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Relevant bibliographies by topics / Hydrologic modelling

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Academic literature on the topic 'Hydrologic modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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Journal articles on the topic "Hydrologic modelling"

1

Guilpart, Etienne, Vahid Espanmanesh, Amaury Tilmant, and François Anctil. "Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models." Hydrology and Earth System Sciences 25, no. 8 (2021): 4611–29. http://dx.doi.org/10.5194/hess-25-4611-2021.

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Abstract. The impacts of climate and land-use changes make the stationary assumption in hydrology obsolete. Moreover, there is still considerable uncertainty regarding the future evolution of the Earth’s climate and the extent of the alteration of flow regimes. Climate change impact assessment in the water sector typically involves a modelling chain in which a hydrological model is needed to generate hydrologic projections from climate forcings. Considering the inherent uncertainty of the future climate, it is crucial to assess the performance of the hydrologic model over a wide range of clima

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Cisty, Milan, and Lubomir Celar. "Using R in Water Resources Education." International Journal for Innovation Education and Research 3, no. 10 (2015): 97–116. http://dx.doi.org/10.31686/ijier.vol3.iss10.451.

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This review paper will deal with the possibilities of applying the R programming language in water resources and hydrologic applications in education and research. The objective of this paper is to present some features and packages that make R a powerful environment for analysing data from the hydrology and water resources management fields, hydrological modelling, the post processing of the results of such modelling, and other task. R is maintained by statistical programmers with the support of an increasing community of users from many different backgrounds, including hydrologists, which al

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Stella, Juan M., and Glenn S. Warner. "Modelling a hydrologic Black-Box." Tecnología y ciencias del agua 09, no. 1 (2018): 101–12. http://dx.doi.org/10.24850/j-tyca-2018-01-07.

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Tiwari, K. N., P. Kumar, M. Sebastian, and D. K. Pal. "Hydrologic modelling for runoff determination." International Journal of Water Resources Development 7, no. 3 (1991): 178–84. http://dx.doi.org/10.1080/07900629108722510.

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Noor, Hamzeh, Mahdi Vafakhah, Masoud Taheriyoun, and Mahnoosh Moghadasi. "Hydrology modelling in Taleghan mountainous watershed using SWAT." Journal of Water and Land Development 20, no. 1 (2014): 11–18. http://dx.doi.org/10.2478/jwld-2014-0003.

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Abstract Mountainous regions in Iran are important sources of surface water supply and groundwater recharge. Therefore, accurate simulation of hydrologic processes in mountains at large scales is important for water resource management and for watershed management planning. Snow hydrology is the more important hydrologic process in mountainous watersheds. Therefore, streamflow simulation in mountainous watersheds is often challenging because of irregular topography and complex hydrological processes. In this study, the Soil and Water Assessment Tool (SWAT) was used to model daily runoff in the

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Cranmer, A. J., N. Kouwen, and S. F. Mousavi. "Proving WATFLOOD: modelling the nonlinearities of hydrologic response to storm intensities." Canadian Journal of Civil Engineering 28, no. 5 (2001): 837–55. http://dx.doi.org/10.1139/l01-049.

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This paper examines the effects of modelling the nonlinearities of hydrologic response to various storm intensities. Radar rainfall data, remotely sensed land use and land cover data, measured streamflows, and meteorological data were incorporated into the distributed flood forecasting model WATFLOOD to synthesize runoff hydrographs for three significant warm weather rainfall events occurring in 1995. The watershed selected for study was the 288 km2 Duffins Creek drainage basin in southern Ontario. The effects of scaling radar rainfall amounts to match regional storm intensities on the synthes

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Haberlandt, U. "From hydrological modelling to decision support." Advances in Geosciences 27 (August 23, 2010): 11–19. http://dx.doi.org/10.5194/adgeo-27-11-2010.

