SOM network can effectively cluster regional inundation depths; (2) RNARX networks can accurately forecast the long-term (3–12 h) regional average inundation depths; and (3) the hybrid models can produce adequate real-time regional flood inundation maps. The proposed ANN-based model was shown to very quickly carry out multi-step-ahead forecasting of area-wide inundation depths with sufficient lead time (up to 12 h) and can visualize the forecasted results on Google Earth using user devices to help decision makers and residents take precautionary measures against flooding.
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Gusyev, M. A., Y. Kwak, M. I. Khairul, M. B. Arifuzzaman, J. Magome, H. Sawano, and K. Takeuchi. "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 Bangladesh, the cumulative flood inundation maps were produced using the FID model with the BTOP simulated flood discharges and allowed us to consider levee effectiveness for reduction of flood inundation. For the climate change impacts, the flood hazard increased both in flood discharge and inundation area for the 50- and 100-year floods. From these preliminary results, the proposed methodology can partly overcome the limitation of the data unavailability and produces flood~maps that can be used for the nationwide flood risk assessment, which is presented in Part 2 of this study.
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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 (March 1, 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 Probability Interpolation Tool (FLOPIT). FLOPIT interpolates flood probabilities between water surface elevation to produce continuous flood-probability maps. FLOPIT uses water surface elevation inundation maps for at least two return periods and creates Annual Exceedance Probability (AEP) as well as inundation maps for new return levels. Potential advantages of FLOPIT include being open-source, relatively easy to implement, capable of creating inundation maps from agencies other than FEMA, and applicable to locations where FEMA published flood inundation maps but not flood probability. Using publicly available data from the Federal Emergency Management Agency (FEMA) flood risk databases as well as state and national datasets, we produce continuous flood-probability maps at three example locations in the United States: Houston (TX), Muncy (PA), and Selinsgrove (PA). We find that the discrete flood zones generally communicate substantially lower flood probabilities than the continuous estimates.
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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 (May 29, 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) and a SOM (self-organizing map) were used to predict flood volume and inundation maps. The study area was the Gangnam area, which has experienced extensive urbanization. The database for training SVR and SOM was constructed by one- and two-dimensional flood analysis with consideration of 120 probable rainfall events. The probable rainfall events were composed with 2–100 year return periods and 1–3 hour durations. The SVR technique was used to predict flood volume according to the rainfall return period, and the SOM was used to cluster various expected flood patterns to be used for predicting inundation maps. The prediction results were compared with the simulation results of a two-dimensional flood analysis model. The highest fitness of the predicted flood maps in the study area was calculated at 85.94%. The proposed method was found to constitute a practical methodology that could be helpful in improving urban flood response capabilities.
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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 (April 30, 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 that are potentially affected by inundation floods, so that the flood inundation limits and flood inundation areas can be calculated. This research examined proper eco-hydraulics design so that it could reduce discharge, identify locations prone to flooding, and describe the magnitude of the flood impact quantitatively. The results eco-hydraulic method obtained the design border width of 100 m, the condition before the existing river border arrangement was carried out, the inundation height was 0.30 – 1.13 m and after the river border arrangement the discharge could be reduced to 113.09 – 209 m3/s and the inundation height is 0 – 0.31 m. Based on the research results, it is known that border arrangement can provide benefits for flood control measures.
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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 (September 13, 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 the most likely maps in real-time. The method uses real-time discharge forecast at upstream gauge as an input and compares it with the pre-recorded scenarios. The results show satisfactory agreements between offline inundation maps that are retrieved from a pre-recorded database and online maps, which are hindcasted using historical events. Furthermore, this allows an efficient early warning system, thanks to the fast run-time of the proposed offline selection of inundation maps. The framework is validated in the city of Kulmbach in Germany.
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Uddin, Matin, and Meyer. "Operational Flood Mapping Using Multi-Temporal Sentinel-1 SAR Images: A Case Study from Bangladesh." Remote Sensing 11, no. 13 (July 3, 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 maps were prepared using Landsat-8 images to identify major land cover on the ground before flooding. The overall accuracy of flood inundation mapping was 96.44% and the accuracy of the land cover map was 87.51%. The total flood inundated area corresponded to 2.01%, 4.53%, and 7.01% for the months April, June, and August 2017, respectively. Based on the Landsat-8 derived land cover information, the study determined that cropland damaged by floods was 1.51% in April, 3.46% in June, 5.30% in August, located mostly in the Sylhet and Rangpur divisions. Finally, flood inundation maps were distributed to the broader user community to aid in hazard response. The data and methodology of the study can be replicated for every year to map flooding in Bangladesh.
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Chang, Ming-Jui, Hsiang-Kuan Chang, Yun-Chun Chen, Gwo-Fong Lin, Peng-An Chen, Jihn-Sung Lai, and Yih-Chi Tan. "A Support Vector Machine Forecasting Model for Typhoon Flood Inundation Mapping and Early Flood Warning Systems." Water 10, no. 12 (November 26, 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 identifies the dominant clusters of flood gauging stations. Third, SVM yields water level forecasts with 1–3 h lead time. Finally, a spatial expansion module produces flood inundation maps, based on forecasted information from flood gauging stations and consideration of flood causative factors. To demonstrate the effectiveness of the proposed forecasting model, we present an application to the Yilan River basin, Taiwan. The forecasting results indicate that the simulated water level forecasts from the point forecasting module are in good agreement with the observed data, and the proposed model yields the accurate flood inundation maps for 1–3 h lead time. These results indicate that the proposed model accurately forecasts not only flood inundation depth but also inundation extent. This flood inundation forecasting model is expected to be useful in providing early flood warning information for disaster emergency response.
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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 (January 31, 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 inundation maps for the lower Narmada River reach. The flood frequency analysis was carried out using Gumbel's and Log-Pearson Type III Distribution methods. The hydrodynamic simulation was performed using HEC-RAS v6.0 to prepare flood inundation maps for predicted flood peaks. The result shows that the Log-Pearson Type-III distribution method gives good results for the lower return period while Gumbel's method gives good results for the higher return period. The hydrodynamic model results indicate that as the return period increases, the area of the high-risk zone increases while the area of the low-risk zone remains almost constant. The present study concludes that the existing embankment system on the banks of the Narmada River is not sufficient for significant floods. The developed maps will be helpful to government authorities and individual stakeholders to decide the flood mitigation measures.
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Dissertations / Theses on the topic "FLOOD INUNDATION MAPS"

