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Artículos de revistas sobre el tema "Hydrological model"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 25 de julio de 2025

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1

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

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Abstract. Hydrological models can be used to assess the impact of hydrologic alteration on the river ecosystem. However, there are considerable limitations and uncertainties associated with the replication of ecologically relevant hydrological indicators. Vogel and Sankarasubramanian's 2003 (Water Resources Research) covariance approach to model evaluation and parameterization represents a shift away from algorithmic model calibration with traditional performance measures (objective functions). Using the covariance structures of the observed input and simulated output time series, it is possib

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2

Liu, Yue, Jian-yun Zhang, Amgad Elmahdi, et al. "Transferability of a lumped hydrologic model, the Xin'anjiang model based on similarity in climate and geography." Water Supply 21, no. 5 (2021): 2191–201. http://dx.doi.org/10.2166/ws.2021.055.

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Abstract Hydrological experiments are essential to understanding the hydrological cycles and promoting the development of hydrologic models. Model parameter transfers provide a new way of doing hydrological forecasts and simulations in ungauged catchments. To study the transferability of model parameters for hydrological modelling and the influence of parameter transfers on hydrological simulations, the Xin'anjiang model (XAJ model), which is a lumped hydrologic model based on a saturation excess mechanism that has been widely applied in different climate regions of the world, was applied to a

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3

Sahu, Chinmayee, and Surendra Kumar Chandniha. "A Brief Review on Hydrological Modelling." International Journal of Environment and Climate Change 15, no. 1 (2025): 352–68. https://doi.org/10.9734/ijecc/2025/v15i14697.

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The interaction between water, climate, soil and land use is primary to the hydrological modelling concept. Hydrological models include spatial and temporal features. Hydrologists utilize hydrologic models as a primary tool for a variety of tasks including managing water resources, managing urban and rural areas, modelling ground water and more. In order to implement hydrologic models with ease, it is necessary to thoroughly comprehend their properties which have been developed and improved through the years. It is difficult to categorize hydrologic models precisely and various hydrologists ma

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4

Chadalawada, Jayashree, and Vladan Babovic. "Review and comparison of performance indices for automatic model induction." Journal of Hydroinformatics 21, no. 1 (2017): 13–31. http://dx.doi.org/10.2166/hydro.2017.078.

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Abstract One of the more perplexing challenges for the hydrologic research community is the need for development of coupled systems involving integration of hydrologic, atmospheric and socio-economic relationships. Given the demand for integrated modelling and availability of enormous data with varying degrees of (un)certainty, there exists growing popularity of data-driven, unified theory catchment scale hydrological modelling frameworks. Recent research focuses on representation of distinct hydrological processes using mathematical model components that vary in a controlled manner, thereby d

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5

Nordin, N. A. S., Z. Hassan, N. M. Noor, A. N. Kamarudzaman, and A. S. A. Ahmadni. "Assessing Hydrological Response in the Timah-Tasoh Reservoir Sub-Catchments: Calibration and Validation using the HEC-HMS Model." IOP Conference Series: Earth and Environmental Science 1303, no. 1 (2024): 012029. http://dx.doi.org/10.1088/1755-1315/1303/1/012029.

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Abstract Hydrological modelling is a tool that is frequently used for assessing the hydrological response of a basin as a result of precipitation. It is also a vital component as water resources and environmental planning management. The study deals with calibrating and validating the hydrological response in the sub-catchments of the Timah-Tasoh reservoir using the hydrological model named Hydrologic Engineering Center – Hydrologic Modelling System (HEC-HMS). This study uses the SCS Curve Number, the SCS Unit Hydrograph, the constant monthly baseflow, and lag routing for the model development

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6

Zheng, Zhen, Jing Zhang, Hui Li Gong, and J. W. Huang. "Application of MIKESHE Model in Water Environmental Management for Guishui River Basin." Applied Mechanics and Materials 580-583 (July 2014): 1823–27. http://dx.doi.org/10.4028/www.scientific.net/amm.580-583.1823.

