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Relevant bibliographies by topics / Rainfall-runoff process

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Academic literature on the topic 'Rainfall-runoff process'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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Journal articles on the topic "Rainfall-runoff process"

1

Wang, Guang-Te, and Yun-Sheng Yu. "MODELING RAINFALL-RUNOFF PROCESS INCLUDING LOSSES." Journal of the American Water Resources Association 26, no. 1 (1990): 61–66. http://dx.doi.org/10.1111/j.1752-1688.1990.tb01351.x.

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Xiao, Pei Qing, Wen Yi Yao, and Chang Gao Wang. "Soil Erosion Process in Sloped Shrub Plots under Simulated Rainfall." Advanced Materials Research 347-353 (October 2011): 2094–97. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.2094.

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Runoff, sediment yield and infiltration process of shrub plots were studied under rainfall intensities of 45, 87 and 127 mm/h with 20° slope gradient using simulated rainfall experiment. The results showed that cumulative runoff and cumulative sediment yield of shrub plot had an obvious positive correlation with rainfall time. Under rainfall intensity of 45 mm/h, runoff and sediment yield of shrub plot kept a constant level. Under rainfall intensity of 87 mm/h, runoff kept a fluctuant increase, whereas sediment yield basically kept steady. Under rainfall intensity of 127 mm/h, runoff and sedim

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SCHERTZER, DANIEL, IOULIA TCHIGUIRINSKAIA, SHAUN LOVEJOY, PIERRE HUBERT, HOCINE BENDJOUDI, and MICHELE LARCHEVÊQUE. "DISCUSSION of “Evidence of chaos in the rainfall-runoff process” Which chaos in the rainfall-runoff process?" Hydrological Sciences Journal 47, no. 1 (2002): 139–48. http://dx.doi.org/10.1080/02626660209492913.

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Gholami, Vahid, and Mohammad Reza Khaleghi. "A simulation of the rainfall-runoff process using artificial neural network and HEC-HMS model in forest lands." Journal of Forest Science 67, No. 4 (2021): 165–74. http://dx.doi.org/10.17221/90/2020-jfs.

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Simulation of the runoff-rainfall process in forest lands is essential for forest land management. In this research, a hydrologic modelling system (HEC-HMS) and artificial neural network (ANN) were applied to simulate the rainfall-runoff process (RRP) in forest lands of Kasilian watershed with an area of 68 square kilometres. The HMS model was performed using the secondary data of rainfall and discharge at the climatology and hydrometric stations, the Soil Conservation Service (SCS) for simulating a flow hydrograph, the curve number (CN) method for runoff estimation, and lag time method for fl

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Hager, Willi H. "Analysis of Non-Linear Rainfall-Runoff Process." Hydrology Research 16, no. 5 (1985): 291–308. http://dx.doi.org/10.2166/nh.1985.0022.

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Rainfall runoff phenomena in small watersheds are favorably modelled using the kinematic wave approach. The present investigation considers excess rainfall as time dependent but ignores spatial effects. Solutions of a recent approach are analyzed for a complete cascade consisting of catchment area and small stream. Typical cases are discussed and results include predictions of maximum discharge at the watershed outlet, corresponding time to peak and the overall description of the resulting hydrograph. Criteria concerning the applicability of the kinematic wave approach are given, and examples

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Smith, Jason, and Robert N. Eli. "Neural-Network Models of Rainfall-Runoff Process." Journal of Water Resources Planning and Management 121, no. 6 (1995): 499–508. http://dx.doi.org/10.1061/(asce)0733-9496(1995)121:6(499).

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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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Komasi, Mehdi, and Soroush Sharghi. "Hybrid wavelet-support vector machine approach for modelling rainfall–runoff process." Water Science and Technology 73, no. 8 (2016): 1937–53. http://dx.doi.org/10.2166/wst.2016.048.

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Because of the importance of water resources management, the need for accurate modeling of the rainfall–runoff process has rapidly grown in the past decades. Recently, the support vector machine (SVM) approach has been used by hydrologists for rainfall–runoff modeling and the other fields of hydrology. Similar to the other artificial intelligence models, such as artificial neural network (ANN) and adaptive neural fuzzy inference system, the SVM model is based on the autoregressive properties. In this paper, the wavelet analysis was linked to the SVM model concept for modeling the rainfall–runo

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SIVAKUMAR, BELLIE, RONNY BERNDTSSON, JONAS OLSSON, and KENJI JINNO. "Evidence of chaos in the rainfall-runoff process." Hydrological Sciences Journal 46, no. 1 (2001): 131–45. http://dx.doi.org/10.1080/02626660109492805.

