Gotowe bibliografie tematyczne / Ungauged subcatchments

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Gotowa bibliografia na temat „Ungauged subcatchments”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Ungauged subcatchments"

1

Saliha, A. H., S. B. Awulachew, J. Cullmann, and Hans-B. Horlacher. "Estimation of flow in ungauged catchments by coupling a hydrological model and neural networks: case study." Hydrology Research 42, no. 5 (2011): 386–400. http://dx.doi.org/10.2166/nh.2011.157.

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The prediction of hydrological variables for ungauged basins is still a big challenge. Regionalization is the most widely used method to date, which relates parameters of watershed models to catchment characteristics. Relating catchment characteristics to watershed model parameters is too difficult for distributed hydrological models, due to the heterogeneous nature of catchments. A regional model was proposed by coupling a Kohonen neural network (KNN) and distributed Water Balance Simulation Model (WaSiM-ETH) to estimate flow in ungauged basin. KNN was used to delineate a hydrological homogen
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Prof, Dr Krishna Mohan Maddali, and Dr M. L. Narasimham Prof. "Distributed Hydrological Model for an Ungauged Subcatchment Msa5 in Andhra Pradesh, India." International Journal of Engineering Research and Advanced Technology (IJERAT) 3, no. 5 (2017): 22–43. https://doi.org/10.5281/zenodo.583810.

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Rainfall and runoff producing mechanisms are not only stochastic but are also spatially variable. But unfortunately, many hydrological models do not account for this spatial variability of watersheds and instead use lumped or spatially averaged parameters. Recent advances in Geographic Information Systems have made it possible to account for this spatial variability of hydrological parameters, thus enabling the invention and application of distributed models which are superior to the conventional approaches. The major problem in the assessment of relationships between rainfall and runoff occur
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Donmez, Cenk, Ahmet Cilek, Carsten Paul, and Suha Berberoglu. "Implementing a Proxy-Basin Strategy to Assess the Transposability of a Hydrological Model in Geographically Similar Catchments." Sustainability 13, no. 20 (2021): 11393. http://dx.doi.org/10.3390/su132011393.

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Hydrological modelling is the most common way to investigate the spatial and temporal distribution of regional water resources. The reliability and uncertainty of a model depend on the efficient calibration of hydrological parameters. However, in complex regions where several subcatchments are defined, calibration of parameters is often difficult due to a lack of observed data. The transposability of hydrological models is of critical importance for assessing hydrological effects of land use and climatic changes in ungauged watersheds. Our study implemented a Proxy-Catchment Differential Split
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Huang, Zhijun, Huan Wu, Robert F. Adler, et al. "Multisourced Flood Inventories over the Contiguous United States for Actual and Natural Conditions." Bulletin of the American Meteorological Society 102, no. 6 (2021): E1133—E1149. http://dx.doi.org/10.1175/bams-d-20-0001.1.

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AbstractA reliable flood event inventory that reflects the occurrence and evolution of past floods is important for studies of flood hazards and risks, hydroclimatic extremes, and future flood projections. However, currently available flood inventories are based on single-sourced data and often neglect underreported or less impactful flood events. Furthermore, traditional archives store flood events only at sparse geographic points, which significantly limits their further applicability. Also, few publicly available archives contain all-inclusive records of potential natural flooded area over
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Clausen, B., and K. Rømer Rasmussen. "Low Flow Estimation and Hydrogeology in a Chalk Catchment." Hydrology Research 24, no. 5 (1993): 297–308. http://dx.doi.org/10.2166/nh.1993.9.

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Procedures to estimate low flow statistics at ungauged sites and their relation to hydrogeology are presented. The discussion is based on an example of a Danish chalk catchment of 242 km2, within which the climatic variation is small compared to the physiographical variation. The spatial and temporal variation of streamflow was studied using synchronous discharge measurements and the application of a numerical model. The synchronous discharge measurements showed the runoff is unequally distributed within the catchment and depends primarily on the regional hydrogeology, but also on the litholog
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McDaniel, Reid D., and Frances C. O’Donnell. "Assessment of Hydrologic Alteration Metrics for Detecting Urbanization Impacts." Water 11, no. 5 (2019): 1017. http://dx.doi.org/10.3390/w11051017.

