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Journal articles on the topic 'Hydrologic modelling'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Guilpart, Etienne, Vahid Espanmanesh, Amaury Tilmant, and François Anctil. "Combining split-sample testing and hidden Markov modelling to assess the robustness of hydrological models." Hydrology and Earth System Sciences 25, no. 8 (2021): 4611–29. http://dx.doi.org/10.5194/hess-25-4611-2021.

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Abstract. The impacts of climate and land-use changes make the stationary assumption in hydrology obsolete. Moreover, there is still considerable uncertainty regarding the future evolution of the Earth’s climate and the extent of the alteration of flow regimes. Climate change impact assessment in the water sector typically involves a modelling chain in which a hydrological model is needed to generate hydrologic projections from climate forcings. Considering the inherent uncertainty of the future climate, it is crucial to assess the performance of the hydrologic model over a wide range of clima

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Cisty, Milan, and Lubomir Celar. "Using R in Water Resources Education." International Journal for Innovation Education and Research 3, no. 10 (2015): 97–116. http://dx.doi.org/10.31686/ijier.vol3.iss10.451.

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This review paper will deal with the possibilities of applying the R programming language in water resources and hydrologic applications in education and research. The objective of this paper is to present some features and packages that make R a powerful environment for analysing data from the hydrology and water resources management fields, hydrological modelling, the post processing of the results of such modelling, and other task. R is maintained by statistical programmers with the support of an increasing community of users from many different backgrounds, including hydrologists, which al

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Stella, Juan M., and Glenn S. Warner. "Modelling a hydrologic Black-Box." Tecnología y ciencias del agua 09, no. 1 (2018): 101–12. http://dx.doi.org/10.24850/j-tyca-2018-01-07.

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Tiwari, K. N., P. Kumar, M. Sebastian, and D. K. Pal. "Hydrologic modelling for runoff determination." International Journal of Water Resources Development 7, no. 3 (1991): 178–84. http://dx.doi.org/10.1080/07900629108722510.

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Noor, Hamzeh, Mahdi Vafakhah, Masoud Taheriyoun, and Mahnoosh Moghadasi. "Hydrology modelling in Taleghan mountainous watershed using SWAT." Journal of Water and Land Development 20, no. 1 (2014): 11–18. http://dx.doi.org/10.2478/jwld-2014-0003.

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Abstract Mountainous regions in Iran are important sources of surface water supply and groundwater recharge. Therefore, accurate simulation of hydrologic processes in mountains at large scales is important for water resource management and for watershed management planning. Snow hydrology is the more important hydrologic process in mountainous watersheds. Therefore, streamflow simulation in mountainous watersheds is often challenging because of irregular topography and complex hydrological processes. In this study, the Soil and Water Assessment Tool (SWAT) was used to model daily runoff in the

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Cranmer, A. J., N. Kouwen, and S. F. Mousavi. "Proving WATFLOOD: modelling the nonlinearities of hydrologic response to storm intensities." Canadian Journal of Civil Engineering 28, no. 5 (2001): 837–55. http://dx.doi.org/10.1139/l01-049.

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This paper examines the effects of modelling the nonlinearities of hydrologic response to various storm intensities. Radar rainfall data, remotely sensed land use and land cover data, measured streamflows, and meteorological data were incorporated into the distributed flood forecasting model WATFLOOD to synthesize runoff hydrographs for three significant warm weather rainfall events occurring in 1995. The watershed selected for study was the 288 km2 Duffins Creek drainage basin in southern Ontario. The effects of scaling radar rainfall amounts to match regional storm intensities on the synthes

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Haberlandt, U. "From hydrological modelling to decision support." Advances in Geosciences 27 (August 23, 2010): 11–19. http://dx.doi.org/10.5194/adgeo-27-11-2010.