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Kirk, Johnathan. "A Methodology for Developing GIS-based Probabilistic Riverine Flood Inundation Maps for Tonawanda Creek in Western New York." Kent State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=kent1374683760.

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Lamichhane, Niraj. "Prediction of Travel Time and Development of Flood Inundation Maps for Flood Warning System Including Ice Jam Scenario. A Case Study of the Grand River, Ohio." Youngstown State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1463789508.

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Restrepo, Ana Catalina. "Analysis of storm surge impacts on transportation systems in the Georgia coastal area." Thesis, Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/42897.

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Many Climate Scientists believe that global warming will produce more extreme weather events such as tropical storms, hurricanes, intense rainfall, and flooding. These events are considered to be the most catastrophic natural events for transportation systems especially in coastal areas. Due to the severe damage from storm surge and flooding. Evaluating the magnitude of possible storm surges and their impacts on transportation systems in coastal areas is fundamental to developing adaptation plans and impact assessments to mitigate the damage. This thesis focuses on existing transportation systems in the Georgia coastal area that could be affected by several storm surges. An existing storm surge model is used to estimate the storm surges and the surge heights based on the category, direction, and forward speed of a storm. The ground elevation of the ports, interstates, state roads, railroads, and the principal airports on the Georgia coast are identified through a GIS analysis using the national elevation data set. Having the storm surge elevation and the elevation of the existing infrastructure, a GIS study is performed to identify those parts of the transportation system that will be affected by each type of storm giving results such as the length or sections of transportation assets under or above the surge elevation. A literature review of storm surge, rising sea levels, and their impacts on coastal bridges, roads, airports, ports, and railroads is presented in the thesis. Also, a description of the software used to analyze and estimate the impacts of climate change on transportation systems is described.
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Lai, Yen-Wei, and 賴彥維. "Investigation on Flood Inundation Probability Maps." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/71166216497264824774.

