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Termes IGN > sciences naturelles > sciences de la Terre et de l'univers > géosciences > géographie physique > hydrographie > hydrographie de surface > bassin hydrographique > ruissellement
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A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level / Laxmi Gupta in Journal of maps, vol 18 n° 2 (February 2023)
[article]
Titre : A GIS-based flood risk mapping of Assam, India, using the MCDA-AHP approach at the regional and administrative level Type de document : Article/Communication Auteurs : Laxmi Gupta, Auteur ; Jagabandhu Dixit, Auteur Année de publication : 2023 Article en page(s) : 33 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse multicritère
[Termes IGN] cartographie des risques
[Termes IGN] eau de surface
[Termes IGN] Inde
[Termes IGN] inondation
[Termes IGN] planification
[Termes IGN] processus de hiérarchisation analytique
[Termes IGN] ruissellement
[Termes IGN] système d'information géographique
[Termes IGN] vulnérabilitéRésumé : (auteur) Floods are frequently occurring events in the Assam region due to the presence of the Brahmaputra River and the heavy monsoon period. An efficient and reliable methodology is utilized to prepare a GIS-based flood risk map for the Assam region, India. At the regional and administrative level, the flood hazard index (FHI), flood vulnerability index (FVI), and flood risk index (FRI) are developed using multi-criteria decision analysis (MCDA) – analytical hierarchy process (AHP). The selected indicators define the topographical, geological, meteorological, drainage characteristics, land use land cover, and demographical features of Assam. The results show that more than 70%, 57.37%, and 50% of the total area lie in moderate to very high FHI, FVI, and FRI classes, respectively. The proposed methodology can be applied to identify high flood risk zones and to carry out effective flood risk management and mitigation strategies in vulnerable areas. Numéro de notice : A2023-054 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/10106049.2022.2060329 Date de publication en ligne : 19/04/2022 En ligne : https://doi.org/10.1080/10106049.2022.2060329 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=102387
in Journal of maps > vol 18 n° 2 (February 2023) . - 33 p.[article]A GIS-based approach for identification of optimum runoff harvesting sites and storage estimation: a study from Subarnarekha-Kangsabati Interfluve, India / Manas Karmakar in Applied geomatics, vol 14 n° 2 (June 2022)
[article]
Titre : A GIS-based approach for identification of optimum runoff harvesting sites and storage estimation: a study from Subarnarekha-Kangsabati Interfluve, India Type de document : Article/Communication Auteurs : Manas Karmakar, Auteur ; Debasis Ghosh, Auteur Année de publication : 2022 Article en page(s) : pp 253 - 266 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse multicritère
[Termes IGN] ArcGIS
[Termes IGN] barrage
[Termes IGN] couche thématique
[Termes IGN] eau de surface
[Termes IGN] eau pluviale
[Termes IGN] géomorphologie locale
[Termes IGN] gestion de l'eau
[Termes IGN] Inde
[Termes IGN] MNS SRTM
[Termes IGN] plan d'eau
[Termes IGN] ruissellement
[Termes IGN] stockageRésumé : (auteur) Numéro de notice : A2022-491 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1007/s12518-022-00433-3 Date de publication en ligne : 29/03/2022 En ligne : https://doi.org/10.1007/s12518-022-00433-3 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100789
in Applied geomatics > vol 14 n° 2 (June 2022) . - pp 253 - 266[article]Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data / Cheng-Chun Lee in Computers, Environment and Urban Systems, vol 93 (April 2022)
[article]
Titre : Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data Type de document : Article/Communication Auteurs : Cheng-Chun Lee, Auteur ; Nasir G. Gharaibeh, Auteur Année de publication : 2022 Article en page(s) : n° 101755 Note générale : bibliogrphie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] classification par réseau neuronal convolutif
[Termes IGN] données lidar
[Termes IGN] données localisées 3D
[Termes IGN] drainage
[Termes IGN] écoulement des eaux
[Termes IGN] Houston (Texas)
[Termes IGN] inondation
[Termes IGN] lidar mobile
[Termes IGN] modèle numérique de surface
[Termes IGN] ruissellement