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Chakravarti, Ankit. "Experimental Invesitigation and Modeling of Rainfall Runoff Process." Indian Journal of Science and Technology 7, no. 12 (2014): 2096–106. http://dx.doi.org/10.17485/ijst/2014/v7i12.6.

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Dissertations / Theses on the topic "Rainfall-runoff process"

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Mohamed, Fadil B. "Space-time ARIMA and transfer function-noise modeling of rainfall-runoff process." Thesis, University of Ottawa (Canada), 1985. http://hdl.handle.net/10393/4723.

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Reusser, Dominik, Theresa Blume, Bettina Schaefli, and Erwin Zehe. "Analysing the temporal dynamics of model performance for hydrological models." Universität Potsdam, 2009. http://opus.kobv.de/ubp/volltexte/2010/4511/.

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The temporal dynamics of hydrological model performance gives insights into errors that cannot be obtained from global performance measures assigning a single number to the fit of a simulated time series to an observed reference series. These errors can include errors in data, model parameters, or model structure. Dealing with a set of performance measures evaluated at a high temporal resolution implies analyzing and interpreting a high dimensional data set. This paper presents a method for such a hydrological model performance assessment with a high temporal resolution and illustrates its app

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Sintondji, Luc O. [Verfasser]. "Modelling the rainfall-runoff process in the Upper Ouémé catchment (Terou in Bénin Republic) in a context of global change: extrapolation from the local to the regional scale / Luc O Sintondji." Aachen : Shaker, 2005. http://d-nb.info/118658775X/34.

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Knoppová, Kateřina. "Srážko-odtokový proces v podmínkách klimatické změny." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2018. http://www.nusl.cz/ntk/nusl-372312.

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The aim of The Diploma Thesis was to compile a conceptual rainfall-runoff model, that would be eligible to model discharge in conditions of climate changes. After thorough verifications of possible variants, user program Runoff Prophet that is eligible to simulate discharge in closing profile of any river basin was compiled within this paper. Runoff Prophet is deterministic lumped model with monthly computation time step and from the hydrologic phenomena it takes soil moisture, evapotranspiration, groundwater flow and the watercourse flow into account. Its calibration is based on the different

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Collodel, Milena Gardai. "Aplicação do modelo hidrológico SWMM na avaliação de diferentes níveis de detalhamento da bacia hidrográfica submetida ao processo de transformação chuva-vazão." Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/18/18138/tde-14102009-182636/.

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Nos últimos anos os modelos hidrológicos distribuídos vêm ganhando espaço por permitirem que a variabilidade espacial das características das bacias hidrográficas seja incorporada no processo de transformação chuva-vazão. Porém, devido a essa capacidade, os modelos distribuídos tendem a ser matematicamente complexos, impondo que muitos parâmetros sejam medidos ou estimados. Apesar de a literatura apresentar diversos trabalhos que tentem verificar o nível de detalhamento mais adequado à representação dos diversos sistemas, as conclusões são contraditórias, mostrando que há necessidade de estudo

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Yeh, Tsung-Tai, and 葉宗泰. "Simulation on the Rainfall-Runoff Process in Shihmen Watershed." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/86834872750230023455.

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碩士<br>國立中央大學<br>土木工程研究所<br>91<br>This study combined one-dimensional river model and two-dimensional runoff model to simulate surface runoff and channel flow of a reservoir watershed during typhoons. The continuity equations of both runoff and river modules were described by the distributed water-budget. The momentum transfer of water was estimated by the Manning’s equations. The Shihmen reservoir was selected as the domain of interest. Different spatial resolutions, time step sizes, channel bottom gradients and cross-sections, spatial rainfall distributions were considered for simulation

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Suen, Jian-Ping, and 孫建平. "A Study of The Artificial Neural Network for the Rainfall Forecasting and Rainfall--Runoff Process." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/34881276614672075268.

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碩士<br>國立臺灣大學<br>農業工程學系<br>84<br>With the improvement of science, the characters of biological brains were investigated and implemented to modern technology. The artificial neural network (ANN) has been developed through the conceptual of biological brain characters and shown to be capable of self-organization and self-learning to describe non- linear systems. Due to the flexible structure and simplex organization of the ANN, it could approximately simulate any complex continuous input-outp

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Gorgens, Andre Hermann Matheus. "Conceptual modelling of the rainfall-runoff process in semi-arid catchments in South Africa." Thesis, 2015. http://hdl.handle.net/10539/16689.

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VANČUROVÁ, Lenka. "Analýza srážko-odtokových procesů a erozních charakteristik vybraného povodí při různém uspořádání krajiny." Master's thesis, 2019. http://www.nusl.cz/ntk/nusl-395324.