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碩士
國立臺灣大學
生物環境系統工程學研究所
97
Taiwan is located at a special point, which is in the path of typhoons from northeast Pacific Ocean. Taiwan is also situated in a tropical-subtropical transition zone. As a result, rainfall is abundant all the year round, especially in summer and autumn. For flood inundation analysis in Taiwan, there exist a lot of uncertainties in hydrological, hydraulic and land-surface topography characteristics, which can change flood inundation characteristics. According to the 7th work item of article 22 in Disaster Prevention and Protection Act, for preventing flood disaster being deteriorating, investigation analysis of disaster potentials, hazardous degree and situation simulation must be proceeded with scientific approaches. However, the flood potential analysis uses a deterministic approach to define flood inundation without considering data uncertainties. This research combines data uncertainty concept in flood inundation maps for showing flood probabilities in each grid. It can be an emergency evacuation basis as typhoons come and extremely torrential rain begin. The research selects Hebauyu watershed of Chiayi County as the demonstration area. Owing to uncertainties of data used, sensitivity analysis is first conducted by using Latin Hypercube sampling (LHS). LHS data sets are next input into an integrated numerical model, which is herein developed to assess flood inundation hazards in coastal lowlands, base on the extension of the 1-D river routing model and the 2-D inundation routing model. Finally, the probability of flood inundation simulation is calculated, and the flood inundation probability maps are obtained. Flood Inundation probability maps can be an alternative of the old flood potential maps for being a regard of building new hydraulic infrastructure in the future.
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BISHT, VARSHA. "FLOOD MAPPING IN GREATER NOIDA USING ArcGIS AND HECRAS." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15424.

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Floods are considered major hazardous processes, given the rising number of events, the large number of people affected, the associated damage and losses and the growing socioeconomic impacts which cause widespread disturbance. Hydraulic modeling is an important tool for a reliable flood forecasting system. Simulation results from hydraulic modelling can be used to produce flood inundation mapping that community officials or the general public can deploy to evaluate their flood risk. Mapping a floodplain requires the forecasting of the stream behaviour for various recurrence intervals, storm events and the ability to translate the forecasted results into an extent of flooding plan view. With the companion GIS utility HEC-Geo RAS, water surface profile can easily be converted into flood inundation maps. The present work discusses general hydraulic modelling and softwares as applied to some select area of western of Uttar Pradesh. 1-D hydraulic model HEC-RAS of steady flow, using a higher resolution topographic surface including hydro geomorphological details and other features influencing hydraulic characteristics, was applied to Hasanpur drain as well as urban and rural areas in order to determine the flood prone areas for a return period of 2,10and 25 years.
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解佩穎. "The Study of the Flood Space in Taichung－Base on the Inundation Potential Maps and the Population Census." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/69864765228122591539.

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碩士
國立彰化師範大學
地理學系
97
Abstract Based on the Inundation Potential Maps from National Science and Technology Center for Disaster Reduction, and the data of 2000 Taiwanese Population Census from Directorate-General of Budget, Accounting and Statistics, Executive Yuan, R.O.C., This research attempts to evaluate the influence of flood in Taichung area by the scale of village, considering some population factors according the census data, such as population density, elderly people , young people, disabled people, unemployed people, and poorly educated people. Those factors integrate with the 150, 300, 450, 600 millimeter Inundation Potential Maps. Three conclusions can be made: (1) The two major flooding areas, the coast lowland (Wu-Qi and Long-Jing) and the conjunction area(Wu-Ri) of Da-Du streams, are not the most serious affected areas due to less populated. (2) Urban areas have less influence when the rainfall is 150 millimeter, as the rainfall increase, serious affected areas increase faster than other areas due to higher populated. (3) By changing factors and their weights, the resulting serious affected areas can be quite different. Therefore, more research on the factors and their weights is needed in the future.
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Robayo, Oscar. "Map to map converting a NEXRAD rainfall map into a flood inundation map /." Thesis, 2005. http://repositories.lib.utexas.edu/bitstream/handle/2152/1706/robayoo50355.pdf.

