Bibliografías temáticas / Semi-distributed hydrological model

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Literatura académica sobre el tema "Semi-distributed hydrological model"

Autor: Grafiati

Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Semi-distributed hydrological model"

Gires, A., I. Tchiguirinskaia, D. Schertzer y S. Lovejoy. "Multifractal analysis of a semi-distributed urban hydrological model". Urban Water Journal 10, n.º 3 (junio de 2013): 195–208. http://dx.doi.org/10.1080/1573062x.2012.716447.

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Halefom, Afera, Ermias Sisay, Deepak Khare, Lakhwinder Singh y Tesfa Worku. "Hydrological modeling of urban catchment using semi-distributed model". Modeling Earth Systems and Environment 3, n.º 2 (13 de mayo de 2017): 683–92. http://dx.doi.org/10.1007/s40808-017-0327-7.

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Khalid, K., M. F. Ali, N. F. Abd Rahman y M. R. Mispan. "Application on One-at-a-Time Sensitivity Analysis of Semi-Distributed Hydrological Model in Tropical Watershed". International Journal of Engineering and Technology 8, n.º 2 (febrero de 2016): 132–36. http://dx.doi.org/10.7763/ijet.2016.v6.872.

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Seibert, Jan, Marc J. P. Vis, Irene Kohn, Markus Weiler y Kerstin Stahl. "Technical note: Representing glacier geometry changes in a semi-distributed hydrological model". Hydrology and Earth System Sciences 22, n.º 4 (9 de abril de 2018): 2211–24. http://dx.doi.org/10.5194/hess-22-2211-2018.

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Abstract. Glaciers play an important role in high-mountain hydrology. While changing glacier areas are considered of highest importance for the understanding of future changes in runoff, glaciers are often only poorly represented in hydrological models. Most importantly, the direct coupling between the simulated glacier mass balances and changing glacier areas needs feasible solutions. The use of a complex glacier model is often not possible due to data and computational limitations. The Δh parameterization is a simple approach to consider the spatial variation of glacier thickness and area changes. Here, we describe a conceptual implementation of the Δh parameterization in the semi-distributed hydrological model HBV-light, which also allows for the representation of glacier advance phases and for comparison between the different versions of the implementation. The coupled glacio-hydrological simulation approach, which could also be implemented in many other semi-distributed hydrological models, is illustrated based on an example application.

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Chen, Jiongfeng, Wanchang Zhang, Junfeng Gao y Kai Cao. "Assimilating multi-site measurements for semi-distributed hydrological model updating". Quaternary International 282 (diciembre de 2012): 122–29. http://dx.doi.org/10.1016/j.quaint.2012.01.030.

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Ghaffar, Salman, Seifeddine Jomaa, Günter Meon y Michael Rode. "Spatial validation of a semi-distributed hydrological nutrient transport model". Journal of Hydrology 593 (febrero de 2021): 125818. http://dx.doi.org/10.1016/j.jhydrol.2020.125818.

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Yao, C., L. Chang, J. Ding, Z. Li, D. An y Y. Zhang. "Evaluation of the effects of underlying surface change on catchment hydrological response using the HEC-HMS model". Proceedings of the International Association of Hydrological Sciences 364 (16 de septiembre de 2014): 145–50. http://dx.doi.org/10.5194/piahs-364-145-2014.

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Abstract. Due to rapid population growth, China, and urbanization, the Dongwan catchment, with a drainage area of 2856 km2 and located in Henan Province, has been subjected to considerable land-use changes since the 1990s. Distributed or semi-distributed models have been widely used in catchment hydrological modeling, along with the rapid development of computer and GIS technologies. The objective of this study is to assess the impact of underlying surface change on catchment hydrological response using the Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS), which is a distributed hydrological model. Specifically, 21 flood events were selected for calibrating and validating the model parameters. The satisfactory results show that the HEC-HMS model can be used to simulate the rainfall–runoff response in the Dongwan catchment. In light of the analyses of simulation results, it is shown that the flood peaks and runoff yields after 1990 moderately decrease in comparison with that before 1990 at the same precipitation level. It is also indicated that the underlying surface change leads to the increased flood storage capacity after 1990 in this region.

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Gautam, Narayan Prasad. "Flow routing with Semi-distributed hydrological model HEC- HMS in case of Narayani River Basin". Journal of the Institute of Engineering 10, n.º 1 (31 de julio de 2014): 45–58. http://dx.doi.org/10.3126/jie.v10i1.10877.

