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Artykuły w czasopismach na temat „Hydrological”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

Javadinejad, Safieh. "A review on homogeneity across hydrological regions." Resources Environment and Information Engineering 3, no. 1 (2021): 124–37. http://dx.doi.org/10.25082/reie.2021.01.004.

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Hydrologic classification is the method of scientifically arranging streams, rivers or catchments into groups with the most similarity of flow regime features and use it to recognize hydrologically homogenous areas. Previous homogeneous attempts were depended on overabundance of hydrologic metrics that considers features of variability of flows that are supposed to be meaningful in modelling physical progressions in the basins. This research explains the techniques of hydrological homogeneity through comparing past and existing methods; in addition it provides a practical framework for hydrolo

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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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3

Lee, Eunhyung, and Sanghyun Kim. "Characterization of soil moisture response patterns and hillslope hydrological processes through a self-organizing map." Hydrology and Earth System Sciences 25, no. 11 (2021): 5733–48. http://dx.doi.org/10.5194/hess-25-5733-2021.

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Abstract. Hydrologic events can be characterized as particular combinations of hydrological processes on a hillslope scale. To configure hydrological mechanisms, we analyzed a dataset using an unsupervised machine learning algorithm to cluster the hydrologic events based on the dissimilarity distances between the weighting components of a self-organizing map (SOM). The time series of soil moisture was measured at 30 points (at 10 locations with three different depths) for 356 rainfall events on a steep, forested hillslope between 2007 and 2016. The soil moisture features for hydrologic events

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4

Zuo, Q., and S. Liang. "Effects of dams on river flow regime based on IHA/RVA." Proceedings of the International Association of Hydrological Sciences 368 (May 7, 2015): 275–80. http://dx.doi.org/10.5194/piahs-368-275-2015.

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Abstract. The river hydrologic regime is a driving force of the river ecosystem. Operation of dams and sluices has significant impacts on rivers’ hydrological situation. Taking the example of the Shaying River, the Jieshou hydrologic section was selected to study the influence of the sluice and all its upstream dams on the hydrologic regime. Using 55 years of measured daily flows at Jieshou hydrologic station, the hydrological date were divided into two series as pre- and post-impact periods. Based on the IHA, the range of variability in 33 flow parameters was calculated, and the hydrologic al

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5

Haché, Mario, Taha B. M. J. Ouarda, Pierre Bruneau, and Bernard Bobée. "Estimation régionale par la méthode de l'analyse canonique des corrélations: comparaison des types de variables hydrologiques." Canadian Journal of Civil Engineering 29, no. 6 (2002): 899–910. http://dx.doi.org/10.1139/l02-085.

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It is often necessary to estimate extreme events at sites where little or no hydrometric data are available. In such cases, one may use a regional estimation procedure, utilizing data available from other sites in the same hydrologic region. In general, a regional flood frequency procedure consists of two steps: determination of hydrologically homogeneous region and regional estimation. This paper presents the development of a regional flood frequency procedure based on canonical correlation analysis and multiple regression: (i) the canonical correlation analysis allows us to link a set of hyd

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6

Vu, T. T., J. Kiesel, B. Guse, and N. Fohrer. "Towards an improved understanding of hydrological change – linking hydrologic metrics and multiple change point tests." Journal of Water and Climate Change 10, no. 4 (2018): 743–58. http://dx.doi.org/10.2166/wcc.2018.068.

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Abstract Understanding the connections between climate, anthropogenic impacts, and hydrology is fundamental for assessing future climate change. However, a comprehensive methodology is lacking to understand significant changes in the discharge regime and their causes. We propose an approach that links change point tests with hydrologic metrics applied to two Vietnamese catchments where both climatic and anthropogenic changes are observed. The change points in discharge series are revealed by six widely used change point tests. Then, 171 hydrologic metrics are investigated to evaluate all possi

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7

Wang, Sen, Xia Liu, Xiayu Wang, and Wenhao Jia. "Measuring hydrologic regime alterations and hydrodynamic characteristics in the Xijiang River Basin by the IHA-RVA method." Journal of Physics: Conference Series 2865, no. 1 (2024): 012003. http://dx.doi.org/10.1088/1742-6596/2865/1/012003.

