Увійти

Готові списки джерел за темами / Rainfall runoff model / Статті в журналах

Щоб переглянути інші типи публікацій з цієї теми, перейдіть за посиланням: Rainfall runoff model.

Статті в журналах з теми "Rainfall runoff model"

Автор: Grafiati

Опубліковано: 4 червня 2021

Оновлено: 25 липня 2025

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Ознайомтеся з топ-50 статей у журналах для дослідження на тему "Rainfall runoff model".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Переглядайте статті в журналах для різних дисциплін та оформлюйте правильно вашу бібліографію.

1

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.

Повний текст джерела

Анотація:

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

Стилі APA, Harvard, Vancouver, ISO та ін.

2

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.

Повний текст джерела

Анотація:

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

Стилі APA, Harvard, Vancouver, ISO та ін.

3

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.

Повний текст джерела

Анотація:

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

Стилі APA, Harvard, Vancouver, ISO та ін.

4

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.

Повний текст джерела

Анотація:

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.

Стилі APA, Harvard, Vancouver, ISO та ін.

5

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.

Повний текст джерела

Анотація:

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

Стилі APA, Harvard, Vancouver, ISO та ін.

6

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.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

7

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).

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

8

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.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

9

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.

Повний текст джерела

Анотація:

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

Стилі APA, Harvard, Vancouver, ISO та ін.

10

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.

Повний текст джерела

Анотація:

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

Стилі APA, Harvard, Vancouver, ISO та ін.

11

Lee, Kang, Joo, Kim, Kim, and Lee. "Hydrological Modeling Approach Using Radar-Rainfall Ensemble and Multi-Runoff-Model Blending Technique." Water 11, no. 4 (2019): 850. http://dx.doi.org/10.3390/w11040850.

Повний текст джерела

Анотація:

The purpose of this study is to reduce the uncertainty in the generation of rainfall data and runoff simulations. We propose a blending technique using a rainfall ensemble and runoff simulation. To create rainfall ensembles, the probabilistic perturbation method was added to the deterministic raw radar rainfall data. Then, we used three rainfall-runoff models that use rainfall ensembles as input data to perform a runoff analysis: The tank model, storage function model, and streamflow synthesis and reservoir regulation model. The generated rainfall ensembles have increased uncertainty when the

Стилі APA, Harvard, Vancouver, ISO та ін.

12

Lee, Hyo-Sang, Min-Woo Jeon, Daniela Balin, and Michael Rode. "Application of Rainfall Runoff Model with Rainfall Uncertainty." Journal of Korea Water Resources Association 42, no. 10 (2009): 773–83. http://dx.doi.org/10.3741/jkwra.2009.42.10.773.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

13

ADHIKARI, RN, S. CHATTARAJAN, US PATTNAIK, and MM SRJVASTAVA. "Rainfall-runoff relationship based on the model of runoff formation at the natural storage." MAUSAM 40, no. 3 (2022): 81–84. http://dx.doi.org/10.54302/mausam.v40i3.2132.

Повний текст джерела

Анотація:

An attempt is mad~ to establish a relationship between rainfall and runoff. The basic input data are (i) rainfall, (ii) run off and (iii) evapotranspiration. The moisture content prior to rainfall under consideration and after the termination of rainfall is computed by water balance technique this method is applied in small agricultural catchments in Soil Conservation Research Farm at Ballary, Karnataka, which is categorised its semiarid zone of black soil region. The relationship between rainfall and runoff under different initial moisture content and rainfall intensities are found out. Attem

Стилі APA, Harvard, Vancouver, ISO та ін.

14

K. N., Vidya. "Runoff assessment by Storm water management model (SWMM)- A new approach." Journal of Applied and Natural Science 13, SI (2021): 142–48. http://dx.doi.org/10.31018/jans.v13isi.2813.

Повний текст джерела

Анотація:

The present study investigated the storm wise runoff collected in farm pond with the runoff estimated by Storm Water Management Model (SWMM) and Soil Conservation Service (SCS-CN) models. The SWMM and SCS-CN models estimated runoff depth storm wise. The runoff depths correspond to the catchment area given the runoff volume from the catchment. The runoff depth estimated from the Storm Water Management Model and Soil Conservation Service model was compared against the depth of runoff estimated from the Water balance model. For small rainfall depths, the runoff estimated from the Storm Water Mana

Стилі APA, Harvard, Vancouver, ISO та ін.

