Relevant bibliographies by topics / Distributed hydrological modelling

Contents

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

Academic literature on the topic 'Distributed hydrological modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Distributed hydrological modelling"

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Kunstmann, H., J. Krause, and S. Mayr. "Inverse distributed hydrological modelling of alpine catchments." Hydrology and Earth System Sciences Discussions 2, no. 6 (2005): 2581–623. http://dx.doi.org/10.5194/hessd-2-2581-2005.

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Abstract. Even in physically based distributed hydrological models, various remaining parameters must be estimated for each sub-catchment. This can involve tremendous effort, especially when the number of sub-catchments is large and the applied hydrological model is computationally expensive. Automatic parameter estimation tools can significantly facilitate the calibration process. Hence, we combined the nonlinear parameter estimation tool PEST with the distributed hydrological model WaSiM. PEST is based on the Gauss-Marquardt-Levenberg method, a gradient-based nonlinear parameter estimation a
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Kunstmann, H., J. Krause, and S. Mayr. "Inverse distributed hydrological modelling of Alpine catchments." Hydrology and Earth System Sciences 10, no. 3 (2006): 395–412. http://dx.doi.org/10.5194/hess-10-395-2006.

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Abstract. Even in physically based distributed hydrological models, various remaining parameters must be estimated for each sub-catchment. This can involve tremendous effort, especially when the number of sub-catchments is large and the applied hydrological model is computationally expensive. Automatic parameter estimation tools can significantly facilitate the calibration process. Hence, we combined the nonlinear parameter estimation tool PEST with the distributed hydrological model WaSiM. PEST is based on the Gauss-Marquardt-Levenberg method, a gradient-based nonlinear parameter estimation a
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Ocio, D., T. Beskeen, and K. Smart. "Fully distributed hydrological modelling for catchment-wide hydrological data verification." Hydrology Research 50, no. 6 (2019): 1520–34. http://dx.doi.org/10.2166/nh.2019.006.

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Abstract Hydrological data scarcity and uncertainty is a fundamental challenge in hydrology, particularly in places with weak or declining investment in hydrometric networks. It is well established that fully distributed hydrological models can provide robust estimation of flows at ungauged locations, through local calibration and regionalisation using spatial datasets of physical properties. Even in situations where data are abundant, the existence of inconsistent information is not uncommon. The measurement, estimation or interpolation of rainfall, potential evapotranspiration and flow as we
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Semenova, Olga, and Keith Beven. "Barriers to progress in distributed hydrological modelling." Hydrological Processes 29, no. 8 (2015): 2074–78. http://dx.doi.org/10.1002/hyp.10434.

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Uhlenbrook, Stefan, Alberto Montanari, and João L. M. P. de Lima. "Preface to the special issue: “Hydrological processes and distributed hydrological modelling”." Physics and Chemistry of the Earth, Parts A/B/C 28, no. 6-7 (2003): 225. http://dx.doi.org/10.1016/s1474-7065(03)00031-7.

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Beven*, K. "How far can we go in distributed hydrological modelling?" Hydrology and Earth System Sciences 5, no. 1 (2001): 1–12. http://dx.doi.org/10.5194/hess-5-1-2001.

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Abstract. This paper considers distributed hydrological models in hydrology as an expression of a pragmatic realism. Some of the problems of distributed modelling are discussed including the problem of nonlinearity, the problem of scale, the problem of equifinality, the problem of uniqueness and the problem of uncertainty. A structure for the application of distributed modelling is suggested based on an uncertain or fuzzy landscape space to model space mapping. This is suggested as the basis for an Alternative Blueprint for distributed modelling in the form of an application methodology. This
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Dehotin, J., and I. Braud. "Which spatial discretization for which distributed hydrological model?" Hydrology and Earth System Sciences Discussions 4, no. 2 (2007): 777–829. http://dx.doi.org/10.5194/hessd-4-777-2007.

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Abstract. Distributed hydrological models are valuable tools to derive distributed estimation of water balance components or to study the impact of land-use or climate change on water resources and water quality. In these models, the choice of an appropriate spatial scale for the modelling units is a crucial issue. It is obviously linked to the available data and their scale, but not only. For a given catchment and a given data set, the "optimal" spatial discretization should be different according to the problem to be solved and the objectives of the modelling. Thus a flexible methodology is
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Overgaard, J., D. Rosbjerg, and M. B. Butts. "Land-surface modelling in hydrological perspective." Biogeosciences Discussions 2, no. 6 (2005): 1815–48. http://dx.doi.org/10.5194/bgd-2-1815-2005.