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Abstract An objective assessment of hydrological alterations is crucial for comprehensive water resource management, environmental protection, river ecosystem restoration, and integrated watershed water resource management. To quantitatively assess the ecological hydrologic regime alterations in the Xijiang River Basin in southern China considering the impacts from Longtan Reservoir, daily runoff data from two hydrological stations, Dahuangjiangkou and Wuzhou, are selected from 1973 to 2020. The changes in the flow are analyzed, and the indicators of hydrological alternation/range of variabili

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8

Maio, Joanne Di, and Lynda D. Corkum. "Relationship between the spatial distribution of freshwater mussels (Bivalvia: Unionidae) and the hydrological variability of rivers." Canadian Journal of Zoology 73, no. 4 (1995): 663–71. http://dx.doi.org/10.1139/z95-078.

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Hydrological variability refers to the differences in the patterns of flow among rivers. Drainage basins in southwestern Ontario and southeastern Michigan were selected a priori using records of flow variability. Hydrological variability was then used as a macrohabitat measure of mussel habitat. The distribution and relative abundance of mussels were determined in drainage basins of two hydrologically different types, three event responsive (i.e., hydrologically flashy) and three stable (i.e., hydrologically stable). Eleven event and 10 stable sites were sampled once each from 18 to 30 August

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9

Swannack, Todd, Jeffery Wozniak, William E. Grant, and Stephen E. Davis. "A Tool for Rapid Assessment of Hydrological Connectivity Patterns in Texas Coastal Wetlands: Linkages between Tidal Creeks and Coastal Ponds." Texas Water Journal 10, no. 1 (2019): 46–59. http://dx.doi.org/10.21423/twj.v10i1.7073.

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Coastal salt marshes are heterogeneous, spatially complex ecosystems. The degree of hydrological connectivity in these systems can be a significant driver in the flux of energy, organisms, and nutrients across the marsh landscape. In tidally driven systems, the frequency and magnitude of hydrological connection events results in the creation of a matrix of intermittently connected coastal wetland habitats, some of which may be hydrologically isolated or partially drained at any given time. Previous approaches to understanding landscape-level hydrologic connectivity patterns have required eithe

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10

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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11

Faye, Cheikh. "Rainfall and Discharge Variability in the Senegal River Basin Based on the IHA/RVA." Indonesian Journal of Social and Environmental Issues (IJSEI) 4, no. 1 (2023): 100–116. http://dx.doi.org/10.47540/ijsei.v4i1.711.

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The hydrological regime of a river is a driving force of its ecosystem. The operation of dams and locks has significant impacts on the hydrological situation of rivers. The objective of this study was to study the change and variability of precipitation and hydrological data in the Senegal River basin and to assess the change in the discharge regime of the Senegal River caused by the operation of the Manantali hydroelectric dam. Based on the IHA (Indicators of Hydrologic Alteration), a range of variability of thirty-three hydrological parameters was calculated and the hydrological alteration a

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12

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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13

Zhang, Lei, Desmond Ofosu Anim, and Amos T. Kabo-Bah. "Integration of Geographical Information Science (GIS) Technology in Hydrological Modeling: A Critical Review." Advanced Materials Research 838-841 (November 2013): 2284–91. http://dx.doi.org/10.4028/www.scientific.net/amr.838-841.2284.

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Current trends in hydrological modeling depend on spatial datasets, complex computational tasks and representation. As the need for the development of hydrological modeling capabilities have evolved, its integration with geographic information system (GIS) has provided a significant contribution to the efforts of hydrologic models. It serves the role of providing support in data capturing and improving hydrological modeling efforts by giving tools for effective analysis. This integration of GIS technology and hydrological modeling has resulted in great value and presents potential benefits to

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14

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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15

Pla-Rabes, Sergi, Manuel Toro, Bart Van De Vijver, et al. "Stability and endemicity of benthic diatom assemblages from different substrates in a maritime stream on Byers Peninsula, Livingston Island, Antarctica: the role of climate variability." Antarctic Science 25, no. 2 (2013): 254–69. http://dx.doi.org/10.1017/s0954102012000922.

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AbstractDiatom assemblages from four different substrates from a stream on Byers Peninsula were analysed during the summer. The substrate type was the main factor explaining the variability in the diatom assemblages. Sandy biofilms showed a higher diversity and a greater number of endemic species. Two main hydrological regimes were observed: 1) a hydrologically unstable period with high variability in stream flow and successive freezing and thawing periods, 2) a late summer hydrologically stable period, characterized by low stream velocity and variability. The structure of the diatom communiti

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16

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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17

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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18

Singh, Shailesh Kumar, and András Bárdossy. "Calibration of hydrological models on hydrologically unusual events." Advances in Water Resources 38 (March 2012): 81–91. http://dx.doi.org/10.1016/j.advwatres.2011.12.006.

