Relevant bibliographies by topics / Hydrological model

Academic literature on the topic 'Hydrological model'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Hydrological model"

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Visser-Quinn, Annie, Lindsay Beevers, and Sandhya Patidar. "Replication of ecologically relevant hydrological indicators following a modified covariance approach to hydrological model parameterization." Hydrology and Earth System Sciences 23, no. 8 (August 9, 2019): 3279–303. http://dx.doi.org/10.5194/hess-23-3279-2019.

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Abstract. Hydrological models can be used to assess the impact of hydrologic alteration on the river ecosystem. However, there are considerable limitations and uncertainties associated with the replication of ecologically relevant hydrological indicators. Vogel and Sankarasubramanian's 2003 (Water Resources Research) covariance approach to model evaluation and parameterization represents a shift away from algorithmic model calibration with traditional performance measures (objective functions). Using the covariance structures of the observed input and simulated output time series, it is possible to assess whether the selected hydrological model is able to capture the relevant underlying processes. From this plausible parameter space, the region of parameter space which best captures (replicates) the characteristics of a hydrological indicator may be identified. In this study, a modified covariance approach is applied to five hydrologically diverse case study catchments with a view to replicating a suite of ecologically relevant hydrological indicators identified through catchment-specific hydroecological models. The identification of the plausible parameter space (here n≈20) is based on the statistical importance of these indicators. Evaluation is with respect to performance and consistency across each catchment, parameter set, and the 40 ecologically relevant hydrological indicators considered. Timing and rate of change indicators are the best and worst replicated respectively. Relative to previous studies, an overall improvement in consistency is observed. This study represents an important advancement towards the robust application of hydrological models for ecological flow studies.
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Liu, Yue, Jian-yun Zhang, Amgad Elmahdi, Qin-li Yang, Xiao-xiang Guan, Cui-shan Liu, Rui-min He, and Guo-qing Wang. "Transferability of a lumped hydrologic model, the Xin'anjiang model based on similarity in climate and geography." Water Supply 21, no. 5 (February 25, 2021): 2191–201. http://dx.doi.org/10.2166/ws.2021.055.

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Abstract Hydrological experiments are essential to understanding the hydrological cycles and promoting the development of hydrologic models. Model parameter transfers provide a new way of doing hydrological forecasts and simulations in ungauged catchments. To study the transferability of model parameters for hydrological modelling and the influence of parameter transfers on hydrological simulations, the Xin'anjiang model (XAJ model), which is a lumped hydrologic model based on a saturation excess mechanism that has been widely applied in different climate regions of the world, was applied to a low hilly catchment in eastern China, the Chengxi experimental watershed (CXEW). The suitability of the XAJ model was tested in the eastern branch catchment of CXEW and the calibrated model parameters of the eastern branch catchment were then transferred to the western branch catchment and the entire watershed of the CXEW. The results show that the XAJ model performs well for the calibrated eastern branch catchment at both daily and monthly scales on hydrological modelling with the NSEs over 0.6 and the REs less than 2.0%. Besides, the uncalibrated catchments of the western branch catchment and the entire watershed of the CSEW share similarities in climate (the precipitation) and geography (the soil texture and vegetation cover) with the calibrated catchment, the XAJ model and the transferred model parameters can capture the main features of the hydrological processes in both uncalibrated catchments (western catchments and the entire watershed). This transferability of the model is useful for a scarce data region to simulate the hydrological process and its forecasting.
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Chadalawada, Jayashree, and Vladan Babovic. "Review and comparison of performance indices for automatic model induction." Journal of Hydroinformatics 21, no. 1 (December 6, 2017): 13–31. http://dx.doi.org/10.2166/hydro.2017.078.

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Abstract One of the more perplexing challenges for the hydrologic research community is the need for development of coupled systems involving integration of hydrologic, atmospheric and socio-economic relationships. Given the demand for integrated modelling and availability of enormous data with varying degrees of (un)certainty, there exists growing popularity of data-driven, unified theory catchment scale hydrological modelling frameworks. Recent research focuses on representation of distinct hydrological processes using mathematical model components that vary in a controlled manner, thereby deriving relationships between alternative conceptual model constructs and catchments’ behaviour. With increasing computational power, an evolutionary approach to auto-configuration of conceptual hydrological models is gaining importance. Its successful implementation depends on the choice of evolutionary algorithm, inventory of model components, numerical implementation, rules of operation and fitness functions. In this study, genetic programming is used as an example of evolutionary algorithm that employs modelling decisions inspired by the Superflex framework to automatically induce optimal model configurations for the given catchment dataset. The main objective of this paper is to identify the effects of entropy, hydrological and statistical measures as optimization objectives on the performance of the proposed approach based on two synthetic case studies of varying complexity.
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Zheng, Zhen, Jing Zhang, Hui Li Gong, and J. W. Huang. "Application of MIKESHE Model in Water Environmental Management for Guishui River Basin." Applied Mechanics and Materials 580-583 (July 2014): 1823–27. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.1823.