15

Zhou, Yan, Zhongmin Liang, Binquan Li, Yixin Huang, Kai Wang, and Yiming Hu. "Seamless Integration of Rainfall Spatial Variability and a Conceptual Hydrological Model." Sustainability 13, no. 6 (2021): 3588. http://dx.doi.org/10.3390/su13063588.

Повний текст джерела

Анотація:

Rainfall is an important input to conceptual hydrological models, and its accuracy would have a considerable effect on that of the model simulations. However, traditional conceptual rainfall-runoff models commonly use catchment-average rainfall as inputs without recognizing its spatial variability. To solve this, a seamless integration framework that couples rainfall spatial variability with a conceptual rainfall-runoff model, named the statistical rainfall-runoff (SRR) model, is built in this study. In the SRR model, the exponential difference distribution (EDD) is proposed to describe the sp

Стилі APA, Harvard, Vancouver, ISO та ін.

16

Chou, Chien-ming. "Random Modeling of Daily Rainfall and Runoff Using a Seasonal Model and Wavelet Denoising." Mathematical Problems in Engineering 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/917365.

Повний текст джерела

Анотація:

Instead of Fourier smoothing, this study applied wavelet denoising to acquire the smooth seasonal mean and corresponding perturbation term from daily rainfall and runoff data in traditional seasonal models, which use seasonal means for hydrological time series forecasting. The denoised rainfall and runoff time series data were regarded as the smooth seasonal mean. The probability distribution of the percentage coefficients can be obtained from calibrated daily rainfall and runoff data. For validated daily rainfall and runoff data, percentage coefficients were randomly generated according to th

Стилі APA, Harvard, Vancouver, ISO та ін.

17

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.

Повний текст джерела

Анотація:

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

Стилі APA, Harvard, Vancouver, ISO та ін.

18

Vemula, Swathi, K. Srinivasa Raju, and S. Sai Veena. "Modelling impact of future climate and land use land cover on flood vulnerability for policy support – Hyderabad, India." Water Policy 22, no. 5 (2020): 733–47. http://dx.doi.org/10.2166/wp.2020.106.

Повний текст джерела

Анотація:

Abstract The study analyses the impact of climate change and land use land cover (LULC) on runoff of Hyderabad city, India for the years 1995, 2005, 2016 and 2031. Flood vulnerability was evaluated for extreme historic and future rainfall events. Maximum daily rainfalls of 132, 181 and 165 mm that occurred in the decades of 1990–2000, 2001–2010 and 2011–2016 were considered for historic rainfall–runoff modelling. Complementarily in climate change, maximum daily rainfall of 266 mm predicted during 2020–2040 by Geophysical Fluid Dynamics Laboratory-Coupled Model 3 (GFDL-CM3) Representative Conce

Стилі APA, Harvard, Vancouver, ISO та ін.

19

Hearman, A. J., and C. Hinz. "Sensitivity of point scale surface runoff predictions to rainfall resolution." Hydrology and Earth System Sciences 11, no. 2 (2007): 965–82. http://dx.doi.org/10.5194/hess-11-965-2007.

Повний текст джерела

Анотація:

Abstract. This paper investigates the effects of using non-linear, high resolution rainfall, compared to time averaged rainfall on the triggering of hydrologic thresholds and therefore model predictions of infiltration excess and saturation excess runoff at the point scale. The bounded random cascade model, parameterized to three locations in Western Australia, was used to scale rainfall intensities at various time resolutions ranging from 1.875 min to 2 h. A one dimensional, conceptual rainfall partitioning model was used that instantaneously partitioned water into infiltration excess, infilt

Стилі APA, Harvard, Vancouver, ISO та ін.

20

Kovář, P., and V. Kadlec. "Use of the KINFIL rainfall-runoff model on the Hukava catchment." Soil and Water Research 4, No. 1 (2009): 1–9. http://dx.doi.org/10.17221/22/2008-swr.

