Relevant bibliographies by topics / Flooded area

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Flooded area'

Author: Grafiati
Published: 28 June 2021
Last updated: 12 February 2022

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Journal articles on the topic "Flooded area"

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Gonuguntla, Hemalatha, Khudoyberdi Abdivaitov, Mahalingam Bose, and Muzaffar Rakhmataliev. "A comparison of Sentinel-1 and Sentinel-2 in assessing flooded area and built-up land use: A case study of selected coastal districts in Andra Pradesh, India." InterCarto. InterGIS 26, no. 2 (2020): 421–35. http://dx.doi.org/10.35595/2414-9179-2020-2-26-421-435.

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In tropical climatic conditions, floods occur during heavy rainfall. Floods during this thick cloud cover partially stops the optical imagery to pass through the atmosphere and record the surface reflectance. Another kind of satellite imagery that is available is microwave remote sensing data that can pass through the clouds. However, the exploration of this microwave remote sensing began recently for earth observation applications. So, the algorithms and methods available for exploiting advantages from microwave data is still under research. The current part of the work is to explore the methods available to differentiate between the microwave data (Sentinel-1) and Optical imagery (Sentinel-2) in flooded and built-up area estimation. The ultimate aim is to conclude with most suitable datasets and fast computing methods in estimating the built-up area and flooded area during the emergency disaster time. Two case studies taken up for the study are August 2019 East Godavari floods and October 2019 Titli cyclone. So, the adopted method to estimate the flooded areas and built-up areas from the Sentinel-1A and Sentinel-2B was RGB clustering (Red, Green and Blue clustering) using the derived RGB colour combinations in snap 7.0 software. The datasets were classified into built-up, flooded area and vegetation areas using Random Forest supervised classification, a machine learning technique Validation of estimated built-up and flooded areas estimated from Sentinel-1A and Sentinel-2B was done using the random pixel distribution technique. Since the de-centralisation of estimated flooded areas and built-up area helps in fast distribution of the response forces to the affected area, estimation of built-up and flooded area was also taken up for the sub-districts of East Godavari district, India. Finally, the study estimates the damaged built-up and vegetation due to August 2019 East Godavari floods from Sentinel-1A and Sentinel-2B. Flooded area due to ‘Titli’ cyclone 2018 was estimated in East Godavari, Visakhapatnam and Vijianagaram districts of Andhra Pradesh state.
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Hutanu, Elena, Andrei Urzica, and Andrei Enea. "Evaluation of Damages Caused by Floods, Based on Satellite Images. Case Study: Jijia River, Slobozia-Dângeni Sector, July 2010." Present Environment and Sustainable Development 12, no. 2 (October 1, 2018): 135–46. http://dx.doi.org/10.2478/pesd-2018-0035.

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Abstract This research aimed to identify flooded areas following the July 2010 floods, using Landsat 7-ETM + satellite imagery and a more efficient way to extract water bodies. By computing several indices, such as MNDWI, NDWI, NDVI, AWI, WRI and NDMI, it was concluded that, in the present case, the NDWI index was most effective, the data obtained having a very good accuracy. The studied area was the Jijia River Slobozia-Dângeni sector, the Landsat 7-ETM + images were taken on July 3, 2010. The flow rate at this time at the Dângeni station was 473 cm, decreasing compared to July 1, 2010 when the share reached 579 cm. The flooded area obtained is 15.80 km2, the maximum extension of the flood area on July 3, 2010 being approx. 1 km on the localities of Durneşti and Sapoveni. The study found 143 houses in 19 localities flooded. Of the total flooded areas, the largest share is held by arable land (44.58%), with a surface area of 7.04 km2.
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Jamali, A., and A. Abdul Rahman. "FLOOD MAPPING USING SYNTHETIC APERTURE RADAR: A CASE STUDY OF RAMSAR FLASH FLOOD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 291–95. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-291-2019.

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Abstract. Disasters including flash floods, earthquakes, and landslides have huge economic and social losses besides their impact on environmental disruption. Studying environmental changes due to climate change can improve public and expert sector’s awareness and response towards future disastrous events. Synthetic Aperture Radar (SAR) data and Interferometric Synthetic Aperture Radar (InSAR) technologies are valuable tools for flood modeling and surface deformation modeling. This paper proposes an efficient approach to detect the flooded area changes using Sentinel-1A over Ramsar flood on 5th October 2018. For detection of the flooded area due to flash flood SARPROZ in MATLAB programming language is used and discussed. Flooded areas in Ramsar are detected based on the change detection modeling using normalized difference values of amplitude belonging to the master image (on 28th September 2018) and the slave image (on 10th October 2018).
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Moya, Luis, Yukio Endo, Genki Okada, Shunichi Koshimura, and Erick Mas. "Drawback in the Change Detection Approach: False Detection during the 2018 Western Japan Floods." Remote Sensing 11, no. 19 (October 5, 2019): 2320. http://dx.doi.org/10.3390/rs11192320.