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Abstract. Decision support for planning and management of water resources needs to consider many target criteria simultaneously like water availability, water quality, flood protection, agriculture, ecology, etc. Hydrologic models provide information about the water balance components and are fundamental for the simulation of ecological processes. Objective of this contribution is to discuss the suitability of classical hydrologic models on one hand and of complex eco-hydrologic models on the other hand to be used as part of decision support systems. The discussion is based on results from two

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Banda, Vincent Dzulani, Rimuka Bloodless Dzwairo, Sudhir Kumar Singh, and Thokozani Kanyerere. "Hydrological Modelling and Climate Adaptation under Changing Climate: A Review with a Focus in Sub-Saharan Africa." Water 14, no. 24 (2022): 4031. http://dx.doi.org/10.3390/w14244031.

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Empirical evidence continues to show that climate change remains a threat to the stability of the hydrologic system. As the climate system interacts with the hydrologic cycle, one significant repercussion of global warming includes changes in water availability at both regional and local scales. Climate change adaptation is intrinsically difficult to attain due to the dynamic earth system and lack of a comprehensive understanding of future climate and its associated uncertainties. Mostly in developing countries, climate adaptation is hampered by scarcity of good quality and adequate hydro-mete

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9

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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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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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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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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Krause, P., D. P. Boyle, and F. Bäse. "Comparison of different efficiency criteria for hydrological model assessment." Advances in Geosciences 5 (December 16, 2005): 89–97. http://dx.doi.org/10.5194/adgeo-5-89-2005.

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Abstract. The evaluation of hydrologic model behaviour and performance is commonly made and reported through comparisons of simulated and observed variables. Frequently, comparisons are made between simulated and measured streamflow at the catchment outlet. In distributed hydrological modelling approaches, additional comparisons of simulated and observed measurements for multi-response validation may be integrated into the evaluation procedure to assess overall modelling performance. In both approaches, single and multi-response, efficiency criteria are commonly used by hydrologists to provide

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Pietroniro, A., V. Fortin, N. Kouwen, et al. "Using the MESH modelling system for hydrological ensemble forecasting of the Laurentian Great Lakes at the regional scale." Hydrology and Earth System Sciences Discussions 3, no. 4 (2006): 2473–521. http://dx.doi.org/10.5194/hessd-3-2473-2006.

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Abstract. Environment Canada has been developing a community environmental modelling system (Modélisation Environmentale Communautaire – MEC), which is designed to facilitate coupling between models focusing on different components of the earth system. The ultimate objective of MEC is to use the coupled models to produce operational forecasts. MESH (MEC – Surface and Hydrology), a configuration of MEC currently under development, is specialized for coupled land-surface and hydrological models. To determine the specific requirements for MESH, its different components were implemented on the Lau

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Pietroniro, A., V. Fortin, N. Kouwen, et al. "Development of the MESH modelling system for hydrological ensemble forecasting of the Laurentian Great Lakes at the regional scale." Hydrology and Earth System Sciences 11, no. 4 (2007): 1279–94. http://dx.doi.org/10.5194/hess-11-1279-2007.

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Abstract. Environment Canada has been developing a community environmental modelling system (Modélisation Environmentale Communautaire – MEC), which is designed to facilitate coupling between models focusing on different components of the earth system. The ultimate objective of MEC is to use the coupled models to produce operational forecasts. MESH (MEC – Surface and Hydrology), a configuration of MEC currently under development, is specialized for coupled land-surface and hydrological models. To determine the specific requirements for MESH, its different components were implemented on the Lau

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Prepas, Ellie E., Gordon Putz, Daniel W. Smith, Janice M. Burke, and J. Douglas MacDonald. "The FORWARD Project: Objectives, framework and initial integration into a Detailed Forest Management Plan in Alberta." Forestry Chronicle 84, no. 3 (2008): 330–37. http://dx.doi.org/10.5558/tfc84330-3.

