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Termes IGN > sciences naturelles > sciences de la Terre et de l'univers > géosciences > géographie physique > hydrographie > modèle hydrographique
modèle hydrographiqueSynonyme(s)modèle hydrologique modèle hydraulique |
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Titre : Flood forecasting using machine learning methods Type de document : Monographie Auteurs : Fi-John Chang, Éditeur scientifique ; Kuolin Hsu, Éditeur scientifique ; Li-Chiu Chang, Éditeur scientifique Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 376 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03897-548-9 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] apprentissage automatique
[Termes IGN] apprentissage profond
[Termes IGN] classification par forêts d'arbres décisionnels
[Termes IGN] image à haute résolution
[Termes IGN] inondation
[Termes IGN] modèle de simulation
[Termes IGN] modèle hydrographique
[Termes IGN] optimisation (mathématiques)
[Termes IGN] prévention des risques
[Termes IGN] réseau neuronal artificiel
[Termes IGN] ruissellementRésumé : (éditeur) Nowadays, the degree and scale of flood hazards has been massively increasing as a result of the changing climate, and large-scale floods jeopardize lives and properties, causing great economic losses, in the inundation-prone areas of the world. Early flood warning systems are promising countermeasures against flood hazards and losses. A collaborative assessment according to multiple disciplines, comprising hydrology, remote sensing, and meteorology, of the magnitude and impacts of flood hazards on inundation areas significantly contributes to model the integrity and precision of flood forecasting. Methodologically oriented countermeasures against flood hazards may involve the forecasting of reservoir inflows, river flows, tropical cyclone tracks, and flooding at different lead times and/or scales. Analyses of impacts, risks, uncertainty, resilience, and scenarios coupled with policy-oriented suggestions will give information for flood hazard mitigation. Emerging advances in computing technologies coupled with big-data mining have boosted data-driven applications, among which Machine Learning technology, with its flexibility and scalability in pattern extraction, has modernized not only scientific thinking but also predictive applications. This book explores recent Machine Learning advances on flood forecast and management in a timely manner and presents interdisciplinary approaches to modelling the complexity of flood hazards-related issues, with contributions to integrative solutions from a local, regional or global perspective. Note de contenu : Preface
1- Building an intelligent hydroinformatics integration platform for regional flood inundation warning systems
2- Flood prediction using machine learning models: Literature review
3- Forward prediction of runoff data in data-scarce basins with an improved ensemble empirical mode decomposition (EEMD) model
4- Extraction of urban water bodies from high-resolution remote-sensing imagery using
deep learning
5- Data pre-analysis and ensemble of various artificial neural networks for monthly
streamflow forecasting
6- Physical hybrid neural network model to forecast typhoon floods
7- Improving the Muskingum flood routing method using a hybrid of particle swarm
optimization and bat algorithm
8- Flood hydrograph prediction using machine learning methods
9- Flood routing in river reaches using a three-parameter Muskingum model coupled with an improved bat algorithm
10- New hybrids of ANFIS with several optimization algorithms for flood susceptibility modeling
11- Building ANN-based regional multi-step-ahead flood inundation forecast models
12- Identifying the sensitivity of ensemble streamflow prediction by artificial intelligence
13- Flood forecasting based on an improved extreme learning machine model combined with the backtracking search optimization algorithm
14- Dongting Lake water level forecast and its relationship with the three gorges dam based on a long short-term memory network
15- Multi-objective parameter estimation of improved Muskingum model by wolf pack algorithm and its application in Upper Hanjiang River, China
16- Flash-flood forecasting in an Andean mountain catchment—development of a step-wise
methodology based on the random forest algorithm
17- Deep learning with a long short-term memory networks approach for rainfall-runoff
simulation
18- Flood routing model with particle filter-based data assimilation for flash flood forecasting in the micro-model of lower Yellow River, China