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Synthetic aperture radar (SAR) images have been used to map flooded areas with great success. Flooded areas are often identified by detecting changes between a pair of images recorded before and after a certain flood. During the 2018 Western Japan Floods, the change detection method generated significant misclassifications for agricultural targets. To evaluate whether such a situation could be repeated in future events, this paper examines and identifies the causes of the misclassifications. We concluded that the errors occurred because of the following. (i) The use of only a single pair of SAR images from before and after the floods. (ii) The unawareness of the dynamics of the backscattering intensity through time in agricultural areas. (iii) The effect of the wavelength on agricultural targets. Furthermore, it is highly probable that such conditions might occur in future events. Our conclusions are supported by a field survey of 35 paddy fields located within the misclassified area and the analysis of Sentinel-1 time series data. In addition, in this paper, we propose a new parameter, which we named “conditional coherence”, that can be of help to overcome the referred issue. The new parameter is based on the physical mechanism of the backscattering on flooded and non-flooded agricultural targets. The performance of the conditional coherence as an input of discriminant functions to identify flooded and non-flooded agricultural targets is reported as well.
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Lee, Sunmin, Saro Lee, Moung-Jin Lee, and Hyung-Sup Jung. "Spatial Assessment of Urban Flood Susceptibility Using Data Mining and Geographic Information System (GIS) Tools." Sustainability 10, no. 3 (February 28, 2018): 648. http://dx.doi.org/10.3390/su10030648.

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Using geographic information system (GIS) tools and data-mining models, this study analyzed the relationships between flood areas and correlated hydrological factors to map the regional flood susceptibility of the Seoul metropolitan area in South Korea. We created a spatial database of data describing factors including topography, geology, soil, and land use. We used 2010 flood data for training and 2011 data for model validation. Frequency ratio (FR) and logistic regression (LR) models were applied to 2010 flood data to determine the relationships between the flooded area and its causal factors and to derive flood-susceptibility maps, which were substantiated using the area flooded in 2011 (not used for training). As a result of the accuracy validation, FR and LR model results were shown to have 79.61% and 79.05% accuracy, respectively. In terms of sustainability, floods affect water health as well as causing economic and social damage. These maps will provide useful information to decision makers for the implementation of flood-mitigation policies in priority areas in urban sustainable development and for flood prevention and management. In addition to this study, further analysis including data on economic and social activities, proximity to nature, and data on population and building density, will make it possible to improve sustainability.
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Tabacaru, Alexandru, Livia Nistor-Lopatenco, Iurie Bejan, and Alexandru Pantaz. "THE USE OF GEOGRAPHIC INFORMATION SYSTEM FOR FLOOD PREDICTIONS." Journal of Engineering Science XXVIII, no. 2 (June 2021): 112–19. http://dx.doi.org/10.52326/jes.utm.2021.28(2).09.

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The article examines the issue of using geographic information systems (GIS) and WEBGIS technologies to predict areas likely to be flooded. Probabilistic flood hazard maps (0.5%, 0.1% and 1% flood risks) were used, obtained from a model installation in an area subject to flood risk, in this case, the municipality of Ungheni in the Republic Moldova, which has been flooded in the past. The application of GIS technologies is necessary to prevent floods affecting households, infrastructure and to minimize its effects. For this purpose, were analyzed the previous floods that occurred in the region. Also were applied and overlaid thematic digital maps such as Land Use, river network, DTM, Delineation Methodology of water bodies which represents the transposition of the EU Water Framework Directive 2000/60/EC and at the end were uploaded on an ESRI Web GIS platform http://www.dbga.md/siga.html. The Coordinate system used here was WGS-84.
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Wakabayashi, H., K. Motohashi, T. Kitagami, B. Tjahjono, S. Dewayani, D. Hidayat, and C. Hongo. "FLOODED AREA EXTRACTION OF RICE PADDY FIELD IN INDONESIA USING SENTINEL-1 SAR DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W7 (March 1, 2019): 73–76. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w7-73-2019.

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<p><strong>Abstract.</strong> The objective of this study is to detect flooded area in rice paddy fields in Indonesia by using remotely sensed data. We used synthetic aperture radar (SAR) data for this purpose, because it is capable of getting high-resolution data in almost all-weather conditions. The paper gives a result of detecting flooded area occurred in our research sites located close to Bandung area, Tegalluar in Bojongsoang district, from the end of February to the beginning of March in 2018. The C-band SAR data acquired by Sentinel-1 were used for this analysis. We derived the gamma-naught threshold for dividing flood and non-flood areas by using a linear discriminant analysis. Discriminant accuracy reached 98% using VV polarization. By using the gamma-naught threshold and rice paddy field mask (GIS data), the rice paddy flooded area could be extracted with good accuracy.</p>
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Das, Indira, and Sujit Deka. "Impact of Flood on the Socio-Economic Conditions in the Southern Part of Kamrup District, Assam." Space and Culture, India 8, no. 4 (March 26, 2021): 106–19. http://dx.doi.org/10.20896/saci.v8i4.665.