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Routing is the modeling process to determine the outflow at an outlet from given inflow at upstream of the channel. A hydrological simulation model use mathematical equations that establish relationships between inputs and outputs of water system and simulates the catchment response to the rainfall input. Several hydrological models have been developed to assist in understanding of hydrologic system and water resources management. A model, once calibrated and verified on catchments, provides a multi-purpose tool for further analysis. Semi-Distributed models in hydrology are usually physically based in that they are defined in terms of theoretically acceptable continuum equations. They do, however, involve some degree of lumping since analytical solutions to the equations cannot be found, and so approximate numerical solutions, based on a finite difference or finite element discretization of the space and time dimensions, are implemented. Many rivers in Nepal are either ungauged or poorly gauged due to extreme complex terrains, monsoon climate and lack of technical and financial supports. In this context the role of hydrological models are extremely useful. In practical applications, hydrological routing methods are relatively simple to implement reasonably accurate. In this study, Gandaki river basin was taken for the study area. Kinematic wave method was used for overland routing and Muskingum cunge method was applied for channel routing to describe the discharge on Narayani river and peak flow attenuation and dispersion observed in the direct runoff hydrograph. Channel cross section parameters are extracted using HEC- GeoRAS extension tool of GIS. From this study result, Annual runoff, Peak flow and time of peak at the outlet are similar to the observed flow in calibration and verification period using trapezoidal channel. Hence Hydrological modeling is a powerful technique in the planning and development of integrated approach for management of water resources. DOI: http://dx.doi.org/10.3126/jie.v10i1.10877Journal of the Institute of Engineering, Vol. 10, No. 1, 2014 pp. 45-58

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de Lavenne, Alban, Guillaume Thirel, Vazken Andréassian, Charles Perrin y Maria-Helena Ramos. "Spatial variability of the parameters of a semi-distributed hydrological model". Proceedings of the International Association of Hydrological Sciences 373 (12 de mayo de 2016): 87–94. http://dx.doi.org/10.5194/piahs-373-87-2016.

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Abstract. Ideally, semi-distributed hydrologic models should provide better streamflow simulations than lumped models, along with spatially-relevant water resources management solutions. However, the spatial distribution of model parameters raises issues related to the calibration strategy and to the identifiability of the parameters. To analyse these issues, we propose to base the evaluation of a semi-distributed model not only on its performance at streamflow gauging stations, but also on the spatial and temporal pattern of the optimised value of its parameters. We implemented calibration over 21 rolling periods and 64 catchments, and we analysed how well each parameter is identified in time and space. Performance and parameter identifiability are analysed comparatively to the calibration of the lumped version of the same model. We show that the semi-distributed model faces more difficulties to identify stable optimal parameter sets. The main difficulty lies in the identification of the parameters responsible for the closure of the water balance (i.e. for the particular model investigated, the intercatchment groundwater flow parameter).

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Más fuentes

Tesis sobre el tema "Semi-distributed hydrological model"

Santos, Franciane Mendonça dos. "Modelagem concentrada e semi-distribuída para simulação de vazão, produção de sedimentos e de contaminantes em bacias hidrográficas do interior de São Paulo". Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/18/18139/tde-26112018-145857/.