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Abstract. A comprehensive review of energy-based land-surface modelling, as seen from a hydrological perspective, is provided. We choose to focus on energy-based approaches, because in comparison to the traditional potential evapotranspiration models, these approaches allow for a stronger link to remote sensing and atmospheric modelling. New opportunities for evaluation of distributed land-surface models through application of remote sensing are discussed in detail, and the difficulties inherent in various evaluation procedures are presented. Remote sensing is the only source of distributed da
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Beven, Keith. "Prophecy, reality and uncertainty in distributed hydrological modelling." Advances in Water Resources 16, no. 1 (1993): 41–51. http://dx.doi.org/10.1016/0309-1708(93)90028-e.

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Mendoza, Manuel, Gerardo Bocco, and Miguel Bravo. "Spatial prediction in hydrology: status and implications in the estimation of hydrological processes for applied research." Progress in Physical Geography: Earth and Environment 26, no. 3 (2002): 319–38. http://dx.doi.org/10.1191/0309133302pp335ra.

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Based on a review of research, the linkages between distributed hydrological modelling (DHM) remote sensing (RS) and geographical information system (GIS) techniques, coupled with geomorphological knowledge are discussed. While presenting characteristics of the models, techniques, and supporting analytical tools of geographical hydrology, the emphasis is on the estimation of hydrological variables. The first is limited to the spatialization and integration of low resolution meteorological data with hydrological models in a GIS environment. The second includes research in the calculation of pre
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Dissertations / Theses on the topic "Distributed hydrological modelling"

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Tsegaw, Aynalem Tassachew. "Short term Distributed Hydrological Modelling of Gaula Catchment." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for vann- og miljøteknikk, 2010. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-12597.

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Testing and trying out of the applicability and utility of watershed hydrological models in different; catchment sizes, hydro-geologic conditions, soil conditions and with different time resolutions is necessary for a range of spatial scales to assess the utility of these models in water shade management means like flood protection, land slide prevention, erosion control etc. The main purpose of this thesis is to tryout TOPLAND hydrological model, i.e. the new developments to the LANDPINE model allowing for using TOPMODEL distributed runoff generation, with different precipitation input method
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Davison, Bruce. "Snow Accumulation in a Distributed Hydrological Model." Thesis, University of Waterloo, 2004. http://hdl.handle.net/10012/793.

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The cryosphere is defined as the portions of the earth where water is in solid form. It represents a very important part of the hydrologic cycle, affecting ecological, human and climate systems. A number of component models describing the energy and mass balances of a snowpack have been developed and these component models are finding their way into watershed models and land surface schemes. The purpose of this thesis is to examine the incorporation of a number of snow processes in the coupled land-surface-hydrological model WATCLASS. The processes under consideration were mixed pr
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Wilde, Bryn. "A geographic information system approach to distributed hydrological modelling." Thesis, Cardiff University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327722.

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Kuhnert, Matthias, Andreas Güntner, Mechthild Klann, Garrido F. Martin, and Birgit Zillgens. "Methods for spatial pattern comparison in distributed hydrological modelling : [Poster]." Universität Potsdam, 2006. http://www.uni-potsdam.de/imaf/events/ge_work0602.html.

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The rigorous development, application and validation of distributed hydrological models obligates to evaluate data in a spatially distributed way. In particular, spatial model predictions such as the distribution of soil moisture, runoff generating areas or nutrient-contributing areas or erosion rates, are to be assessed against spatially distributed observations. Also model inputs, such as the distribution of modelling units derived by GIS and remote sensing analyses, should be evaluated against groundbased observations of landscape characteristics. So far, however, quantitative methods of sp
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Sokrut, Nikolay. "The Integrated Distributed Hydrological Model, ECOFLOW- a Tool for Catchment Management." Doctoral thesis, Stockholm, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-237.

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Götzinger, Jens. "Distributed conceptual hydrological modelling - simulation of climate, land use change impact and uncertainty analysis." [S.l. : s.n.], 2007. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-33499.

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Götzinger, Jens [Verfasser]. "Distributed conceptual hydrological modelling : simulation of climate, land use change impact and uncertainty analysis / von Jens Götzinger." Stuttgart : Inst. für Wasserbau, 2007. http://d-nb.info/996792422/34.

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Rudnick, Sebastian. "Hydrological modelling of a catchment supported by the discharge of treated wastewater - A comparison of two model concepts." Doctoral thesis, Humboldt-Universität zu Berlin, 2018. http://dx.doi.org/10.18452/19501.

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Die Untersuchung von Klimaszenarien ergab, dass die Grundwasserneubildung in Nordostdeutschland abnehmen könnte. Um Süßgewässer zu erhalten müssen neue Strategien entwickelt werden. Im Gebiet des Lietzengrabens wird Klarwasser eingeleitet, um Feuchtgebiete und Seen zu erhalten. Diese Strategie wurde durch eine Szenarioanalyse erarbeitet, die sich auf das hydrologische iterative Modell ArcEGMO-ASM stützte. In dieser Arbeit wurde das voll integrierte Modell HydroGeoSphere genutzt, um den Fluss von Wasser an der Oberfläche und im Untergrund zu simulieren. Basierend auf dieser Simulation wurden F
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Pak, Lai Ting. "Modélisation hydrologique distribuée des écoulements surface-souterrain à l’échelle d’un bassin versant bananier en milieu tropical volcanique (Guadeloupe, France)." Thesis, Montpellier, SupAgro, 2013. http://www.theses.fr/2013NSAM0014/document.