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Flood causes extreme loss of infrastructure and human life; besides it also propagates the condition of poverty and unceasing marginalisation of the affected region from development. This study elucidates how flood contributes to the socio-economic conditions of the rural people living in the Southern part of the Kamrup district of Assam. It focusses on flood hazard zoning and flood vulnerability analyses that are delineated based on the data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) Near Real-Time (NRT) Global Flood Mapping Product Portal. Flood hazard zoning of the study area is done using Multi-Criteria evaluation method based on rainfall distribution, slope, drainage density, population density, soil type, elevation, flow accumulation, roads, and embankment utilising Cartosat DEM and IRS P6 LISS III data. The zones are identified as actively flooded, chronically flooded, and occasionally flooded zones, which affects 39.4 per cent, 12.9 per cent and 26.1 per cent population respectively covering 1189.2 sq. km, that is, 56.5 per cent area of the study region. The flood vulnerability assessment of the study area is done at village and ward level adapting geospatial assessment in a GIS environment. The findings of the research are generated through observations, key informant interviews with the rural population surveying 1420 number of households. It reveals that 200 villages are affected by floods every year that constitutes 76.6 per cent households and 78.4 per cent of the population of the study area.
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Giordan, Daniele, Davide Notti, Alfredo Villa, Francesco Zucca, Fabiana Calò, Antonio Pepe, Furio Dutto, Paolo Pari, Marco Baldo, and Paolo Allasia. "Low cost, multiscale and multi-sensor application for flooded area mapping." Natural Hazards and Earth System Sciences 18, no. 5 (May 30, 2018): 1493–516. http://dx.doi.org/10.5194/nhess-18-1493-2018.

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Abstract. Flood mapping and estimation of the maximum water depth are essential elements for the first damage evaluation, civil protection intervention planning and detection of areas where remediation is needed. In this work, we present and discuss a methodology for mapping and quantifying flood severity over floodplains. The proposed methodology considers a multiscale and multi-sensor approach using free or low-cost data and sensors. We applied this method to the November 2016 Piedmont (northwestern Italy) flood. We first mapped the flooded areas at the basin scale using free satellite data from low- to medium-high-resolution from both the SAR (Sentinel-1, COSMO-Skymed) and multispectral sensors (MODIS, Sentinel-2). Using very- and ultra-high-resolution images from the low-cost aerial platform and remotely piloted aerial system, we refined the flooded zone and detected the most damaged sector. The presented method considers both urbanised and non-urbanised areas. Nadiral images have several limitations, in particular in urbanised areas, where the use of terrestrial images solved this limitation. Very- and ultra-high-resolution images were processed with structure from motion (SfM) for the realisation of 3-D models. These data, combined with an available digital terrain model, allowed us to obtain maps of the flooded area, maximum high water area and damaged infrastructures.
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Lacava, Teodosio, Emanuele Ciancia, Mariapia Faruolo, Nicola Pergola, Valeria Satriano, and Valerio Tramutoli. "On the Potential of RST-FLOOD on Visible Infrared Imaging Radiometer Suite Data for Flooded Areas Detection." Remote Sensing 11, no. 5 (March 12, 2019): 598. http://dx.doi.org/10.3390/rs11050598.

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Timely and continuous information about flood spatiotemporal evolution are fundamental to ensure an effective implementation of the relief and rescue operations in case of inundation events. In this framework, satellite remote sensing may provide a valuable contribution provided that robust data analysis methods are implemented and suitable data, in terms of spatial, spectral and temporal resolutions, are employed. In this paper, the Robust Satellite Techniques (RST) approach, a satellite-based differential approach, already applied at detecting flooded areas (and therefore christened RST-FLOOD) with good results on different polar orbiting optical sensors (i.e., Advanced Very High Resolution Radiometer – AVHRR – and Moderate Resolution Imaging Spectroradiometer – MODIS), has been fully implemented on time series of Suomi National Polar-orbiting Partnership (Suomi-NPP-SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) data. The flooding event affecting the Metaponto Plain in Basilicata and Puglia regions (southern Italy) in December 2013 was selected as a case study and investigated by analysing five years (only December month) of VIIRS Imagery bands at 375 m spatial resolution. The achieved results clearly indicate the potential of the proposed approach, especially when compared with a satellite-based high resolution map of flooded area, as well as with the official flood hazard map of the area and the outputs of a recent published VIIRS-based method. Both flood extent and dynamics have been recognized with good reliability during the investigated period, with only a residual 11.5% of possible false positives over an inundated area extent of about 73 km2. In addition, a flooded area of about 18 km2 was found outside the hazard map, suggesting it requires updating to better manage flood risk and prevent future damages. Finally, the achieved results indicate that medium-resolution optical data, if analysed with robust methodologies like RST-FLOOD, can be suitable for detecting and monitoring floods also in case of small hydrological basins.
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Dissertations / Theses on the topic "Flooded area"

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Sizemore, Grant. "Foraging quality of flooded agricultural fields within the Everglades Agricultural Area for wading birds (Ciconiiformes)." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0041288.