Повний текст джерела

Анотація:

The paper reports on the flood events on the forested Hukava catchment. It describes practical implementation of the KINFIL rainfall-runoff model. This model has been used for the reconstruction of the rainfall-runoff events and thus for the calibration of its parameters. The model was subsequently used to simulate the design discharges with an event duration of t<sub>d</sub> = 30, 60, and 300 min in the period of recurrence of 100 years, and during the scenario simulations of the land use change when 40% and 80% of the forest in the catchment had been cleared out and then replaced

Стилі APA, Harvard, Vancouver, ISO та ін.

21

Kobayashi, Kenichiro, Shigenori Otsuka, and Kazuo Saito. "Ensemble flood simulation for a small dam catchment in Japan using 10 and 2 km resolution nonhydrostatic model rainfalls." Natural Hazards and Earth System Sciences 16, no. 8 (2016): 1821–39. http://dx.doi.org/10.5194/nhess-16-1821-2016.

Повний текст джерела

Анотація:

Abstract. This paper presents a study on short-term ensemble flood forecasting specifically for small dam catchments in Japan. Numerical ensemble simulations of rainfall from the Japan Meteorological Agency nonhydrostatic model (JMA-NHM) are used as the input data to a rainfall–runoff model for predicting river discharge into a dam. The ensemble weather simulations use a conventional 10 km and a high-resolution 2 km spatial resolutions. A distributed rainfall–runoff model is constructed for the Kasahori dam catchment (approx. 70 km2) and applied with the ensemble rainfalls. The results show th

Стилі APA, Harvard, Vancouver, ISO та ін.

22

Kobayashi, K., S. Otsuka, and K. Saito. "Ensemble flood forecasting to support dam water release operation using 10 and 2 km-resolution JMA Nonhydrostatic Model ensemble rainfalls." Natural Hazards and Earth System Sciences Discussions 3, no. 12 (2015): 7411–56. http://dx.doi.org/10.5194/nhessd-3-7411-2015.

Повний текст джерела

Анотація:

Abstract. This paper presents a study on short-term ensemble flood forecasting specifically for small dam catchments in Japan. Numerical ensemble simulations of rainfall from the Japan Meteorological Agency Nonhydrostatic Model are used as the input data to a rainfall–runoff model for predicting river discharge into a dam. The ensemble weather simulations use a conventional 10 km and a high-resolution 2 km spatial resolution. A distributed rainfall–runoff model is constructed for the Kasahori dam catchment (approx. 70 km2) and applied with the ensemble rainfalls. The results show that the hour

Стилі APA, Harvard, Vancouver, ISO та ін.

23

Herrnegger, M., H. P. Nachtnebel, and K. Schulz. "From runoff to rainfall: inverse rainfall–runoff modelling in a high temporal resolution." Hydrology and Earth System Sciences Discussions 11, no. 12 (2014): 13259–309. http://dx.doi.org/10.5194/hessd-11-13259-2014.

Повний текст джерела

Анотація:

Abstract. This paper presents a novel technique to calculate mean areal rainfall in a high temporal resolution of 60 min on the basis of an inverse conceptual rainfall–runoff model and runoff observations. Rainfall exhibits a large spatio-temporal variability, especially in complex alpine terrain. Additionally, the density of the monitoring network in mountainous regions is low and measurements are subjected to major errors, which lead to significant uncertainties in areal rainfall estimates. The most reliable hydrological information available refers to runoff, which in the presented work is

Стилі APA, Harvard, Vancouver, ISO та ін.

24

Krajewski, Adam, Hyosang Lee, Leszek Hejduk, and Kazimierz Banasik. "Predicted small catchment responses to heavy rainfalls with SEGMO and two sets of model parameters." Annals of Warsaw University of Life Sciences, Land Reclamation 46, no. 3 (2014): 205–20. http://dx.doi.org/10.2478/sggw-2014-0017.

Повний текст джерела

Анотація:

Abstract Predicted small catchment responses to heavy rainfalls with SEGMO and two sets of model parameters. The study tests the ability of hydrological part of SEGMO (SedimentGraph Model), i.e. lumped parametric rainfall-runoff procedure of SEGMO to simulate design storm runoff in a Korean catchment. The aim of the investigation is to predict responses of small catchment of the Jeungpyeong river, located in central part of South Korea, with the area of 133.6 km2, to 100-year rainfall events, applying SEGMO and using two parallel approaches for model parameter estimation. The fi rst approach i

Стилі APA, Harvard, Vancouver, ISO та ін.

