يعرض 1 - 20 نتائج من 62 نتيجة بحث عن '"TROPICAL CATCHMENT"', وقت الاستعلام: 0.63s تنقيح النتائج
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    Academic Journal

    Relation: Marine pollution bulletin; Howley, C; Shellberg, J; Olley, J; Brooks, A; Spencer, J; Burford, M, Sediment and nutrient sources and sinks in a wet-dry tropical catchment draining to the Great Barrier Reef, Marine pollution bulletin, 2021, 165, pp. 112080; http://hdl.handle.net/10072/403864

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    Academic Journal
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    Academic Journal

    المساهمون: Correa, A., Forero, J., Marco Renau, J., Lizarazo, I., Mulligan, M., Codato, D.

    وصف الملف: ELETTRONICO

    Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:001106434700001; volume:64; journal:ECOSYSTEM SERVICES; https://hdl.handle.net/11577/3530223

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    Dissertation/ Thesis

    المؤلفون: Buitrago Vargas, Andres Felipe

    المساهمون: Leonardo Gallo Rivera, Mauricio Herrera Rodriguez

    وصف الملف: 39 p.; application/pdf

    Relation: AILEG. (2013). Estimación del efecto del cambio climático sobre la cuantificación del recurso hídrico , en la cuenca del Río Suaza , tributario del río Magdalena. Huila.; Ajami, N. K. Duan, Q. S. Sorooshian. (2007) .An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction. En: Water Resour. Res, 43 (1) p. W01403.; Andres, N. Vegas. G, F. Lavado. C, W. S. Y Zappa, M. (2014). Water resources and climate change impact modelling on a daily time scale in the Peruvian Andes. En: Hydrol. Sci. J, 59, (11), pp. 2043–2059.; Angarita, H. et al. (2018). Basin-scale impacts of hydropower development on the Mompós Depression wetlands, Colombia. En: Hydrol. Earth Syst. Sci, 22 (5), pp. 2839–2865.; Banos, G. I. Martínez F. J. Esteve, M. A. (2016). Using dynamic sustainability indicators to assess environmental policy measures in Biosphere Reserves. En: Ecol. Indic, 67, pp. 565–576.; Arango, C. Dorado, J. Guzmán, D. y Ruiz, J. (2012). Cambio climátio más probable para colombia a lo largo del siglo xxi respecto al clima presente, Bogota; Baños, G. I. Martínez, F, J. Esteve, S, M. Á. (2014). Simulación dinámica de sistemas socio-ecológicos: sostenibilidad en Reservas de la Biosfera. En: Rev. Ecosistemas, 22 (3) , pp. 74–83; Bastola, S. Murphy, C. Y Sweeney, J. (2011). The role of hydrological modelling uncertainties in climate change impact assessments of Irish river catchments. En: Adv. Water Resour, 34 (5), pp. 562–576.; Beven, K. Freer, J. (2001) Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. En: J. Hydrol, 249 (1) pp. 11–29.; Beven, K. (2006). A manifesto for the equifinality thesis. En: J. Hydrol, 320, (1), pp. 18–36.; Boyle, D. P. Gupta, H. V. Sorooshian, S. (2000). Toward improved calibration of hydrologic models: Combining the strengths of manual and automatic methods. En: Water Resour. Res, 36, (12), pp. 3663–3674; Buytaert, W. Bièvre, De B. (2012.) Water for cities: The impact of climate change and demographic growth in the tropical Andes. En: Water Resour. Res, 48 (8), Aug.; Buytaert, W. Célleri, R. Timbe, L. Predicting climate change impacts on water resources in the tropical Andes: the effects of GCM uncertainty; Del Moral, L. Arrojo, P. Herrera, T. (2015). El agua: Perspectiva ecosistémica y gestión integrada. Zaragoza: Fundación Nueva Cultura del Agua; Demaria, E. M. Nijssen, B. Wagener, T. (2007). Monte Carlo sensitivity analysis of land surface parameters using the Variable Infiltration Capacity model. En: J. Geophys. Res, vol. 112, ( D11) p. D11113.; Duan Q. et al. (2006). Model Parameter Estimation Experiment (MOPEX): An overview of science strategy and major results from the second and third workshops. En: J. Hydrol, 320 (1), pp. 3–17; Francés, F. Bussi, G. (2014). Análisis del impacto del cambio climático en el ciclo de sedimentos de la cuenca del río Ésera (España) mediante un modelo hidrológico distribuido. En: RIBAGUA - Rev. Iberoam. del Agua, 1 (1), pp. 14–25; Freer, J. Beven, K. Ambroise, B. Bayesian. (1996). Estimation of Uncertainty in Runoff Prediction and the Value of Data: An Application of the GLUE Approach. En: Water Resour. Res, 32 (7) , pp. 2161–2173.; Fry, L. M. Watkins, D. W. Reents, N. Rowe, M. D. Y Mihelcic, J. R.