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The Forest Watershed and Riparian Disturbance (FORWARD) project input into the Millar Western Forest Products Ltd. Detailed Forest Management Plan consists of three main components: 1) watershed and stream layer maps and associated datasets; 2) soil and wetland layer maps and associated datasets; and 3) a lookup table that permits planners to determine runoff coefficients (the variable selected for hydrological modelling) for functional first order watersheds, based upon various site factors and time since disturbance. The watershed and stream layer component includes a hydrological network, a

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Høybye, Jan A. "Uncertainty Analysis in Water Quality Modelling." Hydrology Research 27, no. 3 (1996): 203–14. http://dx.doi.org/10.2166/nh.1996.0005.

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An important part of regional planning of water resources and quality is efficient design of monitoring systems and proper use of hydrologic models (Beven 1993). In the design of monitoring systems as well as validation of numerical models, based on, for example, the equation of continuity such as hydrologic routing models and mass balance nutrient models, it is essential to estimate the uncertainties of the model-predictions. This paper presents an implementation of a first-order analysis for estimating the error-propagation when introducing mass balance models as to predict nutrient-concentr

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Chang, Fi-John, and Shenglian Guo. "Advances in Hydrologic Forecasts and Water Resources Management." Water 12, no. 6 (2020): 1819. http://dx.doi.org/10.3390/w12061819.

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The impacts of climate change on water resources management as well as the increasing severe natural disasters over the last decades have caught global attention. Reliable and accurate hydrological forecasts are essential for efficient water resources management and the mitigation of natural disasters. While the notorious nonlinear hydrological processes make accurate forecasts a very challenging task, it requires advanced techniques to build accurate forecast models and reliable management systems. One of the newest techniques for modelling complex systems is artificial intelligence (AI). AI

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Domingo, N. D. Sto, A. Refsgaard, O. Mark, and B. Paludan. "Flood analysis in mixed-urban areas reflecting interactions with the complete water cycle through coupled hydrologic-hydraulic modelling." Water Science and Technology 62, no. 6 (2010): 1386–92. http://dx.doi.org/10.2166/wst.2010.365.

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The potential devastating effects of urban flooding have given high importance to thorough understanding and management of water movement within catchments, and computer modelling tools have found widespread use for this purpose. The state-of-the-art in urban flood modelling is the use of a coupled 1D pipe and 2D overland flow model to simultaneously represent pipe and surface flows. This method has been found to be accurate for highly paved areas, but inappropriate when land hydrology is important. The objectives of this study are to introduce a new urban flood modelling procedure that is abl

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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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Yusop, Z., C. H. Chan, and A. Katimon. "Runoff characteristics and application of HEC-HMS for modelling stormflow hydrograph in an oil palm catchment." Water Science and Technology 56, no. 8 (2007): 41–48. http://dx.doi.org/10.2166/wst.2007.690.

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Rainfall-runoff processes in a small oil palm catchment (8.2 ha) in Johor, Malaysia were examined. Storm hydrographs show rapid responses to rainfall with a short time to peak. The estimated initial hydrologic loss for the oil palm catchment is 5 mm. Despite the low initial loss, the catchment exhibits a high proportion of baseflow, approximately 54% of the total runoff. On an event basis, the stormflow response factor and runoff coefficient ranges from 0.003 to 0.21, and 0.02 to 0.44, respectively. Peakflow and stormflow volume were moderately correlated with rainfall. The hydrographs were sa

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Höge, Marvin, Andreas Scheidegger, Marco Baity-Jesi, Carlo Albert, and Fabrizio Fenicia. "Improving hydrologic models for predictions and process understanding using neural ODEs." Hydrology and Earth System Sciences 26, no. 19 (2022): 5085–102. http://dx.doi.org/10.5194/hess-26-5085-2022.

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Abstract. Deep learning methods have frequently outperformed conceptual hydrologic models in rainfall-runoff modelling. Attempts of investigating such deep learning models internally are being made, but the traceability of model states and processes and their interrelations to model input and output is not yet fully understood. Direct interpretability of mechanistic processes has always been considered an asset of conceptual models that helps to gain system understanding aside of predictability. We introduce hydrologic neural ordinary differential equation (ODE) models that perform as well as

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Chiew, F. H. S., H. Zheng, and J. Vaze. "Implication of calibration period on modelling climate change impact on future runoff." Proceedings of the International Association of Hydrological Sciences 371 (June 12, 2015): 3–6. http://dx.doi.org/10.5194/piahs-371-3-2015.