25

Burian, S. J., and S. R. Durrans. "Evaluation of an artificial neural network rainfall disaggregation model." Water Science and Technology 45, no. 2 (2002): 99–104. http://dx.doi.org/10.2166/wst.2002.0033.

Повний текст джерела

Анотація:

Previous research produced an artificial neural network (ANN) temporal rainfall disaggregation model. After proper training the model can disaggregate hourly rainfall records into sub-hourly time increments. In this paper we present results from continued evaluations of the performance of the ANN model specifically examining how the errors in the disaggregated rainfall hyetograph translate to errors in the prediction of the runoff hydrograph. Using a rainfall-runoff model of a hypothetical watershed we compare the runoff hydrographs produced by the ANN-predicted 15-minute increment rainfall pa

Стилі APA, Harvard, Vancouver, ISO та ін.

26

Máca, P., and P. Torfs. "The influence of temporal rainfall distribution in the flood runoff modelling." Soil and Water Research 4, Special Issue 2 (2010): S102—S110. http://dx.doi.org/10.17221/471-swr.

Повний текст джерела

Анотація:

The rainfall input is one of the main factors influencing the magnitude of the runoff response during a flood event. Its temporal and spatial distribution significantly contributes to the formation of hydrograph shape, peak discharge and flood volume. A novel approach to the evaluation of the role of the temporal rainfall pattern of hydrograph is presented in this contribution. The methodology shown is based on the coupling of the deterministic event based runoff model with the stochastic rainfall disaggregation model. The rainfall model simulates the hyetograph ensemble, which is the direct i

Стилі APA, Harvard, Vancouver, ISO та ін.

27

Freebairn, DM, and WC Boughton. "Hydrologic effects of crop residue management practices." Soil Research 23, no. 1 (1985): 23. http://dx.doi.org/10.1071/sr9850023.

Повний текст джерела

Анотація:

A daily water balance model of catchment behaviour was used with rainfall and runoff data from three 1 ha catchments over the period 1976-1981 inclusive to study the effects of different practices of crop residue management on volumes and peak rates of runoff. The practices studied were stubble burning, stubble incorporation, and stubble mulching. Rainfall and runoff data from the six-year study period were used to calibrate the catchment model to each of the management practices in turn. A 64-year record of daily rainfalls from a nearby meteorological station was used to estimate the long-ter

Стилі APA, Harvard, Vancouver, ISO та ін.

28

Basri, Hairul. "Development of Rainfall-runoff Model Using Tank Model: Problems and Challenges in Province of Aceh, Indonesia." Aceh International Journal of Science and Technology 2, no. 1 (2013): 26–36. http://dx.doi.org/10.13170/aijst.2.1.574.

Повний текст джерела

Анотація:

Abtstract - Rainfall-runoff model using tank model founded by Sugawara has been widely used in Asia. Many researchers use the tank model to predict water availability and flooding in a watershed. This paper describes the concept of rainfall-runoff model using tank model, discuss the problems and challenges in using of the model, especially in Province of Aceh, Indonesia and how to improve the outcome of simulation of tank model. Many factors affect the rainfall-runoff phenomena of a wide range of watershed include: soil types, land use types, rainfall, morphometry, geology and geomorphology, c

Стилі APA, Harvard, Vancouver, ISO та ін.

29

Tinumbang, Aulia Febianda Anwar, Kazuaki Yorozu, Yasuto Tachikawa, Yutaka Ichikawa, Hidetaka Sasaki, and Tosiyuki Nakaegawa. "Uncertainty in simulated streamflow using runoff driven by the outputs of a high-resolution regional climate model." Proceedings of IAHS 386 (April 19, 2024): 75–79. http://dx.doi.org/10.5194/piahs-386-75-2024.