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Le, Bihan Guillaume. "Modèles hydrologiques régionaux pour la prévision distribuée des crues rapides : vers une estimation des impacts et des dommages potentiels." Thesis, Ecole centrale de Nantes, 2016. http://www.theses.fr/2016ECDN0011/document.

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Avec le développement des mesures de pluie à hautes résolutions spatiales et temporelles , l’utilisation de modèles hydrométéorologiques distribués est désormais envisagée pour anticiper les phénomènes de crue soudaine sur les petits bassins versants non jaugés. Toutefois les approches développées jusqu’ici se sont généralement concentrées sur l’évaluation des phénomènes hydrologiques, laissant de côté la question de leurs impacts, qui dépendent fortement de la configuration du terrain et des enjeux qui y sont présents. Ce travail de thèse a permis de développer et tester une méthode d’évaluation directe de ces impacts à partir des sorties d’un modèle pluie-débit sur un territoire limité. La démarche mise en oeuvre repose sur un travail préalable d’analyse du territoire permettant d’une part d’évaluer les emprises submergées dans une large gamme de débits par une approche hydraulique simplifiée, puis de construire des relations univoques débit-enjeux pour chaque bief de cours d’eau. Ces relations permettent de produire des cartes d‘enjeux potentiellement touchés ,pouvant être actualisées régulièrement en cours d’événement. Deux études des cas ont permis de réaliser une première évaluation des performances de cette approche, du point de vue de la qualité d’estimation des emprises inondées, et du point de vue des impacts estimés à l’échelle d’un événement grâce à la comparaison avec des données d’assurance. Finalement, ces travaux ont permis de confirmer le potentiel de la méthode, dont les performances semblent en adéquation avec l’objectif visé : obtenir rapidement une première hiérarchisation des impacts occasionnés par les crues soudaines à l’échelle d’un grand territoire
With the development of rainfall measurements at highspatial and temporal resolutions, the use of distributed hydrometeorological models is now considered to forecast flash floods on small and ungauged catchment areas. Current flashflood monitoring systems generally enable a real-time assessment of the potential flash-flood magnitudes. However they do not assess the potential impacts of flash-flood, which highly depends on the catchment areas configuration and on the importance of potentially affected assets. The purpose of this PhD research work was to develop and test a method which can be used to directly estimate the impacts of flash-floods, based on the outputs of a distributed rainfall-run off model. The approach is based on a prior analysis of the study area in order to assess the potential impact of different discharge levels on the flooded areas and to identify from geography database the associated buildings at risk. The aim is to build impact models on specific river reaches, using discharge versus impact graphs. The use of these impact models combined with a rainfall-run off model, has enabled us to compute maps of potential impacts, based on real time assessment of flood events updated every 15 minutes. This method was evaluated on two case studies looking at the accuracy and relevance of estimated impacts for each event – and comparing the outcomes to insurance losses data. This research work has helped to confirm the efficiency of this new combined method, which may become a useful tool to forecast large-scale effects of local impacts of flash-floods
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Deshmukh, Chandrashekhar. "Greenhouse gases (CH4, CO2 and N2O) emissions from a newly flooded hydroelectric reservoir in subtropical South Asia : case of Nam Theun 2 reservoir, Lao PDR." Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2014/.