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Abstract. Decision support for planning and management of water resources needs to consider many target criteria simultaneously like water availability, water quality, flood protection, agriculture, ecology, etc. Hydrologic models provide information about the water balance components and are fundamental for the simulation of ecological processes. Objective of this contribution is to discuss the suitability of classical hydrologic models on one hand and of complex eco-hydrologic models on the other hand to be used as part of decision support systems. The discussion is based on results from two

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Banda, Vincent Dzulani, Rimuka Bloodless Dzwairo, Sudhir Kumar Singh, and Thokozani Kanyerere. "Hydrological Modelling and Climate Adaptation under Changing Climate: A Review with a Focus in Sub-Saharan Africa." Water 14, no. 24 (2022): 4031. http://dx.doi.org/10.3390/w14244031.

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Empirical evidence continues to show that climate change remains a threat to the stability of the hydrologic system. As the climate system interacts with the hydrologic cycle, one significant repercussion of global warming includes changes in water availability at both regional and local scales. Climate change adaptation is intrinsically difficult to attain due to the dynamic earth system and lack of a comprehensive understanding of future climate and its associated uncertainties. Mostly in developing countries, climate adaptation is hampered by scarcity of good quality and adequate hydro-mete

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Gunathilake, Miyuru B., Chamaka Karunanayake, Anura S. Gunathilake, et al. "Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka." Applied Computational Intelligence and Soft Computing 2021 (May 27, 2021): 1–9. http://dx.doi.org/10.1155/2021/6683389.

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Accurate streamflow estimations are essential for planning and decision-making of many development activities related to water resources. Hydrological modelling is a frequently adopted and a matured technique to simulate streamflow compared to the data driven models such as artificial neural networks (ANNs). In addition, usage of ANNs is minimum to simulate streamflow in the context of Sri Lanka. Therefore, this study presents an intercomparison between streamflow estimations from conventional hydrological modelling and ANN analysis for Seethawaka River Basin located in the upstream part of th

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Cecílio, Roberto Avelino, Wesley Augusto Campanharo, Sidney Sara Zanetti, Amanda Tan Lehr, and Alessandra Cunha Lopes. "Hydrological modelling of tropical watersheds under low data availability." Research, Society and Development 9, no. 5 (2020): e100953262. http://dx.doi.org/10.33448/rsd-v9i5.3262.

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Hydrologic simulation is an important tool for the planning and management of water resources. However, the lack of input data, particularly soil and climate data, frequently complicates the application of hydrological models in Brazilian Atlantic Rainforest basins. The purpose of this study was to analyse the application of the VIC model, under the condition of low data availability, to predict the daily streamflow of two basins (Jucu and Santa Maria da Vitória). The results showed satisfactory statistical indexes only for the Santa Maria da Vitória basin. Due to data limitations and the simp

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Dissertations / Theses on the topic "Hydrologic modelling"

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Romero, David R. "Hydrologic modelling on the Saint Esprit watershed." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ64442.pdf.

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Schell, George Stewart. "The application of radar measured rainfall to hydrologic modelling /." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=59250.

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The capability of radar measured rainfall to enhance the simulation of storm hydrographs was assessed. Six rainfall events which occurred in 1986 and 1987 over an 8.13 km$ sp2$ agricultural watershed in south-western Quebec were used in model simulations. Radar measured rainfall rates were calibrated using measurements from a single tipping-bucket raingauge located at the study site.<br>A deterministic, event-based model, HYMO, was used to simulate streamflow using radar and gauge measured rainfall. The model utilized two rainfall abstraction techniques, i.e. the SCS Curve Number method and th

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Brown, Laura J. "Hydrologic modelling of the Mfuli watershed in Zululand, South Africa." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ55658.pdf.

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Westerberg, Ida. "Utveckling och tillämpning av en GIS-baserad hydrologisk modell." Thesis, Uppsala University, Department of Earth Sciences, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-88880.