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In order to comprehensively analyse hydrological environment system of watershed, it is particularly important to couple the surface water and groundwater for better underding the entire hydrologic cycle. Guishui river basin, located in Beijing, was selected as the research area to build a MIKE SHE hydrological integrated model to simulate the surface runoff. The hydrologic response in the Guishui river basin was explored. This study will enrich the experience of the domestic application about MIKESHE model and provided scientific basis for regional water resources planning and management. In the paper, the development process and present research situation of integrated hydrological models were overviewed, concluding the principle of model structure. Considering the water environment issues in the study area (such as water pollution, water resource utilization, watershed underlying surface, climate change, etc.), the integrated hydrological model was setup based on MIKESHE for the simulation year of 2005 to 2010. The preliminary results showed that it is feasibile to apply the MIKESHE model in the study area for water environmental management. Furthermore, some valued suggestions and perspectives about the water environmental problems in the study for the future were provided.
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Nordin, N. A. S., Z. Hassan, N. M. Noor, A. N. Kamarudzaman, and A. S. A. Ahmadni. "Assessing Hydrological Response in the Timah-Tasoh Reservoir Sub-Catchments: Calibration and Validation using the HEC-HMS Model." IOP Conference Series: Earth and Environmental Science 1303, no. 1 (February 1, 2024): 012029. http://dx.doi.org/10.1088/1755-1315/1303/1/012029.

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Abstract Hydrological modelling is a tool that is frequently used for assessing the hydrological response of a basin as a result of precipitation. It is also a vital component as water resources and environmental planning management. The study deals with calibrating and validating the hydrological response in the sub-catchments of the Timah-Tasoh reservoir using the hydrological model named Hydrologic Engineering Center – Hydrologic Modelling System (HEC-HMS). This study uses the SCS Curve Number, the SCS Unit Hydrograph, the constant monthly baseflow, and lag routing for the model development. The model was simulated for ten (10) years for calibration and nine (9) years for validation. The model calibration and validation efficiency were assessed using the coefficient of correlation (R). The findings show that the HEC-HMS model performs satisfactorily in simulating the observed daily inflow series, with the R-value of 0.4902-0.5139 during calibration and 0.5047-0.5559 during validation process. Thus, the result obtained from this study can be used as a preliminary development of hydrological modelling of the catchment of the Timah-Tasoh reservoir and can be used for extend application such as water inflow forecasting, impact of land use to the reservoir and others.
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Toum, Ezequiel, Mariano,H Masiokas, Ricardo Villalba, Pierre Pitte, and Lucas Ruiz. "The HBV.IANIGLA Hydrological Model." R Journal 13, no. 1 (2021): 378. http://dx.doi.org/10.32614/rj-2021-059.

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Assaf, Hamed, and Michael C. Quick. "Updating hydrological model forecasts." Canadian Journal of Civil Engineering 18, no. 4 (August 1, 1991): 663–74. http://dx.doi.org/10.1139/l91-081.

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A flow updating model is presented in which the flow is estimated using outputs from a physically based watershed model (UBC watershed model) and a feedback of the most recent flow measurement. These outputs (the flow components) are modified by certain parameters that are updated whenever a flow measurement is available. The updating process is based on a state-space model where Kalman filter technique is used to update the parameters from their past values and the most recent flow measurement. The extent of updating is controlled by the relative uncertainties in the flow measurements and the parameters. The updating model has been applied on the Illecilewaet basin and the flow forecasts have shown great improvement over the ones obtained by using the UBC watershed model only. The flow updating model is formulated based on an assumption that the errors in the watershed model output are of a certain linear structure. The validity of such assumption could be tested by comparing some statistical measures of performance. Key words: real-time, flow forecasting, updating, Kalman filter, state-space, linear errors.
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Di Salvo, Cristina. "Groundwater Hydrological Model Simulation." Water 15, no. 4 (February 20, 2023): 822. http://dx.doi.org/10.3390/w15040822.

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Xiao, Qintai, Li Zhou, Xin Xiang, Lingxue Liu, Xing Liu, Xiaodong Li, and Tianqi Ao. "Integration of Hydrological Model and Time Series Model for Improving the Runoff Simulation: A Case Study on BTOP Model in Zhou River Basin, China." Applied Sciences 12, no. 14 (July 7, 2022): 6883. http://dx.doi.org/10.3390/app12146883.