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A escassez de dados hidrológicos no Brasil é um problema recorrente em muitas regiões, principalmente em se tratando de dados hidrométricos, produção de sedimentos e qualidade da água. A pesquisa por modelos de bacias hidrográficas tem aumentado nas últimas décadas, porém, a estimativa de dados hidrossedimentológicos a partir de modelos mais sofisticados demanda de grande número de variáveis, que devem ser ajustadas para cada sistema natural, o que dificulta a sua aplicação. O objetivo principal desta tese foi avaliar diferentes ferramentas de modelagem utilizadas para a estimativa da vazão, produção de sedimentos e qualidade da água e, em particular, comparar os resultados obtidos de um modelo hidrológico físico semi-distribuído, o Soil Water Assessment Tool (SWAT) com os resultados obtidos a partir de modelos hidrológicos concentrados, com base na metodologia do número da curva de escoamento do Soil Conservation Service (SCS-CN) e no modelo Generalized Watershed Loading Function (GWLF). Buscou-se avaliar e apresentar em quais condições o uso de cada modelo deve ser recomendado, ou seja, quando o esforço necessário para executar o modelo semi-distribuído leva a melhores resultados efetivos. Em relação à simulação da vazão, os resultados dos dois modelos foram altamente influenciados pelos dados de precipitação, indicando que existem, possivelmente, falhas ou erros de medição que poderiam ter influenciado negativamente os resultados. Portanto, foi proposto aplicar o modelo semi-distribuído com dados de precipitação interpolados (DPI) de alta resolução para verificar a eficiência de seus resultados em comparação com os resultados obtidos com a utilização dos dados de precipitação observados (DPO). Para simulação da produção de sedimentos, e das concentrações de nitrogênio e fósforo, o SWAT realiza uma simulação hidrológica mais detalhada, portanto, fornece resultados ligeiramente melhores para parâmetros de qualidade da água. O uso do modelo semi-distribuído também foi ampliado para simular uma bacia hidrográfica sob a influência do reservatório, a fim de verificar a potencialidade do modelo para esse propósito. Os modelos também foram aplicados para identificar quais os impactos potenciais das mudanças no uso do solo previstas e em andamento. Os cenários estudados foram: I – cenário atual, II – cenário tendencial, com o aumento da mancha urbana e substituição do solo exposto e de parte da mata nativa por uso agrícola; III – cenário desejável, complementa o crescimento urbano tendencial com aumento de áreas de reflorestamento. As metodologias foram aplicadas em duas bacias hidrográficas localizadas no Sudeste do Brasil. A primeira é a bacia do rio Jacaré-Guaçu, incluída na Unidade de Gerenciamento de Recursos Hídricos 13 (UGRHI-13), a montante da confluência do rio das Cruzes, com uma área de 1934 km2. O segundo caso de estudo, é a bacia do rio Atibaia, inserida na UGRHI-5, tem uma área de 2817,88 km2 e abrange municípios dos estados de São Paulo e Minas Gerais. Como principal conclusão, o desempenho do modelo semi-distribuído para estimar a produção de sedimentos, e as concentrações de nitrogênio e fósforo foi ligeiramente melhor do que as simulações do modelo concentrado SCS-CN e GWLF, mas essa vantagem pode não compensar o esforço adicional de calibrá-lo e validá-lo.
The lack of hydrological data in Brazil is a recurrent problem in many regions, especially in hydrometric data, sediment yield and water quality. The research by simplified models has increased in the last decades, however, the estimation of hydrossedimentological data from these more sophisticated models demands many variables, which must be adjusted for each natural system, which makes it difficult to apply. At times it is necessary to respond quickly without much precision in the results, in these situations, simpler models with few parameters can be the solution. The objective of this research is to evaluate different modelling tools used estimate streamflow, sediments yield and nutrients loads values, and namely to compare the results obtained from a physically-based distributed hydrological model (SWAT) with the results from a lumped hydrological, the Soil Conservation Service (SCS-CN) and the Generalized Watershed Loading Function (GWLF) model. Both models use the curve number (CN) concept, determined from land use, soil hydrologic group and antecedent soil moisture conditions and were run with a daily time step. We are particularly interested in understanding under which conditions the use of each model is to be recommended, namely when does the addition effort required to run the distributed model leads to effective better results. The input variables and parameters of the lumped model are assumed constant throughout the watershed, while the SWAT model performs the hydrological analysis at a small unit level, designated as hydrological response units (HRUs), and integrates the results at a sub-basin level. In relation to the flow simulation, the results of the two models were highly influenced by the rainfall data, indicating that, possibly, faults or measurement errors could have negatively influenced the results. Therefore, it was proposed to apply the distributed model with high-resolution grids of daily precipitation to verify the efficiency of its results when compared to rainfall data. For simulation of sediment, nitrogen and phosphorus, SWAT performs a more detailed simulation and thus provides slightly better results. The use of the SWAT was also extended to simulate the influence of reservoir, in order to verify the potentiality of the model, in relation to the simulation. The models also were used to identify which are potential impacts of the ongoing land use changes. The scenarios were: I - Current scenario, II - trend scenario, with the increase of urban land and replacement of the exposed soil and part of the native forest by agricultural use; III - desirable scenario complements the trend urban growth with the replacement of exposed soil and part of the agricultural use by reforestation. The methodologies were applied on two watersheds located in the Southeast of Brazil. The first one is the Jacaré-Guaçu river basin, included in the Water Resources Management Unit 13 (UGRHI-13), upstream of Cruzes river confluence, with an area of 1934 km2. The second watershed is the Atibaia River Basin, a part of Water Resources Management Unit 5 (UGRHI-5). It has an area of 2817.88 km2 and covers municipalities of the states of São Paulo and Minas Gerais.