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In order to comprehensively analyse hydrological environment system of watershed, it is particularly important to couple the surface water and groundwater for better underding the entire hydrologic cycle. Guishui river basin, located in Beijing, was selected as the research area to build a MIKE SHE hydrological integrated model to simulate the surface runoff. The hydrologic response in the Guishui river basin was explored. This study will enrich the experience of the domestic application about MIKESHE model and provided scientific basis for regional water resources planning and management. In

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7

Krzeminska, D. M., T. A. Bogaard, J. P. Malet, and L. P. H. van Beek. "A model of hydrological and mechanical feedbacks of preferential fissure flow in a slow-moving landslide." Hydrology and Earth System Sciences 17, no. 3 (2013): 947–59. http://dx.doi.org/10.5194/hess-17-947-2013.

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Abstract. The importance of hydrological processes for landslide activity is generally accepted. However, the relationship between precipitation, hydrological responses and movement is not straightforward. Groundwater recharge is mostly controlled by the hydrological material properties and the structure (e.g., layering, preferential flow paths such as fissures) of the unsaturated zone. In slow-moving landslides, differential displacements caused by the bedrock structure complicate the hydrological regime due to continuous opening and closing of the fissures, creating temporary preferential fl

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8

Krzeminska, D. M., T. A. Bogaard, J. P. Malet, and L. P. H van Beek. "A model of hydrological and mechanical feedbacks of preferential fissure flow in a slow-moving landslide." Hydrology and Earth System Sciences Discussions 9, no. 10 (2012): 11161–97. http://dx.doi.org/10.5194/hessd-9-11161-2012.

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Abstract. The importance of hydrological processes for landslide activity is generally accepted. However, the relationship between precipitation, hydrological responses and movement is not straightforward. Groundwater recharge is mostly controlled by the hydrological material properties and the structure (e.g. layering, preferential flow paths such as fissures) of the unsaturated zone. In slow-moving landslides, differential displacements caused by the bedrock structure complicate the hydrological regime due to continuous opening and closing of the fissures, creating temporary preferential flo

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9

Harsoyo, Budi. "REVIEW MODELING HIDROLOGI DAS DI INDONESIA." Jurnal Sains & Teknologi Modifikasi Cuaca 11, no. 1 (2010): 41. http://dx.doi.org/10.29122/jstmc.v11i1.2179.

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Berbagai model simulasi hidrologi telah dikembangkan untuk menjelaskan prosesmengubah input (dalam bentuk hujan) menjadi output (dalam bentuk aliran sungai) dengan mempertimbangkan karakteristik fisik DAS. Model simulasi hidrologi pada dasarnya dirancang untuk menyederhanakan sistem hidrologi, sehingga perilaku dari beberapa komponen dalam sistem dapat diketahui. Makalah ini membahas pemodelan hidrologi banyak diterapkan di Indonesia, dimulai dengan peninjauan definisi dan klasifikasi model hidrologi, dan lanjutkan dengan ulasan beberapa model hidrologi DAS untuk skala bersama dengan beberapa

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10

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

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Improving the accuracy of runoff simulations is a significant focus of hydrological science for multiple purposes such as water resources management, flood and drought prediction, and water environment protection. However, the simulated runoff has limitations that cannot be eliminated. This paper proposes a method that integrates the hydrological and time series models to improve the reliability and accuracy of simulated runoffs. Specifically, the block-wise use of TOPMODEL (BTOP) is integrated with three time series models to improve the simulated runoff from a hydrological model of the Zhou

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11

Lee, Hanyong, Min Suh Chae, Jong-Yoon Park, Kyoung Jae Lim, and Youn Shik Park. "Development and Application of a QGIS-Based Model to Estimate Monthly Streamflow." ISPRS International Journal of Geo-Information 11, no. 1 (2022): 40. http://dx.doi.org/10.3390/ijgi11010040.

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Changes in rainfall pattern and land use have caused considerable impacts on the hydrological behavior of watersheds; a Long-Term Hydrologic Impact Analysis (L-THIA) model has been used to simulate such variations. The L-THIA model defines curve number according to the land use and hydrological soil group before calculating the direct runoff based on the amount of rainfall, making it a convenient method of analysis. Recently, a method was proposed to estimate baseflow using this model, which may be used to estimate the overall streamflow. Given that this model considers the spatial distributio

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12

Janicka, Ewelina, Jolanta Kanclerz, Tropikë Agaj, and Katarzyna Gizińska. "Comparison of Two Hydrological Models, the HEC-HMS and Nash Models, for Runoff Estimation in Michałówka River." Sustainability 15, no. 10 (2023): 7959. http://dx.doi.org/10.3390/su15107959.