( 2012). Climate change and development impacts on the sustainability of spring-fed water supply systems in the Alto Beni region of Bolivia. En J. Hydrol, 468, pp. 120–129.; García. G, M. L. Carvajal. E, Y. Jiménez. E, H. (2007). La gestión integrada de los recursos hídricos como estrategia de adaptación al cambio climático. En: Ing. y Compet, 9 (1), pp. 19–29.; García, M. García, M. C. Botero, A. P. Quiroga, F. A. Y Robles, E. A. (2012). Variabilidad climática, cambio climático y el recurso hídrico en Colombia. En: Rev. Ing, 0, (36) , pp. 60–64.; Gosling, S. N. Taylor, R. G. Arnell, N. W. Y Todd, M. C.( 2011). A comparative analysis of projected impacts of climate change on river runoff from global and catchment-scale hydrological models. En : Hydrol. Earth Syst. Sci, 15 (1) , pp. 279–294.; Gupta, H. V. Wagener, T. Liu, Y. (2008) . Reconciling theory with observations: elements of a diagnostic approach to model evaluation. En: Hydrol. Process, 22, (18) pp. 3802–3813.; Herrera. P, M. Hiscock, K. M. (2015) .Projected impacts of climate change on water availability indicators in a semi-arid region of central Mexico. En: Environ. Sci. Policy, 54, pp. 81–89.; Henríquez Daza, M. (2012). Climatología ambiental de Colombia : una guía sobre la relación clima-ambiente para los estudiantes y profesionales de las carreras ambientales. Universidad Santo Tomás, Departamento de Publicaciones; Kim, J. Mohanty, B. P. Shin, Y. (2015). Effective soil moisture estimate and its uncertainty using multimodel simulation based on Bayesian Model Averaging. En: J. Geophys. Res. Atmos, 120, pp. 8023–8042.; Labrador, A. F. Zúñiga, J. M. Romero, J. (2016). Desarrollo de un modelo para la planificación integral del recurso hídrico en la cuenca hidrográfica del Río Aipe, Huila, Colombia Development of a model for integral planning of water resources in Aipe catchment, Huila, Colombia. En: Rev. Ing. y Región., 15 (1), pp. 23–35.; Laloy, E. Vrugt, J. A. (2012). High-dimensional posterior exploration of hydrologic models using multiple-try DREAM (ZS) and high-performance computing. En: Water Resour. Res, 48 (1), p. W01526.; Legesse, D. Vallet-Coulomb, Gasse, C. F. (2003). Hydrological response of a catchment to climate and land use changes in Tropical Africa: case study South Central Ethiopia. En: J. Hydrol., 275 (1) , pp. 67–85.; Li, H. Luo, L. Wood, E. F. Y Schaake, J. (2009) The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting. En: J. Geophys. Res., 114 (D4), p. D04114, Feb.; Magrin, G. et al. (2014). Part B: Regional Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Climate Change 2014: Impacts, Adaptation, and Vulnerability., Cambridge, United Kingdom : Cambridge University Press, pp. 1499–1566.; Martínez, F. J. Esteve, M. A. Baños. G, I. Carreño, F. YMoreno, A. (2013). Sustainability of Mediterranean irrigated agro-landscapes. En: Ecol. Modell, 248, pp. 11–19; Martinez, G. F. Gupta, H. V. (2010). Toward improved identification of hydrological models: A diagnostic evaluation of the ‘abcd’ monthly water balance model for the conterminous United States. En: Water Resour. Res, v 46, p. W08507.; Metropolis, N. Ulam, S. (1949). The Monte Carlo Method. En: J. Am. Stat. Assoc, 44, (247), pp. 335–341.; Molina-Navarro, E. Hallack-Alegría, M. Martínez-Pérez, S. Ramírez-Hernández, J. Mungaray-Moctezuma, A. Y Sastre-Merlín, A. (2016). Hydrological modeling and climate change impacts in an agricultural semiarid region. Case study: Guadalupe River basin, Mexico. En: Agric. Water Manag, 175, pp. 29–42; Montenegro, S. Ragab, R. (2012). Impact of possible climate and land use changes in the semi arid regions: A case study from North Eastern Brazil.En : J. Hydrol, 434, pp. 55–68.; Montoya, A. F. Sánchez. Ó. J. (2015). Climate change and space-time variability of precipitation in colombia. En: Rev. EIA/ English version, 12 (24) , pp. 131–150.; Mora, D. E. Campozano, L. Cisneros, F. Wyseure, G. y Willems, P. (2014). Climate changes of hydrometeorological and hydrological extremes in the Paute basin, Ecuadorean Andes. En: Hydrol. Earth Syst. Sci, 18 ( 2) , pp. 631–648, Feb.; Nakicenovic, N. Swart, R. (2000). Ipcc special report emissions scenarios Summary for Policymakers Emissions Scenarios. Cambridge, UK .; Nash, J. E. Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I — A discussion of principles. En: J. Hydrol, 10 (3) , pp. 282–290.; Pabón, J. D. ( 2012). Cambio climático en colombia: tendencias en la segunda mitad del siglo XX y escenarios posibles para el siglo XXI. En: Rev. Acad. Colom. Cienc, 36, (139), pp. 261–278.; Peel, M. C. Y G. Bloschl. (2011). Hydrological modelling in a changing world. En: Prog. Phys. Geogr, 35, (2) , pp. 249–261.; Poff, N. L. et al. (2016). Sustainable water management under future uncertainty with eco-engineering decision scaling. En: Nat. Clim. Chang, 6 (1), pp. 25–34.; Prudhomme, C. Y. Davies, H. (2007). Comparison of different sources of uncertainty in climate change impact studies in Great Britain. En Climatic and anthropogenic impacts on the variability of water resources, pp. 90–183.; Ragettli, S. Immerzeel, W. W. Pellicciotti, F. (2016). Contrasting climate change impact on river flows from high-altitude catchments in the Himalayan and Andes Mountains. En: Proc. Natl. Acad. Sci, 113 (33) , pp. 9222–9227.; Raghavan, S. V. Tue, V. M. Y Shie-Yui, L. (2014). Impact of climate change on future stream flow in the Dakbla river basin. En: J. Hydroinformatics, 16 (1), pp. 231–244.; Renard, B. Kavetski, D. Kuczera, G. Thyer, M. Y Franks, S. W. (2010). Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors. En: Water Resour. Res, 46 (5), p. W05521.; Rodríguez, E. González, R. Medina, M. Pardo, Y Santos, A. (2007). Propuesta metodológica para la generación de mapas de inundación y clasificación de zonas de amenaza. Caso de estudio en la parte baja del río las Ceibas (Neiva- Huila). En: Av. en Recur. Hidráulicos, 0, (16) pp. 65–78.; Sá, E. et al. (2016). Climate change and pollutant emissions impacts on air quality in 2050 over Portugal. En: Atmos. Environ, 131, pp. 209–224.; Sadegh, M. Vrugt, J. A. Approximate Bayesian Computation using Markov Chain Monte Carlo simulation: DREAM (ABC). Schewe, J. et al. (2014) Multimodel assessment of water scarcity under climate change. Proc. Natl. Acad. Sci. U. S. A., 111 (9), pp. 3245–50.; Schoups, G. Vrugt, J. A. (2010). A formal likelihood function for parameter and predictive inference of hydrologic models with correlated, heteroscedastic, and non-Gaussian errors. En: Water Resour. Res, 46 (10) , p. W10531.; Stoll, S. Hendricks Franssen, H. J. Butts, M. Y Kinzelbach, W. (2011). Analysis of the impact of climate change on groundwater related hydrological fluxes: a multi-model approach including different downscaling methods. En: Hydrol. Earth Syst. Sci, 15 (1), pp. 21–38.; Thomas, H.(1981). Improved methods for national water assessment, water resources contract: WR15249270. Cambridge.; Thompson, J. R. Green, A. J. Kingston, D. G. Y Gosling, S. N. (2013). Assessment of uncertainty in river flow projections for the Mekong River using multiple GCMs and hydrological models. En: J. Hydrol., 486, pp. 1–30.; Vansteenkiste, T. et al. (2014). Intercomparison of hydrological model structures and calibration approaches in climate scenario impact projections. En: J. Hydrol, 519, pp. 743–755.; Vo, N. D. Gourbesville, P. Vu, T. V, S. Raghavan, Y Liong, S.-Y. (2016).A deterministic hydrological approach to estimate climate change impact on river flow: Vu Gia–Thu Bon catchment, Vietnam. En: J. Hydro-environment Res, 11, pp. 59–74; Vrugt, J. A. Sadegh, M. (2013) Toward diagnostic model calibration and evaluation: Approximate Bayesian computation. Water Resour. Res, 49, pp. 4335–4345; Vrugt, J. A. Diks, C. G. Gupta, H. V. Bouten, W. Y Verstraten, J. M. (2005). Improved treatment of uncertainty in hydrologic modeling: Combining the strengths of global optimization and data assimilation. En: Water Resour. Res, 41 (1), p W01017; Wagener, T. Kollat, J. (2007). Numerical and visual evaluation of hydrological and environmental models using the Monte Carlo analysis toolbox. En Environ. Model. Softw, 22 (7), pp. 1021–1033.; Weiland, F. C. J. A. Vrugt, van Beek, R. L. . P. H. Weerts, A. H. and M. F. P. Bierkens. Significant uncertainty in global scale hydrological modeling from precipitation data errors. J. Hydrol., vol. 529, pp. 1095–1115, 2015.; World Water Development Report 2018 / UN-Water. The United Nations World Water Development Report 2018: Nature-Based Solutions for Water. Paris, 2018.; Yapo, P. O. Gupta, H. V. Sorooshian, S. (1996). Automatic calibration of conceptual rainfall-runoff models: sensitivity to calibration data. En : J. Hydrol, 181 (1), pp. 23–48.; https://hdl.handle.net/20.500.12494/49249; Buitrago Vargas, A. (2023). Simulación Hidrológica de los Impactos Potenciales del Cambio Climático en la Parte Alta del Río Iquira, Huila, Colombia [Tesis de pregrado, Universidad Cooperativa de Colombia]. Repositorio Institucional Universidad Cooperativa de Colombia. https://repository.ucc.edu.co/handle/20.500.12494/49249