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19

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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20

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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21

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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22

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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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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24

P. C., Shakti, Tsuyoshi Nakatani, and Ryohei Misumi. "Hydrological Simulation of Small River Basins in Northern Kyushu, Japan, During the Extreme Rainfall Event of July 5–6, 2017." Journal of Disaster Research 13, no. 2 (2018): 396–409. http://dx.doi.org/10.20965/jdr.2018.p0396.

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Extreme rainfall and associated flooding are common during the summer in Japan. Heavy rain caused extensive damage in many parts of Kyushu, Japan, on July 5–6, 2017. Many small mountainous river basins were subject to the core of this heavy rainfall event and were flooded, but no hydrological measurements were taken in most of these flooded basins during the event. There are few gauging stations in this mountainous region, and most that do exist are designed to monitor the larger watersheds. Consequently, it is difficult to determine the hydrological properties of the small subbasins within th

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25

Baran-Gurgul, Katarzyna, and Agnieszka Rutkowska. "Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction." Water 16, no. 24 (2024): 3689. https://doi.org/10.3390/w16243689.

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This editorial provides a definitive review of ten articles published in the Special Issue of the journal Water, entitled “Water Resource Management: Hydrological Modelling, Hydrological Cycles, and Hydrological Prediction” [...]

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Jehn, Florian U., Konrad Bestian, Lutz Breuer, Philipp Kraft, and Tobias Houska. "Using hydrological and climatic catchment clusters to explore drivers of catchment behavior." Hydrology and Earth System Sciences 24, no. 3 (2020): 1081–100. http://dx.doi.org/10.5194/hess-24-1081-2020.

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Abstract. The behavior of every catchment is unique. Still, we seek for ways to classify them as this helps to improve hydrological theories. In this study, we use hydrological signatures that were recently identified as those with the highest spatial predictability to cluster 643 catchments from the CAMELS dataset. We describe the resulting clusters concerning their behavior, location and attributes. We then analyze the connections between the resulting clusters and the catchment attributes and relate this to the co-variability of the catchment attributes in the eastern and western US. To exp

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27

Zhao, Liang, Yu Liu, and Yong Luo. "Assessing Hydrological Connectivity Mitigated by Reservoirs, Vegetation Cover, and Climate in Yan River Watershed on the Loess Plateau, China: The Network Approach." Water 12, no. 6 (2020): 1742. http://dx.doi.org/10.3390/w12061742.

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Hydrologic connectivity is related to the water-mediated transport of matter, energy, and organisms within or between elements of the hydrologic cycle. It reflects the hydrological consequences caused by topographic, land cover, and climatic factors, and is an important tool to characterize and predict the hydrological responses to climate and landscape change. In the Loess Plateau region, a large number of reservoirs have been constructed to trap sediment and storage water for drinking, irrigation, and industries. The land cover has been significantly reshaped in the past decades. These chang

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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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R, Mukuka, and Nyirenda E. "Improving Discharge Prediction for Poorly Gauged Hydropower Potential Sites – A Case Study of Mabula Kapi Site." International Journal of Innovative Science and Research Technology 8, no. 2 (2023): 1521–30. https://doi.org/10.5281/zenodo.7698410.

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According to estimates from previous energy studies, Zambia has a hydropower generation potential of more than 6,000 MW. Development of small hydropower plants which are widely considered to be renewable energy technology will help to foster sustainable development as well as increase access to electricity in the country. However, most of the small hydropower potential sites which are located in rural or remote areas are poorly gauged, lacking adequate streamflow and/or rainfall data required for hydropower planning and design. As a result, a number of sites are crudely planned, merely using h

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Daide, Fatima, Thomas Hasiotis, Soumaya Nabih, et al. "Assessing Hydrological Alterations and Environmental Flow Components in the Beht River Basin, Morocco, Using Integrated SWAT and IHA Models." Hydrology 12, no. 5 (2025): 109. https://doi.org/10.3390/hydrology12050109.

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This study presents a comprehensive analysis of hydrological alterations and environmental flow components in the Beht River basin in northwest Morocco, using a coupled approach involving the Soil and Water Assessment Tool (SWAT) for hydrological modeling, the Indicators of Hydrologic Alteration (IHA) for flow regime assessment, and the Standardized Precipitation Index (SPI) for drought characterization. The SWAT model, run on a daily time step, showed satisfactory performance in terms of statistical criteria for both calibration and validation periods, despite encountering limitations, and pr

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Cushman, S. "Hydrological." Interdisciplinary Studies in Literature and Environment 12, no. 1 (2005): 224. http://dx.doi.org/10.1093/isle/12.1.224.