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L'augmentation de l'intérêt concernant la part des réservoirs hydroélectrique dans l'augmentation de la concentration atmosphérique des Gaz à Effet de Serre (GES) a amené à mesurer les émissions nettes d'un réservoir hydroélectrique, Nam Theun 2 (NT2) dans la région subtropicale de la République Démocratique Populaire du Laos, Asie. Ce travail est la premiêre évaluation de l'empreinte carbone des GES (c'est à dire : les émissions après ennoiement moins les émissions avant ennoiement) en relation avec la création d'un réservoir hydroélectrique. C'est le résultat d'une étude à grande échelle qui s'est déroulée pendant cinq ans (2008-2012). Nous avons tout d'abord quantifié les sources et les puits majeurs des GES des composants terrestres et aquatiques du paysage avant ennoiement (Mai 2008). Ensuite, à partir d'Avril 2009, cette étude similaire a été réalisée au niveau du réservoir, sa zone de marnage et son aval. C'est en Octobre 2009 que le réservoir hydroélectrique NT2 a, pour la première fois, atteint son niveau maximal et c'est huit mois plus tard, en Mars 2010, que les turbines ont fonctionnées pour la première fois. En se basant sur un suivi bimensuel et sur cinq missions de terrain couvrant toutes les saisons, les émissions des principaux GES (c'est à dire l'oxyde nitreux (N2O), le méthane (CH4) et le dioxyde de carbone (CO2)) ont été mesurées d'Avril 2009 à Décembre 2011. Les émissions ont été déterminées à la surface du réservoir (flux diffusifs et ébullitifs) ainsi que dans les sols de la zone de marnage, qui peut atteindre 370 km2 pour une surface totale de réservoir de 450 km2
The identification and accurate quantification of sinks or sources of GHG has become a key challenge for scientists and policy makers groups working on climate change or global warming. The creation of a hydro-reservoir while damming a river for power generation converts the terrestrial ecosystems into aquatic ecosystem and subsequently decomposition of flooded terrestrial soil organic matter stimulates GHG productions and thereby emissions to atmosphere. Tropical or subtropical hydroelectric reservoirs are more significant sources of GHG than boreal or temperate one. The number of hydroelectric reservoirs continues to increase at fast pace specially in the tropical or sub-tropical regions which still hold significant amount of hydropower resources to be exploited. In this context, we study the subtropical hydroelectric Nam Theun 2 (NT2) Reservoir, a complex-structuraldesigned, created on the Nam Theun River in Laos PDR. The main aims of our study are to: (1) Study the GHG dynamics (CH4, N2O and CO2) in the reservoir and in the whole area of influence (downstream and drawdown areas), (2) explore the effectiveness of different methodology (eddy covariance, floating chamber, submerged funnel and thin boundary layer) to assess of GHG emission from a hydroelectric reservoir, (3) determine the environmental controls on the different emission terms; (4) attempt to determine the first net GHG budget of a subtropical hydroelectric reservoir
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Deshmukh, Chandrashekhar. "Greenhouse gas emissions (CH4, CO2 and N2O) from a newly flooded hydroelectric reservoir in subtropical South Asia : The case of Nam Theun 2 Reservoir, Lao PDR." Phd thesis, Université Paul Sabatier - Toulouse III, 2013. http://tel.archives-ouvertes.fr/tel-00862380.

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L'augmentation de l'intérêt concernant la part des réservoirs hydroélectrique dans l'augmentation de la concentration atmosphérique des Gaz à Effet de Serre (GES) a amené à mesurer les émissions nettes d'un réservoir hydroélectrique, Nam Theun 2 (NT2) dans la région subtropicale de la République Démocratique Populaire du Laos, Asie. Ce travail est la première évaluation de l'empreinte carbone des GES (c'est à dire : les émissions après ennoiement moins les émissions avant ennoiement) en relation avec la création d'un réservoir hydroélectrique. C'est le résultat d'une étude à grande échelle qui s'est déroulée pendant cinq ans (2008-2012). Nous avons tout d'abord quantifié les sources et les puits majeurs des GES des composants terrestres et aquatiques du paysage avant ennoiement (Mai 2008). Ensuite, à partir d'Avril 2009, cette étude similaire a été réalisée au niveau du réservoir, sa zone de marnage et son aval. C'est en Octobre 2009 que le réservoir hydroélectrique NT2 a, pour la première fois, atteint son niveau maximal et c'est huit mois plus tard, en Mars 2010, que les turbines ont fonctionnées pour la première fois. En se basant sur un suivi bimensuel et sur cinq missions de terrain couvrant toutes les saisons, les émissions des principaux GES (c'est à dire l'oxyde nitreux (N2O), le méthane (CH4) et le dioxyde de carbone (CO2)) ont été mesurées d'Avril 2009 à Décembre 2011. Les émissions ont été déterminées à la surface du réservoir (flux diffusifs et ébullitifs) ainsi que dans les sols de la zone de marnage, qui peut atteindre 370 km2 pour une surface totale de réservoir de 450 km2.
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Pohl, Reinhard. "Flood records in urban areas." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-160702.

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Even in urban areas reliable and precise information about possible floods and related water levels as well as inundation areas are needed to minimize potential damages. One main requirement for this issue is to correct the stage-discharge relations which are sometimes not available. This paper reconsiders the use of historical hydrologic data in urban areas which have fundamentally changed even concerning the river beds, cross sections and floodplain areas. By means of an historical approach the flood statistics has been updated with surprising results.
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Chawawa, Nancy Elsie. "Why do smallholder farmers insist on living in flood prone areas? : understanding self-perceived vulnerability and dynamics of local adaptation in Malawi." Thesis, University of Edinburgh, 2018. http://hdl.handle.net/1842/31421.