19- Application of artificial neural networks for accuracy enhancements of real-time flood forecasting in the Imjin BasinNuméro de notice : 25927 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : https://doi.org/10.3390/books978-3-03897-549-6 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96181
Titre : Forest hydrology and watershed Type de document : Monographie Auteurs : Fan-Rui Meng, Auteur ; Altaf Arain, Auteur ; Qiang Li, Auteur ; et al., Auteur Editeur : Bâle [Suisse] : Multidisciplinary Digital Publishing Institute MDPI Année de publication : 2019 Importance : 208 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03921-385-6 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] bassin hydrographique
[Termes IGN] Chine
[Termes IGN] forêt ripicole
[Termes IGN] forêt subalpine
[Termes IGN] hydrologie
[Termes IGN] modèle hydrographique
[Termes IGN] Picea abies
[Termes IGN] précipitation
[Termes IGN] puits de carbone
[Termes IGN] reboisement
[Vedettes matières IGN] Végétation et changement climatiqueRésumé : (éditeur) Hydrological processes in forested watersheds are influenced by environmental, physiological, and biometric factors such as precipitation, radiation, temperature, species type, leaf area, and extent and structure of forest ecosystems. Over the past two centuries, forest coverage and forest structures have been impacted globally by anthropogenic activities, for example, forest harvesting, and conversion of forested landscapes for plantations and urbanization. In addition, since the industrial revolution, climate change has resulted in profound impacts on forest ecosystems due to higher carbon dioxide (CO2) concentration or CO2 fertilization, warmer temperatures, changes in frequency and intensity of extreme weather events and natural disturbances. As a result, hydrological processes in forested watersheds have been altered by these natural and anthropogenic factors and these changes are expected to accelerate due to future changing climatic conditions. Hence, understanding how various environmental, physiological, and physical drivers interactively influence hydrological and biogeochemical processes in forest ecosystems is critical for sustainable water supply in forested watersheds. About 21% of the global population depends on water sources that originate in forested catchments where forest coverage larger than 30%. Furthermore, there are knowledge gaps in our understanding of the mechanism of hydrological and hydrochemical cycles in forested watersheds. This Special Issue addresses these gaps in our knowledge and includes twelve papers in the following three major research themes in forest watershed areas. Note de contenu : 1- Biomass carbon sequestration potential by riparian forest in the Tarim River watershed, Northwest China: Implication for the mitigation of climate change impact
2- Spatial and temporal patterns in nonstationary flood frequency across a forest watershed: Linkage with rainfall and land use types
3- Quantifying impacts of forest recovery on water yield in two large watersheds in the cold region of Northeast China
4- Evaluation of the water-storage capacity of bryophytes along an altitudinal gradient from temperate forests to the Alpine zone
5- The hydrological impact of extreme weather-induced forest disturbances in a tropical
experimental watershed in South China
6- Attribution analysis for runoff change on multiple scales in a humid subtropical basin dominated by forest, East China
7- The cumulative effects of forest disturbance and climate variability on streamflow in the Deadman River watershed
8- Two centuries-long streamflow reconstruction inferred from tree rings for the middle
reaches of the Weihe River in Central China
9- Contrasting differences in responses of streamflow regimes between reforestation and fruit tree planting in a subtropical watershed of China
10- The radial growth of schrenk spruce (Picea schrenkiana Fisch. et Mey.) records the
hydroclimatic changes in the Chu River basin over the past 175 years
11- Forest canopy can efficiently filter trace metals in deposited precipitation in a subalpine spruce plantation
12- Woody litter increases headwater stream metal export ratio in an Alpine forestNuméro de notice : 25956 Affiliation des auteurs : non IGN Thématique : FORET Nature : Monographie DOI : 10.3390/books978-3-03921-386-3 En ligne : https://doi.org/10.3390/books978-3-03921-386-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96424 The impact of rainfall distribution patterns on hydrological and hydraulic response in arid regions: case study Medina, Saudi Arabia / Mohamed Abdulrazzak in Arabian Journal of Geosciences, vol 11 n° 21 (November 2018)
[article]