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    Academic Journal

    المساهمون: Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Géochimie Des Impacts (GEDI), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Environnements, Dynamiques et Territoires de Montagne (EDYTEM), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG), Laboratoire d'étude des transferts en hydrologie et environnement (LTHE), Observatoire des Sciences de l'Univers de Grenoble (OSUG), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National Polytechnique de Grenoble (INPG)-Centre National de la Recherche Scientifique (CNRS), ANR-06-BLAN-0379,STREAMS,Sediment Transport and Erosion Across Mountains(2006)

    المصدر: ISSN: 0885-6087.

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    Academic Journal
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    المؤلفون: Le, Thi Huong

    المساهمون: Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Ecole Nationale Vétérinaire de Lyon (ENVL), Université de Lyon, Thomas Pommier, Emma J. Rochelle-Newall, Centre National de la Recherche Scientifique (CNRS)-Ecole Nationale Vétérinaire de Lyon (ENVL)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Université de Lyon-Université de Lyon-Ecole Nationale Vétérinaire de Lyon (ENVL)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), STAR, ABES

    المصدر: Ecology, environment. Université de Lyon, 2018. English. ⟨NNT : 2018LYSE1203⟩

    وصف الملف: application/pdf

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    Dissertation/ Thesis

    المؤلفون: Le, Thi Huong

    المساهمون: Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Ecole Nationale Vétérinaire de Lyon (ENVL)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Université de Lyon, Thomas Pommier, Emma J. Rochelle-Newall

    المصدر: https://theses.hal.science/tel-02008044 ; Ecology, environment. Université de Lyon, 2018. English. ⟨NNT : 2018LYSE1203⟩.

    Relation: NNT: 2018LYSE1203

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    Academic Journal