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Abstract. This paper explores the consideration and implication of calibration period on the modelled climate change impact on future runoff. The results show that modelled runoff and hydrologic responses can be influenced by the choice of historical data period used to calibrate and develop the hydrological model. Modelling approaches that do not take this into account may therefore underestimate the range and uncertainty in future runoff projections. Nevertheless, the uncertainty associated with the choice of hydrological models and consideration of calibration dataset for modelling climate

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St-Hilaire, André. "Floods in a changing climate: hydrologic modelling." Canadian Water Resources Journal / Revue canadienne des ressources hydriques 39, no. 3 (2014): 372–73. http://dx.doi.org/10.1080/07011784.2014.942108.

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Newham, LachlanT H., and David A. Post. "Preface to: The modelling of hydrologic systems." Environmental Modelling & Software 18, no. 8-9 (2003): 681. http://dx.doi.org/10.1016/s1364-8152(03)00069-0.

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Lin, Gwo-Fong, and Fong-Chung Lee. "Assessment of aggregated hydrologic time series modelling." Journal of Hydrology 156, no. 1-4 (1994): 447–58. http://dx.doi.org/10.1016/0022-1694(94)90089-2.

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Mendes, Juliana, and Rodrigo Maia. "Hydrologic Modelling Calibration for Operational Flood Forecasting." Water Resources Management 30, no. 15 (2016): 5671–85. http://dx.doi.org/10.1007/s11269-016-1509-1.

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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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Schröder, B. "Pattern, process, and function in landscape ecology and catchment hydrology – how can quantitative landscape ecology support predictions in ungauged basins (PUB)?" Hydrology and Earth System Sciences Discussions 3, no. 3 (2006): 1185–214. http://dx.doi.org/10.5194/hessd-3-1185-2006.

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Abstract. The understanding of landscape controls on the natural variability of hydrologic processes is an important research question of the PUB (Predictions in Ungauged Basins) initiative. Quantitative landscape ecology, which aims at understanding the relationships of patterns and processes in dynamic heterogeneous landscapes, may greatly contribute to this research effort by assisting the coupling of ecological and hydrological models. The present paper reviews the currently emerging rapprochement between ecological and hydrological research. It points out some common concepts and future r

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Bhattacharya, Biswa, Maurizio Mazzoleni, and Reyne Ugay. "Flood Inundation Mapping of the Sparsely Gauged Large-Scale Brahmaputra Basin Using Remote Sensing Products." Remote Sensing 11, no. 5 (2019): 501. http://dx.doi.org/10.3390/rs11050501.

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Sustainable water management is one of the important priorities set out in the Sustainable Development Goals (SDGs) of the United Nations, which calls for efficient use of natural resources. Efficient water management nowadays depends a lot upon simulation models. However, the availability of limited hydro-meteorological data together with limited data sharing practices prohibits simulation modelling and consequently efficient flood risk management of sparsely gauged basins. Advances in remote sensing has significantly contributed to carrying out hydrological studies in ungauged or sparsely ga

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Laganier, O., P. A. Ayral, D. Salze, and S. Sauvagnargues. "A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon River basin (France)." Natural Hazards and Earth System Sciences 14, no. 11 (2014): 2899–920. http://dx.doi.org/10.5194/nhess-14-2899-2014.

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Abstract. Mediterranean catchments are regularly affected by fast and flash floods. Numerous hydrologic models have been developed, and allow modelling of these floods. However, these approaches often concern average-size basins of a few hundred km2. At larger scales (>1000 km2), coupling of hydrologic and hydraulic models appears to be an adapted solution. This study has as its first objective the evaluation of the performances of a coupling of models for flood hydrograph modelling. Secondly, the coupling results are compared with those of other modelling options. The aim of these comparis

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Silvestro, F., S. Gabellani, F. Delogu, R. Rudari, and G. Boni. "Exploiting remote sensing land surface temperature in distributed hydrological modelling: the example of the Continuum model." Hydrology and Earth System Sciences 17, no. 1 (2013): 39–62. http://dx.doi.org/10.5194/hess-17-39-2013.