Повний текст джерела

Анотація:

Abstract. Estimating river discharge using climate model output can aid in analyzing the potential impacts of climate change on water-related disasters. This study aimed to explore the uncertainty in simulated streamflow using the non-hydrostatic regional climate model (NHRCM) outputs in Thailand. The NHRCM was simulated at 5- and 2 km resolutions. To estimate runoff, two land surface models (LSMs) were employed: the Meteorological Research Institute–Simple Biosphere Model (MRI-SiB) in NHRCM and the Simple Biosphere including Urban Canopy (SiBUC). The NHRCM rainfalls captured the seasonal patt

Стилі APA, Harvard, Vancouver, ISO та ін.

30

Brazil, Larry E. "Rainfall runoff model development and applications." Eos, Transactions American Geophysical Union 68, no. 34 (1987): 715. http://dx.doi.org/10.1029/eo068i034p00715.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

31

Franz, Delbert. "Rainfall runoff model development and applications." Eos, Transactions American Geophysical Union 68, no. 34 (1987): 716. http://dx.doi.org/10.1029/eo068i034p00716-01.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

32

Capkun, G., A. C. Davison, and A. Musy. "A robust rainfall-runoff transfer model." Water Resources Research 37, no. 12 (2001): 3207–16. http://dx.doi.org/10.1029/2001wr000295.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

33

Adeyokunnu, A.T. "Rainfall andRunoff Relationship forDetermination ofWater Abstraction Potential ofRiver Osun, Southwestern, Nigeria." Engineering and Technology Journal 08, no. 07 (2023): 2412–16. https://doi.org/10.5281/zenodo.8149996.

Повний текст джерела

Анотація:

The hydrological regime is characterized by high variability of rainfall and runoff distribution. The hydrologist finds it difficult to make accurate prediction of water abstraction by various dams. Inspite that Osun is blessed with abundant water resources being one of the states that supplier water to resident in Osun state, water supply is made inadequate due to lack of schedule of water by facilities abstracting water from the river. In this study, the Rainfall-Runoff Relationship for Determination of Water Abstraction Potential of River Osun was investigated. The model developed was a lin

Стилі APA, Harvard, Vancouver, ISO та ін.

34

Brocca, L., S. Liersch, F. Melone, T. Moramarco, and M. Volk. "Application of a model-based rainfall-runoff database as efficient tool for flood risk management." Hydrology and Earth System Sciences 17, no. 8 (2013): 3159–69. http://dx.doi.org/10.5194/hess-17-3159-2013.

Повний текст джерела

Анотація:

Abstract. A framework for a comprehensive synthetic rainfall-runoff database was developed to study catchment response to a variety of rainfall events. The framework supports effective flood risk assessment and management and implements simple approaches. It consists of three flexible components, a rainfall generator, a continuous rainfall-runoff model, and a database management system. The system was developed and tested at two gauged river sections along the upper Tiber River (central Italy). One of the main questions was to investigate how simple such approaches can be applied without impai

Стилі APA, Harvard, Vancouver, ISO та ін.

35

Lepcha, Kabita. "Estimation of Surface Runoff by SCS-CN Model for the Mountainous watershed of Chhota Rangit River Basin of Darjeeling, India." Ecology, Environment and Conservation 31, Suppl (2025): S120—S132. https://doi.org/10.53550/eec.2025.v31i02s.021.

Повний текст джерела

Анотація:

Surface runoff significantly affects the hydrological characteristics and soil erosion of the river basin. Rainfall, land use land cover and soil texture determines the amount of surface runoff. The estimation of surface runoff is one of the prerequisite for sustainable watershed management. The Soil Conservation ServiceCurve Number (SCS-CN) method is one of the most widely used methods for the surface runoff estimation. In the present study, Chhota Rangit river basin located in the Darjeeling Himalaya has been selected for the estimation of the surface runoff by SCS-CN method. The thematic la

Стилі APA, Harvard, Vancouver, ISO та ін.

36

Kumar, Pushpendra, A. K. Lohani, and A. K. Nema. "Rainfall Runoff Modeling Using MIKE 11 Nam Model." Current World Environment 14, no. 1 (2019): 27–36. http://dx.doi.org/10.12944/cwe.14.1.05.

