Relevant bibliographies by topics / Rainfall runoff model

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Rainfall runoff model'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Rainfall runoff model"

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Swathi, V., K. Srinivasa Raju, Murari R. R. Varma, and S. Sai Veena. "Automatic calibration of SWMM using NSGA-III and the effects of delineation scale on an urban catchment." Journal of Hydroinformatics 21, no. 5 (2019): 781–97. http://dx.doi.org/10.2166/hydro.2019.033.

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Abstract The study aims at calibration of the storm water management model (SWMM) with non-dominated sorting genetic algorithm-III (NSGA-III) for urban catchment in Hyderabad, India. The SWMM parameters calibrated were Manning's roughness coefficient (N), depression storage for pervious and impervious areas (DP and Di), sub-catchment width (W), curve number (CN), drying time (dry) of soil and percentage of imperviousness (I). The efficacy of calibration was evaluated by comparing the observed and simulated peak flows and runoff using goodness-of-fit indices. The calibration takes into consider
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Bartlett, M. S., E. Daly, J. J. McDonnell, A. J. Parolari, and A. Porporato. "Stochastic rainfall-runoff model with explicit soil moisture dynamics." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 471, no. 2183 (2015): 20150389. http://dx.doi.org/10.1098/rspa.2015.0389.

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Stream runoff is perhaps the most poorly represented process in ecohydrological stochastic soil moisture models. Here we present a rainfall-runoff model with a new stochastic description of runoff linked to soil moisture dynamics. We describe the rainfall-runoff system as the joint probability density function (PDF) of rainfall, soil moisture and runoff forced by random, instantaneous jumps of rainfall. We develop a master equation for the soil moisture PDF that accounts explicitly for a general state-dependent rainfall-runoff transformation. This framework is then used to derive the joint rai
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Furumai, H., H. K. P. K. Jinadasa, M. Murakami, F. Nakajima, and R. K. Aryal. "Model description of storage and infiltration functions of infiltration facilities for urban runoff analysis by a distributed model." Water Science and Technology 52, no. 5 (2005): 53–60. http://dx.doi.org/10.2166/wst.2005.0108.

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Although there have been simulation researches focusing on reduction of stormwater peak flow by introduced infiltration facilities, model simulation of dynamic runoff behavior is still limited for frequently occurring rainfall events with weak intensity. Therefore, dynamic simulation was carried out in two urban drainages with infiltration facilities incorporated with a distributed model using two methods for describing functions of infiltration facilities. A method adjusting effective rainfall model gave poor simulation of runoff behavior in light rainfalls. Another method considering dynamic
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Yang, Xu, Xue-Yi You, Min Ji, and Ciren Nima. "Influence factors and prediction of stormwater runoff of urban green space in Tianjin, China: laboratory experiment and quantitative theory model." Water Science and Technology 67, no. 4 (2013): 869–76. http://dx.doi.org/10.2166/wst.2012.600.

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The effects of limiting factors such as rainfall intensity, rainfall duration, grass type and vegetation coverage on the stormwater runoff of urban green space was investigated in Tianjin. The prediction equation of stormwater runoff was established by the quantitative theory with the lab experimental data of soil columns. It was validated by three field experiments and the relative errors between predicted and measured stormwater runoff are 1.41, 1.52 and 7.35%, respectively. The results implied that the prediction equation could be used to forecast the stormwater runoff of urban green space.
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Moore, R. J. "The PDM rainfall-runoff model." Hydrology and Earth System Sciences 11, no. 1 (2007): 483–99. http://dx.doi.org/10.5194/hess-11-483-2007.

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Abstract. The Probability Distributed Model, or PDM, has evolved as a toolkit of model functions that together constitute a lumped rainfall-runoff model capable of representing a variety of catchment-scale hydrological behaviours. Runoff production is represented as a saturation excess runoff process controlled by the absorption capacity (of the canopy, surface and soil) whose variability within the catchment is characterised by a probability density function of chosen form. Soil drainage to groundwater is controlled by the water content in excess of a tension threshold, optionally inhibited b
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Todini, E. "The ARNO rainfall—runoff model." Journal of Hydrology 175, no. 1-4 (1996): 339–82. http://dx.doi.org/10.1016/s0022-1694(96)80016-3.