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Improving the accuracy of runoff simulations is a significant focus of hydrological science for multiple purposes such as water resources management, flood and drought prediction, and water environment protection. However, the simulated runoff has limitations that cannot be eliminated. This paper proposes a method that integrates the hydrological and time series models to improve the reliability and accuracy of simulated runoffs. Specifically, the block-wise use of TOPMODEL (BTOP) is integrated with three time series models to improve the simulated runoff from a hydrological model of the Zhou River Basin, China. Unlike most previous research that has not addressed the influence of runoff patterns while correcting the runoff, this study manually adds the hydrologic cycle to the machine learning-based time series model. This also incorporates scenario-specific knowledge from the researcher’s area of expertise into the prediction model. The results show that the improved Prophet model proposed in this study, that is, by adjusting its holiday function to a flow function, significantly improved the Nash–Sutcliffe efficiency (NSE) of the simulated runoff by 53.47% (highest) and 23.93% (average). The autoregressive integrated moving average (ARIMA) model and long short-term memory (LSTM) improved the runoff but performed less well than the improved Prophet model. This paper presents an effective method to improve the runoff simulation by integrating the hydrological and time series models.
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Krzeminska, D. M., T. A. Bogaard, J. P. Malet, and L. P. H. van Beek. "A model of hydrological and mechanical feedbacks of preferential fissure flow in a slow-moving landslide." Hydrology and Earth System Sciences 17, no. 3 (March 5, 2013): 947–59. http://dx.doi.org/10.5194/hess-17-947-2013.

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Abstract. The importance of hydrological processes for landslide activity is generally accepted. However, the relationship between precipitation, hydrological responses and movement is not straightforward. Groundwater recharge is mostly controlled by the hydrological material properties and the structure (e.g., layering, preferential flow paths such as fissures) of the unsaturated zone. In slow-moving landslides, differential displacements caused by the bedrock structure complicate the hydrological regime due to continuous opening and closing of the fissures, creating temporary preferential flow paths systems for infiltration and groundwater drainage. The consecutive opening and closing of fissure aperture control the formation of a critical pore water pressure by creating dynamic preferential flow paths for infiltration and groundwater drainage. This interaction may explain the seasonal nature of the slow-moving landslide activity, including the often observed shifts and delays in hydrological responses when compared to timing, intensity and duration of precipitation. The main objective of this study is to model the influence of fissures on the hydrological dynamics of slow-moving landslide and the dynamic feedbacks between fissures, hydrology and slope stability. For this we adapt the spatially distributed hydrological and slope stability model (STARWARS) to account for geotechnical and hydrological feedbacks, linking between hydrological response of the landside and the dynamics of the fissure network and applied the model to the hydrologically controlled Super-Sauze landslide (South French Alps).
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Dissertations / Theses on the topic "Hydrological model"

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Mölders, Nicole. "Concepts for coupling hydrological and meteorological models." Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-215597.

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Earth system modeling, climate modeling, water resource research as well as integrated modeling (e.g., climate impact studies) require the coupling of hydrological and meteorological models. The paper presents recent concepts on such a coupling. It points out the difficulties to be solved, and provides a brief overview on recently realized couplings. Furthermore, a concept of a hydrometeorological module to couple hydrological and meteorological models is introduced
Wasserresourcenforschung, Erdsystem- und Klimamodellierung sowie integrierte Modellierung (z.B. Klimafolgenforschung) erfordern das Koppeln von hydrologischen und meteorologischen Modellen. Dieser Artikel präsentiert Konzepte für eine solche Kopplung. Er zeigt die zu lösenden Schwierigkeiten auf und gibt einen kurzen Überblick über bisher realisierte Kopplungen. Ferner stellt er ein Konzept für einen hydrometeorologischen Moduls zur Kopplung von hydrologischen mit meteorologischen Modellen vor
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Mölders, Nicole. "Concepts for coupling hydrological and meteorological models." Wissenschaftliche Mitteilungen des Leipziger Instituts für Meteorologie ; 22 = Meteorologische Arbeiten aus Leipzig ; 6 (2001), S. 1-15, 2001. https://ul.qucosa.de/id/qucosa%3A14140.

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Earth system modeling, climate modeling, water resource research as well as integrated modeling (e.g., climate impact studies) require the coupling of hydrological and meteorological models. The paper presents recent concepts on such a coupling. It points out the difficulties to be solved, and provides a brief overview on recently realized couplings. Furthermore, a concept of a hydrometeorological module to couple hydrological and meteorological models is introduced.
Wasserresourcenforschung, Erdsystem- und Klimamodellierung sowie integrierte Modellierung (z.B. Klimafolgenforschung) erfordern das Koppeln von hydrologischen und meteorologischen Modellen. Dieser Artikel präsentiert Konzepte für eine solche Kopplung. Er zeigt die zu lösenden Schwierigkeiten auf und gibt einen kurzen Überblick über bisher realisierte Kopplungen. Ferner stellt er ein Konzept für einen hydrometeorologischen Moduls zur Kopplung von hydrologischen mit meteorologischen Modellen vor.
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Abdulla, Fayez Ahmad. "Regionalization of a macroscale hydrological model /." Thesis, Connect to this title online; UW restricted, 1995. http://hdl.handle.net/1773/10151.