Titre : The impact of rainfall distribution patterns on hydrological and hydraulic response in arid regions: case study Medina, Saudi Arabia Type de document : Article/Communication Auteurs : Mohamed Abdulrazzak, Auteur ; Amro Elfeki, Auteur ; Ahmed Samy Kamis, Auteur ; Mostafa Kassab, Auteur ; Nassir Alamri, Auteur ; Kashif Noor, Auteur ; Anis Chaabani , Auteur Année de publication : 2018 Projets : 2-Pas d'info accessible - article non ouvert / Article en page(s) : n° 679 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Arabie Saoudite
[Termes IGN] inondation
[Termes IGN] Médine
[Termes IGN] modèle hydrographique
[Termes IGN] précipitation
[Termes IGN] zone arideRésumé : (auteur) Rainfall distribution patterns (RDPs) are crucial for hydrologic design. Hydrologic modeling is based on Soil Conservation Services (SCS) type RDPs (SCS type I, IA, II, and III). SCS type II method is widely used by hydrologists in arid regions. These RDPs were designed for the USA and similar temperate regions. There is no scientific justification for using SCS type II method in arid regions. The consequences of using SCS type II have impacts on the hydrologic and hydraulic modeling studies. The current paper investigates the validity of the SCS type II and in arid regions. New temporal RDPs were applied and compared with SCS type II RDPs. The produced peak discharges, volumes, maximum inundation depths, top widths, and velocities from both approaches were analyzed. An application is made on the protection channel in Taibah and Islamic Universities campuses in Medina, Saudi Arabia. A methodology was followed which included frequency analysis, catchment modeling, hydrological modeling, and hydraulic modeling. Results indicated that there are considerable consequences on infrastructural design, and hydrologic and hydraulic parameters if inappropriate RDPs are used. The investigation confirmed that the SCS type RDPs do not reflect the actual flood features in arid regions. Numéro de notice : A2018-668 Affiliation des auteurs : LASTIG LAREG+Ext (2012-mi2018) Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1007/s12517-018-4043-z Date de publication en ligne : 08/11/2018 En ligne : http://dx.doi.org/10.1007/s12517-018-4043-z Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94265
in Arabian Journal of Geosciences > vol 11 n° 21 (November 2018) . - n° 679[article]Développement pour l’interface Qgis d’Hydra, logiciel de modélisation hydraulique / Maximilien Jaffrès (2018)
Titre : Développement pour l’interface Qgis d’Hydra, logiciel de modélisation hydraulique Type de document : Mémoire Auteurs : Maximilien Jaffrès, Auteur Editeur : Champs/Marne : Université Paris-Est Marne-la-Vallée UPEM Année de publication : 2018 Autre Editeur : Champs-sur-Marne : Ecole nationale des sciences géographiques ENSG Importance : 58 p. Format : 21 x 30 cm Note générale : Bibliographie
Rapport de fin d'étude, cycle Ingénieur 3e année, master Information Géographique : Analyse Spatiale et TélédétectionLangues : Français (fre) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] interface graphique
[Termes IGN] logiciel de modélisation
[Termes IGN] logiciel de visualisation
[Termes IGN] modèle hydrographique
[Termes IGN] module d'extension
[Termes IGN] profil en long
[Termes IGN] programmation adaptée à l'objet
[Termes IGN] Python (langage de programmation)
[Termes IGN] QGIS
[Termes IGN] Qt
[Termes IGN] visualisation de donnéesIndex. décimale : IGAST Mémoires du Master Information Géographique, Analyse Spatiale et Télédétection Résumé : (Auteur) […] J’ai réalisé mon stage de fin d’étude à Hydratec, bureau d’études spécialisé dans le domaine de l’hydraulique et membre du groupe Setec. L’objet de mon stage est d’intervenir comme développeur Python spécialisé dans les données SIG, afin de participer à la mise en place et la conception du plug-in Hydra. J’ai ainsi pu mettre en œuvre mes compétences, que ce soit en amont sur la conception du programme ou dans la réalisation des tâches de programmation. La plateforme Hydra développée par Hydratec, s’inscrit dans cette logique de prévision et de modélisation de la ressource en eau. […] Le projet Hydra est donc d’utiliser cet outil performant déjà existant et de l’intégrer dans le milieu du SIG et plus particulièrement dans Qgis qui présente par sa modularité et sa capacité à incorporer des données de tous types un intérêt certain. Au cours de mon stage, j'ai travaillé sur des concepts d’améliorations de l’interface, j’ai ainsi réalisé diverses tâches pour améliorer l’interface et le confort d’utilisation, en créant des outils d’import ou de visualisation spécifique pour Hydra. Les problématiques sont de trouver des réponses convaincantes en terme de design informatique et de rendu graphique en employant la puissance du langage python et de l’orienté objet. Note de contenu : bibliographie Numéro de notice : 22970 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Mémoire de fin d'études IT Organisme de stage : Setec Hydratec Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91421 Documents numériques