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Basha, H. A. "Simple Nonlinear Rainfall-Runoff Model." Journal of Hydrologic Engineering 5, no. 1 (2000): 25–32. http://dx.doi.org/10.1061/(asce)1084-0699(2000)5:1(25).

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Buchtele, Josef. "Runoff changes simulated using a rainfall-runoff model." Water Resources Management 7, no. 4 (1993): 273–87. http://dx.doi.org/10.1007/bf00872285.

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Sun, H., P. S. Cornish, and T. M. Daniell. "Digital Elevation Hydrological Modelling in a Small Catchment in South Australia." Hydrology Research 34, no. 3 (2003): 161–78. http://dx.doi.org/10.2166/nh.2003.0002.

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A rainfall runoff model based on a digital elevation model (DEM) was applied to a small catchment in Happy Valley, South Australia to predict catchment storm runoff. The DEM was used to partition the catchment into several thousand irregular shaped elements. These elements, with an average size of 825 m2 each, form an interconnected one-dimensional flow network for runoff routing. The rainfall runoff model is a kinematic flow model which combines the solving of flow continuity equation and the Manning's equation to generate surface and subsurface runoff. This study improves on the existing rai
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Vaze, J., D. A. Post, F. H. S. Chiew, J. M. Perraud, J. Teng, and N. R. Viney. "Conceptual Rainfall–Runoff Model Performance with Different Spatial Rainfall Inputs." Journal of Hydrometeorology 12, no. 5 (2011): 1100–1112. http://dx.doi.org/10.1175/2011jhm1340.1.

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Abstract Different methods have been used to obtain the daily rainfall time series required to drive conceptual rainfall–runoff models, depending on data availability, time constraints, and modeling objectives. This paper investigates the implications of different rainfall inputs on the calibration and simulation of 4 rainfall–runoff models using data from 240 catchments across southeast Australia. The first modeling experiment compares results from using a single lumped daily rainfall series for each catchment obtained from three methods: single rainfall station, Thiessen average, and average
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Dissertations / Theses on the topic "Rainfall runoff model"

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Marshall, Lucy Amanda Civil &amp Environmental Engineering Faculty of Engineering UNSW. "Bayesian analysis of rainfall-runoff models: insights to parameter estimation, model comparison and hierarchical model development." Awarded by:University of New South Wales. Civil and Environmental Engineering, 2006. http://handle.unsw.edu.au/1959.4/32268.

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One challenge that faces hydrologists in water resources planning is to predict the catchment???s response to a given rainfall. Estimation of parameter uncertainty (and model uncertainty) allows assessment of the risk in likely applications of hydrological models. Bayesian statistical inference, with computations carried out via Markov Chain Monte Carlo (MCMC) methods, offers an attractive approach to model specification, allowing for the combination of any pre-existing knowledge about individual models and their respective parameters with the available catchment data to assess both parameter
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Hundecha, Hirpa Yeshewatesfa. "Regionalization of parameters of a conceptual rainfall-runoff model." Stuttgart : Inst. für Wasserbau, 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=975655469.

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Fionda, Alexander Peter Anthony. "Rainfall-runoff model application in ungauged catchments in Scotland." Thesis, Uppsala universitet, Luft-, vatten och landskapslära, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-162181.

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The conceptual rainfall-runoff model Hysim is used to estimate the flow in ungauged catchments in Scotland by Scottish Water. However, there are non-quantified uncertainties associated with the outcomes of the modelling strategy used. In order to identify and quantify these uncertainties it was necessary to use the framework of proxy-basin validation in order to evaluate the performance of different modelling strategies.   The proxy-basin validation test requires hydrologically analogous catchments for the evaluation of models, a Region Of Influence regionalisation method was used in order gro
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Hundecha, Hirpa Yeshewatesfa. "Regionalization of parameters of a conceptual rainfall-runoff model." Stuttgart Inst. für Wasserbau, 2004. http://deposit.d-nb.de/cgi-bin/dokserv?idn=975655469.

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Ndiritu, John G. "An improved genetic algorithm for rainfall-runoff model calibration /." Title page, contents and abstract only, 1998. http://web4.library.adelaide.edu.au/theses/09PH/09phn337.pdf.