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Reusser, Dominik, Theresa Blume, Bettina Schaefli, and Erwin Zehe. "Analysing the temporal dynamics of model performance for hydrological models." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2010/4511/.

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The temporal dynamics of hydrological model performance gives insights into errors that cannot be obtained from global performance measures assigning a single number to the fit of a simulated time series to an observed reference series. These errors can include errors in data, model parameters, or model structure. Dealing with a set of performance measures evaluated at a high temporal resolution implies analyzing and interpreting a high dimensional data set. This paper presents a method for such a hydrological model performance assessment with a high temporal resolution and illustrates its application for two very different rainfall-runoff modeling case studies. The first is the Wilde Weisseritz case study, a headwater catchment in the eastern Ore Mountains, simulated with the conceptual model WaSiM-ETH. The second is the Malalcahuello case study, a headwater catchment in the Chilean Andes, simulated with the physicsbased model Catflow. The proposed time-resolved performance assessment starts with the computation of a large set of classically used performance measures for a moving window. The key of the developed approach is a data-reduction method based on self-organizing maps (SOMs) and cluster analysis to classify the high-dimensional performance matrix. Synthetic peak errors are used to interpret the resulting error classes. The final outcome of the proposed method is a time series of the occurrence of dominant error types. For the two case studies analyzed here, 6 such error types have been identified. They show clear temporal patterns, which can lead to the identification of model structural errors.
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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 precipitation, variable fresh snow density, maximum snowpack density, canopy interception and snow-covered area (SCA). The first four of these processes were based on similar work done by Fassnacht (2000) on a watershed in Southern Ontario. In the case of this thesis, the work was completed on a basin in Northern Manitoba. A theory of the relationship between snow-covered area and average snow depth was developed and an algorithm was developed to implement this theory in WATCLASS. Of the five snow processes considered, mixed precipitation was found to have the greatest impact on streamflow while the new canopy interception algorithm was found to have the greatest impact on sensible and latent heat fluxes. The development of a new relationship between SCA and average snow depth was found to have a minimal impact in one study case, but a significant impact on the sensible and latent heat fluxes when snow fell on a pack that had begun to melt and was partially free of snow. Further study of these snow processes in land-surface-hydrologic models is recommended.
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Kim, JongKwan. "The Calibration and Uncertainty Evaluation of Spatially Distributed Hydrological." DigitalCommons@USU, 2013. https://digitalcommons.usu.edu/etd/1437.

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In the last decade, spatially distributed hydrological models have rapidly advanced with the widespread availability of remotely sensed and geomatics information. Particularly, the areas of calibration and evaluation of spatially distributed hydrological models have been attempted in order to reduce the differences between models and improve realism through various techniques. Despite steady efforts, the study of calibrations and evaluations for spatially distributed hydrological models is still a largely unexplored field, in that there is no research in terms of the interactions of snow and water balance components with the traditional measurement methods as error functions. As one of the factors related to runoff, melting snow is important, especially in mountainous regions with heavy snowfall; however, no study considering both snow and water components simultaneously has investigated the procedures of calibration and evaluation for spatially distributed models. Additionally, novel approaches of error functions would be needed to reflect the characteristics of spatially distributed hydrological models in the comparison between simulated and observed values. Lastly, the shift from lumped model calibration to distributed model calibration has raised the model complexity. The number of unknown parameters can rapidly increase, depending on the degree of distribution. Therefore, a strategy is required to determine the optimal degree of model distributions for a study basin. In this study, we will attempt to address the issues raised above. This study utilizes the Research Distributed Hydrological Model (HL-RDHM) developed by Hydrologic Development Office of the National Weather Service (OHD-NWS). This model simultaneously simulates both snow and water balance components. It consists largely of two different modules, i.e., the Snow 17 as a snow component and the Sacramento Soil Moisture Accounting (SAC-SMA) as a water component, and is applied over the Durango River basin in Colorado, which is an area driven primarily by snow. As its main contribution, this research develops and tests various methods to calibrate and evaluate spatially distributed hydrological models with different, non-commensurate, variables and measurements. Additionally, this research provides guidance on the way to decide an appropriate degree of model distribution (resolution) for a specific water catchment.
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Picco, Robert C. "A comparative study of flow forecasting in the Humber River Basin using a deterministic hydrologic model and a dynamic regression statistical model." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp01/MQ34219.pdf.

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Howes, S. "A mathematical hydrological model for the ungauged catchment." Thesis, University of Bristol, 1985. http://hdl.handle.net/1983/1affdf54-f3d2-4dbe-83b0-836695ef0c8e.