[Termes IGN] segmentation sémantiqueRésumé : (auteur) Surface drainage at the neighborhood and street scales plays an important role in conveying stormwater and mitigating urban flooding. Surface drainage at the local scale is often ignored due to the lack of up-to-date fine-scale topographical information. This paper addresses this issue by providing a novel method for evaluating surface drainage at the neighborhood and street scales based on mobile lidar (light detection and ranging) measurements. The developed method derives topographical properties and runoff accumulation by applying a semantic segmentation (SS) model (a computer vision technique) and a flow direction model (a hydrology technique) to lidar data. Fifty lidar images representing 50 street blocks were used to train, validate, and test the SS model. Based on the test dataset, the SS model has 80.3% IoU and 88.5% accuracy. The results suggest that the proposed method can effectively evaluate surface drainage conditions at both the neighborhood and street scales and identify problematic low points that could be susceptible to water ponding. Municipalities and property owners can use this information to take targeted corrective maintenance actions. Numéro de notice : A2022-120 Affiliation des auteurs : non IGN Thématique : IMAGERIE/URBANISME Nature : Article DOI : 10.1016/j.compenvurbsys.2021.101755 Date de publication en ligne : 13/01/2022 En ligne : https://doi.org/10.1016/j.compenvurbsys.2021.101755 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99661
in Computers, Environment and Urban Systems > vol 93 (April 2022) . - n° 101755[article]Simulation of the meltwater under different climate change scenarios in a poorly gauged snow and glacier-fed Chitral River catchment (Hindukush region) / Huma Hayat in Geocarto international, vol 37 n° 1 ([01/01/2022])
[article]
Titre : Simulation of the meltwater under different climate change scenarios in a poorly gauged snow and glacier-fed Chitral River catchment (Hindukush region) Type de document : Article/Communication Auteurs : Huma Hayat, Auteur ; Adnan Ahmad Tahir, Auteur ; sara Wajid, Auteur ; et al., Auteur Année de publication : 2022 Article en page(s) : pp 103 - 119 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] bassin hydrographique
[Termes IGN] changement climatique
[Termes IGN] données météorologiques
[Termes IGN] eau de fonte
[Termes IGN] estimation statistique
[Termes IGN] fonte des glaces
[Termes IGN] image Terra-MODIS
[Termes IGN] inondation
[Termes IGN] modèle de simulation
[Termes IGN] modèle numérique de surface
[Termes IGN] Pakistan
[Termes IGN] prévention des risques
[Termes IGN] ressources en eau
[Termes IGN] ruissellement
[Termes IGN] série temporelle
[Termes IGN] variation saisonnièreRésumé : (auteur) Seasonal and annual water supplies of the rivers originating in the Hindukush-Karakoram-Himalaya (HKH) region of Pakistan are important to manage the Indus basin irrigation system for better agricultural production and its dependent agrarian economy. In this study, we simulated the current and future snowmelt runoff in a poorly gauged river basin of the Hindukush region under Representative Concentration Pathways (RCP) climate change scenarios. Snowmelt Runoff Model (SRM) furnished with satellite snow cover maps and hydro-meteorological data were used to simulate the daily river discharge for the period 2000‒2005. The results indicated that SRM has effectually simulated the runoff in Chitral River with Nash-Sutcliffe model efficiency coefficient of 0.85 (0.84) and 0.88 (0.83) in the basin-wide (zone-wise) application during the calibration and validation periods, respectively. The results obtained under future climate change scenario showed ∼14‒19% increase in mean summer discharge under three mid-21st century RCP (2.6, 4.5 and 8.5) scenarios. While an increase of ∼13‒37% is expected under late-21st century RCP scenarios. This study can help water resource managers to plan and manage peak discharges from the Chitral River Basin in the future and can thus prevent major losses due to floods in the area. Numéro de notice : A2022-047 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1700557 Date de publication en ligne : 12/12/2019 En ligne : https://doi.org/10.1080/10106049.2019.1700557 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99421
in Geocarto international > vol 37 n° 1 [01/01/2022] . - pp 103 - 119[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-2022011 RAB Revue Centre de documentation En réserve L003 Disponible Potential flood hazard zone mapping based on geomorphologic considerations and fuzzy analytical hierarchy model in a data scarce West African basin / Olabanji Aladejana in Geocarto international, vol 36 n° 19 ([01/11/2021])
[article]
Titre : Potential flood hazard zone mapping based on geomorphologic considerations and fuzzy analytical hierarchy model in a data scarce West African basin Type de document : Article/Communication Auteurs : Olabanji Aladejana, Auteur ; Ayobami T Salami, Auteur ; Olusola Olufayo Adetoro, Auteur Année de publication : 2021 Article en page(s) : pp 2160 - 2185 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Cartographie thématique