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Smith, Paul James. "Probabilistic flood forecasting using a distributed rainfall-runoff model." 京都大学 (Kyoto University), 2006. http://hdl.handle.net/2433/143966.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(工学)<br>甲第12267号<br>工博第2596号<br>新制||工||1366(附属図書館)<br>24103<br>UT51-2006-J260<br>京都大学大学院工学研究科都市社会工学専攻<br>(主査)教授 小尻 利治, 教授 池淵 周一, 教授 中北 英一<br>学位規則第4条第1項該当
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Tecle, Aregai, Paul Heinrich, John Leeper, and Jolene Tallsalt-Robertson. "Rainfall-Runoff Model for Black Creek Watershed, Navajo Nation." Arizona-Nevada Academy of Science, 2012. http://hdl.handle.net/10150/301297.

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From the Proceedings of the 2012 Meetings of the Hydrology Section - Arizona-Nevada Academy of Science - April 14,2012, Glendale Community College, Glendale, Arizona<br>This paper develops a rainfall-runoff model for estimating surface and peak flow rates from precipitation storm events on the Black Creek watershed in the Navajo Nation. The Black Creek watershed lies in the southern part of the Navajo Nation between the Defiance Plateau on the west and the Chuska Mountains on the east. The area is in the semiarid part of the Colorado Plateau on which there is about 10 inches of precipitation a
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Palanisamy, Bakkiyalakshmi. "Evaluation of SWAT model - subdaily runoff prediction in Texas watersheds." Texas A&M University, 2003. http://hdl.handle.net/1969.1/5921.

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Spatial variability of rainfall is a significant factor in hydrologic and water quality modeling. In recent years, characterizing and analyzing the effect of spatial variability of rainfall in hydrologic applications has become vital with the advent of remotely sensed precipitation estimates that have high spatial resolution. In this study, the effect of spatial variability of rainfall in hourly runoff generation was analyzed using the Soil and Water Assessment Tool (SWAT) for Big Sandy Creek and Walnut Creek Watersheds in North Central Texas. The area of the study catchments was 808 km2 and 1
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Goodrich, David Charles. "Basin Scale and Runoff Model Complexity." Department of Hydrology and Water Resources, University of Arizona (Tucson, AZ), 1990. http://hdl.handle.net/10150/614028.

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Distributed Rainfall-Runoff models are gaining widespread acceptance; yet, a fundamental issue that must be addressed by all users of these models is definition of an acceptable level of watershed discretization (geometric model complexity). The level of geometric model complexity is a function of basin and climatic scales as well as the availability of input and verification data. Equilibrium discharge storage is employed to develop a quantitative methodology to define a level of geometric model complexity commensurate with a specified level of model performance. Equilibrium storage ra
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JAIN, MAYUR. "RAINFALL-RUNOFF MODELLING OF BETWA BASIN USING SWAT TOOL." Thesis, DELHI TECHNOLOGICAL UNIVERSITY, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18819.

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The hydrologist is under stress that how to analyze the catchment so that it could manage it properly and develop water resource project. To reduce their complexity in analyzing various engineering problems like reservoir storage, flood protection, forecasting, drainage system design Hydrologists used hydrological modeling so that he could give a solution to the difficult problem. To find runoff from Betwa basin which comes under the Ganga basin, ArcSWAT software have been used along with ArcGIS software In Actual, SWAT is distributed parameter model which be used to find surplus
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Books on the topic "Rainfall runoff model"

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Wong, Tommy S. W. Kinematic-wave rainfall-runoff formulas. Nova Science Publishers, 2009.

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E, Johnson Lynn, Cooperative Institute for Research in the Atmosphere (Fort Collins, Colo.), and Forecast Systems Laboratory (U.S.), eds. F2D: A kinematic distributed rainfall-runoff model. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Forecast Systems Laboratory, 2000.

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E, Johnson Lynn, Cooperative Institute for Research in the Atmosphere (Fort Collins, Colo.), and Forecast Systems Laboratory (U.S.), eds. F2D: A kinematic distributed rainfall-runoff model. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Forecast Systems Laboratory, 2000.

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E, Johnson Lynn, Cooperative Institute for Research in the Atmosphere (Fort Collins, Colo.), and Forecast Systems Laboratory (U.S.), eds. F2D: A kinematic distributed rainfall-runoff model. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Oceanic and Atmospheric Research Laboratories, Forecast Systems Laboratory, 2000.

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5

Rankl, James G. A point-infiltration model for estimating runoff from rainfall on small basins in semiarid areas of Wyoming. U.S. G.P.O., 1990.