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In geographical hydrology the~e has been more interest in scientific rather than in practical application of mathematical models of catchment hydrology. This thesis emphasizes the importance of examining the potential of developments in scientific research programmes for practical hydrological applications, and in particular provides discussion upon the following five issues: 1 The application of hydrological models to ungauged catchments where no historical streamflow record is available for calibration. 2 The potential of hydrological models for routine and operational application. This application limits the data and computer resources which are available for use. 3 The development and application of a thorough model evaluation strategy which examines the suitability of a model in the context of a specific application requirement. 4 The selection of a conceptually sound model structure. S The development and evaluation of a suitable methodology for the incorporation of the spatial variability of catchments into hydrological" models. To provide a basis for the discussion of these five issues, this thesis provides the details of the modification of a currently used hydrological model, RYMO. The modification of this model involves the replacement of the empirical curve number model for runoff derivation with a physically based parameter infiltration model. A number of comparisons of HYMO and the modified version, HYM02, indicates that conceptual, parameter estimation, prediction, and sensitivity improvements have indeed been secured by the development of the modified model.
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Ishak, Asnor Muizan. "Hydrological simulation aided by numerical weather prediction model." Thesis, University of Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.559471.

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In many water resources and hydrological projects, it is not always possible to get access to in-situ long-term time series weather measurements, especially for ungauged catchments. Even with gauged catchments, it is common that only rain gauge and river level data are available; other weather variables such as solar radiation, wind speed, surface temperature, surface air pressure and relative humidity are usually missing and if available are generally not in continuous form. These weather variables are basic building blocks of the global hydrological cycle that includes evapotranspiration (ET 0) and runoff estimation. The ET 0 and runoff can be estimated from the Penman-Monteith equation and rainfall runoff modeling respectively. This thesis explored a potential application of downscaled global reanalysis weather data using Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model 5 (MMS). MMS is able to downscale the global weather data down to a much finer resolution in space and time for use in local hydrological investigations. The exploration of downscaling the ERA-40 reanalysis data to the Brue catchment in Southwest England and the assessment of the relevant weather variables in comparison with those measured at the ground was described in the thesis. However, there is a problem in using these selected weather variables in hydrological processes due to uncertainties obtained from the mesoscale modelling. Therefore, this thesis focused on the improvement of the weather variables from the dynamical downscaling and statistical modeling. The improvement of dynamic downscaling with the MMS cumulus parameterization schemes (CPSs) by changing the horizontal and vertical resolutions are presented in this thesis for rainfall estimation. Meanwhile, the error correction with statistical models is an attempt to hybridize MMS with two regression models ( the multiple linear regression (MLR) and the nonlinear regression (NLR)) and two artificial intelligence systems (the artificial neural networks (ANNs) and the support vector machines (SVMs)). This exploration is to tackle the errors between the MMS downscaled and observed data in addition to other MMS derived hydro- meteorological parameters. The hold-out validation with a forward selection method was employed as an input variable selection procedure to examine the model generalization errors in these statistical models. Upon the implementation of the error correction technique of weather variables, a comparative study of runoff simulation via the PDM model was completed between the MMS downscaled, corrected and observed data. This thesis also presents a sensitivity analysis of six weather variables to ET 0 estimation and runoff simulation through various combinations of the Penrnan-Monteith equation and Probability Distributed Model (PDM}inputs. Finally, by this assessment of several case studies in this thesis, it has shown that the enhanced MMS modeling scheme with the correction approaches substantially improves the forecasted weather variables over the study area which is important for the hydrological processes.
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Tjia, Dewi. "Statistical Methods for History Matching of Hydrological Model." Thesis, Curtin University, 2016. http://hdl.handle.net/20.500.11937/57347.

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Four history matching methods were used to calibrate the parameters of the LUCICAT model for three catchments in Western Australia. The methods used were ant colony optimization (ACOR and DACOR), Robust Parameter Estimation and Gauss Levenberg Marquadt. These methods were applied directly and indirectly, and in the latter case multidimensional Kriging and artificial neural networks were used to build proxy models for LUCICAT. All HM methods performed favourably well.
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Books on the topic "Hydrological model"

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G, Anderson M., and Bates Paul D, eds. Model validation: Perspectives in hydrological science. Chichester: J. Wiley, 2001.

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Ward, R. C. The catchwater drain experimental catchment: FORTRAN listing of a hydrological model. [Hull]: Dept. of Geography, University of Hull, 1986.

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Libý, Josef. Model investigations of the improvement of navigations conditions on the lower Elbe (Labe) between Střekov anf Prostřední Žleb. Prague: Výzkumný ústav vodohospodářský T.G. Masaryka, 2002.