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Peredo, Ramirez Daniela. "Quels gains d’une modélisation hydrologique adaptée et d’une approche d’ensemble pour la prévision des crues rapides ?" Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS058.

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La prévision de crues joue un rôle fondamental dans l’anticipation et la mise en œuvre de mesures visant à protéger les personnes et les biens. L’objectif de cette thèse est d’examiner notre capacité à améliorer la simulation et la prévision d’événements majeurs de crues soudaines en France. Premièrement, nous examinons les limites de l’approche globale de modélisation hydrologique et la contribution du modèle hydrologique semi-distribué GRSD, à maillage fin et au pas de temps horaire, à la simulation d’évènements majeurs de crue. Nous proposons une modification de la structure de ce modèle afin qu’il soit mieux adapté à reproduire la réponse des bassins versants aux fortes intensités de pluie. Une adaptation de la structure du modèle, basée sur le calcul du rendement de pluies, a abouti à l’introduction d’un nouveau paramètre et à la proposition d’un nouveau modèle (GRSDi) mieux capable de simuler la réponse hydrologique à des pluies intenses qui surviennent en automne. Deuxièmement, nous explorons comment une approche de prévision d’ensemble météorologique, combinée au modèle hydrologique semi-distribué, peut contribuer à mieux prévoir les évènements de crues rapides, l’amplitude et l’instant d’occurrence des débits de pointe, que ce soit sur des bassins jaugés ou non-jaugés. Les résultats ont permis d’identifier, du point de vue hydrologique, les forces et faiblesses des produits proposés. Les travaux menés constituent un pas en avant vers l’utilisation de modèles hydrologiques conceptuels, continus et semi-distribués, dans le cadre de la prévision de crues majeures et rapides en contexte méditerranéen
Flood forecasting plays a fundamental role in anticipating and implementing measures to protect lives and property. The objective of this thesis is to investigate our ability to improve the simulation and forecasting of major flash flood events in France. First, we analyse the limitations of the lumped hydrological modelling approach, and how the contribution of the semi-distributed hydrological model GRSD, with fine mesh and hourly time step, to improve the simulation of major flood events. We also propose a modification of the structure of the model, in order to make it better suited to reproducing the response of the catchments to high rainfall intensities. An adaptation of the model structure, based on the calculation of the production rate function, resulted in the introduction of a new parameter and the proposal of a new model (GRSDi) capable of better simulating the hydrological response to heavy rains that occur in autumn, after a dry summer period. Second, we explore the ability of a meteorological ensemble prediction approach, combined with the semi-distributed hydrological model, to better predict flash flood events, the amplitude and the time of occurrence of peak flows, whether in gauged or ungauged basins. The results made it possible to identify, from a hydrological point of view, the strengths and weaknesses of the products evaluated. The work carried out constitutes a step forward towards the use of conceptual, continuous and semi-distributed hydrological models for the forecasting of major flood events and flash floods in the Mediterranean context

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Carlile, Paul William. "A semi-distributed catchment hydrology model for simulation of land use change, streamflow and groundwater recharge". Phd thesis, 2007. http://hdl.handle.net/1885/150350.

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Boluwade, Alaba. "Hydrologic modeling and uncertainty analysis of an ungauged watershed using mapwindow-swat". Master's thesis, 2012. http://hdl.handle.net/10362/8334.