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Rientjes, Thomas Henricus Maria. Inverse modelling of the rainfall-runoff relation: A multi objective model calibration approach. Delft University Press, 2004.

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Nicasio, Sepúlveda, Puerto Rico Aqueduct and Sewer Authority., and Geological Survey (U.S.), eds. Real-time rainfall-runoff model of the Carraízo-reservoir basin in Puerto Rico. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Nicasio, Sepúlveda, Puerto Rico Aqueduct and Sewer Authority, and Geological Survey (U.S.), eds. Real-time rainfall-runoff model of the Carraízo-reservoir basin in Puerto Rico. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Boorman, D. B. A review of the flood studies report rainfall-runoff model parameter estimation equations. Institute of Hydrology, 1985.

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Nicasio, Sepúlveda, Puerto Rico Aqueduct and Sewer Authority, and Geological Survey (U.S.), eds. Real-time rainfall-runoff model of the Carraízo-reservoir basin in Puerto Rico. U.S. Dept. of the Interior, U.S. Geological Survey, 1996.

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Book chapters on the topic "Rainfall runoff model"

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Naresh, Aadhi, Harish Gupta, Mudavath Gopal Naik, Sandeep Hamsa, Manne Mohan Raju, and Dinesh C. S. Bisht. "Rainfall-runoff modeling using SWAT model." In Advances in Mathematical and Computational Modeling of Engineering Systems. CRC Press, 2023. http://dx.doi.org/10.1201/9781003367420-8.

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Hromadka, Theodore V., and Robert J. Whitley. "Rainfall-Runoff Model Criterion Variable Frequency Distributions." In Stochastic Integral Equations and Rainfall-Runoff Models. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-49309-6_5.

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Belarbi, Halima, Bénina Touaibia, Nadir Boumechra, Chérifa Abdelbaki, and Sakina Amiar. "Analysis of the Hydrological Behavior of Watersheds in the Context of Climate Change (Northwestern Algeria)." In Natural Disaster Science and Mitigation Engineering: DPRI reports. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2904-4_5.

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AbstractThe aim of this work is to study the temporal evolution of the rainfall-runoff relations of four basins in northwestern Algeria: the Tafna Maritime, Isser Sikkak, downstream Mouilah and Upper Tafna basins. The adopted approach consists of analyzing hydroclimatic variables using statistical methods and testing the nonstationarity of the rainfall-runoff relation by the cross-simulation method using the GR2M model. The results of the different statistical methods applied to the series of rainfall and hydrometric variables show a decrease due to a break in stationarity detected since the m
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Niemi, Tero J., Gerald Krebs, and Teemu Kokkonen. "Automated Approach for Rainfall-Runoff Model Generation." In New Trends in Urban Drainage Modelling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99867-1_103.

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Hromadka, Theodore V., and Robert J. Whitley. "Stochastic Integral Equations Applied to a Multi-Linear Rainfall-Runoff Model." In Stochastic Integral Equations and Rainfall-Runoff Models. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-49309-6_4.

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Andraos, Cynthia, and Wajdi Najem. "Multi-model Approach for Reducing Uncertainties in Rainfall-Runoff Models." In Advances in Hydroinformatics. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5436-0_43.

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Ling, Lloyd, and Zulkifli Yusop. "The Collective Visual Representation of Rainfall-Runoff Difference Model." In Advances in Visual Informatics. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25939-0_24.

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Upreti, Pankaj, and C. S. P. Ojha. "Performance Assessment of Modest Event-Based Rainfall-Runoff Model." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9147-9_21.

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Harsanto, Puji, Dian Kusumaningrum, Djoko Legono, Adam Pamuji Rahardjo, and Rachmad Jayadi. "Comparison of Multi-satellite Rainfall Data in Runoff Model." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6026-2_51.

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Tan, Wen Jia, Lloyd Ling, Zulkifli Yusop, and Yuk Feng Huang. "Claim Assessment of a Rainfall Runoff Model with Bootstrap." In Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017). Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7279-7_35.

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Conference papers on the topic "Rainfall runoff model"

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Gibbs, Matthew S., Graeme C. Dandy, and Holger R. Maier. "Calibration of Rainfall Runoff Models in Ungauged Catchments: Regionalization Relationships for a Rainfall Runoff Model." In World Environmental and Water Resources Congress 2008. American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40976(316)377.