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Books on the topic "FLOOD INUNDATION MAPS"

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author, Johnson Esther M., Geological Survey (U.S.), and United States. Army. Corps of Engineers. Detroit District, eds. Flood-inundation maps for the North Branch Elkhart River at Cosperville, Indiana. Reston, Virginia: U.S. Department of the Interior, U.S. Geological Survey, 2014.

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Bales, Jerad. LiDAR-derived flood-inundation maps for real-time flood-mapping applications, Tar River basin, North Carolina. Reston, Va: U.S. Geological Survey, 2007.

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Jones, Joseph L. Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling: A pilot study of the Snoqualmie River, Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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L, Jones Joseph. Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling: A pilot study of the Snoqualmie River, Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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L, Jones Joseph. Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling: A pilot study of the Snoqualmie River, Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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L, Jones Joseph. Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling: A pilot study of the Snoqualmie River, Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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L, Jones Joseph. Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling: A pilot study of the Snoqualmie River, Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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L, Jones Joseph. Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling: A pilot study of the Snoqualmie River, Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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L, Jones Joseph. Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling: A pilot study of the Snoqualmie River, Washington. Tacoma, Wash: U.S. Dept. of the Interior, U.S. Geological Survey, 2002.

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Book chapters on the topic "FLOOD INUNDATION MAPS"

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Leng, Qing, Ming Zhang, Gensheng Zhao, Senhao Mao, and Ang Jiang. "Simulation and Hazard Map of Flooding Caused by the Break of a Concrete Gravitational Dam." In Lecture Notes in Civil Engineering, 1248–60. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6138-0_109.

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AbstractThe simulation of Concrete Gravitational Dam burst floods is an important research content in the field of disaster prevention and mitigation in water conservancy projects. Due to the extreme rainfall, earthquake, structure failure and etc., the concrete gravitational dam usually breaks in a short time period. The dam break flood will give an extreme risk to the downstream communities. Taking the flood simulation of the Kaliwa Dam in the Philippines as an example, based on the downstream channel of the dam body and the measured terrain on both sides, a numerical simulation model of one-dimensional and two-dimensional coupled flood evolution is constructed, and the numerical simulation of the flood evolution process of the dam collapse is carried out, counts the inundation range, water depth, flow velocity, flood arrival time and other disaster causing factors in the downstream inundation area, and draws the flood hazard map of both banks downstream. The simulation results show that the KALIWA burst accident occurred, the total inundation area downstream is over 38 km2 in the downstream of the Kaliwa Dam. The dam break flood peak takes 1.5 h to reach the downstream estuary, which is the shortest time. The General Nakar City and Infanta City are inundated completely with the depth of 1.0 m to 2.0 m. The terrain near the upper reaches of the lower estuary is open and flat, the downstream area will be affected seriously by the flood. It is proposed to build a flood warning system to give the people downstream of Kaliwa Dam. The results of the research will provide a scientific basis for dam-break flood risk analysis, disaster assessment.
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Mfundisi, Kelebogile B., Alex M. Mudabeti, and Anastacia Makati. "Integrating Geoinformatics and Remote Sensing Data to Assess Impacts of Flooding on Land Productivity in the Zambezi River Floodplains, Namibia." In Advances in Geospatial Technologies, 201–12. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3440-2.ch013.