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Floods are among the most devastating natural disasters in small suburban catchments. These phenomena, causing loss of life and massive property damage, pose a serious threat to the economy. Hydrological modeling is extremely important in terms of climate change, and the use of appropriate modeling can be a useful tool for flood risk prevention and mitigation. Rainfall–runoff modeling requires the selection of an appropriate hydrological model in order to obtain satisfactory results. Hydrological models are used in water resource planning and management to estimate catchment runoff. Small unco

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13

He, Shaokun, Shenglian Guo, Zhangjun Liu, Jiabo Yin, Kebing Chen, and Xushu Wu. "Uncertainty analysis of hydrological multi-model ensembles based on CBP-BMA method." Hydrology Research 49, no. 5 (2018): 1636–51. http://dx.doi.org/10.2166/nh.2018.160.

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Abstract Quantification of the inherent uncertainty in hydrologic forecasting is essential for flood control and water resources management. The existing approaches, such as Bayesian model averaging (BMA), hydrologic uncertainty processor (HUP), copula-BMA (CBMA), aim at developing reliable probabilistic forecasts to characterize the uncertainty induced by model structures. In the probability forecast framework, these approaches either assume the probability density function (PDF) to follow a certain distribution, or are unable to reduce bias effectively for complex hydrological forecasts. To

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14

Toum, Ezequiel, Mariano,H Masiokas, Ricardo Villalba, Pierre Pitte, and Lucas Ruiz. "The HBV.IANIGLA Hydrological Model." R Journal 13, no. 1 (2021): 378. http://dx.doi.org/10.32614/rj-2021-059.

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15

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

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A flow updating model is presented in which the flow is estimated using outputs from a physically based watershed model (UBC watershed model) and a feedback of the most recent flow measurement. These outputs (the flow components) are modified by certain parameters that are updated whenever a flow measurement is available. The updating process is based on a state-space model where Kalman filter technique is used to update the parameters from their past values and the most recent flow measurement. The extent of updating is controlled by the relative uncertainties in the flow measurements and the

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16

Di Salvo, Cristina. "Groundwater Hydrological Model Simulation." Water 15, no. 4 (2023): 822. http://dx.doi.org/10.3390/w15040822.

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17

Abbas, Ather, Laurie Boithias, Yakov Pachepsky, Kyunghyun Kim, Jong Ahn Chun, and Kyung Hwa Cho. "AI4Water v1.0: an open-source python package for modeling hydrological time series using data-driven methods." Geoscientific Model Development 15, no. 7 (2022): 3021–39. http://dx.doi.org/10.5194/gmd-15-3021-2022.

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Abstract. Machine learning has shown great promise for simulating hydrological phenomena. However, the development of machine-learning-based hydrological models requires advanced skills from diverse fields, such as programming and hydrological modeling. Additionally, data pre-processing and post-processing when training and testing machine learning models are a time-intensive process. In this study, we developed a python-based framework that simplifies the process of building and training machine-learning-based hydrological models and automates the process of pre-processing hydrological data a

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18

Tegelhoffová, M. "Analysis of the development of a hydrological balance for future decades in the Senianska depression in the Eastern Slovak lowland." Slovak Journal of Civil Engineering 18, no. 4 (2010): 30–40. http://dx.doi.org/10.2478/v10189-010-0020-6.

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Analysis of the development of a hydrological balance for future decades in the Senianska depression in the Eastern Slovak lowlandThe goal of the article was to analyze the hydrological balance for future decades in a pilot area in the Eastern Slovak lowland. The aim was to set up the physically-based Mike SHE hydrological model for the modeling hydrological balance in the selected wetland ecosystem in the Eastern Slovak Lowland. The pilot area - the Senianska depression is located near the village of Senne, between the Laborec and Uh Rivers. Specifically, it is a traditional landscape of mead

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19

Bingeman, A. K., N. Kouwen, and E. D. Soulis. "Validation of the Hydrological Processes in a Hydrological Model." Journal of Hydrologic Engineering 11, no. 5 (2006): 451–63. http://dx.doi.org/10.1061/(asce)1084-0699(2006)11:5(451).