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Hapsari, R. I., M. Syarifuddin, R. I. Putri, R. Sasongko, and G. Aponno. "SATELLITE SOIL MOISTURE DOWNSCALING USING RAINFALL RUNOFF MODEL." In 18th Annual Meeting of the Asia Oceania Geosciences Society (AOGS 2021). WORLD SCIENTIFIC, 2022. http://dx.doi.org/10.1142/9789811260100_0023.

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Zhu, Qiang, Min Sun, Xiuwan Chen, Zimin Zhang, Xi Mao, and Yun Wen. "Rainfall Runoff Simulation Based on Dynamic Digital Terrain Model." In 2009 3rd International Conference on Bioinformatics and Biomedical Engineering (iCBBE). IEEE, 2009. http://dx.doi.org/10.1109/icbbe.2009.5163278.

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Liong, Shie-Yui, V. T. Van Nguyen, Tirtha Raj Gautam, and Loong Wee. "Alternative Well Calibrated Rainfall-Runoff Model: Genetic Programming Scheme." In Specialty Symposium on Urban Drainage Modeling at the World Water and Environmental Resources Congress 2001. American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40583(275)73.

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MUTTIL, NITIN, and SHIE-YUI LIONG. "SEA: A ROBUST EVOLUTIONARY ALGORITHM FOR RAINFALL-RUNOFF MODEL CALIBRATION." In Proceedings of the 13th IAHRߝ;APD Congress. World Scientific Publishing Company, 2002. http://dx.doi.org/10.1142/9789812776969_0126.

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"Neural Networks and Rainfall-Runoff Model, its Calibration and Validation." In 1st International Workshop on Artificial Neural Networks: data preparation techniques and application development. SciTePress - Science and and Technology Publications, 2004. http://dx.doi.org/10.5220/0001150000600066.

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Kim, Chung-Soo, and Cho-rong Kim. "Parameter Estimation of Rainfall-Runoff Model Using Hydrograph Section Separation." In Green and Smart Technology 2015. Science & Engineering Research Support soCiety, 2015. http://dx.doi.org/10.14257/astl.2015.120.124.

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Contreras, José Guadalupe Garc�a, Jesús Pardo Loaiza, Sonia Tatiana Sánchez Quispe, and Constantino Dom�nguez Sánchez. "Daily Scale Rainfall-Runoff Model of the Cuitzeo Lake Basin." In 40th IAHR World Congress - "Rivers � Connecting Mountains and Coasts". The International Association for Hydro-Environment Engineering and Research (IAHR), 2013. http://dx.doi.org/10.3850/978-90-833476-1-5_iahr40wc-p0498-cd.

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"Estimating rainfall-runoff model parameters using the iterative ensemble smoother." In 24th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2021. http://dx.doi.org/10.36334/modsim.2021.l1.bennett.

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Knoppová, Kateřina, Daniel Marton, and Petr Štěpánek. "APPLICATION OF RAINFALL-RUNOFF MODEL: CLIMATE CHANGE IMPACTS ON RESERVOIR INFLOW." In XXVII Conference of the Danubian Countries on Hydrological Forecasting and Hydrological Bases of Water Management. Nika-Tsentr, 2020. http://dx.doi.org/10.15407/uhmi.conference.01.11.

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The impacts of climate change are beginning to be felt in the Czech Republic. In recent years, we were challenging a dry period, which threatens to continue affecting Czech economy, agriculture and personal comfort of local people. The need to adapt to climate change is obvious. The groundwater resources are in continuous decline, consequently, the surface water supplies are increasing in importance. How would the quantity of available water change in the future? How much water would we be able to store within the year to manage it during the dry seasons? Rainfall-runoff models enable us to si
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Reports on the topic "Rainfall runoff model"

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Hawkins, R. H., and A. Barreto-Munoz. Wildcat5 for Windows, a rainfall-runoff hydrograph model: user manual and documentation. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2016. http://dx.doi.org/10.2737/rmrs-gtr-334.

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Hawkins, R. H., and A. Barreto-Munoz. Wildcat5 for Windows, a rainfall-runoff hydrograph model: user manual and documentation. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2016. http://dx.doi.org/10.2737/rmrs-gtr-334.