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Exposure to flood waters poses a risk to land productivity and livelihoods of communities in the Zambezi River Basin who are engaged in arable agricultural activities along its floodplains. This is exacerbated by occurrence of frequent flooding events in the area since 2008 due to climate variability. The objective of this research is to assess the extent of exposure to flooding on floodplain land used for maize production along the Zambezi River in Namibia. Existing survey information on geospatial locations of farms is used as baseline data. Field survey maps are then overlaid into flood maps developed using 2013 Landsat satellite data taken during peak flood event, and DEM. Weighted sum overlay results show that 14.5% of croplands were inundated with floods by March 2013. Integration of inundation results into a DEM show areas at low, medium and high risk to flooding. This provides useful geospatial information for flood mitigation.
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Ali, Anuar bin Md. "Uncertainty in simulating design flood profiles and inundation maps on the Johor River, Malaysia." In Flood Inundation Modeling and Hazard Mapping Under Uncertainty in the Sungai Johor Basin, Malaysia, 103–21. CRC Press, 2018. http://dx.doi.org/10.1201/9780429469015-7.

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Tüdeş, Şule, Kadriye Burcu Yavuz Kumlu, and Sener Ceryan. "Integration Between Urban Planning and Natural Hazards For Resilient City." In Advances in Civil and Industrial Engineering, 591–630. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2709-1.ch017.

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Analyses and syntheses conducted before the urban planning process are significant. Accurate analysis and synthesis enable to determine proper site selection and the proper site selection is the basis of a sustainable urban plan. In this sense, fundamental analysis inputs of the proper site selection could be indicated as the related parameters of the earth sciences. The interpretation of these inputs require the essential analyses and syntheses of initially the geological and geotechnical research with geophysics, tectonic, topography, mineral and natural resources, hydrogeology, geomorphology and engineering geology. Synthesis maps composed of these inputs especially provide guides for natural thresholds consisting of landslide, flood, inundation, earthquake etc. for land use planning and site selection parts in the urban planning processes. In this regard, this chapter of the book contains the relation between the earth sciences parameters with the urban planning and the way these parameters lead the way of urban planning processes.
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Tüdeş, Şule, Kadriye Burcu Yavuz Kumlu, and Sener Ceryan. "Integration Between Urban Planning and Natural Hazards for Resilient City." In Smart Cities and Smart Spaces, 1256–94. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7030-1.ch056.

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Analyses and syntheses conducted before the urban planning process are significant. Accurate analysis and synthesis enable to determine proper site selection and the proper site selection is the basis of a sustainable urban plan. In this sense, fundamental analysis inputs of the proper site selection could be indicated as the related parameters of the earth sciences. The interpretation of these inputs require the essential analyses and syntheses of initially the geological and geotechnical research with geophysics, tectonic, topography, mineral and natural resources, hydrogeology, geomorphology and engineering geology. Synthesis maps composed of these inputs especially provide guides for natural thresholds consisting of landslide, flood, inundation, earthquake etc. for land use planning and site selection parts in the urban planning processes. In this regard, this chapter of the book contains the relation between the earth sciences parameters with the urban planning and the way these parameters lead the way of urban planning processes.
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Tüdeş, Şule, Kadriye Burcu Yavuz Kumlu, and Sener Ceryan. "Integration Between Urban Planning and Natural Hazards For Resilient City." In E-Planning and Collaboration, 1157–96. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5646-6.ch055.

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Analyses and syntheses conducted before the urban planning process are significant. Accurate analysis and synthesis enable to determine proper site selection and the proper site selection is the basis of a sustainable urban plan. In this sense, fundamental analysis inputs of the proper site selection could be indicated as the related parameters of the earth sciences. The interpretation of these inputs require the essential analyses and syntheses of initially the geological and geotechnical research with geophysics, tectonic, topography, mineral and natural resources, hydrogeology, geomorphology and engineering geology. Synthesis maps composed of these inputs especially provide guides for natural thresholds consisting of landslide, flood, inundation, earthquake etc. for land use planning and site selection parts in the urban planning processes. In this regard, this chapter of the book contains the relation between the earth sciences parameters with the urban planning and the way these parameters lead the way of urban planning processes.
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Tripathi, Gaurav, Arvind Chandra Pandey, Bikash Ranjan Parida, and Achala Shakya. "Comparative Flood Inundation Mapping Utilizing Multi-Temporal Optical and SAR Satellite Data Over North Bihar Region." In Advances in Environmental Engineering and Green Technologies, 149–68. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-5027-4.ch008.