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<p>A distributed hydrological rainfall-runoff model has been developed using a GIS integrated with a dynamic programming module (PCRaster). The model has been developed within the framework of the EU-project TWINBAS at IVL Swedish Environmental Research Institute, and is intended for use in WATSHMAN – a tool for watershed management developed at IVL. The model simulates runoff from a catchment based on daily mean values of temperature and precipitation. The GIS input data consist of maps with soil type, land-use, lakes, rivers and a digital elevation model. The model is a hybrid between a conc

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Said, Md Azlin b. Md. "Water resources modelling using remotely sensed data." Thesis, Cardiff University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.340765.

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Wyss, Jonathan David. "Hydrologic modelling of New England River basins using radar rainfall data." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/27961.

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Tian, Ying. "Macro-scale flow modelling of the Mekong River with spatial variance." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38027781.

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Tarawneh, E. "Robust hydrologic modelling for land and water management in data-scarce environments." Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3012299/.

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This study proposes a pre-calibration approach using the Soil and Water Assessment Tool (SWAT) to quantitatively assess variability in model performance derived from input data sources in data-scarce dryland environment (the Wala catchment, Jordan 1743 km2). Eighteen scenarios combining different local and global land-use, soil and weather datasets (1979 - 2002) are constructed. Model outputs are statistically assessed against observed discharge and empirically-derived sediment load using r2, Nash-Sutcliffe efficiency (NSE), root mean square error standard deviation ratio (RSR) and percent bia

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Brasington, James. "Monitoring and modelling hydrologic response and sediment yield in heterogeneous highland catchments." Thesis, University of Cambridge, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.624641.

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Kern, Jennifer M. "Modelling hydrologic system change in a paraglacial catchment in the Northern Rocky Mountains." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/103778.

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The Northern Rocky Mountains, home to the highest concentration of glaciers in the American West, are undergoing increased rates of climate warming, resulting in previously unseen ecological and hydrological outcomes. Globally, many glacier basins have experienced glacial recession to the threshold point of surpassing peak basin runoff, resulting in substantial decreases in local hydrological yield. Such findings call for models that do not alone examine glacial runoff but a complete examination of changes in the water budget. Alpine catchments are increasingly vulnerable to evapotranspirative

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Books on the topic "Hydrologic modelling"

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Timbadiya, P. V., P. L. Patel, Vijay P. Singh, and Priyank J. Sharma, eds. Hydrology and Hydrologic Modelling. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9147-9.

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D, Kalma Jetse, and Sivapalan Murugesu, eds. Scale issues in hydrological modelling. Wiley, 1995.

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Rousseau, Alain, Stéphane Savary, Renaud Quilbé, and Sébastien Tremblay. Development of an integrated modelling framework for evaluating beneficial management practices: Hydrologic modelling in Bras d'Henri watershed, BH, Quebec, and development of the GIBSI Integrated, Economic-Hydrologic, Modelling System. Centre Eau, terre et environnement, Institut national de la recherche scientifique, 2007.

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Ladislav, Kašpárek, ed. Water resources of the Intra-Sudeten Basin: Results of the Czech-Polish co-operation in monitoring and modelling (1975-2004). Ministry of the Environment of the Czech Republic, 2006.

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Soil hydrology, land use and agriculture: Measurement and modelling. CABI, 2011.

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Boer, M. Assessment of dryland degradation: Linking theory and practice through site water balance modelling. Koninklijk Nederlands Aardrijkskundig Genootschap/Faculteit Ruimtelijke Wetenschappen Universiteit Utrecht, 1999.

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7

Howard, Wheater, Sorooshian Soroosh, and Sharma K. D. 1950-, eds. Hydrological modelling in arid and semi-arid areas. Cambridge University Press, 2008.

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Howard, Wheater, Sorooshian Soroosh, and Sharma K. D. 1950-, eds. Hydrological modelling in arid and semi-arid areas. Cambridge University Press, 2008.