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Matus, Sean, and Daniel Gambill. Automation of gridded HEC-HMS model development using Python : initial condition testing and calibration applications. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/46126.

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The US Army Corps of Engineers’s (USACE) Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) rainfall-runoff model is widely used within the research community to develop both event-based and continuous rainfall-runoff models. The soil moisture accounting (SMA) algorithm is commonly used for long-term simulations. Depending on the final model setup, 12 to 18 parameters are needed to characterize the modeled watershed’s canopy, surface, soil, and routing processes, all of which are potential calibration parameters. HEC-HMS includes optimization tools to facilitate model calibrati
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Pradhan, Nawa Raj, Ian Floyd, and Charles Downer. User guidelines on catchment post-wildfire hydrological modeling. Engineer Research and Development Center (U.S.), 2025. https://doi.org/10.21079/11681/49800.

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Wildfires significantly alter watershed hydrology by increasing runoff due to reduced infiltration from soil-water repellency. To predict long-term wildfire impacts, a coupled framework was developed to simulate postfire changes in soil hydraulic properties, infiltration, and hydrological response. This framework integrates Wildfire-Induced Soil Hydraulic (WISH) Factors with a Soil-Moisture Threshold (SMT) formulation in the Green and Ampt infiltration model, representing reduced infiltration due to water repellency. Postfire inputs, including burn severity, soil type, and land use, are format
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Agassi, Menahem, Michael J. Singer, Eyal Ben-Dor, et al. Developing Remote Sensing Based-Techniques for the Evaluation of Soil Infiltration Rate and Surface Roughness. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7586479.bard.

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The objective of this one-year project was to show whether a significant correlation can be established between the decreasing infiltration rate of the soil, during simulated rainstorm, and a following increase in the reflectance of the crusting soil. The project was supposed to be conducted under laboratory conditions, using at least three types of soils from each country. The general goal of this work was to develop a method for measuring the soil infiltration rate in-situ, solely from the reflectance readings, using a spectrometer. Loss of rain and irrigation water from cultivated fields is
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Howard, Heidi, Chad Helmle, Raina Dwivedi, and Daniel Gambill. Stormwater Management and Optimization Toolbox. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39480.

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As stormwater regulations for hydrologic and water quality control become increasingly stringent, Department of Defense (DoD) facilities are faced with the daunting task of complying with multiple laws and regulations. This often requires facilities to plan, design, and implement structural best management practices (BMPs) to capture, filter, and/or infiltrate runoff—requirements that can be complicated, contradictory, and difficult to plan. This project demonstrated the Stormwater Management Optimization Toolbox (SMOT), a spreadsheet-based tool that effectively analyzes and plans for complian
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Moreda, Fekadu, Benjamin Lord, Mauro Nalesso, Pedro Coli Valdes Daussa, and Juliana Corrales. Hydro-BID: New Functionalities (Reservoir, Sediment and Groundwater Simulation Modules). Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009312.

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The Inter-American Development Bank (IDB) provides financial and technicalsupport for infrastructure projects in water and sanitation, irrigation, flood control, transport, and energy, and for development projects in agriculture, urban systems, and natural resources. Many of these projects depend upon water resources and may be affected negatively by climate change and other developments that alter water availability, such as population growth and shifts in land use associated with urbanization, industrial growth, and agricultural practices. Assessing the potential for future changes in water
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Huang, Tao, and Venkatesh Merwade. Developing Customized NRCS Unit Hydrographs (Finley UHs) for Ungauged Watersheds in Indiana. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317644.

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The Natural Resources Conservation Service (NRCS, formerly the Soil Conservation Service, SCS) unit hydrograph (UH) is one of the most commonly used synthetic UH methods for hydrologic modeling and engineering design all over the world. However, previous studies have shown that the application of the NRCS UH method for some ungauged watersheds in the state of Indiana produced unrealistic flood predictions for both the peak discharge and the time to peak. The objective of this work is to customize the NRCS UH by analyzing the role of its two key parameters, namely, the peak rate factor (PRF) an
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Real-time rainfall-runoff model of the Carraizo-reservoir basin in Puerto Rico. US Geological Survey, 1996. http://dx.doi.org/10.3133/wri954235.

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A point-infiltration model for estimating runoff from rainfall on small basins in semiarid areas of Wyoming. US Geological Survey, 1990. http://dx.doi.org/10.3133/wsp2366.

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