[Termes IGN] analyse de sensibilité
[Termes IGN] bassin hydrographique
[Termes IGN] Bénin
[Termes IGN] carte géomorphologique
[Termes IGN] cartographie des risques
[Termes IGN] indice d'humidité
[Termes IGN] inondation
[Termes IGN] processus de hiérarchisation analytique floue
[Termes IGN] ruissellement
[Termes IGN] système d'information géographiqueRésumé : (auteur) Fuzzy analytical hierarchy process (FAHP) was employed to map and rank flood hazard zones within the Northwest Benin Owena River Basin (NWBORB). Topographic wetness index, elevation, altitude above channel, slope, drainage density, convergence index, and runoff contributing to water accumulation/stagnation were processed to generate the flood hazard map of the basin. Values for the relative importance of each factor for flood occurrence were obtained using FAHP; these factors were super-imposed using weighted overlay. Sensitivity analysis of the weights was conducted to determine their influence on the overall analysis. The resultant flood hazard map was classified into five zones very high, high, moderate, low, and very low. Sensitivity analysis of the result showed that runoff and slope were the most sensitive factors in the analysis with values of 1.163 and 1.132, respectively. A comparison between flood hazard map and historical floods within the basin established the reliability of the methodology. Numéro de notice : A2021-764 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2019.1687595 Date de publication en ligne : 11/11/2019 En ligne : https://doi.org/10.1080/10106049.2019.1687595 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98809
in Geocarto international > vol 36 n° 19 [01/11/2021] . - pp 2160 - 2185[article]A repeatable change detection approach to map extreme storm-related damages caused by intense surface runoff based on optical and SAR remote sensing: Evidence from three case studies in the South of France / Arnaud Cerbelaud in ISPRS Journal of photogrammetry and remote sensing, Vol 182 (December 2021)PermalinkFlood inundation mapping and hazard assessment of Baitarani River basin using hydrologic and hydraulic model / Gaurav Talukdar in Natural Hazards, vol 109 n° 1 (October 2021)PermalinkPrevention of erosion in mountain basins: A spatial-based tool to support payments for forest ecosystem services / Sandro Sacchelli in Journal of forest science, vol 67 n° 6 (July 2021)PermalinkDEM resolution influences on peak flow prediction: a comparison of two different based DEMs through various rescaling techniques / Ali H. Ahmed Suliman in Geocarto international, vol 36 n° 7 ([15/04/2021])PermalinkIntegrating runoff map of a spatially distributed model and thematic layers for identifying potential rainwater harvesting suitability sites using GIS techniques / Hamid Karimi in Geocarto international, vol 36 n° 3 ([15/02/2021])PermalinkModeling soil erosion after mechanized logging operations on steep terrain in the Northern Black Forest, Germany / Julian Haas in European Journal of Forest Research, vol 139 n°4 (August 2020)PermalinkGIS-based multi criteria decision making method to identify potential runoff storage zones within watershed / Vikas Kumar Rana in Annals of GIS, vol 26 n° 2 (April 2020)PermalinkClassifying physiographic regimes on terrain and hydrologic factors for adaptive generalization of stream networks / Lauwrence V. Stanislawski in International journal of cartography, Vol 6 n° 1 (March 2020)PermalinkPermalinkLes eaux de pluie maîtrisées ou en excès / Pierre Clergeot in Géomètre, n° 2173 (octobre 2019)PermalinkPermalinkIdentification of rainwater harvesting sites using SCS-CN methodology, remote sensing and Geographical Information System techniques / Tarun Kumar in Geocarto international, vol 32 n° 12 (December 2017)PermalinkEffects of using different sources of remote sensing and geographic information system data on urban stormwater 2D–1D modeling / Yi Hong in Applied sciences, vol 7 n° 9 (September 2017)PermalinkPit-mound microrelief in forest soils: Review of implications for water retention and hydrologic modelling / Martin Valtera in Forest ecology and management, vol 393 (1 June 2017)PermalinkAnalysis of spatial variability of near-surface soil moisture to increase rainfall-runoff modelling accuracy in SW Hungary / P. Hegedüs in Open geosciences, vol 7 n° 1 (January 2015)PermalinkData-driven feature learning for high resolution urban land-cover classification / Piotr Andrzej Tokarczyk (2015)PermalinkAccuracy assessment of MODIS/Terra snow cover product for parts of Indian Himalayas / Hari Prasad Chelamallu in Geocarto