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Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies
Modeling of an ungauged watershed with the associated uncertainties of the input data is presented. The MapWindow versions of the Soil and Water Assessment Tool (SWAT) have been applied to a complex and ungauged watershed of about 248,000ha in an area close to the Niger River, Nigeria. The Kwara State Government of Nigeria in collaboration with the newly relocated former Zimbabwean farmers now occupied the largest portion of this watershed for an “Agricultural Estate Initiative ”. The government and these farmers are decision makers who need to take appropriate actions despite little or no data availability. SWAT being a physically based model, allow the use of Geographical Information System (GIS) inputs like the Digital Elevation Model(DEM), landuse and soil maps. The MapWindow-SWAT(MSWAT) involves processes like the Watershed Delineation, Hydrological Response Units (HRUs) Process and the SWAT run. The watershed was delineated into 11 subbasins and 28 HRUs. There were 8 landuse classes and 5 soil types. The model was able to simulate and forecast for several years(1990-2016). The results look 'reasonable' since there is no observed data from the watershed for statistical validation. However, using the Water Balance equation as a validation criteria, the correlation coefficient between the simulated rainfall and runoff was 0.84 for the subbasin 11 (outlet). Thereafter, the uncertainties in the continuous numerical input (i.e. rainfall) was examined using the Data Uncertainty Engine (DUE). One parameter exponential probability model was used for the daily rainfall amount based on the histogram. 700 realizations were generated from this uncertain input. Randomly selected numbers of the realizations were prepared and used as inputs into the MWSWAT model. It was surprising that there were no changes in the results when compared to the initial 'real' value (outflows from outlet) although other parameters of the model were kept constant.

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Libros sobre el tema "Semi-distributed hydrological model"

J, Limbrick K., ed. Assessing the potential impacts of various climate change scenarios on the hydrological regime of the River Kennet at Theale, Berkshire, South-Central England, UK: An application and evaluation of the new semi-distributed model, INCA. Reading, UK: University of Reading, 1999.

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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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Capítulos de libros sobre el tema "Semi-distributed hydrological model"

Saranya, M. S. y Vinish V. Nair. "Evaluation of the Influence of Land Use and Climate Changes in Runoff Simulation Using Semi-Distributed Hydrological Model". En Developments and Applications of Geomatics, 231–43. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8568-5_17.

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Nourani, Vahid, Safa Mokhtarian Asl, Maryam Khosravi Sorkhkolaee, Aida Hosseini Baghanam y Masoud Mehrvand. "Investigating the Impacts of DEM Type, Resolution, and Noise on Extracted Hydro-Geomorphologic Parameters of Watersheds via GIS". En Advances in Geospatial Technologies, 133–75. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5039-6.ch006.

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Water resources management is dependent on knowledge and understanding of water quantity and quality information with the latest developments in information technology such as geographic information system (GIS) to develop effective hydrological modeling within the water-based systems. The efficiency of such hydrological modeling relies on the accuracy of applied data. In this way, the application of low-quality data in developing models for integrated management of water resources can impose irreparable financial and human resources and environmental costs in the catchment area. Thus, in regions that shortage of data is the issue, semi-distributed modeling is a useful tool. In this chapter, three aims are followed: (1) effect of digital elevation model (DEM) type and resolution on extracted hydro-geomorphologic parameters, (2) effect of wavelet-based de-noising method on extracted hydro-geomorphologic parameters, (3) determination of the optimal cell size to extract topographic attributes with good agreement to the real features.

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"Hydrological Similarity, Distribution Functions and Semi-Distributed Rainfall-Runoff Models". En Rainfall-Runoff Modelling, 185–229. Chichester, UK: John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119951001.ch6.

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Actas de conferencias sobre el tema "Semi-distributed hydrological model"

Tcherednichenko, Irina, Luis A. Bastidas y Kevin Lansey. "Model Performance Evaluation Of Distributed Hydrological Modeling For Semi-Arid Regions". En World Water and Environmental Resources Congress 2004. Reston, VA: American Society of Civil Engineers, 2004. http://dx.doi.org/10.1061/40737(2004)15.

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Lamia, Erraioui, Taia Soufiane, Haida Souad, Elmansouri Bouabid, Chao Jamal, Mrabet Souad y Kamal Taj-Eddine. "Semi-Distributed Modeling Of A Large Scale Hydrological System Using SWAT Model". En 2020 IEEE 2nd International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS). IEEE, 2020. http://dx.doi.org/10.1109/icecocs50124.2020.9314540.

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Mendoza Mendoza, Carlos Javier y Juan Cabrera Cabrera. "Development of a Semi-distributed Hydrological Model at daily level using Neural Network". En 21st LACCEI International Multi-Conference for Engineering, Education and Technology (LACCEI 2023): “Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development”. Latin American and Caribbean Consortium of Engineering Institutions, 2023. http://dx.doi.org/10.18687/laccei2023.1.1.914.