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Schulze, R. E. "Impacts of global climate change in a hydrologically vulnerable region: challenges to South African hydrologists." Progress in Physical Geography: Earth and Environment 21, no. 1 (1997): 113–36. http://dx.doi.org/10.1177/030913339702100107.

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South Africa is already hydrologically vulnerable and this is likely to be exacerbated by both nonpermanent ENSO-related as well as more permanently greenhouse-gas forced climate changes. Climate change effects are explained by way of the hydrological equation. This serves as a backdrop to a brief review, in a hydrological context, of projected perturbations to temperature, rainfall and potential evaporation, over southern Africa. Methodologies for simulating hydro logical responses to climate change are assessed. These include more direct GCM-derived output, with some emphasis on recent advan

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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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Ryu, Jae-Hee, Ji-Eun Kim, Jin-Young Lee, Hyun-Han Kwon, and Tae-Woong Kim. "Estimating Optimal Design Frequency and Future Hydrological Risk in Local River Basins According to RCP Scenarios." Water 14, no. 6 (2022): 945. http://dx.doi.org/10.3390/w14060945.

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In South Korea, flood damage mainly occurs around rivers; thus, it is necessary to determine the optimal design frequency for river basins to prevent flood damage. However, there are not enough studies showing the effect of climate change on hydrologic design frequency. Therefore, to estimate the optimal design frequency according to future climate change scenarios, this study examined urban flooding area and extreme rainfall frequency that can change in the future. After estimating the optimal design frequency, hydrological risks of 413 local river basins were evaluated according to Represent

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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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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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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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Tian, Naixu, Yue Zhang, Jianwei Li, et al. "Evaluation and Optimization of Hydrological Connectivity Based on Graph Theory: A Case Study in Dongliao River Basin, China." Water 14, no. 23 (2022): 3958. http://dx.doi.org/10.3390/w14233958.

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Hydrological connectivity affects the material cycling and energy transfer of ecosystems and is an important indicator for assessing the function of aquatic ecosystems. Therefore, clarification of hydrologic connectivity and its optimization methods is essential for basin water resources management and other problems; however, most of the current research is focused on intermittently flooded areas, especially in terms of optimization, and on hydrological regulation within mature water structures, while research on hydrological connectivity in dry, low rainfall plain areas remains scarce. Based

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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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Wanders, Niko, Stephan Thober, Rohini Kumar, et al. "Development and Evaluation of a Pan-European Multimodel Seasonal Hydrological Forecasting System." Journal of Hydrometeorology 20, no. 1 (2019): 99–115. http://dx.doi.org/10.1175/jhm-d-18-0040.1.

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Abstract Hydrological forecasts with a high temporal and spatial resolution are required to provide the level of information needed by end users. So far high-resolution multimodel seasonal hydrological forecasts have been unavailable due to 1) lack of availability of high-resolution meteorological seasonal forecasts, requiring temporal and spatial downscaling; 2) a mismatch between the provided seasonal forecast information and the user needs; and 3) lack of consistency between the hydrological model outputs to generate multimodel seasonal hydrological forecasts. As part of the End-to-End Demo

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Junqueira, Rubens, Marcelo R. Viola, Jhones da S. Amorim, et al. "Hydrological Retrospective and Historical Drought Analysis in a Brazilian Savanna Basin." Water 14, no. 14 (2022): 2178. http://dx.doi.org/10.3390/w14142178.

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Analyzing historical droughts is essential to improve the assessment of future hydrological risks and to understand the effects of climate variability on streamflow. However, prolonged and consistent hydrological time series are scarce in the Brazilian savanna region. This study aimed to analyze the performance of climate reanalysis products in precipitation estimation, hydrological modeling, and historical drought analysis in a Brazilian savanna basin. For this purpose, precipitation data from the twentieth-century atmospheric model ensemble (ERA-20CM) and the land component of the fifth gene

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Mangukiya, Nikunj K., Kanneganti Bhargav Kumar, Pankaj Dey, et al. "CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India." Earth System Science Data 17, no. 2 (2025): 461–91. https://doi.org/10.5194/essd-17-461-2025.