international, vol 29 n° 5 - 6 (August - October 2014)PermalinkTélédétection, SIG et modélisation de l'érosion hydrique dans le bassin versant de l'Oued Amzaz, Rif central / Jamal Chaaouan in Revue Française de Photogrammétrie et de Télédétection, n° 203 (Juillet 2013)PermalinkSnowSAR: Battling climate change for ESA / A. Meta in GEO: Geoconnexion international, vol 11 n° 8 (september 2012)PermalinkUse of high-resolution satellite imagery for investigating acid mine drainage from artisanal coal mining in North-Eastern India / B. Blahwar in Geocarto international, vol 27 n° 3 (June 2012)PermalinkClose range stereophotogrammetry and video imagery analyses in soil ecohydrology modelling / Maria J. Rossi in Photogrammetric record, vol 27 n° 137 (March - May 2012)PermalinkModelling the Zn emissions from roofing materials at Créteil city scale : Defining a methodology / Emna Sellami-Kaaniche (2012)PermalinkGIS for hydrological modelling / D. Kirkby ; K. Pegler ; David Coleman in GIM international, vol 25 n° 7 (July 2011)PermalinkAssessment of erosion, deposition and rill development on irregular soil surfaces using close range digital photogrammetry / G. Gessesse in Photogrammetric record, vol 25 n° 131 (September - November 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)PermalinkInteroperability of functions in environmental models: a case study in hydrological modeling / S. Hu in International journal of geographical information science IJGIS, vol 23 n° 5 (may 2009)PermalinkKalypso open source: a GIS-based platform for environmental and water resources modeling / G. Belger in Geoinformatics, vol 12 n° 2 (01/03/2009)PermalinkPermalinkAn assessment of the effects of cell size on AGNPS modeling of watershed runoff / S.S. Wu in Cartography and Geographic Information Science, vol 35 n° 4 (October 2008)PermalinkModélisation du ruissellement érosif par automate cellulaire / D. Gaillard in Revue internationale de géomatique, vol 18 n° 3 (septembre - novembre 2008)PermalinkEffects of DEM resolution and source on soil erosion modelling: a case study using the WEPP model / J.X. Zhang in International journal of geographical information science IJGIS, vol 22 n° 8-9 (august 2008)PermalinkImproving National Land Cover Database estimates of road network impervious cover using vector road networks in GIS / K. Thomas in SaLIS Surveying and land information science, vol 68 n° 1 (March 2008)PermalinkEtude d'une cartographie du risque d'inondation par ruissellement pluvial sur le département du Val d'Oise / A. Noel (2008)PermalinkEstimating spatial patterns of rainfall interception from remotely sensed vegetation indices and spectral mixture analysis / S.M. de Jong in International journal of geographical information science IJGIS, vol 21 n° 5 (may 2007)PermalinkMapping urban land cover using Quickbird NDVI and GIS spatial modeling for runoff coefficient determination / P. Thanapura in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 1 (January 2007)PermalinkAn efficient method for identifying and filling surface depressions in digital elevation models for hydrologic analysis and modelling / L. Wang in International journal of geographical information science IJGIS, vol 20 n° 2 (february 2006)PermalinkAnalyse et évaluation de l'érosion hydrique et du ravinement associé dans la ville de Nioro-du-Rip (Sénégal) par télédétection et SIG / B. Ndoye (2006)PermalinkSimulation multi-échelle pour la gestion préventive du risque de ruissellement / Wassim Jaziri in Revue internationale de géomatique, vol 15 n° 4 (décembre 2005 – février 2006)PermalinkImplementing a new model for simulating processes / F. Reitsma in International journal of geographical information science IJGIS, vol 19 n° 10 (november 2005)PermalinkEmbedding landscape processes into triangulated terrain models / E.R. Vivoni in International journal of geographical information science IJGIS, vol 19 n° 4 (april 2005)PermalinkEvaluation of the runoff potential in high relief semi-arid regions using remote sensing data: application to Bolivia / T. Ouattara in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)PermalinkCouplage d'un logiciel d'aide à la gestion des pollutions diffuses par les phytosanitaires d'origine agricole (AGPA) avec un SIG / S. Meaux (2004)PermalinkModélisation et gestion des contraintes pour un problème d'optimisation sur-contraint : Application à l'aide à la décision pour la gestion du risque de ruissellement / Wassim Jaziri (2004)PermalinkQualité des eaux superficielles et assolement dans le bassin versant du Madon (Lorraine) / F. Masutti (2004)PermalinkCharacterization of rainfall-induced landslides / F.C. Dai in International Journal of Remote Sensing IJRS, vol 24 n° 23 (December 2003)Permalink