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Aux Antilles, la disponibilité limitée des ressources en contexte insulaire et l'activité agricole à aux niveaux d'intrants fragilisent les ressources en eau. Dans les zones bananières à forts niveaux d'intrants, des phénomènes de pollution des eaux sont particulièrement marqués, notamment du fait de l'usage d'un pesticide, la chlordécone. La connaissance du fonctionnement des systèmes hydrologiques à l'échelle du bassin versant représente un enjeu primordial pour pouvoir estimer l'exposition de l'écosystème aux pollutions et pour prévoir l'évolution des contaminations dans le temps. L'objecti
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Siswanto, Shantosa Yudha. "Impact Evaluation of Future Climate and Land Use Scenarios on Water and Sediment Regime using Distributed Hydrological Modelling in a Tropical Rainforest Catchment in West Java (Indonesia)." Doctoral thesis, Universitat Politècnica de València, 2020. http://hdl.handle.net/10251/153152.

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[EN] Climate change has occurred in Indonesia, for example, increasing the surface air temperature, including in the Upper Citarum watershed. This phenomenon leads to a lack of water in the dry season, which lowers agriculture production and remains a great obstacle for agricultural activity. Meanwhile, human activity has produced severe LULC changes within the Upper Citarum watershed. This occurs due to the demands of the ever-increasing population growth in the region. As a result, rice field and forested areas have been sacrificed to compensate the urban increment. The general objective of
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Books on the topic "Distributed hydrological modelling"

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B, Abbott Michael, and Refsgaard Jens Christian, eds. Distributed hydrological modelling. Kluwer Academic, 1996.

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Abbott, Michael B., and Jens Christian Refsgaard, eds. Distributed Hydrological Modelling. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-009-0257-2.

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J, Beven K., ed. Distributed hydrological modelling: Application of the TOPMODEL concept. John Wiley & Sons, 1997.

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Yasuto, Tachikawa, IAHS International Commission on Surface Water., and International Union of Geodesy and Geophysics. General Assembly, eds. Weather radar information and distributed hydrological modelling: Proceedings of an international symposium (Symposium HS03) held during IUGG 2003, the XXIII General Assembly of the International Union of Geodesy and Geophysics : at Sapporo, Japan, from 30 June to 11 July, 2003. International Association of Hydrological Science, 2003.

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Abbott, Michael B. Distributed Hydrological Modelling. Springer, 2011.

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Abbott, Michael B. Distributed Hydrological Modelling. Island Press, 1996.

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Abbott, Michael B., and Jens Christian Refsgaard. Distributed Hydrological Modelling. Springer London, Limited, 2012.

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Beven, K. J. Distributed Hydrological Modelling: Applications of the Topmodel Concept (Advances in Hydrological Processes). Wiley, 1998.

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Book chapters on the topic "Distributed hydrological modelling"

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Hansen, M., and P. Gravesen. "Geological Modelling." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_10.

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Thorsen, M., J. Feyen, and M. Styczen. "Agrochemical Modelling." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_7.

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Lørup, J. K., and M. Styczen. "Soil Erosion Modelling." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_6.

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Refsgaard, J. C., and M. B. Abbott. "The Role of Distributed Hydrological Modelling in Water Resources Management." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_1.

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Deckers, F., and C. B. M. Te Stroet. "Use Of GIS And Database with Distributed Modelling." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_11.

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Sørensen, H. R., J. Klucovska, J. Topolska, T. Clausen, and J. C. Refsgaard. "An Engineering Case Study - Modelling the Influences of Gabcikovo Hydropower Plant on the Hydrology and Ecology in the Slovakian Part of the River Branch System of Zitny Ostrov." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_12.

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Beven, Keith J. "A Discussion of Distributed Hydrological Modelling." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_13.

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Refsgaard, J. C., B. Storm, and M. B. Abbott. "Comment on ’A Discussion of Distributed Hydrological Modelling’ by K. Beven." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_14.

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Beven, Keith J. "Response to comments on ‘a discussion of distributed hydrological modelling’ by j c refsgaard et al." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_15.

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Minns, A. W. "Hydrological Modelling in a Hydroinformatics Context." In Distributed Hydrological Modelling. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_16.

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Conference papers on the topic "Distributed hydrological modelling"

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"River discharge simulation of a distributed hydrological model on global scale for the hazard quantification." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.g5.magome.

