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Relevant bibliographies by topics / Distributed hydrological models

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Academic literature on the topic 'Distributed hydrological models'

Author: Grafiati

Published: 4 June 2021

Last updated: 5 February 2022

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Journal articles on the topic "Distributed hydrological models"

1

Anderson, M. G., and C. C. M. Rogers. "Catchment scale distributed hydrological models." Progress in Physical Geography: Earth and Environment 11, no. 1 (March 1987): 28–51. http://dx.doi.org/10.1177/030913338701100102.

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Rushworth, Alastair M., Adrian W. Bowman, Mark J. Brewer, and Simon J. Langan. "Distributed Lag Models for Hydrological Data." Biometrics 69, no. 2 (February 14, 2013): 537–44. http://dx.doi.org/10.1111/biom.12008.

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YAO, Huaxia, Michio HASHINO, Akira TERAKAWA, and Toshiro SUZUKI. "COMPARISON OF DISTRIBUTED AND LUMPED HYDROLOGICAL MODELS." PROCEEDINGS OF HYDRAULIC ENGINEERING 42 (1998): 163–68. http://dx.doi.org/10.2208/prohe.42.163.

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Refsgaard, Jens Christian. "Parameterisation, calibration and validation of distributed hydrological models." Journal of Hydrology 198, no. 1-4 (November 1997): 69–97. http://dx.doi.org/10.1016/s0022-1694(96)03329-x.

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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 (June 3, 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 well as the difficulty in monitoring artificial influences are all sources of potential inconsistency. Less studied but as important, distributed hydrological models, given their capability of capturing both the temporal and spatial dimensions of the water balance and runoff generation, are suitable tools to identify potential deficiencies in, and reliability of, input data. Three heavily modified catchments in the East of England such as the Ely Ouse, the Witham, and the Black Sluice have been considered, all of which have issues of data scarcity and uncertainty. This paper demonstrates not only the benefits of fully distributed modelling in addressing data availability issues but also in its use as a catchment-wide data validation tool that serves to maximise the potential of limited data and contributes to improved basin representation.

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Xin, Zhuohang, Ke Shi, Chenchen Wu, Lu Wang, and Lei Ye. "Applicability of Hydrological Models for Flash Flood Simulation in Small Catchments of Hilly Area in China." Open Geosciences 11, no. 1 (December 31, 2019): 1168–81. http://dx.doi.org/10.1515/geo-2019-0089.

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Abstract Flash flood in small catchments of hilly area is an extremely complicated nonlinear process affected by catchment properties and rainfall spatio-temporal variation characteristics including many physical-geographical factors, and thus accurate simulation of flash flood is very difficult. Given the fact that hundreds of hydrological models are available in the literature, how to choose a suitable hydrological model remains an unsolved task. In this paper, we selected five widely used hydrological models including three lumped hydrologic models, a semi-distributed hydrological model and a distributed hydrological model for flash flood simulation, and studied their applicability in fourteen typical catchments in hilly areas across China. The results show that the HEC-HMS distributed hydrological model outperforms the other models and is suitable to simulate the flash floods caused by highly intense rainfall. The Dahuofang model (lumped) has higher precision in peak runoff time simulation. However, its performance is quite poor on the flood volume simulation in the small catchments characterized by intense vegetation coverage and highly developed stream network. The Antecedent precipitation index and Xinanjiang models (lumped) can obtain good simulation results in small humid catchments as long as long-term historical precipitation and runoff data are provided. The TOPMODEL also shows good performance in small humid catchments, but it is unable to simulate the flash floods characterized by the rapid rise and recession. Our results could be very beneficial in practice, since these provide a solid foundation in the selection of hydrological model for flash flood simulation in small catchments in hilly area.

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Jin, Xin, and Yanxiang Jin. "Calibration of a Distributed Hydrological Model in a Data-Scarce Basin Based on GLEAM Datasets." Water 12, no. 3 (March 22, 2020): 897. http://dx.doi.org/10.3390/w12030897.