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The Government of Malawi, through delegates from the Department of Disaster Management Affairs, has on several occasions advised smallholder farmers who live in flood prone areas to relocate to upland areas that are safe from floods. Smallholder farmers have refused to do so and continue to live in the flood prone areas despite experiencing on-going flooding. Smallholder farmers living in flood prone areas in Malawi insist that flash floods bring fertile soils from upland areas that enhance crop production in the flood prone areas. These fertile soils allow smallholder farmers to grow a variety of crops, fruits and vegetables throughout the year, some of which they sell. Within this context, my research critically explores how smallholder farmers perceive their vulnerability to floods and seeks to understand the factors and processes that motivate them to live in the flood prone areas. It also examines the realities and dynamics of local adaptation in the flood prone areas in Malawi through opportunities, challenges, barriers and limitations. The research uses 57 in-depth interviews, a household survey involving 227 households, participant observations and 12 focus group discussions with smallholder farmers. Findings show that firstly, smallholder farmers are not ready to abandon their land and relocate upland because floods are part of their lives and livelihood strategies. Secondly, that power dynamics at household and community levels based on gender roles and culture need to be understood and accounted for in local adaptation strategies in order to effectively enhance local adaptive capacity. Thirdly, that social networks and interdependence between the smallholder farmers living in flood prone areas and those living in upland areas play a significant role in the adoption of local adaptation strategies and adaptation to floods and droughts through temporary migration. This thesis reveals that the perception and extent of vulnerability to floods is dynamic and differentiated based on several factors. The thesis also reveals that local adaption is a complex process such that in some cases, the realities of power dynamics at both the household and community level affects local adaptive capacity to floods. Transformational adaptation that incorporates specific and contextual adaptation strategies is therefore recommended as one of the best approaches towards achieving successful adaptation to climate variability and resilience.
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Fintling, Carolina. "Flood Risk Perception in Tanzania : A Case of Flood Affected Arean in Dar es Salaam." Thesis, Stockholm University, Department of Human Geography, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1387.

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The main objective of this study is to understand and asses flood risk perception among people living in Msimbazi Valley in Das es Salaam, Tanzania. Many of the people I have interviewed are experiencing flooding every year but it is rarely considered disastrous. Looked at individually they may not be disasters but cumulatively they may be. The rapid urbanisation, in this part of the world, forces people to live on hazardous but central land because of the livelihood opportunities available there. The government and the local communities are well aware of the risk of floods in the area and are considered as a serious threat to the families. People are still living in these areas because they find the benefits big enough to make up the risks.

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Pung, H. K. "Flood routing techniques for fibre optic local area networks with arbitrartopology." Thesis, University of Kent, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.332715.

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Cheng, Xiaotao. "Urban flood prediction and its risk analysis in the coastal area in China." 京都大学 (Kyoto University), 2003. http://hdl.handle.net/2433/148886.

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Anderson, Michelle Louise. "The edge effect lateral habitat ecology of an alluvial river flood plain /." Diss., [Missoula, Mont.] : The University of Montana, 2009. http://etd.lib.umt.edu/theses/available/etd-10012008-134442/.

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Books on the topic "Flooded area"

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Varnell, Curtis J. Feasibility of obtaining drinking water from the abandoned, flooded, underground coal mines in the area of Greenwood, Arkansas. Fayetteville, AR: University of Arkansas, 2006.

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Hjalmarson, H. W. Flood hazards of distributary-flow areas in southwestern Arizona. Tucson, Ariz: U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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U.S. National Park Service. Lake Chelan National Recreation Area: Land protection plan. Sedro Woolley, WA: National Park Service, U.S. Dept. of the Interior, Lake Chelan National Recreation Area, 2012.

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Hjalmarson, H. W. Potential flood hazards and hydraulic characteristics of distributary-flow areas in Maricopa County, Arizona. Tucson, Ariz: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Hjalmarson, H. W. Potential flood hazards and hydraulic characteristics of distributary-flow areas in Maricopa County, Arizona. Tucson, Ariz: U.S. Dept. of the Interior, U.S. Geological Survey, 1994.

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Blodgett, J. C. Flood of January 1982 in the San Francisco Bay area, California. Sacramento, Calif: Dept. of the Interior, U.S. Geological Survey, 1989.

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Blodgett, J. C. Flood of January 1982 in the San Francisco Bay area, California. Sacramento, Calif: Dept. of the Interior, U.S. Geological Survey, 1989.

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Blodgett, J. C. Flood of January 1982 in the San Francisco Bay area, California. Sacramento, Calif: Dept. of the Interior, U.S. Geological Survey, 1989.

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U.S. National Park Service. Lake Chelan National Recreation Area: Stehekin River corridor implementation plan and final environmental impact statement. Denver, Colo.]: U.S. Dept. of the Interior, National Park Service, 2012.