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Erturk, Ali, Gokhan Cuceloglu, Alpaslan Ekdal, Mehmet Kalfazade, Salim Yaykiran, Asli Ozabali Sabuncugil, Aysegul Tanik y Izzet Ozturk. "Estimation of Blue and Green Water Potentials of Türkiye under Global Climate Change Effects". En The 2nd International Conference on Civil Infrastructure and Construction. Qatar University Press, 2023. http://dx.doi.org/10.29117/cic.2023.0157.

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This study analyzed the impact of global climate change scenarios on the water resources of Turkiye by means of various climate and hydrological simulations projected for this century. An integrated approach was used by coupling regional climate models and a semi-distributed hydrologic model to assess the climate change impacts. A regional climate model, that is the output of 3 global models (HadGEM2-ES, MPI-ESM-MR and CNRM-CM5.1), has been conducted with RCP4.5 & RCP8.5 emission scenarios for whole the country at the watershed-scale with a resolution of 10x10 km. Hydrological simulations were conducted by using the Soil and Water Assessment Tool (SWAT) Model to determine the variation of surface and groundwater resources based on climate change projections. Blue water flow (water yield + deep aquifer recharges), green water storage (soil water), and water surplus/deficit projections have been conducted considering the current and projected status for water-consuming sectors of domestic, industry, agriculture, and ecosystem services. Results attained were further evaluated through statistical methods regarding blue water flow and green water storage potential of the country. The main purpose of the study was to aid the legal authorities, and decision-makers in prioritizing the environmental measures to be taken for mitigation of climate change impacts on Turkiye in the long- run. The work was the first country-wide hydrological modelling study through globally accepted climate change scenarios.

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Zhou, Shilun y Wanchang Zhang. "Calibration and validation of a semi-distributed hydrological model in the Amur River Basin using remote sensing data". En Remote Sensing for Agriculture, Ecosystems, and Hydrology, editado por Christopher M. Neale y Antonino Maltese. SPIE, 2017. http://dx.doi.org/10.1117/12.2278345.

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Osypov, Valeriy, Nataliia Osadcha, Andrii Bonchkovskyi, Oleksandr Kostetskyi, Viktor Nikoriak, Yurii Ahafonov, Yevhenii Matviienko, Herman Mossur y Volodymyr Osadchyi. "Hydrological model of Ukraine: setup, calibration, and web interface". En International Conference of Young Scientists on Meteorology, Hydrology and Environmental Monitoring. Ukrainian Hydrometeorological Institute, 2023. http://dx.doi.org/10.15407/icys-mhem.2023.013.

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The planning of river basin management should utilize a high-resolution, process-based hydrological model to tackle issues such as diffuse pollution, drought, flood forecasting, and the impact of climate change. The studies available to date only encompass five meso-scale and one large-scale river basins in Ukraine. The objective of this study is to calibrate the Soil and Water Assessment Tool (SWAT) for all Ukrainian river basins, including upstream transboundary parts. The model could potentially assist in land management and assessing the impact of agriculture on water resources; hence, considerable attention is paid to agricultural practices and crop rotations. The Soil and Water Assessment Tool (SWAT) is a process-based semi-distributed hydrological model developed by the United States Department of Agriculture's Agricultural Research Service (USDA-ARS) in collaboration with numerous institutions. SWAT is widely used for simulating the impact of land management practices on water resources, including water quantity and quality, as well as assessing the overall environmental impact of land use and climate changes. The watershed, encompassing transboundary areas, covers an area of 873,600 km2, with Ukraine accounting for 68.7% of it. The inputs for the model consist of topography, river network, merged national soil maps with the properties for each soil polygon and underlying horizons, land cover, and agricultural practices such as crop rotations, fertilization, and operation schedules. In calibrating the model, we arranged daily discharge data from 56 gauges, snow cover from 61 locations, and crop yields of primary crops. The modeling period spans 41 years from 1980 to 2020. The modeling results are evaluated based on three criteria: the Nash-Sutcliffe coefficient (NS), the coefficient of determination (R2), and the percent bias (PBIAS). The model is available via a user-friendly web platform that features an interactive map of Ukrainian subbasins. Users can inspect the model inputs for each subbasin and monitor the daily dynamics of key outputs: river discharge, water flow components, evapotranspiration, soil water, and snow cover. The results can be downloaded as an image or a CSV file for further research. The hydrological model of Ukraine has the potential to address a wide range of issues related to water and agriculture: water supply, flood forecasting, soil water availability, water quality, the impact of climate change, and so on. The model will be expanded in the future to include sediment and nutrient transport.