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9

Xu, Wei-Lin, Tian-Qi Ao, and Xin-Hua Zhang. Hydrological modelling and integrated water resources management in ungauged mountainous watersheds. IAHS, 2009.

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Workshop, on Hydrologic and Environmental Modelling in the Mekong Basin (2000 Phnom Penh Cambodia). Proceedings of the Workshop on Hydrologic and Environmental Modelling in the Mekong Basin. Technical Support Division, Mekong River Commission, 2000.

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Book chapters on the topic "Hydrologic modelling"

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Fuchs, L. "Hydrologic Modelling of Urban Catchments." In Hydroinformatics Tools for Planning, Design, Operation and Rehabilitation of Sewer Systems. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-017-1818-9_10.

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Howard, Charles D. D., and Brian Bradley. "Data Needs for Modelling Flood Frequency." In Precipitation Analysis for Hydrologic Modeling. American Geophysical Union, 2013. http://dx.doi.org/10.1029/sp004p0279.

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Patra, Jagadish Prasad, Rakesh Kumar, and Pankaj Mani. "Hydrologic and Hydraulic Modelling of a Bridge." In Hydrological Modeling. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_24.

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Machiwal, Deepesh, and Madan Kumar Jha. "Stochastic Modelling of Time Series." In Hydrologic Time Series Analysis: Theory and Practice. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-1861-6_5.

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Rudra, R. P., W. T. Dickinson, and R. K. Gupta. "Hydrologic Modelling Acknowledging Spatial Variations of Hydraulic Conductivity." In Water Science and Technology Library. Springer Netherlands, 1996. http://dx.doi.org/10.1007/978-94-011-0391-6_2.

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Paul, An Rose, and Subrahmanya Kundapura. "Hydrologic Modelling of Flash Floods and Their Effects." In Lecture Notes in Civil Engineering. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6828-2_51.

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de Roo, Ad, Victor Jetten, Cees Wesseling, and Coen Ritsema. "LISEM: A Physically-Based Hydrologic and Soil Erosion Catchment Model." In Modelling Soil Erosion by Water. Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/978-3-642-58913-3_32.

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Mandal, Sujit, and Subrata Mondal. "Geomorphic, Geo-tectonic and Hydrologic Attributes and Landslide Susceptibility." In Geoinformatics and Modelling of Landslide Susceptibility and Risk. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-10495-5_2.

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DeBarry, Paul A., Gerald W. Longenecker, and Ryan Burrows. "Implementation of GIS and Hydrologic/Hydraulic Modelling for Integrated Floodplain/Stormwater Management." In New Trends in Urban Drainage Modelling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_79.

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Tzoraki, O., V. Papadoulakis, A. Christodoulou, et al. "Hydrologic modelling of a complex hydrogeologic basin: Evrotas River Basin." In Advances in the Research of Aquatic Environment. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19902-8_20.

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Conference papers on the topic "Hydrologic modelling"

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"Hydrologic model parameter optimisation." 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.c2.cohen.

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Hohaia, Nick, Elizabeth Fassman, William F. Hunt, and Kelly A. Collins. "Hydraulic and Hydrologic Modelling of Permeable Pavement." In World Environmental and Water Resources Congress 2011. American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41173(414)61.

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Murray, Titus, and William L. Power. "Conceptual Framework for Hydrologic Modelling of Faults." In PESA Symposium Qld 2022. PESA, 2022. http://dx.doi.org/10.36404/lmyz2214.

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Unconventional oil and gas developments may require considering the potential hydrological impacts of faults on near-surface groundwater assets. It is vital that faults are represented appropriately. There are several examples where faults have been invoked as part of “Straw Man” arguments to oppose development (Currell et. al. 2017 and Iverach et. al. 2020). The processes of dewatering and hydraulic fracture stimulation may generate preferential pathways for flow that impact aquifers and groundwater dependant ecosystems. As part of this, a clear framework for the assessment of the impact of f

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Sidek, Lariyah, Ibrahim Al-Ani, Laith Jabbar, Hidayah Basri, and Nadhir Al-Ansari. "Rainfall-Runoff Modelling for Kenyir Watershed using HEC-HMS Hydrologic Model." In 4th International Conference on Architectural & Civil Engineering Sciences. Cihan University-Erbil, 2023. http://dx.doi.org/10.24086/icace2022/paper.888.