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Abstract. Full process description and distributed hydrological models are very useful tools in hydrology as they can be applied in different contexts and for a wide range of aims such as flood and drought forecasting, water management, and prediction of impact on the hydrologic cycle due to natural and human-induced changes. Since they must mimic a variety of physical processes, they can be very complex and with a high degree of parameterization. This complexity can be increased by necessity of augmenting the number of observable state variables in order to improve model validation or to allo

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Essenfelder, A. H., and C. Giupponi. "A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under Interbasin Water Transfer regimes." Environmental Modelling & Software 131 (September 2020): 104779. http://dx.doi.org/10.1016/j.envsoft.2020.104779.

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Schröder, B. "Pattern, process, and function in landscape ecology and catchment hydrology – how can quantitative landscape ecology support predictions in ungauged basins?" Hydrology and Earth System Sciences 10, no. 6 (2006): 967–79. http://dx.doi.org/10.5194/hess-10-967-2006.

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Abstract. The understanding of landscape controls on the natural variability of hydrologic processes is an important research question of the PUB (Predictions in Ungauged Basins) initiative. Quantitative landscape ecology, which aims at understanding the relationships of patterns and processes in dynamic heterogeneous landscapes, may greatly contribute to this research effort by assisting the coupling of ecological and hydrological models. The present paper reviews the currently emerging rapprochement between ecological and hydrological research. It points out some common concepts and future r

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Ricard, Simon, Philippe Lucas-Picher, Antoine Thiboult, and François Anctil. "Producing reliable hydrologic scenarios from raw climate model outputs without resorting to meteorological observations." Hydrology and Earth System Sciences 27, no. 12 (2023): 2375–95. http://dx.doi.org/10.5194/hess-27-2375-2023.

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Abstract. A simplified hydroclimatic modelling workflow is proposed to quantify the impact of climate change on water discharge without resorting to meteorological observations. This alternative approach is designed by combining asynchronous hydroclimatic modelling and quantile perturbation applied to streamflow observations. Calibration is run by forcing hydrologic models with raw climate model outputs using an objective function that excludes the day-to-day temporal correlation between simulated and observed hydrographs. The resulting hydrologic scenarios provide useful and reliable informat

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Caja, CC, NL Ibunes, JA Paril, et al. "Effects of Land Cover Changes to the Quantity of Water Supply and Hydrologic Cycle using Water Balance Models." MATEC Web of Conferences 150 (2018): 06004. http://dx.doi.org/10.1051/matecconf/201815006004.

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The hydrologic cycle is a recurring consequence of different forms of movement of water and changes of its physical state on a given area of the earth. The land cover of a certain area is a significant factor affecting the watershed hydrology. This also affects the quantity of water supply within the watershed. This study assessed the impacts of the changing land cover of the Ipo watershed, a part of the Angat-Ipo-La Mesa water system which is the main source of Metro Manila’s water supply. The environmental impacts were assessed using the interaction of vegetation cover changes and the output

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Burlando, Paolo, Francesca Pellicciotti, and Ulrich Strasser. "Modelling Mountainous Water Systems Between Learning and Speculating Looking for Challenges." Hydrology Research 33, no. 1 (2002): 47–74. http://dx.doi.org/10.2166/nh.2002.0004.

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For many years considerable efforts have been put into investigating and modelling hydrological processes of mountainous catchments. On the one hand, the complexity and intrinsically high variability of the involved processes as well as insufficient knowledge of the underlying physical mechanisms still induce large uncertainties in understanding observed phenomena and predicting the behaviour of the system. On the other hand, the demand for models that are able to simulate mountainous water resource systems is increasing because of the needs related to both water exploitation and water conserv

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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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Rajmane, Dr Dattatray K., Mr Shubham D. Ghungarde, Mr Satyam B. Daule, Mr Devidas G. Darandale, and Mr Dnyaneshwar D. Kashid. "Simulation of Rainfall Run off Process using HEC-HMS: A Case Study of Upper Godavari Basin (M.S., India)." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (2023): 1437–48. http://dx.doi.org/10.22214/ijraset.2023.54899.