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Rubarenzya, Mark Henry. "Statistical Methods and Representation of Extreme Discharge — Findings from a Distributed Hydrological Modelling Study." In World Environmental and Water Resources Congress 2008. American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)380.

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Erturk, Ali, Gokhan Cuceloglu, Alpaslan Ekdal, et al. "Estimation of Blue and Green Water Potentials of Türkiye under Global Climate Change Effects." In The 2nd International Conference on Civil Infrastructure and Construction. Qatar University Press, 2023. http://dx.doi.org/10.29117/cic.2023.0157.

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This study analyzed the impact of global climate change scenarios on the water resources of Turkiye by means of various climate and hydrological simulations projected for this century. An integrated approach was used by coupling regional climate models and a semi-distributed hydrologic model to assess the climate change impacts. A regional climate model, that is the output of 3 global models (HadGEM2-ES, MPI-ESM-MR and CNRM-CM5.1), has been conducted with RCP4.5 & RCP8.5 emission scenarios for whole the country at the watershed-scale with a resolution of 10x10 km. Hydrological simulations
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Vizina, Stepan. "COMPARISON�OF�SEMI-DISTRIBUTED�AND�DISTRIBUTED�APPROACHES�OF�THE�HYDROLOGICAL�RAINFALL-RUNOFF�MODELLING�AND�DETERMINATION�OF�MORPHOLOGICAL�AND�MORPHOMETRIC�CHARACTERISTICS�OF�WATERSHEDS." In SGEM2012 12th International Multidisciplinary Scientific GeoConference and EXPO. Stef92 Technology, 2012. http://dx.doi.org/10.5593/sgem2012/s13.v3011.

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Morales-de la Cruz, M., and F. Francés. "Hydrological modelling of the “Sierra de las Minas” in Guatemala, by using a conceptual distributed model and considering the lack of data." In GEO-ENVIRONMENT 2008. WIT Press, 2008. http://dx.doi.org/10.2495/geo080101.

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Karunarathna, S. M. S. D., and R. L. H. L. Rajapakse. "Enhancing streamflow prediction in Sri Lankan River Basins using AI models: A comparative study of wet and dry zones." In Civil Engineering Research Symposium 2024. Department of Civil Engineering, University of Moratuwa, 2024. http://dx.doi.org/10.31705/cers.2024.13.

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Artificial Intelligence (AI) techniques have gained significant attention in recent years for their application in various engineering domains, including hydrology. Groundwater modelling, streamflow prediction, precipitation forecasting, temperature forecasting, and time series generation for rainfall are some of the hydrological applications that have benefited from AI techniques. In Sri Lanka, water resource management is challenging due to the country's geographical characteristics, seasonal rainfall patterns, and growing water demands. Traditional methods used in water resource management
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Madhumal, P. V. R. P., and H. G. L. N. Gunawardhana. "Evaluating the impact of drought spatial distribution on river flow dynamics using remote sensing data." In Civil Engineering Research Symposium 2024. Department of Civil Engineering, University of Moratuwa, 2024. http://dx.doi.org/10.31705/cers.2024.33.

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Drought is a complex and challenging weather-related disaster with significant economic, social, and environmental impacts. Traditional drought monitoring, which primarily relies on ground observations, often falls short due to limited spatial coverage and data scarcity. Most existing drought indices focus on a single variable, which may not adequately capture the full scope of drought conditions. To address this, integrating multiple parameters from remote sensing data presents a promising approach, providing spatially distributed and real-time information for a more accurate and comprehensiv
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"Estimating Lake Mulwala diversions for calibration of a semi-distributed hydrologic model of the Murray River." In 23rd International Congress on Modelling and Simulation (MODSIM2019). Modelling and Simulation Society of Australia and New Zealand, 2019. http://dx.doi.org/10.36334/modsim.2019.k13.ngtl.

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"Approaches to distributed execution of hydrologic models: methods for ensemble Monte Carlo risk modelling with and without workflows." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.c8.pickett.

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Reports on the topic "Distributed hydrological modelling"

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Hasan, Abdulghani. Flood Modelling Tool : an integrated GIS and hydrological modelling tool for planning nature-based solutions in the urban environment. Faculty of Landscape Architecture, Horticulture and Crop Production Science, Swedish University of Agricultural Sciences, 2024. http://dx.doi.org/10.54612/a.5s9t2ca774.

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The risk of pluvial flooding is going to increase as climate change causes an increase in intense precipitation along with urbanisation leading to an increase in impermeable surfaces. In the last decade, cities such as Malmö and Copenhagen have already experienced severe pluvial flooding that has caused extensive damage. Adapting to climate change by creating flood resilient urban areas is therefore important and blue-green infrastructure (BGI) may be one measure to accomplish this. A hydrological model called TFM-DYN has been used to investigate whether BGI can aid the mitigation of pluvial f
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