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The calibration of hydrological models is often complex in regions with scarce data, and generally only uses site-based streamflow data. However, this approach will yield highly generalised values for all model parameters and hydrological processes. It is therefore necessary to obtain more spatially heterogeneous observation data (e.g., satellite-based evapotranspiration (ET)) to calibrate such hydrological models. Here, soil and water assessment tool (SWAT) models were built to evaluate the advantages of using ET data derived from the Global Land surface Evaporation Amsterdam Methodology (GLEAM) to calibrate the models for the Bayinhe River basin in northwest China, which is a typical data-scarce basin. The result revealed the following: (1) A great effort was required to calibrate the SWAT models for the study area to obtain an improved model performance. (2) The SWAT model performance for simulating the streamflow and water balance was reliable when calibrated with streamflow only, but this method of calibration grouped the hydrological processes together and caused an equifinality issue. (3) The combination of the streamflow and GLEAM-based ET data for calibrating the SWAT model improved the model performance for simulating the streamflow and water balance. However, the equifinality issue remained at the hydrologic response unit (HRU) level.

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Liu, Junzhi, A.-Xing Zhu, Cheng-Zhi Qin, Hui Wu, and Jingchao Jiang. "A two-level parallelization method for distributed hydrological models." Environmental Modelling & Software 80 (June 2016): 175–84. http://dx.doi.org/10.1016/j.envsoft.2016.02.032.

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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 (December 1, 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 algorithm. WaSiM is a fully distributed hydrological model using physically based algorithms for most of the process descriptions. WaSiM was applied to the alpine/prealpine Ammer River catchment (southern Germany, 710 km2) in a 100×100 m2 horizontal resolution. The catchment is heterogeneous in terms of geology, pedology and land use and shows a complex orography (the difference of elevation is around 1600 m). Using the developed PEST-WaSiM interface, the hydrological model was calibrated by comparing simulated and observed runoff at eight gauges for the hydrologic year 1997 and validated for the hydrologic year 1993. For each sub-catchment four parameters had to be calibrated: the recession constants of direct runoff and interflow, the drainage density, and the hydraulic conductivity of the uppermost aquifer. Additionally, five snowmelt specific parameters were adjusted for the entire catchment. Altogether, 37 parameters had to be calibrated. Additional a priori information (e.g. from flood hydrograph analysis) narrowed the parameter space of the solutions and improved the non-uniqueness of the fitted values. A reasonable quality of fit was achieved. Discrepancies between modelled and observed runoff were also due to the small number of meteorological stations and corresponding interpolation artefacts in the orographically complex terrain. A detailed covariance analysis was performed allowing to derive confidence bounds for all estimated parameters. The correlation between the estimated parameters was in most cases negligible, showing that parameters were estimated independently from each other.

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Qin, Fangling, Ying Zhu, Tianqi Ao, and Ting Chen. "The Development Trend and Research Frontiers of Distributed Hydrological Models—Visual Bibliometric Analysis Based on Citespace." Water 13, no. 2 (January 13, 2021): 174. http://dx.doi.org/10.3390/w13020174.

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Based on the bibliometric and data visualization analysis software Citespace, this study carried out document statistics and information mining on the Web of Science database and characterized the distributed hydrological model knowledge system from 1986 to 2019. The results show a few things: (1) from 1986 to 2019, the United States and China accounted for 41% of the total amount of publications, and they were the main force in the field of distributed hydrological model research; (2) field research involves multiple disciplines, mainly covering water resources, geology, earth sciences, environmental sciences, ecology and engineering; (3) the frontier of field research has shifted from using distributed hydrological models in order to simulate runoff and nonpoint source environmental responses to the coupling of technologies and products that can obtain high-precision, high-resolution data with distributed hydrological models. (4) Affected by climate warming, the melting of glaciers has accelerated, and the spatial distribution of permafrost and water resources have changed, which has caused a non-negligible impact on the hydrological process. Therefore, the development of distributed hydrological models suitable for alpine regions and the response of hydrological processes to climate change have also become important research directions at present.

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Dissertations / Theses on the topic "Distributed hydrological models"

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Rogers, C. "Further development of distributed hydrological models with reference to the Institute of Hydrology distributed model." Thesis, University of Bristol, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.373726.

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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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Susilo, Gatot Eko. "A comparison of distributed hydrological models for the Boreal forest of northern Manitoba." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0019/MQ53232.pdf.