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Abstract: Runoff plays an important role in the hydrological cycle by returning excess precipitation to the oceans and controlling how much water flows into stream systems. “Modelling runoff can help to understand, control, and monitor the quality and quantity of water resources.” (Jan Sitterson et. al.) Therefore, the present work entitled “Simulation of Rainfall Runoff process using HEC-HMS; A Case study of Upper Godavari Basin (M.S., India)”is undertaken for the present research work. The latest version Q-GIS 3.18 is used for numerous purposes such as Maps preparation, Implementation of The

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Liu, Shaofeng, Yaping Shao, Chuanguo Yang, Zhaohui Lin, and Min Li. "Improved regional hydrologic modelling by assimilation of streamflow data into a regional hydrologic model." Environmental Modelling & Software 31 (May 2012): 141–49. http://dx.doi.org/10.1016/j.envsoft.2011.12.005.

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Habtezion, Noah, Mohsen Tahmasebi Nasab, and Xuefeng Chu. "How does DEM resolution affect microtopographic characteristics, hydrologic connectivity, and modelling of hydrologic processes?" Hydrological Processes 30, no. 25 (2016): 4870–92. http://dx.doi.org/10.1002/hyp.10967.

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Shu, Yanfeng, Kerry Taylor, Prasantha Hapuarachchi, and Chris Peters. "Modelling provenance in hydrologic science: a case study on streamflow forecasting." Journal of Hydroinformatics 14, no. 4 (2012): 944–59. http://dx.doi.org/10.2166/hydro.2012.134.

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The web, and more recently the concept and technology of the Semantic Web, has created a wealth of new ideas and innovative tools for data management, integration and computation in an open framework and at a very large scale. One area of particular interest to the science of hydrology is the capture, representation, inference and presentation of provenance information: information that helps to explain how data were computed and how they should be interpreted. This paper is among the first to bring recent developments in the management of provenance developed for e-science and the Semantic We

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Laganier, O., P. A. Ayral, D. Salze, and S. Sauvagnargues. "A coupling of hydrologic and hydraulic models appropriate for the fast floods of the Gardon river basin (France): results and comparisons with others modelling options." Natural Hazards and Earth System Sciences Discussions 1, no. 5 (2013): 4635–80. http://dx.doi.org/10.5194/nhessd-1-4635-2013.

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Abstract. Mediterranean catchments are regularly affected by fast and flash floods. Numerous hydrologic models were developed, and allow to reconstruct these floods. However, these approaches often concern average size basins, of some hundreds km2. At more important scales (>1000 km2), a coupling of hydrologic and hydraulic models appears to be an adapted solution. This study analyses the performances of a coupling of models and compares them with those of others modelling strategies. The distributed SCS-LR hydrologic model implemented in the ATHYS modelling platform ( http://www.athys-soft

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Faisal, Islam M., Robert A. Young, and James W. Warner. "Integrated Economic-Hydrologic Modelling for Groundwater Basin Management." International Journal of Water Resources Development 13, no. 1 (1997): 21–34. http://dx.doi.org/10.1080/07900629749908.

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Xu, Chong-yu. "From GCMs to river flow: a review of downscaling methods and hydrologic modelling approaches." Progress in Physical Geography: Earth and Environment 23, no. 2 (1999): 229–49. http://dx.doi.org/10.1177/030913339902300204.