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The diploma thesis focuses on the analysis of rainfall-runoff processes and erosion characteristics of selected catchment in different landscape management. This analysis was solved at the Lukavecký brook catchment, which is located in the Pelhřimov district in Vysočina region. The theoretical part of the thesis describes the rainfall-runoff process and then focuses more on individual processes. It also characterizes water erosion, its consequences, forms and erosion control. At the end of the theoretical part are described methods of calculation of water runoff and water erosion. The practi

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Královec, Václav. "Vliv půdní složky a rozdílného krajinného pokryvu na odtokový proces (experimentální výzkum v párových povodích Zbytiny)." Doctoral thesis, 2018. http://www.nusl.cz/ntk/nusl-411442.

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The doctoral thesis deals with the evaluation of influences of causal factors that significantly affect runoff processes in landscape. The research is mainly focused on the examination of land and soil cover impacts and partially pays attention to the effects of surface drainage and snow cover. The main effort was to find out the extent of influences of each individual factor on runoff from a different type of landscape. In order to find the correct answer, a methodical approach was applied to small experimental paired catchments where the research has been continuously undergoing since the ye

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Books on the topic "Rainfall-runoff process"

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King, R. B. Overview and bibliography of methods for evaluating the surface-water-infiltration component of the rainfall-runoff process. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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King, R. B. Overview and bibliography of methods for evaluating the surface-water-infiltration component of the rainfall-runoff process. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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King, R. B. Overview and bibliography of methods for evaluating the surface-water-infiltration component of the rainfall-runoff process. U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Book chapters on the topic "Rainfall-runoff process"

1

Fosumpaur, Pavel. "Application of Artificial Neural Networks to Represent the Rainfall-Runoff Process for Flow Forecasting." In The State of the Art in Computational Intelligence. Physica-Verlag HD, 2000. http://dx.doi.org/10.1007/978-3-7908-1844-4_41.

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Yimam, Abdu Yimer, Ayele Mamo Bekele, Prossie Nakawuka, Petra Schmitter, and Seifu Admasu Tilahun. "Rainfall-Runoff Process and Groundwater Recharge in the Upper Blue Nile Basin: The Case of Dangishta Watershed." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15357-1_43.

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Kadłubowski, Andrzej, Małgorzata Mierkiewicz, and Halina Budzyńska. "Operational Rainfall/Snowmelt-Runoff Model for Upper Narew River." In Modelling of Hydrological Processes in the Narew Catchment. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19059-9_1.

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Koppelaar, Rembrandt, Antonino Marvuglia, and Benedetto Rugani. "Water Runoff and Catchment Improvement by Nature-Based Solution (NBS) Promotion in Private Household Gardens: An Agent-Based Model." In Future City. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71819-0_5.

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AbstractNature-based solutions (NBS) such as rainwater gardens and permeable paving can be deployed as an alternative to conventional urban gardens to improve cities’ resilience against increasing rainfall. This study describes the application of an agent-based model (ABM) to assess the role of private gardens toward the enhancement of water management by households. The ABM simulates the process of switching from “gray” (i.e., paved) to green gardens, taking into account the effect of “soft” (garden networks and gardening workshops) and “hard” (monetary) incentives. The ABM is supported by a water balance model to consider the effect of rainfall on soil water retention. Four different cities in Europe were analyzed: Szeged (Hungary), Alcalá de Henares (Spain), Metropolitan city of Milan (Italy), and Çankaya Municipality (Turkey). The results demonstrate that greening private gardens can generate impact on water run-off and catchment in cities in the order of 5–10%, reaching picks up to 20% in certain cases. While the proposed model is not devoid of limitations, the results provide useful insights in the ways different instruments (e.g., municipal subsidies and knowledge support) could assist with the greening of private gardens for NBS promotion to respond to cities’ water management challenges.

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"Down to Basics: Runoff Processes and the Modelling Process." In Rainfall-Runoff Modelling. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119951001.ch1.

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"Predicting Hydrographs Using Distributed Models Based on Process Descriptions." In Rainfall-Runoff Modelling. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119951001.ch5.

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Waqas, Muhammad, Muhammad Saifullah, Sarfraz Hashim, Mohsin Khan, and Sher Muhammad. "Evaluating the Performance of Different Artificial Intelligence Techniques for Forecasting: Rainfall and Runoff Prospective." In Weather Forecasting [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98280.