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Floods are investigated to be the utmost frequent and destructive phenomena among all other types of natural calamities worldwide. Thus, flood events need to be mapped to understand their impact on the affected region. The present case study is intended to examine and analyze the flood events occurred in July-August 2019 over the Northern Bihar region situated in Kosi and Gandak river basins. Furthermore, a comparative study was carried out to map the satellite based near real time flood inundation using multi-temporal Sentinel–1A (SAR) and MODIS NRT Flood data (optical and 3-day composite). Optical (MODIS) and Sentinel-1 SAR data were acquired to compare their flood inundation extent and the result shows overestimation in MODIS flood data due to varying spatial resolutions.
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Brema J. "Flood Modelling and Mapping." In Advances in Environmental Engineering and Green Technologies, 104–39. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9771-1.ch006.

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This chapter presents an overview of the important concepts related to flood hazard assessments and explores the use of remote sensing data from satellites to supplement traditional assessment techniques. The method presented in this chapter can be used in sectoral planning activities and integrated planning studies and for damage assessment. The chapter presents the application of flood modelling to the study area. The study area, Adyar River in Chennai, has experienced major floods in the past decade which is attributed to increased urbanization. The hydrologic model for the Adyar River Basin was set up using HEC geoHMS and was run and calibrated using observed flow in HEC-HMS. The chapter also discusses the results obtained from the IDF analysis and its application in HEC HMS to generate hypothetical storm hydrographs. Furthermore, the chapter goes on to discuss the results obtained from the hydraulic modelling such as the inundation map for the 2005 flood event and the inundation map for hypothetical storms of varying return periods.
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van Asperen, Hanneke. "Landscape as Wounded Body." In Dealing with Disasters from Early Modern to Modern Times. Nieuwe Prinsengracht 89 1018 VR Amsterdam Nederland: Amsterdam University Press, 2023. http://dx.doi.org/10.5117/9789463725798_ch03.

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Throughout the centuries, artists employed many models to picture inundations. The most often cited are depictions of mythical, biblical, and historical floods. In addition, artists sometimes used unexpected but equally dramatic models. In 1754 the prolific eighteenth-century draughtsman and printmaker Simon Fokke designed an image of recent dyke breaches for the triweekly periodical Nederlandsche jaerboeken. Prominently depicted in the foreground of Fokke’s image is a map of the flooded region. This element of a map, with mourning cherubs on either side, recalls religious, specifically Catholic, imagery that centralises the dead body of Christ. Arguably, Fokke used these images of pity to depict the land as a tangible and suffering body in order to evoke feelings of compassion. Hence, the depiction encouraged viewers to extend these feelings of empathy towards a part of the country where they may not have resided themselves, in keeping with the synthesising goals of the periodical.
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Conference papers on the topic "FLOOD INUNDATION MAPS"

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Cohen, Sagy, Austin Raney, Dinuke Munasinghe, John Galantowicz, and G. Robert Brakenridge. "Estimating floodwater depths from flood inundation maps and topography." In Remote Sensing of the Open and Coastal Ocean and Inland Waters, edited by Robert J. Frouin and Hiroshi Murakami. SPIE, 2018. http://dx.doi.org/10.1117/12.2324982.

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Fereshtehpour, Mohammad, and Mohammad Karamouz. "How Accurate and Practical Flood Inundation Maps Are Using Low Resolution DEMs." In World Environmental and Water Resources Congress 2016. Reston, VA: American Society of Civil Engineers, 2016. http://dx.doi.org/10.1061/9780784479841.008.

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Yagi, Ryuusei, Shuichi Kure, Shouma Ishikawa, and Bambang Priyambodho. "Development of User-Friendly Hazard Maps and Information Based on Maximum Flood Inundation." In Watershed Management Conference 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784483060.011.