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20

Kim, Deasik, Hyunuk An, Minwon Jang, and Seongjoon Kim. "Development of a distributed hydrological model considering hydrological change." Korean Journal of Agricultural Science 45, no. 3 (2018): 521–32. http://dx.doi.org/10.7744/kjoas.20180040.

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21

Edier, Vicente Aristizábal-Giraldo, Ignacio Vélez-Upegui Jaime, and Eduardo Martínez-Carvajal Hernán. "A comparison of linear and nonlinear model performance of shia_landslide: a forecasting model for rainfall-induced landslides." Revista Facultad de Ingeniería –redin-, no. 80 (September 15, 2016): 74–88. https://doi.org/10.17533/udea.redin.n80a09.

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   Landslides are one of the main causes of global human and economic losses. Vulnerability to landslide hazards has increased due to expanded land urbanisation in areas with high landslide susceptibility. Therefore, landslide hazard assessment and the capacity to predict such phenomena have been a topic of great interest within the scientific community, with the goal of implementing early warning systems. SHIA_Landslide (Open and Distributed Hydrological Simulation & Landslides) is a conceptual and physically based model to analyse shallow landslide processes by incorporating a

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22

Kim, Wonjin, Sijung Choi, Seongkyu Kang, and Soyoung Woo. "Regionalization-Based Low-Flow Estimation for Ungauged Basins in a Large-Scale Watershed." Water 17, no. 8 (2025): 1146. https://doi.org/10.3390/w17081146.

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The accurate estimation of low flow is necessary for effective water resource management, especially in regions with limited hydrological data. This study aims to enhance low-flow prediction by developing regional regression models based on climatological variables. Cluster analysis based on Ward’s method and K-means algorithm was applied to delineate hydrologically homogeneous regions within the Nakdong River Basin. Multiple regression models were developed for each cluster to estimate low-flow indicators, Q95 and 7Q. The results demonstrated that regional regression models outperformed the g

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23

Wang, Shao, Su, Cui, and Zhang. "The Application of Improved SWAT Model to Hydrological Cycle Study in Karst Area of South China." Sustainability 11, no. 18 (2019): 5024. http://dx.doi.org/10.3390/su11185024.

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In the karst area of southern China, karst water is important for supporting the sustainable production and home living for the local residents. Consequently, it is of significance to fully understand the water cycle, so as to make full use of water resources. In karst areas, epikarst and conduits are developed, participating in the hydrological cycle actively. For conventional lumped hydrologic models, it is difficult to simulate the hydrological cycle accurately. These models neglect to consider the variation of underlying surface and weather change. Meanwhile, for the original distributed h

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24

Arnold, S., S. Attinger, K. Frank, and A. Hildebrandt. "Uncertainty in parameterisation and model structure affect simulation results in coupled ecohydrological models." Hydrology and Earth System Sciences 13, no. 10 (2009): 1789–807. http://dx.doi.org/10.5194/hess-13-1789-2009.

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Abstract. In this paper we develop and apply a conceptual ecohydrological model to investigate the effects of model structure and parameter uncertainty on the simulation of vegetation structure and hydrological dynamics. The model is applied for a typical water limited riparian ecosystem along an ephemeral river: the middle section of the Kuiseb River in Namibia. We modelled this system by coupling an ecological model with a conceptual hydrological model. The hydrological model is storage based with stochastical forcing from the flood. The ecosystem is modelled with a population model, and rep

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25

Olaleye, Oluwatobi, Olayiwola Akintola, Rafiu Jımoh, Olukemi Gbadebo, and Oluwaseun Faloye. "REVIEW AND COMPARATIVE STUDY OF HYDROLOGICAL MODELS FOR RAINFALL-RUNOFF MODELLING." International Journal of Environment and Geoinformatics 11, no. 3 (2024): 119–29. http://dx.doi.org/10.30897/ijegeo.1514176.

