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Relevant bibliographies by topics / Hydrological modelling tool

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Journal articles

Academic literature on the topic 'Hydrological modelling tool'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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Journal articles on the topic "Hydrological modelling tool"

1

Kunstmann, H., J. Krause, and S. Mayr. "Inverse distributed hydrological modelling of alpine catchments." Hydrology and Earth System Sciences Discussions 2, no. 6 (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 a

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2

Ocio, D., T. Beskeen, and K. Smart. "Fully distributed hydrological modelling for catchment-wide hydrological data verification." Hydrology Research 50, no. 6 (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 we

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3

Kunstmann, H., J. Krause, and S. Mayr. "Inverse distributed hydrological modelling of Alpine catchments." Hydrology and Earth System Sciences 10, no. 3 (2006): 395–412. http://dx.doi.org/10.5194/hess-10-395-2006.

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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 a

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4

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

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

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5

Rangecroft, S., S. Birkinshaw, M. Rohse, et al. "Hydrological modelling as a tool for interdisciplinary workshops on future drought." Progress in Physical Geography: Earth and Environment 42, no. 2 (2018): 237–56. http://dx.doi.org/10.1177/0309133318766802.

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Transformative interdisciplinary methods and tools are required to address crucial water-related challenges facing societies in the current era of the Anthropocene. In a community-based study in the Limpopo basin of South Africa, physical and social science methods were brought together to run interdisciplinary workshops aimed at enhancing preparedness for possible future drought. To generate storylines for the workshops, relevant scenarios were modelled using a catchment-scale hydrological model, SHETRAN. Set up using freely available data, local knowledge, and narrative-based group interview

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6

Savenije, H. H. G. "<i>HESS Opinions</i> "The art of hydrology"<sup>*</sup>." Hydrology and Earth System Sciences Discussions 5, no. 6 (2008): 3157–67. http://dx.doi.org/10.5194/hessd-5-3157-2008.

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Abstract. Hydrological modelling is the same as developing and encoding a hydrological theory. A hydrological model is not a tool but a theory. The whole discussion about the inadequacy of hydrological models we have witnessed of late, is related to the wrong concept of what a model is. Good models don't exist. Instead, hydrological research should focus on improving models and enhancing understanding. The process of modelling should be top-down, learning from the data. There is always a need for calibration, which implies that we need tailor-made and site-specific models. Only flexible models

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7

Kauffeldt, A., S. Halldin, A. Rodhe, C. Y. Xu, and I. K. Westerberg. "Disinformative data in large-scale hydrological modelling." Hydrology and Earth System Sciences Discussions 10, no. 1 (2013): 487–517. http://dx.doi.org/10.5194/hessd-10-487-2013.

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Abstract. Large-scale hydrological modelling has become an important tool for the study of global and regional water resources, climate impacts, and water-resources management. However, modelling efforts over large spatial domains are fraught with problems of data scarcity, uncertainties and inconsistencies between forcing and evaluation data. Model-independent methods to screen and analyse data for such problems are needed. This study aims at identifying data inconsistencies in global datasets using a pre-modelling analysis, inconsistencies that can be disinformative for subsequent modelling.

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8

Luo, Min, Tie Liu, Fanhao Meng, et al. "Proportional coefficient method applied to TRMM rainfall data: case study of hydrological simulations of the Hotan River Basin (China)." Journal of Water and Climate Change 8, no. 4 (2017): 627–40. http://dx.doi.org/10.2166/wcc.2017.080.

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Abstract A low-density rain gauge network is always a major obstacle for hydrological modelling, particularly for alpine and remote regions. The availability of the Tropical Rainfall Measuring Mission (TRMM) rainfall products provides an opportunity for hydrological modelling, although the results must be validated and corrected before they can be used in further applications. In this paper, the combination of proportional coefficients with cross-checking by hydrological modelling was proposed as a method to improve the quality of TRMM data in a rural mountainous region, the Hotan River Basin.

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9

Kauffeldt, A., S. Halldin, A. Rodhe, C. Y. Xu, and I. K. Westerberg. "Disinformative data in large-scale hydrological modelling." Hydrology and Earth System Sciences 17, no. 7 (2013): 2845–57. http://dx.doi.org/10.5194/hess-17-2845-2013.

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Abstract. Large-scale hydrological modelling has become an important tool for the study of global and regional water resources, climate impacts, and water-resources management. However, modelling efforts over large spatial domains are fraught with problems of data scarcity, uncertainties and inconsistencies between model forcing and evaluation data. Model-independent methods to screen and analyse data for such problems are needed. This study aimed at identifying data inconsistencies in global datasets using a pre-modelling analysis, inconsistencies that can be disinformative for subsequent mod

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10

Sidman, Gabriel, D. Phillip Guertin, David C. Goodrich, David Thoma, Donald Falk, and I. Shea Burns. "A coupled modelling approach to assess the effect of fuel treatments on post-wildfire runoff and erosion." International Journal of Wildland Fire 25, no. 3 (2016): 351. http://dx.doi.org/10.1071/wf14058.

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The hydrological consequences of wildfires are among their most significant and long-lasting effects. As wildfire severity affects post-fire hydrological response, fuel treatments can be a useful tool for land managers to moderate this response. However, current models focus on only one aspect of the fire–watershed linkage (fuel treatments, fire behaviour, fire severity, watershed responses). This study outlines a spatial modelling approach that couples three models used sequentially to allow managers to model the effects of fuel treatments on post-fire hydrological responses. Case studies inv

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