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Hernandez-morales, Joaris, and Tyler Madsen. "EVALUATION OF FLOOD INUNDATION MAPS FROM HURRICANE IDA IN THE MIDDLE ATLANTIC REGION." In GSA Connects 2022 meeting in Denver, Colorado. Geological Society of America, 2022. http://dx.doi.org/10.1130/abs/2022am-383056.

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"A comparison of Landsat and MODIS flood inundation maps for hydrodynamic modelling in the Murray Darling Basin." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.l5.ticehurst.

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Savage, James, Paul Bates, Jim Freer, Jeffrey Neal, and Giuseppe Aronica. "The Impact of Scale on Probabilistic Flood Inundation Maps Using a 2D Hydraulic Model with Uncertain Boundary Conditions." In Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA). Reston, VA: American Society of Civil Engineers, 2014. http://dx.doi.org/10.1061/9780784413609.029.

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BENCHATTOU, Abdelmoumen, and Mohamed EL GHACHI. "Modelling of the Floods of Rivers for the Integrated Management of the Risk of Inundation: Case of the Basin Overturning of Toudgha (Southeast of Morocco)." In Air and Water – Components of the Environment 2023 Conference Proceedings. Casa Cărţii de Ştiinţă, 2023. http://dx.doi.org/10.24193/awc2023_03.

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Climate change is now widely recognized by the scientific community. Nevertheless, its impact on hydrological extremes is not yet known. Half of the world's natural disasters are floods. These disasters result from heavy rainfall, concentrated in time and space. Morocco has experienced floods of exceptional severity in terms of human and economic losses. The catchment area of Wadi Toudgha is located in the South-East of Morocco with an area of 970 km² considered among the most attractive areas for tourists at national and international level, but this basin suffers from hydrological extremes, especially floods for a long time, these hydrological extremes are hydrometeorological phenomena with often dramatic and catastrophic consequences from a material, human and environmental point of view. The methodology adopted in this scientific contribution allows us to assess the risk of floods, it is based on the idea that the risk of these hydrological extremes is the result of the factor of hazard and the factor of vulnerability, this hydrological modelling allows to understand the spatio-temporal evolution of floods and also to determine the extension of floods and historical floods. According to the application, a flood risk map has been produced to allow managers to take mitigation measures in areas likely to be affected by floods and to act more effectively in case of a flood.
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Cools, Mario, Ismaïl Saadi, Ahmed Mustafa, and Jacques Teller. "Calibration of MATSim in the context of natural hazards in Belgium." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4098.

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In Belgium, river floods are among the most frequent natural disasters and they may cause important changes on travel demand. In this regard, we propose to set up a large scale scenario using MATSim for guarantying an accurate assessment of the river floods impact on the transportation systems. In terms of inputs, agent-based models require a base year population. In this context, a synthetic population with a respective set of attributes is generated as a key input. Afterwards, agents are assigned activity chains through an activity-based generation process. Finally, the synthetic population and the transportation network are integrated into the dynamic traffic assignment simulator, i.e. MATSim. With respect to data, households travel surveys are the main inputs for synthesizing the populations. Besides, a steady-state inundation map is integrated within MATSim for simulating river floods. To our knowledge, very few studies have focused on how river floods affect transportation systems. In this regard, this research will undoubtedly provide new insights in term of methodology and traffic pattern analysis under disruptions, especially with regard to spatial scale effects. The results indicate that at the municipality level, it is possible to capture the effects of disruptions on travel behavior. In this context, further disaggregation is needed in future studies for identifying to what extent results are sensitive to disaggregation. In addition, results also suggest that the target sub-population exposed to flood risk should be isolated from the rest of the travel demand to reach have more sensitive effects.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4098
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Sequeiros, Octavio, and Sergio Jaramillo. "Extreme Coastal Inundation Under Different Climate Scenarios: Fourchon Junction Case Study." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/30940-ms.