Повний текст джерела

Анотація:

River basin planning and management are primarily based on the accurate assessment and prediction of catchment runoff. A continuous effort has been made by the various researchers to accurately assess the runoff generated from precipitation by developing various models. In this paper conceptual hydrological MIKE 11 NAM approach has been used for developing a runoff simulation model for Arpasub-basin of Seonath river basin in Chhattisgarh, India. NAM model has been calibrated and validated using discharge data at Kota gauging site on Arpa basin. The calibration and validation results show that

Стилі APA, Harvard, Vancouver, ISO та ін.

37

Charlier, J. B., R. Moussa, P. Cattan, Y. M. Cabidoche, and M. Voltz. "Modelling runoff at the plot scale taking into account rainfall partitioning by vegetation: application to stemflow of banana (<I>Musa</I> spp.) plant." Hydrology and Earth System Sciences Discussions 6, no. 3 (2009): 4307–47. http://dx.doi.org/10.5194/hessd-6-4307-2009.

Повний текст джерела

Анотація:

Abstract. Rainfall partitioning by vegetation modifies the intensity of rainwater reaching the ground, which affects runoff generation. Incident rainfall is intercepted by the plant canopy and then redistributed into throughfall and stemflow. Rainfall intensities at the soil surface are therefore not spatially uniform, generating local variations of runoff production that are disregarded in runoff models. The aim of this paper was to model runoff at the plot scale, accounting for rainfall partitioning by vegetation in the case of plants concentrating rainwater at the plant foot and promoting s

Стилі APA, Harvard, Vancouver, ISO та ін.

38

Charlier, J. B., R. Moussa, P. Cattan, Y. M. Cabidoche, and M. Voltz. "Modelling runoff at the plot scale taking into account rainfall partitioning by vegetation: application to stemflow of banana (<i>Musa</i> spp.) plant." Hydrology and Earth System Sciences 13, no. 11 (2009): 2151–68. http://dx.doi.org/10.5194/hess-13-2151-2009.

Повний текст джерела

Анотація:

Abstract. Rainfall partitioning by vegetation modifies the intensity of rainwater reaching the ground, which affects runoff generation. Incident rainfall is intercepted by the plant canopy and then redistributed into throughfall and stemflow. Rainfall intensities at the soil surface are therefore not spatially uniform, generating local variations of runoff production that are disregarded in runoff models. The aim of this paper was to model runoff at the plot scale, accounting for rainfall partitioning by vegetation in the case of plants concentrating rainwater at the plant foot and promoting s

Стилі APA, Harvard, Vancouver, ISO та ін.

39

Herrnegger, M., H. P. Nachtnebel, and K. Schulz. "From runoff to rainfall: inverse rainfall–runoff modelling in a high temporal resolution." Hydrology and Earth System Sciences 19, no. 11 (2015): 4619–39. http://dx.doi.org/10.5194/hess-19-4619-2015.

Повний текст джерела

Анотація:

Abstract. Rainfall exhibits a large spatio-temporal variability, especially in complex alpine terrain. Additionally, the density of the monitoring network in mountainous regions is low and measurements are subjected to major errors, which lead to significant uncertainties in areal rainfall estimates. In contrast, the most reliable hydrological information available refers to runoff, which in the presented work is used as input for an inverted HBV-type rainfall–runoff model that is embedded in a root finding algorithm. For every time step a rainfall value is determined, which results in a simul

Стилі APA, Harvard, Vancouver, ISO та ін.

40

Koivusalo, Harri, and Tuomo Karvonen. "Modeling Surface Runoff." Hydrology Research 26, no. 3 (1995): 205–22. http://dx.doi.org/10.2166/nh.1995.0012.

Повний текст джерела

Анотація:

The objective of this study was to compare approaches to modeling surface runoff due to summer and autumn storms on a cultivated field. The data consisted of measurements performed every 15 minutes during rainfall-surface runoff events in 1993. A transfer function model was formulated using measured rainfall or rainfall excess as an input and surface runoff as an output. The physical models were based on the kinematic wave approximation of the Saint Venant equations. Surface runoff was assumed to flow first as an overland flow on a level field and second in rills. The results showed that the t

Стилі APA, Harvard, Vancouver, ISO та ін.