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Développement pour l’interface Qgis d’Hydra - pdf auteurAdobe Acrobat PDF Satellite remote sensing of the variability of the continental hydrology cycle in the lower Mekong basin over the last two decades / Binh Pham-Duc (2018)
Titre : Satellite remote sensing of the variability of the continental hydrology cycle in the lower Mekong basin over the last two decades Type de document : Thèse/HDR Auteurs : Binh Pham-Duc, Auteur ; Catherine Prigent, Directeur de thèse ; Filipe Aires, Directeur de thèse Editeur : Paris : Sorbonne Université Année de publication : 2018 Importance : 234 p. Format : 21 x 30 cm Note générale : bibliographie
Thèse de doctorat de Sciences de l'Environnement, Sorbonne UniversitéLangues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte hydrographique
[Termes IGN] changement climatique
[Termes IGN] classification par réseau neuronal
[Termes IGN] climat tropical
[Termes IGN] corrélation temporelle
[Termes IGN] eau de surface
[Termes IGN] image Aqua-MODIS
[Termes IGN] image Landsat-8
[Termes IGN] image Sentinel-SAR
[Termes IGN] Mekong (fleuve)
[Termes IGN] modèle hydrographique
[Termes IGN] précipitation
[Termes IGN] série temporelle
[Termes IGN] surveillance hydrologique
[Termes IGN] télédétection spatiale
[Termes IGN] variation saisonnièreIndex. décimale : THESE Thèses et HDR Résumé : (auteur) Surface water is essential for all forms of life since it is involved in almost all processes of life on Earth. Quantifying and monitoring surface water and its variations are important because of the strong connections between surface water, other hydrological components (groundwater and soil moisture, for example), and the changing climate system. Satellite remote sensing of land surface hydrology has shown great potential in studying hydrology from space at regional and global scales. In this thesis, different techniques using several types of satellite estimates have been made to study the variation of surface water, as well as other hydrological components in the lower Mekong basin (located in Vietnam and Cambodia) over the last two decades. This thesis focuses on four aspects. First, the use of visible/infrared MODIS/Terra satellite observations to monitor surface water in the lower Mekong basin is investigated. Four different classification methods are applied, and their results of surface water maps show similar seasonality and dynamics. The most suitable classification method, that is specially designed for tropical regions, is chosen to produce regular surface water maps of the region at 500 m spatial resolution, from January 2001 to present time. Compared to reference data, the MODIS-derived surface water time series show the same amplitude, and very high temporal correlation for the 2001-2007 period (> 95%). Second, the use of SAR Sentinel-1 satellite observations for the same objective is studied. Optical satellite data are replaced by SAR satellite data to benefit the ability of their microwave wavelengths to pass through clouds. Free-cloud Landsat-8 satellite imagery are set as targets to train and optimize a Neural Network (NN). Predicted surface water maps (30 m spatial resolution) are built for the studied region from January 2015 to present time, by applying a threshold (0.85) to the output of the NN. Compared to reference free-cloud Landsat-8 surface water maps, results derived from the NN show high spatial correlation (_90%), as well as true positive detection of water pixels (_90%). Predicted SAR surface water maps are also compared to floodability maps derived from topography data, and results show high consistency between the two independent maps with 98% of SAR-derived water pixels located in areas with a high probability of inundation (>60%). Third, the surface water volume variation is calculated as the product of the surface water extent and the surface water height. The two components are validated with other hydrological products, and results show good consistencies. The surface water height are linearly interpolated over inundated areas to build monthly maps at 500 m spatial resolution, then are used to calculate changes in the surface water volume. Results show high correlations when compared to variation of the total land surface water volume derived from GRACE data (95%), and variation of the in situ discharge estimates (96%). Fourth, two monthly global multi-satellite surface water products (GIEMS & SWAMPS) are compared together over the 1993-2007 period at regional and global scales. Ancillary data are used to support the analyses when available. Similar temporal dynamics of global surface water are observed when compared GIEMS and SWAMPS, but _50% of the SWAMPS inundated surfaces are located along the coast line. Over the Amazon and Orinoco basins, GIEMS and SWAMPS have very high water surface time series correlations (95% and 99%, respectively), but SWAMPS maximum water extent is just a half of what observed from GIEMS and SAR estimates. SWAMPS fails to capture surface water dynamics over the Niger basin since its surface water seasonality is out of phase with both GIEMS- and MODIS-derived water extent estimates, as well as with in situ river discharge data. Note de contenu : 1- Introduction