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Yadav, R. P. Floods in eastern U.P.: Human adjustment and related area development strategy. New Delhi: Radha Publications, 1999.

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Book chapters on the topic "Flooded area"

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Lacava, Teodosio, Luca Brocca, Irina Coviello, Mariapia Faruolo, Nicola Pergola, and Valerio Tramutoli. "Integration of Optical and Passive Microwave Satellite Data for Flooded Area Detection and Monitoring." In Engineering Geology for Society and Territory - Volume 3, 631–35. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09054-2_126.

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Pask, Nigel. "Washland Management in the Ouse Washes Conservation Area." In Floods and Flood Management, 69–89. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-1630-5_5.

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Christophe, Esposito, Jean-Louis Ballais, and Chave Sylvain. "Comparison Between Flooded Areas and Flood-Risk Areas. Case of Var Department (France)." In Engineering Geology for Society and Territory - Volume 5, 793–96. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09048-1_154.

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Uddin, Kabir, Mir A. Matin, and Rajesh Bahadur Thapa. "Rapid Flood Mapping Using Multi-temporal SAR Images: An Example from Bangladesh." In Earth Observation Science and Applications for Risk Reduction and Enhanced Resilience in Hindu Kush Himalaya Region, 201–10. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-73569-2_10.

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AbstractIn the HKH region, large areas in Afghanistan, Bangladesh, China, India, Myanmar, Nepal, and Pakistan get inundated by floodwater during every rainy season. Among them, Bangladesh has been experiencing record-high floods where four types prevail: flash flood, local rainfall flood, monsoon river flood, and storm-surge flood; and these occur almost every year due to Bangladesh’s unique geographical setting as the most downstream country in the HKH region.
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Bignami, Daniele Fabrizio, Renzo Rosso, and Umberto Sanfilippo. "Flood Proofing Methods." In Flood Proofing in Urban Areas, 69–108. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05934-7_7.

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Owusu, Kwadwo, and Peter Bilson Obour. "Urban Flooding, Adaptation Strategies, and Resilience: Case Study of Accra, Ghana." In African Handbook of Climate Change Adaptation, 2387–403. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_249.

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AbstractDespite massive flood controlling investments, perennial flooding continues to be a major challenge in the Greater Accra Metropolitan Assembly in Ghana. Previous studies have mostly considered the vulnerability of Accra to flooding induced by urbanization and climate change. This chapter examined the impacts of and adaptation strategies to flooding in two flood-prone residential areas in Accra. A survey was conducted among 320 household heads to ascertain local impacts of floods and community adaptation strategies. To obtain a broader picture of government interventions and challenges, key stakeholders such as personnel from ministries, departments, and agencies who are involved in city planning, and private urban planning consultants were interviewed. The study found that a notable driver of floods in Accra is blocked waterways, and flawed and ad hoc engineering works. About three-quarters of the households interviewed have suffered flood-related losses over the past decade such as housing damage, income, and even a death of a relative. Key flood control interventions included dredging prior to start of rains and sporadic demolition of unauthorized buildings on or near waterways to allow free flow of water. However, these interventions only seem to be ephemeral due to the rapid rate of littering and re-siltation of the waterways after few rain events. The study highlights the need for more pragmatic and robust engineering solutions to build resilience of Accra to floods.
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Ganoulis, Jacques. "Flood retention basins in the Mediterranean urban areas." In Coping with Floods, 759–65. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1098-3_47.

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Bignami, Daniele Fabrizio, Renzo Rosso, and Umberto Sanfilippo. "Flood Impact on Buildings." In Flood Proofing in Urban Areas, 11–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05934-7_2.

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Yan, Kun, Giuliano Di Baldassarre, and Florian Pappenberger. "Flood Hazard Mapping in Data-Scarce Areas." In Global Flood Hazard, 79–86. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119217886.ch5.

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Bignami, Daniele Fabrizio, Renzo Rosso, and Umberto Sanfilippo. "Introduction." In Flood Proofing in Urban Areas, 1–9. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05934-7_1.

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Conference papers on the topic "Flooded area"

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Sumalan, A., D. Popescu, and L. Ichim. "Flooded area detection using UAV images." In 2016 24th Telecommunications Forum (TELFOR). IEEE, 2016. http://dx.doi.org/10.1109/telfor.2016.7818798.

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Raj, Jeberson Retna, Immanuael Charless, Mohamed Ayman Latheef, and Senduru Srinivasulu. "Identifying the Flooded Area Using Deep Learning Model." In 2021 2nd International Conference on Intelligent Engineering and Management (ICIEM). IEEE, 2021. http://dx.doi.org/10.1109/iciem51511.2021.9445356.