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Ward, R. C. The catchwater drain experimental catchment: FORTRAN listing of a hydrological model. Hull: Department of Geography, University of Hull, 1986.

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T, Scott Carl, and Geological Survey (U.S.), eds. Operating manual for the U.S. Geological Survey minimonitor: Punched-paper-tape model. Stennis Space Center, Miss: Dept. of the Interior, U.S. Geological Survey, 1988.

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A, Matthews David. Nested model simulations of regional orographic precipition. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, 1997.

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A, Matthews David. Nested model simulations of regional orographic precipitation. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Technical Service Center, 1997.

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Hoekstra, Arjen Y. Perspectives on water: An integrated model-based exploration of the future. Utrecht, Netherlands: International Books, 1998.

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Evans, Darryn Andrew. Development of a conceptual model of the soil-moisture-plant sub-system of the hydrological cycle. Birmingham: Aston University. Department of Civil Engineering, 1990., 1990.

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Evans, Darryn Andrew. Development of a conceptual model of the soil-moisture plant sub-system of the hydrological cycle. Birmingham: Aston University. Department of Civil Engineering, 1990.

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Book chapters on the topic "Hydrological model"

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Tiwari, H. L., Arun Goel, A. K. Sharma, and Ankit Balvanshi. "Performance Improvement of Usbr VI Stilling Basin Model for Pipe Outlet." In Hydrological Modeling, 1–8. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_1.

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Kachhwaha, Vishal, and P. L. Patel. "Integrated Hydrological and Hydraulic Model for Prediction of Inflows into Hathnur Reservoir." In Hydrological Modeling, 437–46. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_33.

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Behera, Pradyumna Kumar, and Thiyam Tampasana Devi. "Study on Impact of Urbanization by SWAT Model in Iril River, Northeast India." In Hydrological Modeling, 385–93. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_29.

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Tikariha, Yashvant Kumar, and Ishtiyaq Ahmad. "Estimation and Management of Irrigation Water Using WEAP Model in Tandula Reservoir Command Area." In Hydrological Modeling, 423–35. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_32.

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Verma, S., Sachin, and K. C. Patra. "Dam Break Flow Simulation Model for Preparing Emergency Action Plans for Bargi Dam Failure." In Hydrological Modeling, 271–86. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_21.

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Khaki, Mehdi. "Hydrologic Model." In Satellite Remote Sensing in Hydrological Data Assimilation, 13–15. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37375-7_3.

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Refsgaard, J. C. "Terminology, Modelling Protocol And Classification of Hydrological Model Codes." In Distributed Hydrological Modelling, 17–39. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_2.

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Kumar, Lalit, and Ramakar Jha. "Forecasting Standardized Precipitation Index Using Wavelet-Coupled MARS and SVM Model in Punpun River Sub-Basin (Bihar), India." In Hydrological Modeling, 241–57. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-81358-1_19.

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Montagna, Paul A., Terence A. Palmer, and Jennifer Beseres Pollack. "Conceptual Model of Estuary Ecosystems." In Hydrological Changes and Estuarine Dynamics, 5–21. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5833-3_2.

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Remesan, Renji, and Jimson Mathew. "Model Data Selection and Data Pre-processing Approaches." In Hydrological Data Driven Modelling, 41–70. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09235-5_3.

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Conference papers on the topic "Hydrological model"

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Knoppová, Kateřina, Daniel Marton, and Petr Štěpánek. "APPLICATION OF RAINFALL-RUNOFF MODEL: CLIMATE CHANGE IMPACTS ON RESERVOIR INFLOW." In XXVII Conference of the Danubian Countries on Hydrological Forecasting and Hydrological Bases of Water Management. Nika-Tsentr, 2020. http://dx.doi.org/10.15407/uhmi.conference.01.11.

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The impacts of climate change are beginning to be felt in the Czech Republic. In recent years, we were challenging a dry period, which threatens to continue affecting Czech economy, agriculture and personal comfort of local people. The need to adapt to climate change is obvious. The groundwater resources are in continuous decline, consequently, the surface water supplies are increasing in importance. How would the quantity of available water change in the future? How much water would we be able to store within the year to manage it during the dry seasons? Rainfall-runoff models enable us to simulate future changes in hydrological conditions based on climate projections. One of such tools is Runoff Prophet, the conceptual lumped model being developed at the Institute of Landscape Water Management at Brno University of Technology. It is used to simulate time series of monthly river flow in a catchment outlet without the need to describe the morphological characteristics of the catchment. Runoff Prophet produced good results of calibration and proved its suitability for conceptual hydrological modelling in variable hydrological conditions of the Czech Republic. The aim of the paper was to assess the possible impact of climate change on future inflow into Vír I. Reservoir, one of the drinking water resources for Brno, a city of 380 000 inhabitants. The recently developed software Runoff Prophet was used to simulate future river flow time series. The model was calibrated on the catchment of gauging station Dalečín on Svratka River as the reservoir inflow. Prognoses of future river flow were performed using climate scenarios prepared by Global Change Research Institute of Czech Academy of Sciences. These scenarios (RCP types) are based on the outcomes from different regional climate models of Euro-CORDEX initiative. Characteristics of possible future air temperature and precipitation in the basin were evaluated in terms of its impact on reservoir management. The results of hydrological modelling gave the perspective of expected changes in Vír I. inflow yield. The options of using Vír I. Reservoir as a drinking water supply for Brno in coming decades were assessed.
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GRINFELDE, Inga, and Anda BAKUTE. "THE LOCAL PARAMETERS SENSITIVITY OF URBAN HYDROLOGICAL RESPONSE UNIT OF CONCEPTUAL HYDROLOGICAL MODEL METQ." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.075.