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Younger, Philip M. "High resolution numerical weather prediction, distributed hydrological models and uncertainty - towards a unified approach." Thesis, Lancaster University, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.507280.

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VanWerkhoven, Curtis. "Performance assessment of short-term hydrological forecasts in small, coastal watersheds with complex terrain using fully-distributed hydrological and meteorological models." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/54586.

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Accurate and reliable short-term streamflow forecast systems are beneficial for non-storage hydroelectric operators to minimize costs associated with foregoing electricity market opportunities because of held reserves due to forecast error and those making decisions based on flood risks. Accurate real-time forecasting on hourly and daily intervals with lead times less than three days remains a challenge in small, coastal, mountainous watersheds of the Pacific Northwest. This thesis examines a real-time streamflow forecasting system in which a physically-based, fully-distributed coupled MIKE SHE/MIKE 11 hydrologic model is driven by the distributed output of a 1.3 km gridded high-resolution numerical weather prediction (NWP) model. The model performance in simulating hydrological processes is evaluated in the model calibration and validation phases, and the forecast accuracy and reliability is evaluated in the forecast verification phase. Both performance evaluations are completed with graphical and statistical techniques based on a wide range of statistical metrics. In addition to the performance, the forecast skill is evaluated relative to alternative reference forecasts including persistence and historical climatological forecasts. The hydrologic model and forecasting system are applied to the Coquitlam River above Coquitlam Lake watershed located in the coastal mountains of southwestern British Columbia, Canada. The hydro-climate regime in the watershed is pluvio-nival, flashy, and with negligible glacier melt. High flows have a bi-modal distribution, characterized by high flows in May and June due to snowmelt and in fall (November) due to Pacific frontal systems that can bring significant precipitation. The MIKE SHE/MIKE 11 model performs well during the model calibration and validation phases, demonstrating accuracy and reliability in simulating the hydrological processes in the watershed with a one year calibration period. In addition, the forecast system provides a reliable forecast for hourly and daily mean streamflow with considerable forecast skill in comparison to reference forecasts for lead times of one to three days. MIKE SHE/MIKE 11 is demonstrated as a suitable fully-distributed, physically-based model for river forecasts based on high-resolution NWP models, and that there is the opportunity for short-term forecast skill in small, mountainous, Pacific Northwest watersheds with limited observed data.
Applied Science, Faculty of
Civil Engineering, Department of
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Sood, Aditya. "Integrated watershed management as an effective tool for sustainable development using distributed hydrological models in policy making /." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 190 p, 2009. http://proquest.umi.com/pqdweb?did=1833621281&sid=2&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Souza, Rávila Marques de. "Modelo hidrológico distribuído unidimensional para bacias hidrográficas peri-urbanas." Universidade Federal de Goiás, 2014. http://repositorio.bc.ufg.br/tede/handle/tde/2965.