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Water is considered as an important resources for human existence on the earth. In order to simulate or optimized hydrological data for various water resources management, several hydrological models are very useful to attain this aim for water resources management and as a decision support tools. A rainfall-runoff model is a quantitative prototype explaining the rainfall-runoff interactions at basin scale. The hydrological models have peculiarities in terms of capabilities for various water resources management. This paper tends to reviewed over fifty (50) papers that are peculiar to hydrolog

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26

Mai, Juliane, James R. Craig, and Bryan A. Tolson. "Simultaneously determining global sensitivities of model parameters and model structure." Hydrology and Earth System Sciences 24, no. 12 (2020): 5835–58. http://dx.doi.org/10.5194/hess-24-5835-2020.

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Abstract. Model structure uncertainty is known to be one of the three main sources of hydrologic model uncertainty along with input and parameter uncertainty. Some recent hydrological modeling frameworks address model structure uncertainty by supporting multiple options for representing hydrological processes. It is, however, still unclear how best to analyze structural sensitivity using these frameworks. In this work, we apply the extended Sobol' sensitivity analysis (xSSA) method that operates on grouped parameters rather than individual parameters. The method can estimate not only tradition

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27

Li, Zeli, Kai Gao, Xiaochao Gu, Pengyu Mei, Zhen Zhang, and Yuqiu Wang. "Nitrogen and phosphorus load estimation of inflow rivers to Yuqiao Reservoir based on GWLF model." IOP Conference Series: Earth and Environmental Science 1087, no. 1 (2022): 012016. http://dx.doi.org/10.1088/1755-1315/1087/1/012016.

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Abstract Watershed model technology was an important tool for non-point source pollution prevention and control. In order to figure out the total nitrogen (TN) and total phosphorus (TP) load of inflow rivers to Yuqiao Reservoir in 2021, GWLF model was used to simulate the hydrologic process in its sub-basin. Firstly, the hydrological parameters of the model were determined by the measured meteorological and hydrological data. Secondly, the hydrological parameters were extended to the whole basin, and the three main river inflows to Yuqiao Reservoir were simulated in 2021. Lastly, the nutrient

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Shu, Lele, Paul Ullrich, Xianhong Meng, Christopher Duffy, Hao Chen, and Zhaoguo Li. "rSHUD v2.0: advancing the Simulator for Hydrologic Unstructured Domains and unstructured hydrological modeling in the R environment." Geoscientific Model Development 17, no. 2 (2024): 497–527. http://dx.doi.org/10.5194/gmd-17-497-2024.

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Abstract. Hydrological modeling is a crucial component in hydrology research, particularly for projecting future scenarios. However, achieving reproducibility and automation in distributed hydrological modeling research for modeling, simulation, and analysis is challenging. This paper introduces rSHUD v2.0, an innovative, open-source toolkit developed in the R environment to enhance the deployment and analysis of the Simulator for Hydrologic Unstructured Domains (SHUD). The SHUD is an integrated surface–subsurface hydrological model that employs a finite-volume method to simulate hydrological

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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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30

Zhu, Bowen, Xianhong Xie, Yibing Wang, and Xuehua Zhao. "The Benefits of Continental-Scale High-Resolution Hydrological Modeling in the Detection of Extreme Hydrological Events in China." Remote Sensing 15, no. 9 (2023): 2402. http://dx.doi.org/10.3390/rs15092402.

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High-resolution hydrological modeling is crucial for detecting extreme hydrological events and understanding fundamental terrestrial processes. However, spatial resolutions in current hydrological modeling studies have been mostly constrained to relatively coarse resolution (~10–100 km), and they therefore have a difficult time addressing flooding or drought issues with fine resolutions. In this study, a continental-scale high-resolution hydrological modeling framework (0.0625°, ~6 km) driven by remote sensing products was used to detect extreme hydrological event occurrences in China and eval

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P. C., Shakti, Tsuyoshi Nakatani, and Ryohei Misumi. "The Role of the Spatial Distribution of Radar Rainfall on Hydrological Modeling for an Urbanized River Basin in Japan." Water 11, no. 8 (2019): 1703. http://dx.doi.org/10.3390/w11081703.