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Urbanization is increasing rapidly and has the potential to alter the hydrologic cycle. It is uncertain if hydrologic alteration metrics developed for large-scale analyses detect the impacts of urbanization. This study tests the ability of two such methods, Indicators of Hydrologic Alteration (IHA) and streamflow signatures, to detect the effects of urbanization in two watersheds in the southeastern U.S.A. A hydrologic model (HEC-HMS) was used to simulate flows in ungauged upstream tributaries to determine if analysis of flow from a large gauged watershed detects urbanization effects on upstre
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7

Thiemig, V., B. Bisselink, F. Pappenberger, and J. Thielen. "A pan-African Flood Forecasting System." Hydrology and Earth System Sciences Discussions 11, no. 5 (2014): 5559–97. http://dx.doi.org/10.5194/hessd-11-5559-2014.

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Abstract. The African Flood Forecasting System (AFFS) is a probabilistic flood forecast system for medium- to large-scale African river basins, with lead times of up to 15 days. The key components are the hydrological model LISFLOOD, the African GIS database, the meteorological ensemble predictions of the ECMWF and critical hydrological thresholds. In this paper the predictive capability is investigated in a hindcast mode, by reproducing hydrological predictions for the year 2003 where important floods were observed. Results were verified with ground measurements of 36 subcatchments as well as
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Dal Molin, Marco, Mario Schirmer, Massimiliano Zappa, and Fabrizio Fenicia. "Understanding dominant controls on streamflow spatial variability to set up a semi-distributed hydrological model: the case study of the Thur catchment." Hydrology and Earth System Sciences 24, no. 3 (2020): 1319–45. http://dx.doi.org/10.5194/hess-24-1319-2020.

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Abstract. This study documents the development of a semi-distributed hydrological model aimed at reflecting the dominant controls on observed streamflow spatial variability. The process is presented through the case study of the Thur catchment (Switzerland, 1702 km2), an alpine and pre-alpine catchment where streamflow (measured at 10 subcatchments) has different spatial characteristics in terms of amounts, seasonal patterns, and dominance of baseflow. In order to appraise the dominant controls on streamflow spatial variability and build a model that reflects them, we follow a two-stage approa
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Argentin, Anne-Laure, Pascal Horton, Bettina Schaefli, et al. "Scale dependency in modeling nivo-glacial hydrological systems: the case of the Arolla basin, Switzerland." Hydrology and Earth System Sciences 29, no. 6 (2025): 1725–48. https://doi.org/10.5194/hess-29-1725-2025.

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Abstract. Hydrological modeling in alpine catchments poses unique challenges due to the complex interplay of meteorological, topographical, geological, and glaciological drivers with streamflow generation. A significant issue arises from the limited availability of streamflow data due to the scarcity of high-elevation gauging stations. Consequently, there is a pressing need to assess whether streamflow models that are calibrated with moderate-elevation streamflow data can be effectively transferred to higher-elevation catchments, notwithstanding differences in the relative importance of differ
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Antonetti, Manuel, Christoph Horat, Ioannis V. Sideris, and Massimiliano Zappa. "Ensemble flood forecasting considering dominant runoff processes – Part 1: Set-up and application to nested basins (Emme, Switzerland)." Natural Hazards and Earth System Sciences 19, no. 1 (2019): 19–40. http://dx.doi.org/10.5194/nhess-19-19-2019.

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Abstract. Flash floods evolve rapidly during and after heavy precipitation events and represent a potential risk for society. To predict the timing and magnitude of a peak runoff, it is common to couple meteorological and hydrological models in a forecasting chain. However, hydrological models rely on strong simplifying assumptions and hence need to be calibrated. This makes their application difficult in catchments where no direct observation of runoff is available. To address this gap, a flash-flood forecasting chain is presented based on (i) a nowcasting product which combines radar and rai
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