41

Chan, Hsun-Chuan, Po-An Chen, and Jung-Tai Lee. "Rainfall-Induced Landslide Susceptibility Using a Rainfall–Runoff Model and Logistic Regression." Water 10, no. 10 (2018): 1354. http://dx.doi.org/10.3390/w10101354.

Повний текст джерела

Анотація:

Conventional landslide susceptibility analysis adopted rainfall depth or maximum rainfall intensity as the hydrological factor. However, using these factors cannot delineate temporal variations of landslide in a rainfall event. In the hydrological cycle, runoff quantity reflects rainfall characteristics and surface feature variations. In this study, a rainfall–runoff model was adopted to simulate the runoff produced by rainfall in various periods of a typhoon event. To simplify the number of factors in landslide susceptibility analysis, the runoff depth was used to replace rainfall factors and

Стилі APA, Harvard, Vancouver, ISO та ін.

42

Yao, Junping, and Tianle Sun. "Research on Urban Rainfall Runoff Pollution Prediction Model Based on Feature Fusion." Discrete Dynamics in Nature and Society 2020 (November 19, 2020): 1–9. http://dx.doi.org/10.1155/2020/8861288.

Повний текст джерела

Анотація:

In this paper, a rainfall runoff pollution prediction method based on grey neural network algorithm is proposed in consideration of the current situation that the accuracy of research results related to rainfall runoff pollution prediction needs to be improved. Meanwhile, the characteristics of rainfall runoff pollution are analyzed from the perspectives of the main sources of rainfall runoff pollution, the types of rainfall runoff pollution, and the initial erosion. The neural network algorithm is optimized and trained according to the sample data to obtain the sample features; the sample dat

Стилі APA, Harvard, Vancouver, ISO та ін.

43

Brocca, L., S. Liersch, F. Melone, T. Moramarco, and M. Volk. "Application of a model-based rainfall-runoff database as efficient tool for flood risk management." Hydrology and Earth System Sciences Discussions 10, no. 2 (2013): 2089–115. http://dx.doi.org/10.5194/hessd-10-2089-2013.

Повний текст джерела

Анотація:

Abstract. A framework for a comprehensive synthetic rainfall-runoff database was developed to study catchment response to a variety of rainfall events. The framework supports effective flood risk assessment and management and implements simple approaches. It consists of three flexible components, a rainfall generator, a continuous rainfall-runoff model, and a database management system. The system has been developed and tested at two gauged river sections along the upper Tiber River (central Italy). One of the main questions was to investigate how simple such approaches can be without impairin

Стилі APA, Harvard, Vancouver, ISO та ін.

44

Murtiono, Ugro Hari. "Kajian Model Estimasi Volume Limpasan Permukaan, Debit Puncak Aliran, dan Erosi Tanah dengan Model Soil Conservation Service (SCS), Rasional Dan Modified Universal Soil Loss Equation (MUSLE) (Studi Kasus di DAS Keduang, Wonogiri)." Forum Geografi 22, no. 2 (2008): 169. http://dx.doi.org/10.23917/forgeo.v22i2.4992.

Повний текст джерела

Анотація:

Hydrologic modelling has been developing and it is usefull for basic data in managing water resources. The aim of the reseach is to estimate volume runoff, maximum discharge, and soil erosion with SCS, Rational, and MUSLE models on Keduang Watershed. Explain the data analysis, and flow to get the data. SCS parameters model use are: runoff, rainfall, deferent between rainfall runoff. The deferent rainfall between runoff relationship kurva Runoff Coefisient (Curve Nunmber/CN). This Coefisient connected with Soil Hydrology Group (antecedent moisture content/AMC), landuse, and cultivation method.

Стилі APA, Harvard, Vancouver, ISO та ін.

45

Sang, Xiuli, Jianxin Xu, Kun Zhang, and Hua Wang. "Analysis and Modeling of Time-Correlated Characteristics of Rainfall-Runoff Similarity in the Upstream Red River Basin." Advances in Meteorology 2012 (2012): 1–7. http://dx.doi.org/10.1155/2012/579764.