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Abstract. We introduce CAMELS-IND (Catchment Attributes and MEteorology for Large-sample Studies – India), a dataset containing hydrometeorological time series and catchment attributes for 472 catchments in Peninsular India, of which 228 catchments have observed streamflow data available for over 30 % of the period between 1980 to 2020. Peninsular India covers 15 interstate river basins defined by the Central Water Commission (CWC), where river flow and water level datasets are available for several gauge stations through the open-source India Water Resources Information System (India-WRIS). H

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Snieder, Everett, and Usman T. Khan. "A diversity-centric strategy for the selection of spatio-temporal training data for LSTM-based streamflow forecasting." Hydrology and Earth System Sciences 29, no. 3 (2025): 785–98. https://doi.org/10.5194/hess-29-785-2025.

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Abstract. Deep learning models are increasingly being applied to streamflow forecasting problems. Their success is in part attributed to the large and hydrologically diverse datasets on which they are trained. However, common data selection methods fail to explicitly account for hydrological diversity contained within training data. In this research, clustering is used to characterise temporal and spatial diversity, in order to better understand the importance of hydrological diversity within regional training datasets. This study presents a novel, diversity-based resampling approach to creati

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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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Odey, Golden, and Younghyun Cho. "Event-Based vs. Continuous Hydrological Modeling with HEC-HMS: A Review of Use Cases, Methodologies, and Performance Metrics." Hydrology 12, no. 2 (2025): 39. https://doi.org/10.3390/hydrology12020039.

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This study critically examines the applications of the Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) in hydrological research from 2000 to 2023, with a focus on its use in event-based and continuous simulations. A bibliometric analysis reveals a steady growth in research productivity and identifies key thematic areas, including hydrologic modeling, climate change impact assessment, and land use analysis. Event-based modeling, employing methods such as the SCS curve number (CN) and SCS unit hydrograph, demonstrates exceptional performance in simulating short-term hydrologic

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Valdés-Pineda, Rodrigo, Juan B. Valdés, Sungwook Wi, Aleix Serrat-Capdevila, and Tirthankar Roy. "Improving Operational Short- to Medium-Range (SR2MR) Streamflow Forecasts in the Upper Zambezi Basin and Its Sub-Basins Using Variational Ensemble Forecasting." Hydrology 8, no. 4 (2021): 188. http://dx.doi.org/10.3390/hydrology8040188.

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The combination of Hydrological Models and high-resolution Satellite Precipitation Products (SPPs) or regional Climatological Models (RCMs), has provided the means to establish baselines for the quantification, propagation, and reduction in hydrological uncertainty when generating streamflow forecasts. This study aimed to improve operational real-time streamflow forecasts for the Upper Zambezi River Basin (UZRB), in Africa, utilizing the novel Variational Ensemble Forecasting (VEF) approach. In this regard, we describe and discuss the main steps required to implement, calibrate, and validate a

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赖, 厚桂. "Hydrologic Data Processing System in Restoring Printing Hydrological Yearbook." Journal of Water Resources Research 04, no. 05 (2015): 477–80. http://dx.doi.org/10.12677/jwrr.2015.45059.

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Pardo-Loaiza, Jesús, Abel Solera, Rafael J. Bergillos, Javier Paredes-Arquiola, and Joaquín Andreu. "Improving Indicators of Hydrological Alteration in Regulated and Complex Water Resources Systems: A Case Study in the Duero River Basin." Water 13, no. 19 (2021): 2676. http://dx.doi.org/10.3390/w13192676.

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Assessing the health of hydrological systems is vital for the conservation of river ecosystems. The indicators of hydrologic alteration are among the most widely used parameters. They have been traditionally assessed at the scale of river reaches. However, the use of such indicators at the basin scale is relevant for water resource management since there is an urgent need to meet environmental objectives to mitigate the effects of present and future climatic conditions. This work proposes a methodology to estimate the indicators of hydrological alteration at the basin scale in regulated system

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Caetano, Jordana Moura, and Derblai Casaroli. "Tendências dos modelos hidrológicos integrados aos sistemas de informações geográficas a partir da cienciometria." Comunicata Scientiae 7, no. 3 (2016): 406. http://dx.doi.org/10.14295/cs.v7i3.1197.

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The remote sensing and Geographic Information Systems (GIS) development have encouraged and improved the use and spansion of hydrological models worldwide. This development allows the use of hydrological models, simulating watersheds systems operation in a more simple, economical and realistic way. In order to maximize this integration, new computational tools, hydrological models and GIS are being developed. This study aimed to apply the scientometric study to quantify and verify the tendencies of the scientific publications of hydrological models and their integration with geographic informa

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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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