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Recently, the use of gridded rainfall data with high spatial resolutions in hydrological applications has greatly increased. Various types of radar rainfall data with varying spatial resolutions are available in different countries worldwide. As a result of the variety in spatial resolutions of available radar rainfall data, the hydrological community faces the challenge of selecting radar rainfall data with an appropriate spatial resolution for hydrological applications. In this study, we consider the impact of the spatial resolution of radar rainfall on simulated river runoff to better under

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32

Haberlandt, U., and I. Radtke. "Hydrological model calibration for derived flood frequency analysis using stochastic rainfall and probability distributions of peak flows." Hydrology and Earth System Sciences 18, no. 1 (2014): 353–65. http://dx.doi.org/10.5194/hess-18-353-2014.

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Abstract. Derived flood frequency analysis allows the estimation of design floods with hydrological modeling for poorly observed basins considering change and taking into account flood protection measures. There are several possible choices regarding precipitation input, discharge output and consequently the calibration of the model. The objective of this study is to compare different calibration strategies for a hydrological model considering various types of rainfall input and runoff output data sets and to propose the most suitable approach. Event based and continuous, observed hourly rainf

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Yu, Cui Song, and Xiao Na Guo. "Hydrological Frequency Calculation Method Study of Urban Rivers Runoff under Changing Environment." Applied Mechanics and Materials 170-173 (May 2012): 2023–26. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.2023.

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The consistency of hydrological series has been destroyed by the impact of human activities and climate change. Hydrological series is consist of certain component and random element. The random and certain components of hydrological series are identified and separated through statistic analysis. The certain element is determined by using hydrologic model while the consistancy of random element is confirmed directly by hydrological frequency curve. And then add them together. The runoff series of the Huangtai Hydrometric Station in the Xiaoqing River is for example. It proves effective and fea

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Kaykhosravi, Sarah, Karen Abogadil, Usman T. Khan, and Mojgan A. Jadidi. "The Low-Impact Development Demand Index: A New Approach to Identifying Locations for LID." Water 11, no. 11 (2019): 2341. http://dx.doi.org/10.3390/w11112341.

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The primary goal of low impact development (LID) is to capture urban stormwater runoff; however, multiple indirect benefits (environmental and socioeconomic benefits) also exist (e.g., improvements to human health and decreased air pollution). Identifying sites with the highest demand or need for LID ensures the maximization of all benefits. This is a spatial decision-making problem that has not been widely addressed in the literature and was the focus of this research. Previous research has focused on finding feasible sites for installing LID, whilst only considering insufficient criteria whi

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Daide, Fatima, Rachida Afgane, Abderrahim Lahrach, Abdel-Ali Chaouni, Mohamed Msaddek, and Ismail Elhasnaoui. "Application of the HEC-HMS hydrological model in the Beht watershed (Morocco)." E3S Web of Conferences 314 (2021): 05003. http://dx.doi.org/10.1051/e3sconf/202131405003.

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This work focused on the collection and preparation of the data required for the hydrological modelling of the Beht catchment area, which covers an area of 4560 km2 with a perimeter of 414 km, by combining the various spatial technologies, in particular geographical information systems (GIS), remote sensing, and digital terrain models (DTM), with hydrological models in order to prepare for spatial hydrological modelling used for flood forecasting. The methodology consists, at first, in the automatic extraction of the sub-basins and the drainage network. Then, edit these data using the HEC-GEO-

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Herbst, M., H. V. Gupta, and M. C. Casper. "Mapping model behaviour using Self-Organizing Maps." Hydrology and Earth System Sciences Discussions 5, no. 6 (2008): 3517–55. http://dx.doi.org/10.5194/hessd-5-3517-2008.

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Abstract. Hydrological model evaluation and identification essentially depends on the extraction of information from model time series and its processing. However, the type of information extracted by statistical measures has only very limited meaning because it does not relate to the hydrological context of the data. To overcome this inadequacy we exploit the diagnostic evaluation concept of Signature Indices, in which model performance is measured using theoretically relevant characteristics of system behaviour. In our study, a Self-Organizing Map (SOM) is used to process the Signatures extr

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Herbst, M., H. V. Gupta, and M. C. Casper. "Mapping model behaviour using Self-Organizing Maps." Hydrology and Earth System Sciences 13, no. 3 (2009): 395–409. http://dx.doi.org/10.5194/hess-13-395-2009.