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The forecasting plays key role for the water resources planning. Most suitable technique is Artificial intelligence techniques (AITs) for different parameters of weather forecasting and generated runoff. The study compared AITs (RBF-SVM and M5 model tree) to understand the rainfall runoff process in Jhelum River Basin, Pakistan. The rainfall and runoff of Jhelum river used from 1981 to 2012. The Different rainfall and runoff dataset combinations were used to train and test AITs. The data record for the period 1981–2001 used for training and then testing. After training and testing, modeled runoff and observed data was evaluated using R2, NRMSE, COE and MSE. During the training, the dataset C2 and C3 were found to be 0.71 for both datasets using M5 model. Similar results were found for dataset of C3 using RBF-SVM. Over all, C3 and C7 were performed best among all the dataset. The M5 model tree was performed better than other applied techniques. GEP has also exhibited good results to understand rainfall runoff process. The RBF-SVM performed less accurate as compare to other applied techniques. Flow duration curve (FDCs) were used to compare the modeled and observed dataset of Jhelum River basin. For High flow and medium high flows, GEP exhibited well. M5 model tree displayed the better results for medium low and low percentile flows. RBF-SVM exhibited better for low percentile flows. GEP were found the accurate and highly efficient DDM among the AITs applied techniques. This study will help understand the complex rainfall runoff process, which is stochastic process. Weather forecasting play key role in water resources management and planning.

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McKerchar, A. I. "Thresholds in Deterministic Models of the Rainfall-Runoff Process." In Thresholds in Geomorphology. Routledge, 2020. http://dx.doi.org/10.4324/9781003028697-8.

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Hayakawa, Hiroshi, Kunihide Uchijima, Bing Qian Wei, and Mutsuhiro Fujita. "Study on a stochastic approach to the rainfall runoff process." In Stochastic Hydraulics 2000. CRC Press, 2020. http://dx.doi.org/10.1201/9781003078630-66.

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Akbarpour, M., and M. Rahnama. "Simulation of rainfall-runoff process by ANNs and HEC-HMS model." In Dams and Reservoirs, Societies and Environment in the 21st Century, Two Volume Set. CRC Press, 2006. http://dx.doi.org/10.1201/b16818-122.

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Conference papers on the topic "Rainfall-runoff process"

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KOBAYASHI, KENICHIRO, RYO KAWASAKI, ICHIRO FUJITA, and KEISUKE NAKAYAMA. "PROCESS UNDERSTANDING OF THE TOGAGAWA RIVER FLOODING 2008 USING A DISTRIBUTED RAINFALL-RUNOFF/FLOOD-INUNDATION MODEL." In 38th IAHR World Congress. The International Association for Hydro-Environment Engineering and Research (IAHR), 2019. http://dx.doi.org/10.3850/38wc092019-0642.

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Zhenling, Zhengtao Shi, Wenfei Xi, Jie Li, and Bin Su. "The Research Based on SWAT Model of Rainfall-Runoff Process Simulation in Zimu River in Nanxi River Basin." In 2018 26th International Conference on Geoinformatics. IEEE, 2018. http://dx.doi.org/10.1109/geoinformatics.2018.8557170.

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Huang Jinbai, Bin Wang, H. Osamu, and K. Yuki. "Application of kinematic wave model to calculate “rainfall-runoff” process at hilly-gully region in the Loess Plateau, China." In 2011 International Symposium on Water Resource and Environmental Protection (ISWREP). IEEE, 2011. http://dx.doi.org/10.1109/iswrep.2011.5893034.

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Tamás, Enikő Anna, István Göttlinger, Emese Kutassy, and György Varga. "LOWLAND RUNOFF SURVEY AND MODELING FOR DECISION SUPPORT IN MANAGEMENT OF THE TRANSBOUNDARY PALIC-LUDAS CATCHMENT AREA." 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.01.21.

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Palic and Ludas lakes are located in the northern part of Vojvodina, Serbia near the town of Subotica, just a few kilometers south of the Hungarian border. While Palic lake has a long history as a tourist attraction and a nice recreational setting, Ludas lake and the surrounding steppe plains are habitats of international importance and protected by the Ramsar convention on wetlands. The lakes are connected through the Palic-Ludas canal. Thus Ludas lake is fed partially from Palic lake, but also supplied by the Körös river. The majority of the catchment area of the Körös river is in Hungary, t

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Maglana, Jesi Martin R., Hazel Olive O. Parmes, Aaron Charles C. Yu, Ricardo L. Fornis, and Aure Flo A. Oraya. "An attempt to classify landcover of the Butuanon river catchment using Landsat images covering the years 1993 to 2019 for rainfall-runoff modelling." In HIGH-ENERGY PROCESSES IN CONDENSED MATTER (HEPCM 2020): Proceedings of the XXVII Conference on High-Energy Processes in Condensed Matter, dedicated to the 90th anniversary of the birth of RI Soloukhin. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0015027.

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Reports on the topic "Rainfall-runoff process"

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Overview and bibliography of methods for evaluating the surface-water infiltration component of the rainfall-runoff process. US Geological Survey, 1992. http://dx.doi.org/10.3133/wri924095.

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