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Stoyanova, Silviya, Valeriya Yordanova y Vesela Stoyanova. "ASSESSMENT OF PEAK FLOW VARIATION DUE TO LANDUSE CHANGE: VIT RIVER CASE STUDY". En 23rd SGEM International Multidisciplinary Scientific GeoConference 2023. STEF92 Technology, 2023. http://dx.doi.org/10.5593/sgem2023/3.1/s12.06.

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The results of many research projects and studies report that landuse/ landcover change (LULCC) is a major driver of the changes in the hydrological processes within a watershed. Landuse induced landcover changes, e.g., urbanization, deforestation, have a direct impact on the hydrological regime of watersheds thus increasing their vulnerability to extreme hydrological events. In this research the Soil and Water Assessment Tool (SWAT) was used to study the landuse/landcover change impact on the hydrological dynamics within a watershed with respect to peak flow. The physically-based, semi-distributed hydrological SWAT model was applied over Vit river basin in Bulgaria. SWAT was set up with a meteorological information for the period 2015-2020 and the Corine Land Cover (CLC2012) dataset was used to classify the different landuse types in the watershed. The model was further calibrated and validated towards measured discharge data. The rainfall-runoff process in Vit river basin was re-modelled by having the calibrated SWAT model applied using the same meteorological input time series data and a future landcover change scenario. Future landuse/landcover change scenario was selected following the "Sustainable Futures for Europe's Heritage in Cultural Landscapes" project (HERCULES) open mapping platform. The results of the simulations with the CLC2012 and the future landcover shange scenario landuse datasets are presented in this paper. The future landcover change scenario simulated daily discharges were compared against the simulated with the CLC2012 dataset daily discharges. The results of the modelled surface runoff with the two landcover scenarios were also analyzed to evaluate quantitative and spatial distribution changes. Compared to CLC2012, the FLC scenario simulation results showed a tendency toward maximal peak flow increase, higher surface runoff and decrease of minimal streamflow.

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Mayer, Alice, Bianca Ortuani, Margherita De Peppo, Francesco Nutini, Alberto Crema, Mirco Boschetti, Giorgio Ragaglini y Arianna Facchi. "Use of satellite-based phenometrics, geophysical soil data and a semi-distributed agro-hydrological model for variable-rate irrigation management in a maize farm in northern Italy". En 2022 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor). IEEE, 2022. http://dx.doi.org/10.1109/metroagrifor55389.2022.9964911.

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Rakhmatika, I. A. "APPLICATION OF A RAINFALL-RUNOFF MODEL FOR ASSESSING THE EFFECT OF LAND USE CHANGE ON FLOOD CHARACTERISTICS IN SERANG REGENCY, BANTEN". En 7th International Conference on Sustainable Built Environment. Universitas Islam Indonesia, 2023. http://dx.doi.org/10.20885/icsbe.vol4.art33.

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A flood in Serang Regency is predicted to occur due to changes in land use in the Ciujung River Basin. Land cover conditions in upstream areas affect flooding in downstream areas. A study is needed to evaluate the runoff from the Ciujung River Basin that reaches the flood-prone area in Serang Regency. This research aims to identify the effect of land-use change on floods in the Serang Regency and identify sub-watersheds that have a dominant influence on floods. The effect of the land-use change was analyzed by determining the composite curve number (CN) values in 2010 and 2019. Composite CN values were used for simulating flood hydrographs with 5, 20, 50, 100, and 1000 return periods using a simple semi-distributed rainfall-runoff hydrological model. The results showed that all sub-watersheds experienced an increase in composite CN values. The upper middle sub-watershed has a dominant influence on floods in normal conditions ranging from 9.2%-19.6%, in wet conditions ranging from 2.4%-6.5%. Implementing the spatial pattern of the Banten Provincial Plan 2010-2030 can reduce the composite CN value and the peak discharge of flood by around 7.3%-13.3% for normal conditions, in wet conditions down by about 1.7%-4.1% for each return period.

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Bekele, Elias G. y John W. Nicklow. "Evolutionary Algorithms for Multi-Objective, Automatic Calibration of a Semi-Distributed Hydrologic Model". En World Environmental and Water Resources Congress 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40856(200)112.

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