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Abstract. Hydrological model evaluation and identification essentially involves extracting and processing information from model time series. However, the type of information extracted by statistical measures has only very limited meaning because it does not relate to the hydrological context of the data. To overcome this inadequacy we exploit the diagnostic evaluation concept of Signature Indices, in which model performance is measured using theoretically relevant characteristics of system behaviour. In our study, a Self-Organizing Map (SOM) is used to process the Signatures extracted from Mo

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38

Zalachori, I., M. H. Ramos, R. Garçon, T. Mathevet, and J. Gailhard. "Statistical processing of forecasts for hydrological ensemble prediction: a comparative study of different bias correction strategies." Advances in Science and Research 8, no. 1 (2012): 135–41. http://dx.doi.org/10.5194/asr-8-135-2012.

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Abstract. The aim of this paper is to investigate the use of statistical correction techniques in hydrological ensemble prediction. Ensemble weather forecasts (precipitation and temperature) are used as forcing variables to a hydrologic forecasting model for the production of ensemble streamflow forecasts. The impact of different bias correction strategies on the quality of the forecasts is examined. The performance of the system is evaluated when statistical processing is applied: to precipitation and temperature forecasts only (pre-processing from the hydrological model point of view), to fl

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Chen, Gang, Wenjuan Hua, Xing Fang, Chuanhai Wang, and Xiaoning Li. "Distributed-Framework Basin Modeling System: II. Hydrologic Modeling System." Water 13, no. 5 (2021): 744. http://dx.doi.org/10.3390/w13050744.

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A distributed-framework hydrologic modeling system (DF-HMS) is a primary and significant component of a distributed-framework basin modeling system (DFBMS), which simulates the hydrological processes and responses after rainfall at the basin scale, especially for non-homogenous basins. The DFBMS consists of 11 hydrological feature units (HFUs) involving vertical and horizontal geographic areas in a basin. Appropriate hydrologic or hydraulic methods are adopted for different HFUs to simulate corresponding hydrological processes. The digital basin generation model is first developed to determine

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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 (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

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Zink, Matthias, Rohini Kumar, Matthias Cuntz, and Luis Samaniego. "A high-resolution dataset of water fluxes and states for Germany accounting for parametric uncertainty." Hydrology and Earth System Sciences 21, no. 3 (2017): 1769–90. http://dx.doi.org/10.5194/hess-21-1769-2017.

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Abstract. Long-term, high-resolution data about hydrologic fluxes and states are needed for many hydrological applications. Because continuous large-scale observations of such variables are not feasible, hydrologic or land surface models are applied to derive them. This study aims to analyze and provide a consistent high-resolution dataset of land surface variables over Germany, accounting for uncertainties caused by equifinal model parameters. The mesoscale Hydrological Model (mHM) is employed to derive an ensemble (100 members) of evapotranspiration, groundwater recharge, soil moisture, and

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42

So, Jae-Min, Joo-Heon Lee, and Deg-Hyo Bae. "Development of a Hydrological Drought Forecasting Model Using Weather Forecasting Data from GloSea5." Water 12, no. 10 (2020): 2785. http://dx.doi.org/10.3390/w12102785.

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This study developed a hydrological drought forecasting framework linked to the meteorological model and land surface model (LSM) considering hydrologic facilities and evaluated the feasibility of the Modified Surface Water Supply Index (MSWSI) for drought forecasts in South Korea. The Global Seasonal Forecast System version 5 (GloSea5) and variable infiltration capacity (VIC) models were adapted for meteorological and hydrological models for ensemble weather forecasts and corresponding hydrologic river and dam inflow forecasts, respectively. Instead of direct use for weather and runoff foreca

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Shrestha, Subarna, and Knut Alfredsen. "Application of HBV Model in Hydrological Studies of Nepali River Basins: A Case Study." Hydro Nepal: Journal of Water, Energy and Environment 8 (October 12, 2012): 38–43. http://dx.doi.org/10.3126/hn.v8i0.4910.