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Lu, Xin, Jieqoing Wang, Zhenghuan Wang, and Hong Sun. "Flooded area detection using multi-temporal TerraSAR-X data." In 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar (APSAR). IEEE, 2009. http://dx.doi.org/10.1109/apsar.2009.5374134.

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Salvia, M., F. Grings, C. Bruscantini, V. Barraza, P. Perna, P. Ferrazzoli, and H. Karszenbaum. "Satellite estimation of flooded area and river water level dynamics." In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947453.

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Maggi, Marta, Pietro A. Brivio, Roberto Colombo, and Roberto Tomasoni. "Flooded area estimation using radar images and digital elevation model." In Remote Sensing, edited by Giovanna Cecchi and Eugenio Zilioli. SPIE, 1998. http://dx.doi.org/10.1117/12.332733.

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Popescu, Dan, Loretta Ichim, and Florin Stoican. "Flooded Area Segmentation from UAV Images Based on Generative Adversarial Networks." In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV). IEEE, 2018. http://dx.doi.org/10.1109/icarcv.2018.8581341.

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Sun Yonghua, Li Xiaojuan, Gong Huili, Zhao Wenji, and Gong Zhaoning. "A study on optical and SAR data fusion for extracting flooded area." In 2007 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2007. http://dx.doi.org/10.1109/igarss.2007.4423497.

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Nakasu, Tadashi. "Social Vulnerability Changes And Sustainable Development In The Flooded Industrial Complex Area." In International Conference on Humanities. European Publisher, 2020. http://dx.doi.org/10.15405/epsbs.2020.10.02.23.

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Xue, Zhihang, Yan Chen, Lingjun Zeng, Lei He, Shiyu Luo, and Ling Tong. "Inversion model for the semi-flooded area based on radar backscatter measurements." In IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016. http://dx.doi.org/10.1109/igarss.2016.7729799.

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Rahnemoonfar, Maryam, Robin Murphy, Marina Vicens Miquel, Dugan Dobbs, and Ashton Adams. "Flooded Area Detection from Uav Images Based on Densely Connected Recurrent Neural Networks." In IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2018. http://dx.doi.org/10.1109/igarss.2018.8517946.

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Reports on the topic "Flooded area"

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Schattman, Rachel. Farming the floodplain: New England river governance in a changing climate (Hand-outs). USDA Northeast Climate Hub, November 2017. http://dx.doi.org/10.32747/2017.6956534.ch.

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You are worried about flood impacts from the river that borders your property. While you have considered building a levee and placing stones along the bank to protect you land and house from erosion, you do not have the equipment or expertise to do so. Additionally, you have seen water velocity in the river increase because the farmer upstream has channeled the river. You blame the farmer for putting your land and house at greater flood risk. You think that upstream land should be allowed to flood to slow water velocity and absorb floodwaters; this would protect you and your neighbors from future floods.
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Helaire, Lumas. Flood Dynamics in the Portland Metropolitan Area, Past, Present, and Future. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7227.

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NSTec Environmental Management. Flood Assessment Area 3 Radioactive Waste Management Site, Nevada Test Site, Nye County, Nevada. Office of Scientific and Technical Information (OSTI), July 2007. http://dx.doi.org/10.2172/917993.

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Stockstill, Richard L. Truckee River Flood-Control Project, Truckee Meadows (Reno-Sparks Metropolitan Area), Nevada; Hydraulic Model Investigation. Fort Belvoir, VA: Defense Technical Information Center, September 1992. http://dx.doi.org/10.21236/ada259038.

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Marion, D. A. Predicted high-water elevations for selected flood events at the Albert Pike Recreation Area, Ouachita National Forest. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2012. http://dx.doi.org/10.2737/srs-gtr-164.

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Marion, D. A. Predicted high-water elevations for selected flood events at the Albert Pike Recreation Area, Ouachita National Forest. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2012. http://dx.doi.org/10.2737/srs-gtr-164.

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Chen, K. F. Flood Hazard Recurrence Frequencies for C-, F-, E-, S-, H-, Y-, and Z-Areas. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/14885.

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Research Institute (IFPRI), International Food Policy. Can women’s empowerment increase animal source food consumption in flood prone areas of Bangladesh? Washington, DC: International Food Policy Research Institute, 2018. http://dx.doi.org/10.2499/1046080804.

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ARMY ENGINEER DISTRICT OMAHA NE. Non-Structural Flood Damage Reduction Within the Corps of Engineers: What Districts Are Doing. Fort Belvoir, VA: Defense Technical Information Center, October 2001. http://dx.doi.org/10.21236/ada629409.

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Chen, K. F. Flood Hazard Recurrence Frequencies for A-, K- and L-Areas, and Revised Frequencies for C-, F-, E-, S-, H-, Y- and Z-Areas. Office of Scientific and Technical Information (OSTI), August 2000. http://dx.doi.org/10.2172/760273.

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