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Submitted by Erika Demachki (erikademachki@gmail.com) on 2014-08-29T15:51:26Z No. of bitstreams: 2 Dissertação_pós_defesa.pdf: 13484145 bytes, checksum: d45c9d8ffd66532d7cea17f178e2fe9c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5)
Made available in DSpace on 2014-08-29T15:51:26Z (GMT). No. of bitstreams: 2 Dissertação_pós_defesa.pdf: 13484145 bytes, checksum: d45c9d8ffd66532d7cea17f178e2fe9c (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2014-04-30
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES
This study aimed to develop and calibrate a distributed hydrological model used for a one-dimensional drainage of a peri-urban catchment using the optimization multi-objective method Non -dominated Sorting Genetic Algorithm (NSGA - II) for model calibration. Computational algorithms developed in MATLAB environment were adopted to make this study possible. This model allows a precipitation event to set the surface runoff hydrograph at any position of the watershed (planes or channels) regarding infiltration effect and soil physical characteristics. Objective functions were defined and used simultaneously to calibrate the model. From sensitivity analysis performed, it was found that the model is more affected by the parameters related to permeable areas. The model fit was very good, illustrating the applicability of multi-objective calibration in exploring ideal area and to obtain ideal solutions. Validation proved the efficiency of the model used for other different rainfall events in Samambaia stream basin, generating outputs with good accuracy and optimal theoretical value results for Nash & Sutcliffe coefficients of efficiency near the area region.
O presente trabalho propôs desenvolver e calibrar um modelo hidrológico distribuído unidimensional aplicado a drenagem de uma bacia hidrográfica peri-urbana utilizando o método de otimização multi-objetivo Non-dominated Sorting Genetic Algorithm (NSGA-II) para a calibração do modelo. Para tornar possível a realização deste trabalho foram adotadas rotinas computacionais desenvolvidas em ambiente MATLAB. O modelo desenvolvido permite, para um evento de precipitação, determinar o hidrograma de escoamento superficial em qualquer posição da bacia hidrográfica (planos ou canais) considerando o efeito da infiltração e das características físicas do solo. Foram definidas funções objetivo e aplicadas simultaneamente na calibração do modelo. Da análise de sensibilidade realizada, verificou-se que o modelo é mais impactado pelos parâmetros relativos às áreas permeáveis. O ajuste do modelo foi muito bom, ilustrando a aplicabilidade da calibração multi-objetivo em explorar a região ideal e obter soluções ideais. A validação comprovou a eficiência do modelo, aplicada a outros eventos chuvosos diferentes ocorridos na bacia do córrego Samamabaia, gerando saídas com acurácia satisfatória e resultados para os coeficientes de eficiência Nash & Sutcliffe próximos à região do valor ótimo teórico.

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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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Zhang, Xuesong. "Evaluating and developing parameter optimization and uncertainty analysis methods for a computationally intensive distributed hydrological model." [College Station, Tex. : Texas A&M University, 2008. http://hdl.handle.net/1969.1/ETD-TAMU-3091.

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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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Books on the topic "Distributed hydrological models"

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Schuurmans, J. M. Hydrological now- and forecasting: Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Utrecht: Royal Dutch Geographical Society, 2008.

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Hydrological now- and forecasting: Integration of operationally available remotely sensed and forecasted hydrometeorological variables into distributed hydrological models. Utrecht: Royal Dutch Geographical Society, 2008.

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Distributed hydrologic modeling using GIS. Dordrecht: Kluwer Academic Publishers, 2001.

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Patterson, J. Pitman. Integration of a distributed hydrologic model, TOPMODEL, with an ecosystem process model, FOREST-BGC. Ottawa: National Library of Canada = Bibliothèque nationale du Canada, 1991.

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Aragón, Carlos A. Development and testing of a semi-distributed watershed model: Case studies exploring the impact of climate variability and change in the Rio Salado. Las Cruces, N.M: New Mexico Water Resources Research Institute, New Mexico State University, 2008.

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

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Rosso, R., A. Peano, and I. Becchi. Advances in Distributed Hydrology: Selected Papers from International Workshop by Ismes. Water Resources Pubns, 1994.

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Renzo, Rosso, Istituto sperimentale modelli e strutture (Bergamo, Italy), and International Workshop on Advances in Distributed Hydrology (1992 : Bergamo, Italy), eds. Advances in distributed hydrology: Selected papers from the international workshop : Bergamo, Italy, June 25-26, 1992. Highlands Ranch, Colo: Water Resources Publications, 1994.

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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. Wallingford, Oxfordshire, UK: International Association of Hydrological Science, 2003.

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Vieux, Baxter E. Distributed Hydrologic Modeling Using GIS. Springer, 2018.

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Book chapters on the topic "Distributed hydrological models"

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Chen, Yangbo. "Distributed Hydrological Models." In Handbook of Hydrometeorological Ensemble Forecasting, 1–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-642-40457-3_23-1.

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Chen, Yangbo. "Distributed Hydrological Models." In Handbook of Hydrometeorological Ensemble Forecasting, 413–36. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-642-39925-1_23.

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Refsgaard, J. C., and B. Storm. "Construction, Calibration And Validation of Hydrological Models." In Distributed Hydrological Modelling, 41–54. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0257-2_3.

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Volk, G. "Application of Spatially Distributed Hydrological Models for Risk Assessment in Headwater Regions." In Environmental Reconstruction in Headwater Areas, 93–102. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-011-4134-5_8.