Повний текст джерела

Анотація:

We constructed a similarity model (based on Euclidean distance between rainfall and runoff) to study time-correlated characteristics of rainfall-runoff similar patterns in the upstream Red River Basin and presented a detailed evaluation of the time correlation of rainfall-runoff similarity. The rainfall-runoff similarity was used to determine the optimum similarity. The results showed that a time-correlated model was found to be capable of predicting the rainfall-runoff similarity in the upstream Red River Basin in a satisfactory way. Both noised and denoised time series by thresholding the wa

Стилі APA, Harvard, Vancouver, ISO та ін.

46

Whyte, J. M., A. Plumridge, and A. V. Metcalfe. "Comparison of predictions of rainfall-runoff models for changes in rainfall in the Murray-Darling Basin." Hydrology and Earth System Sciences Discussions 8, no. 1 (2011): 917–55. http://dx.doi.org/10.5194/hessd-8-917-2011.

Повний текст джерела

Анотація:

Abstract. Management of water resources requires an appreciation for how climate change, in particular changes in rainfall, affects the volume of water available in runoff. While there are many studies that use hydrological models for this purpose, comparisons of predictions appear much less commonly in the literature. This paper aims to contribute to this discussion by proposing methods for evaluating the effect on daily runoff projections of rainfall-runoff models when historical daily rainfall inputs are scaled by factors that increase and decrease the rainfall. Considered are the widely us

Стилі APA, Harvard, Vancouver, ISO та ін.

47

Sishah, Shimelis. "Rainfall runoff estimation using GIS and SCS-CN method for awash river basin, Ethiopia." International Journal of Hydrology 5, no. 1 (2021): 33–37. http://dx.doi.org/10.15406/ijh.2021.05.00263.

Повний текст джерела

Анотація:

Understanding hydrological behavior is an important part of effective watershed management and planning. Runoff resulted from rainfall is a component of hydrological behavior that is needed for efficient water resource planning. In this paper, GIS based SCS-CN runoff simulation model was applied to estimate rainfall runoff in Awash river basin. Global Curve Number (GCN250), Maximum Soil Water Retention (S) and Rainfall was used as an input for SCS-CN runoff simulation model. The final surface runoff values for the Awash river basin were generated on the basis of total annual rainfall and maxim

Стилі APA, Harvard, Vancouver, ISO та ін.

48

Ma, Ying, He Hai Xie, and Chun Li. "Experimental Analysis on Runoff and Sediment from Sloping Lands in Karst Region." Advanced Materials Research 1073-1076 (December 2014): 1624–29. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.1624.

Повний текст джерела

Анотація:

In order to study the features of Mountainous watershed runoff and erosion in karst region, , on the basis of design of experiment of the the big pore, slope runoff and erosion, artificial rainfall runoff experiment is made, by establishing artificial rainfall, slope runoff test plot. Large quantities of data were obtained through the artificial rainfall test. According to the experimental data, under different rainfall intensity, rainfall, under the pad surface and rainfall process, regularity of slope runoff and sediment yield in karst area is studied to provide data validation for the devel

Стилі APA, Harvard, Vancouver, ISO та ін.

49

Rebora, N., L. Ferraris, J. von Hardenberg, and A. Provenzale. "Rainfall downscaling and flood forecasting: a case study in the Mediterranean area." Natural Hazards and Earth System Sciences 6, no. 4 (2006): 611–19. http://dx.doi.org/10.5194/nhess-6-611-2006.

Повний текст джерела

Анотація:

Abstract. The prediction of the small-scale spatial-temporal pattern of intense rainfall events is crucial for flood risk assessment in small catchments and urban areas. In the absence of a full deterministic modelling of small-scale rainfall, it is common practice to resort to the use of stochastic downscaling models to generate ensemble rainfall predictions to be used as inputs to rainfall-runoff models. In this work we present an application of a new spatial-temporal downscaling procedure, called RainFARM, to an intense precipitation event predicted by the limited-area meteorological model

Стилі APA, Harvard, Vancouver, ISO та ін.

50

Skaugen, Thomas, and Christian Onof. "A rainfall-runoff model parameterized from GIS and runoff data." Hydrological Processes 28, no. 15 (2013): 4529–42. http://dx.doi.org/10.1002/hyp.9968.

Повний текст джерела

Стилі APA, Harvard, Vancouver, ISO та ін.

Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!