2- Surface water monitoring within the Mekong Delta and Cambodia using visible and Infrared MODIS satellite
observations
3- Surface water monitoring within the Mekong Delta and Cambodia using SAR Sentinel-1 satellite observations
4- Toward the analyses of the change in surface water volume within the lower Mekong Delta
5- Comparison between Global Terrestrial Surface Water datasets
6- Conclusions and perspectivesNuméro de notice : 25731 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Sciences de l'Environnement : Observatoire de Paris : 2018 Organisme de stage : Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique LERMA (Observatoire de Paris) nature-HAL : Thèse DOI : sans En ligne : https://tel.archives-ouvertes.fr/tel-02109003 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=94914 Systèmes d'information géographique / Yves Auda (2018)PermalinkPermalinkAssessment of continental hydrosphere loading using GNSS measurements / Michał Zygmunt in Reports on geodesy and geoinformatics, vol 101 (June 2016)PermalinkA systematic impact assessment of GRACE error correlation on data assimilation in hydrological models / Maike Schumacher in Journal of geodesy, vol 90 n° 6 (June 2016)PermalinkDiscordance cartographique, l'exemple de Toulouse / Pierre Clergeot in Géomètre, n° 2136 (mai 2016)PermalinkSystème multi-agent pour la modélisation des écoulements de surface sur un petit bassin versant viticole du Layon / Mahefa Mamy Rakotoarisoa in Revue internationale de géomatique, vol 24 n° 3 (septembre - novembre 2014)PermalinkContinental hydrology loading observed by VLBI measurements / David Eriksson in Journal of geodesy, vol 88 n° 7 (July 2014)PermalinkIntegrating Landsat-7 imagery with physics-based models for quantitative mapping of coastal waters near river discharges / Nima Pahlevan in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 11 (November 2012)PermalinkMulti-model validation of currents in the Chesapeake Bay region in June 2010 / P. Chu in Marine geodesy, vol 35 n° 4 (October - December 2012)PermalinkUtilisation des SIG pour la modélisation des réseaux hydrologiques et l'analyse spatiale des bassins versants du Sahel de Sfax / Nadia Trabelsi in Géomatique expert, n° 88 (01/09/2012)PermalinkLand water storage changes from ground and space geodesy : first results from the GHYRAF (Gravity and Hydrology in Africa) experiment / Jacques Hinderer in Pure and applied geophysics, vol 169 n° 8 (August 2012)PermalinkSensitivity of superconducting gravimeters in central Europe on variations in regional river and drainage basins / C. Kroner in Journal of geodesy, vol 85 n° 10 (October 2011)PermalinkFusion de données topographiques pour la réalisation d'un modèle numérique de terrain : Application à la modélisation de la crue du Niger / Elodie Paris in XYZ, n° 128 (septembre - novembre 2011)PermalinkGIS for hydrological modelling / D. Kirkby ; K. Pegler ; David Coleman in GIM international, vol 25 n° 7 (July 2011)PermalinkValorisation de levers laser aéroportés pour la gestion intégrée du risque d'inondation : quelques exemples dans le département du Haut-Rhin / N. Kreis in Revue Française de Photogrammétrie et de Télédétection, n° 192 (Septembre 2010)PermalinkEvaluating terrestrial water storage variations from regionally constrained GRACE mascon data and hydrological models over Southern Africa: preliminary results / P. Krogh in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)PermalinkEvaluation of a satellite-based global flood monitoring system / K. Yilmaz in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)PermalinkLand cover characterization for hydrological modelling using thermal infrared emissivities / A. French in International Journal of Remote Sensing IJRS, vol 31 n° 14 (July 2010)PermalinkAn object-oriented shared data model for GIS and distributed hydrologic models / Muneendra Kumar in International journal of geographical information science IJGIS, vol 24 n°7-8 (july 2010)PermalinkThe GHYRAF (Gravity and Hydrology in Africa) experiment: Description and first results / Jacques Hinderer in Journal of geodynamics, vol 48 n° 3-5 (December 2009)Permalink