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Ungauged basins are challenges for hydrological study, the key discipline to analyse for planning and the operation of water resources projects. Several river basins have no hydrologic measurements where there is feasibility of promising water resources schemes. This study deals with use of the Hydrologiska Byråns avdeling for Vattenbalans (HBV) hydrological model to generate stream flow time series and other hydrological variables. The model was calibrated successfully in the Sanghutar catchment of the Likhu River of Nepal, and then used to simulate runoff series at the proposed intake site o

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Yao, C., L. Chang, J. Ding, Z. Li, D. An, and 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 (September 16, 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 distri

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Voinov, A., R. Costanza, C. Fitz, and T. Maxwell. "Patuxent landscape model: 1. Hydrological model development." Water Resources 34, no. 2 (2007): 163–70. http://dx.doi.org/10.1134/s0097807807020066.

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Gunathilake, Miyuru B., Chamaka Karunanayake, Anura S. Gunathilake, et al. "Hydrological Models and Artificial Neural Networks (ANNs) to Simulate Streamflow in a Tropical Catchment of Sri Lanka." Applied Computational Intelligence and Soft Computing 2021 (May 27, 2021): 1–9. http://dx.doi.org/10.1155/2021/6683389.

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Accurate streamflow estimations are essential for planning and decision-making of many development activities related to water resources. Hydrological modelling is a frequently adopted and a matured technique to simulate streamflow compared to the data driven models such as artificial neural networks (ANNs). In addition, usage of ANNs is minimum to simulate streamflow in the context of Sri Lanka. Therefore, this study presents an intercomparison between streamflow estimations from conventional hydrological modelling and ANN analysis for Seethawaka River Basin located in the upstream part of th

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André, Arlon. "Hydrological Modeling of the Cambamba Watershed in Angola Using the HEC-HMS Model." Modern Environmental Science and Engineering 8, no. 9 (2022): 459–70. http://dx.doi.org/10.15341/mese(2333-2581)/09.08.2022/002.

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When evaluating the impact of climate change on water resources in river basins it is crucial to accurately estimate the availability of water and such can be attained through hydrological modeling of the basin. The studies of the Hydrological Modeling System (HEC-HMS) for the Cambamba River Basin in Angola has been calibrated and validated for the prediction of its hydrologic response. Due to the complexity of Hydrologic models, a good calibration of the model should be established, therefore, improving its skills and effectiveness. A combination of both the energy budget and a physically-bas

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Hagemann, Stefan, and Lydia Dümenil. "Application of a Global Discharge Model to Atmospheric Model Simulations in the BALTEX Region." Hydrology Research 30, no. 3 (1999): 209–30. http://dx.doi.org/10.2166/nh.1999.0012.

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In this study, a hydrological discharge model is presented which may be applied as a tool to validate the simulation of the hydrologic cycle of atmospheric models that are used in climate change studies. It can also be applied in studies of global climate change to investigate how changes in climate may affect the discharge of large rivers. The model was developed for the application with the climate models used at the Max-Planck-Institute for Meteorology. It describes the translation and retention of the lateral waterflows on the global scale as a function of the spatially distributed land su

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Kamp, R. G., and H. H. G. Savenije. "Hydrological model coupling with ANNs." Hydrology and Earth System Sciences Discussions 3, no. 6 (2006): 3629–53. http://dx.doi.org/10.5194/hessd-3-3629-2006.

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Abstract. Model coupling in general is necessary but complicated. Scientists develop and improve conceptual models to represent physical processes occurring in nature. The next step is to translate these concepts into a mathematical model and finally into a computer model. Problems may appear if the knowledge, encapsulated in a computer model and software program is needed for another purpose. In integrated water management this is often the case when connections between hydrological, hydraulic or ecological models are required. Coupling is difficult for many reasons, related to data formats,

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50

Kamp, R. G., and H. H. G. Savenije. "Hydrological model coupling with ANNs." Hydrology and Earth System Sciences 11, no. 6 (2007): 1869–81. http://dx.doi.org/10.5194/hess-11-1869-2007.

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Abstract. There is an increasing need for model coupling. However, model coupling is complicated. Scientists develop and improve models to represent physical processes occurring in nature. These models are built in different software programs required to run the model. A software program or application represents part of the system knowledge. This knowledge is however encapsulated in the program and often difficult to access. In integrated water resources management it is often necessary to connect hydrological, hydraulic or ecological models. Model coupling can in practice be difficult for ma

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