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The urbanised areas have a significant impact on hydrological processes of the catchment. The average annual urbanisation temp in EU is 0.6%. The existing version of conceptual hydrological model METQ is developed for natural hydrological response units such as forests, swamps and agricultural land. The growing urbanisation level force to add to the model urban hydrological response unit. This study aims to analyse local parameter sensitivity of urban hydrological response unit of conceptual hydrological model METQ. The local sensitivity was made using Monte-Carlo simulations. To evaluate local sensitivity Nash–Sutcliffe efficiency index (NSE), determination coefficient R2, percent bias (PBIAS), ratios the root mean square error to the standard deviation of measured data (RSR) in addition to the graphical method were used. The results show seven parameters to be calibrated the other 16 parameters have to stay as constant values for urban hydrological response unit.
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Heydari, Salimeh Malekpour, Teh Noranis Mohd Aris, Razali Yaakob, and Hazlina Hamdan. "Hydrological Modeling of Murray River Basin Using The Hydrological Simulation Program-FORTRAN Model." In 2019 IEEE 7th Conference on Systems, Process and Control (ICSPC). IEEE, 2019. http://dx.doi.org/10.1109/icspc47137.2019.9068009.

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Wang, Yuzhuo, Wei Zhang, and Xiuguo Liu. "Hydrological watersheds model researching based on digital elevation model." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567929.

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Grinfelde, Inga, and Anda Bakute. "The urban hydrological response unit parameters calibration and verification for conceptual hydrological model METQ." In 16th International Scientific Conference Engineering for Rural Development. Latvia University of Agriculture, 2017. http://dx.doi.org/10.22616/erdev2017.16.n236.

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Zhou, Zhen-min, and Xue-chao Wang. "Distributed Hydrological Model Based on Topography Trend." In 2010 International Conference on E-Product E-Service and E-Entertainment (ICEEE 2010). IEEE, 2010. http://dx.doi.org/10.1109/iceee.2010.5660618.

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Matheussen, Bernt Viggo, and Sveinn T. Thorolfsson. "Risvollan Urban Hydrological Model (RUHM) - Preliminary Results." In Ninth International Conference on Urban Drainage (9ICUD). Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40644(2002)123.

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Kjeldsen, T. R., and D. A. Jones. "Recursive Estimation of a Hydrological Regression Model." In World Environmental and Water Resources Congress 2007. Reston, VA: American Society of Civil Engineers, 2007. http://dx.doi.org/10.1061/40927(243)408.

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Loboda, N. S., and Y. V. Bozhok. "APPLICATION OF THE «CLIMATE-RUNOFF» MODEL TO THE ASSESSMENT OF THE DANUBE RIVER BASIN WATER RESOURCES IN THE XXI CENTURY ACCORDING TO THE CLIMATE SCENARIOS (A1B)." In XXVII Conference of the Danubian Countries on Hydrological Forecasting and Hydrological Bases of Water Management. Nika-Tsentr, 2020. http://dx.doi.org/10.15407/uhmi.conference.01.12.

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The results of calculations of possible state of water resources within The Danube River in the XXI century were shown. This estimation was based on the model «climate-runoff», developed in Odessa State Environmental University. As the input to model data of climate scenario A1B (model REMO) were used. Average long-term annual flow values using meteorological data (air temperature and precipitation) from the scenario for different climatic periods of XXI century were calculated. 32 points (grid nodes) which were uniformly distributed over the catchment area of The Danube River were studied. Projection of changes in water resources was given by comparing the calculation results in the past (before 1989) and in the future (1990-2030, 2031-2070, 2071-2100). The major trends in climatic factors of the flow formation and water resources were established. It is shown that the climatic conditions in the XXI century on the Danube River catchment is unfavorable for the formation of runoff. The positive component of the water balance (precipitation) remains unchanged and the negative component (evaporation) increases. Isolines of norms of climatic annual flow within the whole basin were constructed. It is established that by 2030 a significant reduction of water resources will not occur; during the 2031-2070 diminution will be 17,9%; during the 2071-2100 – 22,0%. Thus, in the XXI century, changes in the water resources of the Danube will not be destructive and irreversible.
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Wang, Hui, Jian Wu, Junyu Dong, Xin Sun, Hui Ding, and Jing Zeng. "Combining support vector machine with hydrological model to research the impact of hydrological environment change." In OCEANS 2016 - Shanghai. IEEE, 2016. http://dx.doi.org/10.1109/oceansap.2016.7485499.