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Dam failure due to extreme runoff events can cause major impact to human lives and property. In order to protect the life and property downstream of Kenyir catchment in Malaysia, this research aimed to estimate Probable Maximum Flood (PMF) using the Hydrological Model HEC-HMS version 4.8 accompanied with the Geographic Information System (ArcGIS). The methods adopted herein includes the collection of historical meteorological data and process it using Hershfield’s statistics for generating the Probable Maximum Precipitation (PMP). Results indicate that there are very good and good matching for

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Ramachandra, T. V., Nupur Nagar, S. Vinay, and Bharath H. Aithal. "Modelling hydrologic regime of Lakshmanatirtha watershed, Cauvery river." In 2014 IEEE Global Humanitarian Technology Conference - South Asia Satellite (GHTC-SAS). IEEE, 2014. http://dx.doi.org/10.1109/ghtc-sas.2014.6967560.

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"Building an agro-hydrologic model of Europe: model calibration issues." 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.l2.abbaspour.

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"Does where you plant trees make a difference in hydrologic response?" In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.e12.cook.

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"Seasonal Streamflow Forecasting with a workflow-based dynamic hydrologic modelling approach." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.e12.laugesen.

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"Integrated modelling of forest growth and hydrologic processes for forest management." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.yang393.

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"Analysis of South Korean basin hydrologic cycle using structural equation model." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.song333.

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Reports on the topic "Hydrologic modelling"

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Frey, S., G. Stonebridge, S. Berg, et al. Applications of a regional-scale integrated modelling platform towards watershed-level hydrologic insights. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2019. http://dx.doi.org/10.4095/313583.

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Cole, C. R. Evaluation and status report on HYDROCOIN at midway (HYDROCOIN: An international project for studying groundwater hydrology modelling strategies). Office of Scientific and Technical Information (OSTI), 1986. http://dx.doi.org/10.2172/6926527.

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331871.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model develo

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de Vries, Sander C. WFLOW_LINTUL: raster-based simulation of rice growth in the WFLOW/OpenStreams hydrological modelling platform : user manual and description of core model code. Wageningen Research (WR) business unit Agrosystems Research, 2018. http://dx.doi.org/10.18174/461276.

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Shrestha, A. B., A. K. Gosain, and S. Rao. Modelling Climate Change Impact on the Hydrology of the Eastern Himalayas; Climate Change Impact and Vulnerability in the Eastern Himalayas - Technical Report 4. International Centre for Integrated Mountain Development (ICIMOD), 2010. http://dx.doi.org/10.53055/icimod.534.

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Shrestha, A. B., A. K. Gosain, and S. Rao. Modelling Climate Change Impact on the Hydrology of the Eastern Himalayas; Climate Change Impact and Vulnerability in the Eastern Himalayas - Technical Report 4. International Centre for Integrated Mountain Development (ICIMOD), 2010. http://dx.doi.org/10.53055/icimod.534.

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Annual Mekong Hydrology, Flood and Drought Report 2018. Mekong River Commission Secretariat, 2020. http://dx.doi.org/10.52107/mrc.ajg3u4.

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The report will replaces the Annual Mekong Flood Report to provide an annual summary on different hydrological subjects, ranging from flood, hydrology, and drought recognition to monitoring and early warning, remote sensing, modelling, and water management.

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The Modelling the Flow of the Mekong. Mekong River Commission Secretariat, 2009. http://dx.doi.org/10.52107/mrc.ajhz5z.

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