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Branger, Flora, Sonja Jankowfsky, Olivier Vannier, Pierre Viallet, Samuel Debionne, and Isabelle Braud. "Use of Open-Source GIS for the Pre-processing of Distributed Hydrological Models." In Lecture Notes in Geoinformation and Cartography, 35–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-10595-1_3.

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Sreedevi, S., A. Kunnath-Poovakka, and T. I. Eldho. "Comparison of Conceptual and Distributed Hydrological Models for Runoff Estimation in a River Basin." In The Ganga River Basin: A Hydrometeorological Approach, 135–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60869-9_9.

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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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Caporali, Enrica. "A Distributed Hydrological Model of Flash-Floods." In Coping With Flash Floods, 203–18. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-010-0918-8_20.

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Amorocho, J., and J. J. Devries. "A Convective Precipitation Model for Distributed Catchment Simulation." In Precipitation Analysis for Hydrologic Modeling, 248–58. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/sp004p0248.

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Becchi, Ignazio, Enrica Caporali, and Elena Palmisano. "Hydrological Response to Radar Rainfall Maps through a Distributed Model." In Advances in Natural and Technological Hazards Research, 95–108. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-0976-5_6.

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Conference papers on the topic "Distributed hydrological models"

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Cibin Raj, Sudheer K.P, and Chaubey I. "Global Sensitivity Analysis of Distributed Hydrological Models." In 2008 Providence, Rhode Island, June 29 - July 2, 2008. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2008. http://dx.doi.org/10.13031/2013.24984.

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Liu, Yuanpei, Shixiong Hu, and Peiyuan Li. "Applications of GIS and RS in distributed hydrological models." In 2013 21st International Conference on Geoinformatics. IEEE, 2013. http://dx.doi.org/10.1109/geoinformatics.2013.6626148.

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Laiolo, Paola, Simone Gabellani, Lorenzo Campo, Luca Cenci, Francesco Silvestro, Fabio Delogu, Giorgio Boni, Roberto Rudari, Silvia Puca, and Anna Rita Pisani. "Assimilation of remote sensing observations into a continuous distributed hydrological model: Impacts on the hydrologic cycle." In IGARSS 2015 - 2015 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2015. http://dx.doi.org/10.1109/igarss.2015.7326015.

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Chen, Xing, Zhongbo Yu, and Guangbai Cui. "Hydrologic Simulation With a Distributed Hydrologic Model." In 2008 Fourth International Conference on Natural Computation. IEEE, 2008. http://dx.doi.org/10.1109/icnc.2008.510.

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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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Meselhe, E. A., E. Habib, O. C. Oche, and S. Gautam. "Performance Evaluation of Physically Based Distributed Hydrologic Models and Lumped Hydrologic Models." In World Water and Environmental Resources Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40737(2004)211.

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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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Abstract:

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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Jourdan, Mark R., and Fred L. Ogden. "Hybrid Hydrologic Modeling: Conceptual Groundwater Model Coupled to a Distributed Hydrologic Model." In World Water and Environmental Resources Congress 2003. Reston, VA: American Society of Civil Engineers, 2003. http://dx.doi.org/10.1061/40685(2003)210.

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Zheng, Dapeng, Jinkang Du, Hanyi Rui, and Qian Li. "Development of a distributed hydrological model based on MapWinGIS." In 2011 19th International Conference on Geoinformatics. IEEE, 2011. http://dx.doi.org/10.1109/geoinformatics.2011.5981195.

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Chen, Yangbo. "SIMULATING FLOOD OF MAOZHOU WATERSHED WITH DISTRIBUTED HYDROLOGICAL MODEL." In 17th International Multidisciplinary Scientific GeoConference SGEM2017. Stef92 Technology, 2017. http://dx.doi.org/10.5593/sgem2017/31/s12.074.

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Reports on the topic "Distributed hydrological models"

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Saghafian, Bahram. Implementation of a Distributed Hydrologic Model within Geographic Resources Analysis Support System (GRASS). Fort Belvoir, VA: Defense Technical Information Center, January 1996. http://dx.doi.org/10.21236/ada348892.

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2

Graves, David. An Assessment of the Impacts of Climate Change on the Upper Clackamas River Basin with a Distributed Hydrologic Model. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2429.

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