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The scientific literature of the past decade contains a large number of reports detailing the development of downscaling methods and the use of hydrologic models to assess the potential effects of climate change on a variety of water resource issues. This article reviews the current state of methodologies for simulating hydrological responses to global climate change. Emphasis is given to recent advances in climatic downscaling and the problems related to the practical application of appropriate models in impact studies. Following a discussion of the advantages and deficiencies of the various

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MacDonald, Ryan J., Sarah Boon, James M. Byrne, Mike D. Robinson, and Joseph B. Rasmussen. "Potential future climate effects on mountain hydrology, stream temperature, and native salmonid life history." Canadian Journal of Fisheries and Aquatic Sciences 71, no. 2 (2014): 189–202. http://dx.doi.org/10.1139/cjfas-2013-0221.

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Native salmonids of western North America are subject to many environmental pressures, most notably the effects of introduced species and environmental degradation. To better understand how native salmonids on the eastern slopes of the Canadian Rocky Mountains may respond to future changes in climate, we applied a process-based approach to hydrologic and stream temperature modelling. This study demonstrates that stream thermal regimes in western Alberta, Canada, may only warm during the summer period, while colder thermal regimes during spring, fall, and winter could result from response to ea

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Dan-Jumbo, Nimi G., and Marc Metzger. "Relative Effect of Location Alternatives on Urban Hydrology. The Case of Greater Port-Harcourt Watershed, Niger Delta." Hydrology 6, no. 3 (2019): 82. http://dx.doi.org/10.3390/hydrology6030082.

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Globally, cities in developing countries are urbanising at alarming rates, and a major concern to hydrologists and planners are the options that affect the hydrologic functioning of watersheds. Environmental impact assessment (EIA) has been recognised as a key sustainable development tool for mitigating the adverse impacts of planned developments, however, research has shown that planned developments can affect people and the environment significantly due to urban flooding that arises from increased paved surfaces. Flooding is a major sustainable development issue, which often result from incr

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Palla, A., J. J. Sansalone, I. Gnecco, and L. G. Lanza. "Storm water infiltration in a monitored green roof for hydrologic restoration." Water Science and Technology 64, no. 3 (2011): 766–73. http://dx.doi.org/10.2166/wst.2011.171.

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The objectives of this study are to provide detailed information about green roof performance in the Mediterranean climate (retained volume, peak flow reduction, runoff delay) and to identify a suitable modelling approach for describing the associated hydrologic response. Data collected during a 13-month monitoring campaign and a seasonal monitoring campaign (September–December 2008) at the green roof experimental site of the University of Genova (Italy) are presented together with results obtained in quantifying the green roof hydrologic performance. In order to examine the green roof hydrolo

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Olayinka, D. N., and H. E. Irivbogbe. "Estimation of Hydrological Outputs using HEC-HMS and GIS." July 2017 1, no. 2 (2017): 390–402. http://dx.doi.org/10.36263/nijest.2017.02.0054.

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Estimating runoff and understanding of the relationship between rainfall and runoff are of great importance in the management of flood. Several computer based hydrological models have been developed and used in simulating runoff in various watersheds in different parts of the world and in water resource studies. This study focuses on the combination of Geographic Information System (GIS) with Hydrologic Engineering Center –Hydrologic Modelling System (HEC-HMS) hydrological model to simulate runoff process of the adjoining areas of the Lagos Island and Eti-Osa Local Government Areas (LGAs). The

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Montanari, M., R. Hostache, P. Matgen, G. Schumann, L. Pfister, and L. Hoffmann. "Calibration and sequential updating of a coupled hydrologic-hydraulic model using remote sensing-derived water stages." Hydrology and Earth System Sciences Discussions 5, no. 6 (2008): 3213–45. http://dx.doi.org/10.5194/hessd-5-3213-2008.

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Abstract. Two of the most relevant components of any flood forecasting system, namely the rainfall-runoff and flood inundation models, increasingly benefit from the availability of spatially distributed Earth Observation data. With the advent of microwave remote sensing instruments and their all weather capabilities, new opportunities have emerged over the past decade for improved hydrologic and hydraulic model calibration and validation. However, the usefulness of remote sensing observations in coupled hydrologic and hydraulic models still requires further investigations. Radar remote sensing

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