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Reports on the topic "Hydrological model"

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Hamill, Daniel D., Jeremy J. Giovando, Chandler S. Engel, Travis A. Dahl, and Michael D. Bartles. Application of a Radiation-Derived Temperature Index Model to the Willow Creek Watershed in Idaho, USA. U.S. Army Engineer Research and Development Center, August 2021. http://dx.doi.org/10.21079/11681/41360.

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The ability to simulate snow accumulation and melting processes is fundamental to developing real-time hydrological models in watersheds with a snowmelt-dominated flow regime. A primary source of uncertainty with this model development approach is the subjectivity related to which historical periods to use and how to combine parameters from multiple calibration events. The Hydrologic Engineering Center, Hydrological Modeling System, has recently implemented a hybrid temperature index (TI) snow module that has not been extensively tested. This study evaluates a radiatative temperature index (RTI) model’s performance relative to the traditional air TI model. The TI model for Willow Creek performed reasonably well in both the calibration and validation years. The results of the RTI calibration and validation simulations resulted in additional questions related to how best to parameterize this snow model. An RTI parameter sensitivity analysis indicates that the choice of calibration years will have a substantial impact on the parameters and thus the streamflow results. Based on the analysis completed in this study, further refinement and verification of the RTI model calculations are required before an objective comparison with the TI model can be completed.
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Blanchard, A. Selection of Hydrological Model for Waterborne Release. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/6113.

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Blanchard, A. Selection of Hydrological Model for Waterborne Release. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/6114.

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Blanchard, A. Selection of Hydrological Model for Waterborne Release. Office of Scientific and Technical Information (OSTI), February 1999. http://dx.doi.org/10.2172/4800.

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Collins, William. Model Hierarchy for Mountainous Hydrological Observatories (MH2O). Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1769748.

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MICHEL, Christin, and Wolfgang-Albert FLÜGEL. Linking Process-Specific Discretization Concepts within a Comprehensive Hydrological Model. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0136.

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Pradhan, Nawa Raj, Charles Wayne Downer, and Sergey Marchenko. User guidelines on catchment hydrological modeling with soil thermal dynamics in Gridded Surface Subsurface Hydrologic Analysis (GSSHA). Engineer Research and Development Center (U.S.), March 2024. http://dx.doi.org/10.21079/11681/48331.

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Climate warming is expected to degrade permafrost in many regions of the world. Degradation of permafrost has the potential to affect soil thermal, hydrological, and vegetation regimes. Projections of long-term effects of climate warming on high-latitude ecosystems require a coupled representation of soil thermal state and hydrological dynamics. Such a coupled framework was developed to explicitly simulate the soil moisture effects of soil thermal conductivity and heat capacity and its effects on hydrological response. In the coupled framework, the Geophysical Institute Permafrost Laboratory (GIPL) model is coupled with the Gridded Surface Subsurface Hydrologic Analysis (GSSHA) model. The new permafrost heat transfer in GSSHA is computed with the GIPL scheme that simulates soil temperature dynamics and the depth of seasonal freezing and thawing by numerically solving a one-dimensional quasilinear heat equation with phase change. All the GIPL input and output parameters and the state variables are set up to be consistent with the GSSHA input-output format and grid distribution data input requirements. Test-case simulated results showed that freezing temperatures reduced soil storage capacity, thereby producing higher peak and lower base flow. The report details the functions and format of required input variables and cards, as a guideline, in GSSHA hydrothermal analysis of frozen soils in permafrost-active areas.
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Skahill, Brian E. Use of the Hydrological Simulation Program - FORTRAN (HSPF) Model for Watershed Studies. Fort Belvoir, VA: Defense Technical Information Center, September 2004. http://dx.doi.org/10.21236/ada434883.

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DeChant, Caleb. Quantifying the Impacts of Initial Condition and Model Uncertainty on Hydrological Forecasts. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1797.

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Zeng, Xubin, Peter Troch, Jon Pelletier, Guo-Yue Niu, and David Gochis. Development of hybrid 3-D hydrological modeling for the NCAR Community Earth System Model (CESM). Office of Scientific and Technical Information (OSTI), November 2015. http://dx.doi.org/10.2172/1227980.

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