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Abstract Port Fourchon Junction is located within Chevron's Fourchon Terminal, just south of Port Fourchon and is operated by Shell Pipeline Company LP. This manifold metering station is a critical junction for the Mars Corridor oil, as oil production from Mars (MC-807), Ursa (MC-809), Titan (MC-941), Who Dat (MC-547), Medusa (MC-582), and Olympus (MC-807B) flows through this station via a 24" pipeline. Port Fourchon is at the edge of the Mississippi delta facing the sea, one of the world's most vulnerable low-elevation coastal zones. It is highly exposed to storm surge and wave-induced inundation under hurricanes which regularly visit the Gulf of Mexico. In addition, it experiences one of the largest rates of subsidence in the world, which combined with sea level rise, will increase the site vulnerability in the coming decades. This study assesses present and future scenarios of subsidence and sea level rise under extreme metocean conditions induced by hurricanes and their impact on Port Fourchon Junction. Local effects such as the differential settlement of the barrier beach have been also considered. Using results from the numerical model XBeach, a set of different present and future scenarios are modelled under extreme metocean conditions. These conditions and the subsequent design parameters calculated, are not obtained through traditional extreme value analysis methods, instead, they are estimated through the influence of boundary conditions forced with the corresponding return period values of the parameters. Boundary conditions for the simulations are extracted from Grand Isle and Port Fourchon sea level observations, and from FEMA and the Water Institute of the Gulf simulations. Port Fourchon site should be subject to flooding for 10-year return period conditions based on Grand Isle observations. For 5-6 years return period conditions some degree of milder partial flood should also be expected. This is well captured by the model. While the highest inundating level is mostly dependent on winds, waves and surge acting together, surge is the single most critical parameter that defines the asset's base inundation level. Design future conditions based on surge extreme from FEMA simulations are recommended over surge extremes derived from Grand Isle observations. The barrier beach and the breakwaters play a key factor in sheltering site from waves and surge. Even when submerged under extreme high return period conditions they dissipate the waves ensuring that the maximum water level (wave crest elevation) on site is lower than would otherwise be without them. It is then important to maintain them fit for purpose during the entire lifespan of the asset. Both Grand Isle and Port Fourchon subsidence scenarios yield similar results. Based on the importance of Port Fourchon Junction facilities, the design criteria obtained, and the higher subsidence level observed at Port Fourchon (compared to Grand Isle), it is recommended that a 1000-year return period and future scenario based on FEMA surge level and Port Fourchon Relative Sea Level Rise (RSLR) is adopted for design. The subsidence associated to this scenario is 9.8 mm/year. The sea level rise associated to this scenario is 2 mm/year.
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Reports on the topic "FLOOD INUNDATION MAPS"

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Bell, Gary, David Abraham, Gaurav Savant, and Anthony G. Emiren. Hydrodynamics in the Morganza Floodway and Atchafalaya Basin, report 3 : phase 3; a report for the US Army Corps of Engineers, MRG&P. Engineer Research and Development Center (U.S.), January 2022. http://dx.doi.org/10.21079/11681/42800.

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The Morganza Floodway and the Atchafalaya Basin, located in Louisiana west of the Mississippi River, were evaluated using a two-dimensional Adaptive Hydraulics model. Prior to this study, Phase 1 and 2 model studies were performed that indicated that the existing floodway may not be able to pass the Project Design Flood discharge of 600,000 cubic feet per second due to levee overtopping. In this study, all elevations of exterior and interior levees were updated with current crest elevations. In addition, the Phase 3 effort evaluated the sensitivity of the floodway’s flow capacity to variations in tree/vegetation density conditions. These adjustments in roughness will improve the understanding of the role of land cover characteristics in the simulated water surfaces. This study also provides a number of inundation maps corresponding to certain flows through the Morganza Control Structure.
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Estimated flood-inundation maps for Cowskin Creek in western Wichita, Kansas. US Geological Survey, 2003. http://dx.doi.org/10.3133/wri034074.

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Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling--A pilot study for the Snoqualmie River, Washington. US Geological Survey, 2002. http://dx.doi.org/10.3133/wri024251.

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